Relative importance of individual insurance status and hospital payer mix on survival for women with cervical cancer.

OBJECTIVE: To assess the relative contributions of individual insurance status and hospital payer mix (safety net status) to quality of care and survival for patients with cervical cancer. METHODS: We used the National Cancer Database to identify patients with cervical cancer diagnosed from 2004 to 2017. Patients were classified by insurance (uninsured/Medicaid/private/Medicare/other) and hospitals were grouped into quartiles based on the proportion of uninsured/Medicaid patients (payer mix) (top quartile defined as safety-net hospital (SNHs) and lowest as Q1 hospitals). Quality-of-care was assessed by adherence to evidence-based metrics. Individual contributions of insurance status and payer mix to survival was assessed with a proportional hazards Cox model. RESULTS: A total of 124,339 patients including 11,338 uninsured (9.1%) and 27,281 Medicaid (21.9%) recipients treated at 1156 hospitals were identified. Quality-of-care was not significantly different across hospital quartiles. Adjusting for patients' clinical/demographic characteristics, treatment at a SNH was associated with a 14% higher mortality (HR = 1.14; 95% CL, 1.08-1.20) than at Q1 hospitals. Testing for individual insurance, uninsured patients had 32% increased mortality (HR = 1.32; 95% CI,1.26-1.38) and Medicaid recipients 40% increased (HR = 1.40; 95%CI,1.35-1.44) compared to privately insured patients. Examining both payer mix and insurance, only individual insurance retained a significant impact on mortality. CONCLUSIONS: Individual insurance may be a more important predictor of survival than site-of-care and hospital payer mix for women with cervical cancer. There is substantial variation in outcomes within hospitals based on individual insurance, regardless of hospital payer mix.

Relation of mitral valve prolapse to basal left ventricular hypertrophy as determined by cardiac magnetic resonance imaging.

We aimed to characterize the extent and distribution of focal basal left ventricular (LV) hypertrophy in patients with mitral valve prolapse (MVP). Sixty-three patients (mean age: 58 ± 14 years) with MVP and 20 age-matched normal volunteers (mean age: 53 ± 11 years) were assessed using cardiac magnetic resonance imaging. We compared the ratio of basal to mid end-diastolic wall thickness in both groups and correlated it with clinical and imaging parameters. Of the 63 patients, 44 (70%) had posterior leaflet prolapse, 2 (3%) had anterior leaflet prolapse, and 17 (27%) had bileaflet prolapse. There was a significantly increased ratio of basal to mid-ventricular end-diastolic wall thickness in all segments of the left ventricle in those with MVP compared to the controls. The inferolateral (2.1 vs 1.0, p <0.01) and anterolateral (2.1 vs 1.1) ratios (p <0.01) were the greatest compared to the other myocardial segments. The degree of mitral annular excursion had a strong positive correlation with the degree of hypertrophy (r(2) = 0.81, p <0.01) and was an independent predictor in adjusted multivariate analysis (p <0.0001). Age, body mass index, LV end-diastolic volume index, LV end -systolic volume index, LV stroke volume index, degree of prolapse, and mitral regurgitation volume did not have any significant correlation with the degree of hypertrophy. In conclusion, MVP is associated with concentric basal LV hypertrophy and good correlation between the excursion of the mitral valve annulus and the degree of relative LV hypertrophy suggests that locally increased myocardial function could be responsible for this remodeling.