ArticleScandinavian journal of trauma, resuscitation and emergency medicine2025
Continuous vital sign monitoring for predicting hospital length of stay: a feasibility study in chronic obstructive pulmonary disease and chronic heart failure patients.
Article in Scandinavian journal of trauma, resuscitation and emergency medicine, 2025. 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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Abstract
backgroundVital signs monitoring provides clinicians with real-time information regarding patients' current medical condition. We hypothesize that applying comprehensive analytical methods to underutilized, routinely collected vital signs data can yield valuable insights to support clinical decision-making. In this study, we present a novel approach for vital signs time series analysis applied to hospitalization length of stay (LOS) prediction in chronic obstructive pulmonary disease (COPD) and chronic heart failure (CHF) patients.
methodsHeart rate (HR), respiratory rate (RR) and peripheral oxygen saturation (SpO
resultsA total of 101 patients were enrolled in the study, 74 of whom were eligible for analysis (39 COPD and 35 CHF patients). Periodicity and self-correlation in HR and RR time series were associated to hospitalization LOS. In SpO
conclusionThrough a comprehensive feature-based analysis, we identified key patterns in HR, RR, and SpO₂ time series associated with hospitalization LOS in COPD and CHF patients and a compact set of features that can accurately predict LOS in COPD and CHF patients using only routinely collected data from the first 24 h of admission.
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