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A New Nomogram Based on Early Postoperative NLR for Predicting Infectious Complications After Gastrectomy
Chen Wang1, Han-Zhang Huang1, Yu He1
1Department of Gastrointestinal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, People's Republic of China.
Cancer Management and Research
|February 28, 2020
Summary
A new nomogram model can predict infectious complications after gastrectomy. Key risk factors include age, diabetes, BMI, blood transfusion, and neutrophil-to-lymphocyte ratio (NLR), aiding early intervention.
Area of Science:
- Surgical oncology
- Infectious disease epidemiology
- Predictive modeling in medicine
Background:
- Infectious complications pose a significant risk following gastrectomy.
- Accurate risk assessment is crucial for patient management and outcomes.
Purpose of the Study:
- To develop a predictive model for infectious complications after gastrectomy.
- To identify key risk factors contributing to postoperative infections.
Main Methods:
- Analysis of clinical data from 856 gastrectomy patients.
- Logistic regression used for nomogram construction.
- Evaluation of model performance using concordance index and ROC curves.
Main Results:
- Postoperative infectious complication rate was 18.5%.
- Neutrophil-to-lymphocyte ratio (NLR) within 24 hours independently predicted infectious complications.
- Age, diabetes, BMI, intraoperative blood transfusion, and NLR were identified as independent risk factors.
Conclusions:
- A nomogram incorporating age, diabetes, BMI, blood transfusion, and NLR effectively predicts postoperative infectious complications.
- The developed nomogram is simple to apply and readily accessible for clinical use.
