Search

Background and Objective: Patients with diabetes mellitus (DM) experience accelerated aging and, thus, a high prevalence of frailty. Our aim is to outline the type of frailty and prefrailty from a multidimensional perspective and the interaction of these dimensions in this scenery., Material and Methods: Observational study of patients with DM over 60 years-old. Variables related to nutrition, cognitive and emotional status, physical and instrumental functional capacity and social resources were collected. They were divided into three groups (robust, prefrail and frail) according to the Fried scale. Each of the variables in the groups were compared and a correspondence analysis was carried out to see the influence of some dimensions with others in each stage of frailty., Results: 188 patients (mean age 72.6 + 7.5) were analysed. Of them, 105 patients had prefrailty and 66 were frail. With the exception of social resources, the rest of the variables had an increasing prevalence depending on the stage of frailty. However, in the correspondence analysis (with 22.9% of variation explained by two dimensions) it was only patients with frailty who were associated with worse functional capacity, cognitive and emotional situation and mild to moderate social incapacity., Conclusions: In our sample there was a high prevalence of prefrailty, and frailty associated with an increase in the prevalence of other different dimensions except social resources. However, the interaction between these dimensions was only evident in the case of patients with frailty., (Copyright © 2024 Elsevier España, S.L.U. and Sociedad Española de Medicina Interna (SEMI). All rights reserved.)

Hyperglycemia in hospitalized patients, either with or without diabetes, is a common, serious, and costly healthcare problem. Evidence accumulated over 20 years has associated hyperglycemia with a significant increase in morbidity and mortality, both in surgical and medical patients. Based on this documented link between hyperglycemia and poor outcomes, clinical guidelines from professional organizations recommend the treatment of hospital hyperglycemia with a therapeutic goal of maintaining blood glucose (BG) levels less than 180 mg/dL. Insulin therapy remains a mainstay of glycemic management in the inpatient setting. The use of non-insulin antidiabetic drugs in the hospital setting is limited because little data are available regarding their safety and efficacy. However, information about the use of incretin-based therapy in inpatients has increased in the past 15 years. This review aims to summarize the different treatment strategies for hyperglycemia in hospitalized noncritical patients that are supported by observational studies or clinical trials with insulin and non-insulin drugs. In addition, we propose a protocol to help with the management of this important clinical problem.

Background: An objective and simple prognostic model for hospitalized patients with hypoglycemia could be helpful in guiding initial intensity of treatment., Methods: We carried out a derivation rule for hypoglycemia using data from a nationwide retrospective cohort study of patients with diabetes or hyperglycemia carried out in 2014 (n=839 patients). The rule for hypoglycemia was validated using a second data set from a nationwide retrospective cohort study carried out in 2016 (n=561 patients). We derived our prediction rule using logistic regression with hypoglycemia (glucose less than 70mg/dL) as the primary outcome., Results: The incidence of hypoglycemia in the derivation cohort was 10.3%. Patient's characteristics independently associated with hypoglycemia included episodes of hypoglycemia during the previous three months (odds ratio [OR]: 6.29, 95% confidence interval [95%CI]: 3.37-11.79, p<0.001) estimated glomerular filtration rate lower than 30mL/min/1.73m 2 (OR: 2.32, 95%CI: 1.23-4.35, p=0.009), daily insulin dose greater than 0.3units per Kg (OR: 1.74, 95%CI: 1.06-2.85, p=0.028), and days of hospitalization (OR: 1.03, 95%CI: 1.01-1.04, p=0.001). The model showed an area under the curve (AUC): 0.72 (95%CI: 0.66-0.78, p<0.001). The AUC in the validation cohort was: 0.71 (95%CI: 0.63-0.79, p<0.001)., Conclusions: The rule showed fair accuracy to predict hypoglycemia. Implementation of the rule into computer systems could be used in guiding initial insulin therapy., (Copyright © 2017 European Federation of Internal Medicine. Published by Elsevier B.V. All rights reserved.)