Dataset Information

The characteristics of risk factors in Chinese young women with acute coronary syndrome.

ABSTRACT:

Background

In recent years, the prevalence rate of acute coronary syndrome (ACS) in Chinese young women has been increasing significantly, becoming one of the main causes of death in young females. A matter of constant concern is what is the characteristics and differences in risk factors between young women with ACS and without ACS. This study aimed to investigate the characteristics and difference of risk factors in Chinese young women with ACS and to provide references for ACS prevention and treatment.

Methods

A 1:1 case-control study was conducted to evaluate risk factors of 415 young females with ACS (ACS group) who underwent PCI treatment and 415 young females without ACS (control group) who were hospitalized and confirmed by coronary angiography to exclude coronary heart disease from January 2010 to August 2016. The average age of the cases in groups was respectively (40.77?±?4.02) and (40.57?±?4.01) years-old (P?>?0.05).

Results

The risk factors in ACS group were overweight (64.10%), hypertension (49.88%), hyperlipidemia (40.72%), diabetes (23.37%), depression or anxiety (16.63%), gynecological diseases (16.39%), Hyperuricemia (14.94%), family history of early-onset CHD (14.94%), hyperhomocysteinemia (11.33%), hypothyroidism (9.64%), hypercholesterolemia (8.43%) and high C-reactive protein (7.47%), and were significant difference (P?ConclusionThe independent risk factors of ACS in young women are hyperlipidemia, hyperhomocysteinemia, overweight, high CRP, hypertension, hypothyroidism, gynecological diseases, depression or anxiety, cardiac insufficiency, hypercholesterolemia, diabetes, oral contraceptives, family history of early-onset CHD, and autoimmune diseases. The co-existence of multiple risk factors is the main cause suffering from ACS in young women.

SUBMITTER: Liu R

PROVIDER: S-EPMC7291564 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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Publications

The characteristics of risk factors in Chinese young women with acute coronary syndrome.

Liu Ruifang R Xu Fangxing F Zhou Yujie Y Liu Tongku T

BMC cardiovascular disorders 20200612 1

<h4>Background</h4>In recent years, the prevalence rate of acute coronary syndrome (ACS) in Chinese young women has been increasing significantly, becoming one of the main causes of death in young females. A matter of constant concern is what is the characteristics and differences in risk factors between young women with ACS and without ACS. This study aimed to investigate the characteristics and difference of risk factors in Chinese young women with ACS and to provide references for ACS prevent ...[more]

PMID: 32532208

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Project description:BackgroundThe formal risk assessment is essential in the management of acute coronary syndrome (ACS). In this study, we develop a risk model for the prediction of 3-year mortality for Chinese ACS patients with machine learning algorithms.MethodsA total of 2174 consecutive patients who underwent angiography with ACS were enrolled. The missing data among baseline characteristics were imputed using the MissForest algorithm based on random forest method. In model development, a least absolute shrinkage and selection operator (LASSO) derived Cox regression with internal tenfold cross-validation was used to identify the predictors for 3-year mortality. The clinical performance was assessed with decision curve analysis.ResultsThe average follow-up period was 27.82 ± 13.73 months; during the 3 years of follow up, 193 patients died (mortality rate 8.88%). The Kaplan-Meier estimate of 3-year mortality was 0.91 (95% confidence interval (CI): 0.890.92). After feature selection, 6 predictors were identified: Age," "Creatinine," "Hemoglobin," "Platelets," "aspartate transaminase (AST)" and "left ventricular ejection fraction (LVEF)". At tenfold internal validation, our risk model performed well in both discrimination (area under curve (AUC) of receiver operating characteristic (ROC) analysis was 0.768) and calibration (calibration slope was approximately 0.711). As a comparison, the AUC and calibration slope were 0.701 and 0.203 in Global Registry of Acute Coronary Events (GRACE) risk score, respectively. Additionally, the highest net benefit of our model within the entire range of threshold probability for clinical intervention by decision curve analysis demonstrated the superiority of it in daily practice.ConclusionOur study developed a prediction model for 3-year morality in Chinese ACS patients. The methods of missing data imputation and model derivation base on machine learning algorithms improved the ability of prediction. . Trial registration ChiCTR, ChiCTR-OOC-17010433. Registered 17 February 2017-Retrospectively registered.

Project description:ImportancePericoronary adipose tissue (PCAT) computed tomography (CT) attenuation measured from coronary CT angiography (CTA) may be a promising metric in identifying high-risk plaques.ObjectiveTo determine whether high-risk plaque characteristics from coronary CTA are associated with PCAT CT attenuation in patients with a first acute coronary syndrome (ACS) and matched controls with stable coronary artery disease (CAD).Design, setting, and participantsThis retrospective, single-center case-control study (data were acquired at the University of Erlangen from 2009-2010) analyzed the CTA data sets of 19 patients who presented with ACS and 16 controls with stable CAD who were matched based on sex, age, and risk factors. Study observers were blinded to patients' clinical data. Semiautomated software was used to quantify and characterize plaques. The CT attenuation (Hounsfield unit [HU]) of PCAT was automatically measured around all lesions.Main outcomes and measuresTo investigate the association between high-risk plaque characteristics from CTA and PCAT CT attenuation as a novel surrogate measure of coronary inflammation.ResultsA total of 35 patients (mean [SD] age, 59.5 [11.3] years; 30 men [86%] and 5 women [14%]) were included in the analysis. Low- and intermediate-attenuation noncalcified plaque (NCP) burden were increased in culprit lesions (n = 19) compared with both nonculprit lesions (n = 55) in patients with ACS (12.6% vs 3.6%; P < .001; 38.4% vs 19.4%; P < .001) and the control group's highest-grade stenosis lesions (n = 16) (12.6% vs 5.6%; P = .002; 38.4% vs 22.1%; P < .001). Pericoronary adipose tissue attenuation was increased around culprit lesions (n = 19) compared with nonculprit lesions (n = 55) in patients with ACS (-69.1 HU vs -74.8 HU; P = .01) and highest-grade stenosis lesions in control patients (n = 16) (-69.1 HU vs -76.4 HU; P = .01). Pericoronary adipose tissue CT attenuation of all lesions in patients with ACS (n = 74) correlated more strongly with intermediate-attenuation (r = 0.393; P = .001) over low-attenuation (r = 0.221; P = .06) and high-attenuation NCP burden (r = -0.103; P = .38). In a multivariable analysis, low- and intermediate-attenuation NCP burden and PCAT CT attenuation were independently associated with the presence of culprit lesions (P < .05).Conclusions and relevancePericoronary CT attenuation was increased around culprit lesions compared with nonculprit lesions of patients with ACS and the lesions of matched controls. Combined quantitative high-risk plaque features and PCAT CT attenuation may allow for a more reliable identification of vulnerable plaques.

Dataset Information

The characteristics of risk factors in Chinese young women with acute coronary syndrome.

Background

Methods

Results

Publications

The characteristics of risk factors in Chinese young women with acute coronary syndrome.

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