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Yu Z, Sun Y, Gao Y, Zhao X, Ye J, Li P, Liu N. Gastrointestinal Fistula in Radical Distal Gastrectomy: Case-Control Study from a High-Volume Hospital. J Laparoendosc Adv Surg Tech A 2023; 33:1154-1161. [PMID: 37844093 DOI: 10.1089/lap.2023.0259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2023] Open
Abstract
Background: Postoperative gastrointestinal fistula (PGF) is one of the main causes of abdominal infection and perioperative death. This study was designed to investigate the risk factors of PGF, anastomotic fistula (AF), and duodenal stump fistula (DSF) for patients who underwent radical distal gastrectomy. Materials and Methods: In this retrospective observational study, 2652 gastric cancer cases who received radical distal gastrectomy from 2010 to 2020 were selected as research subjects. Subsequently, we adopted the univariate and multivariate logistic regression analysis as statistical method to screen the risk factors for PGF, AF, and DSF, respectively. Results: In univariate analysis, gender (P = .022), operative time (P = .013), intraoperative blood loss (P < .001), tumor diameter (P = .002), and tumor stage (P < .001) were related to PGF. Multivariate logistic regression analysis identified the male (odds ratio [OR] = 2.691, P = .042), massive intraoperative hemorrhage (OR = 1.002, P = .008), and advanced tumor (OR = 2.522, P = .019) as independent predictors for PGF. Moreover, diabetes (OR = 4.497, P = .008) and massive intraoperative hemorrhage (OR = 1.003, P = .010) were proved to be associated with AF, while massive intraoperative hemorrhage (OR = 1.001, P = .050) and advanced tumor (OR = 6.485, P = .005) were independent risk factors of DSF. Conclusions: The gender, intraoperative hemorrhage, tumor stage, and diabetes were expected to be used as predictors of PGF for radical distal gastrectomy.
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Affiliation(s)
- Zhiyuan Yu
- School of Medicine, Nankai University, Tianjin, China
- Medical School of Chinese PLA, Beijing, China
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Yan Sun
- Department of General Surgery, Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yunhe Gao
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Xudong Zhao
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Jiahu Ye
- Outpatient Department of Hongshankou, Jingbei Medical District, Chinese PLA General Hospital, Beijing, China
| | - Peiyu Li
- School of Medicine, Nankai University, Tianjin, China
- Medical School of Chinese PLA, Beijing, China
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Beijing, China
| | - Na Liu
- Medical School of Chinese PLA, Beijing, China
- Department of General Surgery, The First Medical Center, Chinese PLA General Hospital, Beijing, China
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Suter B, Anthis AHC, Zehnder A, Mergen V, Rosendorf J, Gerken LRH, Schlegel AA, Korcakova E, Liska V, Herrmann IK. Surgical Sealant with Integrated Shape-Morphing Dual Modality Ultrasound and Computed Tomography Sensors for Gastric Leak Detection. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2301207. [PMID: 37276437 PMCID: PMC10427398 DOI: 10.1002/advs.202301207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 04/26/2023] [Indexed: 06/07/2023]
Abstract
Postoperative anastomotic leaks are the most feared complications after gastric surgery. For diagnostics clinicians mostly rely on clinical symptoms such as fever and tachycardia, often developing as a result of an already fully developed, i.e., symptomatic, surgical leak. A gastric fluid responsive, dual modality, electronic-free, leak sensor system integrable into surgical adhesive suture support materials is introduced. Leak sensors contain high atomic number carbonates embedded in a polyacrylamide matrix, that upon exposure to gastric fluid convert into gaseous carbon dioxide (CO2 ). CO2 bubbles remain entrapped in the hydrogel matrix, leading to a distinctly increased echogenic contrast detectable by a low-cost and portable ultrasound transducer, while the dissolution of the carbonate species and the resulting diffusion of the cation produces a markedly reduced contrast in computed tomography imaging. The sensing elements can be patterned into a variety of characteristic shapes and can be combined with nonreactive tantalum oxide reference elements, allowing the design of shape-morphing sensing elements visible to the naked eye as well as artificial intelligence-assisted automated detection. In summary, shape-morphing dual modality sensors for the early and robust detection of postoperative complications at deep tissue sites, opening new routes for postoperative patient surveillance using existing hospital infrastructure is reported.
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Affiliation(s)
- Benjamin Suter
- Nanoparticle Systems Engineering LaboratoryInstitute of Energy and Process Engineering (IEPE)Department of Mechanical and Process Engineering (D‐MAVT)ETH ZurichSonneggstrasse 3Zürich8092Switzerland
- Particles‐Biology InteractionsDepartment of Materials Meet LifeSwiss Federal Laboratories for Materials Science and Technology (Empa)Lerchenfeldstrasse 5St. Gallen9014Switzerland
| | - Alexandre H. C. Anthis
- Nanoparticle Systems Engineering LaboratoryInstitute of Energy and Process Engineering (IEPE)Department of Mechanical and Process Engineering (D‐MAVT)ETH ZurichSonneggstrasse 3Zürich8092Switzerland
- Particles‐Biology InteractionsDepartment of Materials Meet LifeSwiss Federal Laboratories for Materials Science and Technology (Empa)Lerchenfeldstrasse 5St. Gallen9014Switzerland
| | - Anna‐Katharina Zehnder
- Nanoparticle Systems Engineering LaboratoryInstitute of Energy and Process Engineering (IEPE)Department of Mechanical and Process Engineering (D‐MAVT)ETH ZurichSonneggstrasse 3Zürich8092Switzerland
| | - Victor Mergen
- Diagnostic and Interventional RadiologyUniversity Hospital ZurichUniversity of ZurichRämistrasse 100Zürich8091Switzerland
| | - Jachym Rosendorf
- Department of SurgeryFaculty of Medicine in PilsenCharles UniversityAlej Svobody 923/80Pilsen32300Czech Republic
- Biomedical CenterFaculty of Medicine in PilsenCharles UniversityAlej Svobody 1655/76Pilsen32300Czech Republic
| | - Lukas R. H. Gerken
- Nanoparticle Systems Engineering LaboratoryInstitute of Energy and Process Engineering (IEPE)Department of Mechanical and Process Engineering (D‐MAVT)ETH ZurichSonneggstrasse 3Zürich8092Switzerland
- Particles‐Biology InteractionsDepartment of Materials Meet LifeSwiss Federal Laboratories for Materials Science and Technology (Empa)Lerchenfeldstrasse 5St. Gallen9014Switzerland
| | - Andrea A. Schlegel
- Department of Surgery and TransplantationSwiss HPB CentreUniversity Hospital ZurichRämistrasse 100Zurich8091Switzerland
- Fondazione IRCCS Ca' GrandaOspedale Maggiore PoliclinicoCentre of Preclinical ResearchMilan20122Italy
- Transplantation Center, Digestive Disease and Surgery Institute and Department of Immunity and Inflammation, Lerner Research InstituteCleveland Clinic9620 Carnegie AveClevelandOH44106United States
| | - Eva Korcakova
- Biomedical CenterFaculty of Medicine in PilsenCharles UniversityAlej Svobody 1655/76Pilsen32300Czech Republic
- Department of Imaging MethodsFaculty of Medicine in Pilsen, Charles UniversityAlej Svobody 80Pilsen30460Czech Republic
| | - Vaclav Liska
- Department of SurgeryFaculty of Medicine in PilsenCharles UniversityAlej Svobody 923/80Pilsen32300Czech Republic
- Biomedical CenterFaculty of Medicine in PilsenCharles UniversityAlej Svobody 1655/76Pilsen32300Czech Republic
| | - Inge K. Herrmann
- Nanoparticle Systems Engineering LaboratoryInstitute of Energy and Process Engineering (IEPE)Department of Mechanical and Process Engineering (D‐MAVT)ETH ZurichSonneggstrasse 3Zürich8092Switzerland
- Particles‐Biology InteractionsDepartment of Materials Meet LifeSwiss Federal Laboratories for Materials Science and Technology (Empa)Lerchenfeldstrasse 5St. Gallen9014Switzerland
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Ozata IH, Bozkurt E, Sucu S, Karahan SN, Camci F, Cetin F, Ozoran E, Agcaoglu O, Balik E, Bugra D. A novel scoring system for the early detection of anastomotic leakage: bedside leak score-a pilot study. Front Surg 2023; 10:1204785. [PMID: 37601530 PMCID: PMC10434221 DOI: 10.3389/fsurg.2023.1204785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Accepted: 07/12/2023] [Indexed: 08/22/2023] Open
Abstract
Background Anastomotic leakage is a major complication in colorectal surgery, resulting in significant morbidity and mortality rates. Despite substantial progress in surgical technique, anastomotic leakage rates remain stable. An early diagnosis of anastomotic leaks was proven to reduce adverse outcomes and improve survival. Objective This study aims to find a novel scoring system for detecting anastomotic leaks using inflammatory and nutritional indicators after colorectal surgery. Our purpose was to analyze the diagnostic accuracy of leak scores ( ( CRP POD 3 ) ( CRP POD 1 ) ∗ preoperative albumin level ) in predicting postoperative complications. Design The study included colorectal cancer patients who underwent curative surgery at Koc University Hospital between 2014 and 2018. Patients were categorized into two groups depending on the presence of anastomotic leaks and compared in terms of preoperative albumin levels, CRP levels in postoperative days 1 and 3, anastomotic leakage rates, length of hospital stay, and CRP quotient, which was calculated by dividing POD 3 CRP level to POD 1 CRP level. The bedside leak score is calculated by dividing the CRP quotient by the preoperative albumin level. The predictive value of bedside leak score, CRP quotient, and preoperative albumin levels in estimating anastomotic leakage was analyzed, and a cutoff value for the leak score was calculated. Results A total of 184 patients were included in the study. The leak score, CRP POD 3-1 ratio, and preoperative albumin levels were found to successfully detect anastomotic leakage. The area under the curve for the leak score was calculated as 0.78. The optimal cutoff value was found to be 50.3 for the bedside leak score, which shows 90.9% sensitivity and 59.3% specificity. Conclusion The leak score may represent a valuable diagnostic tool for detecting patients at risk for anastomotic leakage after colorectal surgery and planning a better strategy to reduce morbidity and mortality rates and associated costs. However, further multicenter studies with large cohorts are necessary to confirm these results.
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Affiliation(s)
- Ibrahim H. Ozata
- Department of General Surgery, Koç University School of Medicine, Istanbul, Turkey
| | - Emre Bozkurt
- Department of General Surgery, Koç University School of Medicine, Istanbul, Turkey
| | - Serkan Sucu
- Department of General Surgery, Koç University School of Medicine, Istanbul, Turkey
| | - Salih N. Karahan
- Department of General Surgery, Koç University School of Medicine, Istanbul, Turkey
| | - Furkan Camci
- Koc University School of Medicine, Istanbul, Turkey
| | - Feyza Cetin
- Department of General Surgery, Koç University School of Medicine, Istanbul, Turkey
| | - Emre Ozoran
- Department of General Surgery, Koç University School of Medicine, Istanbul, Turkey
| | - Orhan Agcaoglu
- Department of General Surgery, Koç University School of Medicine, Istanbul, Turkey
| | - Emre Balik
- Department of General Surgery, Koç University School of Medicine, Istanbul, Turkey
| | - Dursun Bugra
- Department of General Surgery, Koç University School of Medicine, Istanbul, Turkey
- Department of General Surgery, VKV American Hospital, Istanbul, Turkey
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Pang HY, Chen LH, Chen XF, Yan MH, Chen ZX, Sun H. Prophylactic drainage versus non-drainage following gastric cancer surgery: a meta-analysis of randomized controlled trials and observational studies. World J Surg Oncol 2023; 21:166. [PMID: 37270519 DOI: 10.1186/s12957-023-03054-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 05/26/2023] [Indexed: 06/05/2023] Open
Abstract
BACKGROUND The role of prophylactic drainage (PD) in gastrectomy for gastric cancer (GC) is not well-established. The purpose of this study is to compare the perioperative outcomes between the PD and non-drainage (ND) in GC patients undergoing gastrectomy. METHODS A systematic review of electronic databases including PubMed, Embase, Web of Science, the Cochrane Library, and China National Knowledge Infrastructure was performed up to December 2022. All eligible randomized controlled trials (RCTs) and observational studies were included and meta-analyzed separately. The registration number of this protocol is PROSPERO CRD42022371102. RESULTS Overall, 7 RCTs (783 patients) and 14 observational studies (4359 patients) were ultimately included. Data from RCTs indicated that patients in the ND group had a lower total complications rate (OR = 0.68; 95%CI:0.47-0.98; P = 0.04; I2 = 0%), earlier time to soft diet (MD = - 0.27; 95%CI: - 0.55 to 0.00; P = 0.05; I2 = 0%) and shorter length of hospital stay (MD = - 0.98; 95%CI: - 1.71 to - 0.26; P = 0.007; I2 = 40%). While other outcomes including anastomotic leakage, duodenal stump leakage, pancreatic leakage, intra-abdominal abscess, surgical-site infection, pulmonary infection, need for additional drainage, reoperation rate, readmission rate, and mortality were not significantly different between the two groups. Meta-analyses on observational studies showed good agreement with the pooled results from RCTs, with higher statistical power. CONCLUSION The present meta-analysis suggests that routine use of PD may not be necessary and even harmful in GC patients following gastrectomy. However, well-designed RCTs with risk-stratified randomization are still needed to validate the results of our study.
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Affiliation(s)
- Hua-Yang Pang
- Gastrointestinal Cancer Center, Chongqing University Cancer Hospital, Chongqing, China
- Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing, China
| | - Li-Hui Chen
- Gastrointestinal Cancer Center, Chongqing University Cancer Hospital, Chongqing, China
| | - Xiu-Feng Chen
- Gastrointestinal Cancer Center, Chongqing University Cancer Hospital, Chongqing, China
| | - Meng-Hua Yan
- Gastrointestinal Cancer Center, Chongqing University Cancer Hospital, Chongqing, China
| | - Zhi-Xiong Chen
- Gastrointestinal Cancer Center, Chongqing University Cancer Hospital, Chongqing, China
| | - Hao Sun
- Gastrointestinal Cancer Center, Chongqing University Cancer Hospital, Chongqing, China.
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Carboni F, Valle M. Letter to Editor of Annals of Surgical Oncology Concerning "Early Diagnosis of Anastomotic Leakage after Gastric Cancer Surgery via Analysis of Inflammatory Factors in Abdominal Drainage". Ann Surg Oncol 2022; 29:5107-5108. [PMID: 35296976 DOI: 10.1245/s10434-022-11612-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 02/22/2022] [Indexed: 11/18/2022]
Affiliation(s)
- Fabio Carboni
- IRCCS, Regina Elena National Cancer Institute, Peritoneal Neoplasms Unit, Rome, Italy.
| | - Mario Valle
- IRCCS, Regina Elena National Cancer Institute, Peritoneal Neoplasms Unit, Rome, Italy
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Shi J, Wu Z, Wu X, Shan F, Zhang Y, Ying X, Li Z, Ji J. OUP accepted manuscript. BJS Open 2022; 6:6601284. [PMID: 35657137 PMCID: PMC9165091 DOI: 10.1093/bjsopen/zrac069] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2021] [Revised: 04/13/2022] [Accepted: 04/13/2022] [Indexed: 12/03/2022] Open
Abstract
Background Anastomotic leakage (AL) is a severe complication after colorectal surgery. This study aimed to investigate a method for the early diagnosis of AL after surgical resection by analysing inflammatory factors (IFs) in peritoneal drainage fluid. Methods Abdominal drainage fluid of patients with colorectal cancer who underwent resection between April 2017 and April 2018, were prospectively collected in the postoperative interval. Six IFs, including interleukin (IL)-1β, IL-6, IL-10, tumour necrosis factor (TNF)-α, matrix metalloproteinase (MMP)2, and MMP9, in drainage were determined by multiplex immunoassay to investigate AL (in patients undergoing resection and anastomosis) and pelvic collection (in patients undergoing abdominoperineal resection). Sparreboom and colleagues’ prediction model was first evaluated for AL/pelvic collection, followed by a new IF-based score system (AScore) that was developed by a least absolute shrinkage and selection operator (LASSO) regression, for the same outcomes. The model performance was tested for the area under the curve (AUC), sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV). Results Out of 123 patients eligible, 119 patients were selected, including 12 patients with AL/pelvic collection. Sparreboom and colleagues’ prediction model was documented with the best diagnostic efficacy on postoperative day 3 (POD3), with an AUC of 0.77. After optimization, AScore on POD3 increased the AUC to 0.83 and on POD1 showed the best diagnostic efficiency, with an AUC of 0.88. Based on the Youden index, the cut-off value of AScore on POD1 was set as −2.46 to stratify patients into low-risk and high-risk groups for AL/pelvic collection. The model showed 90.0 per cent sensitivity, 69.7 per cent specificity, 98.4 per cent NPV, and 25.0 per cent PPV. Conclusions The early determination of IFs in abdominal drainage fluid of patients undergoing colorectal surgery could be useful to predict AL or pelvic collection.
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Affiliation(s)
- Jinyao Shi
- Gastrointestinal Cancer Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, P.R. China
| | - Zhouqiao Wu
- Gastrointestinal Cancer Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, P.R. China
| | - Xiaolong Wu
- Gastrointestinal Cancer Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, P.R. China
| | - Fei Shan
- Gastrointestinal Cancer Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, P.R. China
| | - Yan Zhang
- Gastrointestinal Cancer Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, P.R. China
| | - Xiangji Ying
- Gastrointestinal Cancer Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, P.R. China
| | - Ziyu Li
- Gastrointestinal Cancer Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, P.R. China
- Correspondence to: Ziyu Li, Gastrointestinal Cancer Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, No. 52 Fu-Cheng Road, Hai-Dian District, Beijing 100142, P.R. China (e-mail: ); Jiafu Ji, Gastrointestinal Cancer Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, No. 52 Fu-Cheng Road, Hai-Dian District, Beijing 100142, P.R. China (e-mail: )
| | - Jiafu Ji
- Gastrointestinal Cancer Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, P.R. China
- Correspondence to: Ziyu Li, Gastrointestinal Cancer Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, No. 52 Fu-Cheng Road, Hai-Dian District, Beijing 100142, P.R. China (e-mail: ); Jiafu Ji, Gastrointestinal Cancer Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, No. 52 Fu-Cheng Road, Hai-Dian District, Beijing 100142, P.R. China (e-mail: )
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Dan Zeng CD, Tong YX, Xiao AT, Gao C, Zhang S. Peripheral Lymphocyte Subsets Absolute Counts as Feasible Clinical Markers for Predicting Surgical Outcome in Gastric Cancer Patients After Laparoscopic D2 Gastrectomy: A Prospective Cohort Study. J Inflamm Res 2021; 14:5633-5646. [PMID: 34744447 PMCID: PMC8565983 DOI: 10.2147/jir.s335847] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 10/15/2021] [Indexed: 12/14/2022] Open
Abstract
Background Immune function influenced patients’ recovery from major abdominal surgery. The aim of this study is to explore the clinical feasibility of peripheral lymphocyte absolute counts for predicting short-term surgical outcomes in gastric cancer patients after laparoscopic D2 gastrectomy. Methods This is a prospective cohort study from a single tertiary referral hospital. Patients diagnosed with gastric cancer who met the inclusion criteria were included in this study. We collected the demographic and clinicopathological characteristics of included patients. We monitored perioperative dynamics of absolute counts of peripheral lymphocyte subsets. Predictive factors for length of postoperative hospital stay and complications were investigated in univariate and multivariate analyses. Results A total of 137 gastric cancer patients were included. Decreased preoperative absolute counts of peripheral lymphocyte subsets were correlated with advanced clinical stage. In multivariate analysis, independent predictive factors for prolonged hospital stay were age (p=0.04), decreased preoperative B cell counts (p=0.05), decreased preoperative NK cell counts (p=0.05) and complications (p<0.01). For postoperative complication, independent predictive factors were age (p=0.02), operation time (p=0.05), lymphocyte to C-reactive protein ratio (p=0.01) and decreased preoperative B cell counts (p=0.01). Conclusion Our findings for the first time revealed that absolute counts of peripheral lymphocyte subsets are independent predictive factors for surgical outcomes in gastric cancer patients after D2 gastrectomy. We suggested that patients with impaired immune state should receive both preoperative immune modulator and nutritional support.
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Affiliation(s)
- Ci Dian Dan Zeng
- Department of Gastrointestinal Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Yi Xin Tong
- Department of Gastrointestinal Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Ai Tang Xiao
- Department of Gastrointestinal Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Chun Gao
- Department of Gastrointestinal Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Sheng Zhang
- Department of Gastrointestinal Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
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