{"title":"The impact of preoperative immunonutritional status on postoperative complications in ovarian cancer.","authors":"Xingyu Liu, Ming Li, Yingjun Zhao, Xiaofei Jiao, Yang Yu, Ruyuan Li, Shaoqing Zeng, Jianhua Chi, Guanchen Ma, Yabing Huo, Zikun Peng, Jiahao Liu, Qi Zhou, Dongling Zou, Li Wang, Qingshui Li, Jing Wang, Shuzhong Yao, Youguo Chen, Ding Ma, Ting Hu, Qinglei Gao","doi":"10.1186/s13048-025-01624-3","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Preoperative immunonutritional status can influence postoperative complications. Malnutrition in ovarian cancer patients diminishes the body's resilience to abdominal surgery, resulting in inferior surgical outcomes and increased postoperative complications. We aim to investigate the effect of preoperative immunonutritional status, including NLR, PLR, LMR, TCLR, FAR, FLR, SII, PNI and CONUT on postoperative complications in epithelial ovarian cancer (EOC) in a large population.</p><p><strong>Methods: </strong>A multicenter real-world study included 922 patients with histologically confirmed EOC who received comprehensive staged surgery or debulking surgery at seven tertiary hospitals in China between 2012 and 2023. Logistic regression and Lasso regression analyses were employed to identify variables associated with postoperative complications. A predictive nomogram model was developed based on multivariate modeling.</p><p><strong>Results: </strong>The study included a total of 922 patients diagnosed with epithelial ovarian cancer across seven medical centers with 565 (61.3%) patients experiencing postoperative complications. Significant differences were found in the distribution of inflammatory and nutritional risk indicators, including NLR, PLR, LMR, TCLR, FAR, FLR, SII, PNI and CONUT between the two groups (all P < 0.01). A multivariable model identified several predictive factors for postoperative complications: PNI > 46.73 (odds ratio [OR] = 0.49, P < 0.001), FAR > 10.77 (OR = 1.60, P = 0.019), LMR > 3.70 (OR = 0.68, P = 0.044), hydrothorax (OR = 2.60, P = 0.005), laparoscopy (OR = 0.59, P = 0.010 vs. laparotomy), enterectomy (OR = 2.50, P = 0.001).</p><p><strong>Conclusion: </strong>Poor immunonutritional status can increase the risk of postoperative complications. These findings suggest that prompt nutritional interventions may reduce the incidence of postoperative complications and improve surgical outcomes. The risk prediction model, including PNI, FAR, LMR, hydrothorax, laparoscopy vs. laparotomy, and enterectomy, might facilitate patient-centered decision-making and risk stratification.</p><p><strong>Clinical trial registration: </strong>The study was registered in the Clinical trial registry: NCT06483399. ( https://clinicaltrials.gov/study/NCT06483399 ).</p>","PeriodicalId":16610,"journal":{"name":"Journal of Ovarian Research","volume":"18 1","pages":"88"},"PeriodicalIF":3.8000,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12038932/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Ovarian Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s13048-025-01624-3","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"REPRODUCTIVE BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Preoperative immunonutritional status can influence postoperative complications. Malnutrition in ovarian cancer patients diminishes the body's resilience to abdominal surgery, resulting in inferior surgical outcomes and increased postoperative complications. We aim to investigate the effect of preoperative immunonutritional status, including NLR, PLR, LMR, TCLR, FAR, FLR, SII, PNI and CONUT on postoperative complications in epithelial ovarian cancer (EOC) in a large population.
Methods: A multicenter real-world study included 922 patients with histologically confirmed EOC who received comprehensive staged surgery or debulking surgery at seven tertiary hospitals in China between 2012 and 2023. Logistic regression and Lasso regression analyses were employed to identify variables associated with postoperative complications. A predictive nomogram model was developed based on multivariate modeling.
Results: The study included a total of 922 patients diagnosed with epithelial ovarian cancer across seven medical centers with 565 (61.3%) patients experiencing postoperative complications. Significant differences were found in the distribution of inflammatory and nutritional risk indicators, including NLR, PLR, LMR, TCLR, FAR, FLR, SII, PNI and CONUT between the two groups (all P < 0.01). A multivariable model identified several predictive factors for postoperative complications: PNI > 46.73 (odds ratio [OR] = 0.49, P < 0.001), FAR > 10.77 (OR = 1.60, P = 0.019), LMR > 3.70 (OR = 0.68, P = 0.044), hydrothorax (OR = 2.60, P = 0.005), laparoscopy (OR = 0.59, P = 0.010 vs. laparotomy), enterectomy (OR = 2.50, P = 0.001).
Conclusion: Poor immunonutritional status can increase the risk of postoperative complications. These findings suggest that prompt nutritional interventions may reduce the incidence of postoperative complications and improve surgical outcomes. The risk prediction model, including PNI, FAR, LMR, hydrothorax, laparoscopy vs. laparotomy, and enterectomy, might facilitate patient-centered decision-making and risk stratification.
Clinical trial registration: The study was registered in the Clinical trial registry: NCT06483399. ( https://clinicaltrials.gov/study/NCT06483399 ).
期刊介绍:
Journal of Ovarian Research is an open access, peer reviewed, online journal that aims to provide a forum for high-quality basic and clinical research on ovarian function, abnormalities, and cancer. The journal focuses on research that provides new insights into ovarian functions as well as prevention and treatment of diseases afflicting the organ.
Topical areas include, but are not restricted to:
Ovary development, hormone secretion and regulation
Follicle growth and ovulation
Infertility and Polycystic ovarian syndrome
Regulation of pituitary and other biological functions by ovarian hormones
Ovarian cancer, its prevention, diagnosis and treatment
Drug development and screening
Role of stem cells in ovary development and function.