Gender disparities in multiple myeloma publications.

Gender disparities exist in academia and are disproportionately affecting females. We conducted a cross-sectional study to analyze gender disparities in multiple myeloma (MM) publications. A total of 679 publications with 8898 authorships were analyzed. The mean number of authors for females vs. males, per publication, was 4.4 and 8.7, respectively. Females constituted a third of the total authors. Female first authors, corresponding authors, and last/senior authors were 34%, 21%, and 18%, respectively. Note that, 17% of authors of clinical trial publications were females. Gender disparities in MM publications exist and are more obvious in the last/corresponding authorship. Efforts should be made to identify factors that contribute to these disparities and work to resolve them.

Cardiometabolic Comorbidity Risk in Pediatric Patients With Psychiatric Illnesses: A Case-Control Inpatient Study.

Objectives To delineate the differences in the cardiometabolic comorbidities in pediatric patients with medical versus psychiatric illnesses and to determine the risk of association between the spectrum of cardiometabolic comorbidities in pediatric patients with a broad range of psychiatric illnesses. Methods We conducted a case-control study using the nationwide inpatient sample (NIS), the largest hospital database in the United States (US) and included 179,550 pediatric patients (age 10-18 years) that were hospitalized with a primary diagnosis of psychiatric illness (N = 89,775) and pediatric patients that were hospitalized with a primary diagnosis of medical illness (N = 89,775). We used descriptive statistics and Pearson's chi-square test to delineate the differences between pediatric inpatients with medical versus psychiatric illnesses. Results The majority of pediatric patients with psychiatric illnesses were females (58%) and white (62%), with a mean age of 15 years. Cardiometabolic comorbidities were higher in patients admitted for psychiatric illness, with a higher prevalence of hypothyroidism (1.6%) and obesity (7.1%) than in those hospitalized for medical illnesses. Among all cardiometabolic comorbidities, obesity had the highest prevalence across all psychiatric illnesses, measuring eight percent in patients with disruptive behavior disorders, followed by seven percent each in anxiety, mood, and psychotic disorders. Diabetes had the lowest prevalence hovering between one and two percent for a spectrum of psychiatric illnesses. Conclusion The prevalence of cardiometabolic comorbidities is higher in pediatric inpatients with psychiatric illnesses. This calls for timely monitoring of the routine labs and early diagnosis and management of the cardiometabolic comorbidities in this at-risk population.

Risk Factor Analysis of Venous Thromboembolism in Cancer: A National Inpatient Sample Study.

Objective In this study, we aimed to explore the association of demographic characteristics and comorbidities with the risk of venous thromboembolism (VTE) in cancer inpatients, as well as to delineate the mortality risk in cancer inpatients with VTE. Methods We conducted a retrospective cohort analysis based on the National Inpatient Sample (NIS) 2012-2014, involving 339,395 inpatients with a primary diagnosis of cancer subdivided into cohorts without VTE (n=331,695) and with VTE (n=7,700). We used a binomial logistic regression model to evaluate the odds ratio (OR) of demographics, comorbidities, and in-hospital mortality rate with respect to cancer inpatients with VTE. Results A higher proportion of cancer inpatients with VTE were 36-50 years in age (83.1%), male (50%), and of black (19.3%) and Hispanic ethnicity (17.2%) compared to the non-VTE cohort. The prevalence of comorbidities was higher in the VTE cohort, including HIV/AIDS, congestive heart failure (CHF), chronic pulmonary disease, diabetes, hypertension, and obesity. CHF demonstrated the highest risk of association with VTE (OR: 2.68, 95% CI: 2.30-3.12), followed by hypertension (OR: 1.23, 95% CI: 1.16-1.29), diabetes (OR: 1.16, 95% CI: 1.07-1.26), and chronic pulmonary disease (OR: 1.13, 95% CI: 1.05-1.22). Conversely, valvular diseases, obesity, and drug abuse were not significantly associated with VTE in cancer inpatients. The in-hospital mortality rate was higher in cancer inpatients with VTE (12% vs. 2.1%), thereby increasing the in-hospital mortality risk (OR: 3.87, 95% CI: 3.58-4.18). Conclusion VTE risk was significantly higher in cancer patients with comorbid CHF, hypertension, diabetes, and chronic pulmonary disease. The risk of all-cause in-hospital mortality was increased by four times in cancer inpatients with VTE.

Does Red Cell Distribution Width Predict Hip Fracture Mortality Among the Arab Population? A Single-Center Retrospective Cohort Study.

BACKGROUND: Hip fractures impose significant morbidity and mortality. Red cell distribution width (RDW) appears to be an emerging tool in predicting mortality following hip fractures. Several factors can influence the RDW value including genetic factors and ethnicity. The purpose of the study was to assess the relation between RDW level at admission and hip fracture mortality within 6 months among Arab/Middle East populations. METHODS: We conducted a single-center retrospective cohort study including 549 patients (274 female and 275 male) diagnosed with a hip fracture undergoing surgery from February 2016 to December 2019. All included patients shared the same country of origin which is Arab Middle East country. Statistical analysis, including binary regression, was performed to assess the relationship between RDW and mortality within 6 months of admission. Other predictors of mortality following hip fracture surgery were also assessed. RESULTS: The mean age was 76.42 (±9.19) years. Seventy (12.8%) of participants died within 6 months. No statistically significant association (P=0.053) between RDW level at admission and mortality within 6 months of surgery was found. Binary regression demonstrated that the only independent predictors of mortality were age (P= 0.003, odds ratio 1.048 with 95% CI 1.016 to 1.080) and male gender (P= 0.021, odds ratio 1.872 with 95% CI 1.100 to 3.185). CONCLUSION: Although the previous studies reported that RDW is one of the predictors of mortality in hip fracture patients, our study found no relation in the Arab population. This finding may confirm the influence of genetic factors and ethnicity on RDW value. We recommend further large-scale multicenter studies to solidly establish the relationship between RDW and hip fracture mortality among the Arab/Middle East population.