Observational studyPloS one2020
The SAPS 3 score as a predictor of hospital mortality in a South African tertiary intensive care unit: A prospective cohort study.
Observational study in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Serum proteomes and their prognostic values in sepsis patients admitted to a medical intensive care unit: a single-center study using SWATH-MS proteomics.Annals of intensive care · 2025Article
- Exploring Peripheral and Respiratory Muscle Weakness and Functional Impairments in ICU Patients: Insights From a Resource-Constrained Setting.Critical care explorations · 2025Observational
- Early mobilisation practices in Windhoek intensive care units: A retrospective review of patient profiles and physiotherapy practice.The Southern African journal of critical care : the official journal of the Critical Care Society · 2025Article
- Clinical audit of cases and outcomes of patients admitted to the intensive care unit at Kamuzu Central Hospital, Lilongwe, Malawi.Scientific reports · 2024Article
- Implementing an ICU registry in Ethiopia-Implications for critical care quality improvement.Journal of critical care · 2024Article
- In-ICU Outcomes of Critically Ill Patients in a Reference Cameroonian Intensive Care Unit: A Retrospective Cohort Study.Critical care research and practice · 2023Article
- A 7-year review of medical admission profile for clinical diseases in an intensive care unit of a low-resource setting.SAGE open medicine · 2023Article
- A comparison of impact of comorbidities and demographics on 60-day mortality in ICU patients with COVID-19, sepsis and acute respiratory distress syndrome.Scientific reports · 2022Article
- Mortality risk prediction models: Methods of assessing discrimination and calibration and what they mean.The Southern African journal of critical care : the official journal of the Critical Care Society · 2022Article
- Quantifying the burden of the post-ICU syndrome in South Africa: A scoping review of evidence from the public health sector.The Southern African journal of critical care : the official journal of the Critical Care Society · 2022Article
- Prediction of in-hospital mortality: An adaptive severity-of-illness score for a tertiary ICU in South Africa.The Southern African journal of critical care : the official journal of the Critical Care Society · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
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Abstract
backgroundNo African countries were included in the development of the Simplified Acute Physiology Score 3 (SAPS 3). This study aimed to assess the performance of the SAPS 3 as a predictor of hospital mortality in patients admitted to a multi-disciplinary tertiary intensive care unit (ICU) in South Africa.
methodsA prospective cohort study was undertaken in a tertiary single-centre closed multidisciplinary ICU with 16 beds over 12 months in 2017. First time admissions 12 years and over were included. Exclusions were patients who died within six hours of admission, incomplete data sets and unknown outcome after ICU discharge. Demographic data, clinical admission data and co-morbidities were recorded. The SAPS 3 score was calculated within the first hour of ICU admission. The highest Sequential Organ Failure Assessment score, vasopressor use, mechanical ventilation requirements and details of acute kidney injury, if present, were recorded. Discrimination of the model was evaluated using an area under the receiver operating characteristic curve (AUROC) and calibration by the Hosmer-Lemeshow (HL) Goodness of Fit Test (Ĉ and Ĥ statistic). The observed versus the SAPS 3 model predicted mortality ratios were compared and the standardized mortality ratio (SMR) was calculated.
resultsA total of 829 admissions with a mean SAPS 3 (SD) of 48.1 (16) were included. Of patients with a known human immunodeficiency virus (HIV) status, 32,4% were positive. The ICU and hospital mortality rates were 13.3% and 21.4% respectively. The SAPS 3 model had a AUROC of 0.796 and HL Ĉ and Ĥ statistics were 12.1 and 11.8 (p-values 0.15 and 0.16). The SMR for the model was 1.002 (95%CI: 0.91-1.10). The mortality of 41% for the subgroup with sepsis/septic shock was higher than predicted with a SMR of 1.24 (95% CI 1.11-1.37).
conclusionsThe SAPS 3 model showed good calibration and fair discrimination when applied to the cohort. The SAPS 3 model can be used to describe the case mix in this African ICU with a high incidence of HIV. Ongoing efforts should be made to improve outcomes of septic patients.
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