ArticleBMJ open2021
Multimorbidity patterns of chronic conditions and geriatric syndromes in older patients from the MoPIM multicentre cohort study.
Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02830425 (Potentially Inappropriate Prescription Associated to Multimorbidity, Using the Explicit STOPP-START), which is not on this map. Cited by 20 papers, 3 of them syntheses that pooled it.
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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.
Potentially Inappropriate Prescription Associated to Multimorbidity, Using the Explicit STOPP-START (Screening Tool of Older Persons' Potentially Inappropriate Prescriptions/Screening Tool to Alert Doctors to the Right Treatment) Criteria
Who cites it
20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 41 citations in OpenAlex.
- Person-centred care models for institutionalised older adults requiring palliative care: an integrative review.BMC geriatrics · 2026Pooled it
- A systematic review and meta-analysis of disease clusters in multimorbidity.Nature communications · 2025Pooled it
- Social determinants of multimorbidity patterns: A systematic review.Frontiers in public health · 2023Pooled it
- Multidimensional Symptom Burden Among Institutionalised Older Adults: Associations with Functional Status, Psychological Factors and Quality of Life.Healthcare (Basel, Switzerland) · 2026Article
- Assessing disability-adjusted life years (DALY) from multiple medication use and multiple illnesses of older adults in rural Thailand.Aging clinical and experimental research · 2026Article
- Unsupervised machine learning for cardiovascular disease: A framework for future studies.European journal of heart failure · 2025Review
- Common mechanisms of Gut microbe-based strategies for the treatment of intestine-related diseases: based on multi-target interactions with the intestinal barrier.Cell communication and signaling : CCS · 2025Review
- Uncovering bridging diseases in complex multimorbidity pathways: A network science approach.PloS one · 2025Article
- Patterns of multimorbidity in older adults with multiple myeloma: An analysis of SEER-Medicare.PloS one · 2025Article
- Article
- Essential New Complexity-Based Themes for Patient-Centered Diagnosis and Treatment of Dementia and Predementia in Older People: Multimorbidity and Multilevel Phenomenology.Journal of clinical medicine · 2024Review
- Trajectories of chronic multimorbidity patterns in older patients: MTOP study.BMC geriatrics · 2024Observational
- Learning prevalent patterns of co-morbidities in multichronic patients using population-based healthcare data.Scientific reports · 2024Article
- Epidemiology, mortality, and health service use of local-level multimorbidity patterns in South Spain.Nature communications · 2023Article
- Association between sleep problems and multimorbidity patterns in older adults.BMC public health · 2023Article
- Sex Differences in Multimorbidity, Inappropriate Medication and Adverse Outcomes of Inpatient Care: MoPIM Cohort Study.International journal of environmental research and public health · 2023Article
- Multimorbidity patterns in COVID-19 patients and their relationship with infection severity: MRisk-COVID study.PloS one · 2023Observational
- Comprehensive Multimorbidity Patterns in Older Patients Are Associated with Quality Indicators of Medication-MoPIM Cohort Study.International journal of environmental research and public health · 2022Observational
- Are multimorbidity patterns associated with fear of falling in community-dwelling older adults?BMC geriatrics · 2022Article
- Factors associated to potentially inappropriate prescribing in older patients according to STOPP/START criteria: MoPIM multicentre cohort study.BMC geriatrics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo estimate the frequency of chronic conditions and geriatric syndromes in older patients admitted to hospital because of an exacerbation of their chronic conditions, and to identify multimorbidity clusters in these patients.
designMulticentre, prospective cohort study.
settingInternal medicine or geriatric services of five general teaching hospitals in Spain.
participants740 patients aged 65 and older, hospitalised because of an exacerbation of their chronic conditions between September 2016 and December 2018. PRIMARY AND SECONDARY OUTCOME MEASURES: Active chronic conditions and geriatric syndromes (including risk factors) of the patient, a score about clinical management of chronic conditions during admission, and destination at discharge were collected, among other variables. Multimorbidity patterns were identified using fuzzy c-means cluster analysis, taking into account the clinical management score. Prevalence, observed/expected ratio and exclusivity of each chronic condition and geriatric syndrome were calculated for each cluster, and the final solution was approved after clinical revision and discussion among the research team.
results740 patients were included (mean age 84.12 years, SD 7.01; 53.24% female). Almost all patients had two or more chronic conditions (98.65%; 95% CI 98.23% to 99.07%), the most frequent were hypertension (81.49%, 95% CI 78.53% to 84.12%) and heart failure (59.86%, 95% CI 56.29% to 63.34%). The most prevalent geriatric syndrome was polypharmacy (79.86%, 95% CI 76.82% to 82.60%). Four statistically and clinically significant multimorbidity clusters were identified: osteoarticular, psychogeriatric, cardiorespiratory and minor chronic disease. Patient-level variables such as sex, Barthel Index, number of chronic conditions or geriatric syndromes, chronic disease exacerbation 3 months prior to admission or destination at discharge differed between clusters.
conclusionsIn older patients admitted to hospital because of the exacerbation of chronic health problems, it is possible to define multimorbidity clusters using soft clustering techniques. These clusters are clinically relevant and could be the basis to reorganise healthcare circuits or processes to tackle the increasing number of older, multimorbid patients. TRIAL REGISTRATION NUMBER: NCT02830425.
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