ArticleCritical care explorations2023
Identifying Patterns of Medical Intervention in Acute Respiratory Failure: A Retrospective Observational Study.
Article in Critical care explorations, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed, 1 citations in OpenAlex.
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
importanceCharacterizing medical interventions delivered to ICU patients over time and their relationship to outcomes can help set expectations and inform decisions made by patients, clinicians, and health systems.
objectivesTo determine whether distinct and clinically relevant pathways of medical intervention can be identified among adult ICU patients with acute respiratory failure. DESIGN SETTING AND
participantsRetrospective observational study using all-payer administrative claims data from 2012 to 2014. Patients were identified from the Healthcare Cost and Utilization Project State Inpatient Databases from Maryland, Massachusetts, Nevada, and Washington. MAIN OUTCOMES AND MEASURES: Patterns of cumulative medical intervention delivery, over time, using temporal k-means clustering of interventions delivered up to hospital days 0, 5, 10, 20, and up to discharge.
resultsA total of 12,175 admissions were identified and divided into training (75%; CONCLUSIONS AND RELEVANCE: Most ICU admissions for acute respiratory failure follow one of three clinically relevant pathways of medical intervention which are associated with hospitalization outcomes. This study helps define the longitudinal nature of critical care delivery, which can inform efforts to predict patient outcomes, communicate with patients and their families, and organize critical care resources.
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