BackgroundIn this study, we explored the interaction between women's race/ethnicity and insurance type and determined how these interactions affect the incidences of cesarean section (CS) among women with gestational diabetes mellitus (GDM). MethodologyWe utilized the National Inpatient Sample (NIS) database from January 2000 to September 2015 to conduct a retrospective analysis of all GDM-associated hospitalizations. We then explored the interaction between race/ethnicity and insurance types and determined how these interactions affect the incidences of CS among GDM patients, controlling for traditional risk factors for CS and patients' sociodemographics. Subsequently, we determined the risk of primary postpartum hemorrhage (PPH) in the CS group and a propensity scorematched control group who had vaginal deliveries. ResultsThere were 932,431 deliveries diagnosed with GDM in the NIS database from January 2000 to September 2015. The mean age of the study population was 30.6 ± 5.9 years, 44.5% were white, 14.0% were black, and 26.7% were Hispanic. The CS rate was 40.5%. After controlling for covariates, women who utilized private insurance had the highest CS rate across the different races/ethnicities; white (odds ratio (OR) = 1.21 (1.17-1.25)) blacks )), and Hispanic (OR = 1.12 (1.06-1.18)). CS patients were less likely to develop PPH compared to their matched controls with vaginal deliveries (OR = 0.67 (0.63-0.71)). ConclusionsPrivate insurance is associated with higher incidences of CS among women with GDM, irrespective of race/ethnicity.
IntroductionWhile mortality following primary cervical cancers (PCCs) continues to decline due to advancements in screening and treatment, a small subset of women who developed PCCs will develop second malignancies after their initial diagnosis. Little is known about these women. ObjectiveThis study aims to determine the common second malignancies among patients with primary cervical cancers and the factors associated with improved overall survival. MethodologyWe conducted a retrospective analysis of all PCCs in the SEER database between 1975 and 2016. We identified a subset of patients who subsequently developed secondary malignancies after a primary cervical cancer diagnosis. We then determined the factors associated with a prolonged latency interval, defined as the time between the PCC diagnosis and a subsequent secondary malignancy diagnosis. In a sub-analysis, we also determined the commonest secondary malignancies following a PCC diagnosis. ResultsA total of 1,494 patients with cervical cancers developed a second malignancy during the study period. The mean age at diagnosis of the PCCs was 56.0 ± 14.0 years. The mean latency interval between PCC and a subsequent secondary malignancy was 9.6 ± 9.3 years. Cytoreductive surgery (odds ratio (OR) = 1.40; 95% confidence interval (CI) = 1.05-1.86) and radiotherapy (OR = 1.52; 95% CI = 1.14-2.03) during the PCC are associated with a prolonged latency interval.Patients who received chemotherapy (OR = 0.23; 95% CI = 0.16-0.33) or those of Hispanic ethnicity (OR = 0.63; 95% CI = 0.44-0.90) were more likely to develop second malignancies within 10 years after a PCC diagnosis. The most common second malignancies were abdominal malignancies with rectal cancers (12.2%), pancreatic cancers (10.1%), stomach cancers (9.2%), cecum cancers (8.4%), and sigmoid colon cancers (8.3%). ConclusionThere is a significant association between Hispanic ethnicity and a shorter latency interval among patients with PCC. The findings from this study may help optimize screening for secondary cancers among cervical cancer survivors.
Human immunodeficiency virus (HIV) infection is a significant health concern in the United States, affecting 38 million Americans. Despite a recent decline in prevalence, social determinants of health remain an important factor driving infections, particularly among minority populations. However, the relationship between community-level economic deprivation indices and HIV infection among hospital admissions has been understudied in the literature. ObjectivesThis study investigated the association between community-level economic deprivation, measured by the Distressed Community Index (DCI), and HIV infection among hospital admissions in Washington, District of Columbia (DC). MethodsWe utilized data from the State Inpatient Database (SID) for Washington, DC, between 2016 and 2019, identifying all admissions with a history of HIV. The multivariate analysis determined the association between DCI quintiles and HIV infection among hospital admissions. Also included in the multivariate analysis were patients' age, sex, race/ethnicity, insurance type, smoking status, obesity, sexually transmitted infections (STIs), hepatitis B infections, and mental health conditions.
Background The Society of Surgical Oncology collaborates with the National Resident Matching Program (NRMP) to facilitate the Complex General Surgical Oncology (CGSO) Match. Objective The purpose of this study was to understand trends in CGSO Match outcomes. We hypothesized that (1) match rates would increase with time; (2) US allopathic graduates would have higher match rates than non-US allopathic graduates; and (3) most applicants would match at one of their top three ranked choices. Methods The NRMP provided applicant and program data from the CGSO Match (2014–2021). Chi-square tests elucidated temporal trends and match rates by applicant archetype. Results The annual number of applicants decreased from 103 to 90 (13% decrease), while the annual number of fellowship positions increased from 56 to 67 (20% increase) from 2014–2021. The annual percentage of applicants who did not match decreased from 46% to 26% ( p < 0.05). Annual match rates increased from 54% to 74% ( p < 0.05). US allopathic graduates had higher match rates than non-US allopathic graduates but this disparity narrowed over time (84% vs. 55% in 2021; p < 0.001). Approximately half of all applicants matched at one of their top three choices (first, 29%; second, 12%; third, 8%). Applicants matching at one of their top three choices increased from 36% to 50% ( p < 0.05). Conclusions CGSO Match rates have increased over the past decade, thus primarily benefiting non-US allopathic graduates. Most applicants match at one of their top three choices. More research is needed to understand disparities in match rates by applicant and residency program characteristics.
Introduction Although disparities in cancer survival exist across different races/ethnicity, the underlying factors are not fully understood. Aim To identify the interaction between race/ethnicity and insurance type and how this influences survival among non-Hodgkins lymphoma (NHL) patients. Methods We utilized the SEER (Surveillance, Epidemiology, and End Results) Registry to identify patients with a primary diagnosis of NHL from 2007 to 2015. Our primary outcome of interest was the hazard of death following a diagnosis of NHL. In addition, we utilized the Cox regression model to explore the interaction between race and insurance type and how this influences survival among NHL patients. Results There were 44,609 patients with NHL who fulfilled the study criteria. The mean age at diagnosis was 50.9 ± 10.8 years, with a mean survival of 49.8± 34.5 months. Among these patients, 64.8% were non-Hispanic Whites, 16% were Hispanics, and 10.8% were Blacks. In addition, 76.5% of the study population had private insurance, 16.6% had public insurance, and 6.9% were uninsured. Blacks had the worst survival (HR=1.66; 95% = 1.55-1.78). Patients on private insurance had better survival compared to those with public insurance (HR=2.11; 95% CI=2.00-2.24) Conclusion The racial and socioeconomic disparity in survival outcomes among patients with NHL persisted despite controlling for treatment modalities, age, and disease stage.
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