scholarly journals Could remnant-like particle cholesterol become a risk factor in diabetic menopausal women with coronary artery disease? A cross-sectional study of single academic center in China

2020 ◽  
Author(s):  
Xunxun Feng ◽  
Qianyun Guo ◽  
Shu Zhou ◽  
Tienan Sun ◽  
Yuyang Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Logistic Regression ◽  
Risk Factor ◽  
Independent Risk Factor ◽  
Age Groups ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Menopausal Women ◽  
Artery Disease

Abstract Background and aims It has been confirmed that remnant-like particle cholesterol (RLP-C) mediates the progression of coronary artery disease (CAD). Currently there is limited information on RLP-C in menopausal women. With the special status of diabetes mellitus (DM) combined with the special body changes of the menopausal women, the RLP-C is particularly important when studying the changes that occurred in response to CAD and its associated risk factors. This study discussed whether RLP-C could be an independent risk factor for menopausal women with CAD and DM. Methods The cohort consisted of 4753 menopausal women who had undergone coronary angiography. Subjects were separated into CAD and non-CAD groups, and univariate and multivariate logistic regression analysis of CAD risk factors were performed. All patients with a history of DM were divided into DM subgroups. Then, the univariate and multivariate logistic regression analysis of the risk factors of CAD and the comparison among age groups in the DM subgroup were performed. After age stratification of the DM group, the Kruskal-Wallis test was used to analyze the differences of various lipid indexes among age groups. Results The multivariate logistic regression showed that RLP-C was an independent risk factor for CAD in menopausal women (OR 1.232, 95%CI 1.070-1.419). In the DM subgroup, it was also found that RLP-C was an independent risk factor for CAD (OR 1.366, 95%CI 1.043-1.791). Kruskal-Wallis test analysis found that RLP-C had no significant difference among three groups (P>0.05). Conclusions RLP-C was proved to be an independent risk factor for menopausal women with CAD and DM.

Could remnant lipoprotein cholesterol become a risk factor in diabetic menopausal women with coronary artery disease? A cross-sectional study of single academic center in China

2020 ◽  
Author(s):  
Xunxun Feng ◽  
Qianyun Guo ◽  
Shu Zhou ◽  
Tienan Sun ◽  
Yuyang Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Risk Factor ◽  
Independent Risk Factor ◽  
Age Groups ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Remnant Lipoprotein ◽  
Menopausal Women ◽  
Artery Disease

Abstract Background and aimsIt had been confirmed that remnant lipoprotein cholesterol (RLP-C) mediates the progression of coronary artery disease (CAD). Currently there was limited information on RLP-C in menopausal women. With the special status of diabetes mellitus (DM) combined with the special body changes of the menopausal women, the RLP-C was particularly important when studying the changes that occurred in response to CAD and its associated risk factors. This study discussed whether RLP-C could be an independent risk factor for menopausal women with CAD and DM.MethodsThe cohort consisted of 4753 menopausal women who had undergone coronary angiography. Subjects were separated into CAD and non-CAD groups, and univariate and multivariate logistic regression analysis of CAD risk factors were performed. All patients with a history of DM were divided into DM subgroups. Then, the univariate and multivariate logistic regression analysis of the risk factors of CAD and the comparison among age groups in the DM subgroup were performed. After age stratification of the DM group, the Kruskal-Wallis test was used to analyze the differences of various lipid indexes among age groups. Results The univariate and multivariate logistic regression showed that RLP-C was an independent risk factor for CAD in menopausal women (OR 1.274, 95%CI 1.107-1.467, P=0.001). In the DM subgroup, it was also found that RLP-C was an independent risk factor for CAD (OR 1.243, 95%CI 1.078-1.433, P=0.003). Kruskal-Wallis test analysis found that RLP-C had no significant difference among three groups (P>0.05).ConclusionsRLP-C was proved to be an independent risk factor for menopausal women with CAD and DM.

Risk Factors for Aortic Valve Calcification in Patients on Regular Hemodialysis

2009 ◽  
Vol 32 (3) ◽  
pp. 173-179 ◽  
Author(s):  
Dejan Petrović ◽  
Radmila Obrenović ◽  
Biljana Stojimirović
Keyword(s):  
Risk Factors ◽  
Regression Analysis ◽  
Risk Factor ◽  
Aortic Valve ◽  
Independent Risk Factor ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Aortic Valve Calcification ◽  
Valve Calcification ◽  
Regular Hemodialysis

Introduction Aortic valve calcification (AVC) accelerates development of aortic valve stenosis and cardiovascular complications. Hyperphosphatemia is one of the key risk factors for aortic valve calcification. Aim The aim of this study was to evaluate the prevalence of AVC in patients on regular hemodialysis and to assess the impact of different factors on its appearance. Method: The study investigated a total of 115 patients treated in the Hemodialysis Department of the Urology and Nephrology Clinic at the Kragujevac Clinical Center in Serbia. The variables investigated were: serum albumin, C-reactive protein (CRP), homocysteine, total cholesterol, LDL-cholesterol (LDL-C), HDL-cholesterol (HDL-C), triglycerides (TG), Apolipoprotein A-I (Apo A-I), Apolipoprotein B (Apo B) and lipoprotein (a), calcium, phosphate and parathormone, and calcium-phosphorus product (Ca × P). Patients were evaluated by echocardiography for AVC. Statistical analysis included univariate and multivariate logistic regression analysis. Results Univariate regression analysis showed that serum phosphate levels and Ca × P are the most important risk factors for AVC (p<0.001). Multivariate logistic regression analysis revealed that hyperphosphatemia is an independent risk factor for AVC (p<0.001). Conclusion Hyperphosphatemia is an independent risk factor for aortic valve calcification.

scholarly journals Delayed diagnosis of critical congenital heart defects predicting risk factors and survival rate in newborns in Beijing: a retrospective study

2021 ◽  
Vol 49 (7) ◽  
pp. 030006052110280
Author(s):  
Wen Zhang ◽  
Hong-Yan Xu ◽  
Yan-Chun Zhang ◽  
Kai-Bo Liu
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Retrospective Study ◽  
Congenital Heart ◽  
Heart Defects ◽  
Delayed Diagnosis ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression

Objective To assess the prevalence and survival rate of newborns with a delayed diagnosis of critical congenital heart defects (CCHD) in Beijing. Methods This retrospective study analysed data from births between 2010 and 2017 from the Birth Defects Monitoring Network in Beijing. Newborns with CCHD were analysed according to seven categories. Statistical analyses were used to calculate the mortality rate within the first week (days 0–6) after live birth. Multivariate logistic regression analysis of survival was performed to analyse the potential risk factors for newborn mortality. Results A total of 1 773 935 perinatal newborns were screened in Beijing and 1851 newborns were diagnosed with CCHD, showing a prevalence of 10.43 per 10 000. Among the total 1851 CCHD patients, the majority (1692 of 1851; 91.41%) were identified through prenatal diagnosis, 104 of 1851 (5.62%) were diagnosed before obstetric discharge/transfer and 55 of 1851 (2.97%) were identified through delayed diagnosis. The prevalence of CCHD in newborns was 1.96 per 10 000 births. Multivariate logistic regression analysis of survival demonstrated that gestational age at delivery was the only risk factor for death within the first week after birth. Conclusions Within the first week after birth, gestational age was the only risk factor for death in newborns with CCHD.

TCF21 variant is a risk factor for coronary artery disease and will it be a prognostic marker?

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
M Temtem ◽  
M Serrao ◽  
A Pereira ◽  
M Santos ◽  
F Mendonca ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Logistic Regression ◽  
Coronary Artery ◽  
Cox Regression ◽  
Multivariate Logistic Regression Analysis ◽  
Rank Test ◽  
Major Adverse Cardiovascular Events ◽  
Multivariate Logistic Regression ◽  
Artery Disease

Abstract Background TCF21 gene, encodes a basic-helix- loop- helix transcription factor, playing a critical action in the development of epicardial progenitor cells that give rise to coronary artery smooth muscle cells (SMC) and cardiac fibroblasts. Recent data suggest that TCF21 may play a role in the state of differentiation of SMC precursor cells that migrate to vascular lesions and contribute to fibrous cap. Purpose Investigate the association of TCF21 rs12190287G&gt;C variant with coronary artery disease (CAD) in a Portuguese population and its role on the prognosis. Methods Case-control study with 3120 participants, 1687 coronary patients with at least 75% obstruction of a major coronary artery and 1433 controls. Genotyping used the TaqMan technique (Applied Biosystems) and then a univariate and multivariate logistic regression analysis were performed. After a mean follow-up of 5.01±4.2 years (interquartile range 1.96–7.57), the occurrence of the combined Major Adverse Cardiovascular Events (MACE) (Cardiovascular Mortality, non-fatal Myocardial Infarction, new Revascularization, Cerebrovascular Disease and Peripheric Vascular Disease) were registered and analysed by Cox regression. Finally, Kaplan-Meier survival estimate was performed. Results In the total population, GC+CC genotype was found to be associated with CAD with an OR of 1.285; CI: 1.022–1.614; p=0.031. After multivariate logistic regression, adjusted to traditional risk factors, the association with CAD remained significant for this genotype (OR=1.340; CI: 1.042–1.723; p=0.022).After Cox regression adjusted for confounding variables (age and sex, hypertension, diabetes, smoking, dyslipidemia, eGFR, Ejection fraction &lt;55) the mutated genotype remained a significant predictor of MACE (HR=1.420; CI: 1.032–1.953; p=0.031). The individuals carrying the mutated allele (GC+CC) at the mean follow-up showed an event probability of 36.1%, whereas the wild population (GG) presented only 23.4%. The Log-Rank test showed significant differences between the two curves (p=0.019). Conclusion The mutated TCF21 variant can provide a new marker to identify patients at high cardiovascular risk and may representa potential target for gene therapy in future. Figure 1 Funding Acknowledgement Type of funding source: None

Remnant Lipoprotein Cholesterol Independently Associates With In-Stent Restenosis After Drug-Eluting Stenting for Coronary Artery Disease

Angiology ◽  
2019 ◽  
Vol 70 (9) ◽  
pp. 853-859 ◽  
Author(s):  
Xiangyu Xu ◽  
Ram Udgar Pandit ◽  
Le Han ◽  
Yan Li ◽  
Xiaomei Guo
Keyword(s):  
Coronary Artery Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression ◽  
Stent Restenosis ◽  
Remnant Lipoprotein ◽  
Drug Eluting ◽  
Artery Disease ◽  
In Stent Restenosis

This study evaluated the prognostic value of remnant lipoprotein cholesterol (RLP-C) as a predictor of in-stent restenosis (ISR) after drug-eluting stent (DES) implantation in patients with coronary artery disease (CAD). Consecutive patients with CAD (n = 612) who underwent both successful coronary DES implantation and follow-up angiography ranging from 6 to 24 months were enrolled. The independent predictors of ISR were explored by multivariate logistic regression analysis; 95 (15.52%) patients were identified to have ISR. Multivariate logistic regression analysis showed that RLP-C concentration (odds ratio [OR]: 4.245, 95% confidence interval [CI]: 2.493-7.229), age (OR: 1.026, 95% CI: 1.002-1.051), diabetes mellitus (DM; OR: 1.811, 95% CI: 1.134-2.892), and lesion length (OR: 1.013, 95% CI: 1.002-1.024) were associated with ISR. Via subgroup analysis, we found that RLP-C was independently associated with ISR in both CAD with DM (OR: 4.154, 95% CI: 1.895-9.104) and CAD without DM (OR: 4.455, 95% CI: 2.097-9.464) groups. In the analysis of the receiver operating characteristics curve, RLP-C level >0.515 mmol/L exhibited 77.9% sensitivity and 56.5% specificity (area under the curve: 0.705, 95% CI: 0.648-0.762) in predicting ISR. In conclusion, RLP-C is independently associated with the development of ISR in patients with CAD after DES implantation.

scholarly journals Prevalence and risk factors of depression and anxiety for inpatients with lung cancer in China: A hospital-based cross-sectional study

2022 ◽  
Author(s):  
Xueqian Wang ◽  
Xuejiao Ma ◽  
Mo Yang ◽  
Yan Wang ◽  
Yi Xie ◽  
...  
Keyword(s):  
Risk Factors ◽  
Lung Cancer ◽  
Logistic Regression ◽  
Risk Factor ◽  
Univariate Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression Model ◽  
Depression And Anxiety ◽  
Multivariate Logistic Regression ◽  
Cross Sectional

Abstract Background Lung cancer was often accompanied by depression and anxiety. Nowadays, most investigations for depression and anxiety were concentrated in western medical hospitals, while few related studies have been carried out in the tradition Chinese medicine (TCM) ward. It was necessary to understand the prevalence and risk factors of depression and anxiety in the inpatients with lung cancer in TCM hospital. Methods This study adopted cross-sectional research method, which enrolled a total of 222 inpatients with lung cancer in TCM hospital. PHQ-9 and GAD-7 scales were used to assess depression and anxiety for the inpatients, respectively. Demographic and clinical data were also collected. Statistical methods of the univariate analysis and the multivariate logistic regression model were used. Results The prevalence of depression and anxiety in the inpatients with lung cancer were 58.1% and 34.2%, respectively. Multivariate logistic regression analysis prompted that the common risk factor of depression and anxiety was the symptom of insomnia. Constipation and gender were the two anther risk factors of depression. Conclusion Depression and anxiety were common for the inpatients with lung cancer in TCM hospital. Gender, insomnia and constipation were risk factors for depression, and insomnia was risk factor for anxiety. Therefore, medical workers should pay close attention to the emotional changes of these high-risk patients and intervene the symptoms as early as possible.

scholarly journals A Novel and Simply Calculated Cardiac Load Index Correlates With Coronary Artery Disease

2020 ◽  
Author(s):  
Yueqiao Si ◽  
Wenjun Fan ◽  
Jingyi Liu ◽  
Xiuxin Gao ◽  
Chao Han ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Risk Factor ◽  
Coronary Artery ◽  
Independent Risk Factor ◽  
Test Analysis ◽  
Simple Method ◽  
Logistic Regression Models ◽  
Artery Disease ◽  
Stable Cad

Abstract Background: No cardiac load index (CLI) has been established for patients with coronary artery disease (CAD). We propose a simple method for calculating CLI and explore the association of CLI with CAD.Methods: We enrolled 4145 consecutive inpatients with suspected stable CAD from December 2011 to June 2017 at the Chengde Medical University Affiliated Hospital. All patients were divided into the CAD (n=2914) and the NCAD groups (n=1231) according to coronary computed tomography angiography. We retrospectively collected data and calculated the CLI values of all patients. The receiver operating characteristic diagnostic test analysis was performed with CLI≥77, CLI≥125, CLI≥171, CLI≥217, and CLI≥264, respectively. Multivariate logistic regression models were established to determine the risk factors of CAD. Results: The CLI was significantly higher in the CAD group than in the NCAD group and higher in the male than in the female subgroup (both P<0.001). CLI≥171 was the diagnostic cut-off value. The predictive power of CLI≥171 for CAD improved after considering other risk factors. CLI≥171 is a new independent risk factor for CAD, and is an independent risk factor for CAD in males and females (all P<0.001).Conclusions: Increased CLI is an independent risk factor for CAD, it may be used as a predictor for the prevalence for CAD to improve diagnosis and prevention.

scholarly journals The Association between Cardiopulmonary Resuscitation in Out-of-Hospital Settings and Chest Injuries: A Retrospective Observational Study

2018 ◽  
Vol 33 (2) ◽  
pp. 171-175 ◽  
Author(s):  
Wataru Takayama ◽  
Hazuki Koguchi ◽  
Akira Endo ◽  
Yasuhiro Otomo
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Risk Factor ◽  
Cardiopulmonary Resuscitation ◽  
Observational Study ◽  
Independent Risk Factor ◽  
Retrospective Observational Study ◽  
Multivariate Logistic Regression ◽  
Chest Injuries ◽  
Independent Risk Factors

AbstractObjectivesThe aim of this study was to assess the risk of cardiopulmonary resuscitation (CPR) performed in out-of-hospital settings for chest injuries in patients with out-of-hospital cardiac arrest (OHCA).MethodsThis retrospective, observational study was conducted in an emergency critical care medical center in Japan. Non-traumatic OHCA patients transferred to the hospital from April 2013 through August 2016 were analyzed. The outcome was defined by chest injuries related to CPR, which is composite of rib fractures, sternal fractures, and pneumothoraces. A multivariate logistic regression analysis was performed to assess the independent risk factors for chest injuries related to CPR. The threshold of out-of-hospital CPR duration that increased risk of chest injuries was also assessed.ResultsA total of 472 patients were identified, of whom 233 patients sustained chest injuries. The multivariate logistic regression model showed that the independent risk factors for chest injuries were age and out-of-hospital CPR duration (age: AOR=1.06 [95% CI, 1.04 to 1.07]; out-of-hospital CPR duration: AOR=1.03 [95% CI, 1.01 to 1.05]). In-hospital CPR duration was not an independent risk factor for chest injuries. When the duration of out-of-hospital CPR extended over 15 minutes, the likelihood of chest injuries increased; however, this association was not statistically significant.ConclusionsLong duration of out-of-hospital CPR was an independent risk factor for chest injuries, possibly due to the difficulty of maintaining adequate quality of CPR. Further investigations to assess the efficacy of alternative CPR devices are expected in cases requiring long transportation times.TakayamaW, KoguchiH, EndoA, OtomoY. The association between cardiopulmonary resuscitation in out-of-hospital settings and chest injuries: a retrospective observational study. Prehosp Disaster Med. 2018;33(2):171–175.

Lipoprotein(a) and coronary artery disease in Chinese postmenopausal female patients: a large cross-sectional cohort study

2019 ◽  
Vol 95 (1128) ◽  
pp. 534-540 ◽  
Author(s):  
Shuo-Lin Liu ◽  
Na-Qiong Wu ◽  
Yuan-Lin Guo ◽  
Cheng-Gang Zhu ◽  
Ying Gao ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Coronary Artery ◽  
Logistic Regression Analysis ◽  
Independent Risk Factor ◽  
Lipoprotein A ◽  
Female Patients ◽  
Artery Disease

BackgroundIt has been reported that lipoprotein(a) (Lp(a)) is associated with the risk of cardiovascular disease. The present study aimed to examine the association of Lp(a) levels with the presence and severity of coronary artery disease (CAD) in female patients.MethodsA total of 3712 female patients who received coronary angiography were consecutively enrolled. The levels of Lp(a) were measured and compared among patients with or without CAD, myocardial infarction and menopause. Spearman correlation analysis and logistic regression analysis were used to examine the association of Lp(a) with the presence of CAD and the severity of coronary atherosclerosis assessed by Gensini score (GS).ResultsThe average of Lp(a) levels was elevated as age increased in female subjects. Notably, women after menopause had higher Lp(a) levels compared with that before menopause (16.8 mg/dL (IQR 7.54–41.12 mg/dL) vs 14.7 mg/dL (IQR 6.72–30.82 mg/dL), p=0.002). Furthermore, multiple logistic regression analysis identified that Lp(a)>30 mg/dL was an independent risk factor of CAD in the postmenopausal females (OR: 1.33, 95% CI: 1.08 to 1.63, p=0.007). Finally, Lp(a) had a positive correlation with GS (r=0.11, p<0.001), and Lp(a)>30 mg/dL was an independent risk factor for high GS (OR: 1.43, 95% CI: 1.14 to 1.79, p=0.02) in the postmenopausal females.ConclusionCirculating Lp(a) levels were independently associated with the presence and severity of CAD in the postmenopausal females, suggesting that Lp(a) may be useful for prevention and risk-stratification of CAD in female individuals.

scholarly journals Pericardial adipose tissue is an independent risk factor of coronary artery disease and is associated with risk factors of coronary artery disease

2020 ◽  
Vol 48 (6) ◽  
pp. 030006052092673
Author(s):  
Yueqiao Si ◽  
Zhixin Cui ◽  
Jingyi Liu ◽  
Zhenjiang Ding ◽  
Chao Han ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Adipose Tissue ◽  
Risk Factor ◽  
Coronary Artery ◽  
Independent Risk Factor ◽  
Density Lipoprotein ◽  
Pericardial Adipose Tissue ◽  
Artery Disease ◽  
Fat Volume

Objective Pericardial adipose tissue volume (PATV) is related to the mechanism of coronary artery disease (CAD), but its association with CAD risk factors is not clear. This study aimed to investigate the relationships between PATV and its associated factors. Methods A total of 682 inpatients were consecutively enrolled in this study. Patients were divided into the high PATV group (PATV ≥174.5 cm3; n = 506) and low PATV group (PATV  < 174.5 cm3; n = 176). Multiple linear regression analysis was conducted to evaluate the related factors of PATV. Multivariable logistic regression was used to analyze the risk factors of CAD. Results Left ventricular fat volume, right ventricular fat volume, body mass index, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol were significant and independent risk factors of enlargement of PATV. Increased PATV was identified as an independent risk factor of CAD, and increased pulse pressure was also independently and positively correlated with CAD. Conclusions PATV is significantly correlated with the classic risk factors of CAD. Pulse pressure is also correlated with PATV. PATV is an independent risk factor of CAD, and pericardial adipose tissue may alternatively be used in non-invasive diagnostic examination of CAD.

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