ArticlePloS one2018
Multimorbidity patterns in high-need, high-cost elderly patients.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.
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
28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.
- A systematic review and meta-analysis of disease clusters in multimorbidity.Nature communications · 2025Pooled it
- Quality Indicators for High-Need Patients: a Systematic Review.Journal of general internal medicine · 2022Pooled it
- Trial
- Opportunities for optimising care transitions of adults with multiple long-term conditions: a qualitative interview study.BMC geriatrics · 2025Article
- Income inequality and multimorbidity patterns in China: a micro-level analysis using CHARLS.Frontiers in public health · 2025Article
- Comorbidity profiling identifies potential subtype of elderly patients with nasopharyngeal carcinoma.The oncologist · 2024Article
- Identifying individuals with complex and long-term health-care needs using the Johns Hopkins Adjusted Clinical Groups System: A comparison of data from primary and specialist health care.Scandinavian journal of public health · 2024Article
- Learning prevalent patterns of co-morbidities in multichronic patients using population-based healthcare data.Scientific reports · 2024Article
- Caring for high-need patients.BMC health services research · 2023Article
- Observational
- Prevention of Unplanned Hospital Admissions in Multimorbid Patients Using Computational Modeling: Observational Retrospective Cohort Study.Journal of medical Internet research · 2023Observational
- Multimorbidity patterns in COVID-19 patients and their relationship with infection severity: MRisk-COVID study.PloS one · 2023Observational
- Two-year change in latent classes of comorbidity among high-risk Veterans in primary care: a brief report.BMC health services research · 2022Article
- Clinical Outcome and Utilization Profiles Among Latent Groups of High-Risk Patients: Moving from Segmentation Towards Intervention.Journal of general internal medicine · 2022Article
- Identifying patterns of clinical conditions among high-cost older adult health care users using claims data: a latent class approach.International journal for equity in health · 2022Article
- Preoperative Phase Angle as a Risk Indicator in Cardiac Surgery-A Prospective Observational Study.Nutrients · 2022Observational
- Empiric segmentation of high-risk patients: a structured literature review.The American journal of managed care · 2022Review
- Prevalence of Multimorbidity of Chronic Noncommunicable Diseases in Brazil: Population-Based Study.JMIR public health and surveillance · 2021Article
- Ranking sets of morbidities using hypergraph centrality.Journal of biomedical informatics · 2021Article
- Increases in multimorbidity with weight class in the United States.Clinical obesity · 2021Article
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 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPatients with complex health care needs (PCHCN) are individuals who require numerous, costly care services and have been shown to place a heavy burden on health care resources. It has been argued that an important issue in providing value-based primary care concerns how to identify groups of patients with similar needs (who pose similar challenges) so that care teams and care delivery processes can be tailored to each patient subgroup. Our study aims to describe the most common chronic conditions and their combinations in a cohort of elderly PCHCN.
methodsWe focused on a cohort of PCHCN residing in an area served by a local public health unit (the "Azienda ULSS4-Veneto") and belonging to Resource Utilization Bands 4 and 5 according to the ACG System. For each patient we extracted Expanded Diagnosis Clusters, and combined them with information available from Rx-MGs diagnoses. For the present work we focused on 15 diseases/disorders, analyzing their combinations as dyads and triads. Latent class analysis was used to elucidate the patterns of the morbidities considered in the PCHCN.
resultsFive disease clusters were identified: one concerned metabolic-ischemic heart diseases; one was labelled as neurological and mental disorders; one mainly comprised cardiac diseases such as congestive heart failure and atrial fibrillation; one was largely associated with respiratory conditions; and one involved neoplasms.
conclusionsOur study showed specific common associations between certain chronic diseases, shedding light on the patterns of multimorbidity often seen in PCHCN. Studying these patterns in more depth may help to better organize the intervention needed to deal with these patients.
Indexed as
Identifiers
What 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.