ArticleBMJ open2019
Healthcare processes of laboratory tests for the prediction of mortality in the intensive care unit: a retrospective study based on electronic healthcare records in the USA.
Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Informative presence and observation in routine health data: A review of methodology for clinical risk prediction.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Prognostic impact of angiotensin-converting enzyme inhibitors and dexmedetomidine in acute respiratory distress syndrome: a MIMIC-IV-based retrospective cohort analysis.Frontiers in medicine · 2025Article
- Pathophysiological Features in Electronic Medical Records Sustain Model Performance under Temporal Dataset Shift.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024Article
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- Evaluation of Argatroban in Sepsis-Induced Coagulopathy: A Retrospective Study Based on MIMIC-IV Database.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/HemostasisArticle
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Authors and funding
4 authors.
Funding
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Abstract
objectivesHealthcare process carries important prognostic information for patients, but the healthcare processes of laboratory tests have not yet been investigated for patients in the intensive care unit (ICU). The study aimed to investigate the effect of healthcare processes of laboratory tests on hospital mortality, with the hypothesis that the addition of healthcare processes could improve the discrimination for mortality outcome.
designThe study included 12 laboratory tests. There were two dimensions for each laboratory test. One was the pathophysiology value; and the other was the healthcare process variables including the clock hour, the number of measurements and the measurement time from ICU admission. Generalised additive model was employed to investigate the effect of continuous variables on mortality. Generalised linear models with and without healthcare process variables were compared for their discrimination power.
settingICUs in an US-based hospital.
participantsAdult patients included in the critical care big data Medical Information Mart for Intensive Care. PRIMARY AND SECONDARY OUTCOME MEASURES: The hospital mortality was the primary outcome.
resultsA total of 52 963 adult patients with complete ICU stay information were included for analysis. The mortality rate was 12.3%. Lower number of tests such as 1-3 times were associated with the lowest mortality for most laboratory tests. However, the hematocrit, glucose and potassium required 6-10 measurements for the first 24 hours to reach the lowest mortality rate. In n of the 12 prediction models involving laboratory tests, the addition of healthcare process variables was associated with significantly increased area under receiver operating characteristics.
conclusionsThe study showed that healthcare processes of laboratory tests were independently associated with hospital mortality. The addition of healthcare processes to the pathophysiology value could increase the discrimination for mortality outcome.
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