ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2012
Determining compound comorbidities for heart failure from hospital discharge data.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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
6 citing papers in PubMed, 7 citations in OpenAlex.
- Comorbidity in Older Patients Hospitalized with Cancer in Northeast China based on Hospital Discharge Data.International journal of environmental research and public health · 2020Article
- Identifying Psychiatric Comorbidities for Obstructive Sleep Apnea in the Biomedical Literature and Electronic Health Record.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2017Article
- Comorbidity in Adult Patients Hospitalized with Type 2 Diabetes in Northeast China: An Analysis of Hospital Discharge Data from 2002 to 2013.BioMed research international · 2016Article
- Comorbidity profiles and inpatient outcomes during hospitalization for heart failure: an analysis of the U.S. Nationwide inpatient sample.BMC cardiovascular disorders · 2014Article
- A review of approaches to identifying patient phenotype cohorts using electronic health records.Journal of the American Medical Informatics Association : JAMIAReview
- Mining and Visualizing Family History Associations in the Electronic Health Record: A Case Study for Pediatric Asthma.AMIA ... Annual Symposium proceedings. AMIA SymposiumArticle
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The course of treatment and ultimate clinical outcome often depends on a holistic understanding of the patient status, which often requires cataloguing of concomitant conditions ("comorbidities"). A number of approaches have been developed to quantify the effect of comorbidities (e.g., the Charlson Comorbidity Index); however, reported metrics have been based on pair-wise analyses of co-occurring conditions. This study explored the potential to develop "compound co-morbidities" (CCMs) as a knowledge construct to represent multiple comorbidities, which accommodates for relative prevalence, statistical significance, and rate of increased cost. In the context of congestive heart failure, which is a leading cause for hospital admissions nationally (particularly for the elderly), CCMs were developed and analyzed based on hospital discharge data for an entire state population (Vermont). The results suggest that CCMs may be a valuable construct for characterizing complex co-morbidity relationships that may not be captured using conventional pair-wise approaches.
Indexed as
Identifiers
23304355PMC3540553W115178580What 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.