Feeding the Fight: Can Long-Term Oral Nutrition Reduce Surgical Complications?

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İlkay Halıcıoğlu, M. Kadri Çolakoğlu, Volkan Öter, E. Birol Bostancı This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7209081/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Background Malnutrition is a common and detrimental condition in patients with advanced gastric cancer undergoing neoadjuvant therapy. This study aims to evaluate the impact of preoperative long term oral enteral nutrition support on postoperative outcomes in these patients. Methods Between 2023 and 2024, 100 patients with locally advanced gastric cancer were retrospectively analyzed. Fifty patients received preoperative oral nutritional support during neoadjuvant therapy, while 50 served as controls. Nutritional status was assessed using the Prognostic Nutrition Index (PNI). Primary outcomes included postoperative complications, hospital length of stay, and anastomotic leakage. Results The study group had a significantly shorter hospital stay (8.9 vs. 15 days, p < 0.001) and no cases of anastomotic leakage compared to the control group (0% vs. 10%, p < 0.001). There were no significant differences between groups regarding total complication rates (36% vs. 32%, p = 0.65) or other major complications. A greater decrease in PNI was observed in the control group, although this was not statistically significant. Conclusion In patients with advanced gastric cancer, preoperative oral enteral nutrition support during neoadjuvant therapy was associated with a shorter hospital stay and a lower rate of anastomotic leakage. While these findings are encouraging, they should be interpreted with caution due to the retrospective, non-randomised design of the study. Further prospective studies are needed to confirm these results and support the integration of structured nutritional protocols into clinical guidelines. Biological sciences/Cancer Health sciences/Diseases Health sciences/Gastroenterology Health sciences/Medical research Health sciences/Oncology gastric cancer enteral nutrition neoadjuvant therapy postoperative complications anastomotic leakage Prognostic Nutrition Index Introductıon Gastric cancer is one of the most common malignancies worldwide and ranks among the leading causes of cancer-related deaths. It is the fifth most common cancer globally and the fourth leading cause of cancer-related deaths. Approximately 990,000 new cases of stomach cancer are diagnosed worldwide each year, accounting for 4.9% of all cancer cases. In the same year, 738,000 deaths occurred due to stomach cancer [ 1 ]. The treatment process for this disease typically involves multimodal approaches such as surgical intervention, chemotherapy, and/or radiotherapy. Neoadjuvant therapy is widely used in patients with advanced stomach cancer to reduce tumor size and improve surgical outcomes. However, these treatment protocols can cause significant weight loss, malnutrition, and muscle mass loss, which negatively affect nutritional status. Correria et al. mentioned in their systematic review that chemotherapy causes weight and muscle loss [ 2 ]. Malnutrition in patients with stomach cancer is associated with increased treatment-related side effects, reduced treatment compliance, decreased quality of life, and a poor prognosis [ 3 ]. Symptoms such as mechanical obstruction caused by the tumor, loss of appetite, nausea, and vomiting further increase the risk of malnutrition in these patients. Therefore, assessing patients' nutritional status and providing nutritional support before initiating neoadjuvant therapy in gastric cancer is critical to improving treatment success and reducing treatment-related complications. Studies evaluating the positive effects of nutritional support on clinical outcomes in cancer patients have increased awareness in this area in recent years. However, the effectiveness of nutritional support prior to neoadjuvant therapy for gastric cancer patients and which patients may benefit most from this support remain unclear. This article discusses the postoperative outcomes of patients with locally advanced gastric cancer who received nutritional support during neoadjuvant therapy at our clinic. Material and Methods Patients: Between 2023 and 2024, 127 patients with advanced gastric cancer were referred to our outpatient clinic. Fifteen patients were excluded from the study because they were classified as American Society of Anesthesiologists (ASA) class IV during the anesthetic evaluation prior to diagnostic laparoscopy. The remaining 112 patients were recommended for participation in the study group and initiation of nutritional support. Sixty-two patients accepted nutritional support. Of those, three patients died during the neoadjuvant process. One patient declined surgery. Eight patients were deemed inoperable during surgery. The remaining 50 patients were selected as the control group. A power analysis was performed prior to the study. It was determined that 50 patients in each group would be sufficient. Hemoglobin, creatinine, and prognostic nutrition indices (albumin and lymphocytes) were assessed in patients before and after neoadjuvant therapy. Postoperative outcomes, including wound site infection, anastomotic leakage, intra-abdominal abscess, and duration of hospital stay, were monitored. Enteral Nutrition: From the start of neoadjuvant therapy until the date of surgery, the study group received a hypercaloric, polymeric oral nutritional product containing 300 kcal and 11.8 g of protein four times daily via the oral route. During outpatient follow-up visits during the neoadjuvant period, patients were asked whether they had used enteral nutrition support. All patients adhered to the prescribed nutritional support. Complete blood counts and comprehensive biochemical measurements were performed on patients before neoadjuvant therapy and before surgery. A prognostic nutrition index was calculated based on these data. Patients were admitted to the operating room after fasting for eight hours prior to surgery. The surgeries were performed by gastroenterology surgeons who were experienced in both minimally invasive and open gastrectomy and who worked in the same clinic. After surgery, all patients were admitted to the surgical intensive care unit. Total parenteral nutrition support was initiated on postoperative day one in patients who underwent total gastrectomy. On postoperative day 5, oral contrast-enhanced computed tomography (CT) was performed, and oral nutrition was initiated in patients without anastomotic leakage. Patients who underwent subtotal gastrectomy did not receive parenteral nutrition support. Oral nutrition was initiated on postoperative day three in clinically stable patients. Vital signs and laboratory parameters were recorded on follow-up forms during intensive care and ward stays. Patients were called for outpatient follow-up 10 days after discharge. Statistics All statistical analyses were performed by using the statistical program, statistical package for the social sciences (SPSS) version 16 for Windows (SPSS, Chicago, IL, USA). Continuous variables were stated as mean ± standard deviation or median (minimum-maximum), where applicable. Mann–Whitney U-test was used for comparing median values, and the mean values were evaluated by student's t-test. Nominal data were compared by Fisher’s exact test or Chi-square test, where suitable and a p-value less than 0.05 was taken into consideration statistically significant. Results A total of 112 patients participated in the study. Of these, 83 were male (74.1%) and 29 were female (25.9%). Due to the death of three patients, one patient withdrawing from the study, and eight patients becoming inoperable following laparotomy in the group receiving neoadjuvant nutrition, the results of 100 patients were analyzed. The mean age of the patients was 60 years old (range 28–78 years old). Patients with an ASA score of IV or higher were excluded from the study. There were no significant differences between the two groups in terms of comorbidities or ASA scores. Laboratory tests performed before and after neoadjuvant treatment showed no statistically significant differences between the two groups in hemoglobin, creatinine, and albumin levels. Of the patients in both groups combined, 72 underwent total gastrectomy and lymph node dissection, and 28 underwent subtotal gastrectomy and lymph node dissection. Of the patients who underwent total gastrectomy, 12 received minimally invasive procedures and the rest underwent open surgical procedures. Among patients who underwent subtotal gastrectomy, nine received minimally invasive procedures and 19 underwent open surgical procedures. The average length of hospital stay was 11.6 days. It was 8.9 days in the study group and 15 days in the control group. This difference was statistically significant (p<0.001). The average length of intensive care unit stay was 6.5 days. It was 6 days in the study group and 7 days in the control group. No statistically significant difference was found. When the results of all patients were analyzed, the total number of complications was 34 (34%). The number of Clavien-Dindo (CD) 1-2 complications was 17 (17%), the number of CD 3 complications was 15 (15%), and the number of CD 5 complications was 2 (2%). No CD 4 complications were observed. These complications, in order of frequency, were wound site infection (17; 17%), intra-abdominal abscess (15; 15%), ileus (8; 8%), pneumonia (8; 8%), anastomotic leak (5; 5%), cellulitis (2; 2%), pulmonary thromboembolism (PTE) (2; 2%), pancreatitis (1; 1%), and duodenal fistula (1; 1%). These results are summarized in Table 1. Of the study group that received nutrition, 36 patients underwent total gastrectomy and lymph node dissection. The other 14 patients underwent subtotal gastrectomy and lymph node dissection. Five of these cases were performed using minimally invasive procedures. Open surgical procedures were used for all patients who underwent total gastrectomy. Eighteen patients (36%) developed complications. These complications included wound site infection (8 patients, or 16%), intra-abdominal abscess (8 patients, or 16%), pneumonia (4 patients, or 8%), ileus (3 patients, or 6%), cellulitis (1 patient, or 2%), and no anastomotic leakage. In the control group, 36 patients underwent total gastrectomy and lymph node dissection; five of these patients underwent minimally invasive procedures. The remaining 14 patients underwent subtotal gastrectomy and lymph node dissection. Sixteen patients (32%) developed complications. The most frequent complications were wound site infection (9; 18%), intra-abdominal abscess (7; 14%), anastomotic leak (5; 10%), ileus (5; 10%), pneumonia (4; 8%), pulmonary thromboembolism (2; 4%), pancreatitis (1; 2%), cellulitis (1; 2%), and duodenal leak (1; 2%). One patient died due to an anastomotic leak and one due to a pulmonary embolism (PTE). No significant difference was observed in the number of patients with total complications between the two groups (32% and 36%, respectively; p=0.65). Duodenal leakage was observed in one patient in the control group, which was not a significant difference between the two groups (p = 0.32). PTE was observed in two patients in the control group. This difference was not considered statistically significant (p = 0.153). One patient in the control group developed pancreatitis; however, this did not constitute a statistically significant difference (p = 0.32). Pneumonia was observed in four patients in both groups (p = 1). Wound site infection was detected in nine patients in the control group and eight patients in the study group (p = 0.79). Cellulitis was observed in one patient in each group (p = 1). Ileus was observed in five patients in the control group and three patients in the study group (p = 0.46). An intra-abdominal abscess was observed in seven patients in the control group and eight patients in the study group (p = 0.779). There was no statistically significant difference between these results. Anastomotic leakage was not observed in the study group but was observed in five patients in the control group. This difference was statistically significant (p<0.001). The important results of the study are summarized in Table 2. Prognostic Nutrition Index: The Prognostic Nutrition Index (PNI) is widely used due to its effectiveness, simplicity, and ease of use. It is calculated using the following formula: 10 × serum albumin value (g/dL) + 0.005 × peripheral blood lymphocyte count. A value below 45 indicates severe malnutrition, while a value of 45 or higher indicates normal nutritional status [4]. In our study, the PNI of the study group was 51.6 before neoadjuvant therapy and 49.6 after treatment. The PNIs of the control group were 52.9 before neoadjuvant therapy and 48.7 after treatment. A greater decrease in PNI was observed in the control group, though it was not statistically significant. Upon evaluating the results of our study, we observed that initiating enteral nutrition during neoadjuvant treatment did not affect the overall complication rate, but it did reduce hospital stay duration and the anastomotic leak rate. Discussion This study examined the impact of preoperative oral enteral nutritional support on postoperative morbidity and hospital length of stay for patients with locally advanced gastric cancer scheduled for neoadjuvant treatment. The findings suggest that patients who received nutritional support experienced several advantages, particularly reduced major surgical complications, such as anastomotic leakage, and a shorter hospital stay. Since the rates of minimally invasive surgery were similar, the difference is thought to be related to the preservation of metabolic reserve and enhancement of the immune response rather than surgical technique. According to the Taiwanese Consensus on Gastric Cancer Nutrition, malnutrition prior to gastrectomy is universally accepted as being associated with increased complications and lower survival rates [ 5 ]. Administering chemotherapy during neoadjuvant treatment, particularly for gastrointestinal tumors, disrupts mucosal integrity. This leads to side effects such as malabsorption, anorexia, and gastrointestinal toxicity. Malnutrition that develops during this process reduces patients' tolerance to chemotherapy, weakens the immune response, and consequently has a negative effect on both treatment efficacy and postoperative outcomes. The literature suggests that providing nutritional support during chemotherapy can reduce these complications. For example, in a study by Hagi et al. of patients with esophageal cancer, a one-week elemental diet started before chemotherapy and continued throughout treatment resulted in a significant decrease in oral mucositis and hematological toxicity, as well as decreased C-reactive protein (CRP) levels [ 6 ]. Similarly, Miyata et al. compared enteral nutrition with total parenteral nutrition in patients undergoing neoadjuvant chemoradiotherapy. They reported that patients receiving enteral support had better preservation of skeletal muscle mass and lower rates of hematological toxicity [ 7 ]. A 2024 INSCOC cohort study showed that enteral nutrition administered to patients with solid organ tumors undergoing systemic chemotherapy significantly improved short-term survival and reduced hospital stays, especially among individuals with high inflammation markers (HR: 0.48) [ 8 ]. This finding is significant because it suggests that nutritional support contributes to prognosis during systemic treatment as well as the postoperative period. It is well-known that preoperative malnutrition increases the risk of surgical complications. According to ESPEN guidelines, nutritional status should be assessed in patients undergoing major abdominal surgery, and nutritional support should be provided for seven to 14 days prior to surgery if malnutrition is detected [ 9 ]. In our study, we extended this duration to approximately three months and administered enteral support products in a hypercaloric, polymeric form. In a prospective cohort study by Bozzetti et al., the rate of wound site infections decreased from 21–11% among patients with advanced gastric cancer who received preoperative nutritional support [ 10 ]. In a randomized controlled trial by Mariette et al., the complication rate decreased from 36–22% in patients who received preoperative support products containing immunonutrition [ 11 ]. Although the product used in our study did not contain immunonutrition, the absence of anastomotic leakage in the intervention group (p < 0.001) suggests that such support may promote tissue repair and the immune response. The significant difference in hospital stay between the groups indicates that enhancing preoperative metabolic reserve facilitates postoperative recovery. This finding is supported by Nishigori et al., who reported that postoperative hospital stays were significantly shorter in patients who received nutritional support [ 12 ]. Upon evaluating the results of our study, we found that the mean PNI value in the study group was 51.6 before neoadjuvant treatment and 49.6 after treatment. In the control group, the respective values were 52.9 and 48.7. Although the decrease in PNI levels was more pronounced in the control group, the difference was not statistically significant. This finding was attributed to the relatively small number of patients in the study. Administering enteral nutritional support during neoadjuvant chemotherapy may contribute to maintaining nutritional parameters, improving treatment tolerance, and enhancing clinical outcomes. In our study, the decrease in PNI values during NACT was more limited in the nutritional support group (decreasing from 51.6 to 49.6), compared to the control group (decreasing from 52.9 to 48.7). While this difference was not statistically significant, it aligns with literature on the positive effects of long-term enteral support. In a randomized study by Miyata et al., patients with esophageal cancer who received neoadjuvant chemotherapy were supported with enteral or parenteral nutrition for approximately six to eight weeks [ 13 ]. This study observed significantly lower rates of hematologic toxicity and muscle mass loss in patients receiving enteral nutrition compared to the parenteral group. In particular, high rates of postoperative complications were reported in patients with low muscle mass. The long-term application of nutritional support throughout the chemotherapy period is consistent with the PNI change dynamics observed in our study. Similarly, Zong et al. found that oral enteral support administered over six weeks of NACT reduced the postoperative inflammatory response and positively affected immunological parameters and gut microbiota in patients with gastric cancer [ 14 ]. This prolonged support regimen aligns with the lower decline in PNI levels observed in our study. This suggests that enteral nutrition should be maintained continuously throughout chemotherapy rather than being limited to short-term administration. In our study, the decrease in PNI values during neoadjuvant therapy was less pronounced in the nutritional support group than in the control group (from 51.6 to 49.6 versus from 52.9 to 48.7). While this difference was not statistically significant, it suggests a potential trend towards preserving nutritional status with long-term enteral support. However, due to the limited sample size and observational design of the study, these findings should be interpreted with caution and no causal relationship can be inferred. Previous studies have demonstrated the benefits of enteral nutrition during chemotherapy in terms of reducing inflammation, preserving immune function, and maintaining muscle mass. While our findings are consistent with these reports, our study did not include direct measurements of inflammatory markers, immunological parameters or functional outcomes. Therefore, any proposed biological mechanisms remain speculative and require further validation through mechanistic or biomarker-driven studies. While the reduction in anastomotic leakage and shorter hospital stays observed in the nutritional support group are promising, they may also be influenced by confounding factors such as patient selection, general health status or unmeasured variables like socioeconomic conditions or home care quality. While our study contributes to the growing body of literature that suggests the effectiveness of nutritional interventions during neoadjuvant therapy, prospective randomised trials with standardised protocols are required to confirm these observations and establish best practices. While our findings suggest that long-term oral nutritional support could potentially reduce anastomotic leakage and shorten hospital stays, these results must be interpreted with caution. Due to the non-randomised design and potential selection bias, it is unclear whether the observed effects are directly attributable to the intervention or influenced by unmeasured confounders, such as patient motivation, baseline health status or adherence to neoadjuvant therapy. The absence of statistically significant differences in overall complication rates emphasises the need for prospective, controlled trials to confirm these observations. Limitations and Bias This study has several important limitations. Firstly, it is a single-centre, non-randomised, retrospective analysis based on voluntary participation, which introduces a high risk of selection bias. Patients who agreed to receive nutritional support may have had better general health, higher treatment motivation or better access to care, all of which are factors that could have influenced outcomes independently of the nutritional intervention. Secondly, while the surgical procedures were performed by the same team, variations in surgical technique (e.g. minimally invasive versus open surgery) were not fully standardised, which may have distorted the results. While the rates of total and subtotal gastrectomy were balanced, subtle differences in intraoperative decision-making could not be controlled for. Thirdly, potential confounding variables such as socioeconomic status, baseline inflammatory profiles, nutritional intake outside the prescribed protocol and adherence to chemotherapy regimens were not measured. These unmeasured variables may have significantly influenced the observed clinical outcomes. Additionally, the lack of blinding during outcome assessment introduces the possibility of observer bias. Since clinical teams were aware of the patient groups when collecting data on complications, subjective assessments (e.g. infection diagnosis or discharge timing) may have been inadvertently biased. Finally, although the Prognostic Nutritional Index (PNI) was used as a marker of nutritional status, no immunological, inflammatory or functional parameters were measured in order to explore mechanistic pathways. Thus, the biological rationale behind the observed benefit remains speculative. A larger, blinded, prospective trial is necessary to validate these findings. Conclusion In our cohort, preoperative long-term oral enteral nutritional support during neoadjuvant therapy in patients with advanced gastric cancer was associated with a shorter postoperative hospital stay and a lower rate of anastomotic leakage. While these findings are promising, they should be interpreted with caution due to the retrospective, non-randomised design of the study and the potential presence of confounding factors. Integrating structured nutritional support into preoperative care protocols could improve outcomes, but further prospective studies are needed to confirm these results. Declarations Ethics Approval: This study commenced after receiving approval from the Ethics Committee of Ankara Bilkent City Hospital on April 12, 2023, with approval number E2-23-3915. Consent to Participate: Written informed consent was obtained from all individual participants included in the study. Funding: The authors did not receive any financial support for the research, authorship, and/or publication of this article. Clinical Trial Number: Not applicable. Human Ethics and Consent to Participate Declarations: The study was conducted in accordance with the Declaration of Helsinki. Ethics approval was obtained from the Ethics Committee of Ankara Bilkent City Hospital, and written informed consent was obtained from all participants. Clinical trial number: not applicable. Data Availability Statement: The datasets generated and/or analysed during the current study are available from the corresponding author on reasonable request. Due to ethical considerations and patient confidentiality, the data are not publicly available. Author Contribution IH wrote the article. MKÇ and EBB reviewed it. VÖ did the statistics. Data Availability The datasets generated and/or analysed during the current study arenot publicly available due to institutional data privacy policies butare available from the corresponding author on reasonable request. References Ferlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer. 2010 Dec 15;127(12):2893-917. doi: 10.1002/ijc.25516. PMID: 21351269. Correia M, Moreira I, Cabral S, Castro C, Cruz A, Magalhães B, Santos LL, Irving SC. Neoadjuvant Gastric Cancer Treatment and Associated Nutritional Critical Domains for the Optimization of Care Pathways: A Systematic Review. Nutrients. 2023 May 9;15(10):2241. doi: 10.3390/nu15102241. Xu R, Chen XD, Ding Z. Perioperative nutrition management for gastric cancer. Nutrition. 2022 Jan;93:111492. doi: 10.1016/j.nut.2021.111492. Epub 2021 Sep 20. PMID: 34655954. Triantafillidis JK, Papakontantinou J, Antonakis P, Konstadoulakis MM, Papalois AE. Enteral Nutrition in Operated-On Gastric Cancer Patients: An Update. Nutrients. 2024 May 27;16(11):1639. doi: 10.3390/nu16111639. PMID: 38892572; PMCID: PMC11174039. Hsu PI, Chuah SK, Lin JT, Huang SW, Lo JC, Rau KM, Chen IS, Hsu HY, Sheu BS, Chang WK, Wu DC. Taiwan nutritional consensus on the nutrition management for gastric cancer patients receiving gastrectomy. J Formos Med Assoc. 2021 Jan;120(1 Pt 1):25-33. doi: 10.1016/j.jfma.2019.11.014. Epub 2019 Dec 16. PMID: 31859187. Hagi T, Matsuda T, Nishimura Y, et al. Nutritional intervention during chemotherapy for esophageal cancer patients reduces oral mucositis and systemic inflammation. Support Care Cancer. 2021;29(3):1473–1481. doi:10.1007/s00520-020-05707-7 Miyata H, Yamasaki M, Kurokawa Y, et al. Enteral versus parenteral nutritional support during chemoradiotherapy in patients with esophageal cancer: A randomized controlled trial. Clin Nutr. 2020;39(10):2990–2996. doi:10.1016/j.clnu.2020.01.003 Liu Z, Liu X, Guo Y, et al. Clinical impact of enteral nutrition in cancer patients with elevated inflammatory markers: data from the INSCOC cohort. Nutrients. 2024;16(4):872. doi:10.3390/nu16040872 Weimann A., Braga M., Carli F., et al. (2021). ESPEN practical guideline: Clinical nutrition in surgery. Clinical Nutrition, 40(7), 4745–4761. Bozzetti F., Mariani L., Lo Vullo S., et al. (2007). Impact of cancer-related malnutrition on surgical outcome. Clinical Nutrition, 26(6), 698–709. Mariette C., De Botton M.L., Piessen G. (2016). Impact of preoperative immunonutrition on postoperative morbidity in patients undergoing surgery for upper gastrointestinal cancer: A randomized controlled trial. The Lancet Oncology, 17(4), 451–462. Nishigori T., Okabe H., Tanaka E., et al. (2016). Preoperative immunonutrition therapy using an oral elemental diet reduces postoperative complications in patients with esophageal cancer: A propensity score-matched analysis. Surgery Today, 46(8), 957–965. Miyata H, Yano M, Yasuda T, Hamano R, Yamasaki M, Hou E, Motoori M, Shiraishi O, Tanaka K, Mori M, Doki Y. Randomized study of clinical effect of enteral nutrition support during neoadjuvant chemotherapy on chemotherapy-related toxicity in patients with esophageal cancer. Clin Nutr. 2012 Jun;31(3):330-6. doi: 10.1016/j.clnu.2011.11.002. Epub 2011 Dec 12. PMID: 22169459. Zong L, Li H, Li S. Effects of neoadjuvant chemotherapy combined with enteral nutrition on perioperative immunity, inflammation and intestinal flora in gastric cancer patients. J BUON. 2019 May-Jun;24(3):1113-1119. PMID: 31424669. Kanda M, Mizuno A, Tanaka C, Kobayashi D, Fujiwara M, Iwata N, Hayashi M, Yamada S, Nakayama G, Fujii T, Sugimoto H, Koike M, Takami H, Niwa Y, Murotani K, Kodera Y. Nutritional predictors for postoperative short-term and long-term outcomes of patients with gastric cancer. Medicine (Baltimore). 2016 Jun;95(24):e3781. doi: 10.1097/MD.0000000000003781. Erratum in: Medicine (Baltimore). 2016 Aug 07;95(31):e5074. doi: 10.1097/01.md.0000490009.39850.74. PMID: 27310954; PMCID: PMC4998440. Tables Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7209081","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":502657649,"identity":"47ef788b-f444-4fbd-943c-579edeaf5d11","order_by":0,"name":"İlkay Halıcıoğlu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6ElEQVRIiWNgGAWjYBACNnY2BgbGBgsGBnbmA0C+hAxhLcxgLRIMDMxsCSAtPIStQWjhMQDxCWvhY2ZL/My7Q0Je3pnn86sbNRY8DOyHj24g4LDD0rxnJAw3HubdZp1zDOgwnrS0G/i1sDdI87ZJJBg2824zzmEDapHgMSOkpfk3RAvPM+Ocf0RpYTsGtkWemYf5cW4bcVrSLOe2SRhuYGYzY87tk+BhI+QX+fY24xtv22zk5dubH3/O+VYnx89++BheLSDABIoLgwMMbBJgewkpBwHGHyDrGhiYPxCjehSMglEwCkYeAAAN4Dq2CoImRAAAAABJRU5ErkJggg==","orcid":"","institution":"Diyarbakır Gazi Yaşargil Training and Research Hospital","correspondingAuthor":true,"prefix":"","firstName":"İlkay","middleName":"","lastName":"Halıcıoğlu","suffix":""},{"id":502657650,"identity":"30ce806a-4e00-46ba-8d1e-2247e68fed1b","order_by":1,"name":"M. Kadri Çolakoğlu","email":"","orcid":"","institution":"Ankara City Hospital Gastroenterological Surgery Clinic","correspondingAuthor":false,"prefix":"","firstName":"M.","middleName":"Kadri","lastName":"Çolakoğlu","suffix":""},{"id":502657651,"identity":"b4480433-8086-4ffd-aa99-5d5110a31961","order_by":2,"name":"Volkan Öter","email":"","orcid":"","institution":"Ankara City Hospital Gastroenterological Surgery Clinic","correspondingAuthor":false,"prefix":"","firstName":"Volkan","middleName":"","lastName":"Öter","suffix":""},{"id":502657652,"identity":"95a1168e-19f2-43f6-8f28-5d6b88ba5dc6","order_by":3,"name":"E. Birol Bostancı","email":"","orcid":"","institution":"Ankara City Hospital Gastroenterological Surgery Clinic","correspondingAuthor":false,"prefix":"","firstName":"E.","middleName":"Birol","lastName":"Bostancı","suffix":""}],"badges":[],"createdAt":"2025-07-25 00:08:06","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7209081/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7209081/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":94254470,"identity":"ebf3342c-d03c-4fda-917a-c98feb449a0a","added_by":"auto","created_at":"2025-10-24 07:32:11","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":450728,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7209081/v1/53f9bcbd-f307-4425-b2d7-3c6b00d6e485.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Feeding the Fight: Can Long-Term Oral Nutrition Reduce Surgical Complications?","fulltext":[{"header":"Introductıon","content":"\u003cp\u003eGastric cancer is one of the most common malignancies worldwide and ranks among the leading causes of cancer-related deaths. It is the fifth most common cancer globally and the fourth leading cause of cancer-related deaths. Approximately 990,000 new cases of stomach cancer are diagnosed worldwide each year, accounting for 4.9% of all cancer cases. In the same year, 738,000 deaths occurred due to stomach cancer [\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e]. The treatment process for this disease typically involves multimodal approaches such as surgical intervention, chemotherapy, and/or radiotherapy. Neoadjuvant therapy is widely used in patients with advanced stomach cancer to reduce tumor size and improve surgical outcomes. However, these treatment protocols can cause significant weight loss, malnutrition, and muscle mass loss, which negatively affect nutritional status. Correria et al. mentioned in their systematic review that chemotherapy causes weight and muscle loss [\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eMalnutrition in patients with stomach cancer is associated with increased treatment-related side effects, reduced treatment compliance, decreased quality of life, and a poor prognosis [\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e]. Symptoms such as mechanical obstruction caused by the tumor, loss of appetite, nausea, and vomiting further increase the risk of malnutrition in these patients. Therefore, assessing patients' nutritional status and providing nutritional support before initiating neoadjuvant therapy in gastric cancer is critical to improving treatment success and reducing treatment-related complications.\u003c/p\u003e\u003cp\u003eStudies evaluating the positive effects of nutritional support on clinical outcomes in cancer patients have increased awareness in this area in recent years. However, the effectiveness of nutritional support prior to neoadjuvant therapy for gastric cancer patients and which patients may benefit most from this support remain unclear.\u003c/p\u003e\u003cp\u003e This article discusses the postoperative outcomes of patients with locally advanced gastric cancer who received nutritional support during neoadjuvant therapy at our clinic.\u003c/p\u003e"},{"header":"Material and Methods","content":"\u003cp\u003ePatients: Between 2023 and 2024, 127 patients with advanced gastric cancer were referred to our outpatient clinic. Fifteen patients were excluded from the study because they were classified as American Society of Anesthesiologists (ASA) class IV during the anesthetic evaluation prior to diagnostic laparoscopy. The remaining 112 patients were recommended for participation in the study group and initiation of nutritional support. Sixty-two patients accepted nutritional support. Of those, three patients died during the neoadjuvant process. One patient declined surgery. Eight patients were deemed inoperable during surgery. The remaining 50 patients were selected as the control group. A power analysis was performed prior to the study. It was determined that 50 patients in each group would be sufficient. Hemoglobin, creatinine, and prognostic nutrition indices (albumin and lymphocytes) were assessed in patients before and after neoadjuvant therapy. Postoperative outcomes, including wound site infection, anastomotic leakage, intra-abdominal abscess, and duration of hospital stay, were monitored.\u003c/p\u003e\u003cp\u003eEnteral Nutrition: From the start of neoadjuvant therapy until the date of surgery, the study group received a hypercaloric, polymeric oral nutritional product containing 300 kcal and 11.8 g of protein four times daily via the oral route. During outpatient follow-up visits during the neoadjuvant period, patients were asked whether they had used enteral nutrition support. All patients adhered to the prescribed nutritional support.\u003c/p\u003e\u003cp\u003eComplete blood counts and comprehensive biochemical measurements were performed on patients before neoadjuvant therapy and before surgery. A prognostic nutrition index was calculated based on these data. Patients were admitted to the operating room after fasting for eight hours prior to surgery. The surgeries were performed by gastroenterology surgeons who were experienced in both minimally invasive and open gastrectomy and who worked in the same clinic. After surgery, all patients were admitted to the surgical intensive care unit. Total parenteral nutrition support was initiated on postoperative day one in patients who underwent total gastrectomy. On postoperative day 5, oral contrast-enhanced computed tomography (CT) was performed, and oral nutrition was initiated in patients without anastomotic leakage. Patients who underwent subtotal gastrectomy did not receive parenteral nutrition support. Oral nutrition was initiated on postoperative day three in clinically stable patients. Vital signs and laboratory parameters were recorded on follow-up forms during intensive care and ward stays. Patients were called for outpatient follow-up 10 days after discharge.\u003c/p\u003e\u003cp\u003eStatistics\u003c/p\u003e\u003cp\u003eAll statistical analyses were performed by using the statistical program, statistical package for the social sciences (SPSS) version 16 for Windows (SPSS, Chicago, IL, USA). Continuous variables were stated as mean\u0026thinsp;\u0026plusmn;\u0026thinsp;standard deviation or median (minimum-maximum), where applicable. Mann\u0026ndash;Whitney U-test was used for comparing median values, and the mean values were evaluated by student's t-test. Nominal data were compared by Fisher\u0026rsquo;s exact test or Chi-square test, where suitable and a p-value less than 0.05 was taken into consideration statistically significant.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eA total of 112 patients participated in the study. Of these, 83 were male (74.1%) and 29 were female (25.9%). Due to the death of three patients, one patient withdrawing from the study, and eight patients becoming inoperable following laparotomy in the group receiving neoadjuvant nutrition, the results of 100 patients were analyzed.\u003c/p\u003e\n\u003cp\u003eThe mean age of the patients was 60 years old (range 28–78 years old). Patients with an ASA score of IV or higher were excluded from the study. There were no significant differences between the two groups in terms of comorbidities or ASA scores. Laboratory tests performed before and after neoadjuvant treatment showed no statistically significant differences between the two groups in hemoglobin, creatinine, and albumin levels.\u003c/p\u003e\n\u003cp\u003eOf the patients in both groups combined, 72 underwent total gastrectomy and lymph node dissection, and 28 underwent subtotal gastrectomy and lymph node dissection. Of the patients who underwent total gastrectomy, 12 received minimally invasive procedures and the rest underwent open surgical procedures. Among patients who underwent subtotal gastrectomy, nine received minimally invasive procedures and 19 underwent open surgical procedures.\u003c/p\u003e\n\u003cp\u003eThe average length of hospital stay was 11.6 days. It was 8.9 days in the study group and 15 days in the control group. This difference was statistically significant (p\u0026lt;0.001). The average length of intensive care unit stay was 6.5 days. It was 6 days in the study group and 7 days in the control group. No statistically significant difference was found.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eWhen the results of all patients were analyzed, the total number of complications was 34 (34%). The number of Clavien-Dindo (CD) 1-2 complications was 17 (17%), the number of CD 3 complications was 15 (15%), and the number of CD 5 complications was 2 (2%). No CD 4 complications were observed. These complications, in order of frequency, were wound site infection (17; 17%), intra-abdominal abscess (15; 15%), ileus (8; 8%), pneumonia (8; 8%), anastomotic leak (5; 5%), cellulitis (2; 2%), pulmonary thromboembolism (PTE) (2; 2%), pancreatitis (1; 1%), and duodenal fistula (1; 1%). These results are summarized in Table 1.\u003c/p\u003e\n\u003cp\u003eOf the study group that received nutrition, 36 patients underwent total gastrectomy and lymph node dissection. The other 14 patients underwent subtotal gastrectomy and lymph node dissection. Five of these cases were performed using minimally invasive procedures. Open surgical procedures were used for all patients who underwent total gastrectomy. Eighteen patients (36%) developed complications. These complications included wound site infection (8 patients, or 16%), intra-abdominal abscess (8 patients, or 16%), pneumonia (4 patients, or 8%), ileus (3 patients, or 6%), cellulitis (1 patient, or 2%), and no anastomotic leakage.\u003c/p\u003e\n\u003cp\u003eIn the control group, 36 patients underwent total gastrectomy and lymph node dissection; five of these patients underwent minimally invasive procedures. The remaining 14 patients underwent subtotal gastrectomy and lymph node dissection. Sixteen patients (32%) developed complications. The most frequent complications were wound site infection (9; 18%), intra-abdominal abscess (7; 14%), anastomotic leak (5; 10%), ileus (5; 10%), pneumonia (4; 8%), pulmonary thromboembolism (2; 4%), pancreatitis (1; 2%), cellulitis (1; 2%), and duodenal leak (1; 2%). One patient died due to an anastomotic leak and one due to a pulmonary embolism (PTE).\u003c/p\u003e\n\u003cp\u003eNo significant difference was observed in the number of patients with total complications between the two groups (32% and 36%, respectively; p=0.65). Duodenal leakage was observed in one patient in the control group, which was not a significant difference between the two groups (p = 0.32). PTE was observed in two patients in the control group. This difference was not considered statistically significant (p = 0.153). One patient in the control group developed pancreatitis; however, this did not constitute a statistically significant difference (p = 0.32). Pneumonia was observed in four patients in both groups (p = 1). Wound site infection was detected in nine patients in the control group and eight patients in the study group (p = 0.79). Cellulitis was observed in one patient in each group (p = 1). Ileus was observed in five patients in the control group and three patients in the study group (p = 0.46). An intra-abdominal abscess was observed in seven patients in the control group and eight patients in the study group (p = 0.779). There was no statistically significant difference between these results. Anastomotic leakage was not observed in the study group but was observed in five patients in the control group. This difference was statistically significant (p\u0026lt;0.001). The important results of the study are summarized in Table 2.\u003c/p\u003e\n\u003cp\u003ePrognostic Nutrition Index:\u003c/p\u003e\n\u003cp\u003eThe Prognostic Nutrition Index (PNI) is widely used due to its effectiveness, simplicity, and ease of use. It is calculated using the following formula: 10 × serum albumin value (g/dL) + 0.005 × peripheral blood lymphocyte count. A value below 45 indicates severe malnutrition, while a value of 45 or higher indicates normal nutritional status [4]. In our study, the PNI of the study group was 51.6 before neoadjuvant therapy and 49.6 after treatment. The PNIs of the control group were 52.9 before neoadjuvant therapy and 48.7 after treatment. A greater decrease in PNI was observed in the control group, though it was not statistically significant.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eUpon evaluating the results of our study, we observed that initiating enteral nutrition during neoadjuvant treatment did not affect the overall complication rate, but it did reduce hospital stay duration and the anastomotic leak rate.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003e This study examined the impact of preoperative oral enteral nutritional support on postoperative morbidity and hospital length of stay for patients with locally advanced gastric cancer scheduled for neoadjuvant treatment. The findings suggest that patients who received nutritional support experienced several advantages, particularly reduced major surgical complications, such as anastomotic leakage, and a shorter hospital stay. Since the rates of minimally invasive surgery were similar, the difference is thought to be related to the preservation of metabolic reserve and enhancement of the immune response rather than surgical technique. According to the Taiwanese Consensus on Gastric Cancer Nutrition, malnutrition prior to gastrectomy is universally accepted as being associated with increased complications and lower survival rates [\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eAdministering chemotherapy during neoadjuvant treatment, particularly for gastrointestinal tumors, disrupts mucosal integrity. This leads to side effects such as malabsorption, anorexia, and gastrointestinal toxicity. Malnutrition that develops during this process reduces patients' tolerance to chemotherapy, weakens the immune response, and consequently has a negative effect on both treatment efficacy and postoperative outcomes.\u003c/p\u003e\u003cp\u003eThe literature suggests that providing nutritional support during chemotherapy can reduce these complications. For example, in a study by Hagi et al. of patients with esophageal cancer, a one-week elemental diet started before chemotherapy and continued throughout treatment resulted in a significant decrease in oral mucositis and hematological toxicity, as well as decreased C-reactive protein (CRP) levels [\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e]. Similarly, Miyata et al. compared enteral nutrition with total parenteral nutrition in patients undergoing neoadjuvant chemoradiotherapy. They reported that patients receiving enteral support had better preservation of skeletal muscle mass and lower rates of hematological toxicity [\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eA 2024 INSCOC cohort study showed that enteral nutrition administered to patients with solid organ tumors undergoing systemic chemotherapy significantly improved short-term survival and reduced hospital stays, especially among individuals with high inflammation markers (HR: 0.48) [\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e]. This finding is significant because it suggests that nutritional support contributes to prognosis during systemic treatment as well as the postoperative period.\u003c/p\u003e\u003cp\u003eIt is well-known that preoperative malnutrition increases the risk of surgical complications. According to ESPEN guidelines, nutritional status should be assessed in patients undergoing major abdominal surgery, and nutritional support should be provided for seven to 14 days prior to surgery if malnutrition is detected [\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e]. In our study, we extended this duration to approximately three months and administered enteral support products in a hypercaloric, polymeric form.\u003c/p\u003e\u003cp\u003eIn a prospective cohort study by Bozzetti et al., the rate of wound site infections decreased from 21\u0026ndash;11% among patients with advanced gastric cancer who received preoperative nutritional support [\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e]. In a randomized controlled trial by Mariette et al., the complication rate decreased from 36\u0026ndash;22% in patients who received preoperative support products containing immunonutrition [\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e]. Although the product used in our study did not contain immunonutrition, the absence of anastomotic leakage in the intervention group (p\u0026thinsp;\u0026lt;\u0026thinsp;0.001) suggests that such support may promote tissue repair and the immune response.\u003c/p\u003e\u003cp\u003eThe significant difference in hospital stay between the groups indicates that enhancing preoperative metabolic reserve facilitates postoperative recovery. This finding is supported by Nishigori et al., who reported that postoperative hospital stays were significantly shorter in patients who received nutritional support [\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e].\u003c/p\u003e\u003cp\u003eUpon evaluating the results of our study, we found that the mean PNI value in the study group was 51.6 before neoadjuvant treatment and 49.6 after treatment. In the control group, the respective values were 52.9 and 48.7. Although the decrease in PNI levels was more pronounced in the control group, the difference was not statistically significant. This finding was attributed to the relatively small number of patients in the study.\u003c/p\u003e\u003cp\u003eAdministering enteral nutritional support during neoadjuvant chemotherapy may contribute to maintaining nutritional parameters, improving treatment tolerance, and enhancing clinical outcomes. In our study, the decrease in PNI values during NACT was more limited in the nutritional support group (decreasing from 51.6 to 49.6), compared to the control group (decreasing from 52.9 to 48.7). While this difference was not statistically significant, it aligns with literature on the positive effects of long-term enteral support.\u003c/p\u003e\u003cp\u003eIn a randomized study by Miyata et al., patients with esophageal cancer who received neoadjuvant chemotherapy were supported with enteral or parenteral nutrition for approximately six to eight weeks [\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e]. This study observed significantly lower rates of hematologic toxicity and muscle mass loss in patients receiving enteral nutrition compared to the parenteral group. In particular, high rates of postoperative complications were reported in patients with low muscle mass. The long-term application of nutritional support throughout the chemotherapy period is consistent with the PNI change dynamics observed in our study.\u003c/p\u003e\u003cp\u003eSimilarly, Zong et al. found that oral enteral support administered over six weeks of NACT reduced the postoperative inflammatory response and positively affected immunological parameters and gut microbiota in patients with gastric cancer [\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e]. This prolonged support regimen aligns with the lower decline in PNI levels observed in our study. This suggests that enteral nutrition should be maintained continuously throughout chemotherapy rather than being limited to short-term administration.\u003c/p\u003e\u003cp\u003eIn our study, the decrease in PNI values during neoadjuvant therapy was less pronounced in the nutritional support group than in the control group (from 51.6 to 49.6 versus from 52.9 to 48.7). While this difference was not statistically significant, it suggests a potential trend towards preserving nutritional status with long-term enteral support. However, due to the limited sample size and observational design of the study, these findings should be interpreted with caution and no causal relationship can be inferred.\u003c/p\u003e\u003cp\u003ePrevious studies have demonstrated the benefits of enteral nutrition during chemotherapy in terms of reducing inflammation, preserving immune function, and maintaining muscle mass. While our findings are consistent with these reports, our study did not include direct measurements of inflammatory markers, immunological parameters or functional outcomes. Therefore, any proposed biological mechanisms remain speculative and require further validation through mechanistic or biomarker-driven studies.\u003c/p\u003e\u003cp\u003eWhile the reduction in anastomotic leakage and shorter hospital stays observed in the nutritional support group are promising, they may also be influenced by confounding factors such as patient selection, general health status or unmeasured variables like socioeconomic conditions or home care quality. While our study contributes to the growing body of literature that suggests the effectiveness of nutritional interventions during neoadjuvant therapy, prospective randomised trials with standardised protocols are required to confirm these observations and establish best practices.\u003c/p\u003e\u003cp\u003eWhile our findings suggest that long-term oral nutritional support could potentially reduce anastomotic leakage and shorten hospital stays, these results must be interpreted with caution. Due to the non-randomised design and potential selection bias, it is unclear whether the observed effects are directly attributable to the intervention or influenced by unmeasured confounders, such as patient motivation, baseline health status or adherence to neoadjuvant therapy. The absence of statistically significant differences in overall complication rates emphasises the need for prospective, controlled trials to confirm these observations.\u003c/p\u003e\u003cp\u003e\u003cb\u003eLimitations and Bias\u003c/b\u003e\u003c/p\u003e\u003cp\u003eThis study has several important limitations. Firstly, it is a single-centre, non-randomised, retrospective analysis based on voluntary participation, which introduces a high risk of selection bias. Patients who agreed to receive nutritional support may have had better general health, higher treatment motivation or better access to care, all of which are factors that could have influenced outcomes independently of the nutritional intervention.\u003c/p\u003e\u003cp\u003eSecondly, while the surgical procedures were performed by the same team, variations in surgical technique (e.g. minimally invasive versus open surgery) were not fully standardised, which may have distorted the results. While the rates of total and subtotal gastrectomy were balanced, subtle differences in intraoperative decision-making could not be controlled for.\u003c/p\u003e\u003cp\u003eThirdly, potential confounding variables such as socioeconomic status, baseline inflammatory profiles, nutritional intake outside the prescribed protocol and adherence to chemotherapy regimens were not measured. These unmeasured variables may have significantly influenced the observed clinical outcomes.\u003c/p\u003e\u003cp\u003eAdditionally, the lack of blinding during outcome assessment introduces the possibility of observer bias. Since clinical teams were aware of the patient groups when collecting data on complications, subjective assessments (e.g. infection diagnosis or discharge timing) may have been inadvertently biased.\u003c/p\u003e\u003cp\u003eFinally, although the Prognostic Nutritional Index (PNI) was used as a marker of nutritional status, no immunological, inflammatory or functional parameters were measured in order to explore mechanistic pathways. Thus, the biological rationale behind the observed benefit remains speculative. A larger, blinded, prospective trial is necessary to validate these findings.\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003eIn our cohort, preoperative long-term oral enteral nutritional support during neoadjuvant therapy in patients with advanced gastric cancer was associated with a shorter postoperative hospital stay and a lower rate of anastomotic leakage. While these findings are promising, they should be interpreted with caution due to the retrospective, non-randomised design of the study and the potential presence of confounding factors. Integrating structured nutritional support into preoperative care protocols could improve outcomes, but further prospective studies are needed to confirm these results.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eEthics Approval:\u003c/strong\u003e\u003cp\u003e This study commenced after receiving approval from the Ethics Committee of Ankara Bilkent City Hospital on April 12, 2023, with approval number E2-23-3915.\u003c/p\u003e\u003c/p\u003e\u003cp\u003e\u003cstrong\u003eConsent to Participate:\u003c/strong\u003e\u003cp\u003e Written informed consent was obtained from all individual participants included in the study.\u003c/p\u003e\u003c/p\u003e\u003ch2\u003eFunding:\u003c/h2\u003e\u003cp\u003eThe authors did not receive any financial support for the research, authorship, and/or publication of this article.\u003c/p\u003e\u003cp\u003eClinical Trial Number: Not applicable.\u003c/p\u003e\u003cp\u003e Human Ethics and Consent to Participate Declarations: The study was conducted in accordance with the Declaration of Helsinki. Ethics approval was obtained from the Ethics Committee of Ankara Bilkent City Hospital, and written informed consent was obtained from all participants. Clinical trial number: not applicable.\u003c/p\u003e\u003cp\u003eData Availability Statement: The datasets generated and/or analysed during the current study are available from the corresponding author on reasonable request. Due to ethical considerations and patient confidentiality, the data are not publicly available.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eIH wrote the article. MK\u0026Ccedil; and EBB reviewed it. V\u0026Ouml; did the statistics.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eThe datasets generated and/or analysed during the current study arenot publicly available due to institutional data privacy policies butare available from the corresponding author on reasonable request.\u003c/p\u003e\n\n\n"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eFerlay J, Shin HR, Bray F, Forman D, Mathers C, Parkin DM. Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008. Int J Cancer. 2010 Dec 15;127(12):2893-917. doi: 10.1002/ijc.25516. PMID: 21351269.\u003c/li\u003e\n\u003cli\u003eCorreia M, Moreira I, Cabral S, Castro C, Cruz A, Magalh\u0026atilde;es B, Santos LL, Irving SC. Neoadjuvant Gastric Cancer Treatment and Associated Nutritional Critical Domains for the Optimization of Care Pathways: A Systematic Review. Nutrients. 2023 May 9;15(10):2241. doi: 10.3390/nu15102241.\u003c/li\u003e\n\u003cli\u003eXu R, Chen XD, Ding Z. Perioperative nutrition management for gastric cancer. Nutrition. 2022 Jan;93:111492. doi: 10.1016/j.nut.2021.111492. Epub 2021 Sep 20. PMID: 34655954.\u003c/li\u003e\n\u003cli\u003eTriantafillidis JK, Papakontantinou J, Antonakis P, Konstadoulakis MM, Papalois AE. Enteral Nutrition in Operated-On Gastric Cancer Patients: An Update. Nutrients. 2024 May 27;16(11):1639. doi: 10.3390/nu16111639. PMID: 38892572; PMCID: PMC11174039.\u003c/li\u003e\n\u003cli\u003eHsu PI, Chuah SK, Lin JT, Huang SW, Lo JC, Rau KM, Chen IS, Hsu HY, Sheu BS, Chang WK, Wu DC. Taiwan nutritional consensus on the nutrition management for gastric cancer patients receiving gastrectomy. J Formos Med Assoc. 2021 Jan;120(1 Pt 1):25-33. doi: 10.1016/j.jfma.2019.11.014. Epub 2019 Dec 16. PMID: 31859187.\u003c/li\u003e\n\u003cli\u003eHagi T, Matsuda T, Nishimura Y, et al. Nutritional intervention during chemotherapy for esophageal cancer patients reduces oral mucositis and systemic inflammation. Support Care Cancer. 2021;29(3):1473\u0026ndash;1481. doi:10.1007/s00520-020-05707-7\u003c/li\u003e\n\u003cli\u003eMiyata H, Yamasaki M, Kurokawa Y, et al. Enteral versus parenteral nutritional support during chemoradiotherapy in patients with esophageal cancer: A randomized controlled trial. Clin Nutr. 2020;39(10):2990\u0026ndash;2996. doi:10.1016/j.clnu.2020.01.003\u003c/li\u003e\n\u003cli\u003eLiu Z, Liu X, Guo Y, et al. Clinical impact of enteral nutrition in cancer patients with elevated inflammatory markers: data from the INSCOC cohort. Nutrients. 2024;16(4):872. doi:10.3390/nu16040872\u003c/li\u003e\n\u003cli\u003eWeimann A., Braga M., Carli F., et al. (2021). ESPEN practical guideline: Clinical nutrition in surgery. Clinical Nutrition, 40(7), 4745\u0026ndash;4761. \u003c/li\u003e\n\u003cli\u003eBozzetti F., Mariani L., Lo Vullo S., et al. (2007). Impact of cancer-related malnutrition on surgical outcome. Clinical Nutrition, 26(6), 698\u0026ndash;709. \u003c/li\u003e\n\u003cli\u003eMariette C., De Botton M.L., Piessen G. (2016). Impact of preoperative immunonutrition on postoperative morbidity in patients undergoing surgery for upper gastrointestinal cancer: A randomized controlled trial. The Lancet Oncology, 17(4), 451\u0026ndash;462. \u003c/li\u003e\n\u003cli\u003eNishigori T., Okabe H., Tanaka E., et al. (2016). Preoperative immunonutrition therapy using an oral elemental diet reduces postoperative complications in patients with esophageal cancer: A propensity score-matched analysis. Surgery Today, 46(8), 957\u0026ndash;965. \u003c/li\u003e\n\u003cli\u003eMiyata H, Yano M, Yasuda T, Hamano R, Yamasaki M, Hou E, Motoori M, Shiraishi O, Tanaka K, Mori M, Doki Y. Randomized study of clinical effect of enteral nutrition support during neoadjuvant chemotherapy on chemotherapy-related toxicity in patients with esophageal cancer. Clin Nutr. 2012 Jun;31(3):330-6. doi: 10.1016/j.clnu.2011.11.002. Epub 2011 Dec 12. PMID: 22169459.\u003c/li\u003e\n\u003cli\u003eZong L, Li H, Li S. Effects of neoadjuvant chemotherapy combined with enteral nutrition on perioperative immunity, inflammation and intestinal flora in gastric cancer patients. J BUON. 2019 May-Jun;24(3):1113-1119. PMID: 31424669.\u003c/li\u003e\n\u003cli\u003eKanda M, Mizuno A, Tanaka C, Kobayashi D, Fujiwara M, Iwata N, Hayashi M, Yamada S, Nakayama G, Fujii T, Sugimoto H, Koike M, Takami H, Niwa Y, Murotani K, Kodera Y. Nutritional predictors for postoperative short-term and long-term outcomes of patients with gastric cancer. Medicine (Baltimore). 2016 Jun;95(24):e3781. doi: 10.1097/MD.0000000000003781. Erratum in: Medicine (Baltimore). 2016 Aug 07;95(31):e5074. doi: 10.1097/01.md.0000490009.39850.74. PMID: 27310954; PMCID: PMC4998440.\u003c/li\u003e\n\u003c/ol\u003e"},{"header":"Tables","content":"\u003cp\u003e\u003cimg 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complications, anastomotic leakage, Prognostic Nutrition Index","lastPublishedDoi":"10.21203/rs.3.rs-7209081/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7209081/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003eBackground\u003c/h2\u003e\u003cp\u003eMalnutrition is a common and detrimental condition in patients with advanced gastric cancer undergoing neoadjuvant therapy. This study aims to evaluate the impact of preoperative long term oral enteral nutrition support on postoperative outcomes in these patients.\u003c/p\u003e\u003ch2\u003eMethods\u003c/h2\u003e\u003cp\u003eBetween 2023 and 2024, 100 patients with locally advanced gastric cancer were retrospectively analyzed. Fifty patients received preoperative oral nutritional support during neoadjuvant therapy, while 50 served as controls. Nutritional status was assessed using the Prognostic Nutrition Index (PNI). Primary outcomes included postoperative complications, hospital length of stay, and anastomotic leakage.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e\u003cp\u003eThe study group had a significantly shorter hospital stay (8.9 vs. 15 days, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001) and no cases of anastomotic leakage compared to the control group (0% vs. 10%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;\u0026lt;\u0026thinsp;0.001). There were no significant differences between groups regarding total complication rates (36% vs. 32%, \u003cem\u003ep\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.65) or other major complications. A greater decrease in PNI was observed in the control group, although this was not statistically significant.\u003c/p\u003e\u003ch2\u003eConclusion\u003c/h2\u003e\u003cp\u003eIn patients with advanced gastric cancer, preoperative oral enteral nutrition support during neoadjuvant therapy was associated with a shorter hospital stay and a lower rate of anastomotic leakage. While these findings are encouraging, they should be interpreted with caution due to the retrospective, non-randomised design of the study. Further prospective studies are needed to confirm these results and support the integration of structured nutritional protocols into clinical guidelines.\u003c/p\u003e","manuscriptTitle":"Feeding the Fight: Can Long-Term Oral Nutrition Reduce Surgical Complications?","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-08-28 11:50:39","doi":"10.21203/rs.3.rs-7209081/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"d14a49cf-e46e-49dd-8fd9-1dbaddcee070","owner":[],"postedDate":"August 28th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":53395756,"name":"Biological sciences/Cancer"},{"id":53395757,"name":"Health sciences/Diseases"},{"id":53395758,"name":"Health sciences/Gastroenterology"},{"id":53395759,"name":"Health sciences/Medical research"},{"id":53395760,"name":"Health sciences/Oncology"}],"tags":[],"updatedAt":"2026-01-17T17:45:49+00:00","versionOfRecord":[],"versionCreatedAt":"2025-08-28 11:50:39","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7209081","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7209081","identity":"rs-7209081","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}