Sociodemographic Factors and Survival of Infants With Congenital Heart Defects.

OBJECTIVES: To examine the first-year survival of infants with congenital heart defects (CHDs) and investigate the potential role of socioeconomic and demographic factors on survival. METHODS: Subjects included 15 533 infants with CHDs born between 2004 and 2013 ascertained by the NC Birth Defects Monitoring Program. We classified CHDs into the following 3 groups: critical univentricular (n = 575), critical biventricular (n = 1494), and noncritical biventricular (n = 13 345). We determined vital status and age at death through linkage to state vital records and used geocoded maternal residence at birth to obtain census information for study subjects. We calculated Kaplan-Meier survival estimates by maternal and infant characteristics and derived hazard ratios from Cox proportional hazard models for selected exposures. RESULTS: Among all infants with CHDs, there were 1289 deaths (8.3%) in the first year. Among infants with univentricular defects, 61.6% (95% confidence interval [CI]: 57.7%-65.7%) survived. Survival among infants with univentricular defects was considerably better for those whose fathers were ≥35 years old (71.6%; 95% CI: 63.8%-80.3%) compared with those whose fathers were younger (59.7%; 95% CI: 54.6%-65.2%). Factors associated with survival among infants with any biventricular defect included maternal education, race and/or ethnicity, marital status, and delivery at a heart center. The hazard of infant mortality was greatest among non-Hispanic African American mothers. CONCLUSIONS: Survival among infants with critical univentricular CHDs was less variable across sociodemographic categories compared with survival among infants with biventricular CHDs. Sociodemographic differences in survival among infants with less severe CHDs reinforces the importance of ensuring culturally effective pediatric care for at-risk infants and their families.

A geographic information system analysis of the impact of a statewide acute stroke emergency medical services routing protocol on community hospital bypass.

BACKGROUND: Our goal was to determine if a statewide Emergency Medical Services (EMSs) Stroke Triage and Destination Plan (STDP), specifying bypass of hospitals unable to routinely treat stroke patients with thrombolytics (community hospitals), changed bypass frequency of those hospitals. METHODS: Using a statewide EMS database, we identified stroke patients eligible for community hospital bypass and compared bypass frequency 1-year before and after STDP implementation. RESULTS: Symptom onset time was missing for 48% of pre-STDP (n = 2385) and 29% of post-STDP (n = 1612) cases. Of the remaining cases with geocodable scene addresses, 58% (1301) in the pre-STDP group and 61% (2,078) in the post-STDP group were ineligible for bypass, because a community hospital was not the closest hospital to the stroke event location. Because of missing data records for some EMS agencies in 1 or both study periods, we included EMS agencies from only 49 of 100 North Carolina counties in our analysis. Additionally, we found conflicting hospital classifications by different EMS agencies for 35% of all hospitals (n = 38 of 108). Given these limitations, we found similar community hospital bypass rates before and after STDP implementation (64%, n = 332 of 520 vs. 63%, n = 345 of 552; P = .65). CONCLUSIONS: Missing symptom duration time and data records in our state's EMS data system, along with conflicting hospital classifications between EMS agencies limit the ability to study statewide stroke routing protocols. Bypass policies may apply to a minority of patients because a community hospital is not the closest hospital to most stroke events. Given these limitations, we found no difference in community hospital bypass rates after implementation of the STDP.

Association between arsenic, cadmium, manganese, and lead levels in private wells and birth defects prevalence in North Carolina: a semi-ecologic study.

BACKGROUND: Toxic metals including arsenic, cadmium, manganese, and lead are known human developmental toxicants that are able to cross the placental barrier from mother to fetus. In this population-based study, we assess the association between metal concentrations in private well water and birth defect prevalence in North Carolina. METHODS: A semi-ecologic study was conducted including 20,151 infants born between 2003 and 2008 with selected birth defects (cases) identified by the North Carolina Birth Defects Monitoring Program, and 668,381 non-malformed infants (controls). Maternal residences at delivery and over 10,000 well locations measured for metals by the North Carolina Division of Public Health were geocoded. The average level of each metal was calculated among wells sampled within North Carolina census tracts. Individual exposure was assigned as the average metal level of the census tract that contained the geocoded maternal residence. Prevalence ratios (PR) with 95% confidence intervals (CI) were calculated to estimate the association between the prevalence of birth defects in the highest category (≥90th percentile) of average census tract metal levels and compared to the lowest category (≤50th percentile). RESULTS: Statewide, private well metal levels exceeded the EPA Maximum Contaminant Level (MCL) or secondary MCL for arsenic, cadmium, manganese, and lead in 2.4, 0.1, 20.5, and 3.1 percent of wells tested. Elevated manganese levels were statistically significantly associated with a higher prevalence of conotruncal heart defects (PR: 1.6 95% CI: 1.1-2.5). CONCLUSIONS: These findings suggest an ecologic association between higher manganese concentrations in drinking water and the prevalence of conotruncal heart defects.

Geographic and sociodemographic disparities in drive times to Joint Commission-certified primary stroke centers in North Carolina, South Carolina, and Georgia.

INTRODUCTION: Timely access to facilities that provide acute stroke care is necessary to reduce disabilities and death from stroke. We examined geographic and sociodemographic disparities in drive times to Joint Commission-certified primary stroke centers (JCPSCs) and other hospitals with stroke care quality improvement initiatives in North Carolina, South Carolina, and Georgia. METHODS: We defined boundaries for 30- and 60-minute drive-time areas to JCPSCs and other hospitals  by  using geographic information systems (GIS) mapping technology and calculated the proportions of the population living in these drive-time areas by sociodemographic characteristics. Age-adjusted county-level stroke death rates were overlaid onto the drive-time areas. RESULTS: Approximately 55% of the population lived within a 30-minute drive time to a JCPSC; 77% lived within a 60-minute drive time. Disparities in percentage of the population within 30-minute drive times were found by race/ethnicity, education, income, and urban/rural status; the disparity was largest between urban areas (70% lived within 30-minute drive time) and rural areas (26%). The rural coastal plains had the largest concentration of counties with high stroke death rates and the fewest JCPSCs. CONCLUSION: Many areas in this tri-state region lack timely access to JCPSCs. Alternative strategies are needed to expand provision of quality acute stroke care in this region. GIS modeling is valuable for examining and strategically planning the distribution of hospitals providing acute stroke care.

Drive-time proximity to Joint Commission Primary Stroke Centers among North Carolina residents who died of stroke.

OBJECTIVE: In developing a statewide system of stroke care, understanding the relative availability of acute stroke care at designated centers for stroke care is essential. In this article, we compare the change in availability of acute stroke care in North Carolina at Joint Commission Primary Stroke Centers (JCPSCs) between 2006 and 2008 by examining the drive-time proximity of the residential address to the nearest JCPSC among people who died of stroke. METHODS: We assigned geographic coordinates to residential addresses of North Carolinians who died of stroke and to addresses of North Carolina JCPSCs. We calculated the distance within a 40-minute drive from each JCPSC and determined whether the residential addresses of patients who died of stroke were in the areas demarcated by the drive time. In a secondary analysis, we included non-ICPSCs that participate in recognized quality-improvement programs for stroke care. RESULTS: In 2006, 37% of geocodable residences of patients who died of stroke (3,834 of 10,469) were within a 40-minute drive from a JCPSC. By the end of 2008, this percentage increased to 56% (3,482 of 6,204). Inclusion of other hospitals that participate in recognized quality-improvement programs for acute stroke care increased the 40-minute drive-time coverage to 82% (5,095 of 6,204). LIMITATIONS: As an index of the geographic distribution of the stroke burden, we used deaths due to stroke, rather incident strokes. We included several assumptions in our drive-time calculation. CONCLUSIONS: For many regions of North Carolina in which the stroke burden is high, timely care at JCPSCs for acute stroke is unavailable. To develop a statewide system for acute stroke care in North Carolina, criteria beyond JCPSC certification should be considered for designating hospitals as centers for stroke care.