Li Jiaxin,Fan Ping.Multivariate Correlation Analysis of Risk Factors for Coronary Heart Disease Complicated with Chronic Heart Failure[J].J Clin Electrocardiol,2026,35(02):129-136.
Li Jiaxin,Fan Ping.Multivariate Correlation Analysis of Risk Factors for Coronary Heart Disease Complicated with Chronic Heart Failure[J].J Clin Electrocardiol,2026,35(02):129-136.DOI:
Multivariate Correlation Analysis of Risk Factors for Coronary Heart Disease Complicated with Chronic Heart Failure
Objective To explore the correlation of clinical data and 24-hour Holter electrocardiogram in patients with coronary heart disease(CHD) complicated with chronic heart failure(CHF). Methods This retrospective cross-sectional study included 424 patients with CHD who were hospitalized
for diagnosis and treatment at the First Affiliated Hospital of Xinjiang Medical University or four collaborating center hospitals from January 2023 to December 2024. The clinical data during the patients' hospitalization
including age
gender
white blood cells
red blood cells
platelets
estimated glomerular filtration rate (eGFR)
triglycerides (TG)
total cholesterol (TC)
low-density lipoprotein (LDL-C)
glycated hemoglobin
Left ventricular end-diastolic diameter (LVESD)
pulmonary artery systolic pressure (PASP) and left ventricular ejection fraction (LVEF)were all collected.The monitoring indicators of 24-hour Holter electrocardiogram such as the slowest heart rate
the fastest heart rate
the standard deviation of NN intervals (SDNN)
the triangular index
the average QTC interval of QT
and the heart rate deceleration rate (DC) were also collected. The research subjects were divided into the heart failure group (
n
=227) and the non-heart failure group (
n
=197) based on whether the CHD patients complicated with CHF. The clinical characteristics of the two groups were compared and the multivariate Logistic regression analysis was used to explore the relevant factors in patients with CHD complicated with CHF. Results Among the indicators monitored by Holter electrocardiogram
the results of multivariate Logistic regression analysis showed that the SDANN index (
OR
=0.943
95%
CI
: 0.906~0.981
P
<
0.05) was negatively correlated with CHD combined with CHF; the average QTC interval of QT (
OR
=1.008
95%
CI
: 1.001~1.014
P
<
0.05) was positively correlated with CHD combined with CHF. In the clinical data
the results of multivariate Logistic regression analysis showed that the albumin (
OR
=0.925
95%
CI
: 0.859~0.996
P
<
0.05)
LVEF (
OR
=0.930
95%
CI
:0.902~0.960
P
<
0.001) were n
egatively correlated with CHD combined with CHF; LDL-C (
OR
=1.734
95%
CI
: 1.146~2.625
P
<
0.05)
AST(
OR
=1.030
95%
CI
: 1.008~1.053
P
<
0.05)
PASP (
OR
=1.172
95%
CI
: 1.068~1.286
P
<
0.001) were positively correlated with CHD combined with CHF. Conclusions The SDANN index
average QTc interval of QT
albumin
LDL-C
AST
PASP and LVEF are the relevant factors for CHD combined with CHF. These relevant factors can assist clinicians in identifying high-risk patients with CHD combined with CHF at an early stage
which is of great significance for timely treatment to delay the progression of the disease.
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