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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2023.1065294</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Body composition parameters, immunonutritional indexes, and surgical outcome of pancreatic cancer patients resected after neoadjuvant therapy: A retrospective, multicenter analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Paiella</surname> <given-names>Salvatore</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1040163/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Azzolina</surname> <given-names>Danila</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Trestini</surname> <given-names>Ilaria</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1143806/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Malleo</surname> <given-names>Giuseppe</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Nappo</surname> <given-names>Gennaro</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ricci</surname> <given-names>Claudio</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1396891/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Ingaldi</surname> <given-names>Carlo</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Vacca</surname> <given-names>Pier Giuseppe</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>De Pastena</surname> <given-names>Matteo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1029603/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Secchettin</surname> <given-names>Erica</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/823795/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zamboni</surname> <given-names>Giulia</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Maggino</surname> <given-names>Laura</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Corciulo</surname> <given-names>Maria Assunta</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Sandini</surname> <given-names>Marta</given-names></name>
<xref ref-type="aff" rid="aff10"><sup>10</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2131074/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Cereda</surname> <given-names>Marco</given-names></name>
<xref ref-type="aff" rid="aff11"><sup>11</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Capretti</surname> <given-names>Giovanni</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Casadei</surname> <given-names>Riccardo</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/793892/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Bassi</surname> <given-names>Claudio</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/338768/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Mansueto</surname> <given-names>Giancarlo</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Gregori</surname> <given-names>Dario</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/677685/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Milella</surname> <given-names>Michele</given-names></name>
<xref ref-type="aff" rid="aff12"><sup>12</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/55143/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Zerbi</surname> <given-names>Alessandro</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/792691/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Gianotti</surname> <given-names>Luca</given-names></name>
<xref ref-type="aff" rid="aff11"><sup>11</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1491807/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Salvia</surname> <given-names>Roberto</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1568657/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>General and Pancreatic Surgery Unit, Pancreas Institute, University of Verona</institution>, <addr-line>Verona</addr-line>, <country>Italy</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Environmental and Preventive Science, University of Ferrara</institution>, <addr-line>Ferrara</addr-line>, <country>Italy</country></aff>
<aff id="aff3"><sup>3</sup><institution>Dietetics Services, Hospital Medical Direction, University Hospital Trust of Verona</institution>, <addr-line>Verona</addr-line>, <country>Italy</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Biomedical Sciences, Humanitas University</institution>, <addr-line>Pieve Emanuele</addr-line>, <country>Italy</country></aff>
<aff id="aff5"><sup>5</sup><institution>IRCCS Humanitas Research Hospital</institution>, <addr-line>Rozzano</addr-line>, <country>Italy</country></aff>
<aff id="aff6"><sup>6</sup><institution>Pancreatic Surgery Unit, IRCCS Azienda Ospedaliero-Universitaria Di Bologna</institution>, <addr-line>Bologna</addr-line>, <country>Italy</country></aff>
<aff id="aff7"><sup>7</sup><institution>Department of Internal Medicine and Surgery (DIMEC), S. Orsola-Malpighi Hospital, University of Bologna</institution>, <addr-line>Bologna</addr-line>, <country>Italy</country></aff>
<aff id="aff8"><sup>8</sup><institution>Radiology Unit, Pancreas Institute, University of Verona</institution>, <addr-line>Verona</addr-line>, <country>Italy</country></aff>
<aff id="aff9"><sup>9</sup><institution>Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padua</institution>, <addr-line>Padua</addr-line>, <country>Italy</country></aff>
<aff id="aff10"><sup>10</sup><institution>General Surgery Unit, University of Siena</institution>, <addr-line>Siena</addr-line>, <country>Italy</country></aff>
<aff id="aff11"><sup>11</sup><institution>School of Medicine and Surgery, University of Milano-Bicocca and HPB Unit, San Gerardo Hospital Monza</institution>, <addr-line>Monza</addr-line>, <country>Italy</country></aff>
<aff id="aff12"><sup>12</sup><institution>Section of Oncology, Department of Medicine, University of Verona Hospital Trust</institution>, <addr-line>Verona</addr-line>, <country>Italy</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Lilia Castillo-Martinez, Instituto Nacional de Ciencias M&#x000E9;dicas y Nutrici&#x000F3;n Salvador Zubir&#x000E1;n (INCMNSZ), Mexico</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Yi Wang, Wenzhou Medical University, China; Wei Chen, Peking Union Medical College Hospital (CAMS), China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Salvatore Paiella &#x02709; <email>Salvatore.paiella&#x00040;univr.it</email></corresp>
<corresp id="c002">Roberto Salvia &#x02709; <email>Roberto.salvia&#x00040;univr.it</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Clinical Nutrition, a section of the journal Frontiers in Nutrition</p></fn></author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>10</volume>
<elocation-id>1065294</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>01</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2023 Paiella, Azzolina, Trestini, Malleo, Nappo, Ricci, Ingaldi, Vacca, De Pastena, Secchettin, Zamboni, Maggino, Corciulo, Sandini, Cereda, Capretti, Casadei, Bassi, Mansueto, Gregori, Milella, Zerbi, Gianotti and Salvia.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Paiella, Azzolina, Trestini, Malleo, Nappo, Ricci, Ingaldi, Vacca, De Pastena, Secchettin, Zamboni, Maggino, Corciulo, Sandini, Cereda, Capretti, Casadei, Bassi, Mansueto, Gregori, Milella, Zerbi, Gianotti and Salvia</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p></license>
</permissions>
<abstract>
<sec>
<title>Background and aims</title>
<p>Body composition parameters and immunonutritional indexes provide useful information on the nutritional and inflammatory status of patients. We sought to investigate whether they predict the postoperative outcome in patients with pancreatic cancer (PC) who received neoadjuvant therapy (NAT) and then pancreaticoduodenectomy.</p>
</sec>
<sec>
<title>Methods</title>
<p>Data from locally advanced PC patients who underwent NAT followed by pancreaticoduodenectomy between January 2012 and December 2019 in four high-volume institutions were collected retrospectively. Only patients with two available CT scans (before and after NAT) and immunonutritional indexes (before surgery) available were included. Body composition was assessed and immunonutritional indexes collected were: VAT, SAT, SMI, SMA, PLR, NLR, LMR, and PNI. The postoperative outcomes evaluated were overall morbidity (any complication occurring), major complications (Clavien-Dindo &#x02265; 3), and length of stay.</p>
</sec>
<sec>
<title>Results</title>
<p>One hundred twenty-one patients met the inclusion criteria and constituted the study population. The median age at the diagnosis was 64 years (IQR16), and the median BMI was 24 kg/m<sup>2</sup> (IQR 4.1). The median time between the two CT-scan examined was 188 days (IQR 48). Skeletal muscle index (SMI) decreased after NAT, with a median delta of &#x02212;7.8 cm<sup>2</sup>/m<sup>2</sup> (<italic>p</italic> &#x0003C; 0.05). Major complications occurred more frequently in patients with a lower pre-NAT SMI (<italic>p</italic> = 0.035) and in those who gained in subcutaneous adipose tissue (SAT) compartment during NAT (<italic>p</italic> = 0.043). Patients with a gain in SMI experienced fewer major postoperative complications (<italic>p</italic> = 0.002). The presence of Low muscle mass after NAT was associated with a longer hospital stay [Beta 5.1, 95%CI (1.5, 8.7), <italic>p</italic> = 0.006]. An increase in SMI from 35 to 40 cm<sup>2</sup>/m<sup>2</sup> was a protective factor with respect to overall postoperative complications [OR 0.43, 95% (CI 0.21, 0.86), <italic>p</italic> &#x0003C; 0.001]. None of the immunonutritional indexes investigated predicted the postoperative outcome.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>Body composition changes during NAT are associated with surgical outcome in PC patients who receive pancreaticoduodenectomy after NAT. An increase in SMI during NAT should be favored to ameliorate the postoperative outcome. Immunonutritional indexes did not show to be capable of predicting the surgical outcome.</p>
</sec></abstract>
<kwd-group>
<kwd>pancreatic cancer</kwd>
<kwd>nutrition&#x02013;clinical</kwd>
<kwd>body composition</kwd>
<kwd>postoperative complications</kwd>
<kwd>inflammation</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="46"/>
<page-count count="8"/>
<word-count count="5882"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Pancreatic cancer (PC) remains a lethal malignancy (<xref ref-type="bibr" rid="B1">1</xref>), with a 5-year survival rate of around 30% after surgical resection and multimodal treatment (<xref ref-type="bibr" rid="B2">2</xref>). Furthermore, pancreatic surgery&#x00027;s morbidity and mortality rates are still high (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>), making the scenario even more problematic.</p>
<p>Pancreatic resections are recognized as one of the most challenging operations due to the magnitude of dissection and resection, the resultant global stress, and the high morbidity rate. Major surgery produces an intense metabolic response and nutritional status changes by activating an inflammatory cascade and releasing stress hormones. Appropriate tissue healing and recovery/maintenance of organ function after such operations necessitate adequate qualitative and quantitative nutritional substrates to be effective. Furthermore, when PC is cephalic, obstructive jaundice is almost invariably present and associated with impaired absorption, nutritional state, and homeostasis (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>The preoperative identification of patients at risk of malnutrition, and the adoption of nutritional corrective actions, especially in patients receiving systemic therapy before surgery, provides a window of intervention (<xref ref-type="bibr" rid="B6">6</xref>) that may mitigate the risk of poor postoperative outcome. Sarcopenia, a progressive decline in skeletal muscle mass, strength, and performance (<xref ref-type="bibr" rid="B7">7</xref>), is a direct consequence of impaired nutritional and metabolic status. Based on the patients&#x00027; populations considered and the cutoff used, the prevalence of sarcopenia in PC patients at diagnosis is variable (<xref ref-type="bibr" rid="B8">8</xref>). Research on the association of sarcopenia with surgical outcomes after pancreatic surgery has produced conflicting results (<xref ref-type="bibr" rid="B9">9</xref>&#x02013;<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>Computed tomography (CT) is an accurate tool to quantify whole-body composition (<xref ref-type="bibr" rid="B12">12</xref>); moreover, it is routinely used for staging and restaging of PC. Therefore, it is readily available without additional cost, radiation exposure, or inconvenience to the patient. In PC patients, the effects of neoadjuvant therapy (NAT) on body composition have been increasingly investigated, with contrasting results (<xref ref-type="bibr" rid="B13">13</xref>&#x02013;<xref ref-type="bibr" rid="B16">16</xref>). In general, lean muscle mass depletion is typical in patients with energetic imbalance and metabolic derangement and may be the driver of a worse surgical outcome.</p>
<p>Chronic systemic inflammation is the theoretical substrate of muscle depletion, sarcopenia, and cachexia (<xref ref-type="bibr" rid="B17">17</xref>), and many immunonutritional biochemical parameters have been developed to quantify it (<xref ref-type="bibr" rid="B18">18</xref>). Cutoff values of such immunonutritional indexes might serve as a proxy for immunonutritional impairment. Thus, they may help identify fragile patients with an increased pro-inflammatory status, assign patients to appropriate therapies, and even identify early pre-cachexia by offering a multimodal treatment. Among these indexes, the prognostic nutritional index (PNI) (<xref ref-type="bibr" rid="B19">19</xref>), the neutrophil-to-lymphocyte ratio (NLR) (<xref ref-type="bibr" rid="B20">20</xref>), the platelet-to-lymphocyte ratio (PLR) (<xref ref-type="bibr" rid="B21">21</xref>), and the lymphocyte-to-monocyte ratio (LMR) (<xref ref-type="bibr" rid="B22">22</xref>) have all been shown to be predictive of surgical or oncological outcome of PC patients.</p>
<p>The current study investigated whether changes in body composition during NAT and multiple preoperative nutritional indexes predict the surgical outcome of locally advanced PC patients who underwent pancreaticoduodenectomy after NAT.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Study design, patient population, and management</title>
<p>The prospective institutional electronic databases of the General and Pancreatic Surgery Unit, Pancreas Institute, University of Verona (Verona, Italy), Milano-Bicocca University at San Gerardo Hospital (Monza, Italy), Pancreatic Surgery Unit, University of Bologna (Bologna, Italy), and of the Pancreatic Surgery Unit of Humanitas University (Milan, Italy) were searched for adult PC patients with NCCN-defined (<xref ref-type="bibr" rid="B23">23</xref>) &#x0201C;borderline resectable&#x0201D; or &#x0201C;locally advanced&#x0201D; PC receiving pancreaticoduodenectomy after NAT, between January 2012 and December 2019, of whom two cross-sectional imaging examinations (before and after NAT) and immunonutritional indexes (before surgery) were available.</p>
<p>Regarding individual patient management, each Institution managed each case independently but with a common pathway. Briefly, the chemotherapy choice was left at the oncologist&#x00027;s discretion, and regular multidisciplinary reassessments were made. When the tumor shrunk and/or the Ca 199 levels normalized or at least halved, if radical resection was deemed feasible and the patient was fit, surgery was optioned, and the tumor was ultimately resected. The postoperative care was conducted according to the ERAS recommendations (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>Given this study&#x00027;s retrospective, observational, and anonymous nature, ethical approval was not required. The study was carried out following the Declaration of Helsinki.</p>
</sec>
<sec>
<title>Body composition assessments and definitions</title>
<p>Weight and height obtained from the patient&#x00027;s chart were recorded by hospital staff. Body mass index (BMI) was obtained by dividing actual weight by height squared (kg/m<sup>2</sup>), and the WHO classification was used for interpretation (<xref ref-type="bibr" rid="B25">25</xref>). Skeletal muscle area (SMA), skeletal muscle index (SMI), visceral adipose tissue (VAT), and subcutaneous adipose tissue (SAT) were analyzed from CT images. A single DICOM image was extracted from pre- (at the time of diagnosis/staging) and post-NAT (at restaging before surgery) CT images at the level of the third lumbar vertebra (L3) (<xref ref-type="bibr" rid="B26">26</xref>), an area chosen as the best correlate to whole-body composition (<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>DICOM images were then exported to dedicated software, such as CoreSlicer<sup>&#x000AE;</sup> (<xref ref-type="bibr" rid="B28">28</xref>) (Verona and Milan Centers) and ImageJ (<xref ref-type="bibr" rid="B29">29</xref>) (Bologna Center). All software, using pre-established Hounsfield unit (HU) thresholds (<xref ref-type="bibr" rid="B30">30</xref>), identified and quantified in cm<sup>2</sup> areas of specific tissues as follows: &#x02212;29&#x02013; &#x0002B;150 HU for SM, &#x02212;190&#x02013; &#x02212;30 HU for SAT, and &#x02212;150&#x02013; &#x02212;50 HU for VAT. The skeletal muscle index (SMI) was calculated by normalizing the skeletal muscle area to squared height (in m<sup>2</sup>). Body composition measurements&#x00027; variation (delta, &#x00394;, calculated as post- minus pre-NAT values) has been calculated.</p>
<p>Acknowledging that the evaluation of muscle quality is mandatory to describe the presence of sarcopenia, and this parameter was not evaluated in the present study, the commonly used term &#x0201C;sarcopenia&#x0201D; has been substituted with &#x0201C;Low muscle mass,&#x0201D; referring to the depletion of lean muscle mass, and the cutoff value proposed by Martin et al. (<xref ref-type="bibr" rid="B31">31</xref>) has been adopted.</p>
</sec>
<sec>
<title>Immunonutritional indexes</title>
<p>The immunonutritional indexes were calculated using the laboratory data available at preoperative clinical assessment, typically performed 1&#x02013;3 weeks before surgery. NLR, PNI, PLR, and LMR were considered continuous variables.</p>
</sec>
<sec>
<title>Surgical outcome</title>
<p>Overall morbidity was the main outcome. It was evaluated considering the rate of postoperative complications (any kind). Secondary metrics for surgical outcome evaluation were:</p>
<list list-type="bullet">
<list-item><p>Major Complications [defined as Clavien-Dindo (<xref ref-type="bibr" rid="B32">32</xref>) grade &#x02265; 3],</p></list-item>
<list-item><p>Length of stay (days).</p></list-item>
</list>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Descriptive statistics were used to summarize the data from the study variables. Median and interquartile ranges were considered for continuous variables, while, for categorical ones, absolute and relative frequencies were used to synthesize the data. Comparisons of patient characteristics between independent groups were made by calculating the Wilcoxon rank-sum test for continuous variables and the Chi-square test or Fisher&#x00027;s exact test, wherever appropriate, for categorical ones. The effect of SMI on the primary study endpoint was evaluated <italic>via</italic> a logistic regression model accounting for non-linear effects by estimating a restricted cubic spline. The models were adjusted for the characteristics of the patients, such as &#x0201C;sex&#x0201D; and &#x0201C;age.&#x0201D; The SMI cutoff was estimated by identifying the inflection point of the morbidity risk prediction curve. The SMI effects on the morbidity risk are reported in intervals of 5 SMI variations around the inflection point. The effect of SMI on the length of stay has been assessed using the ordinary least squares method with a restricted cubic spline. The Huber-White robust standard error sandwich estimator accounted for the correlation within the repeated pre- and post-measurements. The effect of age on SMI has been assessed using the ordinary least squares method with a linear regression model, adjusted for sex. The 1,000 runs bootstrap 95% confidence intervals have been reported for the prediction plots. The univariable linear regression model results, considering the effect of body composition parameters on the length of stay have been also reported with the estimated effects (Beta) and the 95% confidence intervals.</p>
<p>Analyses were performed with the R system (<xref ref-type="bibr" rid="B33">33</xref>) and the rms libraries (<xref ref-type="bibr" rid="B34">34</xref>).</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Patient characteristics</title>
<p>A total of 121 patients met the inclusion criteria and were enrolled in the study. Females and males were almost equally distributed (50.4%/49.6%), the median age at diagnosis was 64 (IQR 16), and the median BMI was 24 kg/m<sup>2</sup> (IQR 4.1). At diagnosis, 92 (76%) cases were borderline resectable cancer, and the remaining 29 (24%) were locally advanced. The most common chemotherapy regimen was FOLFIRINOX (Fluorouracil-Folinic Acid-Irinotecan-Oxaliplatin, 45.4%), and the median duration of chemotherapy was five cycles (IQR 5). Thirty patients (24.8%) received additional stereotaxic radiation therapy before surgery. At restaging, 63 (52%) and 54 (44.7%) patients had stable and partial/complete responses, respectively. <xref ref-type="table" rid="T1">Table 1</xref> reports the general characteristics of the study population, including chemotherapy, surgical, pathologic, and relevant postoperative data.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Study population&#x00027;s general characteristics (<italic>n</italic> = 121).</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919497; color:#ffffff;">
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center"><bold>Total, <italic>n</italic> (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years, mean, SD)</td>
<td valign="top" align="center">61 (10)</td>
</tr>
<tr>
<td valign="top" align="left">Sex (Female)</td>
<td valign="top" align="center">61 (50.4%)</td>
</tr>
<tr>
<td valign="top" align="left">ASA score III-IV, yes</td>
<td valign="top" align="center">24 (19.8%)</td>
</tr>
<tr>
<td valign="top" align="left">CACI &#x0003E;4, yes</td>
<td valign="top" align="center">71 (58.7%)</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus, yes</td>
<td valign="top" align="center">27 (22.3%)</td>
</tr>
<tr>
<td valign="top" align="left">NLR (median, IQR)</td>
<td valign="top" align="center">2.1 (2)</td>
</tr>
<tr>
<td valign="top" align="left">PLR (median, IQR)</td>
<td valign="top" align="center">140 (59.8)</td>
</tr>
<tr>
<td valign="top" align="left">LMR (median, IQR)</td>
<td valign="top" align="center">2.6 (2)</td>
</tr>
<tr>
<td valign="top" align="left">PNI (median, IQR)</td>
<td valign="top" align="center">41 (4.8)</td>
</tr>
<tr>
<td valign="top" align="left">Albumin (g/L, median, IQR)</td>
<td valign="top" align="center">41 (5.2)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Stage at diagnosis</td>
</tr>
<tr>
<td valign="top" align="left">Borderline resectable</td>
<td valign="top" align="center">92 (76)</td>
</tr>
<tr>
<td valign="top" align="left">Locally advanced</td>
<td valign="top" align="center">29 (24)</td>
</tr>
<tr>
<td valign="top" align="left">Tumor size (mm, mean, SD)</td>
</tr>
<tr>
<td valign="top" align="left">Pre-neoadjuvant therapy</td>
<td valign="top" align="center">30.6 (8.9)</td>
</tr>
<tr>
<td valign="top" align="left">Post-neoadjuvant therapy</td>
<td valign="top" align="center">24.3 (9.6)</td>
</tr>
<tr>
<td valign="top" align="left">Neoadjuvant therapy scheme</td>
</tr>
<tr>
<td valign="top" align="left">FOLFIRINOX</td>
<td valign="top" align="center">55 (45.4)</td>
</tr>
<tr>
<td valign="top" align="left">Gemcitabine/Nab-Paclitaxel</td>
<td valign="top" align="center">33 (27.3)</td>
</tr>
<tr>
<td valign="top" align="left">Other</td>
<td valign="top" align="center">23 (27.3)</td>
</tr>
<tr>
<td valign="top" align="left">Chemotherapy duration (cycles, median, IQR)</td>
<td valign="top" align="center">5 (5)</td>
</tr>
<tr>
<td valign="top" align="left">Time diagnosis to surgery (mo, median, IQR)</td>
<td valign="top" align="center">6 (5)</td>
</tr>
<tr>
<td valign="top" align="left">Vascular resection, yes</td>
<td valign="top" align="center">24 (19.8%)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">T-status at pathology</td>
</tr>
<tr>
<td valign="top" align="left">Tx</td>
<td valign="top" align="center">15 (12.4)</td>
</tr>
<tr>
<td valign="top" align="left">T1</td>
<td valign="top" align="center">31 (25.6)</td>
</tr>
<tr>
<td valign="top" align="left">T2</td>
<td valign="top" align="center">58 (47.9)</td>
</tr>
<tr>
<td valign="top" align="left">T3</td>
<td valign="top" align="center">4 (3.3)</td>
</tr>
<tr>
<td valign="top" align="left">T4</td>
<td valign="top" align="center">13 (10.7)</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">N-status at pathology</td>
</tr>
<tr>
<td valign="top" align="left">N0</td>
<td valign="top" align="center">47 (38.8)</td>
</tr>
<tr>
<td valign="top" align="left">N1</td>
<td valign="top" align="center">46 (38)</td>
</tr>
<tr>
<td valign="top" align="left">N2</td>
<td valign="top" align="center">28 (23.2)</td>
</tr>
<tr>
<td valign="top" align="left">R0 resection, yes</td>
<td valign="top" align="center">68 (56.2)</td>
</tr>
<tr>
<td valign="top" align="left">Length of stay (days), median (IQR)</td>
<td valign="top" align="center">11 (9)</td>
</tr>
<tr>
<td valign="top" align="left">Postoperative morbidity (overall), yes</td>
<td valign="top" align="center">61 (50.4%)</td>
</tr>
<tr>
<td valign="top" align="left">Major complications (Clavien-Dindo &#x02265; 3), yes</td>
<td valign="top" align="center">15 (12.4%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lympho-cyte ratio; LMR, lymphocyte-to-monocyte ratio; PNI, prognostic nutritional index.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Body composition changes after NAT</title>
<p><xref ref-type="table" rid="T2">Table 2</xref> shows the changes in body composition after the completion of NAT. The median time between the two CT scans was 188 days (IQR 48). Before NAT, 36 patients (32.1%) reported low muscle mass, and this percentage increased slightly after NAT (<italic>N</italic> = 41, 33.9%). Muscle components (SMI) or adipose tissue (VAT) components decreased after NAT (all <italic>p</italic> &#x0003C; 0.05). The regression model found that for an increase in age from 54 to 70 years, a decrease in SMI of 5 cm<sup>2</sup>/m<sup>2</sup> is expected [95%CI (&#x02212;9.9, &#x02212;0.2), <italic>p</italic> = 0.04].</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Body composition parameters changes during neoadjuvant therapy.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919497; color:#ffffff;">
<th valign="top" align="left"><bold>Parameter</bold></th>
<th valign="top" align="center"><bold>Pre NAT</bold></th>
<th valign="top" align="center"><bold>Post NAT</bold></th>
<th valign="top" align="center"><bold>Delta</bold></th>
<th valign="top" align="center"><bold>95% CI</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">BMI, kg/m<sup>2</sup></td>
<td valign="top" align="center">24.0 (4.1)</td>
<td valign="top" align="center">23.8 (4.0)</td>
<td valign="top" align="center">&#x02212;0.14 (1.46)</td>
<td valign="top" align="center">&#x02212;1.3, 0.60</td>
<td valign="top" align="center">0.5</td>
</tr>
<tr>
<td valign="top" align="left">SMA, cm<sup>2</sup></td>
<td valign="top" align="center">133 (58)</td>
<td valign="top" align="center">134 (51)</td>
<td valign="top" align="center">1.2 (16)</td>
<td valign="top" align="center">&#x02212;12, 8.5</td>
<td valign="top" align="center">0.7</td>
</tr>
<tr>
<td valign="top" align="left">SMI, cm<sup>2</sup>/m<sup>2</sup></td>
<td valign="top" align="center">52 (32)</td>
<td valign="top" align="center">49 (16)</td>
<td valign="top" align="center">0.34 (13.54)</td>
<td valign="top" align="center">&#x02212;13, &#x02212;2.6</td>
<td valign="top" align="center"><bold>0.003</bold></td>
</tr>
<tr>
<td valign="top" align="left">VAT, cm<sup>2</sup></td>
<td valign="top" align="center">121 (124)</td>
<td valign="top" align="center">103 (108)</td>
<td valign="top" align="center">&#x02212;8.7 (40.1)</td>
<td valign="top" align="center">&#x02212;30, 9.4</td>
<td valign="top" align="center"><bold>&#x0003C;0.001</bold></td>
</tr>
<tr>
<td valign="top" align="left">SAT, cm<sup>2</sup></td>
<td valign="top" align="center">167 (108)</td>
<td valign="top" align="center">166 (98)</td>
<td valign="top" align="center">&#x02212;8.7 (55.3)</td>
<td valign="top" align="center">&#x02212;29, 9.7</td>
<td valign="top" align="center">0.054</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>&#x02020;</sup>Median (IQR); %; n (%).</p>
<p>NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; LMR, lymphocyte-to-monocyte ratio; PNI, prognostic nutritional index. SMA, skeletal muscle area; SMI, skeletal muscle index; SAT, subcutaneous adipose tissue; VAT, visceral adipose tissue. Bold values indicate statistical significance.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Body composition changes and surgical outcome</title>
<p>Regarding the main study&#x00027;s outcome, general postoperative complications were not associated with changes in the body compartment (<xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>). The SMI effects on the morbidity risk are reported in intervals of 5 SMI variations (30&#x02013;50) around the 42 SMI inflection point. We found that an increase in SMI from 35 to 40 cm<sup>2</sup>/m<sup>2</sup> reduced the probability of developing any postoperative complications [Log-OR 0.43, 95% CI (0.21, 0.86), <italic>p</italic> &#x0003C; 0.001, <xref ref-type="fig" rid="F1">Figure 1</xref>]. As concern major postoperative complications, they occurred more frequently in patients who had a pre-NAT lower SMI (<italic>p</italic> = 0.035) and a gain in the SAT compartment (<italic>p</italic> = 0.043), and less frequently in patients who had a gain in SMI (<italic>p</italic> = 0.002, <xref ref-type="table" rid="T3">Table 3</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Logistic regression model for postoperative morbidity risk (log-OR) according to SMI (Pre- and Post-NAT) adjusted per gender and age (<italic>p</italic> &#x0003C; 0.001, see text). Both linear (<italic>p</italic> = 0.01) and non-linear (<italic>p</italic> = 0.02) effects are significant. NAT, Neoadjuvant therapy; SMI, skeletal muscle index (cm<sup>2</sup>/m<sup>2</sup>).</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnut-10-1065294-g0001.tif"/>
</fig>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Body composition changes and major postoperative complications.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919497; color:#ffffff;">
<th/>
<th valign="top" align="center"><bold>Major Complications (<italic>n</italic> = 15)</bold></th>
<th valign="top" align="center"><bold>No major Complications (<italic>n</italic> = 101)</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4">SMA, cm<sup>2</sup> (median, IQR)</td>
</tr>
<tr>
<td valign="top" align="left">Pre-NT</td>
<td valign="top" align="center">126 (54)</td>
<td valign="top" align="center">134 (58)134 (58)</td>
<td valign="top" align="center">0.8</td>
</tr>
<tr>
<td valign="top" align="left">Post-NT</td>
<td valign="top" align="center">125 (43)</td>
<td valign="top" align="center">136 (50)</td>
<td valign="top" align="center">0.7</td>
</tr>
<tr>
<td valign="top" align="left">&#x00394;</td>
<td valign="top" align="center">15 (24)</td>
<td valign="top" align="center">1 (12)</td>
<td valign="top" align="center">0.066</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4">SMI, cm<sup>2</sup>/m<sup>2</sup> (median, IQR)</td>
</tr>
<tr>
<td valign="top" align="left">Pre- NT</td>
<td valign="top" align="center">44 (10)</td>
<td valign="top" align="center">53 (35)</td>
<td valign="top" align="center"><bold>0.035</bold></td>
</tr>
<tr>
<td valign="top" align="left">Post- NT</td>
<td valign="top" align="center">49 (16)</td>
<td valign="top" align="center">50 (12)</td>
<td valign="top" align="center">0.7</td>
</tr>
<tr>
<td valign="top" align="left">&#x00394;</td>
<td valign="top" align="center">0 (17)</td>
<td valign="top" align="center">6 (5)</td>
<td valign="top" align="center"><bold>0.002</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="4">SAT, cm<sup>2</sup> (median, IQR)</td>
</tr>
<tr>
<td valign="top" align="left">Pre- NT</td>
<td valign="top" align="center">140 (112)</td>
<td valign="top" align="center">168 (107)</td>
<td valign="top" align="center">0.7</td>
</tr>
<tr>
<td valign="top" align="left">Post- NT</td>
<td valign="top" align="center">183 (89)</td>
<td valign="top" align="center">164 (99)</td>
<td valign="top" align="center">0.5</td>
</tr>
<tr>
<td valign="top" align="left">&#x00394;</td>
<td valign="top" align="center">12 (48)</td>
<td valign="top" align="center">&#x02212;11 (51)</td>
<td valign="top" align="center"><bold>0.043</bold></td>
</tr>
<tr>
<td valign="top" align="left" colspan="4">VAT, cm<sup>2</sup> (median, IQR)</td>
</tr>
<tr>
<td valign="top" align="left">Pre- NT</td>
<td valign="top" align="center">81 (119)</td>
<td valign="top" align="center">121 (122)</td>
<td valign="top" align="center">0.5</td>
</tr>
<tr>
<td valign="top" align="left">Post- NT</td>
<td valign="top" align="center">96 (90)</td>
<td valign="top" align="center">107 (109)</td>
<td valign="top" align="center">0.9</td>
</tr>
<tr>
<td valign="top" align="left">&#x00394;</td>
<td valign="top" align="center">&#x02212;1 (43)</td>
<td valign="top" align="center">&#x02212;10 (39)</td>
<td valign="top" align="center">0.2</td>
</tr>
<tr>
<td valign="top" align="left" colspan="4">Low muscle mass (32)</td>
</tr>
<tr>
<td valign="top" align="left">Pre-neoadjuvant therapy</td>
<td valign="top" align="center">40%</td>
<td valign="top" align="center">28%</td>
<td valign="top" align="center">0.432</td>
</tr>
<tr>
<td valign="top" align="left">Post-neoadjuvant therapy</td>
<td valign="top" align="center">33%</td>
<td valign="top" align="center">34%</td>
<td valign="top" align="center">0.961</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; LMR, lymphocyte-to-monocyte ratio; PNI, prognostic nutritional index. SMA, skeletal muscle area; SMI, skeletal muscle index; SAT, subcutaneous adipose tissue; VAT, visceral adipose tissue. Bold values indicate statistical significance.</p>
</table-wrap-foot>
</table-wrap>
<p>When it comes to the length of stay, an increase in VAT (pre- and post-NAT), and the presence of low muscle mass after NAT were associated with a longer stay [Beta 0.03, 95%CI (0.01, 0.05), <italic>p</italic> = 0.010; Beta 0.04, 95%CI (0.02, 0.06), <italic>p</italic> = 0.019; and Beta 5.1, 95%CI (1.5, 8.7), <italic>p</italic> = 0.006, respectively], while an increase in albumin predicted a shorter stay [Beta &#x02212;0.24, 95%CI (&#x02212;0.47, &#x02212;0.02), <italic>p</italic> = 0.039]; <xref ref-type="table" rid="T4">Table 4</xref> shows a selection of the variables of the analysis, while <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 3</xref> provides the complete list.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Univariable analysis and length of stay (extracted from <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 3</xref>).</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919497; color:#ffffff;">
<th valign="top" align="left"><bold>Variable</bold></th>
<th valign="top" align="center"><bold>Beta</bold></th>
<th valign="top" align="center"><bold>95% CI</bold></th>
<th valign="top" align="center"><bold><italic>p</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Albumin, g/L</td>
<td valign="top" align="center">&#x02212;0.24</td>
<td valign="top" align="center">&#x02212;0.47, &#x02212;0.02</td>
<td valign="top" align="center"><bold>0.039</bold></td>
</tr>
<tr>
<td valign="top" align="left">NLR</td>
<td valign="top" align="center">0.58</td>
<td valign="top" align="center">&#x02212;0.17, 1.3</td>
<td valign="top" align="center">0.13</td>
</tr>
<tr>
<td valign="top" align="left">PNI</td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center">&#x02212;0.42, 0.27</td>
<td valign="top" align="center">0.7</td>
</tr>
<tr>
<td valign="top" align="left">PLR</td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">&#x02212;0.01, 0.02</td>
<td valign="top" align="center">0.4</td>
</tr>
<tr>
<td valign="top" align="left">LMR</td>
<td valign="top" align="center">&#x02212;0.50</td>
<td valign="top" align="center">&#x02212;1.5, 0.47</td>
<td valign="top" align="center">0.3</td>
</tr>
<tr>
<td valign="top" align="left">SMA pre-NAT, cm<sup>2</sup></td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">&#x02212;0.03, 0.05</td>
<td valign="top" align="center">0.6</td>
</tr>
<tr>
<td valign="top" align="left">SMI pre-NAT, cm<sup>2</sup>/m<sup>2</sup></td>
<td valign="top" align="center">&#x02212;0.01</td>
<td valign="top" align="center">&#x02212;0.09, 0.07</td>
<td valign="top" align="center">0.8</td>
</tr>
<tr>
<td valign="top" align="left">VAT pre-NAT, cm<sup>2</sup></td>
<td valign="top" align="center">0.03</td>
<td valign="top" align="center">0.01, 0.05</td>
<td valign="top" align="center"><bold>0.010</bold></td>
</tr>
<tr>
<td valign="top" align="left">SAT pre-NAT, cm<sup>2</sup></td>
<td valign="top" align="center">0.00</td>
<td valign="top" align="center">&#x02212;0.02, 0.02</td>
<td valign="top" align="center">&#x0003E;0.9</td>
</tr>
<tr>
<td valign="top" align="left">SMA post-NAT, cm<sup>2</sup></td>
<td valign="top" align="center">&#x02212;0.03</td>
<td valign="top" align="center">&#x02212;0.07, 0.02</td>
<td valign="top" align="center">0.2</td>
</tr>
<tr>
<td valign="top" align="left">SMI post-NAT, cm<sup>2</sup>/m<sup>2</sup></td>
<td valign="top" align="center">&#x02212;0.07</td>
<td valign="top" align="center">&#x02212;0.17, 0.04</td>
<td valign="top" align="center">0.2</td>
</tr>
<tr>
<td valign="top" align="left">VAT post-NAT, cm<sup>2</sup></td>
<td valign="top" align="center">0.04</td>
<td valign="top" align="center">0.02, 0.06</td>
<td valign="top" align="center"><bold>0.019</bold></td>
</tr>
<tr>
<td valign="top" align="left">SAT post-NAT, cm<sup>2</sup></td>
<td valign="top" align="center">0.01</td>
<td valign="top" align="center">&#x02212;0.01, 0.03</td>
<td valign="top" align="center">0.4</td>
</tr>
<tr>
<td valign="top" align="left">Low muscle mass (32) pre-NAT</td>
<td valign="top" align="center">2.3</td>
<td valign="top" align="center">&#x02212;1.5, 6.1</td>
<td valign="top" align="center">0.2</td>
</tr>
<tr>
<td valign="top" align="left">Low muscle mass (32) post-NAT</td>
<td valign="top" align="center">5.1</td>
<td valign="top" align="center">1.5, 8.7</td>
<td valign="top" align="center"><bold>0.006</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>NLR, neutrophil-to-lymphocyte ratio; PLR, platelet-to-lymphocyte ratio; LMR, lymphocyte-to-monocyte ratio; PNI, prognostic nutritional index. SMA, skeletal muscle area; SMI, skeletal muscle index; SAT, subcutaneous adipose tissue; VAT, visceral adipose tissue. Bold values indicate statistical significance.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Immunonutritional indexes and surgical outcome</title>
<p>None of the immunonutritional indexes proved predictive of a worse postoperative outcome (<xref ref-type="table" rid="T4">Table 4</xref>, <xref ref-type="supplementary-material" rid="SM1">Supplementary Tables 2</xref>, <xref ref-type="supplementary-material" rid="SM1">3</xref>). In addition, no differences were found when comparing each immunonutritional index in sarcopenic vs. non-sarcopenic patients (data not shown).</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Body composition analysis and a careful nutritional assessment are invaluable tools that help identify cancer patients at risk of major postoperative complications. PC patients are not an exception. Typically, they are malnourished and sarcopenic, already at diagnosis. In this study, about one-third of the included patients had a low muscle mass at diagnosis, and this rate remained substantially stable after NAT. The absence of a worsening of sarcopenia, reported by other surgical series (<xref ref-type="bibr" rid="B9">9</xref>), may be due to the always increased awareness among patients, caregivers, and healthcare providers of the importance of nutritional status in oncology, especially in PC patients (the majority of the present study patients were enrolled during the last year of the study period).</p>
<p>Regarding the body composition changes that occur during NAT, it was found that both the muscular and the fat compartments were significantly impacted by NAT. These findings have already been reported for PC patients receiving chemotherapy (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B35">35</xref>&#x02013;<xref ref-type="bibr" rid="B39">39</xref>), demonstrating energetic dyshomeostasis. Therefore, attention must be paid to the body composition changes that occur during NAT in an attempt to maintain patients&#x00027; body homeostasis, energetic balance, and appropriate metabolism. Radiological reevaluations performed periodically during NAT allow clinicians to achieve it.</p>
<p>When it comes to the study&#x00027;s primary endpoint, while any body composition parameter change did not influence the occurrence of any complications, patients experiencing major complications had a lower pre-NAT SMI value compared with those not facing major complications (<italic>p</italic> &#x0003C; 0.05); additionally, patients having a positive delta SMI (those who gained lean muscle mass) were less likely to experience major postoperative complications. The opposite was true for patients gaining subcutaneous fat tissues after NAT that were more exposed to major complications (all <italic>p</italic> &#x0003C; 0.05). These results align with the fact that the presence of sarcopenia post-NAT predicts a longer length of stay (<xref ref-type="bibr" rid="B11">11</xref>). That gaining SAT exposed patients to a greater risk of major postoperative complications is not easily explained because, despite being non-statistically significant, a tendency toward fat tissue loss during NAT was found for both VAT and SAT (<xref ref-type="table" rid="T1">Table 1</xref>). This finding is likely to be clinically meaningless.</p>
<p>A longer stay was also associated with high VAT values. This finding may be explainable by some factors or events not collected for this study (surgical site infections and, in general, infectious complications), so that patients with a high component of adipose tissue experience a longer hospitalization and, in general, failure to rescue. Instead, an increase in albumin was associated with a shorter length of stay. This recalls previous reports that associated low preoperative albumin levels with a worse postoperative outcome after pancreatic surgery (<xref ref-type="bibr" rid="B43">43</xref>&#x02013;<xref ref-type="bibr" rid="B45">45</xref>). However, other studies did not report the same finding (<xref ref-type="bibr" rid="B46">46</xref>), and a recent randomized controlled trial demonstrated that the routine correction of preoperative hypoalbuminemia did not lead to a better postoperative outcome (<xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>This study presents a novel dynamic model that can identify patients with the greater benefit of gaining lean muscle mass, namely those who move from an SMI of 35 to an SMI of 40 cm<sup>2</sup>/m<sup>2</sup>. This positive change may reduce the odds of experiencing any postoperative complication by about 60%. This aspect points attention to the need to identify patients at high risk of postoperative complications, focusing on those with low SMI who can concretely benefit from a tailored nutritional intervention to reduce the probability of postoperative complications, following a nutritional path, and setting a goal. The other fluctuations of the SMI to values &#x0003E;40 did not show any protective factor vs. major postoperative complications, since at these values of the SMI it is likely that the body can better resist surgical stress and sooner reach homeostasis. However, our results need to be confirmed prospectively.</p>
<p>Among the immunonutritional values, none predicted the postoperative outcome. This result probably reflects the heterogeneity of the study population when it comes to neutrophil and lymphocyte values with respect to having suffered from inflammatory, infectious events before and close to surgery that could have altered these values in the preoperative period (65% of patients had a biliary stent, 25% received multiple endoscopic procedures in the biliary tract, and 15% had had cholangitis).</p>
<p>Of note, we found that a decrease in SMI has to be expected with the increase in age (<xref ref-type="supplementary-material" rid="SM1">Supplementary Figure 1</xref>). About one-third of 60-year-old patients are sarcopenic (<xref ref-type="bibr" rid="B41">41</xref>), and a decrease in lean muscle mass must be expected at a rate of 15% per decade over 70 years (<xref ref-type="bibr" rid="B42">42</xref>). Considering that the highest peak of PC incidence occurs between 60 and 80 years, our results underline that nutritional evaluation at the time of diagnosis and during NAT may be fundamental, especially in elderly patients. Pre-habilitation regimens based on exercise (aerobic and resistance activity) and nutritional support focused on maximizing energy and protein intake should focus especially on these subgroups of patients to improve the outcome.</p>
<p>This study has some limitations. First, its retrospective nature does not allow avoiding a selection bias. Second, while the study covers a long period, there was an imbalance toward the last year, when more than half of the cases were recruited. This may have generated a selection and management bias. Third, it cannot be excluded that the enrolled patients could have received nutritional counseling and support during chemotherapy, thus creating another source of bias. Fourth, the assessment of muscle quality (strength or performance) was not done nor feasible, highlighting that muscle mass was evaluated in terms of quantity (low muscle mass) and not quality. Fifth, comparing the results of the present study with the available literature might be inaccurate, as populations are very heterogeneous in terms of disease stages and treatments. Last, the study population is heterogeneous in terms of neoadjuvant treatment and stage disease, and this may impact the results obtained.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusions</title>
<p>In conclusion, in our experience, the muscle compartment may decrease during NAT, and the delta of variation may provide useful predictive information for the preoperative risk assessment analysis of PC patients undergoing pancreaticoduodenectomy after NAT. For the first time, we identified a subset of patients that may benefit the most from a gain in SMI during NAT, creating a nutritional trajectory to follow and a goal for clinicians to optimize postoperative outcomes. This study failed to prove the ability of the immunonutritional indexes to predict the postoperative outcome; their application may be more appropriate in non-cephalic PC.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s11">Supplementary material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This work was funded by FIMP, Fondazione Italiana Malattie Pancreas&#x02013;Italian Ministry of Health (CUP_J38D19000690001).</p>
</sec>
<ack><p>The authors thank Mr. Andrea Guerra (Radiology Unit, AOUI Verona, Verona, Italy) for the technical support.</p>
</ack>
<sec sec-type="COI-statement" id="conf1">
<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="disclaimer" id="s10">
<title>Publisher&#x00027;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>
<sec sec-type="supplementary-material" id="s11">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fnut.2023.1065294/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fnut.2023.1065294/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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