Background: The accuracy of physical activity (PA) monitors to discriminate between PA, sedentary behavior, and nonwear in extremely obese (EO) adolescents is unknown. Methods: Twenty-five subjects (9 male/16 female; age = 16.5 ± 2.0 y; BMI = 51 ± 8 kg/m2) wore 3 activity monitors (StepWatch [SAM], Actical [AC], Actiheart [AH]) during a 400-m walk test (400MWT), 2 standardized PA bouts of varying duration, and 1 sedentary bout. Results: For the 400MWT, percent error between observed and monitor-recorded steps was 5.5 ± 7.1% and 82.1 ± 38.6% for the SAM and AC steps, respectively (observed vs. SAM steps: −17.2 ± 22.2 steps; observed vs. AC steps: −264.5 ± 124.8 steps). All activity monitors were able to differentiate between PA and sedentary bouts, but only SAM steps and AH heart rate were significantly different between sedentary behavior and nonwear (P < .001). For all monitors, sedentary behavior was characterized by bouts of zero steps/counts punctuated by intermittent activity steps/counts; nonwear was represented almost exclusively by zero steps/counts. Conclusion: Of all monitors tested, the SAM was most accurate in terms of counting steps and differentiating levels of PA and thus, most appropriate for EO adolescents. The ability to accurately characterize PA intensity in EO adolescents critically depends on activity monitor selection.
The accuracy of physical activity (PA) monitors to discriminate between PA, sedentary behavior, and nonwear in extremely obese (EO) adolescents is unknown.Twenty-five subjects (9 male/16 female; age = 16.5 ± 2.0 y; BMI = 51 ± 8 kg/m2) wore 3 activity monitors (StepWatch [SAM], Actical [AC], Actiheart [AH]) during a 400-m walk test (400MWT), 2 standardized PA bouts of varying duration, and 1 sedentary bout.For the 400MWT, percent error between observed and monitor-recorded steps was 5.5 ± 7.1% and 82.1 ± 38.6% for the SAM and AC steps, respectively (observed vs. SAM steps: -17.2 ± 22.2 steps; observed vs. AC steps: -264.5 ± 124.8 steps). All activity monitors were able to differentiate between PA and sedentary bouts, but only SAM steps and AH heart rate were significantly different between sedentary behavior and nonwear (P < .001). For all monitors, sedentary behavior was characterized by bouts of zero steps/counts punctuated by intermittent activity steps/counts; nonwear was represented almost exclusively by zero steps/counts.Of all monitors tested, the SAM was most accurate in terms of counting steps and differentiating levels of PA and thus, most appropriate for EO adolescents. The ability to accurately characterize PA intensity in EO adolescents critically depends on activity monitor selection.
Introduction: Cardiac device extraction procedures are associated with increased risk of in-hospital mortality. The objective of this study was to determine risk factors for in-hospital mortality of patients undergoing cardiac device extraction. Methods: We studied patients undergoing cardiac device removal between January 2016 and December 2019 at a single tertiary care center. Baseline patient characteristics, comorbidities, and preoperative laboratory data were obtained by database query (Table 1) . The outcome of interest was in-hospital death following cardiac device extraction. Odds ratios (OR) and confidence intervals (CI) were used to measure relationships between exposures and the main outcome. Results: Our cohort consisted of 333 patients who underwent cardiac device extraction procedures. Cardiac device infection was the indication for procedure in 48% of patients (n=161). In-hospital mortality occurred in 9% of patients (n=29). Patients that died inpatient post-operatively were more likely to be male gender (OR 3.59, 95% CI [1.2, 10.6], p = 0.02), have acute kidney failure (OR 3.17, 95% CI [1.42, 7.05], p = 0.005), have anemia (OR 3.22, 95% CI [1.49, 6.99], p = 0.003), or have a diagnosis of severe malnutrition (OR 2.88, 95% CI [1.26, 6.58], p = 0.01). In a subgroup analysis, patients with diabetes undergoing extraction for infectious reasons had an increased risk of in-hospital mortality (OR 4.36, 95% CI [1.54, 12.34], p = 0.005). Conclusion: Patients undergoing cardiac device extraction are high risk for in-hospital mortality. Patients experiencing in-hospital mortality were more likely to be male, have acute renal failure, anemia and severe malnutrition. Careful analysis of preoperative risk factors, laboratory data, and nutritional status can help stratify risk for patients and providers.
