scholarly journals To Analyze the Influencing Factors of Senile Coronary Heart Disease Patients Complicated with Frailty Syndrome

2022 ◽  
Vol 2022 ◽  
pp. 1-6
Author(s):  
Tian Qin ◽  
Wang Sheng ◽  
Guoheng Hu
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Logistic Regression ◽  
Uric Acid ◽  
Heart Disease ◽  
Cell Count ◽  
Influencing Factors ◽  
Neutrophil Count ◽  
Frailty Syndrome ◽  
Multivariate Logistic Regression

To analyze the influencing factors of senile coronary heart disease patients complicated with frailty syndrome. A total of 80 elderly patients with coronary heart disease admitted to our hospital from March 2020 to March 2021 were selected as the research subjects. The Fried Frailty Symptom Scale was used to evaluate whether the 80 patients were complicated with frailty syndrome. According to the evaluation results, the patients were divided into a nonfrailty syndrome group (52 cases in total) and frailty syndrome group (28 cases in total). Clinical data of two groups of patients were collected, and multivariate logistic regression was used to analyze the influencing factors of senile coronary heart disease patients complicated with frailty syndrome. Among 80 patients, the incidence of frailty syndrome was 35.00% (28/80), including 18 cases in early frailty and 10 cases in frailty stage. Univariate analysis showed that age, body mass (BMI), diabetes mellitus, congestive heart failure, chronic renal insufficiency, chronic obstructive pulmonary disease (COPD), tumor, high uric acid hematic disease, arrhythmia, interleukin-6 (IL-6), c-reactive protein (CRP), fibrinogen (FIB), brain natriuretic peptide (BNP), uric acid (UA), serum creatinine (Scr), serum protein (ALB), white blood cell count (WBC), and neutrophil count were the possible risk factors for senile coronary heart disease complicated with frailty syndrome ( P  < 0.05). Multivariate logistic regression analysis showed that combined COPD, combined tumor, IL-6, BNP, UA, SCR, ALB, and neutrophil count were independent risk factors for senile CHD complicated with frailty syndrome ( P  < 0.05). Combined with COPD, combined with tumor, IL-6, BNP, UA, SCR, ALB, and neutron cell count are the influencing factors for senile coronary heart disease patients complicated with frailty syndrome. These factors can be used as the basis for the diagnosis of frailty syndrome and guide the clinical development of targeted diagnosis and treatment plan.

Abstract P192: Metabolomic Profiles Associated with Coronary Heart Disease in Women

Circulation ◽  
2016 ◽  
Vol 133 (suppl_1) ◽  
Author(s):  
Nina P Paynter ◽  
Raji Balasubramanian ◽  
Shuba Gopal ◽  
Franco Giulianini ◽  
Leslie Tinker ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Logistic Regression ◽  
Heart Disease ◽  
Tier 2 ◽  
Validation Data ◽  
Data Set ◽  
Chd Risk ◽  
Tier 1 ◽  
Chd Risk Factors

Background: Prior studies of metabolomic profiles and coronary heart disease (CHD) have been limited by relatively small case numbers and scant data in women. Methods: The discovery set examined 371 metabolites in 400 confirmed, incident CHD cases and 400 controls (frequency matched on age, race/ethnicity, hysterectomy status and time of enrollment) in the Women’s Health Initiative Observational Study (WHI-OS). All selected metabolites were validated in a separate set of 394 cases and 397 matched controls drawn from the placebo arms of the WHI Hormone Therapy trials and the WHI-OS. Discovery used 4 methods: false-discovery rate (FDR) adjusted logistic regression for individual metabolites, permutation corrected least absolute shrinkage and selection operator (LASSO) algorithms, sparse partial least squares discriminant analysis (PLS-DA) algorithms, and random forest algorithms. Each method was performed with matching factors only and with matching plus both medication use (aspirin, statins, anti-diabetics and anti-hypertensives) and traditional CHD risk factors (smoking, systolic blood pressure, diabetes, total and HDL cholesterol). Replication in the validation set was defined as a logistic regression coefficient of p<0.05 for the metabolites selected by 3 or 4 methods (tier 1), or a FDR adjusted p<0.05 for metabolites selected by only 1 or 2 methods (tier 2). Results: Sixty-seven metabolites were selected in the discovery data set (30 tier 1 and 37 tier 2). Twenty-six successfully replicated in the validation data set (21 tier 1 and 5 tier 2), with 25 significant with adjusting for matching factors only and 11 significant after additionally adjusting for medications and CHD risk factors. Validated metabolites included amino acids, sugars, nucleosides, eicosanoids, plasmologens, polyunsaturated phospholipids and highly saturated triglycerides. These include novel metabolites as well as metabolites such as glutamate/glutamine, which have been shown in other populations. Conclusions: Multiple metabolites in important physiological pathways with robust associations for risk of CHD in women were identified and replicated. These results may offer insights into biological mechanisms of CHD as well as identify potential markers of risk.

scholarly journals Risk Factors for Acute Coronary Syndrome in Upper Gastrointestinal Bleeding Patients

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Tianyu Chi ◽  
Quchuan Zhao ◽  
Peili Wang
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Acute Coronary Syndrome ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Heart Disease ◽  
Gastrointestinal Bleeding ◽  
Upper Gastrointestinal Bleeding ◽  
Coronary Syndrome ◽  
Upper Gastrointestinal

Background. Upper gastrointestinal bleeding (UGIB) is a common critical disease with a certain fatality rate. Acute coronary syndrome (ACS), another critical ill condition, is a regular occurrence in the UGIB. We identified risk factors for ACS in UGIB. Methods. 676 patients diagnosed with UGIB were enrolled retrospectively. We assessed the occurrence of ACS in UGIB patients and identified the risk factors for ACS by logistic regression analysis and random forest analysis. Results. After propensity score matching (PSM), the ACS group ( n = 69 ) and non-ACS group ( n = 276 ) were analyzed. Logistic regression analysis showed that syncope ( P = 0.001 ), coronary heart disease history ( P = 0.001 ), Glasgow Blatchford score ( P ≤ 0.001 ), Rockall risk score ( P = 0.004 ), red blood cell distribution width (RDW) ( P ≤ 0.001 ), total bilirubin (TBil) ( P = 0.046 ), fibrinogen ( P ≤ 0.001 ), and hemoglobin ( P = 0.001 ) had important roles in ACS patients. With Mean Decrease Gini (MDG) sequencing, fibrinogen, RDW, and hemoglobin were ranked the top three risk factors associated with ACS. In ROC analysis, fibrinogen ( AUC = 0.841 , 95% CI: 0.779-0.903) and RDW ( AUC = 0.826 , 95% CI: 0.769-0.883) obtained good discrimination performance. According to sensitivity > 80 %, the pAUC of fibrinogen and RDW were 0.077 and 0.101, respectively, and there was no significant difference ( P = 0.326 ). However, according to specificity > 80 %, the pAUC of fibrinogen was higher than that of RDW (0.126 vs. 0.088, P = 0.018 ). Conclusion. Fibrinogen and RDW were important risk factors for ACS in UGIB. Additionally, combination with coronary heart disease, syncope, hemoglobin, and TBil played important roles in the occurrence of ACS. Meanwhile, it was also noted that Rockall score and Glasgow Blatchford score should be performed to predict the risk.

scholarly journals Hyperhomocysteinemia as an Independent Risk Factor for Coronary Heart Disease. Comparison with Conventional Risk Factors

2023 ◽  
Vol 83 ◽  
Author(s):  
R. Muzaffar ◽  
M. A. Khan ◽  
M. H. Mushtaq ◽  
M. Nasir ◽  
A. Khan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Logistic Regression ◽  
Risk Factor ◽  
Heart Disease ◽  
Independent Risk Factor ◽  
Plasma Homocysteine ◽  
History Of ◽  
The Mean ◽  
Conventional Risk Factors

Abstract The present study was designed to evaluate the strength of association of raised plasma homocysteine concentration as a risk factor for coronary heart disease independent of conventional risk factor. It was a case control study conducted at Punjab Institute of Cardiology Lahore. A total of 210 subjects aged 25 to 60 years comprising of 105 newly admitted patients of CHD as cases and 105 age and sex matched healthy individuals with no history of CHD as control were recruited for the study. Fasting blood samples were obtained from cases and controls. Plasma homocysteine was analyzed by fluorescence polarization immunoassay (FPIA) method on automated immunoassay analyzer (Abbott IMX). Total cholesterol, triglyceride and HDL cholesterol were analyzed using calorimetric kit methods. The concentration of LDL cholesterol was calculated using Friedewald formula. The patients were also assessed for traditional risk factors such as age, sex, family history of CVD, hypertension, smoking and physical activity, and were compared with control subjects. The collected data was entered in SPSS version 24 for analysis and interpretation.The mean age in controls and experimental groups were 43.00± 8.42 years and 44.72± 8.59 years with statistically same distribution (p- value= 0.144). The mean plasma homocysteine for cases was 22.33± 9.22 µmol/L where as it was 12.59±3.73 µmol/L in control group. Highly significant difference was seen between the mean plasma level of homocysteine in cases and controls (p˂0.001).Simple logistic regression indicates a strong association of coronary heart disease with hyperhomocysteinemia (OR 7.45), which remained significantly associated with coronary heart disease by multivariate logistic regression (OR 7.10, 95%C1 3.12-12.83, p=0.000). The present study concludes that elevated levels of Plasma homocysteine is an independent risk factor for coronary heart disease independent of conventional risk factors and can be used as an indicator for predicting the future possibility for the onset of CVD.

Relationship between Genetic Polymorphisms of Alcohol-metabolizing Enzymes and Changes in Risk Factors for Coronary Heart Disease Associated with Alcohol Consumption

2002 ◽  
Vol 48 (7) ◽  
pp. 1043-1048 ◽  
Author(s):  
Yoshiaki Hashimoto ◽  
Toshifumi Nakayama ◽  
Azusa Futamura ◽  
Miho Omura ◽  
Hideo Nakarai ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Coronary Heart Disease ◽  
Uric Acid ◽  
Heart Disease ◽  
Alcohol Consumption ◽  
Genetic Polymorphisms ◽  
Multiple Logistic Regression Analysis ◽  
Individual Variations ◽  
The Mean

Abstract Background: There are large individual variations in the responses of risk factors for coronary heart disease to alcohol consumption. To clarify the factors responsible for these individual variations, we studied the relationship between blood pressure, serum lipids, and uric acid and the genetic polymorphisms of alcohol dehydrogenase (ADH) 2 and aldehyde dehydrogenase (ALDH) 2 in alcohol drinkers. Methods: We examined 133 male workers who drank &gt;300 g of alcohol per week. Information regarding lifestyle habits was obtained by questionnaire. The ADH2 genotype was determined by PCR and subsequent digestion with MaeIII. The ALDH2 genotype was determined based on amplified product length polymorphisms. Results: When the workers were divided into three groups: the ADH21/21, ADH21/22, and ADH22/22 groups, the mean triglycerides and γ-glutamyl transpeptidase concentrations were significantly higher in the ADH22/22 group than in the ADH21/21 group. In addition, multiple logistic regression analysis showed that the frequencies of individuals whose systolic blood pressure, triglycerides, and uric acid values were in the highest one third were significantly higher in the ADH22/22 group than in the ADH21/21 group. In contrast, no difference was observed between the ALDH21/21 and (ALDH21/22 + ALDH22/22) groups with regard to the mean value of any variable and to the frequency of individuals with any variable value in the highest one third. Conclusion: Individuals with the ADH21/21 genotype might suffer fewer negative effects of drinking.

Red cell distribution width in coronary heart disease: prediction of restenosis and its relationship with inflammatory markers and lipids

2018 ◽  
Vol 94 (1115) ◽  
pp. 489-494 ◽  
Author(s):  
Hang Qian ◽  
Zhihuan Luo ◽  
Chunmei Xiao ◽  
Jishun Chen ◽  
Dongfeng Li ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Heart Disease ◽  
Cell Count ◽  
White Cell Count ◽  
Density Lipoprotein ◽  
Red Cell ◽  
Cell Distribution ◽  
Distribution Width

BackgroundRed cell distribution width (RDW) is associated with a poor prognosis and adverse events in cardiovascular diseases. The aims of this study were to investigate the relationship between serum RDW levels and outcomes after percutaneous coronary intervention and to identify potential novel laboratory markers for evaluating the risk of in-stent restenosis (ISR) with stable angina pectoris.MethodsA total of 261 patients with coronary heart disease from Dongfeng General Hospital implanted with a coronary drug-eluting stent (DES) were enrolled in the study. We retrospectively analysed the role and prognosis values of serum parameters that were measured before angiography at the first admission. According to the results of the second angiogram, the patients were divided into two groups as follows: the non-ISR group (n=143) and the ISR group (n=118). The clinical characteristics and all laboratory data were considered for univariate and multivariate logistic regression analyses.ResultsThe white cell count, RDW, neutrophil count, C-reactive protein (CRP), total cholesterol, low-density lipoprotein cholesterol (LDL-C), blood urea nitrogen and uric acid levels were higher in the ISR group than in the non-ISR group. There were no differences in the rates of hypertension, fasting plasma glucose, red cell count, neutrophil to lymphocyte ratio, platelet count, triglyceride, high-density lipoprotein cholesterol and creatinine levels. In the univariate regression analysis, age, diabetes, white cell count, neutrophil count, RDW, CRP, total cholesterol, LDL-C, blood urea nitrogen, Gensini score and number of stents were predictors of ISR. According to the multiple logistic regression analysis, age, RDW and number of stents were independent predictors of ISR.ConclusionsPreprocedural blood parameters can independently predict ISR. Our study results demonstrated that a high preprocedural RDW is an independent predictor of DES restenosis.

scholarly journals Risk Factors for COVID-19 in Patients with Hypertension

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Xinxin Wang ◽  
Haihua Zhang ◽  
Huan Du ◽  
Ruina Ma ◽  
Yandong Nan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Risk Factor ◽  
Heart Disease ◽  
Neutrophil Count ◽  
Pulmonary Infection ◽  
Laboratory Data ◽  
Clinical Manifestations ◽  
Factors Associated ◽  
High Risk Factor

Background. Hypertension, as the most common comorbidity for patients with coronavirus disease 19 (COVID-19), has resulted in cases with more severe symptoms and higher mortality. The risk factors associated with COVID-19 in patients with hypertension are unknown. Methods. All the available and confirmed patients with COVID-19 from February 3 to March 10, 2020, were enrolled from Huoshenshan Hospital, Wuhan, China. The demographic characteristics, clinical manifestations, laboratory data, radiological assessments, and treatments on admission were extracted and compared. Univariate and multivariate logistic regression methods were used to explore risk factors associated with COVID-19 in patients with hypertension and the severity of the cohort. Results. A total of 430 available patients with COVID-19 were enrolled in the study, including 151 eligible patients with COVID-19 and hypertension. After PSM analysis, 141 patients without hypertension and 141 cases with hypertension were well matched. Compared with cases without hypertension, patients with hypertension were more severe (28.4% vs. 12.1%, p = 0.001 ). In multivariate analysis, we found that neutrophil count (OR: 1.471; p = 0.001 ), coronary heart disease (OR: 5.281; p = 0.011 ), and the level of K+ (OR: 0.273; p < 0.001 ) were associated with patients with hypertension. In addition, the percentage of pulmonary infection volume was larger in cases with hypertension (4.55 vs. 5.8, p = 0.017 ) and was a high risk factor for severe COVID-19 in patients with hypertension (OR: 1.084; p < 0.001 ). Conclusion. On admission, coronary heart disease, neutrophil count, and the level of K+ were associated with COVID-19 patients with hypertension. The percentage of the pulmonary infection volume was significantly larger in COVID-19 patients with hypertension and was a risk factor for COVID-19 severity of the cohort.

scholarly journals Inflammatory Cytokine Levels in Pulmonary Embolism Severity: A Retrospective Study

2021 ◽  
Author(s):  
Xiaoming Li ◽  
Yukun Li ◽  
Wenjing Ye ◽  
Xi Chen ◽  
Xuejun Guo ◽  
...  
Keyword(s):  
Coronary Heart Disease ◽  
Pulmonary Embolism ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Heart Disease ◽  
Respiratory Failure ◽  
Venous Thrombosis ◽  
Inflammatory Cytokines ◽  
Multivariate Logistic Regression Analysis ◽  
Multivariate Logistic Regression

Abstract Background: Inflammatory cytokines are involved in the development of venous thromboembolism (VTE) and may influence the mortality. But the association between their levels and severity of pulmonary embolism (PE) is unclear. This study aimed to investigate the association of inflammatory cytokines and PE severity. Methods: We retrospectively analyzed patients who were admitted to Xinhua Hospital with a confirmed diagnosis of PE between Jan 2019 and Apr 2021. Inflammatory cytokines were compared among different severities of PE groups. Spearman rank-order correlation analysis and multivariate Logistic regression analysis were used to analyze the relationship between cytokine level and PE severity. In addition, we estimated the association between comorbidities and PE severity by using multivariate Logistic regression analysis. Results: A negative correlation between IL-8 level and PE severity was found (r=-0.466, P=0.018). Comorbidities of coronary heart disease [3.76 (1.99-7.10) (P=0.000)], deep venous thrombosis [2.40 (1.15-5.01) (P=0.019)], respiratory failure [2.92 (1.33-6.4) (P=0.007)] were correlated with the severity of PE. Conclusions: IL-8 level is negative correlated with PE severity. Patients with comorbidities regarding coronary heart disease, deep venous thrombosis, and respiratory failure may have higher risk to surfer a more sever PE.

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