ArticleCritical care (London, England)2019
Multimorbidity states associated with higher mortality rates in organ dysfunction and sepsis: a data-driven analysis in critical care.
Article in Critical care (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence and representation of comorbidities and multimorbidity in randomised controlled trials in sepsis or septic shock: a systematic review.Critical care (London, England) · 2026Pooled it
- Multimorbidity patterns and outcomes among adults (non-maternity) with community-onset sepsis in Ireland: a retrospective national analysis of acute hospital data, 2020-2025.Irish journal of medical science · 2026Article
- Association of serum uric acid, gout with incident sepsis: a large population-based prospective cohort study from UK Biobank.Journal of intensive care · 2026Article
- Clinically recognized sepsis in older adults admitted to medical wards: patient characteristics and hospital outcomes from the REPOSI register.Internal and emergency medicine · 2026Article
- Comorbidities and Inflammation: How Chronic Diseases Prime the Host Response in Sepsis.International journal of molecular sciences · 2026Review
- Prediction-guided clustering for sepsis phenotyping: a retrospective cohort analysis.Intensive care medicine experimental · 2026Article
- Association of multimorbidity with mortality risk in Chinese senior adults: a population-based cohort study.BMC geriatrics · 2026Article
- Predicting ICU transfer for high-risk patients upon medical admission via the medical intensive care prediction score (MICAPS).BMC emergency medicine · 2026Article
- Artificial Intelligence- and Machine Learning-Assisted Subphenotyping for Personalized Immunotherapy in Sepsis.Journal of personalized medicine · 2026Review
- Development of Machine Learning-Based Models to Predict Mortality in Intensive Care Unit Patients with Sepsis.Journal of inflammation research · 2026Article
- The immunology of sepsis: translating new insights into clinical practice.Nature reviews. Nephrology · 2026Review
- Circulating Toll-like receptor and cytokine profiles and genetic polymorphisms in a Chinese sepsis cohort: potential links to neuroinflammation and blood-brain barrier dysfunction.Frontiers in immunology · 2026Article
- Multimorbidity patterns are associated with postoperative delirium in older patients undergoing non-cardiac surgery: an observational study.Frontiers in medicine · 2026Article
- Multicenter validation of a scalable, interpretable, multitask prediction model for multiple clinical outcomes.NPJ digital medicine · 2025Article
- Prevalence & risk factors of multi-morbidity in critically ill patients with sepsis-associated acute kidney injury (SA-AKI).The Indian journal of medical research · 2025Article
- Major psychiatric comorbidity among the critically ill: a multi-centred cohort study in Queensland.BMC psychiatry · 2025Article
- Artificial intelligence driven definition of food preference endotypes in UK Biobank volunteers is associated with distinctive health outcomes and blood based metabolomic and proteomic profiles.Journal of translational medicine · 2024Article
- Clinical phenotypes of sepsis: a narrative review.Journal of thoracic disease · 2024Review
- Preventable deaths involving sepsis in England and Wales, 2013-2022: a systematic case series of coroners' reports.Infection · 2024Article
- Identification of clinically relevant patient endotypes in traumatic brain injury using latent class analysis.Scientific reports · 2024Article
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Abstract
backgroundSepsis remains a complex medical problem and a major challenge in healthcare. Diagnostics and outcome predictions are focused on physiological parameters with less consideration given to patients' medical background. Given the aging population, not only are diseases becoming increasingly prevalent but occur more frequently in combinations ("multimorbidity"). We hypothesized the existence of patient subgroups in critical care with distinct multimorbidity states. We further hypothesize that certain multimorbidity states associate with higher rates of organ failure, sepsis, and mortality co-occurring with these clinical problems.
methodsWe analyzed 36,390 patients from the open source Medical Information Mart for Intensive Care III (MIMIC III) dataset. Morbidities were defined based on Elixhauser categories, a well-established scheme distinguishing 30 classes of chronic diseases. We used latent class analysis to identify distinct patient subgroups based on demographics, admission type, and morbidity compositions and compared the prevalence of organ dysfunction, sepsis, and inpatient mortality for each subgroup.
resultsWe identified six clinically distinct multimorbidity subgroups labeled based on their dominant Elixhauser disease classes. The "cardiopulmonary" and "cardiac" subgroups consisted of older patients with a high prevalence of cardiopulmonary conditions and constituted 6.1% and 26.4% of study cohort respectively. The "young" subgroup included 23.5% of the cohort composed of young and healthy patients. The "hepatic/addiction" subgroup, constituting 9.8% of the cohort, consisted of middle-aged patients (mean age of 52.25, 95% CI 51.85-52.65) with the high rates of depression (20.1%), alcohol abuse (47.75%), drug abuse (18.2%), and liver failure (67%). The "complicated diabetics" and "uncomplicated diabetics" subgroups constituted 9.4% and 24.8% of the study cohort respectively. The complicated diabetics subgroup demonstrated higher rates of end-organ complications (88.3% prevalence of renal failure). Rates of organ dysfunction and sepsis ranged 19.6-69% and 12.5-46.7% respectively in the six subgroups. Mortality co-occurring with organ dysfunction and sepsis ranges was 8.4-23.8% and 11.7-27.4% respectively. These adverse outcomes were most prevalent in the hepatic/addiction subgroup.
conclusionWe identify distinct multimorbidity states that associate with relatively higher prevalence of organ dysfunction, sepsis, and co-occurring mortality. The findings promote the incorporation of multimorbidity in healthcare models and the shift away from the current single-disease paradigm in clinical practice, training, and trial design.
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