Dokument: Frailty’s influence on 30-day mortality in old critically ill ICU patients: a bayesian analysis evaluating the clinical frailty scale

Titel:Frailty’s influence on 30-day mortality in old critically ill ICU patients: a bayesian analysis evaluating the clinical frailty scale
URL für Lesezeichen:https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=67602
URN (NBN):urn:nbn:de:hbz:061-20241119-111652-5
Kollektion:Publikationen
Sprache:Englisch
Dokumententyp:Wissenschaftliche Texte » Artikel, Aufsatz
Medientyp:Text
Autoren: Wernly, Bernhard [Autor]
Bruno, Raphael Romano [Autor]
Beil, Michael [Autor]
Flaatten, Hans [Autor]
Kelm, Malte [Autor]
Sigal, Sviri [Autor]
Szczeklik, Wojciech [Autor]
Elhadi, Muhammed [Autor]
Joannidis, Michael [Autor]
Koköfer, Andreas [Autor]
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Dateien vom 19.11.2024 / geändert 19.11.2024
Beschreibung:Introduction

Frailty is widely acknowledged as influencing health outcomes among critically ill old patients. Yet, the traditional understanding of its impact has predominantly been through frequentist statistics. We endeavored to explore this association using Bayesian statistics aiming to provide a more nuanced understanding of this multifaceted relationship.
Methods

Our analysis incorporated a cohort of 10,363 older (median age 82 years) patients from three international prospective studies, with 30-day all-cause mortality as the primary outcome. We defined frailty as Clinical Frailty Scale ≥ 5. A hierarchical Bayesian logistic regression model was employed, adjusting for covariables, using a range of priors. An international steering committee of registry members reached a consensus on a minimal clinically important difference (MCID).
Results

In our study, the 30-day mortality was 43%, with rates of 38% in non-frail and 51% in frail groups. Post-adjustment, the median odds ratio (OR) for frailty was 1.60 (95% CI 1.45–1.76). Frailty was invariably linked to adverse outcomes (OR > 1) with 100% probability and had a 90% chance of exceeding the minimal clinically important difference (MCID) (OR > 1.5). For the Clinical Frailty Scale (CFS) as a continuous variable, the median OR was 1.19 (1.16–1.22), with over 99% probability of the effect being more significant than 1.5 times the MCID. Frailty remained outside the region of practical equivalence (ROPE) in all analyses, underscoring its clinical importance regardless of how it is measured.
Conclusions

This research demonstrates the significant impact of frailty on short-term mortality in critically ill elderly patients, particularly when the Clinical Frailty Scale (CFS) is used as a continuous measure. This approach, which views frailty as a spectrum, enables more effective, personalized care for this vulnerable group. Significantly, frailty was consistently outside the region of practical equivalence (ROPE) in our analysis, highlighting its clinical importance.
Rechtliche Vermerke:Originalveröffentlichung:
Wernly, B., Bruno, R. R., Beil, M., Flaatten, H., Kelm, M., Sigal, S., Szczeklik, W., Elhadi, M., Joannidis, M., Koköfer, A., Oeyen, S., Marsh, B., Moreno, R., Wernly, S., Leaver, S., De Lange, D. W., Guidet, B., & Jung, C. (2023). Frailty’s influence on 30-day mortality in old critically ill ICU patients: a bayesian analysis evaluating the clinical frailty scale. Annals of Intensive Care, 13, Article 126. https://doi.org/10.1186/s13613-023-01223-9
Lizenz:Creative Commons Lizenzvertrag
Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz
Fachbereich / Einrichtung:Medizinische Fakultät
Dokument erstellt am:19.11.2024
Dateien geändert am:19.11.2024
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