Evidence map›Paper›PMID 39175029›Full record

ArticleDiabetology & metabolic syndrome2024

Risk variables of heart failure among patients in China: grey relational approach based multi-dimensional assessment study.

Xue Wang, Chao Deng, Xiantong Cao, Heng Gao

Abstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xue WangDepartment of Cardiovascular Surgery, First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, 710061, P.R. China.ORCID http://orcid.org/0009-0007-1593-5318
Chao DengDepartment of Cardiovascular Surgery, First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, 710061, P.R. China.ORCID http://orcid.org/0009-0007-7690-219X
Xiantong CaoDepartment of Cardiovascular Surgery, First Affiliated Hospital of Xi'an Jiaotong University, No. 277 Yanta West Road, Xi'an, 710061, P.R. China.ORCID http://orcid.org/0009-0003-7070-9074
Heng GaoDepartment of Emergency Internal Medicine, Shaanxi Provincial People's Hospital, 256 Youyi West Road, Xi'an, 710068, P.R. China. heng.ga1aoo@gmail.com.ORCID http://orcid.org/0009-0005-3710-6225

Funding

Key Research and Development Projects of Shaanxi Province S2021-YF-YBSF-0536
6 · The paper itself

Abstract

backgroundUnderstanding the potential risk factors of heart diseases is key to effectively managing cardiac diseases. The present study quantifies the association of identified risk factors. In addition, the study has compared the association of mortality with hypertension, uncontrolled diabetes, and uncontrolled hyperlipidemia using Grey Relational Approach (GRA) for stroke, lung diseases, smoking, stress, obesity, and lack of exercise.

methodData on risk factors of heart failure were collected from the Global Burden of Disease (GBD) study (2001-2017). From the GBD database, variables have selected the top leading risk factors responsible for mortality from cardiac diseases. Data on risk factors was analyzed using the GRA procedure (utilizing Grey [8.0] software). In the GRA method, the correlation was categorized into three components: GRA - Deng (assesses the effect of one variable specified by data on the other variables), GRA- absolute (assesses the association between variables measured), and GRA-SS (assessed the overall association between the variables measured). Stroke, lung diseases, smoking, stress, obesity, and lack of exercise were taken as dependent variables and their impact was assessed. Hypertension (high grade) uncontrolled diabetes, and uncontrolled hyperlipidemia were considered as independent variables. The relationship between dependent and independent variables was assessed.

resultsOverall correlational analysis showed that type 2 diabetes (T2DM) is the risk factor that has a strong relationship with causing heart failure and thereby increases morbidity and mortality among Chinese patients. After T2DM, the second highest risk factor associated was severe dyslipidemia which is responsible for causing heart failure. High-grade hypertension is one-third most common risk factor in causing heart failure. GRA - Deng analysis showed that T2DM is the top risk factor associated with heart failure, followed by high-grade hypertension and severe dyslipidemia (uncontrolled). GRA-absolute analysis showed that severe dyslipidemia is the top risk factor associated with heart failure, followed by high-grade hypertension and T2DM (uncontrolled). GRA-SS analysis showed that high-grade hypertension is the top risk factor associated with heart failure, followed by severe dyslipidemia and T2DM (uncontrolled).

conclusionsThe study reported that T2DM, severe dyslipidemia, and high-grade hypertension as strongly correlated with the development of heart failure after considering other several key risk factors (stroke, lung diseases, smoking, stress, obesity, and lack of exercise). LEVEL OF EVIDENCE: IV. TECHNICAL EFFICACY: Stage 5.

Indexed as

Biological markersDyslipidemiaGrey relational approachHeart failureHypertensionType 2 diabetes

Identifiers

PMID39175029
PMCPMC11342689

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.