Trial reportHawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health2014
Association of modifiable risk factors and left ventricular ejection fraction among hospitalized Native Hawaiians and Pacific Islanders with heart failure.
Trial report in Hawai'i journal of medicine & public health : a journal of Asia Pacific Medicine & Public Health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed, 4 citations in OpenAlex.
- A scoping review on cardiometabolic risk factors among Pacific Island populations and implications on future research in the region.American journal of epidemiology · 2026Article
- Racial/Ethnic Differences in Early Detection and Screening for Chronic Kidney Disease Among Adults in Hawaii: A 10-Year Population Health Study.Preventing chronic disease · 2020Article
- Culturally responsive approaches to health promotion for Native Hawaiians and Pacific Islanders.Annals of human biology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
backgroundHeart failure (HF) disproportionately affects Native Hawaiians and Other Pacific Islanders (NHOPIs). This study examines risk factors associated with left ventricular ejection fraction (LVEF) among 151 hospitalized NHOPI HF patients enrolled at a single tertiary care hospital between June 2006 and April 2010.
methodsEnrollment criteria: (1) NHOPI by self-identification. (2) Age ≥ 21 yrs. (3) Diagnosis of HF defined: (a) left ventricular ejection fraction (LVEF) ≤ 40% or LVEF ≤ 60% with abnormal diastolic function and (b) classic HF signs/symptoms. LVEF was measured by echocardiography within 6 weeks of hospitalization. Clinical measures, medical history, and questionnaires were assessed using standardized protocols. Linear regression modeling was used to examine the association of significant correlates of LVEF, which were then included en bloc into the final model. A P-value < .05 was considered statistically significant.
resultsOf 151 participants, 69% were men, mean age 54.3 ± 13.5 years, blood pressure 112 ± 20/69 ± 15 mmHg, and body mass index (BMI) 36.9 ± 9 kg/m(2). Twenty-five percent of participants were smokers, 45% used alcohol and 23% reported a history of methamphetamine use. Clinically, 72% had hypertension, 49% were diabetic and 37% had a prior myocardial infarction. Nearly 60% had moderate to severe LVEF (< 35%). Higher LVEF was independently associated with female sex and greater BMI (P < .04) while pacemaker/defibrillator and methamphetamine use was independently associated with lower LVEF (P < .05).
conclusionsMethamphetamine use and BMI may be important modifiable risk factors associated with LVEF and may be important targets for improving HF morbidity and mortality.
Indexed as
Identifiers
25535596PMC4271351W2401102894What 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.