Evidence map›Paper›PMID 32245637›Full record

ArticleThe American journal of cardiology2020

Relation of a Simple Cardiac Co-Morbidity Count and Cardiovascular Readmission After a Heart Failure Hospitalization.

Aayush Visaria, Lauren Balkan, Laura C Pinheiro, Joanna Bryan, Samprit Banerjee, Madeline R Sterling, Udhay Krishnan, Evelyn M Horn, Monika M Safford, Parag Goyal

Open access · greenAbstract read
In one paragraph

Article in The American journal of cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Aayush VisariaRutgers New Jersey Medical School, Newark, New Jersey.
Lauren BalkanDepartment of Medicine, Weill Cornell Medicine, New York, New York.
Laura C PinheiroDivision of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, New York.
Joanna BryanDivision of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, New York.
Samprit BanerjeeDepartment of Healthcare Policy & Research, Weill Cornell Medicine, New York, New York.
Madeline R SterlingDivision of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, New York.
Udhay KrishnanDivision of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, New York.
Evelyn M HornDivision of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, New York.
Monika M SaffordDivision of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, New York.
Parag GoyalDivision of General Internal Medicine, Department of Medicine, Weill Cornell Medicine, New York, New York; Division of Cardiology, Department of Medicine, Weill Cornell Medicine, New York, New York. Electronic address: pag9051@med.cornell.edu.
Cornell University · USRutgers, The State University of New Jersey · US

Funding

Impact of Polypharmacy on Rehospitalization in Older Adults with Heart FailureR03AG056446 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI GOYAL, PARAG · 2017 to 2018
$265k
NIA NIH HHS R03 AG056446
6 · The paper itself

Abstract

Although several risk calculators are available to determine risk for readmission following a heart failure (HF) hospitalization, none provide information on cause-specific readmission. Understanding risk for cause-specific readmission could aid in developing a targeted approach to reducing readmissions. We sought to determine if a simple cardiac co-morbidity count could identify individuals at high risk for a cardiovascular (CV) readmission following a HF hospitalization. Using the Nationwide Readmissions Database, we examined nonfatal hospital discharges with a principal diagnosis of HF. We calculated a 0 to 3 cardiac co-morbidity count based on the presence of coronary artery disease, atrial arrhythmia, and/or ventricular arrhythmia. We used a multinomial logistic regression to determine if the cardiac co-morbidity count was independently associated with CV readmission or non-CV readmission, adjusting for patient- and hospital-level confounders. In 380,075 discharges, 28% had a co-morbidity count of 0, 47% had a count of 1, 23% had a count of 2, and 2% had a count of 3. In a fully adjusted model, cardiac co-morbidity count was independently associated with CV readmission: compared with individuals with a count of 0, the relative risk for those with a count of 1 was 1.27 (95% confidence interval [CI]: 1.23 to 1.31); for those with a count of 2 was 1.40 (95% CI: 1.35 to 1.46); and for those with a count of 3 was 1.36 (95% CI: 1.23 to 1.51). Cardiac co-morbidity count was not independently associated with non-CV readmission. In conclusion, we found that a simple cardiac co-morbidity count was independently associated with increased risk of CV but not non-CV readmission.

Indexed as

Hospital MortalityAgedAge FactorsAlgorithmsFemaleHeart FailureHumansMaleMiddle AgedPatient ReadmissionRisk FactorsShock, CardiogenicSleep Apnea, ObstructiveSurvival RateUnited States

Identifiers

PMID32245637
PMCPMC8819501
OpenAlexW3009249830

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.