ArticleAnnals of intensive care2023
Critically ill patient mortality by age: long-term follow-up (CIMbA-LT).
Article in Annals of intensive care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Combined impact of diabetes mellitus and hypertension on acute kidney injury and survival in critically ill patients: a decade of experience from a Jordanian Tertiary Hospital.Future science OA · 2026Article
- Light therapy in medicine: where do we stand?Annals of translational medicine · 2026Review
- Association between prolonged Emergency Department stay and Intensive Care Unit mortality among patients at a tertiary hospital in Ethiopia.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026Article
- Key characteristics of palliative care integration in intensive care units (ICUs): A scoping review.International journal of nursing studies advances · 2026Review
- Current strategies and future directions to enhance recovery following critical illness.Thorax · 2026Review
- Admission Biomarkers as Predictors of Mortality in Comatose Patients in the Intensive Care Unit: A Retrospective Pilot Study.Diagnostics (Basel, Switzerland) · 2026Article
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- Surgical Patients Admitted to Intensive Care: Do Elective and Urgent Surgical Patients Have Similar Outcomes?Cureus · 2026Article
- ICU mortality prediction via multimodal learning on MIMIC-IV clinical data.Bioinformatics advances · 2026Article
- Redefining success: Incorporating long-term survival outcomes into routine benchmarking.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2025Article
- TRAIL and RIPK3 Do Not Predict Mortality and Acute Kidney Injury in Critically Ill Patients at Admission to the Intensive Care Unit-A Single-Center Cohort Study.International journal of molecular sciences · 2025Article
- Time-Limited Trials in Intensive Care Medicine: A Tool for Avoiding Inappropriate Treatment.Deutsches Arzteblatt international · 2025Review
- Prioritizing Patient Selection in Clinical Trials: A Machine Learning Algorithm for Dynamic Prediction of In-Hospital Mortality for ICU Admitted Patients Using Repeated Measurement Data.Journal of clinical medicine · 2025Article
- Intensive Care Unit admission and long-term survival in older patients after elective major noncardiac surgery: A secondary analysis.PloS one · 2025Article
- Primary palliative care in acute care surgery: an American Association for the Surgery of Trauma Critical Care Committee and Palliative Care Committee clinical consensus document.Trauma surgery & acute care open · 2025Article
- Article
- Article
- The impact of age on mortality in the intensive care unit: a retrospective cohort study in Malaysia.Acute and critical care · 2024Article
- Two-year survival after scheduled extubation in patients with pneumonia or ARDS: a prospective observational study.BMC anesthesiology · 2024Observational
- Circadian Influences on Myocardial Ischemia-Reperfusion Injury and Heart Failure.Circulation research · 2024Review
Corrections and comments
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9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe past years have witnessed dramatic changes in the population admitted to the intensive care unit (ICU). Older and sicker patients are now commonly treated in this setting due to the newly available sophisticated life support. However, the short- and long-term benefit of this strategy is scarcely studied.
methodsThe Critically Ill patients' mortality by age: Long-Term follow-up (CIMbA-LT) was a multicentric, nationwide, retrospective, observational study addressing short- and long-term prognosis of patients admitted to Portuguese multipurpose ICUs, during 4 years, according to their age and disease severity. Patients were followed for two years after ICU admission. The standardized hospital mortality ratio (SMR) was calculated according to the Simplified Acute Physiology Score (SAPS) II and the follow-up risk, for patients discharged alive from the hospital, according to official demographic national data for age and gender. Survival curves were plotted according to age group.
resultsWe included 37.118 patients, including 15.8% over 80 years old. The mean SAPS II score was 42.8 ± 19.4. The ICU all-cause mortality was 16.1% and 76% of all patients survive until hospital discharge. The SAPS II score overestimated hospital mortality [SMR at hospital discharge 0.7; 95% confidence interval (CI) 0.63-0.76] but accurately predicted one-year all-cause mortality [1-year SMR 1.01; (95% CI 0.98-1.08)]. Survival curves showed a peak in mortality, during the first 30 days, followed by a much slower survival decline thereafter. Older patients had higher short- and long-term mortality and their hospital SMR was also slightly higher (0.76 vs. 0.69). Patients discharged alive from the hospital had a 1-year relative mortality risk of 6.3; [95% CI 5.8-6.7]. This increased risk was higher for younger patients [21.1; (95% CI 15.1-39.6) vs. 2.4; (95% CI 2.2-2.7) for older patients].
conclusionsCritically ill patients' mortality peaked in the first 30 days after ICU admission. Older critically ill patients had higher all-cause mortality, including a higher hospital SMR. A long-term increased relative mortality risk was noted in patients discharged alive from the hospital, but this was more noticeable in younger patients.
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