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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title-group>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2026.1774115</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>German nationwide inpatient data on the post-COVID-19 syndrome: an update</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Walter</surname> <given-names>Nike</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1117097"/>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
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</contrib>
<contrib contrib-type="author"><name><surname>Rupp</surname> <given-names>Markus</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
</contrib>
<contrib contrib-type="author"><name><surname>Hinterberger</surname> <given-names>Thilo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/95416"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="validation" vocab-term-identifier="https://credit.niso.org/contributor-roles/validation/">Validation</role>
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</contrib>
<contrib contrib-type="author"><name><surname>Loew</surname> <given-names>Thomas H.</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2298268"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
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</contrib>
<contrib contrib-type="author"><name><surname>Rittmann</surname> <given-names>Ines</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
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</contrib>
</contrib-group>
<aff id="aff1"><label>1</label><institution>Department for Psychosomatic Medicine, University Hospital Regensburg</institution>, <city>Regensburg</city>, <country country="de">Germany</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Trauma, Hand, and Reconstructive Surgery, University Hospital Giessen</institution>, <city>Giessen</city>, <country country="de">Germany</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Nike Walter, <email xlink:href="mailto:ines.rittmann@ukr.de">nike.walter@ukr.de</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-17">
<day>17</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>14</volume>
<elocation-id>1774115</elocation-id>
<history>
<date date-type="received">
<day>23</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>30</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Walter, Rupp, Hinterberger, Loew and Rittmann.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Walter, Rupp, Hinterberger, Loew and Rittmann</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-17">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>Post-COVID syndrome (PCS) continues to pose a serious public health issue, with persistent symptoms requiring ongoing medical care after the acute phase of infection. Despite its clinical significance, data on its burden on hospital systems and healthcare costs have been limited. This study updates the national analysis of PCS-related hospitalizations in Germany for the year 2023, focusing on patient demographics, primary diagnoses, procedures, and inpatient costs.</p>
</sec>
<sec>
<title>Methods</title>
<p>Using nationwide data from the Institute for the Hospital Remuneration System (InEK) and the German Diagnosis-Related Groups (G-DRG), the study identified patients with PCS via the diagnosis code &#x201C;U09.9!&#x201D; as a secondary diagnosis. Parameters included age, sex, diagnoses, procedures, length of stay (LOS), and direct cost estimates. Incidence rates were calculated using official population data.</p>
</sec>
<sec>
<title>Results</title>
<p>There were 17,209 PCS-related hospital admissions, translating to 48.9 cases per 100,000 people. Women represented 60% of cases, with peak prevalence in the 55&#x2013;60 age group. Common diagnoses were chronic fatigue, dyspnea, and general malaise; procedures mainly involved respiratory and neurological evaluations. Only 4% required care dependency assessments. The average LOS was 8.3&#x202F;days (SD 11.6&#x202F;days). LOS showed a right-skewed distribution. The median LOS was 7.1&#x202F;days [interquartile range (IQR): 3.9&#x2013;7.9&#x202F;days]. Total inpatient costs reached &#x20AC;67.9 million. Compared to early-pandemic data, the number of PCS-related hospitalizations decreased substantially in 2023, while diagnostic complexity and inpatient resource utilization remained high.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>PCS continues to challenge healthcare systems, underlining the need for ongoing research, policy adjustments, and resource planning.</p>
</sec>
</abstract>
<kwd-group>
<kwd>epidemiology</kwd>
<kwd>healthcare costs</kwd>
<kwd>inpatient care</kwd>
<kwd>post-COVID syndrome</kwd>
<kwd>treatment procedures</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="2"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="27"/>
<page-count count="7"/>
<word-count count="4680"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Infectious Diseases: Epidemiology and Prevention</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<title>Introduction</title>
<p>The COVID-19 pandemic has had a profound and enduring impact on global health, with both its acute and long-term effects shaping healthcare priorities worldwide. Among these, the persistence of symptoms following the resolution of acute SARS-CoV-2 infection, commonly referred to as Post-COVID Syndrome (PCS) has emerged as a major public health concern. PCS is characterized by a heterogeneous constellation of symptoms, ranging from persistent fatigue, pain, dyspnea, and cognitive dysfunction to more severe manifestations, including cardiovascular, neurological, and pulmonary complications (<xref ref-type="bibr" rid="ref1 ref2 ref3">1&#x2013;3</xref>). Since the emergence of PCS as a recognized condition (<xref ref-type="bibr" rid="ref4">4</xref>), substantial efforts have been made to quantify its prevalence, characterize its symptoms, and understand its clinical trajectory and treatment approaches (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref6">6</xref>).</p>
<p>At least 65 million individuals globally have been estimated to be affected by long COVID, based on an assumption that 10% of the more than 651 million documented COVID-19 cases worldwide have developed the condition (<xref ref-type="bibr" rid="ref7">7</xref>). A pooled global prevalence of 0.43 was reported by a recent meta-analysis (<xref ref-type="bibr" rid="ref8">8</xref>). In 2021, we published a comprehensive analysis of PCS based on nationwide German inpatient data, highlighting the condition&#x2019;s prevalence, symptomatology, and economic impact during the early phases of the pandemic (<xref ref-type="bibr" rid="ref9">9</xref>).</p>
<p>This study updates nationwide inpatient PCS data using 2023 records. Our objectives are to first reassess the prevalence and demographic distribution of PCS, second identify associated comorbidities, treatment modalities and third evaluate its ongoing economic healthcare burden. This updated analysis seeks to inform stakeholders, guiding healthcare policies, resource allocation, and the development of targeted management strategies.</p>
</sec>
<sec sec-type="methods" id="sec2">
<title>Methods</title>
<p>This cross-sectional study utilized hospital data obtained from the Institute for the Hospital Remuneration System (InEK GmbH), which oversees Germany&#x2019;s performance-based hospital reimbursement system. This system, established under Section 17b of the German Hospital Financing Act (KHG), is based on the German Diagnosis-Related Groups (G-DRG) system, where inpatient cases are assigned a fixed reimbursement amount depending on their diagnosis and treatment.</p>
<p>Data were accessed via the InEK Data Browser (available at: <ext-link xlink:href="https://datenbrowser.inek.org/login" ext-link-type="uri">https://datenbrowser.inek.org/login</ext-link>), focusing on annual ICD-10 diagnosis codes for the year 2023. Specifically, the number of patients diagnosed with &#x201C;U09.9! post-COVID-19 condition&#x201D; as a secondary diagnosis was identified. Each record represents a single inpatient hospital admission. Due to the aggregated and anonymized nature of the InEK dataset, repeated hospitalizations of the same individual could not be identified and therefore cannot be excluded.</p>
<p>For the analysis, several parameters were extracted. Demographic data included the number of cases stratified by age group and sex. The most frequently documented primary diagnoses associated with post-COVID-19 condition were identified using ICD-10-GM codes. Incidence rates were calculated based on population data provided by the Federal Statistical Office of Germany (Destatis) (<ext-link xlink:href="https://www-genesis.destatis.de/" ext-link-type="uri">https://www-genesis.destatis.de/</ext-link>, Accessed Nov 24, 2024). Here, the number of inhabitants in each of the 16 German federal states was considered by year of birth. To assess medical procedures, commonly performed Operation and Procedures Keys (OPS)-coded interventions such as diagnostic tests, imaging, and therapeutic treatments were analyzed. Additionally, length of stay (LOS) data were examined. A cost analysis was performed calculating mean reimbursement per case based on distribution across different DRG categories. The cost analysis was conducted from the perspective of the statutory hospital reimbursement system. Reported costs represent DRG-based reimbursement amounts and reflect direct inpatient hospital costs, including diagnostic procedures, therapeutic interventions, and hospital stay, but excluding outpatient care, rehabilitation, and indirect costs. All costs are reported in euros (&#x20AC;) and are based on the official German Diagnosis-Related Groups (G-DRG) tariff catalogue for the year 2023. In the German DRG system, inpatient cases are reimbursed using a flat-rate payment model, whereby each hospital admission is assigned to a specific DRG based on the primary diagnosis, secondary diagnoses, procedures performed, patient age, and length of stay. Secondary diagnoses, such as post-COVID-19 condition (ICD-10-GM code U09.9!), may influence case severity classification, complexity levels, and reimbursement amounts, particularly when associated with increased diagnostic or therapeutic resource utilization. Median values and dispersion measures were derived from DRG-level mean values weighted by the number of cases per DRG, as patient-level length-of-stay and reimbursement distributions are not available in the InEK Data Browser. Accordingly, the reported reimbursement amounts should be interpreted as standardized proxies for inpatient resource use rather than as exact hospital-level or societal costs.</p>
<sec id="sec3">
<title>Results</title>
<p>In 2023, 17,209 inpatient cases were recorded with a PCS diagnosis, corresponding to an incidence of 48.9 per 100,000 inhabitants (<xref ref-type="fig" rid="fig1">Figure 1</xref>). Among them, 6,856 (40%) were male and 10,353 (60%) were female, with the highest prevalence observed in the 55&#x2013;60 age group (<xref ref-type="fig" rid="fig2">Figure 2</xref>). The mean length of stay (LOS) for hospitalized PCS patients was 8.3&#x202F;days, with a standard deviation of 11.6&#x202F;days. LOS showed a right-skewed distribution. The median LOS was 7.1&#x202F;days [interquartile range (IQR): 3.9&#x2013;7.9&#x202F;days].</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Incidence of PCS inpatient cases per 100,000 inhabitants, standardized by age and sex. The blue line represents male patients, the red line represents female patients, and both genders are depicted in green.</p>
</caption>
<graphic xlink:href="fpubh-14-1774115-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Line graph showing incidence per one hundred thousand on the y-axis and age groups from twenty to ninety-plus years on the x-axis. Three lines display a gradual increase in incidence with age, with all peaking in the oldest age groups. The green line consistently has the highest incidence, followed by the red and blue lines.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Number of cases in 5-year increments. Male patients are illustrated in black, female cases are shown in grey.</p>
</caption>
<graphic xlink:href="fpubh-14-1774115-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Stacked bar chart showing the number of cases by age groups in five-year intervals from twenty to ninety plus years. Cases peak at age group fifty-six to sixty, then gradually decline in older age groups.</alt-text>
</graphic>
</fig>
<p>A total of 1,945 distinct primary diagnoses were associated with PCS. The most frequently documented conditions included chronic fatigue syndrome, dyspnea, malaise, and fatigue, alongside other common diagnoses such as fibromyalgia, chronic pain disorders, pneumonia, and dizziness (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Twenty most frequent primary diagnoses in PCS patients.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Code</th>
<th align="left" valign="top">Primary diagnosis</th>
<th align="center" valign="top">Cases</th>
<th align="center" valign="top">Percentage</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">G93.3</td>
<td align="left" valign="top">Chronic fatigue syndrome</td>
<td align="center" valign="top">2,277</td>
<td align="center" valign="top">13.23%</td>
</tr>
<tr>
<td align="left" valign="top">R06.0</td>
<td align="left" valign="top">Dyspnea</td>
<td align="center" valign="top">814</td>
<td align="center" valign="top">4.73%</td>
</tr>
<tr>
<td align="left" valign="top">R53</td>
<td align="left" valign="top">Malaise and fatigue</td>
<td align="center" valign="top">783</td>
<td align="center" valign="top">4.55%</td>
</tr>
<tr>
<td align="left" valign="top">R26.8</td>
<td align="left" valign="top">Other and unspecified gait and mobility disorders</td>
<td align="center" valign="top">319</td>
<td align="center" valign="top">1.85%</td>
</tr>
<tr>
<td align="left" valign="top">F45.41</td>
<td align="left" valign="top">Chronic pain disorder with somatic and psychological factors</td>
<td align="center" valign="top">286</td>
<td align="center" valign="top">1.66%</td>
</tr>
<tr>
<td align="left" valign="top">M79.70</td>
<td align="left" valign="top">Fibromyalgia: multiple localizations</td>
<td align="center" valign="top">211</td>
<td align="center" valign="top">1.23%</td>
</tr>
<tr>
<td align="left" valign="top">F48.0</td>
<td align="left" valign="top">Neurasthenia</td>
<td align="center" valign="top">188</td>
<td align="center" valign="top">1.09%</td>
</tr>
<tr>
<td align="left" valign="top">J12.8</td>
<td align="left" valign="top">Pneumonia due to other viruses</td>
<td align="center" valign="top">174</td>
<td align="center" valign="top">1.01%</td>
</tr>
<tr>
<td align="left" valign="top">E86</td>
<td align="left" valign="top">Volume depletion</td>
<td align="center" valign="top">157</td>
<td align="center" valign="top">0.91%</td>
</tr>
<tr>
<td align="left" valign="top">G62.80</td>
<td align="left" valign="top">Critical-illness polyneuropathy</td>
<td align="center" valign="top">141</td>
<td align="center" valign="top">0.82%</td>
</tr>
<tr>
<td align="left" valign="top">J84.10</td>
<td align="left" valign="top">Other interstitial lung diseases with fibrosis (without acute exacerbation)</td>
<td align="center" valign="top">133</td>
<td align="center" valign="top">0.77%</td>
</tr>
<tr>
<td align="left" valign="top">R42</td>
<td align="left" valign="top">Dizziness and giddiness</td>
<td align="center" valign="top">129</td>
<td align="center" valign="top">0.75%</td>
</tr>
<tr>
<td align="left" valign="top">J96.00</td>
<td align="left" valign="top">Acute respiratory insufficiency, unspecified elsewhere: type I (hypoxic)</td>
<td align="center" valign="top">123</td>
<td align="center" valign="top">0.71%</td>
</tr>
<tr>
<td align="left" valign="top">R51</td>
<td align="left" valign="top">Headache</td>
<td align="center" valign="top">123</td>
<td align="center" valign="top">0.71%</td>
</tr>
<tr>
<td align="left" valign="top">J18.9</td>
<td align="left" valign="top">Pneumonia, unspecified</td>
<td align="center" valign="top">117</td>
<td align="center" valign="top">0.68%</td>
</tr>
<tr>
<td align="left" valign="top">I50.01</td>
<td align="left" valign="top">Secondary right heart failure</td>
<td align="center" valign="top">115</td>
<td align="center" valign="top">0.67%</td>
</tr>
<tr>
<td align="left" valign="top">F06.7</td>
<td align="left" valign="top">Mild cognitive disorder</td>
<td align="center" valign="top">112</td>
<td align="center" valign="top">0.65%</td>
</tr>
<tr>
<td align="left" valign="top">I50.13</td>
<td align="left" valign="top">Left heart failure: symptoms with mild exertion</td>
<td align="center" valign="top">110</td>
<td align="center" valign="top">0.64%</td>
</tr>
<tr>
<td align="left" valign="top">G47.31</td>
<td align="left" valign="top">Obstructive sleep apnea syndrome</td>
<td align="center" valign="top">108</td>
<td align="center" valign="top">0.63%</td>
</tr>
<tr>
<td align="left" valign="top">I26.9</td>
<td align="left" valign="top">Pulmonary embolism without acute cor pulmonale</td>
<td align="center" valign="top">107</td>
<td align="center" valign="top">0.62%</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The most commonly performed procedures involved respiratory diagnostics, such as whole-body plethysmography, thoracic CT with contrast, and computer-assisted 3D image analysis. Additional frequent procedures included CO diffusion capacity testing, cranial imaging, and care dependency assessments. Neurological evaluations, including electroencephalography (EEG) and neurography, were also frequently documented, alongside therapeutic interventions such as geriatric rehabilitation and tracheobronchoscopy (<xref ref-type="table" rid="tab2">Table 2</xref>). This indicates that while PCS frequently leads to hospitalization, severe functional dependency affects a smaller subset of patients.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Twenty most commonly performed medical procedures in PCS patients.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Code</th>
<th align="left" valign="top">Procedure</th>
<th align="center" valign="top">Cases</th>
<th align="center" valign="top">Percentage</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">1&#x2013;710</td>
<td align="left" valign="top">Whole-body plethysmography</td>
<td align="center" valign="top">2,543</td>
<td align="center" valign="top">14.78%</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2013;222</td>
<td align="left" valign="top">Thoracic CT with contrast</td>
<td align="center" valign="top">1851</td>
<td align="center" valign="top">10.76%</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2013;990</td>
<td align="left" valign="top">Computer-assisted image data analysis with 3D evaluation</td>
<td align="center" valign="top">1761</td>
<td align="center" valign="top">10.23%</td>
</tr>
<tr>
<td align="left" valign="top">1&#x2013;711</td>
<td align="left" valign="top">Determination of CO diffusion capacity</td>
<td align="center" valign="top">1,587</td>
<td align="center" valign="top">9.22%</td>
</tr>
<tr>
<td align="left" valign="top">9&#x2013;984.7</td>
<td align="left" valign="top">Need for care: care level 2</td>
<td align="center" valign="top">1,508</td>
<td align="center" valign="top">8.76%</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2013;200</td>
<td align="left" valign="top">Native cranial CT</td>
<td align="center" valign="top">1,276</td>
<td align="center" valign="top">7.41%</td>
</tr>
<tr>
<td align="left" valign="top">8&#x2013;930</td>
<td align="left" valign="top">Monitoring of respiration, heart, and circulation without pulmonary arterial or central venous pressure measurement</td>
<td align="center" valign="top">1,270</td>
<td align="center" valign="top">7.38%</td>
</tr>
<tr>
<td align="left" valign="top">1&#x2013;204.2</td>
<td align="left" valign="top">Examination of the cerebrospinal fluid system: lumbar puncture for CSF extraction</td>
<td align="center" valign="top">1,189</td>
<td align="center" valign="top">6.91%</td>
</tr>
<tr>
<td align="left" valign="top">9&#x2013;984.8</td>
<td align="left" valign="top">Need for care: care level 3</td>
<td align="center" valign="top">1,189</td>
<td align="center" valign="top">6.91%</td>
</tr>
<tr>
<td align="left" valign="top">8&#x2013;975.23</td>
<td align="left" valign="top">Naturopathic complex treatment: 14&#x2013;20 treatment days and &#x003C;2,520 treatment min. or 10&#x2013;13&#x202F;days and &#x2265;1,680&#x202F;min.</td>
<td align="center" valign="top">1,117</td>
<td align="center" valign="top">6.49%</td>
</tr>
<tr>
<td align="left" valign="top">1&#x2013;632.0</td>
<td align="left" valign="top">Diagnostic esophagogastroduodenoscopy: normal findings</td>
<td align="center" valign="top">1,027</td>
<td align="center" valign="top">5.97%</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2013;800</td>
<td align="left" valign="top">Native MRI of the skull</td>
<td align="center" valign="top">1,020</td>
<td align="center" valign="top">5.93%</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2013;202</td>
<td align="left" valign="top">Native thoracic CT</td>
<td align="center" valign="top">983</td>
<td align="center" valign="top">5.71%</td>
</tr>
<tr>
<td align="left" valign="top">1&#x2013;207.0</td>
<td align="left" valign="top">Electroencephalography (EEG): routine EEG (10&#x2013;20 system)</td>
<td align="center" valign="top">961</td>
<td align="center" valign="top">5.58%</td>
</tr>
<tr>
<td align="left" valign="top">1&#x2013;206</td>
<td align="left" valign="top">Neurography</td>
<td align="center" valign="top">897</td>
<td align="center" valign="top">5.21%</td>
</tr>
<tr>
<td align="left" valign="top">8&#x2013;550.1</td>
<td align="left" valign="top">Geriatric early rehabilitative complex treatment: &#x2265;14 treatment days and &#x2265;20 therapy sessions</td>
<td align="center" valign="top">893</td>
<td align="center" valign="top">5.19%</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2013;225</td>
<td align="left" valign="top">Abdominal CT with contrast</td>
<td align="center" valign="top">812</td>
<td align="center" valign="top">4.72%</td>
</tr>
<tr>
<td align="left" valign="top">9-984.b</td>
<td align="left" valign="top">Need for care: application for care level classification</td>
<td align="center" valign="top">736</td>
<td align="center" valign="top">4.28%</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2013;820</td>
<td align="left" valign="top">MRI of the skull with contrast</td>
<td align="center" valign="top">705</td>
<td align="center" valign="top">4.10%</td>
</tr>
<tr>
<td align="left" valign="top">1&#x2013;208.2</td>
<td align="left" valign="top">Registration of evoked potentials: somatosensory (SSEP)</td>
<td align="center" valign="top">661</td>
<td align="center" valign="top">3.84%</td>
</tr>
<tr>
<td align="left" valign="top">1&#x2013;620.01</td>
<td align="left" valign="top">Diagnostic tracheobronchoscopy: flexible instrument with bronchoalveolar lavage</td>
<td align="center" valign="top">609</td>
<td align="center" valign="top">3.54%</td>
</tr>
<tr>
<td align="left" valign="top">1&#x2013;620.00</td>
<td align="left" valign="top">Diagnostic tracheobronchoscopy: flexible instrument without further measures</td>
<td align="center" valign="top">543</td>
<td align="center" valign="top">3.16%</td>
</tr>
<tr>
<td align="left" valign="top">9&#x2013;984.6</td>
<td align="left" valign="top">Need for care: care level 1</td>
<td align="center" valign="top">531</td>
<td align="center" valign="top">3.09%</td>
</tr>
<tr>
<td align="left" valign="top">1&#x2013;843</td>
<td align="left" valign="top">Diagnostic aspiration from the bronchus</td>
<td align="center" valign="top">521</td>
<td align="center" valign="top">3.03%</td>
</tr>
<tr>
<td align="left" valign="top">3&#x2013;035</td>
<td align="left" valign="top">Complex differential diagnostic ultrasound of the vascular system with quantitative evaluation</td>
<td align="center" valign="top">475</td>
<td align="center" valign="top">2.76%</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>All distributional measures were derived from DRG-level mean values weighted by the number of cases per DRG, as patient-level distributions are not available in the InEK Data Browser. The most frequently coded G-DRG was Z65Z (Complaints, Symptoms, Other Anomalies, and Follow-up Treatment), accounting for 17.7% of cases (3,039 patients). The mean reimbursement per inpatient case was &#x20AC;3,947.97, with substantial variability across DRG categories (standard deviation: &#x20AC;916.28), reflecting heterogeneity in clinical complexity and resource utilization. Extrapolating these costs to the 17,209 recorded PCS patients, the total direct healthcare costs for PCS treatment were estimated at &#x20AC;67,940,616.</p>
</sec>
</sec>
<sec sec-type="discussion" id="sec4">
<title>Discussion</title>
<p>This cross-sectional study provides an update for the year 2023 on (i) the demographics of hospitalized PCS patients, (ii) the most frequently documented primary diagnoses associated with PCS, (iii) the most commonly performed medical procedures, and (iv) the annual direct healthcare costs related to PCS hospitalizations. A key strength of this analysis is its foundation on nationwide healthcare data from Germany, one of the largest countries in the European Union, ensuring a comprehensive and representative assessment. Compared to earlier phases of the pandemic, the absolute number of hospitalized PCS cases declined (<xref ref-type="bibr" rid="ref9">9</xref>), suggesting evolving disease dynamics and healthcare utilization patterns.</p>
<sec id="sec5">
<title>Hospitalization and demographics</title>
<p>With over 17,000 recorded hospitalizations, PCS remains a clinically relevant condition in Germany. The demographic distribution of hospitalized PCS patients reveals a notable gender imbalance, with women comprising 60% of cases. This aligns with international findings suggesting higher susceptibility to long-term post-viral sequelae among females (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref11">11</xref>). Other studies conducted in different countries report around 53% to be female (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref13">13</xref>). Possible explanations to the greater extent of females developing PCS can be found in the literature pointing towards sex-specific innate and adaptive immune correlates (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref15">15</xref>). The age group most affected was between 55 and 60&#x202F;years, consistent with prior data identifying middle-aged and older adults as high-risk populations for prolonged post-infectious sequelae. Notably, compared to prior data published, the number of hospitalized cases decreased from 29,808 by 43% (<xref ref-type="bibr" rid="ref9">9</xref>).</p>
</sec>
<sec id="sec6">
<title>Comorbidities and symptom spectrum</title>
<p>The clinical presentation of PCS was highly diverse, with a variety of primary diagnoses documented. The most frequent included chronic fatigue syndrome, dyspnea, malaise, fibromyalgia, chronic pain, and neurocognitive symptoms&#x2014;indicating multi-system involvement. These are consistent with existing literature on PCS symptomatology (<xref ref-type="bibr" rid="ref16 ref17 ref18">16&#x2013;18</xref>).</p>
<p>Importantly, these findings reflect not only residual effects of acute COVID-19, but also secondary complications such as autonomic dysfunction, post-exertional malaise, and psychological distress. This constellation of symptoms often co-occurs with pre-existing conditions or is exacerbated by them, highlighting the need for a multidisciplinary treatment approach that integrates pulmonology, neurology, internal medicine, pain management, and psychosomatic care. Rehabilitation strategies and coordinated outpatient follow-up are likely essential to address the persistent functional impairments in this patient population (<xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref20">20</xref>).</p>
</sec>
<sec id="sec7">
<title>Diagnostic procedures and clinical management</title>
<p>The wide range of medical procedures underscores the substantial diagnostic burden PCS imposes on hospitals. This diversity in clinical presentation illustrates the diagnostic complexity of PCS and reinforces the need for comprehensive and systematic clinical evaluation (<xref ref-type="bibr" rid="ref21">21</xref>, <xref ref-type="bibr" rid="ref22">22</xref>).</p>
<p>Respiratory diagnostics such as whole-body plethysmography and CO diffusion testing were frequently used. Extensive application of thoracic CT, MRI, EEG, and lumbar puncture further reflects the multi-organ complexity of PCS. These interventions suggest that clinicians routinely pursue broad differential diagnoses to assess unexplained respiratory, neurological, and systemic complaints. Given the lack of definitive biomarkers or confirmatory tests, PCS remains a diagnosis of exclusion (<xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref24">24</xref>). Thus, future studies should aim to identify specific diagnostic markers or imaging signatures that can support early recognition, stratification, and tailored management of PCS.</p>
<p>Notably, care dependency assessments were documented in a considerable proportion of cases, suggesting that PCS can correlate with a significant loss of function and autonomy in a subset of patients. The need for formal evaluation of care requirements reflects the real-world burden not only on patients but also on families, caregivers, and social support systems&#x2014;a factor that warrants consideration in future healthcare planning and resource allocation (<xref ref-type="bibr" rid="ref25">25</xref>).</p>
</sec>
<sec id="sec8">
<title>Healthcare costs</title>
<p>With nearly &#x20AC;67.9 million direct inpatient costs PCS represents a notable financial strain on the healthcare system. These figures varied widely depending on case complexity and resource intensity. In addition to direct medical costs, PCS is associated with substantial indirect economic consequences, including work absenteeism, reduced productivity, and prolonged disability. Previous estimates place the indirect financial burden in Germany at over &#x20AC;3.4 billion (<xref ref-type="bibr" rid="ref26">26</xref>). These findings underscore the urgent need for healthcare policymakers, insurers, and public health stakeholders to develop coordinated response strategies. Sustainable financing models, investment in multidisciplinary care infrastructure, and support for return-to-work programs will be essential to mitigate both the clinical and economic impact of PCS. The transferability of the reported cost estimates to other healthcare systems should be interpreted with caution. The German DRG-based reimbursement system is characterized by standardized flat-rate payments that reflect average resource use rather than actual expenditure at the individual hospital level. As a result, cost estimates may differ in countries with alternative financing models, such as fee-for-service systems, global hospital budgets, or mixed public&#x2013;private reimbursement structures. Nevertheless, the observed magnitude of inpatient resource utilization highlights that PCS imposes a substantial economic burden across healthcare systems, irrespective of the specific reimbursement framework. While absolute cost figures may not be directly comparable across countries, the relative intensity of diagnostic procedures, prolonged hospital stays in a subset of patients, and sustained inpatient utilization suggest that PCS represents a relevant cost driver in diverse health system contexts. Healthcare systems relying on fee-for-service reimbursement or global hospital budgets may experience different absolute cost estimates; however, the observed intensity of inpatient diagnostics and prolonged hospitalization in a subset of patients suggests comparable resource implications across systems.</p>
</sec>
<sec id="sec9">
<title>Health system implications</title>
<p>The sustained number of PCS-related hospitalizations and the broad range of diagnostic procedures underscore that PCS represents a structural challenge for hospital systems rather than a transient post-pandemic phenomenon. The frequent use of respiratory and neurological diagnostics, combined with prolonged lengths of stay in a subset of patients, suggests that current inpatient care pathways may not be optimally adapted to the needs of PCS patients. Strengthening outpatient specialized PCS clinics, interdisciplinary rehabilitation programs, and standardized diagnostic pathways may reduce unnecessary hospital admissions and improve continuity of care.</p>
</sec>
<sec id="sec10">
<title>Limitations</title>
<p>This study has several limitations that should be considered when interpreting the findings. First, the analysis is based on secondary administrative data from the InEK database, which is primarily designed for hospital reimbursement rather than epidemiological research. Since hospital billing data are primarily intended for financial and operational purposes, clinical accuracy may be affected by variations in coding practices. The accuracy of PCS diagnoses depends on proper documentation and ICD-10 coding by hospital staff, introducing a potential risk of misclassification, underreporting, or overcoding. Additionally, PCS remains a relatively new diagnosis, and its clinical definition and diagnostic criteria are still evolving, which may have led to heterogeneous coding across different hospitals. Financial and administrative incentives within DRG-based reimbursement systems thus, may influence diagnostic coding practices, potentially affecting PCS case identification.</p>
<p>Second, this study only includes inpatient cases, meaning that individuals who were diagnosed and treated in outpatient settings were not captured. Since many patients with PCS are managed in primary care, specialized outpatient clinics, or through rehabilitation programs, this exclusion leads to selection bias, overrepresenting more severe cases requiring hospitalization. Consequently, the true burden of PCS in the general population may be underestimated, as milder cases and those managed without hospitalization are not included in the dataset. It is worth noting that in Germany, 248,104 patients received outpatient treatment in the fourth quarter of 2023, according to data from the Zentralinstitut f&#x00FC;r die kassen&#x00E4;rztliche Versorgung (Zi). These figures are based on nationwide pseudonymized billing data from statutory health insurance physicians, compiled across health insurance providers in accordance with &#x00A7; 295 of the German Social Code Book V (SGB V) (<xref ref-type="bibr" rid="ref27">27</xref>). Third, patient-level characteristics and clinical details such as symptom severity, laboratory values, or imaging findings are not included in the dataset. The analysis does not account for individual risk factors such as pre-existing comorbidities, lifestyle factors, vaccination status, or prior COVID-19 severity, which could significantly influence hospitalization risk and outcomes. Additionally, socioeconomic variables, such as employment status, income, or access to specialized care, are not captured, limiting the ability to assess potential disparities in healthcare access and treatment patterns.</p>
<p>Further, while this study specifically aimed to estimate direct inpatient costs using G-DRG reimbursement data, it does not capture indirect costs or outpatient care expenses. As a result, the economic burden of PCS is likely underestimated, since costs associated with primary care visits, rehabilitation, mental health services, long-term disability, and productivity loss are not included.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec11">
<title>Conclusion</title>
<p>In conclusion, this study provides comprehensive insights into the inpatient burden of PCS in Germany, demonstrating that PCS remains a significant public health challenge with substantial healthcare costs and resource utilization. PCS hospitalizations predominantly affected middle-aged individuals, with a higher prevalence among women, and were frequently associated with chronic fatigue syndrome, dyspnea, neurological symptoms, and functional impairments. The frequent use of respiratory and neurological diagnostics underscores the multi-system nature of PCS, while the proportion of care dependency assessments highlights the long-term disability risk faced by many patients. From an economic perspective, the study confirms PCS as a costly condition, with total direct inpatient costs nearing &#x20AC;68 million. Taken together, these findings emphasize the need for long-term healthcare planning, standardized care pathways, and sustained research efforts to address the persistent clinical and economic burden of PCS.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec12">
<title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found at: the datasets generated and analyzed during the current study are publicly available via the InEK Data Browser at <ext-link xlink:href="https://datenbrowser.inek.org/" ext-link-type="uri">https://datenbrowser.inek.org/</ext-link>. Additional aggregated data supporting the findings of this study are available from the corresponding author on reasonable request.</p>
</sec>
<sec sec-type="ethics-statement" id="sec13">
<title>Ethics statement</title>
<p>The studies were conducted in accordance with the local legislation and institutional requirements. The ethics committee/institutional review board waived the requirement of written informed consent for participation from the participants or the participants&#x2019; legal guardians/next of kin because this study was based exclusively on publicly available, anonymized secondary data obtained from the Institute for the Hospital Remuneration System (InEK) data browser. As no individual patient data were accessed and no interventions were performed, approval by an ethics committee and informed consent were not required according to national regulations (&#x00A7; 15 BayDSG and Article 9(2)(j) GDPR).</p>
</sec>
<sec sec-type="author-contributions" id="sec14">
<title>Author contributions</title>
<p>NW: Conceptualization, Investigation, Methodology, Writing &#x2013; original draft. MR: Resources, Validation, Writing &#x2013; review &#x0026; editing. TH: Validation, Writing &#x2013; review &#x0026; editing. TL: Supervision, Validation, Writing &#x2013; review &#x0026; editing. IR: Formal analysis, Investigation, Methodology, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="COI-statement" id="sec15">
<title>Conflict of interest</title>
<p>The author(s) declared that this work 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="sec16">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was not 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="sec17">
<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>
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<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3098462/overview">Patrick Lillie</ext-link>, Hull and East Yorkshire Hospitals NHS Trust, United Kingdom</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1291677/overview">Ana Lozano</ext-link>, University of Cartagena, Colombia</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3353358/overview">Mohamed Hamadouche</ext-link>, Universite Ferhat Abbas Setif 1, Algeria</p>
</fn>
</fn-group>
<fn-group>
<fn fn-type="abbr" id="abbrev1">
<label>Abbreviations:</label>
<p>CT, computed tomography; EEG, electroencephalography; G-DRG, German Diagnosis-Related Groups; ICD-10, International Classification of Diseases, 10th Revision; ICD-10-GM, ICD-10 German Modification; LOS, length of stay; MRI, magnetic resonance imaging; OPS, operation and procedures keys; OR, operating room; PCS, post-COVID syndrome.</p>
</fn>
</fn-group>
</back>
</article>