scholarly journals Risk Factors for Infection Following Total Joint Arthroplasty in Rheumatoid Arthritis

2013 ◽  
Vol 7 (1) ◽  
pp. 119-124 ◽  
Author(s):  
Ranjani Somayaji ◽  
Cheryl Barnabe ◽  
Liam Martin
Keyword(s):  
Rheumatoid Arthritis ◽  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Hospital Admission ◽  
Total Joint Arthroplasty ◽  
Surgical Site Infections ◽  
Joint Arthroplasty ◽  
Increased Risk ◽  
Artery Disease

Objectives: Determine risk factors for infection following hip or knee total joint arthroplasty in patients with rheumatoid arthritis. Methods: All rheumatoid arthritis patients with a hip or knee arthroplasty between years 2000 and 2010 were identified from population-based administrative data from the Calgary Zone of Alberta Health Services. Clinical data from patient charts during the hospital admission and during a one year follow-up period were extracted to identify incident infections. Results: We identified 381 eligible procedures performed in 259 patients (72.2% female, mean age 63.3 years, mean body mass index 27.6 kg/m2). Patient comorbidities were hypertension (43.2%), diabetes (10.4%), coronary artery disease (13.9%), smoking (10.8%) and obesity (32%). Few infectious complications occurred: surgical site infections occurred within the first year after 5 procedures (2 joint space infections, 3 deep incisional infections). Infections of non-surgical sites (urinary tract, skin or respiratory, n=4) complicated the hospital admission. The odds ratio for any post-arthroplasty infection was increased in patients using prednisone doses exceeding 15 mg/day (OR 21.0, 95%CI 3.5-127.2, p=<0.001), underweight patients (OR 6.0, 95%CI 1.2-30.9, p=0.033) and those with known coronary artery disease (OR 5.1, 95%CI 1.3-19.8, p=0.017). Types of disease-modifying therapy, age, sex, and other comorbidities were not associated with an increased risk for infection. Conclusion: Steroid doses over 15 mg/day, being underweight and having coronary artery disease were associated with significant increases in the risk of post-arthroplasty infection in rheumatoid arthritis. Maximal tapering of prednisone and comorbidity risk reduction must be addressed in the peri-operative management strategy.

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.

scholarly journals Platelet Activation and Plasma Levels of Furin Are Associated With Prognosis of Patients With Coronary Artery Disease and COVID-19

2021 ◽  
Author(s):  
Carolin Langnau ◽  
Anne-Katrin Rohlfing ◽  
Sarah Gekeler ◽  
Manina Günter ◽  
Simone Pöschel ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Respiratory Failure ◽  
Coronary Artery ◽  
Hospital Admission ◽  
Platelet Activation ◽  
Plasma Levels ◽  
Clinical Prognosis ◽  
Il Interleukin ◽  
Increased Risk ◽  
Artery Disease

Objective: Patients with coronary artery disease (CAD) are at increased risk for cardiac death and respiratory failure following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Platelets are crucially involved in pathogenesis of CAD and might also contribute to pathophysiology of SARS-CoV-2 infection. Approach and Results: We enrolled a cohort of 122 participants from February 2020 to July 2020 including 55 patients with preexisting CAD and acute SARS-CoV-2 infection (CAD-SARS-CoV-2 positive ), 28 patients with CAD and without SARS-CoV-2 (CAD-SARS-CoV-2 negative ), and 39 healthy controls. Clinical and cardiac examination of the CAD-SARS-CoV-2 positive group included blood sampling, echocardiography, and electrocardiography within 24 hours after hospital admission. Phenotyping of platelets was performed by flow cytometry; plasma levels of chemokines were analyzed by ELISA. Respiratory failure of patients was stratified by the Horovitz index as moderately/severely impaired when Horovitz index <200 mm Hg. The clinical end point was defined as Horovitz index <200 mm Hg with subsequent mechanical ventilation within a follow-up of 60 days. CAD-SARS-CoV-2 positive patients display a significant enhanced platelet activation and hyper-inflammation early at time of hospital admission. Circulating platelet/leukocyte co-aggregates correlate with plasma levels of cytokines/chemokines like IL (interleukin)-6, CCL2, and CXCL10 as well as activation of platelets is associated with CCL5 and elevation of pulmonary artery pressure. Furthermore, furin is stored and released from activated platelets. High furin plasma levels are associated with poor clinical prognosis in CAD-SARS-CoV-2 positive patients. Conclusions: Patients with CAD and SARS-CoV-2 infection exhibit elevated systemic platelet activation and enhanced plasma levels of the subtilisin-like proprotein convertase furin, which may contribute to an unfavorable clinical prognosis.

scholarly journals 9p21 and the Genetic Revolution for Coronary Artery Disease

2012 ◽  
Vol 58 (1) ◽  
pp. 104-112 ◽  
Author(s):  
Robert Roberts ◽  
Alexandre F R Stewart
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Risk Factor ◽  
Genetic Testing ◽  
Coronary Artery ◽  
Genetic Variants ◽  
Genetic Factors ◽  
Genomic Study ◽  
Increased Risk ◽  
Artery Disease

Abstract BACKGROUND It has long been recognized that 50% of the susceptibility for coronary artery disease (CAD) is due to predisposing genetic factors. Comprehensive prevention is likely to require knowledge of these genetic factors. CONTENT Using a genomewide association study (GWAS), the Ottawa Heart Genomic Study and the deCODE group simultaneously identified the first genetic risk variant, at chromosome 9p21. The 9p21 variant became the first risk factor to be identified since 1964. 9p21 occurs in 75% of the population except for African Americans and is associated with a 25% increased risk for CAD with 1 copy and a 50% increased risk with 2 copies. Perhaps the most remarkable finding is that 9p21 is independent of all known risk factors, indicating there are factors contributing to the pathogenesis of CAD that are yet unknown. 9p21 in individuals with premature CAD is associated with a 2-fold increase in risk, similar to that of smoking and cholesterol. Routine genetic testing will probably remain controversial until a specific treatment is developed. Over a period of 5 years, however, GWASs have identified 30 genetic variants for CAD risk, of which only 6 act through the known risk factors. SUMMARY The 9p21 variant has now been established as an independent risk factor for CAD and, along with the additional 29 risk genetic variants recently identified, is likely to provide the thrust for genetic testing and personalized medicine in the near future.

Genetic predisposition to coronary artery disease is predictive of recurrent events: a Chinese prospective cohort study

2020 ◽  
Vol 29 (6) ◽  
pp. 1044-1053 ◽  
Author(s):  
Jie Jiang ◽  
Qiwen Zheng ◽  
Yaling Han ◽  
Shubin Qiao ◽  
Jiyan Chen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Secondary Prevention ◽  
Prediction Model ◽  
Recurrent Events ◽  
Genetic Risk Score ◽  
Major Adverse Cardiovascular Events ◽  
Increased Risk ◽  
Artery Disease

Abstract Evidence of the effects of genetic risk score (GRS) on secondary prevention is scarce and mixed. We investigated whether coronary artery disease (CAD) susceptible loci can be used to predict the risk of major adverse cardiovascular events (MACEs) in a cohort with acute coronary syndromes (ACSs). A total of 1667 patients hospitalized with ACS were enrolled and prospectively followed for a median of 2 years. We constructed a weighted GRS comprising 79 CAD risk variants and investigated the association between GRS and MACE using a multivariable cox proportional hazard regression model. The incremental value of adding GRS into the prediction model was assessed by integrated discrimination improvement (IDI) and decision curve analysis (DCA). In the age- and sex-adjusted model, each increase in standard deviation in the GRS was associated with a 33% increased risk of MACE (hazard ratio: 1.33; 95% confidence interval: 1.10–1.61; P = 0.003), with this association not attenuating after further adjustment for traditional cardiovascular risk factors. The addition of GRS to a prediction model of seven clinical risk factors and EPICOR prognostic model slightly improved risk stratification for MACE as calculated by IDI (+1.7%, P = 0.006; +0.3%, P = 0.024, respectively). DCA demonstrated positive net benefits by adding GRS to other models. GRS was associated with MACE after multivariable adjustment in a cohort comprising Chinese ACS patients. Future studies are needed to validate our results and further evaluate the predictive value of GRS in secondary prevention.

Tranexamic Acid Is Safe in Patients with a History of Coronary Artery Disease Undergoing Total Joint Arthroplasty

2021 ◽  
Vol 103 (10) ◽  
pp. 900-904
Author(s):  
Stephen G. Zak ◽  
Alex Tang ◽  
Mohamad Sharan ◽  
Daniel Waren ◽  
Joshua C. Rozell ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Tranexamic Acid ◽  
Total Joint Arthroplasty ◽  
Joint Arthroplasty ◽  
History Of ◽  
Artery Disease

scholarly journals Asymmetrical Dimethylarginine Independently Predicts Total and Cardiovascular Mortality in Individuals with Angiographic Coronary Artery Disease (The Ludwigshafen Risk and Cardiovascular Health Study)

2007 ◽  
Vol 53 (2) ◽  
pp. 273-283 ◽  
Author(s):  
Andreas Meinitzer ◽  
Ursula Seelhorst ◽  
Britta Wellnitz ◽  
Gabriele Halwachs-Baumann ◽  
Bernhard O Boehm ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Cardiovascular Risk ◽  
Coronary Artery ◽  
Cardiovascular Risk Factors ◽  
Cardiovascular Mortality ◽  
Asymmetrical Dimethylarginine ◽  
Hazard Ratios ◽  
Increased Risk ◽  
Artery Disease

Abstract Background: Asymmetrical dimethylarginine (ADMA) is increased in conditions associated with increased risk of atherosclerosis. We investigated the use of ADMA to predict total and cardiovascular mortality in patients scheduled for coronary angiography. Methods: In 2543 persons with and 695 without coronary artery disease (CAD) identified by angiography we measured ADMA and recorded total and cardiovascular mortality during a median follow-up of 5.45 years. Results: ADMA was correlated positively to age, female sex, diabetes mellitus, former and current smoking, and C-reactive protein and inversely to HDL cholesterol and triglycerides. ADMA was not associated with body mass index, hypertension, LDL cholesterol, or the presence or absence of angiographic CAD. Glomerular filtration rate and homocysteine were the strongest predictors of ADMA. At the 2nd, 3rd and 4th quartile of ADMA, hazard ratios for all-cause mortality adjusted for age, sex, and cardiovascular risk factors were 1.12 [95% confidence interval (CI) 0.83–1.52], 1.35 (95% CI 1.01–1.81), and 1.87 (95% CI 1.43–2.44), respectively, compared with the 1st quartile. Hazard ratios for cardiovascular death were 1.13 (95% CI 0.78–1.63), 1.42 (95% CI 1.00–2.02), and 1.81 (95% CI 1.31–2.51). ADMA in the highest quartile remained predictive of mortality after accounting for medication at baseline. The predictive value of ADMA was similar to that in the entire cohort in persons with CAD, stable or unstable, but was not statistically significant in persons without angiographic CAD. Conclusions: ADMA concentration predicts all-cause and cardiovascular mortality in individuals with CAD independently of established and emerging cardiovascular risk factors.

P3348Diagnostic features and risk factors of coronary artery disease in rheumatoid arthritis

2017 ◽  
Vol 38 (suppl_1) ◽  
Author(s):  
O.A. Fomicheva ◽  
L.B. Krougly ◽  
Y.U. Karpov ◽  
D.N. Shulgin ◽  
V.B. Sergienko ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Artery Disease

scholarly journals Polymorphisms of rs2483205 and rs562556 in the PCSK9 gene are associated with coronary artery disease and cardiovascular risk factors

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Min-Tao Gai ◽  
Dilare Adi ◽  
Xiao-Cui Chen ◽  
Fen Liu ◽  
Xiang Xie ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Blood Glucose ◽  
Coronary Artery ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Nucleotide Polymorphisms ◽  
Pcsk9 Gene ◽  
Increased Risk ◽  
Artery Disease

AbstractPCSK9 plays a crucial role in lipid metabolism. This case–control study explored the associations of novel single nucleotide polymorphisms (SNPs) of the PCSK9 gene with coronary artery disease (CAD) (≥ 1 coronary artery stenosis ≥ 50%) and its risk factors in the Han population in Xinjiang, China. Four tag SNPs (rs11583680, rs2483205, rs2495477 and rs562556) of the PCSK9 gene were genotyped in 950 CAD patients and 1082 healthy controls. The distributions of genotypes in rs2483205 and rs562556 were significantly different between the groups (all p < 0.05). The TT genotype of rs2483205, GG genotype of rs562556, and their H4 (T-G) haplotype were associated with CAD [odds ratio (OR) 0.65, confidence interval (CI) 0.45–0.95, p = 0.024; 0.63, 0.45–0.90, p = 0.011; 0.50, 0.35–0.70, p < 0.001, respectively]. Additionally, the model (TT + CT vs. CC) of rs2483205 was associated with increased risk of obesity, and the G allele of rs562556 was associated with lower low-density lipoprotein cholesterol (LDL-C), blood glucose, body mass index (BMI), and mean platelet volume (MPV) (all p < 0.05). rs2483205, rs562556, and their H4 haplotype of the PCSK9 gene were associated with CAD. Additionally, rs2483205 is associated with obesity, and rs562556 is associated with LDL-C, blood glucose, BMI, and MPV.

scholarly journals Comprehensive Metabolomics Identified the Prominent Role of Glycerophospholipid Metabolism in Coronary Artery Disease Progression

2021 ◽  
Vol 8 ◽  
Author(s):  
Hui Chen ◽  
Zixian Wang ◽  
Min Qin ◽  
Bin Zhang ◽  
Lu Lin ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Coronary Artery ◽  
Adverse Outcomes ◽  
Combined Model ◽  
C Statistic ◽  
Lipid Species ◽  
Increased Risk ◽  
Traditional Risk Factors ◽  
Artery Disease

Background: Coronary stenosis severity determines ischemic symptoms and adverse outcomes. The metabolomic analysis of human fluids can provide an insight into the pathogenesis of complex disease. Thus, this study aims to investigate the metabolomic and lipidomic biomarkers of coronary artery disease (CAD) severity and to develop diagnostic models for distinguishing individuals at an increased risk of atherosclerotic burden and plaque instability.Methods: Widely targeted metabolomic and lipidomic analyses of plasma in 1,435 CAD patients from three independent centers were performed. These patients were classified as stable coronary artery disease (SCAD), unstable angina (UA), and myocardial infarction (MI). Associations between CAD stages and metabolic conditions were assessed by multivariable-adjusted logistic regression. Furthermore, the least absolute shrinkage and selection operator logistic-based classifiers were used to identify biomarkers and to develop prediagnostic models for discriminating the diverse CAD stages.Results: On the basis of weighted correlation network analysis, 10 co-clustering metabolite modules significantly (p &lt; 0.05) changed at different CAD stages and showed apparent correlation with CAD severity indicators. Moreover, cross-comparisons within CAD patients characterized that a total of 72 and 88 metabolites/lipid species significantly associated with UA (vs. SCAD) and MI (vs. UA), respectively. The disturbed pathways included glycerophospholipid metabolism, and cysteine and methionine metabolism. Furthermore, models incorporating metabolic and lipidomic profiles with traditional risk factors were constructed. The combined model that incorporated 11 metabolites/lipid species and four traditional risk factors represented better discrimination of UA and MI (C-statistic = 0.823, 95% CI, 0.783–0.863) compared with the model involving risk factors alone (C-statistic = 0.758, 95% CI, 0.712–0.810). The combined model was successfully used in discriminating UA and MI patients (p &lt; 0.001) in a three-center validation cohort.Conclusion: Differences in metabolic profiles of diverse CAD subtypes provided a new approach for the risk stratification of unstable plaque and the pathogenesis decipherment of CAD progression.

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