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Age, Risk, and Life Expectancy in Norwegian Intensive Care: A Registry-Based Population Modelling Study

BACKGROUND: Knowledge about the expected life years gained from intensive care unit (ICU) admission could inform priority-setting decisions across groups of ICU patients and across medical specialties. The aim of this study was to estimate expected remaining lifetime for patients admitted to ICUs du...

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Autores principales: Lindemark, Frode, Haaland, Øystein A., Kvåle, Reidar, Flaatten, Hans, Johansson, Kjell A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4444302/
https://www.ncbi.nlm.nih.gov/pubmed/26011281
http://dx.doi.org/10.1371/journal.pone.0125907
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author Lindemark, Frode
Haaland, Øystein A.
Kvåle, Reidar
Flaatten, Hans
Johansson, Kjell A.
author_facet Lindemark, Frode
Haaland, Øystein A.
Kvåle, Reidar
Flaatten, Hans
Johansson, Kjell A.
author_sort Lindemark, Frode
collection PubMed
description BACKGROUND: Knowledge about the expected life years gained from intensive care unit (ICU) admission could inform priority-setting decisions across groups of ICU patients and across medical specialties. The aim of this study was to estimate expected remaining lifetime for patients admitted to ICUs during 2008–2010 and to estimate the gain in life years from ICU admission. METHODS: This is a descriptive, population modelling study of 30,712 adult mixed ICU admissions from the Norwegian Intensive Care Registry. The expected remaining lifetime for each patient was estimated using a decision-analytical model. Transition probabilities were based on registered Simplified Acute Physiology Score (SAPS) II, and standard and adjusted Norwegian life-tables. RESULTS: The hospital mortality was 19.4% (n = 5,958 deaths). 24% of the patients were estimated to die within the first year after ICU admission in our model. Under an intermediate (base case), optimistic (O), and pessimistic (P) scenario with respect to long-term mortality, the average expected remaining lifetime was 19.4, 19.9, and 12.7 years. The majority of patients had a life expectancy of more than five years (84.8% in the base case, 89.4% in scenario O, and 55.6% in scenario P), and few had a life expectancy of less than one year (0.7%, 0.1%, and 12.7%). The incremental gain from ICU admission compared to counterfactual general ward care was estimated to be 0.04 (scenario P, age 85+) to 1.14 (scenario O, age < 45) extra life years per patient. CONCLUSIONS: Our research demonstrated a novel way of using routinely collected registry data to estimate and evaluate the expected lifetime outcomes for ICU patients upon admission. The majority had high life expectancies. The youngest age groups seemed to benefit the most from ICU admission. The study raises the question whether availability and rationing of ICU services are too strict in Norway.
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spelling pubmed-44443022015-06-16 Age, Risk, and Life Expectancy in Norwegian Intensive Care: A Registry-Based Population Modelling Study Lindemark, Frode Haaland, Øystein A. Kvåle, Reidar Flaatten, Hans Johansson, Kjell A. PLoS One Research Article BACKGROUND: Knowledge about the expected life years gained from intensive care unit (ICU) admission could inform priority-setting decisions across groups of ICU patients and across medical specialties. The aim of this study was to estimate expected remaining lifetime for patients admitted to ICUs during 2008–2010 and to estimate the gain in life years from ICU admission. METHODS: This is a descriptive, population modelling study of 30,712 adult mixed ICU admissions from the Norwegian Intensive Care Registry. The expected remaining lifetime for each patient was estimated using a decision-analytical model. Transition probabilities were based on registered Simplified Acute Physiology Score (SAPS) II, and standard and adjusted Norwegian life-tables. RESULTS: The hospital mortality was 19.4% (n = 5,958 deaths). 24% of the patients were estimated to die within the first year after ICU admission in our model. Under an intermediate (base case), optimistic (O), and pessimistic (P) scenario with respect to long-term mortality, the average expected remaining lifetime was 19.4, 19.9, and 12.7 years. The majority of patients had a life expectancy of more than five years (84.8% in the base case, 89.4% in scenario O, and 55.6% in scenario P), and few had a life expectancy of less than one year (0.7%, 0.1%, and 12.7%). The incremental gain from ICU admission compared to counterfactual general ward care was estimated to be 0.04 (scenario P, age 85+) to 1.14 (scenario O, age < 45) extra life years per patient. CONCLUSIONS: Our research demonstrated a novel way of using routinely collected registry data to estimate and evaluate the expected lifetime outcomes for ICU patients upon admission. The majority had high life expectancies. The youngest age groups seemed to benefit the most from ICU admission. The study raises the question whether availability and rationing of ICU services are too strict in Norway. Public Library of Science 2015-05-26 /pmc/articles/PMC4444302/ /pubmed/26011281 http://dx.doi.org/10.1371/journal.pone.0125907 Text en © 2015 Lindemark et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lindemark, Frode
Haaland, Øystein A.
Kvåle, Reidar
Flaatten, Hans
Johansson, Kjell A.
Age, Risk, and Life Expectancy in Norwegian Intensive Care: A Registry-Based Population Modelling Study
title Age, Risk, and Life Expectancy in Norwegian Intensive Care: A Registry-Based Population Modelling Study
title_full Age, Risk, and Life Expectancy in Norwegian Intensive Care: A Registry-Based Population Modelling Study
title_fullStr Age, Risk, and Life Expectancy in Norwegian Intensive Care: A Registry-Based Population Modelling Study
title_full_unstemmed Age, Risk, and Life Expectancy in Norwegian Intensive Care: A Registry-Based Population Modelling Study
title_short Age, Risk, and Life Expectancy in Norwegian Intensive Care: A Registry-Based Population Modelling Study
title_sort age, risk, and life expectancy in norwegian intensive care: a registry-based population modelling study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4444302/
https://www.ncbi.nlm.nih.gov/pubmed/26011281
http://dx.doi.org/10.1371/journal.pone.0125907
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