ArticleIntensive care medicine2013
Prediction of long-term mortality in ICU patients: model validation and assessing the effect of using in-hospital versus long-term mortality on benchmarking.
Article in Intensive care medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Predicting six-month mortality of patients with traumatic brain injury: usefulness of common intensive care severity scores.Critical care (London, England) · 2014Trial
- Data Resource Profile Update: The Dutch National Intensive Care Evaluation (NICE) registry.International journal of epidemiology · 2026Article
- Article
- Long-term Survival and Quality of Life among Survivors Discharged from a Respiratory ICU in North India: A Prospective Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2022Article
- Place of death and phenomenon of going home to die in Chinese adults: A prospective cohort study.The Lancet regional health. Western Pacific · 2022Article
- Variation in severity-adjusted resource use and outcome in intensive care units.Intensive care medicine · 2022Article
- Health-related quality of life in intensive care survivors: Associations with social support, comorbidity, and pain interference.PloS one · 2018Article
- Article
- Observational
- Unconscious trauma patients: outcome differences between southern Finland and Germany-lesson learned from trauma-registry comparisons.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2016Article
- Article
- Article
- Predicting one-year mortality of critically ill patients with early acute kidney injury: data from the prospective multicenter FINNAKI study.Critical care (London, England) · 2015Article
- Review
- The authors reply.Critical care medicine · 2014Article
- Comment on: Clinical outcomes after unplanned extubation in a surgical intensive care population.World journal of surgery · 2014Article
- Year in review in Intensive Care Medicine 2013: III. Sepsis, infections, respiratory diseases, pediatrics.Intensive care medicine · 2014Article
- How objective is the observed mortality following critical care?Intensive care medicine · 2013Article
Corrections and comments
- Commented on by
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo analyze the influence of using mortality 1, 3, and 6 months after intensive care unit (ICU) admission instead of in-hospital mortality on the quality indicator standardized mortality ratio (SMR).
methodsA cohort study of 77,616 patients admitted to 44 Dutch mixed ICUs between 1 January 2008 and 1 July 2011. Four Acute Physiology and Chronic Health Evaluation (APACHE) IV models were customized to predict in-hospital mortality and mortality 1, 3, and 6 months after ICU admission. Models' performance, the SMR and associated SMR rank position of the ICUs were assessed by bootstrapping.
resultsThe customized APACHE IV models can be used for prediction of in-hospital mortality as well as for mortality 1, 3, and 6 months after ICU admission. When SMR based on mortality 1, 3 or 6 months after ICU admission was used instead of in-hospital SMR, 23, 36, and 30% of the ICUs, respectively, received a significantly different SMR. The percentages of patients discharged from ICU to another medical facility outside the hospital or to home had a significant influence on the difference in SMR rank position if mortality 1 month after ICU admission was used instead of in-hospital mortality.
conclusionsThe SMR and SMR rank position of ICUs were significantly influenced by the chosen endpoint of follow-up. Case-mix-adjusted in-hospital mortality is still influenced by discharge policies, therefore SMR based on mortality at a fixed time point after ICU admission should preferably be used as a quality indicator for benchmarking purposes.
Indexed as
Identifiers
23921978What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.