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Annals of the Academy of Medicine, Singapore ; : 273-284, 2020.
Article in English | WPRIM | ID: wpr-827357

ABSTRACT

INTRODUCTION@#Chronic kidney disease (CKD) is a significant comorbidity in aortic stenosis (AS) patients. We examined the impact of baseline CKD, postoperative acute kidney injury (AKI) and CKD progression on clinical outcomes in patients who underwent transcatheter aortic valve implantation (TAVI).@*MATERIALS AND METHODS@#Consecutive patients with severe AS who underwent TAVI were classified into CKD stages 1-2 (≥60 mL/min/1.72m), 3 (30-59 mL/min/1.73m) and 4-5 (<30 mL/min/1.73m or dialysis) based on estimated glomerular filtration rate (eGFR). Primary outcome was mortality and secondary outcomes included 1-year echocardiographic data on aortic valve area (AVA), mean pressure gradient (MPG) and aortic regurgitation (AR).@*RESULTS@#A total of 216 patients were included. Higher eGFR was associated with lower overall mortality (adjusted hazards ratio [AHR] 0.981, 95% confidence interval [CI] 0.968-0.993, = 0.002). CKD 4-5 were associated with significantly higher mortality from non-cardiovascular causes ( <0.05). Patients with CKD 3-5 had higher incidence of moderate AR than those with CKD 1-2 ( = 0.010); no difference in AVA and MPG was seen. AKI patients had higher mortality ( = 0.008), but the effect was attenuated on multivariate analysis (AHR 1.823, 95% CI 0.977-3.403, = 0.059). Patients with CKD progression also had significantly higher mortality (AHR 2.969, 95% CI 1.373-6.420, = 0.006).@*CONCLUSION@#CKD in severe AS patients undergoing TAVI portends significantly higher mortality and morbidity. Renal disease progression impacts negatively on outcomes and identifies a challenging subgroup of patients for optimal management.

2.
Annals of the Academy of Medicine, Singapore ; : 351-356, 2016.
Article in English | WPRIM | ID: wpr-353680

ABSTRACT

<p><b>INTRODUCTION</b>Door-to-balloon (DTB) time is critical to ST elevation myocardial infarction (STEMI) patients' survival. Although DTB time is reduced with direct cardiovascular laboratory (CVL) activation by emergency physicians, concerns regarding false-positive activation remain. We evaluate false-positive rates before and after direct CVL activation and factors associated with false-positive activations.</p><p><b>MATERIALS AND METHODS</b>This is a retrospective single centre study of all emergency CVL activation 3 years before and after introduction of direct activation in July 2007. False-positive activation is defined as either: 1) absence of culprit vessel with coronary artery thrombus or ulceration, or 2) presence of chronic total occlusion of culprit vessel, with no cardiac biomarker elevations and no regional wall abnormalities. All false-positive cases were verified by reviewing their coronary angiograms and patient records.</p><p><b>RESULTS</b>A total of 1809 subjects were recruited; 84 (4.64%) identified as false-positives. Incidence of false-positive before and after direct activation was 4.1% and 5.1% respectively, which was not significant (P = 0.315). In multivariate logistic regression analysis, factors associated with false-positive were: female (odds ratio (OR): 2.104 [1.247-3.548], P = 0.005), absence of chest pain (OR: 5.369 [3.024-9.531], P <0.0001) and presence of only left bundle branch block (LBBB) as indication for activation (OR: 65.691 [19.870-217.179], P <0.0001).</p><p><b>CONCLUSION</b>Improvement in DTB time with direct CVL activation by emergency physicians is not associated with increased false-positive activations. Factors associated with false-positive, especially lack of chest pain or LBBB, can be taken into account to optimise STEMI management.</p>


Subject(s)
Humans , Bundle-Branch Block , Epidemiology , Cardiac Catheterization , Chest Pain , Epidemiology , Coronary Angiography , Disease Management , Emergency Medicine , Logistic Models , Multivariate Analysis , Percutaneous Coronary Intervention , Physicians , Retrospective Studies , ST Elevation Myocardial Infarction , Diagnosis , Epidemiology , Therapeutics , Sex Factors , Singapore , Epidemiology , Time-to-Treatment
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