Ethnoracial Disparities in Rates of Non-Natural Causes of Death After the 2020 COVID-19 Outbreak in New York State.

Introduction: COVID-19 was associated with increases in non-natural cause mortality in the U.S., including deaths due to drug overdose, homicide, and motor vehicle crashes. Initial reports indicated higher rates of non-natural mortality among ethnoracial minority groups. This report aims to clarify these disparities by documenting trends in non-natural mortality across ethnoracial groups during the 2020 COVID-19 surge in New York State. Methods: We report monthly trends in non-natural cause mortality (overall and stratified by ethnoracial status) in New York State from January 2019 through December 2020, which included the COVID-19 onset in March 2020. Results: Total mean monthly unintentional overdose rates per 100,000 increased from 17.45 (before surge: January 2019-February 2020) to 23.19 (after surge: March 2020-December 2020) (mean difference=5.73, 95% CI=3.82, 7.65; p<0.001). Mean monthly homicide death rates increased from 2.34 before surge to 3.55 after surge (mean difference=1.20, 95% CI=0.60, 1.81; p<0.001), with the increase seen primarily in the non-Latinx Black population. Although increasing unintentional overdose death rates before surge equally affected non-Latinx White, Latinx, and non-Latinx Black persons, they remained high for non-Latinx Black persons but dropped for the other 2 groups after the pandemic onset. None of the ethnoracial subgroups showed significant increases in suicide or motor vehicle crash death rates. Conclusions: Non-Latinx Black persons showed disproportionately high and sustained increased rates of unintentional overdose and homicide death rates after the 2020 COVID-19 surge in New York State. Fatality review and death scene investigation research is needed to better understand these disparities.

Factors associated with 1-year mortality after discharge for acute stroke: what matters?

OBJECTIVE: To evaluate factors associated with 1-year mortality after discharge for acute stroke. METHODS: In this retrospective cohort study, we studied 305 patients with ischemic stroke or intracerebral hemorrhage discharged in 2010/2011. We linked Get With The Guidelines®-Stroke clinical data with New York State administrative data and used multivariate regression models to examine variables related to 1-year all-cause mortality poststroke. RESULTS: The mean age was 68.6 ± 14.8 years and 51.1% were women. A total of 146 (47.9%) were discharged directly home, 96 (31.5%) to inpatient rehabilitation facilities (IRFs), and 63 (20.7%) to skilled nursing facilities (SNFs). Overall, 24 (7.9%) patients died within 1-year post-discharge. Older age (adjusted odds ratio [OR] 1.05, 95% confidence interval [CI] 1.00-1.10), higher National Institutes of Health Stroke Scale (NIHSS) on admission (OR 1.10, 95% CI 1.03-1.17), and discharge destination (IRF vs. home, OR 0.10, 95% CI 0.01-0.94; and SNF vs. home, OR 2.22, 95% CI 0.71-6.95) were factors associated with 1-year all-cause mortality. When ambulation status at discharge was added to the model, ambulation with assistance and non-ambulation were significantly associated with mortality (ambulatory with assistance vs. ambulatory, OR 9.42, 95% CI 1.87-47.61; nonambulatory vs. ambulatory, OR 12.65, 95% CI 1.89-84.89). CONCLUSIONS: While age and NIHSS on admission are important predictors of long-term outcomes, factors at discharge - ambulation status at discharge and discharge destination - are associated with 1-year mortality post-discharge for acute stroke and therefore could represent therapeutic targets to improve long-term survival in future studies.

Reporting of Sepsis Cases for Performance Measurement Versus for Reimbursement in New York State.

OBJECTIVES: Under "Rory's Regulations," New York State Article 28 acute care hospitals were mandated to implement sepsis protocols and report patient-level data. This study sought to determine how well cases reported under state mandate align with discharge records in a statewide administrative database. DESIGN: Observational cohort study. SETTING: First 27 months of mandated sepsis reporting (April 1, 2014, to June 30, 2016). PATIENTS: Hospitalizations with sepsis at New York State Article 28 acute care hospitals. INTERVENTION: Sepsis regulations with mandated reporting. MEASUREMENTS AND MAIN RESULTS: We compared cases reported to the New York State Department of Health Sepsis Clinical Database with discharge records in the Statewide Planning and Research Cooperative System database. We classified discharges as 1) "coded sepsis discharges"-a diagnosis code for severe sepsis or septic shock and 2) "possible sepsis discharges," using Dombrovskiy and Angus criteria. Of 111,816 sepsis cases reported to the New York State Department of Health Sepsis Clinical Database, 105,722 (94.5%) were matched to discharge records in Statewide Planning and Research Cooperative System. The percentage of coded sepsis discharges reported increased from 67.5% in the first quarter to 81.3% in the final quarter of the study period (mean, 77.7%). Accounting for unmatched cases, as many as 82.7% of coded sepsis discharges were potentially reported, whereas at least 17.3% were unreported. Compared with unreported discharges, reported discharges had higher rates of acute organ dysfunction (e.g., cardiovascular dysfunction 63.0% vs 51.8%; p < 0.001) and higher in-hospital mortality (30.2% vs 26.1%; p < 0.001). Hospital characteristics (e.g., number of beds, teaching status, volume of sepsis cases) were similar between hospitals with a higher versus lower percent of discharges reported, p values greater than 0.05 for all. Hospitals' percent of discharges reported was not correlated with risk-adjusted mortality of their submitted cases (Pearson correlation coefficient 0.11; p = 0.17). CONCLUSIONS: Approximately four of five discharges with a diagnosis code of severe sepsis or septic shock in the Statewide Planning and Research Cooperative System data were reported in the New York State Department of Health Sepsis Clinical Database. Incomplete reporting appears to be driven more by underrecognition than attempts to game the system, with minimal bias to risk-adjusted hospital performance measurement.

Effect of Hurricane Sandy on Health Care Services Utilization Under Medicaid.

OBJECTIVE: This investigation assessed changes in utilization of inpatient, outpatient, emergency department, and pharmacy services in the aftermath of Hurricane Sandy in 8 counties in New York affected by the storm. METHODS: Medicaid data for enrollees residing in 8 counties in New York were used to obtain aggregated daily counts of claims for 4 service types over immediate, 3-month, and 1-year periods following the storm. Negative binomial regression was used to compare service utilization in the storm year with the 2 prior years, within areas differentially affected by the storm. RESULTS: Changes in service utilization within areas inside or outside the storm zone were most pronounced over the 1-year effect period. Differences in service utilization by year were the same by storm zone designation over the immediate effect period for all services. CONCLUSIONS: Results are consistent with previous investigations demonstrating that some of the greatest effects of a disaster on health services utilization occur well beyond the initial event. One-year effects, combined with some 3-month effects, suggests that storm recovery, with its effect on health care services utilization, may have followed different paths in areas designated as inside or outside the storm zone. (Disaster Med Public Health Preparedness. 2016;10:472-484).

Long-term outcome of human leukocyte antigen mismatching in liver transplantation: results of the National Institute of Diabetes and Digestive and Kidney Diseases Liver Transplantation Database.

UNLABELLED: A perfect or nearly perfect human leukocyte antigen (HLA) match has been associated with better immediate and long-term survival of diseased donor kidney transplants. However, the effect of HLA matching for hepatic allografts remains poorly defined. Using data from the National Institutes of Diabetes and Digestive and Kidney Diseases Liver Transplantation Database, we investigated the association between HLA mismatches and hepatic allograft survival, disease recurrence, and immunosuppression interactions. A, B, and DR loci were used to calculate total mismatch scores of 0 (no mismatches in any loci) to 6 (mismatches in all loci). Seven hundred ninety-nine adults (male, 55%; female, 45%) underwent 883 liver transplants. The 10-year graft survival according to total mismatch score was as follows: 0-2, 60%; 3-4, 54%; and 5-6, 57%. There was a negative effect of mismatching at the A locus on patient survival, with shorter survival for patients with 1 or 2 mismatches compared with 0 mismatches [P = 0.05, hazard ratio (HR) = 1.6]. Patients on tacrolimus with 1 or 2 mismatches at B or DR loci appeared to have increased rates of patient and graft survival compared to patients with 0 mismatches, with the appearance of a protective effect of tacrolimus (HR = 0.67). The effect of HLA mismatching was more pronounced on certain disease recurrences. DR-locus mismatch increased recurrence of autoimmune hepatitis (P = 0.01, HR = 4.2) and primary biliary cirrhosis (P = 0.04, HR = 2). Mismatch in the A locus was associated with more recurrence of hepatitis C virus (P = 0.01, HR = 1.6) and primary sclerosing cholangitis (P = 0.03, HR = 2.9). CONCLUSION: Mismatching at the A locus decreases patient survival in liver transplant recipients, and mismatching at the DR and A loci affects recurrence of autoimmune liver diseases and hepatitis C, respectively.