Evidence map›Paper›PMID 35465084›Full record

ArticleCardiology research2022

Echocardiographic Parameters and Outcomes in Methamphetamine-Associated Heart Failure: A Propensity Score-Weighted Analysis.

Jakrin Kewcharoen, Andrew K Chang, Purvi Parwani, Gary Fraser, Aditya Bharadwaj, Ahmed Seliem, Diane Tran, Liset Stoletniy, Antoine Sakr, Dmitry Abramov

Open access · diamondAbstract read
In one paragraph

Article in Cardiology research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
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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

10 authors at 2 institutions in 1 country.

Jakrin KewcharoenDepartment of Medicine, Division of Cardiology, Loma Linda University Medical Center, Loma Linda, CA, USA.
Andrew K ChangDepartment of Medicine, Division of Cardiology, Loma Linda University Medical Center, Loma Linda, CA, USA.
Purvi ParwaniDepartment of Medicine, Division of Cardiology, Loma Linda University Medical Center, Loma Linda, CA, USA.
Gary FraserDepartment of Medicine, Division of Cardiology, Loma Linda University Medical Center, Loma Linda, CA, USA.
Aditya BharadwajDepartment of Medicine, Division of Cardiology, Loma Linda University Medical Center, Loma Linda, CA, USA.
Ahmed SeliemDepartment of Medicine, Division of Cardiology, Loma Linda University Medical Center, Loma Linda, CA, USA.
Diane TranDepartment of Medicine, Division of Cardiology, Loma Linda University Medical Center, Loma Linda, CA, USA.
Liset StoletniyDepartment of Medicine, Division of Cardiology, Loma Linda University Medical Center, Loma Linda, CA, USA.
Antoine SakrDepartment of Medicine, Division of Cardiology, Loma Linda University Medical Center, Loma Linda, CA, USA.
Dmitry AbramovDepartment of Medicine, Division of Cardiology, Loma Linda University Medical Center, Loma Linda, CA, USA.
Loma Linda University · USLoma Linda University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methamphetamines are a common cause of systolic heart failure (HF). There are limited data on the prognosis associated with hospitalizations for decompensated HF in the setting of methamphetamine use. We aimed to evaluate patient characteristics and outcomes among patients admitted with decompensated HF who had positive drug screens for amphetamines as well as to determine whether any parameters from transthoracic echocardiogram (TTE) can predict outcomes in this population. Methods: This was a retrospective cohort study of consecutive adult patients admitted to the Loma Linda Medical Center who had an active hospital problem of acute on chronic systolic (or systolic and diastolic) HF from 2013 to 2018. Electronic medical records were mined for relevant patient data. Methamphetamine-associated heart failure (MethHF) group was defined as those with an admission urine drug screen (UDS) that was positive for methamphetamines, whereas non-MethHF was defined by patients with negative methamphetamine on UDS or UDS was not done on physician's discretion. The primary outcomes of the study were 30-day composite outcome (defined as combined all-cause readmission and all-cause mortality), 365-day all-cause mortality, and length of stay (LOS). Propensity score weighting for these outcomes was performed using demographics, laboratory and clinical variables, and left ventricular ejection fraction (LVEF) as covariates. TTE parameters from presentation were also evaluated to determine if any had prognostic implications. Results: A total of 1,655 patients were included (101 patients with positive urine methamphetamine and 1,554 patients without). Patients with MethHF were younger, more likely to be male, had fewer comorbidities, had lower LVEF, and were more likely to have right ventricular systolic dysfunction. In propensity-weighted analyses, there were no significant differences in LOS, 30-day composite outcome, or 365-day mortality between the MethHF and non-MethHF group in (P > 0.05 for all). Presence of at least moderate tricuspid valve regurgitation (TR) was the only TTE predictor of 30-day composite outcome (odds ratio (OR) = 4.67, 95% confidence interval (CI): 1.5 - 14.50, P < 0.01) and 365-day mortality (OR = 4.67, 95% CI: 1.5 - 14.50, P < 0.01) in the MethHF group. Conclusion: Patients with MethHF admitted for decompensated HF had similar outcomes compared to non-MethHF after adjusting for baseline characteristics. TR is the only TTE value to predict outcomes in this population.

Indexed as

EchocardiogramHeart failureMethamphetamineMortalityReadmission

Identifiers

PMID35465084
PMCPMC8993440
OpenAlexW4224482778

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Registered trials

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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.