Insurance-Based Disparities in Outcomes and ECMO Utilization for Hospitalized COVID-19 Patients.

BACKGROUND: The objective of this study was to examine insurance-based disparities in mortality, non-home discharges, and ECMO utilization in patients hospitalized with COVID-19. METHODS: Using a national database of U.S. academic medical centers and their affiliated hospitals, the risk-adjusted association between mortality, non-home discharge, and ECMO utilization and (1) the type of insurance coverage (private insurance, Medicare, dual enrollment in Medicare and Medicaid, and no insurance) and (2) the weekly hospital COVID-19 burden (0-5.0%; 5.1-10%, 10.1-20%, 20.1-30%, 30.1%-) was evaluated. Modelling was expanded to include an interaction between payer status and the weekly hospital COVID-19 burden to examine whether the lack of private insurance was associated with increases in disparities as the COVID-19 burden increased. RESULTS: Among 760,846 patients hospitalized with COVID-19, 214,992 had private insurance, 318,624 had Medicare, 96,192 were dually enrolled in Medicare and Medicaid, 107,548 had Medicaid, and 23,560 had no insurance. Overall, 76,250 died, 211,702 had non-home discharges, 75,703 were mechanically ventilated, and 2,642 underwent ECMO. The adjusted odds of death were higher in patients with Medicare (aOR 1.28; [95% CI: 1.21, 1.35]; P<0.0005), dually enrolled (aOR, 1.39; [1.30, 1.50]; P<0.0005), Medicaid (aOR, 1.28; [1.20, 1.36]; P<0.0005), and no insurance (aOR, 1.43; [1.26, 1.62]; P<0.0005) compared to patients with private insurance. Patients with Medicare (aOR, 0.47; [CI: 0.39, 0.58]; P <0.0005), dually enrolled (aOR, 0.32; [0.24, 0.43]; P<0.0005), Medicaid (aOR, 0.70; [ 0.62, 0.79]; P<0.0005), and no insurance (aOR, 0.40; [0.29, 0.56]; P<0.001] were less likely to be placed on ECMO than patients with private insurance. Mortality, non-home discharges, and ECMO utilization did not change significantly more in patients with private insurance compared to patients without private insurance as the COVID-19 burden increased. CONCLUSION: Among patients with COVID-19, insurance-based disparities in mortality, non-home discharges, and ECMO utilization were substantial, but these disparities did not increase as the hospital COVID-19 burden increased.

Anesthetic Management and Considerations for Electrophysiology Procedures.

The number of electrophysiology (EP) procedures being performed has dramatically increased in recent years. This escalation necessitates a full understanding by the general anesthesiologist as to the risks, specific considerations, and comorbidities that accompany these now common procedures. Procedures reviewed in this article include atrial fibrillation and flutter ablation, supraventricular tachycardia ablation, ventricular tachycardia ablation, electrical cardioversion, pacemaker insertion, implantable cardioverter-defibrillator (ICD) insertion, and ICD lead extraction. General anesthetic considerations as well as procedure-specific concerns are discussed. Knowledge of these procedures will add to the anesthesiologist's armamentarium in safely caring for patients in the EP laboratory.

Association Between the COVID-19 Pandemic and Insurance-Based Disparities in Mortality After Major Surgery Among US Adults.

Importance: The COVID-19 pandemic caused significant disruptions in surgical care. Whether these disruptions disproportionately impacted economically disadvantaged individuals is unknown. Objective: To evaluate the association between the COVID-19 pandemic and mortality after major surgery among patients with Medicaid insurance or without insurance compared with patients with commercial insurance. Design, Setting, and Participants: This cross-sectional study used data from the Vizient Clinical Database for patients who underwent major surgery at hospitals in the US between January 1, 2018, and May 31, 2020. Exposures: The hospital proportion of patients with COVID-19 during the first wave of COVID-19 cases between March 1 and May 31, 2020, stratified as low (≤5.0%), medium (5.1%-10.0%), high (10.1%-25.0%), and very high (>25.0%). Main Outcomes and Measures: The main outcome was inpatient mortality. The association between mortality after surgery and payer status as a function of the proportion of hospitalized patients with COVID-19 was evaluated with a quasi-experimental triple-difference approach using logistic regression. Results: Among 2 950 147 adults undergoing inpatient surgery (1 550 752 female [52.6%]) at 677 hospitals, the primary payer was Medicare (1 427 791 [48.4%]), followed by commercial insurance (1 000 068 [33.9%]), Medicaid (321 600 [10.9%]), other payer (140 959 [4.8%]), and no insurance (59 729 [2.0%]). Mortality rates increased more for patients undergoing surgery during the first wave of the pandemic in hospitals with a high COVID-19 burden (adjusted odds ratio [AOR], 1.13; 95% CI, 1.03-1.24; P = .01) and a very high COVID-19 burden (AOR, 1.38; 95% CI, 1.24-1.53; P < .001) compared with patients in hospitals with a low COVID-19 burden. Overall, patients with Medicaid had 29% higher odds of death (AOR, 1.29; 95% CI, 1.22-1.36; P < .001) and patients without insurance had 75% higher odds of death (AOR, 1.75; 95% CI, 1.55-1.98; P < .001) compared with patients with commercial insurance. However, mortality rates for surgical patients with Medicaid insurance (AOR, 1.03; 95% CI, 0.82-1.30; P = .79) or without insurance (AOR, 0.85; 95% CI, 0.47-1.54; P = .60) did not increase more than for patients with commercial insurance in hospitals with a high COVID-19 burden compared with hospitals with a low COVID-19 burden. These findings were similar in hospitals with very high COVID-19 burdens. Conclusions and Relevance: In this cross-sectional study, the first wave of the COVID-19 pandemic was associated with a higher risk of mortality after surgery in hospitals with more than 25.0% of patients with COVID-19. However, the pandemic was not associated with greater increases in mortality among patients with no insurance or patients with Medicaid compared with patients with commercial insurance in hospitals with a very high COVID-19 burden.

Comparison of Sex-Based Differences in Home or Nonhome Discharge Utilization of Rehabilitative Services and Outcomes Following Transcatheter Aortic Valve Implantation in the United States.

Sex-based differences in outcomes have been shown to affect caregiving in medical disciplines. Increased spending due to postacute care transfer policies has led hospitals to further scrutinize patient outcomes and disposition patterns after inpatient admissions. We examined sex-based differences in rehabilitative service utilization after transcatheter aortic valve implantation (TAVI). We queried all TAVI discharges in the National Inpatient Sample database from 2012 to 2014 (n = 40,900). Thirteen thousand eight hundred fifteen patients were discharged to home and 12,175 patients were discharged to rehabilitation facility; those not discharged routinely or to a rehabilitation facility were excluded. Patients with nonhome discharges were older (83.3 vs 79.0 years) and female (58.3% vs 37.7%) with a greater number of chronic conditions (9.91 vs 9.03) and number of Elixhauser co-morbidities (6.5 vs 5.8, all p < 0.05). Nonhome discharge patients also had a significantly longer length of stay (LOS) (11.3 days vs 5.3 days) and higher hospitalization costs ($66,246 vs $48,710, all p < 0.001) compared to home-discharged patients. Overall in-hospital mortality for female patients who underwent TAVI was higher compared to males (4.6% vs 3.6%, p < 0.05). On multivariable logistic regression, female sex was an independent predictor for disposition to rehabilitation facilities after TAVI (odds ratio 2.17; 95% confidence interval: 1.88 to 2.50; p < 0.001). Other independent predictors for females discharged to rehabilitation included the presence of rheumatoid arthritis and collagen vascular disease, body mass index greater than 30 kg/m2, depression, and sum of Elixhauser co-morbidities (all p < 0.001). In conclusion, nonhome discharge TAVI patients added LOS and hospital costs compared to home discharge TAVI patients, and female sex was one of the major predictors despite the lower co-morbidities.

Vancomycin Paste Does Not Reduce the Incidence of Deep Sternal Wound Infection After Cardiac Operations.

BACKGROUND: Deep sternal wound infection (DSWI) is a devastating complication that increases morbidity and death in cardiac surgical patients. Vancomycin is often administered intravenously for antibiotic prophylaxis in cardiac operations. Many cardiac surgeons also apply vancomycin paste topically to the sternal edges. We examined the effect of vancomycin paste on the incidence of DSWI in patients undergoing elective cardiac operations. METHODS: We retrospectively reviewed the medical records of all patients from 2003 to 2015 who underwent coronary artery bypass grafting, valve, or combined coronary artery bypass grafting and valve operations at a single institution. We derived The Society for Thoracic Surgeons (STS) DSWI risk index for each patient and systematically reviewed operative, pharmacy, microbiology, and discharge records to document DSWI in these patients. Multivariate analyses were used to identify predictors of DSWI in this cohort and to quantify the effect of vancomycin paste. RESULTS: Of the 14,492 patients whose records we examined, DSWI developed in 136 patients, resulting in an overall incidence of 0.9%. After multivariate analysis, body mass index, New York Heart Association Functional Classification, and the STS DSWI risk index remained statistically significant and associated with DSWI. Although the incidence of DSWI decreased over time, the use of vancomycin paste was not associated with a reduced incidence of DSWI. CONCLUSIONS: There was a marked decrease in the incidence of DSWI during the study period, concurrent with institutional implementation of revised STS antibiotic dosing guidelines in 2007 and other strategies. However, the application of vancomycin paste to the sternal edges of patients undergoing cardiac operations was not associated with a reduced risk of DSWI.