Epidemiology of critically ill patients in intensive care units in Nepal: a retrospective observational study

Diptesh Aryal, Anand Thakur, Basanta Gauli,Hem Raj Paneru,Kanchan Koirala,Kishor Khanal, Lalit Kumar Rajbanshi, Niroj Hirachan,Pramesh Sunder Shrestha, Pradip Kumar Tiwari, Raju Shrestha, Riju Dhakal,Rupesh Gami,Sabin Koirala,Sanjay Lakhey,Shital Adhikari,Subekshya Luitel, Subha Kalyan Shrestha,Subhash Prasad Acharya,Sushil Khanal, Tamanna Bajracharya,Tiffany E Gooden, Fathima Fazla,Abi Beane,Rashan Haniffa

Wellcome open research(2023)

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摘要
Background: Epidemiological data on critically ill patients is crucial for understanding resource utilisation, gaps in quality of care and for supporting surveillance of endemic or emerging diseases. We report the epidemiology of critically ill patients from 17 intensive care units (ICUs) in Nepal using an established and standardised ICU registry. Methods: The ICU registry data is collected prospectively and includes data on case mix, severity, organ support and outcomes. We conducted a retrospective observational study with all adult (≥18 years) critically ill patients admitted to 17 ICUs in Nepal between September 2019 and September 2022. We report on case mix, treatment received, severity of illness, standardised mortality rates (SMR), discharge outcomes and ICU service activity. Descriptive statistics were used to report the findings. Results: Of the 18603 unique admissions, 14% were operative, with 35% emergency surgeries. Patients’ median age was 57 (IQR 40-71) and 59% were male. Hypertension and diabetes were common comorbidities and pneumonia accounted for 26% of all admissions. During the ICU stay, 39% of patients received mechanical ventilation, 29% received vasoactive medication and 10% received renal replacement therapy. The median predicted risk of death was 0.1 (IQR 0.1-0.3) using APACHE II and 0.2 (IQR 0.1-0.4) using eTropICS. The median SMR was 0.7 (IQR 0.5-0.8) and 0.8 (IQR 0.6-1.4) using eTropICS and APACHE II, respectively. Median length of stay was 4 days (IQR 2-7). Eighteen percent died in the ICU; of those alive at discharge, 12% went home, 84% went to another department and 3% went to another hospital. COVID-19 was the most common notifiable disease reported (12% of all admissions). Median ICU turnover was 9% (IQR 6-14) with bed capacity ranging from 43-278. Conclusions: These findings should guide forecasting and service planning to ensure ICUs can optimally care for critically ill patients in Nepal.
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critically ill patients,intensive care units,nepal,ill patients,epidemiology
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