Descriptive and correlational study of the epidemiological, clinical and etiological characteristics of peritonitis in the surgical department of the HUEH during the period from January 2013 to December 2018: A protocol study

Abstract

Introduction

Generalized secondary peritonitis is one of the most common emergencies encountered in surgical departments with a mortality of up to 20%. While early prognostic assessment of peritonitis is essential for the objective classification of the severity of the disease, the late presentation of the majority of patients to health facilities affects this situation, further complicating effective management and promoting the occurrence of complications. In Haiti, few studies on surgical pathologies are available, and with regard to peritonitis, only two thesis works have been listed on the subject. This study aims to: explore the demographic, clinical and etiological characteristics of peritonitis in the main referral hospital in the metropolitan region of the Haiti, and evaluate the main delays and its relationship with the severity of the disease by measuring the MPI score.

Methodology

It is a correlational descriptive study, retrospectively carried out over a period of 6 years, from January 2013 to December 2018 in the surgical department of the Hospital of the State University of Haiti. The study population is composed of all patients diagnosed, hospitalized and operated on in the peritonitis ward during the study period Pearson's correlation with α < 0.05 was used as the significance threshold and the correlation of complications and duration of management by Spearman's correlation to assess the relationship between sex, age group, complications and length of hospital stay. A multiple linear regression will be done for the most significant correlations. The comparison of the means was made by the Z test, with α < 0.05 as the significance threshold, and the student T test for variables with two modalities such as complication. The ANOVA test was used to cross-reference dependent and independent variables with more than 2 modalities, and the Pearson chi-square test for qualitative variables with etiological and demographic diagnoses.