Evidence map›Paper›PMID 37354026›Full record

ArticleJournal of the American Geriatrics Society2023

Common non-cardiovascular multimorbidity groupings and clinical outcomes in older adults with major cardiovascular disease.

Stephanie Denise M Sison, Kueiyu Joshua Lin, Mehdi Najafzadeh, Darae Ko, Elisabetta Patorno, Lily G Bessette, Heidi Zakoul, Dae Hyun Kim

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Stephanie Denise M SisonDivision of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.ORCID 0000-0003-3894-7219
Kueiyu Joshua LinDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Mehdi NajafzadehDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Darae KoSection of Cardiovascular Medicine, Boston University School of Medicine, Boston, Massachusetts, USA.
Elisabetta PatornoDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Lily G BessetteDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Heidi ZakoulDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Dae Hyun KimDivision of Gerontology, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA.ORCID 0000-0001-7290-6838

Funding

Prospective Monitoring of Newly Approved Cardiovascular Drugs in Older Adults with FrailtyR01AG062713 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI KIM, DAE HYUN · 2019 to 2022
$2.8M
Mid-Career Mentoring Award For Patient-Oriented Research in Frailty and Health OutcomesK24AG073527 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI Dae Hyun Kim · 2022 to 2026
$862k
Risk-Guided Atrial Fibrillation Surveillance in Ischemic StrokeK23HL151903 · NHLBI · HEBREW REHABILITATION CENTER FOR AGED · PI KO, DARAE · 2021 to 2025
$822k
Novel Approaches to Monitor the Safety and Effectiveness of Newly Marketed Diabetes Medications in Older Adults Considering Frailty and MultimorbidityK08AG055670 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI PATORNO, ELISABETTA · 2018 to 2021
$661k
NHLBI NIH HHS K23 HL151903NIA NIH HHS K08 AG055670NIA NIH HHS K08AG055670NIA NIH HHS K24 AG073527NIA NIH HHS K24AG073527NIA NIH HHS R01 AG062713NIA NIH HHS R01AG062713
6 · The paper itself

Abstract

backgroundAmong older adults, non-cardiovascular multimorbidity often coexists with cardiovascular disease (CVD) but their clinical significance is uncertain. We identified common non-cardiovascular comorbidity patterns and their association with clinical outcomes in Medicare fee-for-service beneficiaries with acute myocardial infarction (AMI), congestive heart failure (CHF), or atrial fibrillation (AF).

methodsUsing 2015-2016 Medicare data, we took 1% random sample to create 3 cohorts of beneficiaries diagnosed with AMI (n = 24,808), CHF (n = 57,285), and AF (n = 36,277) prior to 1/1/2016. Within each cohort, we applied latent class analysis to classify beneficiaries based on 9 non-cardiovascular comorbidities (anemia, cancer, chronic kidney disease, chronic lung disease, dementia, depression, diabetes, hypothyroidism, and musculoskeletal disease). Mortality, cardiovascular and non-cardiovascular hospitalizations, and home time lost over a 1-year follow-up period were compared across non-cardiovascular multimorbidity classes.

resultsSimilar non-cardiovascular multimorbidity classes emerged from the 3 CVD cohorts: (1) minimal, (2) depression-lung, (3) chronic kidney disease (CKD)-diabetes, and (4) multi-system class. Across CVD cohorts, multi-system class had the highest risk of mortality (hazard ratio [HR], 2.7-3.9), cardiovascular hospitalization (HR, 1.6-3.3), non-cardiovascular hospitalization (HR, 3.1-7.2), and home time lost (rate ratio, 2.7-5.4). Among those with AMI, the CKD-diabetes class was more strongly associated with all the adverse outcomes than the depression-lung class. In CHF and AF, differences in risk between the depression-lung and CKD-diabetes classes varied per outcome; and the depression-lung and multi-system classes had double the rates of non-cardiovascular hospitalizations than cardiovascular hospitalizations.

conclusionFour non-cardiovascular multimorbidity patterns were found among Medicare beneficiaries with CHF, AMI, or AF. Compared to the minimal class, the multi-system, CKD-diabetes, and depression-lung classes were associated with worse outcomes. Identification of these classes offers insight into specific segments of the population that may benefit from more than the usual cardiovascular care.

Indexed as

Atrial FibrillationCardiovascular DiseasesDiabetes MellitusHeart FailureMyocardial InfarctionRenal Insufficiency, ChronicAgedHumansLungMedicareMultimorbidityUnited Statesatrial fibrillationcomorbidityheart failurelatent class analysismyocardial infarction

Identifiers

PMID37354026
PMCPMC10592495

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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.