Obstructive sleep apnea and COVID-19 clinical outcomes during hospitalization: a cohort study.

STUDY OBJECTIVES: Obstructive sleep apnea (OSA) is an extremely common sleep disorder. A potential association between OSA and coronavirus disease 2019 (COVID-19) severity has been proposed on the basis of similar comorbid medical conditions associated with both OSA and COVID-19. METHODS: We performed a retrospective review of 1,738 patients who were hospitalized with COVID-19 between March and October of 2020. Patients were classified based on the presence or absence of OSA diagnosis based upon the International Classification of Diseases (ICD; codes G47.33 and U07.1 for OSA and COVID-19, respectively). Other data were collected, including demographics, body mass index, and comorbid conditions. COVID-19 severity was compared between groups using the quick COVID-19 severity index. RESULTS: Quick COVID-19 severity index scores were higher in patients with OSA compared with those without OSA. However, the prevalence rates of type 2 diabetes (P < .0001), coronary artery disease (P < .0001), congestive heart failure (P < .0001), and chronic obstructive pulmonary diseases (P < .0001) were also significantly greater in the OSA group. Unadjusted models revealed higher risk of intensive care unit admission in patients with COVID-19 and OSA. However, such an association was attenuated and became nonsignificant after adjusting for age, sex, body mass index, and comorbid disease. CONCLUSIONS: In our study, OSA does not appear to be an independent risk factor for worse COVID-19 outcomes in hospitalized patients. Further studies with larger sample sizes are needed to delineate the potential role of OSA in determining outcomes in hospitalized patients with COVID-19. CITATION: Mashaqi S, Lee-Iannotti J, Rangan P, et al. Obstructive sleep apnea and COVID-19 clinical outcomes during hospitalization: a cohort study. J Clin Sleep Med. 2021;17(11):2197-2204.

Preoperative prediction of type 2 diabetes remission after Roux-en-Y gastric bypass surgery: a retrospective cohort study.

BACKGROUND: About 60% of patients with type 2 diabetes achieve remission after Roux-en-Y gastric bypass (RYGB) surgery. No accurate method is available to preoperatively predict the probability of remission. Our goal was to develop a way to predict probability of diabetes remission after RYGB surgery on the basis of preoperative clinical criteria. METHODS: In a retrospective cohort study, we identified individuals with type 2 diabetes for whom electronic medical records were available from a primary cohort of 2300 patients who underwent RYGB surgery at the Geisinger Health System (Danville, PA, USA) between Jan 1, 2004, and Feb 15, 2011. Partial and complete remission were defined according to the American Diabetes Association criteria. We examined 259 clinical variables for our algorithm and used multiple logistic regression models to identify independent predictors of early remission (beginning within first 2 months after surgery and lasting at least 12 months) or late remission (beginning more than 2 months after surgery and lasting at least 12 months). We assessed a final Cox regression model with a consistent subset of variables that predicted remission, and used the resulting hazard ratios (HRs) to guide creation of a weighting system to produce a score (DiaRem) to predict probability of diabetes remission within 5 years. We assessed the validity of the DiaRem score with data from two additional cohorts. FINDINGS: Electronic medical records were available for 690 patients in the primary cohort, of whom 463 (63%) had achieved partial or complete remission. Four preoperative clinical variables were included in the final Cox regression model: insulin use, age, HbA1c concentration, and type of antidiabetic drugs. We developed a DiaRem score that ranges from 0 to 22, with the greatest weight given to insulin use before surgery (adding ten to the score; HR 5·90, 95% CI 4·41­7·90; p<0·0001). Kaplan-Meier analysis showed that 88% (95% CI 83­92%) of patients who scored 0­2, 64% (58­71%) of those who scored 3­7, 23% (13­33%) of those who scored 8­12, 11% (6­16%) of those who scored 13­17, and 2% (0­5%) of those who scored 18­22 achieved early remission (partial or complete). As in the primary cohort, the proportion of patients achieving remission in the replication cohorts was highest for the lowest scores, and lowest for the highest scores. INTERPRETATION: The DiaRem score is a novel preoperative method to predict the probability of remission of type 2 diabetes after RYGB surgery. FUNDING: Geisinger Health System and the US National Institutes of Health.