Abstract

BackgroundThe neutrophil to lymphocyte ratio (NLR) is gaining interest as an independent predictor of survival in patients with various clinical conditions. No study to date has reported an association between inflammation-based prognostic scores, including the Glasgow Prognostic Score (GPS), NLR, platelet to lymphocyte ratio (PLR), Prognostic Nutritional Index (PNI), and Prognostic Index (PI), and mortality in patients with gastrointestinal perforation (GIP). We compared the prognostic value of these measures.FindingsA total of 32 patients with GIP were retrospectively enrolled. Patients were assessed according to the GPS, NLR, PLR, PI, and PNI. Multivariate analyses were performed to identify variables associated with mortality. Receiver operating characteristic (ROC) analyses were also performed. Overall survival rates (in-hospital mortality) were calculated using the Kaplan–Meier method, and differences in survival rates between groups were compared by the log-rank test. Multivariate analysis of significant variables revealed NLR (HR 1.257, 95% CI 1.035–1.527, P = 0.021) and PLR (HR 1.004, 95% CI 1.001–1.007, P = 0.016) at the time of admission to the intensive care unit to be independently associated with in-hospital mortality. AUC analysis revealed Sequential Organ Failure Assessment-Glasgow Coma Scale (SOFA-GCS) (0.73) to be superior to NLR (0.57) and PLR (0.58) for predicting mortality, and a high SOFA-GCS score was associated with reduced overall survival (P < 0.05).ConclusionsNLR and PLR were superior to other inflammation-based prognostic scores in predicting the mortality of patients with GIP.

Highlights

  • The neutrophil to lymphocyte ratio (NLR) is gaining interest as an independent predictor of survival in patients with various clinical conditions

  • Analyses using Cox proportional hazards models were performed by forward selection of variables which were found to be significant by univariate analysis and inflammation-based prognostic scores

  • Receiver operating characteristics (ROC) curves were generated for variables which were significant in the multivariate analysis, and areas under the curve (AUCs), cutoff values, sensitivities, specificities, and predictive values were calculated

Read more

Summary

Introduction

The neutrophil to lymphocyte ratio (NLR) has gained interest as an independent predictor of survival in patients with various clinical conditions, ranging from oncological to cardiovascular diseases. NLR has been reported to predict bacteremia better than other infection markers [1],. No previous study has reported an association between inflammation-based prognostic scores and outcomes in patients with GIP. Shimoyama et al JA Clinical Reports (2017) 3:49 in patients with GIP, as compared with other inflammationbased prognostic scores. To test this hypothesis, we compared the prognostic value of various inflammation-based prognostic scores in patients with GIP

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call