Trends in Demographic and Geographic Disparities in Stroke Mortality Among Older Adults in the United States.

BACKGROUND: Stroke is a leading cause of morbidity and mortality in the United States among older adults. However, the impact of demographic and geographic risk factors remains ambiguous. A clear understanding of these associations and updated trends in stroke mortality can influence health policies and interventions. METHODS: This study characterizes stroke mortality among older adults (age ≥55) in the US from January 1999 to December 2020, sourcing data from the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research. Segmented regression was used to analyze trends in crude mortality rate and age-adjusted mortality rate (AAMR) per 100,000 individuals stratified by stroke subcategory, sex, ethnicity, urbanization, and state. RESULTS: A total of 3,691,305 stroke deaths occurred in older adults in the US between 1999 and 2020 (AAMR = 233.3), with an overall decrease in AAMR during these years. The highest mortality rates were seen in nonspecified stroke (AAMR = 173.5), those 85 or older (crude mortality rate1276.7), men (AAMR = 239.2), non-Hispanic African American adults (AAMR = 319.0), and noncore populations (AAMR = 276.1). Stroke mortality decreased in all states from 1999 to 2019 with the greatest and least decreases seen in California (-61.9%) and Mississippi (-35.0%), respectively. The coronavirus pandemic pandemic saw increased stroke deaths in most groups. CONCLUSIONS: While there's a decline in stroke-related deaths among US older adults, outcome disparities remain across demographic and geographic sectors. The surge in stroke deaths during coronavirus pandemic reaffirms the need for policies that address these disparities.

Health Care Costs Following Anterior Cervical Discectomy and Fusion or Cervical Disc Arthroplasty.

STUDY DESIGN: Observational cohort study. OBJECTIVE: To describe the postoperative costs associated with both anterior cervical discectomy and fusion (ACDF) and cervical disc arthroplasty (CDA) in the two-year period following surgery. SUMMARY OF BACKGROUND DATA: CDA has become an increasingly common alternative to ACDF for the treatment of cervical disc disorders. Although a number of studies have compared clinical outcomes between both procedures, much less is known about the postoperative economic burden of each procedure. MATERIALS AND METHODS: By analyzing a commercial insurance claims database (Marketscan, Merative), patients who underwent one-level or two-level ACDF and CDA procedures between January 1, 2017 and December 31, 2017 were identified and included in the study. The primary outcome was the cost of payments for postoperative management in the two-year period following ACDF or CDA. Identified postoperative interventions included in the study were: (i) physical therapy, (ii) pain medication, (iii) injections, (iv) psychological treatment, and (iv) subsequent spine surgeries. RESULTS: Totally, 2304 patients (age: 49.0±9.4 yr; male, 50.1%) were included in the study. In all, 1723 (74.8%) patients underwent ACDF, while 581 (25.2%) underwent CDA. The cost of surgery was similar between both groups (ACDF: $26,819±23,449; CDA: $25,954±20,620; P =0.429). Thirty-day, 90-day, and two-year global costs were all lower for patients who underwent CDA compared with ACDF ($31,024 vs. $34,411, $33,064 vs. $37,517, and $55,723 vs. $68,113, respectively). CONCLUSION: Lower two-year health care costs were found for patients undergoing CDA compared with ACDF. Further work is necessary to determine the drivers of these findings and the associated longer-term outcomes.

Public health insurance, frailty, and lack of home support predict rehab discharge following elective anterior cervical discectomy and fusion.

BACKGROUND CONTEXT: Anterior cervical discectomy and fusion (ACDF) is a commonly-performed and generally well-tolerated procedure used to treat cervical disc herniation. Rarely, patients require discharge to inpatient rehab, leading to inconvenience for the patient and increased healthcare expenditure for the medical system. PURPOSE: The objective of this study was to create an accurate and practical predictive model for, as well as delineate associated factors with, rehab discharge following elective ACDF. STUDY DESIGN: This was a retrospective, single-center, cohort study. PATIENT SAMPLE: Patients who underwent ACDF between 2012 and 2022 were included. Those with confounding diagnoses or who underwent concurrent, staged, or nonelective procedures were excluded. OUTCOME MEASURES: Primary outcomes for this study included measurements of accuracy for predicting rehab discharge. Secondary outcomes included associations of variables with rehab discharge. METHODS: Current Procedural Terminology codes identified patients. Charts were reviewed to obtain additional demographic and clinical characteristics on which an initial univariate analysis was performed. Two logistic regression and two machine learning models were trained and evaluated on the data using cross-validation. A multimodel logistic regression was implemented to analyze independent variable associations with rehab discharge. RESULTS: A total of 466 patients were included in the study. The logistic regression model with minimum corrected Akaike information criterion score performed best overall, with the highest values for area under the receiver operating characteristic curve (0.83), Youden's J statistic (0.71), balanced accuracy (85.7%), sensitivity (90.3%), and positive predictive value (38.5%). Rehab discharge was associated with a modified frailty index of 2 (p=.007), lack of home support (p=.002), and having Medicare or Medicaid insurance (p=.007) after correction for multiple hypotheses. CONCLUSIONS: Nonmedical social determinants of health, such as having public insurance or a lack of support at home, may play a role in rehab discharge following elective ACDF. In combination with the modified frailty index and other variables, these factors can be used to predict rehab discharge with high accuracy, improving the patient experience and reducing healthcare costs.

Resource use trends in extracorporeal membrane oxygenation in adults: an analysis of the Nationwide Inpatient Sample 1998-2009.

OBJECTIVE: The study objective was to determine whether significant trends over time have occurred in resource use associated with the use of extracorporeal membrane oxygenation in critically ill adults. METHODS: All adult admissions involving extracorporeal membrane oxygenation were examined by using the Nationwide Inpatient Sample database (years 1998-2009). Trends in volume, outcome, and resource use (including hospital charges, length of stay, and charges per day) were analyzed. RESULTS: An estimated total of 8753 admissions involved extracorporeal membrane oxygenation over the study period. Overall length of stay was 18.3 ± 1.3 days. Total hospital charges averaged $344,009 ± $30,707 per admission, with average charges per day of $40,588 ± $3099. Cumulative national charges for extracorporeal membrane oxygenation admissions increased significantly from $109.0 million in 1998 to $764.7 million in 2009 (P = .0016). Charges per patient and length of stay also increased significantly (P = .0032 and .0321, respectively). The increasing trend in the number of extracorporeal membrane oxygenation admissions during the study period was not statistically significant (P = .19). The post-cardiotomy group had more favorable outcomes and lower resource use. A shift was observed in the relative case-mix of extracorporeal membrane oxygenation admissions over the study period, with a relative decrease in the post-cardiotomy group and increases in the cardiogenic shock, respiratory failure, and lung transplant groups. CONCLUSIONS: These results suggest that dramatic increases in resource use associated with extracorporeal membrane oxygenation are not solely the result of increased volume, but in part are due to a shift toward extracorporeal membrane oxygenation use in patient groups (other than in the post-cardiotomy setting) with greater resource use and worse outcomes.