Predictors of mortality and morbidity in soft tissue infections of the lower limb: A Prospective nested case control study

Vijayan, P (2014) Predictors of mortality and morbidity in soft tissue infections of the lower limb: A Prospective nested case control study. Masters thesis, Christian Medical College, Vellore.

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Abstract

OBJECTIVES: To assess the various parameters that predicts the mortality and morbidity in patients with soft tissue infections of the lower limb. METHODS: A nested case control study was designed with a sample size of fifty five in each arm. Patients were recruited and based on the outcome they were grouped under one of the two arms: non mortality, non morbidity arm and mortality, morbidity arm. From the data collected, univariate and multivariate analysis were done to find significant variables predicting mortality and morbidity. RESULTS: The significant variables that predict morbidity in patients with soft tissue infections are neutrophilia, low sodium and elevated temperature at presentation. The significant variables that predict mortality in patients with soft tissue infections are diabetes mellitus, requirement of ventilator support and requirement of dialysis. CONCLUSIONS: The significant variables that predict morbidity in patients with soft tissue infections are 1. Neutrophilia in differential count with a p value of 0.079. 2. Low sodium with a p value of 0.008. 3. Elevated temperature at presentation with a p value of 0.029. The significant variables that predict mortality in patients with soft tissue infections are 1. Diabetes mellitus as a co morbid illness with a p value of 0.014. 2. Requirement of ventilator support with a p value of 0.000. 3. Requirement of dialysis with a p value of 0.026.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Predictors, soft tissue infections, mortality, morbidity, lower limb.
Subjects: MEDICAL > General Surgery
Depositing User: Devi S
Date Deposited: 21 Mar 2020 17:18
Last Modified: 21 Mar 2020 17:18
URI: http://repository-tnmgrmu.ac.in/id/eprint/12405

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