Midterm Durability and Structural Valve Degeneration of Transcatheter Aortic Valve Replacement in a Federal Facility.

OBJECTIVE: Transcatheter aortic valve replacement (TAVR), previously reserved for patients of intermediate to prohibitive surgical risk, has now been expanded to patients of any surgical risk with severe aortic stenosis. Bioprostheses are prone to structural valve degeneration (SVD), a progressive and multifactorial process that limits valve durability. As the population undergoing TAVR shifts toward a lower-risk and younger profile, long-term durability is a crucial determinant for patient outcomes. Our objective was to determine the incidence and risk factors of SVD at midterm follow-up in a veteran TAVR population. METHODS: Patients undergoing TAVR at our federal facility were retrospectively evaluated for SVD and other endpoints with standardized consensus criteria. Multivariable Cox proportional hazards analysis was performed to evaluate risk factors for mortality and SVD. RESULTS: From 2013 to 2020, 344 patients (median age, 78 years) underwent TAVR. Survival from all-cause mortality was 91.3% at 1 year, 75.1% at 3 years, and 61.7% at 5 years. Cumulative freedom from SVD was 98.2% at 1 year, 96.5% at 3 years, and 93.7% at 5 years. All 13 patients with SVD met hemodynamic criteria, and 1 required intervention. Median time to hemodynamic SVD was 1.04 years. Independent risk factors for SVD included age (hazard ratio [HR] = 0.92, 95% confidence interval [CI]: 0.86 to 0.99) and valve size (HR = 0.19, 95% CI: 0.04 to 0.89). CONCLUSIONS: SVD was evident at a low but detectable rate at 5-year follow-up. Further understanding of TAVR biomechanics as well as continued longer-term follow-up will be essential for informing patient-specific risk of SVD.

Assessment of Child Lead Exposure in a Philadelphia Community, 2014.

INTRODUCTION: Several urban neighborhoods in Philadelphia, Pennsylvania, have a history of soil, household lead paint, and potential lead-emitting industry contamination. OBJECTIVES: To (1) describe blood lead levels (BLLs) in target neighborhoods, (2) identify risk factors and sources of lead exposure, (3) describe household environmental lead levels, and (4) compare results with existing data. METHODS: A simple, random, cross-sectional sampling strategy was used to enroll children 8 years or younger living in selected Philadelphia neighborhoods with a history of lead-emitting industry during July 2014. Geometric mean of child BLLs and prevalence of BLLs of 5 µg/dL or more were calculated. Linear and logistic regression analyses were used to ascertain risk factors for elevated BLLs. RESULTS: Among 104 children tested for blood lead, 13 (12.4%; 95% confidence interval [CI], 7.5-20.2) had BLLs of 5 µg/dL or more. The geometric mean BLL was 2.0 µg/dL (95% CI, 1.7-2.3 µg/dL). Higher geometric mean BLLs were significantly associated with front door entryway dust lead content, residence built prior to 1900, and a child currently or ever receiving Medicaid. Seventy-one percent of households exceeded the screening level for soil, 25% had an elevated front door floor dust lead level, 28% had an elevated child play area floor dust lead level, and 14% had an elevated interior window dust lead level. Children in households with 2 to 3 elevated environmental lead samples were more likely to have BLLs of 5 µg/dL or more. A spatial relationship between household proximity to historic lead-emitting facilities and child BLL was not identified. CONCLUSION: Entryway floor dust lead levels were strongly associated with blood lead levels in participants. Results underscore the importance to make housing lead safe by addressing all lead hazards in and around the home. Reduction of child lead exposure is crucial, and continued blood lead surveillance, testing, and inspection of homes of children with BLLs of 5 µg/dL or more to identify and control lead sources are recommended. Pediatric health care providers can be especially vigilant screening Medicaid-eligible/enrolled children and children living in very old housing.

Electrocardiographic left atrial abnormalities predict cardiovascular mortality.

OBJECTIVE: Clinical utilization of electrocardiography for diagnosis of left atrial abnormalities is hampered by variable P-wave morphologies, multiple empiric criteria, and lack of an imaging "gold standard". Our aim was to determine the prevalence of P-wave patterns and demonstrate which components have associations with cardiovascular death (CVD). METHODS: This is a retrospective analysis of 20,827 veterans <56 years of age who underwent electrocardiograms at a Veteran's Affairs Medical Center from 1987 to 1999, followed for a median duration of 17.8 years for CVD. Receiver Operating Characteristic, Kaplan-Meier and Cox Hazard analyses were applied, the latter with adjustment for age, gender and electrocardiography abnormalities. RESULTS: The mean age was 43.3 ±â€¯8 years, and 888 CVD (4.3%) occurred. A single positive deflection of the P-wave (Pattern 1) was present in 29% for V1 and 81% for V2. A singular negative P-wave (Pattern 2) was present in 4.6% for V1 and 1.6% in V2. A P-wave with an upward component followed by downward component (Pattern 3) was present in 64.5% for V1 and 17.5% for V2. When the downward component in Patterns 2 and/or 3 is at least -100 µV, a significant association is observed with CVD (adjusted hazard ratios [HRs] 2.9-4.1, P < 0.001). Total P-wave duration ≥140 ms was also associated with CVD (adjusted HR 2.2, P < 0.001). CONCLUSIONS: A negative P-wave in V1 or V2 ≤-100 µV, and P-wave with a duration of ≥140 ms, all have independent and significant associations with CVD, with HRs comparable to other electrocardiography abnormalities.

Challenges of service coordination for evacuees of Hurricane Maria through the National Disaster Medical System.

OBJECTIVE: To describe the challenges of service coordination through the National Disaster Medical System (NDMS) for Hurricane Maria evacuees, particularly those on dialysis. DESIGN: Public health report. SETTING: Georgia. REPORT: On November 25, 2017, there were 208 patients evacuated to Georgia in response to Hurricane Maria receiving NDMS support. Most were evacuated from the US Virgin Islands (97 percent) and the remaining from Puerto Rico (3 percent); 73 percent of these patients were on dialysis, all from the US Virgin Islands. From the beginning of the evacuation response through November 25, 2017, there were 282 patients evacuated to Georgia via NDMS, with a median length of coverage through NDMS for those on and not on dialysis of 60 and 16 days, respectively. CONCLUSION: The limited capacity and capability of dialysis centers currently in the US Virgin Islands are delaying the return to home of many Hurricane Maria evacuees who are on dialysis.

Percentile categorization of QT interval as an approach for identifying adult patients at risk for cardiovascular death.

BACKGROUND: The results from studies of the association of QT prolongation with cardiovascular death (CVD) have been inconsistent. OBJECTIVE: The purpose of this study was to compare the major correction formulas to percentile values of QT for heart rate ranges as to their ability to remove the relationship of QT to heart rate and to predict CVD. METHODS: Participants were 16,531 veterans who had an initial ECG at the Veterans Affairs Medical Center, Palo Alto, between March 31, 1987, and December 20, 1999, and were followed for CVD. The 4 major correction formulas (Bazett, Fridericia, Framingham, and Hodges) were used to correct QT interval. In addition, the percentiles for heart rate ranges as proposed by Schwartz were calculated. RESULTS: During median follow-up of 17.8 years, 455 CVD events occurred. When compared to the other equations, QTc Bazett had the greatest dependence on heart rate (R2 = 0.18). The hazard ratio (95% confidence interval) for CVD was 2.08 (1.28-3.9) for the 98th percentile of QT interval by heart rate ranges, 2.05 (1.27-3.33) for QTc Bazett, 1.39 (0.44-4.34) for QTc Fridericia, 1.05 (0.26-4.24) for QTc Hodges, and 1.12 (0.28-4.52) for QTc Framingham. The hazard ratio of QTc Bazett was significantly higher than the other formulas except for the 98th percentile method. CONCLUSION: The Framingham, Hodges, and Fridericia equations remove the effect of heart rate on QT interval significantly better than the Bazett equation. Using QT-interval percentiles based on heart rate provides a consistent approach both for identifying those whose QT intervals prolong due to drugs or other stressors and for assessing CVD risk.

Normal computerized Q wave measurements in healthy young athletes.

BACKGROUND: Recent Expert consensus statements have sought to decrease false positive rates of electrocardiographic abnormalities requiring further evaluation when screening young athletes. These statements are largely based on traditional ECG patterns and have not considered computerized measurements. OBJECTIVE: To define the normal limits for Q wave measurements from the digitally recorded ECGs of healthy young athletes. METHODS: All athletes were categorized by sex and level of participation (high school, college, and professional), and underwent screening ECGs with routine pre-participation physicals, which were electronically captured and analyzed. Q wave amplitude, area and duration were recorded for athletes with Q wave amplitudes greater than 0.5mm at standard paper amplitude display (1mV/10mm). ANOVA analyses were performed to determine differences these parameters among all groups. A positive ECG was defined by our Stanford Computerized Criteria as exceeding the 99th percentile for Q wave area in 2 or more leads. Proportions testing was used to compare the Seattle Conference Q wave criteria with our data-driven criteria. RESULTS: 2073 athletes in total were screened. Significant differences in Q wave amplitude, duration and area were identified both by sex and level of participation. When applying our Stanford Computerized Criteria and the Seattle criteria to our cohort, two largely different groups of athletes are identified as having abnormal Q waves. CONCLUSION: Computer analysis of athletes' ECGs should be included in future studies that have greater numbers, more diversity and adequate end points.