Demographic Analysis in ICU Admitted Patients


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Keywords

Clinical characteristics
treatment patterns
Intensive Care Units

How to Cite

1.
Demographic Analysis in ICU Admitted Patients. Planet (Barisal) [Internet]. 2026 May 17 [cited 2026 May 21];9(03):23-7. Available from: https://bdjournals.org/planet/article/view/1125

Abstract

Background: Intensive Care Units provide care for severely ill patients who frequently possess intricate medical requirements, such as comorbidities like diabetes, multi-organ issues, and regular antibiotic use. Although crucial, information regarding the prevalence of diabetes, its effects on complications, antibiotic use, and general ICU outcomes in the broader patient populations of Bangladesh is still scarce. This research seeks to assess these elements to enhance comprehension and refine critical care strategies for high-risk patients. Methods & Materials: This cross-sectional study involving 582 ICU patients at Anwar Khan Modern Medical College Hospital gathered information on demographics, diagnoses, complications, treatments, antibiotic usage, and outcomes. Data were assessed using SPSS v27, and ethical consent along with patient confidentiality were upheld. Results: In this study (n = 582), the majority of patients were older adults (mean age 57.96 ± 17.44 years) with hypertension (62%) and diabetes (55.3%). Frequent complications encompassed respiratory failure (40.4%), AKI (32.5%), and septic shock (28.9%); 65.3% were hospitalized for 0–3 days, 57.9% survived, and 26.3% passed away, with respiratory (47.1%) and hemodynamic support (33.3%) along with common usage of carbapenems (40.5%), indicating significant severity and multi-organ involvement. Conclusion: Patients in the ICU were generally older and admitted due to respiratory failure, shock, or altered mental status, frequently having hypertension and diabetes. They often experienced complications involving multiple organs, needed respiratory and hemodynamic assistance, and were administered broad-spectrum antibiotics, indicating severe illness.

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