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Abstract To analyse mortality associated to emergency admissions on weekends, differentiating whether the patients were admitted to the Internal Medicine department or to the hospital as a whole. Retrospective follow-up study of patients discharged between 2015 and 2019 in: (a) the Internal Medicine department (n = 7656) and (b) the hospital as a whole (n = 83,146). Logistic regression models were fitted to analyse the risk of death, adjusting for age, sex, severity, Charlson index, sepsis, pneumonia, heart failure and day of admission. Cox models were also adjusted for the time from admission until normal inpatient care. There was a significant increase in mortality for patients admitted in weekends with short stays in Internal Medicine (48, 72 and 96 h: OR = 2.50, 1.89 and 1.62, respectively), and hospital-wide (OR = 2.02, 1.41 and 1.13, respectively). The highest risk in weekends occurred on Fridays (stays ≤ 48 h: OR = 3.92 [95% CI 2.06–7.48]), being no significative on Sundays. The risk increased with the time elapsed from admission until the inpatient department took over care (OR = 5.51 [95% CI 1.42–21.40] when this time reached 4 days). In Cox models patients reached HR = 2.74 (1.00–7.54) when the delay was 4 days. Whether it was Internal Medicine or hospital-wide patients, the risk of death associated with emergency admission in WE increased with the time between admission and transfer of care to the inpatient department; consequently, Friday was the day with the highest risk while Sunday lacked a weekend effect. Healthcare systems should correct this serious problem.

Abstract Serum resistin is a pro-inflammatory cytokine that has been described as a risk factor associated with mortality in several clinical sets including type 2 diabetes. Mortality studies in the general population are needed to find out the risk of death associated to this cytokine. In a follow-up study of a cohort of adult population (n = 6636) in Spain over a period of fifteen years (447 deaths/102,255 person-years), serum resistin measurements and death records were obtained. The risks of all-cause deaths, and deaths from cardiovascular and oncological diseases were estimated. Hazard ratios (HR) and its confidence intervals (CI) were calculated using multivariable Cox models, adjusting the effect of 11 traditional risk factors. The risk of all-cause mortality among participants exposed to the highest quintile of resistin was always higher than among those in the lowest quintile (HR varied between 1.55 when smoking was the adjusted factor [95% CI 1.17–2.05], and 1.68 when the adjusted factor was physical activity [95% CI 1.27–2.21]). The maximally adjusted model, accounting for the effect of all traditional factors, corroborated this higher risk of all-cause mortality among people in the highest resistin quintile (HR = 1.52; 95% CI 1.13–2.05). The effect of resistin was even higher for cardiovascular deaths (HR = 2.14; 95% CI 1.13–4.06), being exceeded only by suffering diabetes (HR = 3.04; 95% CI 1.98–4.69) or previous acute coronary syndrome (HR = 3.67; 95% CI 2.18–6.18). This findings corroborate the role of resistin as a risk factor for all-cause (and cardiovascular) death in the general population.

Abstract The current inhabitants of the Canary Islands have a unique genetic makeup in the European diversity landscape due to the existence of African footprints from recent admixture events, especially of North African components (> 20%). The underrepresentation of non-Europeans in genetic studies and the sizable North African ancestry, which is nearly absent from all existing catalogs of worldwide genetic diversity, justify the need to develop CIRdb, a population-specific reference catalog of natural genetic variation in the Canary Islanders. Based on array genotyping of the selected unrelated donors and comparisons against available datasets from European, sub-Saharan, and North African populations, we illustrate the intermediate genetic differentiation of Canary Islanders between Europeans and North Africans and the existence of within-population differences that are likely driven by genetic isolation. Here we describe the overall design and the methods that are being implemented to further develop CIRdb. This resource will help to strengthen the implementation of Precision Medicine in this population by contributing to increase the diversity in genetic studies. Among others, this will translate into improved ability to fine map disease genes and simplify the identification of causal variants and estimate the prevalence of unattended Mendelian diseases.