scholarly journals Predictors of Elevated Cardiac Enzyme Levels in Hospitalized Patients with Atrial Fibrillation and No Known Coronary Artery Disease

2016 ◽  
Vol 43 (1) ◽  
pp. 38-42 ◽  
Author(s):  
Karyne L. Vinales ◽  
Mohammad Q. Najib ◽  
Punnaiah C. Marella ◽  
Minako Katayama ◽  
Hari P. Chaliki

We retrospectively studied the predictive capabilities of elevated cardiac enzyme levels in terms of the prognosis of patients who were hospitalized with atrial fibrillation and who had no known coronary artery disease. Among 321 patients with atrial fibrillation, 60 without known coronary artery disease had their cardiac enzyme concentrations measured during hospitalization and underwent stress testing or cardiac catheterization within 12 months before or after hospitalization. We then compared the clinical and electrocardiographic characteristics of the 20 patients who had elevated cardiac enzyme levels and the 40 patients who had normal levels. Age, sex, and comorbidities did not differ between the groups. In the patients with elevated cardiac enzyme levels, the mean concentrations of troponin T and creatine kinase-MB isoenzymes were 0.08 ± 0.08 ng/mL and 6.49 ± 4.94 ng/mL, respectively. In univariate analyses, only peak heart rate during atrial tachyarrhythmia was predictive of elevated enzyme levels (P <0.0001). Mean heart rate was higher in the elevated-level patients (146 ± 22 vs 117 ± 29 beats/min; P=0.0007). Upon multivariate analysis, heart rate was the only independent predictor of elevated levels. Coronary artery disease was found in only 2 patients who had elevated levels and in one patient who had normal levels (P=0.26). Increased myocardial demand is probably why the presenting heart rate was predictive of elevated cardiac enzyme levels. Most patients with elevated enzyme levels did not have coronary artery disease, and none died of cardiac causes during the 6-month follow-up period. To validate our findings, larger studies are warranted.

2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
W Mistiaen ◽  
I Deblier ◽  
K Dossche ◽  
A Vanermen

Abstract Introduction Patients undergoing surgical aortic valve replacement (SAVR) with a biological prosthesis usually receive this type of valve because higher age and comorbid conditions. This is the type of patient for whom transcatheter valve implantation (TAVI) has been developed and applied as a mean for less invasive treatment. However, this is also the age group at risk for dementia, a condition which severely reduces the quality of life. Purpose The predictors for the development of dementia during long-term follow-up after SAVR need identification. Methods From January 2008 to June 2017, 1305 patients underwent SAVR with a biological valve. Of these patients, 1221 left the hospital alive (93.6%). In a retrospective file study, the effect of age, gender, preoperative comorbid condition (chronic renal or pulmonary disease, diabetes, treated or treatable cancer, hypertension, stroke) and cardiac status (left ventricular function, coronary artery disease, myocardial infarction, prior CABG or PCI, severity of symptoms, atrial fibrillation, ventricular arrhythmias, conduction defects with or without a need for permanent pacemaker), operative data (bypass time>120 minutes, concomitant CABG, mitral valve repair, maze procedure, procedure on the ascending aorta) and in-hospital postoperative complications (endocarditis, thromboembolism, bleeding, atrial fibrillation, heart failure, pulmonary and renal complications) on the development of dementia was studied. Factors with an effect in a univariate Kaplan-Meier survival analysis were entered in a Cox' proportional hazard analysis. Results There was a follow-up of 7726 patient-years (mean 5.9y). Five-year survival was 78.8±1.3%. At 10 year, this was 50.7±2.1%. Dementia during long-term follow-up was diagnosed in 162/1080 patients (15%). Predictors for the development of dementia are grouped as 1) preoperative, 2) operative and 3) postoperative, and ranked according the p-value. 1) Preoperative predictors – Age >75 years: Odds ratio: 2.89, with 95% Confidence interval between 2.02–4.14 and p<0.001 – Need for emergent surgery: OR=2.84 (1.56–5.19), p=0.001 – Coronary artery disease: OR=1.57 (1.12–2.21), p=0.009 – Diabetes mellitus: OR=1.56 (1.08–2.24), p=0.017 – Atrial fibrillation: OR=1.51 (1.07–2.15), p=0.020 2) Operative predictors – Bypass time >120 minutes: OR=1.40 (1.01–1.94), p=0.043 3) Postoperative predictors – Delirium: OR=3.35 (2.26–4.97), p<0.001 – Acute renal injury: OR=1.98 (1.39–2.81),p<0.001 – Thromboembolism: OR=2.10 (1.02–4.30), p=0.043 Conclusions Development of dementia during long-term follow-up after SAVR in elderly is not uncommon. High age and need for emergent surgery are the dominant preoperative predictors. Long cardiopulmonary bypass, which is usually a marker for more complex procedures is the only operative predictor. Postoperative delirium during hospital stay is a warning sign. The only modifiable factor is need for emergent surgery. FUNDunding Acknowledgement Type of funding sources: None.


VASA ◽  
2016 ◽  
Vol 45 (3) ◽  
pp. 247-252 ◽  
Author(s):  
Fabian Johner ◽  
Robert Clemens ◽  
Marc Husmann ◽  
Christoph Thalhammer ◽  
Burkhardt Seifert ◽  
...  

Abstract. Background: We evaluated the long-term outcome after endovascular revascularisation for acute limb ischaemia (ALI). Patients and methods: From a prospectively maintained database, 318 endovascular interventions for ALI were identified between 2004 and 2010. Event history and survival were analysed using the Kaplan-Meier method and Cox regression. Endpoints were target vessel revascularisation (TVR), non-target extremity revascularisation (NTER), amputation, major vascular events, coronary artery revascularisation and amputation-free survival. Results: Follow-up data of 303 patients (mean age 68.5 ± 12.7 years, 40 % female) were available. The mean follow-up time was 38.7 ± 26.2 months. TVR was performed in 40.1 ± 2.9 % at 1 year and 66.5 ± 3.8 % at 5 years. NTER at 1 and 5 years were 7.1 ± 1.5 % and 29.2 ± 4 %, respectively. The proportion of patients who needed major or minor amputation was 4.3 ± 1.2 % after 1 year and 9 ± 2.1 % after 5 years. Amputation-free survival at 1 year was 90.3 ± 1.8 % and 74.8 ± 3.2 % at 5 years. Coronary artery disease (HR 2.22, 95 % CI 1.33 to 3.7, p = 0.002) and atrial fibrillation (HR 2.56, % CI 1.3 to 5.04, p = 0.007) were independently associated with a worse amputation-free survival. The cumulative proportion surviving one year following acute limb ischemia was 95.4 ± 1.2 % and 79.7 ± 3.1 % after 5 years. Conclusions: Long-term amputation-free survival after successful revascularisation for ALI is high; negative predictors are coronary artery disease and atrial fibrillation.


2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
Y Hamatani ◽  
M Iguchi ◽  
K Minami ◽  
K Ishigami ◽  
S Ikeda ◽  
...  

Abstract Background Atrial fibrillation (AF) increases the risk of hospitalization for heart failure (HF), as well as that of thromboembolism. The strategy for prediction of thromboembolism has been well-established; however, little focus has been placed on the risk stratification for and prevention of HF hospitalization in AF patients. Purpose The aim of this study is to investigate the predictors and risk model of HF hospitalization in non-valvular AF patients without pre-existing HF. Methods The Fushimi AF Registry is a community-based prospective survey of AF patients in Fushimi-ku, Kyoto, Japan. The inclusion criterion of the registry is the documentation of AF at 12-lead electrocardiogram or Holter monitoring at any time, and there are no exclusion criteria. We started to enroll patients from March 2011, and follow-up data were available for 4,472 patients by the end of October 2020. From the registry, we excluded patients without a pre-existing HF (defined as having one of the following; prior hospitalization for HF, New York Heart Association class ≥2, or left ventricular ejection fraction [LVEF] <40%), and those with valvular AF (mitral stenosis or prosthetic heart valve). Among 3,188 non-valvular AF patients without pre-existing HF, we explored the risk factors for the HF hospitalization during follow-up period. The risk model for predicting HF hospitalization was determined by the cumulative numbers of risk factors which were significant on multivariate analysis. Results The mean age was 72.4±10.8 years, 1197 were female and 1787 were paroxysmal AF. The mean CHADS2 and CHA2DS2-VASc scores were 1.7±1.2 and 2.9±1.6, respectively. During the median follow-up period of 5.1 years, HF hospitalization occurred in 285 (8.9%), corresponding to an annual incidence of 1.8 events per 100 person-years. In multivariable Cox regression analysis, advanced age (≥75 years), valvular heart disease, coronary artery disease, reduced LVEF (<60%), chronic obstructive pulmonary disease (COPD) and anemia were independently associated with the higher incidence of HF hospitalization (all P<0.001) (Picture 1). A risk model based on these 6 variables could stratify the incidence of HF hospitalization during follow-up period (log-rank; P<0.001) (Picture 2). Patients with ≥3 risk factors had an 11-fold higher incidence of HF hospitalization compared with those not having any of these risk factors (hazard ratio: 11.3, 95% confidence interval: 7.0–18.4; P<0.001). Conclusions Advanced age, coronary artery disease, valvular heart disease, reduced LVEF, COPD and anemia were independently associated with the risk of HF hospitalization in AF patients without pre-existing HF. There was good prediction for endpoint of HF hospitalization using these 6 variables, providing the opportunities for the implementation of strategies to reduce the incidence of HF among AF patients. FUNDunding Acknowledgement Type of funding sources: None.


2021 ◽  
Vol 42 (Supplement_1) ◽  
Author(s):  
B Bay ◽  
C M Blaum ◽  
F Kroeger ◽  
A Gossling ◽  
L Koppe ◽  
...  

Abstract Background High-sensitivity Troponin T and I (hsTnT/I) concentration is independently associated with coronary artery disease (CAD) severity and cardiovascular outcome. Here we explored whether hsTnT/I blood levels add predictive information irrespective of CAD severity and further confounders in unselected stable patients with angiographically characterized CAD. Methods Between 2015 and 2020, 3,012 patients undergoing coronary angiography were included in the observational Hamburg INTERCATH study. In 2,209 consecutive patients Troponin levels were quantified for hsTnT (Roche Diagnostics Elecsys) and hsTnI (Abbott Diagnostics ARCHITECT STAT). Patients presenting with acute coronary syndromes and heart transplant recipients were excluded, leaving 1,841 patients for analyses. CAD severity was graded according to the Gensini score. Major adverse cardiac events (MACE) as a composite of cardiovascular death, stroke, myocardial infarction, and coronary revascularization were defined as endpoint. Kaplan-Meier analyses stratified by hsTnT/I quartiles were performed. Multivariable Cox models were computed for the association of hsTnT/I with MACE adjusting for age, gender, arterial hypertension, hyperlipoproteinemia, smoking, diabetes mellitus, body-mass index, eGFR and Gensini Score. Results Mean age was 68.5±10.9 years (27.9% female). 81.1% were diagnosed with CAD by coronary angiography. Gensini score was 21.0±30.2. Median follow-up time was 4.42 years. hsTnT quartiles differentiated MACE across all categories (Figure 1A). For hsTnI, cardiovascular risk was differentiated between the lowest and highest quartiles as well as the 1st and 2nd quartile particularly beyond 24 months of follow-up (Figure 1B). However, MACE after 3 years was not associated with hsTnT after adjustment for classical cardiovascular risk factors and CAD severity (Figure 1C), whereas the hazard of MACE was increased in the 3rd and 4th hsTnI quartiles compared to the 1st quartile (HR 1.3, IQR 1.1–1.6 for both categories; Figure 1D). Conclusion Increasing hsTn concentration was related to intermediate term cardiovascular outcome in unselected stable patients. Only hsTnI concentration remained as independent predictor after testing for most possible confounders, including CAD severity. This data underpins the role of hsTnI in outcome prediction. FUNDunding Acknowledgement Type of funding sources: None.


2018 ◽  
Vol 47 (04) ◽  
pp. 778-790 ◽  
Author(s):  
Gard Svingen ◽  
Eva Pedersen ◽  
Reinhard Seifert ◽  
Jan Kvaløy ◽  
Øivind Midttun ◽  
...  

AbstractSystemic fibrinogen and neopterin are related to inflammation. We investigated the prognostic utility and possible interactions of these biomarkers in stable coronary artery disease (SCAD) patients undergoing coronary angiography. We included 3,545 patients with suspected stable angina with a median follow-up of 7.3 and 10.2 years for incident acute myocardial infarction (AMI) and all-cause mortality, respectively. Prospective associations were explored by Cox regression. Potential effect modifications were investigated according to strata of fibrinogen, neopterin or high-sensitivity troponin T (hsTnT) below and above the median, as well as gender and smoking habits. During follow-up, 543 patients experienced an AMI and 769 patients died. In a multivariable model, the hazard ratios (HRs; 95% confidence interval [CI]) per 1 SD increase for fibrinogen in relation to these endpoints were 1.30 (1.20, 1.42; p < 0.001) and 1.22 (1.13, 1.31; p < 0.001), respectively. For neopterin, the HRs (95% CI) were 1.31 (1.23, 1.40; p < 0.001) and 1.24 (1.15, 1.34; p < 0.001), respectively. No significant interaction between fibrinogen and neopterin was observed. The prognostic utility of neopterin for incident AMI was improved in patients with an hsTnT above the median, for total mortality in non-smokers, and for both total mortality and AMI in females. In conclusion, both fibrinogen and neopterin were associated with future AMI and total mortality, but had low discriminatory impact. No interaction was observed between these two biomarkers. The prognostic utility of neopterin was improved in patients with hsTnT levels above the median, and in females and non-smokers.


2021 ◽  
Vol 8 ◽  
Author(s):  
Yangxun Wu ◽  
Guanyun Wang ◽  
Lisha Dong ◽  
Liu'an Qin ◽  
Jian Li ◽  
...  

Purpose: Coronary artery disease (CAD) and atrial fibrillation (AF) often coexist and lead to a much higher risk of mortality in the elderly population. The aim of this study was to investigate whether the CHA2DS2-VASc score could predict the risk of death in elderly patients with CAD and AF.Methods: Hospitalized patients aged ≥65 years with a diagnosis of CAD and AF were recruited consecutively. Patients were divided into 5 groups according to the CHA2DS2-VASc score (≤2, =3, =4, =5, and ≥6). At least a 1-year follow-up was carried out for the assessment of all-cause death.Results: A total of 1,579 eligible patients were recruited, with 582 all-cause deaths (6.86 per 100 patient-years) occurring during a follow-up of at least 1 year. With the increase in the CHA2DS2-VASc score, the 1-year and 5-year survival rate decreased (96.4% vs. 95.7% vs. 94.0% vs. 86.5% vs. 85.7%, respectively, P &lt; 0.001; 78.4% vs. 68.9% vs. 64.6% vs. 55.5% vs. 50.0%, respectively, P &lt; 0.001). Compared with the patients with CHA2DS2-VASc score &lt;5, for patients with CHA2DS2-VASc score ≥5, the adjusted hazard ratio for death was 1.78 (95% CI: 1.45–2.18, P &lt; 0.001). The predictive values of the CHA2DS2-VASc score ≥5 for in-hospital (C-index = 0.66, 95% CI: 0.62–0.69, P &lt; 0.001), 1-year (C-index = 0.65, 95% CI: 0.63–0.67, P &lt; 0.001) and 5-year (C-index = 0.60, 95% CI: 0.59–0.61, P &lt; 0.001) death were in comparable.Conclusion: In elderly patients with concomitant CAD and AF, the CHA2DS2-VASc score can be used to predict death with moderate accuracy.


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