FREQUENCY AND PREDICTORS OF READMISSION OF SEPSIS PATIENTS AT TERTIARY CARE HOSPITAL KARACHI
Main Article Content
Keywords
Comorbidity, Predictors, Readmission, Sepsis
Abstract
Introduction: Sepsis presents a significant healthcare challenge globally, marked by high morbidity and mortality rates. However, a less-explored aspect is patient readmission after initial discharge. Survivors of sepsis may face complications, requiring further hospitalization. Analyzing patient demographics, clinical factors, comorbidities, and healthcare interventions, this research aims to inform local healthcare practices, contribute to sepsis management strategies, and enhance patient outcomes while reducing healthcare costs.
Objective: To determine the frequency and predictors of readmission of sepsis patients at tertiary care hospital Karachi.
Material & Methods: This particular cross-sectional investigation, carried out within the framework of the study at Ziauddin Hospital, Karachi, from January to December 2020, included 200 patients via consecutive sampling. Inclusion criteria encompassed patients aged 18-80, readmitted within 30 days after initial sepsis hospitalization, with specific medical conditions and positive cultures. Blood samples collected were used to evaluate readmission predictors, including comorbidities (DM, COPD, CHF, CLD, CKD, malignancy, HIV). Data was analyzed using SPSS version 26.
Results: The mean ± SD of age was 59.64 ±16.60 years. Gender distribution showed 55% male and 45% female participants. Patients with diabetes had a lower readmission rate (31.7%) than those without diabetes (47.9%), indicating statistical significance, with a p-value of 0.034. However, the presence of chronic obstructive pulmonary disease (COPD) didn't significantly affect readmission rates (p = 0.444). Additionally, chronic heart failure (p = 0.195), along with chronic liver disease, chronic kidney disease, malignancy, and HIV, did not significantly impact readmission rates (p = 0.131, p = 0.327, p = 0.082, and p = 0.484, respectively). Furthermore, no statistically significant differences were observed in readmission rates related to ICU admission (p = 0.945) or hypertension (p = 0.279).
Conclusion: The findings of the current study revealed a lower readmission rate among patients with diabetes as a significant finding. Conversely, factors like COPD, chronic heart failure, and various comorbidities did not significantly influence readmissions, and ICU admission and hypertension showed no significant impact. Further research is essential for broader applicability and to enhance patient care.
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