SummaryBackgroundDetailed assessments of mortality patterns, particularly age-specific mortality, represent a crucial input that enables health systems to target interventions to specific populations. Understanding how all-cause mortality has changed with respect to development status can identify exemplars for best practice. To accomplish this, the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) estimated age-specific and sex-specific all-cause mortality between 1970 and 2016 for 195 countries and territories and at the subnational level for the five countries with a population greater than 200 million in 2016.MethodsWe have evaluated how well civil registration systems captured deaths using a set of demographic methods called death distribution methods for adults and from consideration of survey and census data for children younger than 5 years. We generated an overall assessment of completeness of registration of deaths by dividing registered deaths in each location-year by our estimate of all-age deaths generated from our overall estimation process. For 163 locations, including subnational units in countries with a population greater than 200 million with complete vital registration (VR) systems, our estimates were largely driven by the observed data, with corrections for small fluctuations in numbers and estimation for recent years where there were lags in data reporting (lags were variable by location, generally between 1 year and 6 years). For other locations, we took advantage of different data sources available to measure under-5 mortality rates (U5MR) using complete birth histories, summary birth histories, and incomplete VR with adjustments; we measured adult mortality rate (the probability of death in individuals aged 15–60 years) using adjusted incomplete VR, sibling histories, and household death recall. We used the U5MR and adult mortality rate, together with crude death rate due to HIV in the GBD model life table system, to estimate age-specific and sex-specific death rates for each location-year. Using various international databases, we identified fatal discontinuities, which we defined as increases in the death rate of more than one death per million, resulting from conflict and terrorism, natural disasters, major transport or technological accidents, and a subset of epidemic infectious diseases; these were added to estimates in the relevant years. In 47 countries with an identified peak adult prevalence for HIV/AIDS of more than 0·5% and where VR systems were less than 65% complete, we informed our estimates of age-sex-specific mortality using the Estimation and Projection Package (EPP)-Spectrum model fitted to national HIV/AIDS prevalence surveys and antenatal clinic serosurveillance systems. We estimated stillbirths, early neonatal, late neonatal, and childhood mortality using both survey and VR data in spatiotemporal Gaussian process regression models. We estimated abridged life tables for all location-years using age-specific death rates. We grouped locations in...

The incidence of VCD and swallowing dysfunction in neonates undergoing aortic arch reconstruction is high. Patients with VCD have a significantly higher incidence of gastrostomy placement and aspiration. In the Norwood population, length of stay is not associated with presence or absence of VCD. More than 70% of patients in each group who had direct flexible laryngoscopy follow-up recovered vocal cord function.

BACKGROUNDRace-related health disparities have been well documented in the United States. In some settings, Black patients have better outcomes in hospitals that serve high proportions of Black patients. We hypothesized that Black trauma patients would have lower mortality in high Black-serving (H-BS) hospitals.METHODSWe identified all adult patients with Black or White race and with an Injury Severity Score of ≥4 from the 2017 National Inpatient Sample. We collected hospital identifier, mechanism, age, sex, comorbidities, urban-rural location, insurance, zip code income quartile, and injury severity calculated from International Classification of Diseases, Tenth Revision, codes. We used a previously published method to group hospitals by proportion of Black patients served: HB-S (top 5%), medium Black serving (5–25%), and low Black serving (L-BS; bottom 75%). Adjusted logistic regression using an interaction variable between race and hospital service rank (reference: White patients in H-BS) was used to identify factors associated with mortality.RESULTSWe analyzed 184,080 trauma patients (median age, 72 years [interquartile range, 55–84 years]; Injury Severity Score, 9 [4–10]), of whom 11.7% were Black. Overall mortality was 4%. Of 2,376 hospitals, 126 (5.3%) were H-BS and 469 (19.7%) were medium Black serving. Furthermore, 29.8% of Black and 3.6% of White patients were treated at H-BS hospitals, while 71.7% of White and 23.6% of Black patients were treated at L-BS hospitals (p < 0.001). Black patients had the lowest mortality at H-BS hospitals (odds ratio [OR], 0.76 [0.64–0.92]) and the highest mortality (OR, 1.43 [1.13–1.80]) at L-BS hospitals. White patients had the lowest mortality at L-BS hospitals (OR, 0.76 [0.64–0.92]).CONCLUSIONAfter adjusting for patient and hospital factors, disparities exist such that Black and White patients have the best outcomes in hospitals that treat those patients most frequently, suggesting potential for racial bias at the institutional level. Further efforts must be made to promote equitable treatment at all hospitals and reduce these disparities.LEVEL OF EVIDENCEPrognostic and Epidemiologic; Level IV.