Bansal, Prerna B.

Aim: Studies in the past have linked obesity as a risk factor for atrial fibrillation (AF). However, there is a paucity of data on this influence in young adult males. This meta-analysis aims to evaluate and stratify the association between BMI and AF among young men. Methods: PubMed, Scopus, and Google Scholar databases were systematically reviewed for studies reporting long term-incidence of atrial fibrillation in young male adults (18-49 years) with obesity (BMI>30 kg/m 2 ), and overweight BMI (BMI 20-25 kg/m 2 ). Random effects models were used for the meta-analyses and subgroup analyses. I 2 statistics were used to identify (>50%) heterogeneity. A sensitivity analysis was performed using leave-one-out method. Results: Six studies with a total of 21,856,538 individuals were screened, out of which 6,732,531 young males with higher BMI and obesity were evaluated for the risk of Atrial fibrillation for a median follow-up duration of 6.3 years (3.3 - 29 years range). South Korean and Japanese studies together constituted 99.86% of the study population. Most commonly associated comorbidities were hypertension, diabetes mellitus type 2, dyslipidemia and smoking. The unadjusted HR showed a significant association between overweight (BMI 25-30) [OR:1.42, (95%CI:1.28-1.58, I 2 : 75.86%; p< 0.01] and obesity (BMI >30) and AF [OR: 2.02, (95%CI: 1.77-2.29, I 2 :64.3%; p=0.02] in young adult males. After multivariable analysis, the association remained significant for overweight [OR:1.22, 95%CI: 1.14-1.32, I 2 : 82.74%; p< 0.01] and obesity [OR:1.48, 95%CI: 1.29-1.71, I 2 : 90.43%; p< 0.01]. Sensitivity analysis indicated that no single study unduly influenced the pooled estimates. Conclusion: This meta-analysis revealed that higher BMI (overweight and obese) in young males is associated with an increased long-term risk of AF over a median follow-up duration of 6.3 years.

Background: Patient-prosthesis mismatch (PPM) is still a frequently encountered problem after aortic valve surgery for aortic stenosis(AS). Advanced planning for prevention of PPM would be beneficial. We hypothesized that identification of severe PPM based on chosen surgical valve will predict development of severe PPM after surgery. Methods: Fifty one patients (74±13yrs) with severe aortic valve stenosis who underwent aortic valve surgery had postoperative echocardiogram (TTE) within 6 months. Severe PPM was defined as effective orifice area index (EOAI)<0.65 cm2/m2.We calculated predicted severe PPM using published references values of the prosthetic valve. We used mean value and the values one standard deviation above and below. We compared these values to the actual PPM based on postoperative TTE. Results: All patients had severe AS (MG50±7 mm Hg) and an LV EF of 56±15%. Forty four patients had tissue valves implanted and 7 had mechanical valves implanted. Mean time between postoperative TTE and surgery was 39± 60 days. When the mean reference values for the valve implanted was used, only 1 patient (2%) was predicted to have severe PPM. However, based on postoperative TTE, 6 patients (13%) had severe PPM. There was no correlation between EOAI based on postop TTE and mean published reference values (Figure).When the EOAI below one SD of the published reference value was chosen, the predicted incidence of severe PPM was 38%. When the EOAI above one SD was chosen for the reference value none of the patients were predicted to have PPM. Sensitivity and specificity to identify severe PPM was 17% and 100% for mean published reference value while it was 0% and 100% for +1 SD and 83% and 68% for -1 SD. Conclusions: 1) Use of mean published reference values markedly under estimate the true incidence of post-operative PPM and has unacceptably low sensitivity. 2) Predicted occurrence of PPM was widely variable (0% to 38%) based on the published reference values. Larger studies are needed.