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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
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<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
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<issn pub-type="epub">1663-9812</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-id pub-id-type="publisher-id">1649139</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2025.1649139</article-id>
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<subject>Original Research</subject>
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<title-group>
<article-title>Intraoperative dexmedetomidine use associated with prolonged postanesthesia care unit recovery time after lung resection: a retrospective cohort study</article-title>
<alt-title alt-title-type="left-running-head">Gao et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2025.1649139">10.3389/fphar.2025.1649139</ext-link>
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<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Gao</surname>
<given-names>Zhenglian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<name>
<surname>Jiang</surname>
<given-names>Yan</given-names>
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<sup>1</sup>
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<surname>Liu</surname>
<given-names>Yixin</given-names>
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<surname>Yang</surname>
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<surname>Zhang</surname>
<given-names>Bangjian</given-names>
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<sup>1</sup>
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<surname>Li</surname>
<given-names>Ming</given-names>
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<aff id="aff1">
<label>1</label>
<institution>Department of Anesthesiology, Panzhihua Central Hospital</institution>, <city>Panzhihua</city>, <state>Sichuan</state>, <country country="CN">China</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Department of Nuclear Medicine, Panzhihua Central Hospital</institution>, <city>Panzhihua</city>, <state>Sichuan</state>, <country country="CN">China</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Bangjian Zhang, <email xlink:href="mailto:376243940@qq.com">376243940@qq.com</email>; Ming Li, <email xlink:href="mailto:liming199408@163.com">liming199408@163.com</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-11-26">
<day>26</day>
<month>11</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1649139</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>08</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Gao, Jiang, Liu, Yang, Zhang and Li.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Gao, Jiang, Liu, Yang, Zhang and Li</copyright-holder>
<license>
<ali:license_ref start_date="2025-11-26">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Dexmedetomidine, despite its wide-ranging benefits, may also pose a risk of delayed recovery in the postanesthesia care unit (PACU). Few studies have examined the relationship between dexmedetomidine and delayed recovery in the PACU after lung resection. Therefore, this retrospective cohort study aimed to investigate the effect of dexmedetomidine on PACU recovery time.</p>
</sec>
<sec>
<title>Methods</title>
<p>This study identified 1,397 eligible patients [dexmedetomidine-free (NO-DEX) group, n &#x3d; 638; intraoperative dexmedetomidine use (DEX) group, n &#x3d; 759] among 1,980 patients undergoing lung resection from January 2020 to December 2023. The primary outcome was the relationship between dexmedetomidine exposure and the risk of prolonged PACU recovery time; secondary outcomes were independent risk factors affecting PACU recovery time. The data were analyzed using propensity score matching and univariate and multivariate logistic regression analyses, as appropriate. In addition, we also developed a nomogram, which was evaluated using the calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA).</p>
</sec>
<sec>
<title>Results</title>
<p>After propensity score matching, there were 521 patients in each group. The incidence of PACU recovery time exceeding 60&#xa0;min was 25.48%. Univariate logistic regression analysis showed that intraoperative dexmedetomidine use was associated with the risk of prolonged PACU recovery time [odds ratio (OR): 1.58; 95% confidence interval (CI): 1.18&#x2013;2.11; <italic>p</italic> &#x3d; 0.002]. Multivariate logistic regression analysis also showed a significant difference in the risk of prolonged PACU recovery time (OR: 1.60; 95% CI: 1.19&#x2013;2.15; <italic>p</italic> &#x3d; 0.002) between the NO-DEX and DEX groups. Sensitivity analyses under varying assumptions confirmed the robustness of our primary results. Independent risk factors for delayed recovery in the PACU included intraoperative dexmedetomidine use, advanced age, smoking, cardiovascular disease, and ASA physical status III, whereas regional block was associated with reduced risk. The predictive nomogram demonstrated moderate discrimination and estimated a 70% probability of delayed PACU recovery in patients presenting with all identified risk factors.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Our data demonstrated that intraoperative dexmedetomidine use was associated with prolonged PACU recovery time following lung resection, potentially increasing the pressure on busy recovery rooms.</p>
</sec>
</abstract>
<kwd-group>
<kwd>dexmedetomidine</kwd>
<kwd>postanesthesia care unit</kwd>
<kwd>delayed recovery</kwd>
<kwd>risk factor</kwd>
<kwd>lung resection</kwd>
</kwd-group>
<funding-group>
<funding-statement>The authors declare that financial support was received for the research and/or publication of this article. This work was supported by the Panzhihua Science and Technology Guiding Project (2023ZD-S-8).</funding-statement>
</funding-group>
<counts>
<fig-count count="5"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="40"/>
<page-count count="13"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Translational Pharmacology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>The recovery unit, also known as the postanesthesia care unit (PACU), is a place where patients gradually recover from the stress state of anesthesia and surgery, and it provides ongoing medical care by professionally trained anesthesia-related personnel until the patients have completely emerged from anesthesia (<xref ref-type="bibr" rid="B30">Wehner and German Society for Anesthesiology and Intensive Care Medicine and Professional Association of German Anesthetists, 2010</xref>; <xref ref-type="bibr" rid="B33">Zemedkun et al., 2022</xref>). The PACU plays a pivotal role in ensuring perioperative patient safety. Strategic patient management within the PACU enhances operating room workflow efficiency, with particular relevance for lung resection patients who demonstrate prolonged recovery trajectories and extended PACU length of stay (<xref ref-type="bibr" rid="B40">Ziarnik and Grogan, 2015</xref>; <xref ref-type="bibr" rid="B23">Puccinelli et al., 2020</xref>). Extended PACU stays impose a substantial burden on healthcare resources, may compromise operating room efficiency, and correlate with elevated healthcare costs and increased incidence of short-term complications (<xref ref-type="bibr" rid="B4">Fairley et al., 2019</xref>; <xref ref-type="bibr" rid="B18">Mann-Farrar et al., 2019</xref>). Additionally, PACU length of stay, a critical indicator of postoperative recovery quality, may be directly influenced by variations in analgesic and anesthetic techniques (<xref ref-type="bibr" rid="B17">Maheshwari et al., 2020</xref>; <xref ref-type="bibr" rid="B24">Schulz et al., 2020</xref>; <xref ref-type="bibr" rid="B34">Zhang et al., 2022</xref>; <xref ref-type="bibr" rid="B27">Sprung et al., 2023</xref>).</p>
<p>Dexmedetomidine, a highly selective &#x3b1;<sub>2</sub>-adrenoreceptor agonist, is widely administered as an adjunct to anesthesia for both surgery and procedural sedation. Dexmedetomidine possesses several advantageous characteristics, including sedation, anxiolysis, anti-inflammatory effects, sympathetic inhibition, bronchodilation, and tachycardia prevention (<xref ref-type="bibr" rid="B12">Hoy and Keating, 2011</xref>; <xref ref-type="bibr" rid="B14">Keating, 2015</xref>). In addition, dexmedetomidine can reduce respiratory depression compared to other sedative drugs (<xref ref-type="bibr" rid="B39">Zhuang et al., 2011</xref>), decrease postanesthetic delirium (<xref ref-type="bibr" rid="B2">Duan et al., 2018</xref>), and diminish postoperative opioid requirements (<xref ref-type="bibr" rid="B9">Grape et al., 2019</xref>). The reduction in respiratory depression and nausea/vomiting has prompted the inclusion of dexmedetomidine into Enhanced Recovery After Surgery (ERAS) protocols at numerous institutions. In particular, in bariatric and cardiac surgery, dexmedetomidine has been found to accelerate recovery. Although dexmedetomidine enhances awakening and extubation conditions (<xref ref-type="bibr" rid="B28">Tung et al., 2020</xref>), its pharmacokinetic profile (half-life: 2&#x2013;3&#xa0;h) may contribute to prolonged sedation and subsequent delays in hospital discharge following sedative colonoscopy (<xref ref-type="bibr" rid="B3">Edokpolo et al., 2019</xref>). For example, dexmedetomidine delays recovery and prolongs discharge times by up to 101&#xa0;min compared to propofol when used for sedation during magnetic resonance imaging and non-invasive procedures (<xref ref-type="bibr" rid="B10">Heard et al., 2008</xref>; <xref ref-type="bibr" rid="B22">Phelps et al., 2015</xref>). Nevertheless, existing evidence regarding the effects of dexmedetomidine on early postoperative recovery is insufficient to justify changes in current clinical practice. Well-designed clinical studies are, therefore, urgently warranted to establish whether intraoperative dexmedetomidine administration prolongs recovery processes, particularly the duration of the PACU stay, following lung resection.</p>
<p>Thus, we carried out a retrospective cohort study to assess whether the intraoperative use of dexmedetomidine influences the PACU recovery time after lung resection. Other risk factors related to the prolonged PACU recovery time were also analyzed in this study.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec id="s2-1">
<title>Study design and population</title>
<p>This retrospective cohort study followed the guidelines of the Declaration of Helsinki and was approved by the Ethics Committee of Panzhihua Central Hospital on 04 Jan 2023 (No. PZHZXYY-REC-003). Data were fully anonymized before analysis. The requirement for informed consent was waived because the study was based on an anonymous analysis of the retrospective electronic medical records.</p>
<p>We retrospectively reviewed the electronic medical records of all patients who underwent lung resection at Panzhihua Central Hospital from January 2020 to December 2023. Exclusion criteria included emergency surgery, age &#x3c;18&#xa0;years, direct transfer to destinations other than the PACU postoperatively, American Society of Anesthesiologists (ASA) physical status &#x2265; IV, and incomplete medical records. The reasons for patients being transferred directly to the ICU or ward, bypassing the PACU, were as follows: (1) preoperative impaired consciousness; (2) extremely poor physical condition; and (3) intraoperative complications, including massive hemorrhage, anaphylactic shock, or severe subcutaneous emphysema. The postoperative decision to transfer patients to the ICU or ward was not influenced by dexmedetomidine use.</p>
</sec>
<sec id="s2-2">
<title>Anesthetic technique for lung resection</title>
<p>The anesthetic technique for lung resection followed the institutional guidelines of Panzhihua Central Hospital. All patients underwent general anesthesia with double-lumen endobronchial intubation. Standard monitoring included electrocardiography, blood pressure, pulse oximetry, end-tidal carbon dioxide, temperature, and, when indicated, invasive arterial and central venous pressure monitoring. Anesthesia was induced with propofol, etomidate, sufentanil, midazolam, and rocuronium and maintained with either total intravenous anesthesia using propofol and remifentanil or inhalational anesthesia with sevoflurane and remifentanil. A selective preoperative thoracic paravertebral or epidural block was applied for regional anesthesia. All patients received patient-controlled intravenous analgesia with a total of 150&#xa0;mL of sufentanil (1.0&#xa0;&#x3bc;g/mL) for postoperative pain control. Patients were stratified into two groups based on intraoperative dexmedetomidine administration: the dexmedetomidine group (DEX group) received intravenous infusion of dexmedetomidine during surgery, while the control group (NO-DEX group) did not receive dexmedetomidine. The institutional protocol for dexmedetomidine administration is as follows: a loading dose of 1&#xa0;&#x3bc;g/kg is administered within 10&#xa0;min prior to anesthetic induction, followed by maintenance infusion at 0.1&#x2013;0.5&#xa0;&#x3bc;g/(kgh) titrated according to patient hemodynamics, with cessation 30&#x2013;60&#xa0;min before surgical completion.</p>
</sec>
<sec id="s2-3">
<title>Measurements</title>
<p>We recorded the following data from the electronic medical records: age, sex, body mass index (BMI), smoking status, drinking status, comorbidities at admission (hypertension, diabetes, cardiovascular disease, cerebrovascular diseases, or respiratory diseases), ASA physical status, duration of anesthesia, duration of one-lung ventilation, anesthesia method, use of regional blocks, intraoperative use of various drugs (dexmedetomidine, vasoactive drugs, or opioids), intraoperative hypoxemia, perioperative blood transfusion, infusion volume, urine volume, blood loss volume, surgical site, the type of operation (segmental/wedge resection, lobectomy, or pneumonectomy), video-assisted thoracic surgery (VATS) or thoracotomy, and the PACU recovery time. All patients in this study received opioids. Total opioid consumption was converted to intravenous morphine equivalent. Dexmedetomidine doses were extracted from anesthesia records and converted to &#x3bc;g/kg based on patient body weight.</p>
</sec>
<sec id="s2-4">
<title>Study outcome</title>
<p>The primary outcome was the association between the dexmedetomidine exposure and the risk of prolonged PACU recovery time. The secondary outcomes were the independent risk factors for affecting the PACU recovery time. The PACU recovery time was defined as the period from entering the PACU to leaving the PACU. The delayed recovery was defined as a PACU recovery time of more than 60&#xa0;min after entering the PACU. Discharge criteria from the PACU for patients under general anesthesia at our institution were as follows: Steward score &#x2265;4 points; Aldrete score &#x2265;9 points. Patients who exhibited hemodynamic instability or respiratory complications requiring continued respiratory support or intensive monitoring were transferred to the ICU and therefore excluded from the analysis.</p>
</sec>
<sec id="s2-5">
<title>Statistical analysis</title>
<p>The sample size calculation was not performed in advance because this retrospective study included all patients who underwent lung resection at Panzhihua Central Hospital between January 2020 and December 2023. Therefore, the analysis was conducted using the available patient data within this period.</p>
<p>The study results were described as the number with percentage for categorical variables and as the mean with standard deviation or the median with interquartile range for continuous variables, as appropriate. The Shapiro&#x2013;Wilk test was used to assess the normality of the distribution of continuous variables. The differences between groups of continuous variables were compared using the independent-sample t-test or Wilcoxon rank-sum test, and categorical variables were compared using the chi-square test.</p>
<p>Propensity score matching was used to reduce the potential confounding effects of variables and the differences in baseline characteristics between the two groups. Logistic regression analysis was used to estimate the propensity score of patients in the DEX group. Two groups of patients were matched at a ratio of 1:1 using the nearest neighbor method, with a caliper of 0.1 and a random seed number of 123. The variables used for matching were age, sex, BMI, smoking status, drinking status, hypertension, diabetes, cardiovascular disease, cerebrovascular diseases, respiratory diseases, ASA physical status, duration of anesthesia, duration of one-lung ventilation, anesthesia method, regional blocks, morphine equivalent, vasoactive drugs, intraoperative hypoxemia, perioperative blood transfusion, infusion volume, urine volume, blood loss volume, surgical site, type of operation, and VATS. The standardized mean difference (SMD) was used to evaluate the balance on baseline characteristics between the two groups, with a value &#x3c;0.10 indicating good balance.</p>
<p>In the propensity-matched cohort, univariate and multivariate logistic regression analyses were used to evaluate the association between dexmedetomidine and PACU recovery time after general anesthesia. In the total study cohort, univariate and multivariate logistic regression analyses were performed to explore the independent risk factors influencing PACU recovery time in patients undergoing lung resection. Results were expressed as odds ratio (OR) and 95% confidence interval (CI). Variables with <italic>p</italic>-values &#x3c;0.05 in univariate logistic regression analysis were included in the multivariate logistic regression analysis. Variables with <italic>p</italic> &#x3c; 0.05 in the multivariate regression analysis were used to develop a nomogram, which was evaluated using the calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA).</p>
<p>In addition, to assess the robustness of our findings, we performed the following sensitivity analyses: Model A incorporated variables with <italic>p</italic>-values &#x3c;0.05 in univariate logistic regression analysis and those with clinical significance, whereas Model B incorporated all variables. Furthermore, the total study cohort prior to propensity score matching was analyzed to further assess the robustness of our findings.</p>
<p>All analyses were performed using R software version 4.4.2 (R Foundation for Statistical Computing, Austria). A two-tailed <italic>p</italic> &#x3c; 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<p>In total, 1,397 patients (NO-DEX group, n &#x3d; 638; DEX group, n &#x3d; 759) were finally included in the analyses (<xref ref-type="fig" rid="F1">Figure 1</xref>). A total of 356 patients (25.48%) had PACU recovery times exceeding 60&#xa0;min.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Flow diagram of the study population.</p>
</caption>
<graphic xlink:href="fphar-16-1649139-g001.tif">
<alt-text content-type="machine-generated">Flowchart illustrating patient selection for lung resection study. Initially, 1980 patients were considered between January 2020 and December 2023. Exclusions (n=583) included emergency surgery, age under 18, non-transfer to PACU, ASA status IV or higher, incomplete records, and other reasons. A total of 1397 were eligible, divided into NO-DEX (n=638) and DEX (n=759) groups. After 1:1 propensity score matching, the cohort consisted of 1042 patients, evenly split between NO-DEX and DEX groups, each with 521 patients.</alt-text>
</graphic>
</fig>
<p>The baseline characteristics of patients in both groups are presented for the total study cohort and the propensity score-matched cohort (<xref ref-type="table" rid="T1">Table 1</xref>). In the total study cohort, there were differences between the two groups in intraoperative infusion volume, urine volume, and morphine equivalent (SMD &#x2265;0.10). After propensity score matching, there were 521 patients in each group. The SMD suggested that all variables were well matched between the two groups (SMD &#x3c;0.10) (<xref ref-type="fig" rid="F2">Figure 2</xref>). The median PACU recovery time was 50 (30, 65) minutes in the total study cohort and 50 (30, 60) minutes in the propensity-matched cohort. Statistically significant differences in the PACU recovery time were observed between the DEX and NO-DEX groups in both cohorts (<xref ref-type="table" rid="T2">Table 2</xref>). Patients receiving dexmedetomidine had significantly longer PACU stays than those without dexmedetomidine exposure (60 [30, 75] vs. 45 [30, 60] minutes, <italic>p</italic> &#x3d; 0.014; <xref ref-type="fig" rid="F3">Figure 3A</xref>). This effect was more pronounced in patients receiving cumulative doses above the median threshold of 1.60&#xa0;&#x3bc;g/kg (60 [45, 90] vs. 45 [30, 60] minutes, <italic>p</italic> &#x3c; 0.001; <xref ref-type="fig" rid="F3">Figure 3B</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Patient characteristics before and after matching.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="3" align="left">Variable</th>
<th colspan="3" align="left">Total study cohort</th>
<th colspan="3" align="left">Propensity-matched cohort<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</th>
</tr>
<tr>
<th align="center">NO-DEX</th>
<th align="center">DEX</th>
<th align="center">
<italic>SMD</italic>
<xref ref-type="table-fn" rid="Tfn2">
<sup>b</sup>
</xref>
</th>
<th align="center">NO-DEX</th>
<th align="center">DEX</th>
<th align="center">
<italic>SMD</italic>
</th>
</tr>
<tr>
<th align="center">(n &#x3d; 638)</th>
<th align="center">(n &#x3d; 759)</th>
<th align="left"/>
<th align="center">(n &#x3d; 521)</th>
<th align="center">(n &#x3d; 521)</th>
<th align="left"/>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age (years)</td>
<td align="left">58.27 &#xb1; 8.20</td>
<td align="left">58.17 &#xb1; 8.33</td>
<td align="center">0.011</td>
<td align="left">58.05 &#xb1; 8.42</td>
<td align="left">58.37 &#xb1; 8.19</td>
<td align="center">0.040</td>
</tr>
<tr>
<td align="left">Sex (male)</td>
<td align="left">349 (54.7)</td>
<td align="left">409 (53.9)</td>
<td align="center">0.016</td>
<td align="left">284 (54.5)</td>
<td align="left">286 (54.9)</td>
<td align="center">0.008</td>
</tr>
<tr>
<td align="left">BMI<xref ref-type="table-fn" rid="Tfn3">
<sup>c</sup>
</xref> (kg/m<sup>2</sup>)</td>
<td align="left">23.48 &#xb1; 3.13</td>
<td align="left">23.57 &#xb1; 3.06</td>
<td align="center">0.030</td>
<td align="left">23.48 &#xb1; 3.09</td>
<td align="left">23.46 &#xb1; 3.12</td>
<td align="center">0.005</td>
</tr>
<tr>
<td align="left">Smoking</td>
<td align="left">269 (42.2)</td>
<td align="left">315 (41.5)</td>
<td align="center">0.013</td>
<td align="left">220 (42.2)</td>
<td align="left">220 (42.2)</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">Drinking</td>
<td align="left">184 (28.8)</td>
<td align="left">212 (27.9)</td>
<td align="center">0.020</td>
<td align="left">154 (29.6)</td>
<td align="left">147 (28.2)</td>
<td align="center">0.030</td>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="7" align="left">Comorbidities at admission</td>
</tr>
<tr>
<td align="left">&#x2003;Hypertension</td>
<td align="left">139 (21.8)</td>
<td align="left">163 (21.5)</td>
<td align="center">0.008</td>
<td align="left">113 (21.7)</td>
<td align="left">110 (21.1)</td>
<td align="center">0.014</td>
</tr>
<tr>
<td align="left">&#x2003;Diabetes</td>
<td align="left">64 (10.0)</td>
<td align="left">69 (9.1)</td>
<td align="center">0.032</td>
<td align="left">47 (9.0)</td>
<td align="left">44 (8.4)</td>
<td align="center">0.020</td>
</tr>
<tr>
<td align="left">&#x2003;Cardiovascular disease</td>
<td align="left">85 (13.3)</td>
<td align="left">80 (10.5)</td>
<td align="center">0.086</td>
<td align="left">58 (11.1)</td>
<td align="left">58 (11.1)</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Cerebrovascular diseases</td>
<td align="left">58 (9.1)</td>
<td align="left">80 (10.5)</td>
<td align="center">0.049</td>
<td align="left">49 (9.4)</td>
<td align="left">51 (9.8)</td>
<td align="center">0.013</td>
</tr>
<tr>
<td align="left">&#x2003;Respiratory diseases</td>
<td align="left">35 (5.5)</td>
<td align="left">43 (5.7)</td>
<td align="center">0.008</td>
<td align="left">29 (5.6)</td>
<td align="left">27 (5.2)</td>
<td align="center">0.017</td>
</tr>
<tr>
<td align="left">ASA<xref ref-type="table-fn" rid="Tfn3">
<sup>c</sup>
</xref> grading</td>
<td align="left"/>
<td align="left"/>
<td align="center">0.041</td>
<td align="left"/>
<td align="left"/>
<td align="center">0.031</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2160;</td>
<td align="left">179 (28.1)</td>
<td align="left">214 (28.2)</td>
<td align="left"/>
<td align="left">142 (27.3)</td>
<td align="left">138 (26.5)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2161;</td>
<td align="left">362 (56.7)</td>
<td align="left">419 (55.2)</td>
<td align="left"/>
<td align="left">290 (55.7)</td>
<td align="left">298 (57.2)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2162;</td>
<td align="left">97 (15.2)</td>
<td align="left">126 (16.6)</td>
<td align="left"/>
<td align="left">89 (17.1)</td>
<td align="left">85 (16.3)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Anesthesia method</td>
<td align="left"/>
<td align="left"/>
<td align="center">0.006</td>
<td align="left"/>
<td align="left"/>
<td align="center">0.012</td>
</tr>
<tr>
<td align="left">&#x2003;INHA<xref ref-type="table-fn" rid="Tfn3">
<sup>c</sup>
</xref>
</td>
<td align="left">390 (61.1)</td>
<td align="left">466 (61.4)</td>
<td align="left"/>
<td align="left">316 (60.7)</td>
<td align="left">313 (60.1)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;TIVA<xref ref-type="table-fn" rid="Tfn3">
<sup>c</sup>
</xref>
</td>
<td align="left">248 (38.9)</td>
<td align="left">293 (38.6)</td>
<td align="left"/>
<td align="left">205 (39.3)</td>
<td align="left">208 (39.9)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Regional blocks</td>
<td align="left">246 (38.6)</td>
<td align="left">300 (39.5)</td>
<td align="center">0.020</td>
<td align="left">200 (38.4)</td>
<td align="left">204 (39.2)</td>
<td align="center">0.016</td>
</tr>
<tr>
<td align="left">Duration of anesthesia (hour)</td>
<td align="left">3.54 &#xb1; 0.94</td>
<td align="left">3.53 &#xb1; 0.92</td>
<td align="center">0.013</td>
<td align="left">3.50 &#xb1; 0.91</td>
<td align="left">3.50 &#xb1; 0.93</td>
<td align="center">0.006</td>
</tr>
<tr>
<td align="left">Duration of one-lung ventilation (hour)</td>
<td align="left">2.05 &#xb1; 0.86</td>
<td align="left">1.99 &#xb1; 0.82</td>
<td align="center">0.068</td>
<td align="left">1.99 &#xb1; 0.83</td>
<td align="left">1.98 &#xb1; 0.82</td>
<td align="center">0.012</td>
</tr>
<tr>
<td align="left">Morphine equivalent (mg)</td>
<td align="left">119.71 &#xb1; 43.50</td>
<td align="left">115.05 &#xb1; 40.76</td>
<td align="center">0.111</td>
<td align="left">115.84 &#xb1; 39.79</td>
<td align="left">115.69 &#xb1; 42.35</td>
<td align="center">0.004</td>
</tr>
<tr>
<td align="left">Vasoactive drugs</td>
<td align="left">260 (40.8)</td>
<td align="left">304 (40.1)</td>
<td align="center">0.014</td>
<td align="left">208 (39.9)</td>
<td align="left">215 (41.3)</td>
<td align="center">0.027</td>
</tr>
<tr>
<td align="left">Intraoperative hypoxemia</td>
<td align="left">9 (1.4)</td>
<td align="left">9 (1.2)</td>
<td align="center">0.020</td>
<td align="left">7 (1.3)</td>
<td align="left">8 (1.5)</td>
<td align="center">0.016</td>
</tr>
<tr>
<td align="left">Perioperative transfusion</td>
<td align="left">65 (10.2)</td>
<td align="left">69 (9.1)</td>
<td align="center">0.037</td>
<td align="left">52 (10.0)</td>
<td align="left">51 (9.8)</td>
<td align="center">0.006</td>
</tr>
<tr>
<td align="left">Infusion volume (mL)</td>
<td align="left">1704.31 &#xb1; 485.93</td>
<td align="left">1844.33 &#xb1; 505.78</td>
<td align="center">0.282</td>
<td align="left">1755.76 &#xb1; 474.95</td>
<td align="left">1780.33 &#xb1; 520.48</td>
<td align="center">0.049</td>
</tr>
<tr>
<td align="left">Urine volume (mL)</td>
<td align="left">338.46 &#xb1; 200.91</td>
<td align="left">396.67 &#xb1; 195.80</td>
<td align="center">0.293</td>
<td align="left">347.10 &#xb1; 199.57</td>
<td align="left">365.30 &#xb1; 180.43</td>
<td align="center">0.096</td>
</tr>
<tr>
<td align="left">Blood loss (mL)</td>
<td align="left">97.84 &#xb1; 81.26</td>
<td align="left">96.63 &#xb1; 123.95</td>
<td align="center">0.012</td>
<td align="left">96.76 &#xb1; 80.37</td>
<td align="left">97.22 &#xb1; 112.52</td>
<td align="center">0.005</td>
</tr>
<tr>
<td align="left">Surgical site (left)</td>
<td align="left">284 (44.5)</td>
<td align="left">324 (42.7)</td>
<td align="center">0.037</td>
<td align="left">222 (42.6)</td>
<td align="left">216 (41.5)</td>
<td align="center">0.023</td>
</tr>
<tr>
<td align="left">Type of operation</td>
<td align="left"/>
<td align="left"/>
<td align="center">0.064</td>
<td align="left"/>
<td align="left"/>
<td align="center">0.024</td>
</tr>
<tr>
<td align="left">&#x2003;Segmental/wedge resection</td>
<td align="left">194 (30.4)</td>
<td align="left">209 (27.5)</td>
<td align="left"/>
<td align="left">151 (29.0)</td>
<td align="left">151 (29.0)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Lobectomy</td>
<td align="left">439 (68.8)</td>
<td align="left">543 (71.5)</td>
<td align="left"/>
<td align="left">366 (70.2)</td>
<td align="left">367 (70.4)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Pneumonectomy</td>
<td align="left">5 (0.8)</td>
<td align="left">7 (0.9)</td>
<td align="left"/>
<td align="left">4 (0.8)</td>
<td align="left">3 (0.6)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">VATS<xref ref-type="table-fn" rid="Tfn3">
<sup>c</sup>
</xref>
</td>
<td align="left">497 (77.9)</td>
<td align="left">615 (81.0)</td>
<td align="center">0.077</td>
<td align="left">422 (81.0)</td>
<td align="left">419 (80.4)</td>
<td align="center">0.015</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are presented as the mean &#xb1; SD or n (%).</p>
</fn>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>Logistic regression analysis was used to estimate the propensity score of patients in the DEX group including all variables. The two groups of patients were matched at a ratio of 1:1 by the nearest neighbor method with a caliper of 0.1.</p>
</fn>
<fn id="Tfn2">
<label>
<sup>b</sup>
</label>
<p>SMD, standardized mean difference. SMD &#x3c;0.10 presented that the variable was well matched and that there was no difference between the two groups.</p>
</fn>
<fn id="Tfn3">
<label>
<sup>c</sup>
</label>
<p>ASA, American Society of Anesthesiologists; BMI, body mass index; INHA, inhalational anesthesia; TIVA, total intravenous anesthesia; VATS: video-assisted thoracic surgery.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Distribution of standardized mean difference for variables included before and after matching. Standardized mean difference values &#x3c;0.10 presented that the variable was well matched and that there was no difference between the two groups.</p>
</caption>
<graphic xlink:href="fphar-16-1649139-g002.tif">
<alt-text content-type="machine-generated">Dot plot showing standardized mean differences for various variables, comparing propensity-matched and total study cohorts. Red diamonds represent the propensity-matched cohort, and orange squares represent the total study cohort. Most differences are close to the zero line, indicating balance between cohorts. Variables include urine volume, infusion volume, cardiovascular disease, and more.</alt-text>
</graphic>
</fig>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>PACU recovery time.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">PACU recovery time (min)</th>
<th colspan="2" align="center">Total</th>
<th colspan="2" align="center">NO-DEX group</th>
<th colspan="2" align="center">DEX group</th>
<th rowspan="2" align="center">
<italic>p</italic>-value</th>
</tr>
<tr>
<th align="center">n</th>
<th align="center">Median (interquartile range)</th>
<th align="center">n</th>
<th align="center">Median (interquartile range)</th>
<th align="center">n</th>
<th align="center">Median (interquartile range)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Total study cohort</td>
<td align="center">1,397</td>
<td align="center">50 (30, 65)</td>
<td align="center">638</td>
<td align="center">45 (30, 60)</td>
<td align="center">759</td>
<td align="center">60 (30, 75)</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="left">Propensity-matched cohort</td>
<td align="center">1,042</td>
<td align="center">50 (30, 60)</td>
<td align="center">521</td>
<td align="center">45 (30, 60)</td>
<td align="center">521</td>
<td align="center">60 (30, 75)</td>
<td align="center">0.014</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Association between dexmedetomidine doses and PACU recovery time. <bold>(A)</bold> Not received dexmedetomidine vs. received dexmedetomidine. <bold>(B)</bold> Received cumulative doses above the median (1.60&#xa0;&#x3bc;g/kg) vs. received cumulative doses below the median.</p>
</caption>
<graphic xlink:href="fphar-16-1649139-g003.tif">
<alt-text content-type="machine-generated">Violin plots comparing PACU recovery times in minutes. Plot A shows groups &#x22;NO-DEX&#x22; and &#x22;DEX&#x22; with a p-value of 0.014. Plot B illustrates &#x22;Low-dose&#x22; and &#x22;High-dose&#x22; groups with a p-value less than 0.001. Each plot includes boxplots within the violins, indicating data distribution and median recovery times for each group.</alt-text>
</graphic>
</fig>
<p>The univariate and multivariate logistic regression analysis models were constructed to compare the association between dexmedetomidine and the risk of prolonged PACU recovery time in the propensity-matched cohort (<xref ref-type="table" rid="T3">Table 3</xref>). Univariate logistic regression analysis demonstrated that intraoperative dexmedetomidine use was significantly associated with the risk of prolonged PACU recovery time (OR: 1.58; 95% CI: 1.18&#x2013;2.11; <italic>p</italic> &#x3d; 0.002). Variables with <italic>p</italic>-values &#x3c;0.05 in univariate logistic regression analysis were subsequently entered into the multivariate logistic regression model. After adjustment for confounding variables, intraoperative dexmedetomidine use remained independently associated with the risk of prolonged PACU recovery time (OR: 1.60; 95% CI: 1.19&#x2013;2.15; <italic>p</italic> &#x3d; 0.002). Sensitivity analyses confirmed the robustness of our primary findings across different model specifications: Model A (OR: 1.60; 95% CI: 1.19&#x2013;2.16; <italic>p</italic> &#x3d; 0.002), Model B (OR: 1.61; 95% CI: 1.19&#x2013;2.18; <italic>p</italic> &#x3d; 0.002), and the total study cohort model (OR: 1.73; 95% CI: 1.34&#x2013;2.23; <italic>p</italic> &#x3c; 0.001).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Univariate and multivariate logistic regression analyses for PACU recovery time after propensity score matching.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Variable</th>
<th colspan="2" align="center">Univariate logistic regression analysis</th>
<th colspan="2" align="center">Multivariate logistic regression analysis</th>
</tr>
<tr>
<th align="center">Odds ratio [95% CI<xref ref-type="table-fn" rid="Tfn4">
<sup>a</sup>
</xref>]</th>
<th align="center">
<italic>p</italic>-value</th>
<th align="center">Odds ratio [95% CI<xref ref-type="table-fn" rid="Tfn4">
<sup>a</sup>
</xref>]</th>
<th align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">Dexmedetomidine</td>
</tr>
<tr>
<td align="left">&#x2003;NO-DEX</td>
<td align="left">Reference</td>
<td align="left"/>
<td align="left">Reference</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;DEX</td>
<td align="left">1.58 [1.18&#x2013;2.11]</td>
<td align="center">0.002</td>
<td align="left">1.60 [1.19, 2.15]</td>
<td align="center">0.002</td>
</tr>
<tr>
<td align="left">Age (years)</td>
<td align="left">1.03 [1.01&#x2013;1.05]</td>
<td align="center">0.002</td>
<td align="left">1.02 [1.00, 1.04]</td>
<td align="center">0.028</td>
</tr>
<tr>
<td align="left">Sex (male)</td>
<td align="left">0.84 [0.63&#x2013;1.12]</td>
<td align="center">0.231</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">BMI<xref ref-type="table-fn" rid="Tfn4">
<sup>a</sup>
</xref> (kg/m<sup>2</sup>)</td>
<td align="left">0.99 [0.95&#x2013;1.04]</td>
<td align="center">0.691</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Smoking</td>
<td align="left">1.60 [1.20&#x2013;2.13]</td>
<td align="center">0.001</td>
<td align="left">1.57 [1.17, 2.11]</td>
<td align="center">0.003</td>
</tr>
<tr>
<td align="left">Drinking</td>
<td align="left">0.98 [0.71&#x2013;1.34]</td>
<td align="center">0.882</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">Comorbidities at admission</td>
</tr>
<tr>
<td align="left">&#x2003;Hypertension</td>
<td align="left">0.99 [0.70&#x2013;1.40]</td>
<td align="center">0.959</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Diabetes</td>
<td align="left">1.02 [0.62&#x2013;1.68]</td>
<td align="center">0.948</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Cardiovascular disease</td>
<td align="left">1.58 [1.04&#x2013;2.40]</td>
<td align="center">0.033</td>
<td align="left">1.46 [0.93, 2.26]</td>
<td align="center">0.098</td>
</tr>
<tr>
<td align="left">&#x2003;Cerebrovascular diseases</td>
<td align="left">0.83 [0.50&#x2013;1.38]</td>
<td align="center">0.476</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Respiratory diseases</td>
<td align="left">1.18 [0.64&#x2013;2.16]</td>
<td align="center">0.603</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">ASA<xref ref-type="table-fn" rid="Tfn4">
<sup>a</sup>
</xref> grading</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2160;</td>
<td align="left">Reference</td>
<td align="left"/>
<td align="left">Reference</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;&#x2161;</td>
<td align="left">1.18 [0.83&#x2013;1.69]</td>
<td align="center">0.348</td>
<td align="left">1.04 [0.72, 1.50]</td>
<td align="center">0.851</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2162;</td>
<td align="left">2.26 [1.48&#x2013;3.47]</td>
<td align="center">&#x3c;0.001</td>
<td align="left">1.94 [1.24, 3.03]</td>
<td align="center">0.003</td>
</tr>
<tr>
<td align="left">Duration of anesthesia (hour)</td>
<td align="left">1.03 [0.88&#x2013;1.20]</td>
<td align="center">0.707</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Duration of one-lung ventilation (hour)</td>
<td align="left">0.92 [0.77&#x2013;1.10]</td>
<td align="center">0.385</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">Anesthesia method</td>
</tr>
<tr>
<td align="left">&#x2003;INHA<xref ref-type="table-fn" rid="Tfn4">
<sup>a</sup>
</xref>
</td>
<td align="left">Reference</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;TIVA<xref ref-type="table-fn" rid="Tfn4">
<sup>a</sup>
</xref>
</td>
<td align="left">1.08 [0.80&#x2013;1.44]</td>
<td align="center">0.623</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Regional blocks</td>
<td align="left">0.74 [0.55&#x2013;0.99]</td>
<td align="center">0.044</td>
<td align="left">0.71 [0.52, 0.96]</td>
<td align="center">0.030</td>
</tr>
<tr>
<td align="left">Morphine equivalent</td>
<td align="left">1.00 [0.99&#x2013;1.00]</td>
<td align="center">0.231</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Vasoactive drugs</td>
<td align="left">1.35 [1.01&#x2013;1.80]</td>
<td align="center">0.040</td>
<td align="left">1.28 [0.95, 1.72]</td>
<td align="center">0.104</td>
</tr>
<tr>
<td align="left">Intraoperative hypoxemia</td>
<td align="left">0.79 [0.22&#x2013;2.84]</td>
<td align="center">0.722</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Perioperative transfusion</td>
<td align="left">1.42 [0.91&#x2013;2.23]</td>
<td align="center">0.122</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Infusion volume (mL)</td>
<td align="left">1.00 [1.00&#x2013;1.00]</td>
<td align="center">0.656</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Urine volume (mL)</td>
<td align="left">1.00 [1.00&#x2013;1.00]</td>
<td align="center">0.926</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Blood loss (mL)</td>
<td align="left">1.00 [1.00&#x2013;1.00]</td>
<td align="center">0.515</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Surgical site (left)</td>
<td align="left">1.01 [0.75&#x2013;1.34]</td>
<td align="center">0.961</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">Type of operation</td>
</tr>
<tr>
<td align="left">&#x2003;Segmental/wedge resection</td>
<td align="left">Reference</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Lobectomy</td>
<td align="left">0.83 [0.61&#x2013;1.12]</td>
<td align="center">0.222</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Pneumonectomy</td>
<td align="left">0.46 [0.05&#x2013;3.90]</td>
<td align="center">0.478</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">VATS<xref ref-type="table-fn" rid="Tfn4">
<sup>a</sup>
</xref>
</td>
<td align="left">1.38 [0.94&#x2013;2.03]</td>
<td align="center">0.097</td>
<td align="left"/>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are presented as the odds ratio [95% CI].</p>
</fn>
<fn id="Tfn4">
<label>
<sup>a</sup>
</label>
<p>ASA, American Society of Anesthesiologists; BMI, body mass index; CI, confidence interval; INHA, inhalational anesthesia; TIVA, total intravenous anesthesia; VATS: video-assisted thoracic surgery.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In the total study cohort, univariate and multivariate logistic regression analyses were performed to explore the independent risk factors influencing PACU recovery time (<xref ref-type="table" rid="T4">Table 4</xref>). Multivariable analysis identified several independent risk factors: intraoperative dexmedetomidine administration (OR: 1.73; 95% CI: 1.34&#x2013;2.23; <italic>p</italic> &#x3c; 0.001), advanced age (OR: 1.02, 95% CI: 1.01&#x2013;1.04; <italic>p</italic> &#x3d; 0.005), smoking (OR: 1.52, 95% CI: 1.19&#x2013;1.96; <italic>p</italic> &#x3d; 0.001), cardiovascular disease (OR: 1.56, 95% CI: 1.07&#x2013;2.23; <italic>p</italic> &#x3d; 0.018), and ASA physical status III (OR: 1.90, 95% CI: 1.30&#x2013;2.76; <italic>p</italic> &#x3d; 0.001). Conversely, regional nerve block demonstrated a protective effect against prolonged PACU recovery time (OR: 0.76, 95% CI: 0.58&#x2013;0.98; <italic>p</italic> &#x3d; 0.035).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Univariate and multivariate logistic regression analyses for PACU recovery time in the total study cohort.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Variable</th>
<th colspan="2" align="center">Univariate logistic regression analysis</th>
<th colspan="2" align="center">Multivariate logistic regression analysis</th>
</tr>
<tr>
<th align="center">Odds ratio [95% CI<xref ref-type="table-fn" rid="Tfn5">
<sup>a</sup>
</xref>]</th>
<th align="center">
<italic>p</italic>-value</th>
<th align="center">Odds ratio [95% CI<xref ref-type="table-fn" rid="Tfn5">
<sup>a</sup>
</xref>]</th>
<th align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">Dexmedetomidine</td>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;NO-DEX</td>
<td align="left">Reference</td>
<td align="left"/>
<td align="left">Reference</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;DEX</td>
<td align="left">1.68 [1.31&#x2013;2.16]</td>
<td align="center">&#x3c;0.001</td>
<td align="left">1.73 [1.34, 2.23]</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">Age (years)</td>
<td align="left">1.03 [1.01&#x2013;1.04]</td>
<td align="center">&#x3c;0.001</td>
<td align="left">1.02 [1.01, 1.04]</td>
<td align="center">0.005</td>
</tr>
<tr>
<td align="left">Sex (male)</td>
<td align="left">0.81 [0.63&#x2013;1.03]</td>
<td align="center">0.081</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">BMI<xref ref-type="table-fn" rid="Tfn5">
<sup>a</sup>
</xref> (kg/m<sup>2</sup>)</td>
<td align="left">1.01 [0.97&#x2013;1.05]</td>
<td align="center">0.719</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Smoking</td>
<td align="left">1.54 [1.21&#x2013;1.96]</td>
<td align="center">&#x3c;0.001</td>
<td align="left">1.52 [1.19, 1.96]</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="left">Drinking</td>
<td align="left">0.91 [0.70&#x2013;1.19]</td>
<td align="center">0.503</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">Comorbidities at admission</td>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;Hypertension</td>
<td align="left">0.96 [0.71&#x2013;1.28]</td>
<td align="center">0.770</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;Diabetes</td>
<td align="left">0.96 [0.64&#x2013;1.45]</td>
<td align="center">0.852</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;Cardiovascular disease</td>
<td align="left">1.60 [1.13&#x2013;2.26]</td>
<td align="center">0.008</td>
<td align="left">1.56 [1.07, 2.23]</td>
<td align="center">0.018</td>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;Cerebrovascular diseases</td>
<td align="left">0.95 [0.63&#x2013;1.43]</td>
<td align="center">0.810</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;Respiratory diseases</td>
<td align="left">1.01 [0.60&#x2013;1.70]</td>
<td align="center">0.974</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">ASA<xref ref-type="table-fn" rid="Tfn5">
<sup>a</sup>
</xref> grading</td>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;&#x2160;</td>
<td align="left">Reference</td>
<td align="left"/>
<td align="left">Reference</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;&#x2161;</td>
<td align="left">1.14 [0.85&#x2013;1.53]</td>
<td align="center">0.375</td>
<td align="left">1.05 [0.78, 1.42]</td>
<td align="center">0.751</td>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;&#x2162;</td>
<td align="left">2.19 [1.52&#x2013;3.14]</td>
<td align="center">&#x3c;0.001</td>
<td align="left">1.90 [1.30, 2.76]</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="left">Duration of anesthesia (hour)</td>
<td align="left">1.01 [0.89&#x2013;1.15]</td>
<td align="center">0.857</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Duration of one-lung ventilation (hour)</td>
<td align="left">0.90 [0.78&#x2013;1.05]</td>
<td align="center">0.182</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">Anesthesia method</td>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;INHA<xref ref-type="table-fn" rid="Tfn5">
<sup>a</sup>
</xref>
</td>
<td align="left">Reference</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;TIVA<xref ref-type="table-fn" rid="Tfn5">
<sup>a</sup>
</xref>
</td>
<td align="left">1.07 [0.83&#x2013;1.37]</td>
<td align="center">0.602</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Regional blocks</td>
<td align="left">0.77 [0.06&#x2013;0.99]</td>
<td align="center">0.043</td>
<td align="left">0.76 [0.58, 0.98]</td>
<td align="center">0.035</td>
</tr>
<tr>
<td align="left">Morphine equivalent</td>
<td align="left">1.00 [0.99&#x2013;1.00]</td>
<td align="center">0.072</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Vasoactive drugs</td>
<td align="left">1.19 [0.93&#x2013;1.52]</td>
<td align="center">0.159</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Intraoperative hypoxemia</td>
<td align="left">0.83 [0.27&#x2013;2.55]</td>
<td align="center">0.750</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Perioperative transfusion</td>
<td align="left">1.23 [0.83&#x2013;1.82]</td>
<td align="center">0.312</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Infusion volume (mL)</td>
<td align="left">1.00 [1.00&#x2013;1.00]</td>
<td align="center">0.626</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Urine volume (mL)</td>
<td align="left">1.00 [1.00&#x2013;1.00]</td>
<td align="center">0.854</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Blood loss (mL)</td>
<td align="left">1.00 [1.00&#x2013;1.00]</td>
<td align="center">0.128</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Surgical site (left)</td>
<td align="left">0.94 [0.74&#x2013;1.20]</td>
<td align="center">0.626</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr style="background-color:#CCCCCC">
<td colspan="5" align="left">Type of operation</td>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;Segmental/wedge resection</td>
<td align="left">Reference</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;Lobectomy</td>
<td align="left">0.81 [0.62&#x2013;1.05]</td>
<td align="center">0.113</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#xa0;&#xa0;Pneumonectomy</td>
<td align="left">0.23 [0.03&#x2013;1.78]</td>
<td align="center">0.159</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">VATS<xref ref-type="table-fn" rid="Tfn5">
<sup>a</sup>
</xref>
</td>
<td align="left">1.20 [0.88&#x2013;1.63]</td>
<td align="center">0.246</td>
<td align="left"/>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data are presented as the odds ratio [95% CI].</p>
</fn>
<fn id="Tfn5">
<label>
<sup>a</sup>
</label>
<p>ASA, American Society of Anesthesiologists; BMI, body mass index; CI, confidence interval; INHA, inhalational anesthesia; TIVA, total intravenous anesthesia; VATS: video-assisted thoracic surgery.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Based on the multivariate logistic regression analysis in the total study cohort, we developed a nomogram to delineate the contribution of risk factors to delayed recovery (<xref ref-type="fig" rid="F4">Figure 4</xref>). This nomogram visually quantified each variable&#x2019;s weight in the predictive model and estimated the probability of delayed recovery in the PACU. The results demonstrated that advanced age and ASA physical status III carried the highest point scores, contributing substantially to the increased likelihood of prolonged recovery. For patients presenting all risk factors, the predicted probability of delayed recovery in the PACU after surgery approached 70%.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Nomogram for prediction of delayed recovery. Delayed risk means an incidence of delayed recovery after general anesthesia.</p>
</caption>
<graphic xlink:href="fphar-16-1649139-g004.tif">
<alt-text content-type="machine-generated">Nomogram for delayed risk assessment includes axes for Dexmedetomidine usage, age, smoking status, cardiovascular disease, ASA grading, and regional blocks. Points are assigned for each factor, summed under &#x22;Total Points,&#x22; and correlated with &#x22;Delayed risk&#x22; probabilities at the bottom.</alt-text>
</graphic>
</fig>
<p>The nomogram model predicting delayed PACU recovery exhibited moderate discrimination (AUC &#x3d; 0.638, 95% CI: 0.605&#x2013;0.671) (<xref ref-type="fig" rid="F5">Figure 5A</xref>), although the calibration curve showed good agreement between predicted and observed outcomes (<xref ref-type="fig" rid="F5">Figure 5B</xref>), and DCA demonstrated favorable clinical utility of the model (<xref ref-type="fig" rid="F5">Figure 5C</xref>).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Performance of the nomogram. <bold>(A)</bold> ROC curve of the logistic regression model in the nomogram. <bold>(B)</bold> Calibration curve of the logistic regression model in the nomogram. <bold>(C)</bold> DCA of the logistic regression model in the nomogram.</p>
</caption>
<graphic xlink:href="fphar-16-1649139-g005.tif">
<alt-text content-type="machine-generated">Panel A shows a ROC curve for model sensitivity versus 1-specificity, with AUC of 0.638. Panel B displays a calibration plot comparing observed and predicted probabilities, including metrics like H-L test, MAE, calibration slope, and Brier score. Panel C presents a decision curve analysis showing standardized net benefit against the high-risk threshold, comparing nomogram, all, and none strategies.</alt-text>
</graphic>
</fig>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>To the best of our knowledge, this investigation constituted the most extensive retrospective cohort analysis evaluating the relationship between intraoperative dexmedetomidine use and delayed recovery in the PACU following lung resection. The incidence of PACU recovery time exceeding 60&#xa0;min was 25.48%. Intraoperative dexmedetomidine administration was associated with prolonged PACU recovery time. Sensitivity analyses under varying assumptions confirmed the robustness of our primary results. Independent risk factors for delayed recovery in the PACU included intraoperative dexmedetomidine use, advanced age, smoking, cardiovascular disease, and ASA physical status III, whereas regional nerve block was associated with reduced risk. The predictive nomogram demonstrated moderate discrimination and estimated a 70% probability of delayed PACU recovery in patients presenting with all identified risk factors.</p>
<p>Lung resection is the primary treatment for pulmonary diseases. However, noxious stimuli during general anesthesia, including endotracheal intubation, one-lung ventilation, extubation, and surgical tissue injury, can induce a significant stress response (<xref ref-type="bibr" rid="B35">Zhang B. et al., 2023</xref>; <xref ref-type="bibr" rid="B8">Gao et al., 2024</xref>). This leads to elevated concentrations of catecholamines, such as norepinephrine and epinephrine, in the blood, inducing hemodynamic fluctuations that eventually result in serious complications (<xref ref-type="bibr" rid="B25">Silpa et al., 2020</xref>; <xref ref-type="bibr" rid="B20">Miyazaki et al., 2022</xref>), including prolonged PACU recovery time (<xref ref-type="bibr" rid="B7">Gabriel et al., 2017</xref>; <xref ref-type="bibr" rid="B36">Zhang Q. et al., 2023</xref>). A large and retrospective cohort study found that among 38,796 patients undergoing general anesthesia, the average PACU recovery time was approximately 60&#xa0;min (<xref ref-type="bibr" rid="B36">Zhang Q. et al., 2023</xref>). In addition, in another study, <xref ref-type="bibr" rid="B5">Feng et al. (2024)</xref> found that the average PACU recovery time after general anesthesia for patients undergoing thoracoscopic lung resection was approximately 51&#xa0;min. In our study, the median PACU recovery time following lung resection under general anesthesia was approximately 50&#xa0;min, with 25.48% of patients experiencing PACU recovery times exceeding 60&#xa0;min, consistent with previous reports. Therefore, we need to identify the risk factors for delayed recovery in the PACU and improve its operational efficiency and medical cost savings.</p>
<p>Perioperative factors, such as preoperative comorbidities, ASA grade, age, anesthesia duration, intraoperative medication, type of surgery, and postoperative analgesia, may create a potentially adverse environment, leading to impaired wakefulness and recovery from general anesthesia, thereby prolonging the recovery time in the PACU (<xref ref-type="bibr" rid="B36">Zhang Q. et al., 2023</xref>). This adverse environment may be further aggravated by the use of anesthesia-related drugs that themselves have potential direct effects and indirect modulating effects on wakefulness and recovery under general anesthesia. Dexmedetomidine is a potent and highly selective &#x3b1;<sub>2</sub>-adrenoreceptor agonist. A number of prior studies demonstrated that dexmedetomidine, within an appropriate dose range, can effectively attenuate intraoperative stress response and postoperative pain, maintain perioperative hemodynamic stability, and decrease the incidence of adverse events, including emergence agitation, pain, opioid requirements, and nausea (<xref ref-type="bibr" rid="B32">Wu et al., 2023</xref>; <xref ref-type="bibr" rid="B6">Fu et al., 2024</xref>; <xref ref-type="bibr" rid="B37">Zheng et al., 2024</xref>; <xref ref-type="bibr" rid="B38">Zhu et al., 2024</xref>). In our study cohort, dexmedetomidine administration was also primarily indicated for perioperative sedation and anxiolysis to minimize other sedative medication usage. However, recent reports have suggested that these advantages are realized without delaying recovery (<xref ref-type="bibr" rid="B26">Sin et al., 2022</xref>). Other studies also indicate that dexmedetomidine prolonged early recovery in patients under general anesthesia (<xref ref-type="bibr" rid="B1">Adler et al., 2021</xref>; <xref ref-type="bibr" rid="B13">Huang et al., 2023</xref>). Our findings support this observation as patients in the DEX group demonstrated a 1.60-fold increased risk of delayed recovery in the PACU compared to those in the NO-DEX group. Moreover, we identified a significant relationship between dexmedetomidine doses and prolonged PACU recovery time, consistent with previous reports (<xref ref-type="bibr" rid="B16">Ma et al., 2021</xref>; <xref ref-type="bibr" rid="B31">West et al., 2021</xref>). This effect may be attributed to dexmedetomidine&#x2019;s pharmacokinetic properties, particularly its elimination half-life of approximately 2&#x2013;3&#xa0;h and its potent sedative effects mediated through &#x3b1;<sub>2</sub>-adrenergic receptor agonism in the locus coeruleus.</p>
<p>This finding appears to contradict the established benefits of dexmedetomidine in promoting postoperative enhanced recovery. There are several possible explanations. First, most patients in our study received dexmedetomidine as a continuous intraoperative infusion rather than preoperative administration. Combined with dexmedetomidine&#x2019;s longer half-life, this may have contributed to delayed PACU recovery. Second, dexmedetomidine has demonstrated a dose-dependent association with delayed PACU recovery (<xref ref-type="bibr" rid="B31">West et al., 2021</xref>). The relatively prolonged duration of lung resection resulted in an increased cumulative dexmedetomidine exposure, potentially contributing to delayed PACU recovery time. Third, our study did not maintain consistent anesthetic depth across patients as anesthesia was not titrated based on processed electroencephalogram monitoring. Consequently, patients receiving dexmedetomidine may not have received proportionally reduced doses of opioids and other sedatives, potentially contributing to oversedation and prolonged PACU recovery times. These findings warrant consideration by practitioners, who should recognize the potential for delayed recovery when weighing dexmedetomidine&#x2019;s benefits. When incorporating dexmedetomidine as part of the anesthetic regimen, the dose of other central nervous system drugs should be reduced to prevent oversedation. Alternative agents (such as midazolam or remimazolam) may be considered substitutes for dexmedetomidine.</p>
<p>Prior research demonstrated that old age and ASA III lead to delayed recovery in the PACU (<xref ref-type="bibr" rid="B36">Zhang Q. et al., 2023</xref>), which was consistent with our findings. <xref ref-type="bibr" rid="B29">Tzabazis et al. (2015)</xref> further indicated that advanced age constituted a risk factor for delayed recovery. At first, delirium is arguably one of the most important postoperative complications because it is common, affecting up to 70% of patients older than 60 years undergoing major inpatient surgeries, and it is associated with adverse outcomes, including mortality, persistent cognitive decline, and delayed recovery from general anesthesia (<xref ref-type="bibr" rid="B19">Mashour et al., 2015</xref>; <xref ref-type="bibr" rid="B11">Horvath et al., 2021</xref>). Furthermore, slightly deeper anesthesia in vulnerable elderly patients with degenerative organ changes may increase the risk of postoperative delirium. Ultimately, the vulnerability of older patients and their susceptibility to postoperative delirium predispose them to delayed recovery in the PACU.</p>
<p>In addition, the severity of coexisting disease and the functional status of the patient are vital parameters for ASA grading before surgery (<xref ref-type="bibr" rid="B11">Horvath et al., 2021</xref>). The ASA grade was found to strongly correlate with outcomes and contribute to the assessment of risk and outcomes, at least with aggregate data (<xref ref-type="bibr" rid="B15">Kraev et al., 2018</xref>; <xref ref-type="bibr" rid="B21">Peters et al., 2020</xref>). Patients with an ASA grade of III have poor physical and organ function status, increasing their susceptibility to perioperative adverse events, resulting in delayed recovery from general anesthesia (<xref ref-type="bibr" rid="B36">Zhang Q. et al., 2023</xref>). Finally, the poor overall physical condition of the patients interferes with the metabolism and elimination of anesthetics in the body, and the resulting accumulation exceeding elimination rates may be a reason for delayed recovery. Similarly, we found that smoking and cardiovascular disease were associated with delayed recovery, which might be derived from their damage to the patient&#x2019;s physical condition. Interestingly, we found that regional nerve block demonstrated a protective effect against delayed recovery, which may be attributed to its superior pain control and reduced opioid consumption.</p>
<p>This study had some limitations. First, this was a single-center retrospective observational study, with some limitations that cannot completely exclude residual confounding, despite propensity score matching being performed to reduce the potential confounding effect of each variable. Second, the retrospective design of this study limited our ability to obtain detailed information on the duration of continuous dexmedetomidine infusion, the timing of drug cessation relative to surgical completion, and the specific etiologies of delayed patient recovery, thereby restricting further causal analysis. Third, we must also admit that there was potential expectation bias among nursing staff in the PACU based on whether the patients had received dexmedetomidine during surgery: they may delay efforts to wake the patient in anticipation of a longer recovery. In addition, in patients receiving dexmedetomidine, there is a tendency to have the eyes closed even when the patients are awake. If nurses are unfamiliar with this effect of dexmedetomidine, it may lead to delayed discharge from the PACU. In each case included in the study, full compliance with the discharge criteria from the PACU was not confirmed, but we expect to follow the institutional guidelines described. In the future, all these factors need to be addressed in the large-sample and prospective cohort studies.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>In conclusion, this study demonstrated an association between intraoperative dexmedetomidine use and prolonged PACU recovery time following lung resection. The observed recovery delays may be of minor clinical significance, but their cumulative effect may create additional pressure on busy recovery rooms in hospitals with tightly regulated procedures. In addition, independent risk factors for delayed recovery in PACU included intraoperative dexmedetomidine use, advanced age, smoking, cardiovascular disease, and ASA physical status III, whereas regional nerve block was associated with reduced risk. Well-designed, prospective multicenter studies with large sample sizes and standardized dosing protocols are warranted to definitively establish the association between anesthesia-related medications such as dexmedetomidine and delayed recovery in the PACU.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Ethics Committee of Panzhihua Central Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>ZG: Conceptualization, Formal Analysis, Funding acquisition, Methodology, Writing &#x2013; original draft, Writing &#x2013; review and editing. YJ: Conceptualization, Data curation, Investigation, Software, Writing &#x2013; original draft. YL: Methodology, Project administration, Software, Supervision, Writing &#x2013; review and editing. CY: Resources, Supervision, Validation, Visualization, Writing &#x2013; review and editing. BZ: Funding acquisition, Investigation, Project administration, Resources, Writing &#x2013; review and editing. ML: Data curation, Formal Analysis, Investigation, Software, Writing &#x2013; original draft, Writing &#x2013; review and editing.</p>
</sec>
<ack>
<title>Acknowledgements</title>
<p>The authors appreciate all assistance and support provided by colleagues not listed here and their respective institutions.</p>
</ack>
<sec sec-type="COI-statement" id="s10">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="s11">
<title>Generative AI statement</title>
<p>The authors declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="s12">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<fn-group>
<fn fn-type="custom" custom-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1955547/overview">Kuo-Chuan Hung</ext-link>, Chi Mei Medical Center, Taiwan</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1823098/overview">Christian Bohringer</ext-link>, UC Davis Medical Center, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3257743/overview">Carmelina Gurrieri</ext-link>, Mayo Clinic Arizona, United States</p>
</fn>
</fn-group>
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