Patient Selection and Outcomes of Transfemoral Transcatheter Aortic Valve Replacement Performed with Monitored Anesthesia Care Versus General Anesthesia.

OBJECTIVE: The aim of this study was to compare outcomes of monitored anesthesia care (MAC) versus general anesthesia (GA) for transfemoral transcatheter aortic valve replacement (TF-TAVR) and to describe a selection process for the administration of MAC. DESIGN: Retrospective analysis of patients who underwent TF-TAVR under MAC or GA. SETTING: Department of Cardiac Anesthesia, Albany Medical Center, a tertiary university hospital. PARTICIPANTS: Patients selected for TF-TAVR. INTERVENTIONS: Patients were divided into those who underwent MAC and those who underwent GA. MEASUREMENTS AND MAIN RESULTS: The study comprised 104 consecutive patients (55% male, mean age 83 years) who underwent TF-TAVR under MAC (n = 60) or GA (n = 37) from 2014 to 2015. Seven patients were converted from MAC to GA and were omitted from analysis. There was no statistically significant difference between 30-day mortality and complications between the 2 groups. The MAC group had a significantly shorter median intensive care unit length of stay (48 h v 74 h, p = 0.0002). The MAC group also demonstrated reduced procedural time (45.5 min v 62 min, p = 0.003); operating room time (111 min v 153 min, p = <0.001); and fluoroscopy time (650 s v 690 s, p = 0.03). CONCLUSIONS: Patient selection for TF-TAVR with MAC can be formalized and implemented successfully. MAC allows for the minimizing of patient exposure to unnecessary interventions and improving resource utilization in suitable TAVR patients. Selection requires a multidisciplinary clinical decision-making process. MAC demonstrates good outcomes compared with GA, yet it is important to have a cardiac anesthesiologist present in the event of emergency conversion to GA.

Improved body composition assessment using biceps skinfold and physical activity score in premenarcheal girls: a DXA-based validation study.

OBJECTIVE: Age-specific body mass index (BMI) is commonly employed as an index of adiposity for pediatric clinical and research purposes. However, BMI fails to discriminate between fat and lean mass, making it an imperfect monitor for obesity. We hypothesized that simple anthropometry and organized non-aquatic physical activity assessment (PA) would provide superior explanatory value for pediatric body composition outcomes. RESEARCH METHODS AND PROCEDURES: In a cross-sectional analysis, whole body DXA assessed body composition in 120 pre-menarcheal girls. Questionnaires were used to record and generate annual means for PA. Age, Tanner breast self-stage, height, weight, BMI, skinfold thicknesses, girths and PA were examined as potential predictors of body composition outcomes, using backward stepwise multiple linear regression. A parsimonious regression model was developed in 75% and cross-validated in 25% of the total sample; models were rerun with the total sample. RESULTS: Subject means were as follows: age = 10.4±1.2 y; lean soft tissue (LST) = 24.4±4.2 kg; fat mass (FM) = 8.1±4.1 kg; BMI = 17.6±2.5 kg/m2; PA = 6.8±5.0 h/wk; Tanner breast self-stage ranged from 1 to 3. BMI for age Z scores ranged from -2 to 2.1. Age and BMI alone yielded adjusted model r2=0.44 to 0.78. The final model, including age, height, weight, biceps skinfold and PA, yielded adjusted r2=0.61 to 0.92, P <0.001. Prediction of LST and FM increased from r2=0.64 and 0.76 to r2=0.92 and 0.91, respectively. DISCUSSION: Compared to BMI and age alone, models including biceps skinfold, PA, height, weight and age had superior explanatory value for clinically-relevant body composition outcomes, and are feasible for clinical use.