ArticleCancer management and research2020
A New Nomogram Based on Early Postoperative NLR for Predicting Infectious Complications After Gastrectomy.
Article in Cancer management and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 8 citations in OpenAlex.
- Construction and Evaluation of Nomogram Prediction Model for Urinary Tract Infection After Transurethral Bipolar Plasmakinetic Prostatectomy.Risk management and healthcare policy · 2025Article
- Prediction of postoperative infectious complications in elderly patients with colorectal cancer: a study based on improved machine learning.BMC medical informatics and decision making · 2024Article
- Risk factor analysis and nomogram construction of postoperative complications for patients with locally advanced gastric cancer who received neoadjuvant immunotherapy and chemotherapy.Frontiers in medicine · 2024Article
- Comparisons of nutritional status and complications between patients with and without postoperative feeding jejunostomy tube in gastric cancer: a retrospective study.Journal of gastrointestinal oncology · 2023Article
- Effects of Perioperative Inflammatory Response in Cervical Cancer: Laparoscopic versus Open Surgery.Journal of clinical medicine · 2021Article
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Authors and funding
8 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeOur study aimed to construct a visible model to evaluate the risk of infectious complications after gastrectomy.
methodsThe clinical data of 856 patients who underwent gastrectomy were used to retrieve medical records. Univariate and multivariate analyses were performed to correlate early postoperative NLR and operative variables with postoperative complications, and the construction of the nomogram was based on logistic regression. The concordance index and receiver operating characteristic curves were used to evaluate the model performance.
resultsThe postoperative infectious and noninfectious complication rates after gastrectomy were 18.5% (158/856 cases) and 12.3% (105/856 cases) respectively. Postoperative NLR (within 24 h) independently predicted the development of postoperative infectious complication. Multivariate analysis revealed that age, diabetes, body mass index (BMI), intraoperative blood transfusion and postoperative NLR were independent risk factors. The nomogram model showed a good performance in terms of predicting infectious complications after gastrectomy (concordance index=0.718).
conclusionAge, diabetes, BMI, intraoperative blood transfusion and postoperative NLR were independent risk factors of postoperative infectious complications after gastrectomy, and a novel nomogram based on these results can be used to predict postoperative infection and has the advantages of simple application and easy access.
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