METS-IR is a novel score to evaluate cardiometabolic risk in healthy and at-risk subjects and a promising tool for screening of insulin sensitivity.

Summary Objective To evaluate the quality of life (QoL) in patients with pituitary adenomas in comparison with healthy Mexican population QoL scores. Design & Measurements Cross‐sectional study using the short form 36 questionnaire (SF‐36) in 175 patients with pituitary adenomas grouped by adenoma subtype and disease activity, and compared them with the healthy Mexican population normative QoL scores. Patients A total of 44 patients with non‐functioning pituitary adenomas (NFPA), 48 with acromegaly, 53 with prolactinomas and 30 with Cushing disease (CD) were enrolled in this study. Results Mental and physical components scores (MCS & PCS) of SF‐36 questionnaire were lower in patients with active disease in all adenoma subtypes (P < 0.03). A significant negative relationship between prolactin levels and MCS (r = −0.30, P < 0.01) and PCS (r = −0.41, P < 0.01) were found in prolactinomas. Patients with CD showed 24 hours urine‐free cortisol levels negatively correlated with MCS (r = −0.43, P < 0.01) but not with PCS. No significant correlation was found between IGF‐1 ULN and QoL scores in acromegaly. NFPA patients had lower QoL scores than patients with controlled CD, acromegaly or prolactinoma (P < 0.02). Active CD and prolactinoma have lower QoL scores in comparison of NFPA (P < 0.05). Having an adenoma, secretory or non‐functioning, decrease QoL scores in comparison of results in the healthy Mexican population register. Using an adjusted‐multivariate model, we confirmed that disease activity in all secretory adenomas is an independent risk factor, reducing SF‐36 scores significantly. Conclusion Activity in all secretory pituitary adenomas’ patients decrease mental and physical QoL. However, independently of disease activity, secretory and NFPA significantly decrease QoL in comparison with healthy Mexican population QoL register.

Background Health-care workers (HCWs) could be at increased occupational risk for SARS-CoV-2 infection. Information regarding prevalence and risk factors for adverse outcomes in HCWs is scarce in Mexico. Here, we aimed to explore prevalence of SARS-CoV-2, symptoms, and risk factors associated with adverse outcomes in HCWs in Mexico City. Methods We explored data collected by the National Epidemiological Surveillance System in Mexico City. All cases underwent real-time RT-PCR test. We explored outcomes related to severe COVID-19 in HCWs and the diagnostic performance of symptoms to detect SARS-CoV-2 infection in HCWs. Results As of July 5 th, 2020, 35,095 HCWs were tested for SARS-CoV-2 and 11,226 were confirmed (31.9%). Overall, 4,322 were nurses (38.5%), 3,324 physicians (29.6%), 131 dentists (1.16%) and 3,449 laboratory personnel and other HCWs (30.8%). After follow-up, 1,009 HCWs required hospitalization (9.00%), 203 developed severe outcomes (1.81%), and 93 required mechanical-ventilatory support (0.82%). Lethality was recorded in 226 (2.01%) cases. Symptoms associated with SARS-CoV-2 positivity were fever, cough, malaise, shivering, myalgias at evaluation but neither had significant predictive value. We also identified 341 asymptomatic SARS-CoV-2 infections (3.04%). Older HCWs with chronic non-communicable diseases, pregnancy, and severe respiratory symptoms were associated with higher risk for adverse outcomes. Physicians had higher risk for hospitalization and for severe outcomes compared with nurses and other HCWs. Conclusions We report a high prevalence of SARS-CoV-2 infection in HCWs in Mexico City. No symptomatology can accurately discern HCWs with SARS-CoV-2 infection. Particular attention should focus on HCWs with risk factors to prevent adverse outcomes and reduce infection risk.

Background Type 2 diabetes mellitus (T2D) is a leading cause of morbidity and mortality in Mexico. Here, we aimed to report incidence rates (IR) of type 2 diabetes in middle-aged apparently-healthy Mexican adults, identify risk factors associated to ID and develop a predictive model for ID in a high-risk population. Methods Prospective 3-year observational cohort, comprised of apparently-healthy adults from urban settings of central Mexico in whom demographic, anthropometric and biochemical data was collected. We evaluated risk factors for ID using Cox proportional hazard regression and developed predictive models for ID. Results We included 7636 participants of whom 6144 completed follow-up. We observed 331 ID cases (IR: 21.9 per 1000 person-years, 95%CI 21.37–22.47). Risk factors for ID included family history of diabetes, age, abdominal obesity, waist-height ratio, impaired fasting glucose (IFG), HOMA2-IR and metabolic syndrome. Early-onset ID was also high (IR 14.77 per 1000 person-years, 95%CI 14.21–15.35), and risk factors included HOMA-IR and IFG. Our ID predictive model included age, hypertriglyceridemia, IFG, hypertension and abdominal obesity as predictors (D xy = 0.487, c-statistic = 0.741) and had higher predictive accuracy compared to FINDRISC and Cambridge risk scores. Conclusions ID in apparently healthy middle-aged Mexican adults is currently at an alarming rate. The constructed models can be implemented to predict diabetes risk and represent the largest prospective effort for the study metabolic diseases in Latin-American population. Electronic supplementary material The online version of this article (10.1186/s12902-019-0361-8) contains supplementary material, which is available to authorized users.