Evidence map›Paper›PMID 32673363›Full record

ArticlePloS one2020

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.

Lillian N Lukoko, Peter S Kussin, Rodney D Adam, James Orwa, Wangari Waweru-Siika

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Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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6 citing papers in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Lillian N LukokoDepartment of Anesthesia, Aga Khan University Hospital, Nairobi, Kenya.
Peter S KussinDivision of Pulmonary and Critical Care Medicine, Duke University, Durham, North Carolina, United States of America.
Rodney D AdamDepartments of Pathology and Medicine, Aga Khan University Hospital, Nairobi, Kenya.
James OrwaDepartment of Population Health, Aga Khan University Hospital, Nairobi, Kenya.
Wangari Waweru-SiikaDepartment of Anesthesia, Aga Khan University Hospital, Nairobi, Kenya.ORCID 0000-0002-3045-3372

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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, p<0.01), tuberculosis (aOR 3.96, p<0.01), post-cardiac arrest (aOR 3.57, p<0.01), admissions from the step-down unit (aOR 3.13, p<0.001), acute kidney injury (aOR 2.97, p<0.001) and metastatic cancer (aOR 2.45, p = 0.04). The area under the receiver-operating characteristic (ROC) curve of admission SOFA was 0.77 (95% CI, 0.73-0.81), MPM-III 0.74 (95% CI, 0.69-0.79), delta-SOFA 0.69 (95% CI, 0.63-0.75) and 48-hour SOFA 0.83 (95% CI, 0.79-0.87). The difference between SOFA at 48 hours and admission SOFA, MPM-III and delta-SOFA was statistically significant (chi2 = 17.1, 24.2 and 26.5 respectively; p<0.001). Admission SOFA, MPM-III and 48-hour SOFA were well calibrated (p >0.05) 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.

Indexed as

Organ Dysfunction ScoresAdultAgedCritical IllnessFemaleHospital MortalityHospitals, PrivateHumansIntensive Care UnitsKenyaMaleMiddle AgedRetrospective StudiesROC CurveTertiary Care Centers

Identifiers

PMID32673363
PMCPMC7365402

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