scholarly journals Mild Malnutrition Contributes the Greatest to the Poor Prognosis in Coronary Artery Disease With Well-Controlled Low-Density Lipoprotein Cholesterol Levels: A 4,863 Chinese Cohort Study

2021 ◽  
Vol 8 ◽  
Author(s):  
Bo Wang ◽  
Zhaodong Guo ◽  
Jin Liu ◽  
Huanqiang Li ◽  
Ziling Mai ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Hazard Ratio ◽  
Cox Regression Analysis ◽  
All Cause Mortality ◽  
Independent Risk Factors ◽  
Artery Disease

Background: Previous studies reported that patients with coronary artery disease (CAD) and well-controlled baseline LDL-C (<1.8 mmol/L) still had higher long-term all-cause mortality. However, no study has been conducted to explore the independent risk factors for long-term mortality. In addition, there also was no study evaluating the population attributable risk (PAR) of independent risk factors in combination with their prevalence and relative risk. Therefore, we aimed to identify the independent risk factors and estimate their PAR in patients with CAD and well-controlled baseline LDL-C (<1.8 mmol/L).Methods: We analyzed 4,863 consecutive CAD patients with well-controlled baseline LDL-C admitted to Guangdong Provincial People's Hospital in China from January 2007 to December 2018. Independent risk factors for long-term all-cause death were evaluated through stepwise approach and multivariable Cox regression analysis. PAR of independent risk factors was calculated with their hazard ratio and prevalence among our cohort.Results: The overall mortality was 16.00% (n = 778) over a median follow-up period of 5.93 years. Independent risk factors for all-cause death included malnutrition, age ≥75 years, congestive heart failure (CHF), chronic kidney disease (CKD) and atrial fibrillation. Among these risk factors of interest, the hazard ratio (HR) of severe malnutrition was the highest (HR 2.82, 95% CI: 1.86–4.26), and the PAR of mild malnutrition was the highest (19.49%, 95% CI: 0.65–36.01%).Conclusion: Malnutrition, age ≥75 years, CHF, CKD and atrial fibrillation were independent predictors for long-term all-cause mortality in CAD patients with well-controlled LDL-C levels. Considering prevalence of these risk factors, more attention should be paid to the occurrence of mild malnutrition for these patients.Clinical Trial Registration:ClinicalTrials.gov, identifier: NCT04407936.

P3707CHA2DS2 VASC score as predictor of the incidence of stroke in patients with stable coronary artery disease and sinus rhythm in the long-term follow-up

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
J J Sanchez ◽  
M Ruiz-Ortiz ◽  
C Ogayar ◽  
D Mesa
Keyword(s):  
Atrial Fibrillation ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Stable Coronary Artery Disease ◽  
Hazard Ratio ◽  
Stroke Incidence ◽  
Long Term Follow Up ◽  
Artery Disease

Abstract Background Cerebral vascular disease and coronary artery disease (CAD) share risk factors. Our aim was to study CHA2DS2VASC score as predictor of stroke incidence in a sample of patients with sinus ryhtm and stable CAD (sCAD) during long term follow-up. Methods The CICCOR registry (“Chronic ischaemic heart disease in Cordoba”) is a prospective monocentric cohort study. Between February 2000 and January 2004 all patients with sCAD who attended two outpatient cardiology clinics in a city of the South of Spain were recruited. We analyzed the relationship between baseline CHA2DS2VASC score and the incidence of stroke in a sample of patients with sCAD without atrial fibrillation during long term follow-up. Patients without sinus rythm were excluded. Results 1268 patients with sCAD were recruited (median age 68±10 years, 73% male). 69 patients showed atrial fibrillation and were excluded. The median follow-up was 11.2 years (maximum follow-up of 17 years). During this period, only 2 patients were lost, and 136 patients (11.5% of the sample) suffered stroke. Baseline mean CHA2DS2 VASC score was 3.21. Most patients showed CHA2DS2 VASC score lower than 4 (81.4% of the sample). Higher CHA2DS2 VASC score at baseline was associated with higher risk of suffering stroke during follow-up (Hazard Ratio = 1.31 (1.16–1.48); p<0.001). Mean results are shown in the table. Table 1 No stroke (n=1063) Stroke (n=136) Hazard ratio (CI 95%) p Sex male (%) 777 (88.8) 98 (11.2) High blood pressure (%) 561 (86.6) 86 (13.3) Diabetes mellitus (%) 317 (86.4) 50 (13.6) 75 years and older (%) 205 (83.7) 40 (16.3) Mean CHADS VASC score 3.17 3.55 1.31 (1.16–1.48) <0.001 CHADS VASC score higher than 4 (%) 185 (84.1) 35 (15.9) 2.00 (1.33–3.01) 0.001 Stroke incidence according to CHADSVASC Conclusion Higher CHA2DS2 VASC score was significantly associated with higher stroke incidence during long term follow-up in this real-world sample of patients with sCAD in sinus rythm.

scholarly journals The Effect of Apolipoprotein E Gene Polymorphism and Lp (a) Levels on Coronary Artery Disease with Atrial Fibrillation

2021 ◽  
Author(s):  
Yong Li ◽  
Lei Chen ◽  
Min Zhang ◽  
Wensu Chen
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Apolipoprotein E ◽  
Blood Lipid ◽  
E Gene ◽  
Apolipoprotein E Gene ◽  
Independent Risk Factors ◽  
Artery Disease

Abstract Background This study is the first to explore the influence of the apolipoprotein E gene (APOE) and blood lipid metabolism on coronary artery disease (CAD) with atrial fibrillation.Methods In this study, there were a total of 2048 participants, including 400 patients in the control group (CAD- AF-), 126 AF patients without CAD (CAD- AF+), 1294 CAD patients without AF (CAD+ AF-) and 228 CAD patients with AF (CAD+ AF+). Blood lipid levels and APOE genotypes were determined by collecting blood samples from the patients.Results Compared with CAD patients without AF, the age and Lp (a) levels of CAD patients with AF were significantly higher. Among CAD patients, the frequencies of E3/E3 and ε3 genotypes in patients with AF were significantly lower than those in patients without AF, and the frequencies of E4/E4 and ε4 genotypes were significantly increased. Spearman correlation analysis showed that in CAD patients, Lp(a) levels in the ε4 group were significantly higher than those in the group of patients without ε4, and there was a significant correlation between ε4 and Lp (a) levels (p<0.001, r=0.106). Multivariate logistic regression analysis found that the increase in Lp (a) levels (p=0.023) and age (p=0.01) were independent risk factors for CAD patients who develop AF.Conclusion Patients with AF had increased age, ε4 frequencies and Lp (a) levels among CAD patients, age and Lp (a) levels may be independent risk factors for CAD patients to develop AF.

Long-Term Follow-Up of Patients With Isolated Side Branch Coronary Artery Disease

Angiology ◽  
2021 ◽  
pp. 000331972110280
Author(s):  
Sukru Arslan ◽  
Ahmet Yildiz ◽  
Okay Abaci ◽  
Urfan Jafarov ◽  
Servet Batit ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Vessel Diameter ◽  
Side Branch ◽  
Clinical Risk Factors ◽  
Clinical Risk ◽  
Artery Disease

The data with respect to stable coronary artery disease (SCAD) are mainly confined to main vessel disease. However, there is a lack of information and long-term outcomes regarding isolated side branch disease. This study aimed to evaluate long-term major adverse cardiac and cerebrovascular events (MACCEs) in patients with isolated side branch coronary artery disease (CAD). A total of 437 patients with isolated side branch SCAD were included. After a median follow-up of 38 months, the overall MACCE and all-cause mortality rates were 14.6% and 5.9%, respectively. Among angiographic features, 68.2% of patients had diagonal artery and 82.2% had ostial lesions. In 28.8% of patients, the vessel diameter was ≥2.75 mm. According to the American College of Cardiology lesion classification, 84.2% of patients had either class B or C lesions. Age, ostial lesions, glycated hemoglobin A1c, and neutrophil levels were independent predictors of MACCE. On the other hand, side branch location, vessel diameter, and lesion complexity did not affect outcomes. Clinical risk factors seem to have a greater impact on MACCE rather than lesion morphology. Therefore, the treatment of clinical risk factors is of paramount importance in these patients.

scholarly journals Prevalence, Epidemiological Characteristics, and Pharmacotherapy of Coronary Artery Disease among Patients with Atrial Fibrillation: Data from Jo-Fib Study

Medicina ◽  
2021 ◽  
Vol 57 (6) ◽  
pp. 605
Author(s):  
Hanna K. Al-Makhamreh ◽  
Mohammed Q. Al-Sabbagh ◽  
Ala’ E. Shaban ◽  
Abdelrahman F. Obiedat ◽  
Ayman J. Hammoudeh
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Antiplatelet Agents ◽  
Retrospective Case ◽  
Increased Risk ◽  
Artery Disease ◽  
Epidemiological Characteristics ◽  
Cad Risk

Background and Objectives: Patients with AF are at increased risk for Coronary Artery Disease (CAD) owing to their shared etiologies and risk factors. This study aimed to assess the prevalence, cardiovascular risk factors, and used medications of CAD in AF patients. Materials and Methods: This retrospective, case-control study utilized data from the Jordanian Atrial Fibrillation (Jo-Fib) registry. Investigators collected clinical features, history of co-existing comorbidities, CHA2DS2-VASc, and HAS BLED scores for all AF patients aged >18 visiting 19 hospitals and 30 outpatient cardiology clinics. A multivariable binary logistic regression was used to asses for factors associated with higher odds of having CAD. Results: Out of 2000 patients with AF, 227 (11.35%) had CAD. Compared to the rest of the sample, those with CAD had significantly higher prevalence of hypertension (82.38%; p < 0.01), hypercholesterolemia (66.52%, p < 0.01), diabetes (56.83%, p < 0.01), and smoking (18.06%, p = 0.04). Patients with AF and CAD had higher use of anticoagulants/antiplatelet agents combination (p < 0.01) compared to the rest of the sample. Females had lower CAD risk than males (OR = 0.35, 95% CI: 0.24–0.50). AF Patients with dyslipidemia (OR = 2.5, 95% CI: 1.8–3.4), smoking (OR = 1.7, 95% CI: 1.1–2.6), higher CHA2DS2-VASc score (OR = 1.5, 95% CI: 1.4–1.7), and asymptomatic AF (OR = 1.9, 95% CI: 1.3–2.6) had higher risk for CAD. Conclusions: Owing to the increased prevalence of CAD in patients with AF, better control of cardiac risk factors is recommended for this special group. Future studies should investigate such interesting relationships to stratify CAD risk in AF patients. We believe that this study adds valuable information regarding the prevalence, epidemiological characteristics, and pharmacotherapy of CAD in patients with AF.

Prognostic Impact of Red Cell Distribution Width on the Development of Contrast Induced Nephropathy, Major Adverse Cardiac Events, and Mortality in Coronary Artery Disease Patients Undergoing Percutaneous Coronary Intervention.

2021 ◽  
Vol 17 ◽  
Author(s):  
Azka Latif ◽  
Muhammad Junaid Ahsan ◽  
Noman Lateef ◽  
Vikas Kapoor ◽  
Hafiz Muhammad Fazeel ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Coronary Intervention ◽  
Cardiac Events ◽  
Distribution Width ◽  
Adverse Cardiac Events ◽  
Percutaneous Coronary ◽  
All Cause Mortality ◽  
Artery Disease

: Red cell distribution width (RDW) serves as an independent predictor towards the prognosis of coronary artery disease (CAD) in patients undergoing percutaneous coronary intervention (PCI). A systematic search of databases such as PubMed, Embase, Web of Science, and Cochrane library was performed on October 10th, 2019 to elaborate the relationship between RDW and in hospital and long term follow up all-cause and cardiovascular mortality, major adverse cardiac events (MACE) and development of contrast-induced nephropathy (CIN) in patients with CAD undergoing PCI. Twenty-one studies qualified this strict selection criteria (number of patients = 56,425): one study was prospective, and the rest were retrospective cohorts. Our analysis showed that patients undergoing PCI with high RDW had a significantly higher risk of in-hospital all-cause mortality (OR 2.41), long-term all-cause mortality (OR 2.44), cardiac mortality (OR 2.65), MACE (OR: 2.16) and odds of developing CIN (OR: 1.42) when compared to the patients with low RDW. Therefore, incorporating RDW in the predictive models for the development of CIN, MACE, and mortality can help in triage to improve the outcomes in coronary artery disease patients who undergo PCI.

scholarly journals Predictive potential assessment of preoperative risk factors for atrial fibrillation in patients with coronary artery disease after coronary artery bypass grafting

2020 ◽  
Vol 35 (4) ◽  
pp. 128-136
Author(s):  
K. I. Shakhgeldyan ◽  
V. Y. Rublev ◽  
B. I. Geltser ◽  
B. O. Shcheglov ◽  
V. G. Shirobokov ◽  
...  
Keyword(s):  
Risk Factors ◽  
Atrial Fibrillation ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Coronary Artery Bypass Grafting ◽  
Artery Bypass ◽  
Bypass Grafting ◽  
Preoperative Risk ◽  
Preoperative Risk Factors ◽  
Artery Disease

Introduction. Postoperative atrial fibrillation (POAF) is one of the most common complications of coronary artery bypass grafting (CABG) and occurs in 25–65% of patients.Aim. The study aimed to assess the predictive potential of preoperative risk factors for POAF in patients with coronary artery disease (CAD) after CABG based on machine learning (ML) methods.Material and Methods. An observational retrospective study was carried out based on data from 866 electronic case histories of CAD patients with a median age of 63 years and a 95% confidence interval [63; 64], who underwent isolated CABG on cardiopulmonary bypass. Patients were assigned to two groups: group 1 comprised 147 (18%) patients with newly registered atrial fibrillation (AF) paroxysms; group 2 included 648 (81.3%) patients without cardiac arrhythmia. The preoperative clinical and functional status was assessed using 100 factors. We used statistical analysis methods (Chi-square, Fisher, Mann – Whitney, and univariate logistic regression (LR) tests) and ML tests (multivariate LR and stochastic gradient boosting (SGB)) for data processing and analysis. The models’ accuracy was assessed by three quality metrics: area under the ROC-curve (AUC), sensitivity, and specificity. The cross-validation procedure was performed at least 1000 times on randomly selected data.Results. The processing and analysis of preoperative patient status indicators using ML methods allowed to identify 10 predictors that were linearly and nonlinearly related to the development of POAF. The most significant predictors were the anteroposterior dimension of the left atrium, tricuspid valve insufficiency, ejection fraction <40%, duration of the P–R interval, and chronic heart failure of functional class III–IV. The accuracy of the best predictive multifactorial model of LR was 0.61 in AUC, 0.49 in specificity, and 0.72 in sensitivity. The values of similar quality metrics for the best model based on SGB were 0.64, 0.6, and 0.68, respectively.Conclusion. The use of SGB made it possible to verify the nonlinearly related predictors of POAF. The prospects for further research on this problem require the use of modern medical care methods that allow taking into account the individual characteristics of patients when developing predictive models.

Long-term prognosis after percutaneous or surgical revascularization in patients with diabetes mellitus and complex coronary artery disease- a systematic review and meta analysis

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
A Abdul Razzack ◽  
S Mandava ◽  
S Pothuru ◽  
S Adeel Hassan ◽  
D Missael Rocha Castellanos ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Artery Bypass ◽  
Left Main ◽  
All Cause Mortality ◽  
Patients With Diabetes ◽  
Artery Disease

Abstract Funding Acknowledgements Type of funding sources: None. Background-Whether Coronary artery bypass grafting (CABG) confers a survival benefit in patients with diabetes mellitus(DM) and complex coronary artery disease (CAD), including left main CAD and multivessel coronary disease (MVD) after a follow up period ≥ 5 years remains unknown. Methods- Electronic databases (PubMed, Embase, Scopus, Cochrane) were searched from inception to December 12th 2020. Using a generic invariance weighted random effects model, Hazard ratios (HRs) and their 95% confidence intervals (CIs) from individual studies were converted to Log HRs and corresponding standard errors, which were then pooled. The primary outcome of interest was all-cause mortality and major adverse cardiac and cerebrovascular events (MACCE) which was defined as a composite of death, myocardial reinfarction and stroke at ≥ 5 years. Results-A total of 8 studies with 13336 participants(PCI = 6783, CABG = 6553)were included in our analysis. Mean age was 54.6 and 55.3 in the PCI-DES and CABG groups respectively. The 5-yr follow-up outcomes including all-cause mortality (HR 1.37; 95%CI 1.15-1.65; p = 0.0006, I2 = 0)and MACCE (HR 1.48; 95%CI 1.29-1.69; p &lt; 0.00001, I2 = 0) were significantly higher with PCI as compared to CABG. Furthermore, at &gt;5 year follow-up, all-cause mortality (HR 1.35; 95%CI 1.10-1.66; p = 0.004, I2 = 37) and MACCE (HR 1.98; 95%CI 1.85-2.12; p &lt; 0.00001, I2 = 0) had similar outcomes. Conclusion-Amongst patients with DM and Complex CAD ( left main/MVD), CABG was associated with improved long-term mortality and freedom from MACCEs as opposed to PCI-DES. CABG is the preferred revascularization strategy in patients with complex anatomic disease and concurrent diabetes. Abstract Figure.

scholarly journals Clinical risk factors and atherosclerotic plaque extent to define risk for major events in patients without obstructive coronary artery disease: the long-term coronary computed tomography angiography CONFIRM registry

2020 ◽  
Vol 21 (5) ◽  
pp. 479-488 ◽  
Author(s):  
Alexander R van Rosendael ◽  
A Maxim Bax ◽  
Jeff M Smit ◽  
Inge J van den Hoogen ◽  
Xiaoyue Ma ◽  
...  
Keyword(s):  
Risk Factors ◽  
Computed Tomography ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Computed Tomography Angiography ◽  
Prognostic Value ◽  
Coronary Computed Tomography Angiography ◽  
Obstructive Coronary Artery Disease ◽  
Artery Disease

Abstract Aims In patients without obstructive coronary artery disease (CAD), we examined the prognostic value of risk factors and atherosclerotic extent. Methods and results Patients from the long-term CONFIRM registry without prior CAD and without obstructive (≥50%) stenosis were included. Within the groups of normal coronary computed tomography angiography (CCTA) (N = 1849) and non-obstructive CAD (N = 1698), the prognostic value of traditional clinical risk factors and atherosclerotic extent (segment involvement score, SIS) was assessed with Cox models. Major adverse cardiac events (MACE) were defined as all-cause mortality, non-fatal myocardial infarction, or late revascularization. In total, 3547 patients were included (age 57.9 ± 12.1 years, 57.8% male), experiencing 460 MACE during 5.4 years of follow-up. Age, body mass index, hypertension, and diabetes were the clinical variables associated with increased MACE risk, but the magnitude of risk was higher for CCTA defined atherosclerotic extent; adjusted hazard ratio (HR) for SIS &gt;5 was 3.4 (95% confidence interval [CI] 2.3–4.9) while HR for diabetes and hypertension were 1.7 (95% CI 1.3–2.2) and 1.4 (95% CI 1.1–1.7), respectively. Exclusion of revascularization as endpoint did not modify the results. In normal CCTA, presence of ≥1 traditional risk factors did not worsen prognosis (log-rank P = 0.248), while it did in non-obstructive CAD (log-rank P = 0.025). Adjusted for SIS, hypertension and diabetes predicted MACE risk in non-obstructive CAD, while diabetes did not increase risk in absence of CAD (P-interaction = 0.004). Conclusion Among patients without obstructive CAD, the extent of CAD provides more prognostic information for MACE than traditional cardiovascular risk factors. An interaction was observed between risk factors and CAD burden, suggesting synergistic effects of both.

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