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Investigating SOFA, delta-SOFA and MPM-III for mortality prediction among critically ill patients at a private tertiary hospital ICU in Kenya: A retrospective cohort study
- Source :
- PLoS ONE, PLoS ONE, Vol 15, Iss 7, p e0235809 (2020)
- Publication Year :
- 2020
- Publisher :
- Public Library of Science (PLoS), 2020.
-
Abstract
- BackgroundOutcomes in well-resourced, intensive care units (ICUs) in Kenya are thought to be comparable to those in high-income countries (HICs) but risk-adjusted mortality data is unavailable. We undertook an evaluation of the Aga Khan University Hospital, Nairobi ICU to analyze patient clinical-demographic characteristics, compare the performance of Sequential Organ Failure Assessment (SOFA), delta-SOFA at 48 hours and Mortality Prediction Model-III (MPM-III) mortality prediction systems, and identify factors associated with increased risk of mortality.MethodsA retrospective cohort study was conducted of adult patients admitted to the ICU between January 2015 and September 2017. SOFA and MPM-III scores were determined at admission and SOFA repeated at 48 hours.ResultsApproximately 33% of patients did not meet ICU admission criteria. Mortality among the population of critically ill patients in the ICU was 31.7%, most of whom were male (61.4%) with a median age of 53.4 years. High adjusted odds of mortality were found among critically ill patients with leukemia (aOR 6.32, p0.05) while delta-SOFA was borderline (p = 0.05).ConclusionMortality among the critically ill was higher than expected in this well-resourced ICU. 48-hour SOFA performed better than admission SOFA, MPM-III and delta-SOFA in our cohort. While a large proportion of patients did not meet admission criteria but were boarded in the ICU, critically ill patients stepped-up from the step-down unit were unlikely to survive. Patients admitted following a cardiac arrest, and those with advanced disease such as leukemia, stage-4 HIV and metastatic cancer, had particularly poor outcomes. Policies for fair allocation of beds, protocol-driven admission criteria and appropriate case selection could contribute to lowering the risk of mortality among the critically ill to a level on par with HICs.
- Subjects :
- Male
RNA viruses
Bacterial Diseases
Organ Dysfunction Scores
health care facilities, manpower, and services
Pathology and Laboratory Medicine
Tertiary Care Centers
Geographical Locations
Hematologic Cancers and Related Disorders
Mathematical and Statistical Techniques
0302 clinical medicine
Immunodeficiency Viruses
Medicine and Health Sciences
Risk of mortality
Hospital Mortality
030212 general & internal medicine
education.field_of_study
Multidisciplinary
Mortality rate
Statistics
Hematology
Middle Aged
Hospitals
Intensive Care Units
Infectious Diseases
Oncology
Medical Microbiology
Viral Pathogens
Viruses
Physical Sciences
Cohort
Medicine
Female
Pathogens
Research Article
Adult
medicine.medical_specialty
Death Rates
Science
Critical Illness
Population
MEDLINE
Research and Analysis Methods
Microbiology
Hospitals, Private
Sepsis
03 medical and health sciences
Signs and Symptoms
Population Metrics
Diagnostic Medicine
health services administration
Intensive care
Retroviruses
Leukemias
medicine
Humans
Tuberculosis
Statistical Methods
education
Microbial Pathogens
Aged
Retrospective Studies
Population Biology
business.industry
Lentivirus
Organisms
Biology and Life Sciences
HIV
Cancers and Neoplasms
Retrospective cohort study
Tropical Diseases
medicine.disease
Kenya
respiratory tract diseases
Health Care
ROC Curve
030228 respiratory system
Health Care Facilities
People and Places
Africa
Emergency medicine
business
Mathematics
Forecasting
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 15
- Database :
- OpenAIRE
- Journal :
- PLOS ONE
- Accession number :
- edsair.doi.dedup.....25982d4eb809316a18fe3e0cd29d8a10
- Full Text :
- https://doi.org/10.1371/journal.pone.0235809