Evidence map›Paper›PMID 36935175›Full record

ArticleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences2023

Correlation between serum cystatin C and lipid level in patients with chronic heart failure.

Fengyang Ni, Yu Xiang

Open access · greenAbstract read
In one paragraph

Article in Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences, 2023. 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
–field-weighted citation impact, top 97% of its field
1 · What the graph read from it

What it found

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3 · Its place in the literature

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1 citing paper in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Fengyang NiDepartment of Cardiovascular Medicine, 521 Hospital of Norinco Group, Xi'an 710065. single520zx202201@126.com.
Yu XiangDepartment of Cardiovascular Medicine, Shaanxi Provincial People's Hospital, Xi'an 710068, China. single520@126.com.
First Hospital of Xi'an · CNShanxi Medical University · CN

Funding

the Innovative Talent Promotion Program Youth Science and Technology Nova Project of Shaanxi Province, China 2020KJXX-086
6 · The paper itself

Abstract

objectivesSerum cystatin C (Cys C) and blood lipid levels are related to the occurrence and development of chronic heart failure (CHF). However, there are few reports on the correlation between blood lipid level and serum Cys C level in patients with CHF. The aim of this study is to explore the correlation between serum Cys C level and blood lipid level in patients with CHF, and to provide valuable reference for clinical diagnosis and treatment of CHF.

methodsA total of 336 CHF patients who were hospitalized in the Department of Cardiovascular Medicine of Shaanxi Provincial People's Hospital from October 2017 to July 2018 were included and they were divided into a Cys C normal group (n=180) and a Cys C abnormal group (n=156) according to serum Cys C level of the patients. The general data, laboratory indicators, and cardiac ultrasound results were compared between the 2 groups. Pearson correlation analysis was used to detect the correlation between serum Cys C level and blood lipid level and other factors, and the data related to Cys C were further analyzed by multivariate logistic regression.

resultsCompared with the Cys C normal group, patients in the Cys C abnormal group had lower left ventricular ejection fraction (LVEF) (P<0.001), older age (P=0.030), higher incidence rate of diabetes and smoking index (P=0.002 and P=0.003, respectively). The levels of serum creatinine (SCr), blood urea nitrogen (BUN), and total bilirubin (TBIL) were higher (all P<0.001), while the levels of high density lipoprotein (HDL), apolipoprotein (Apo) A, and albumin (ALB) were lower (P<0.001, P=0.001, and P=0.003, respectively) in the Cys C abnormal group. Pearson correlation analysis showed that serum Cys C level was negatively correlated with platelet count, HDL, Apo A, ALB, and LVEF. It was positively correlated with smoking index, mean platelet volume, neutrophil ratio, BUN, and TBIL (all P<0.05). The results of multivariate logistic regression analysis showed that the decreased HDL level was a risk factor for the abnormality of serum Cys C in patients with CHF (OR=0.119, P=0.003), while Apo A was not a risk factor for its abnormality (P=0.337).

conclusionsHDL might be the only blood lipid index associated with abnormal serum Cys C in patients with CHF.

Indexed as

Cystatin CHeart FailureChronic DiseaseHumansLipidsStroke VolumeVentricular Function, LeftCystatin CLipidsapolipoprotein Ablood lipidchronic heart failurecystatin Chigh density lipoprotein

Identifiers

PMID36935175
PMCPMC10930551
OpenAlexW4327896737

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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.