Obesity as a mortality risk factor in the medical ward: a case control study

Background Research regarding the association between severe obesity and in-hospital mortality is inconsistent. We evaluated the impact of body mass index (BMI) levels on mortality in the medical wards. The analysis was performed separately before and during the COVID-19 pandemic. Methods We retrospectively retrieved data of adult patients admitted to the medical wards at the Mount Sinai Health System in New York City. The study was conducted between January 1, 2011, to March 23, 2021. Patients were divided into two sub-cohorts: pre-COVID-19 and during-COVID-19. Patients were then clustered into groups based on BMI ranges. A multivariate logistic regression analysis compared the mortality rate among the BMI groups, before and during the pandemic. Results Overall, 179,288 patients were admitted to the medical wards and had a recorded BMI measurement. 149,098 were admitted before the COVID-19 pandemic and 30,190 during the pandemic. Pre-pandemic, multivariate analysis showed a “J curve” between BMI and mortality. Severe obesity (BMI > 40) had an aOR of 0.8 (95% CI:0.7–1.0, p = 0.018) compared to the normal BMI group. In contrast, during the pandemic, the analysis showed a “U curve” between BMI and mortality. Severe obesity had an aOR of 1.7 (95% CI:1.3–2.4, p < 0.001) compared to the normal BMI group. Conclusions Medical ward patients with severe obesity have a lower risk for mortality compared to patients with normal BMI. However, this does not apply during COVID-19, where obesity was a leading risk factor for mortality in the medical wards. It is important for the internal medicine physician to understand the intricacies of the association between obesity and medical ward mortality.

The Long “Race” to Diversity in Otolaryngology

The number of health disparities disproportionately affecting minority communities continue to rise. Thus, it is imperative to assess whether equity within medical school enrollment and along the academic pipeline has mirrored this growth, especially among elite surgical specialties such as otolaryngology. Census and educational data from 2010 and 2018 were used to assess the current otolaryngology, surgery, and internal medicine physician and faculty workforce diversity across each stage of the academic medicine trajectory by race and ethnicity. We found that disparities exist in medical school enrollment for minority students such that Hispanic/Latinx representation was only 30% and Black representation only 50% of their respective proportions in the US population in 2018. Disparities in achieving full professorship were also observed across all 3 specialties but most prominently in otolaryngology, with 1% Black representation among otolaryngology professors in 2018. A collective strategy toward diversifying the otolaryngology workforce should be explored.

Evaluation of Influenza Intervention Strategies in Turkey with Fuzzy AHP-VIKOR

In this study, a fuzzy AHP-VIKOR method is presented to help decision makers (DMs), especially physicians, evaluate and rank intervention strategies for influenza. Selecting the best intervention strategy is a sophisticated multiple criteria decision-making (MCDM) problem with potentially competing criteria. Two fuzzy MCDM methods, fuzzy analytic hierarchy process (F-AHP) and fuzzy VIsekriterijumska optimizacija i KOmpromisno Resenje (F-VIKOR), are integrated to evaluate and rank influenza intervention strategies. In fuzzy AHP-VIKOR, F-AHP is used to determine the fuzzy criteria weights and F-VIKOR is implemented to rank the strategies with respect to the presented criteria. A case study is given where a professor of infectious diseases and clinical microbiology, an internal medicine physician, an ENT physician, a family physician, and a cardiologist in Turkey act as DMs in the process.

Perrault Syndrome Diagnosis in a Patient Presenting to Her Primary Care Provider with Secondary Amenorrhea

Perrault syndrome is a rare autosomal recessive genetic disorder characterized by sensorineural hearing loss and female gonadic eukaryotic dysgenesis. Here, we report the case of a 20-year-old female that presented to her internal medicine physician after suffering from secondary amenorrhea. After multiple negative pregnancy tests done with primary care physicians, a further evaluation by an internal medicine specialist showed an elevated FSH and LH as well as a small uterus and streak ovaries on transabdominal and transvaginal ultrasound. She was referred to the OB-GYN service, gonadal dysgenesis was diagnosed, and proper treatment was initiated. We intend to highlight this presentation of ovarian dysfunction and provide guidance for the proper diagnosis and management of the said disorder.