scholarly journals Cardiovascular risk factors as predictors of heart failure during hospitalization for Acute Coronary Syndromes

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
H Santos ◽  
M Santos ◽  
I Almeida ◽  
H Miranda ◽  
C Sa ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. OnBehalf Portuguese Registry of Acute Coronary Syndromes Background Cardiovascular risk factors (CVRF) are a growing health problem in developed countries. These patients have a higher prevalence of acute coronary syndromes (ACS) and as a consequence ACS complication, like heart failure (HF). HF after an ACS is a common complication and CVFR can influence its manifestation. Objective Evaluate the impact of the CVRF in HF during the hospitalization for ACS. Methods Multicenter retrospective study, based on the Portuguese Registry of ACS between 1/10/2010-4/09/2019. Patients were divided in two groups: A – without new onset of HF during the hospitalization for ACS and B – with new onset of HF during the hospitalization for ACS. CVFR was defined by body mass index, diabetes, arterial hypertension, smoking, neoplasia, dyslipidemia, coronary artery disease, chronic kidney disease and peripheral arterial disease. Logistic regression was performed to assess predictors of new onset HF in these patients. Results 14717 patients were included, 2287 in group B (15.5%). Both groups were similar regarding body mass index (27.5 ± 4.3 vs 27.2 ± 4.4, p = 0.254). Curiously the group A exhibited higher prevalence of smoking status (29.8 vs 16.6%, p < 0.001). On the other hand, group B presented more females (25.0 vs 35.7%, p < 0.001), arterial hypertension (68.7 vs 78.2%, p < 0.001), diabetes mellitus (28.5 vs 43.1%, p < 0.001), dyslipidemia (62.2 vs 64.3%, p = 0.023), coronary artery disease (19.6 vs 25.6%, p < 0.001), neoplasia (4.4 vs 7.0%, p < 0.001), peripheral arterial disease (5.2 vs 15.8%, p < 0.001) and chronic kidney disease (4.6 vs 10.0%, p < 0.001). Logistic regression revealed that body mass index, diabetes, arterial hypertension, neoplasia and dyslipidemia were not predictors of HF during the hospitalization for ACS. Nevertheless, female gender (odds ratio (OR) 1.37, p < 0.001, confidence interval (CI) 1.22-1.54), chronic kidney disease (OR 1.59, p < 0.001, CI 1.33-1.90) and peripheral arterial disease (OR 1.54, p < 0.001, CI 1.27-1.86) were predictors of new onset of HF during hospitalization for ACS. Curiously, smoking seems to have a protective effect (OR 0.68, p < 0.001, CI 0.59-0.78) in new onset HF in ACS patients. Conclusions Chronic kidney disease and peripheral arterial disease were predictors of new onset of HF in during hospitalization for ACS.

2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
H Santos ◽  
M Santos ◽  
I Almeida ◽  
H Miranda ◽  
C Sa ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. OnBehalf Portuguese Registry of Acute Coronary Syndromes Background Cardiovascular risk factors (CVRF) are a growing health problem in developed countries, being directly associated with acute coronary syndrome (ACS) occurrence and atrial fibrillation (AF). Nevertheless, new onset of AF in context of ACS is a clinical problem with prognostic and therapeutic implications. Objective Evaluate the impact of the CVRF in new onset AF during the hospitalization for ACS. Methods Multicenter retrospective study, based on the Portuguese Registry of ACS between 1/10/2010-4/09/2019. Patients were divided in two groups: A – without new onset of AF during the hospitalization for ACS and B – with new onset of AF during the hospitalization for ACS. CVFR was defined by body mass index, diabetes, arterial hypertension, smoking, coronary artery disease, neoplasia, dyslipidemia, chronic kidney disease and peripheral arterial disease. Logistic regression was performed to assess predictors of new onset AF in these patients. Results 14037 patients were included, 637 in group B (4.8%). Both groups were similar regarding diabetes mellitus (p = 0.116), coronary artery disease (p = 0.264) and neoplasia (p = 0.327). Curiously the group A exhibited higher body mass index (27.5 ± 4.3 vs 27.2 ± 4.4, p < 0.001), smokers (28.1 vs 18.5%, p < 0.001) and dyslipidemia (62.8 vs 56.7%, p < 0.001). On the other hand, group B presented more females (26.4 vs 35.0%, p < 0.001), arterial hypertension (70.0 vs 74.9%, p = 0.002), peripheral arterial disease (5.4 vs 8.4%, p < 0.001) and chronic kidney disease (6.7 vs 9.5%, p < 0.001). Logistic regression revealed that body mass index, smoker status, diabetes, dyslipidemia, coronary artery disease, neoplasia, chronic kidney disease and peripheral arterial disease were not predictors of AF during the hospitalization for ACS. Nonetheless, female gender (odds ratio (OR) 1.23, p = 0.025, confidence interval (CI) 1.03-1.47), obesity (OR 1.39, p = 0.004, CI 1.11-1.74) and arterial hypertension (OR 1.22, p = 0.049, CI 1.01-1.50) were predictors of new onset of AF during hospitalization for ACS. Conclusions: Female gender, obesity and arterial hypertension were predictors of new onset of AF in during hospitalization for ACS.


2021 ◽  
Vol 28 (Supplement_1) ◽  
Author(s):  
H Santos ◽  
M Santos ◽  
H Miranda ◽  
I Almeida ◽  
C Sa ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. OnBehalf Portuguese Registry of Acute Coronary Syndromes Background The presence of cardiovascular risk factors (CVRF) are directly related to acute coronary syndrome (ACS) occurrence. ACS is a major health problem with multiple complications. Completed atrioventricular block (CAVB) in context of ACS can impact the patient’s prognosis, and is not clarified if its presence can be predicted only by CVFR. Objective Evaluate the impact of the CVRF in CAVB during the hospitalization for ACS. Methods Multicenter retrospective study, based on the Portuguese Registry of ACS between 1/10/2010-4/09/2019. Patients were divided in two groups: A – without CAVB during the hospitalization for ACS and B – with CAVB during the hospitalization for ACS. CVFR was defined by body mass index, diabetes, arterial hypertension, smoking, coronary artery disease, neoplasia, dyslipidemia, chronic kidney disease and peripheral arterial disease. Logistic regression was performed to assess predictors of CAVB in these patients. Results 14031 patients were included, 401 in group B (2.9%). Both groups were similar regarding smoking status (p = 0.920), arterial hypertension (p = 0.928), diabetes mellitus (p = 0.249), peripheral arterial disease (p = 0.352) and chronic kidney disease (p = 0.783). Interestingly the group A exhibited higher body mass index (27.4 ± 4.3 vs 26.9 ± 4.5, p < 0.001), dyslipidemia (62.8 vs 53.6%, p < 0.001) and coronary artery disease (20.7 vs 15.0%, p = 0.001). On the other hand, group B presented more females (26.7 vs 31.5%, p = 0.012), mean age (66 ± 13 vs 71 ± 13, p < 0.001) and neoplasia (4.8 vs 7.1%, p = 0.012). Logistic regression revealed that any of the CVRF were a predictor of CAVB during the hospitalization for ACS. Just, age (odds ratio 1.48, p < 0.001, confidence interval 1.16-1.88) has been a predictor of CAVB during hospitalization for ACS. Conclusions Any CVFR was a predictor of CAVB in context of ACS. Age was a predictor of CAVB during hospitalization for ACS.


Circulation ◽  
2014 ◽  
Vol 130 (suppl_2) ◽  
Author(s):  
Gregory G Westin ◽  
Ehrin J Armstrong ◽  
Debbie C Chen ◽  
John R Laird

Introduction: Chronic kidney disease (CKD) is common in patients with peripheral arterial disease (PAD), but patients with severe CKD have been excluded from many trials and no objective performance goals exist for patients with PAD and CKD. We sought to analyze the association between severity of CKD and cardiovascular and limb-related outcomes among patients with PAD. Methods: We reviewed records of all patients at our institution who underwent lower extremity angiography between 2006 and 2013. We analyzed outcomes including mortality, major adverse cardiovascular event (MACE) rate, and major adverse limb event (MALE) rate according to clinical stage of CKD, determined by calculating each patient’s glomerular filtration rate using the Cockcroft-Gault equation. We used Cox proportional hazard modeling to account for covariates, along with Bonferroni correction for multiple comparisons. Results: Of 773 patients, 45% had CKD stage 3-5. The patients had a median age of 67, were 58% male, 51% diabetic, and 57% presented with critical limb ischemia (CLI). During a median follow-up time of 3.2 years, patients with higher stages of CKD had an increased rate of death (Figure 1, p<0.001). CKD stages 4 and 5 were significant predictors of mortality in a multivariate model (HR 3.2 and 2.4 vs. CKD 1, P<0.001 and P<0.01, respectively). An analysis of MACE by CKD stage demonstrated similar results (CKD 4 HR 2.2, p<0.01; CKD 5 HR 2.0, p<0.01). CKD stage also predicted MALE in a univariate analysis (p<0.01), driven by increased limb events among patients with CKD stage 5 (p<0.01). However, CKD stage did not demonstrate a significantly increased hazard of MALE in a multivariate Cox model. Conclusions: Patients with PAD who also have CKD have increased rates of adverse outcomes. This relationship seems to be more robust for major cardiovascular events and overall mortality than for major limb events. Future studies should investigate how management of PAD should differ for patients with CKD.


2005 ◽  
Vol 67 ◽  
pp. S44-S47 ◽  
Author(s):  
Soledad Garcia de Vinuesa ◽  
Mayra Ortega ◽  
Patricia Martinez ◽  
Marian Goicoechea ◽  
Francisco Gomez Campdera ◽  
...  

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