The two different profiles in heart failure with preserved ejection fraction and type 2 diabetes mellitus: ischemic and diabetic.

OBJECTIVE: Two profiles of patients with heart failure with preserved ejection fraction (HFpEF) and type 2 diabetes mellitus (T2DM) can be discerned: those with ischemic and those with diabetic cardiomyopathy (DMC). We aim to analyze clinical differences and prognosis between patients of these two profiles. MATERIAL AND METHODS: This cohort study analyzes data from the Spanish Heart Failure Registry, a multicenter, prospective registry that enrolled patients admitted for decompensated heart failure and followed them for one year. Three groups were created according to the presence of T2DM and heart disease depending on the etiology (ischemic when coronary artery disease was present, or DMC when no coronary, valvular, or congenital heart disease; no hypertension; nor infiltrative cardiovascular disease observed on an endomyocardial biopsy). The groups and outcomes were compared. RESULTS: A total of 466 patients were analyzed. Group 1 (n = 210) included patients with ischemic etiology and T2DM. Group 2 (n = 112) included patients with DMC etiology and T2DM. Group 3 (n = 144), a control group, included patients with ischemic etiology and without T2DM. Group 1 had more hypertension and dyslipidemia; group 2 had more atrial fibrillation (AF) and higher body mass index; group 3 had more chronic kidney disease and were older. In the regression analysis, group 3 had a better prognosis than group 1 (reference group) for cardiovascular mortality and HF readmissions (HR 0.44;95%CI 0.2-1; p = .049). CONCLUSIONS: Patients with T2DM and HFpEF, who had the poorest prognosis, were of two different profiles: either ischemic or DMC etiology. The first had a higher burden of cardiovascular disease and inflammation whereas the second had a higher prevalence of obesity and AF. The first had a slightly poorer prognosis than the second, though this finding was not significant.

Glycemic control and prescription profiles in internal medicine inpatients: The role of frailty.

AIM: This work aims to characterize the clinical profile of individuals with frailty syndrome, diabetes mellitus (DM), and hyperglycemia during hospitalization in regard to glycemic control and treatment regimen. METHODS: This cross-sectional multicentric study included patients with DM or hyperglycemia at admission. Demographic data, blood glucose values, treatment administered during hospitalization, and treatment indicated at discharge were analyzed. The sample was divided into three groups according to score on a frailty questionnaire. Generalized additive models were used to describe the relationship between either glycemic variability (GV) or minimum capillary blood glucose and hypoglycemia. Models were adjusted for age, comorbidity, and sarcopenia. RESULTS: A total of 1,137 patients were analyzed. Patients with frailty syndrome had more comorbidity and sarcopenia, worse renal function, and lower albumin and lymphocyte levels. A GV between 21% and 60% was related to a higher probability of hypoglycemia, especially in patients with frailty. Regarding minimum capillary blood glucose, patients with frailty had the highest probability of hypoglycemia. This probability remained significant even in the group with frailty in which, with a reference value of 200 mg/dl, the adjusted odds ratio of a minimum capillary blood glucose of 151 mg/dL was 1.08 (95% confidence interval (1.12-1.05)). Baseline treatments showed a significant predominance of insulin use in the frailest groups. CONCLUSIONS: Patients with frailty had more sarcopenia and undernourishment. These patients were managed in a similar manner during hospitalization to patients without frailty, despite their higher risk of hypoglycemia according to GV or minimum capillary blood glucose levels.

Weekend and holiday admissions for decompensated heart failure and in-hospital mortality. A cumulative effect of "nonworking" days?

INTRODUCTION AND OBJECTIVES: The aim of this study was to analyze whether nonelective admissions in patients with heart failure (HF) on nonworking days (NWD) are associated with higher in-hospital mortality. METHODS: We conducted a retrospective (2018-2019) observational study of episodes of nonelective admissions in patients aged 18 years and older discharged with a principal diagnosis of HF in acute general hospitals of the Spanish National Health System. NWD at admission were defined as Fridays after 14:00hours, Saturdays, Sundays, and national and regional holidays. In-hospital mortality was analyzed with logistic regression models. The length of NWD was considered as an independent continuous variable. Propensity score matching was used as a sensitivity analysis. RESULTS: We selected 235 281 episodes of nonelective HF admissions. When the NWD periods were included in the in-hospital mortality model, the increases in in-hospital mortality compared with weekday admission were as follows: 1 NWD day (OR, 1.11; 95%CI, 1.07-1.16); 2 days (OR, 1.13; 95%CI, 1.09-1.17); 3 (OR, 1.16; 95%CI, 1.05-1.27); and ≥4 days (OR, 1.20; 95%CI, 1.09-1.32). There was a statistically significant association between a linear increase in NWD and higher risk-adjusted in-hospital mortality (chi-square trend P=.0002). After propensity score matching, patients with HF admitted on NWD had higher in-hospital mortality than those admitted on weekdays (OR, 1.11; average treatment effect, 12.2% vs 11.1%; P<.001). CONCLUSIONS: We found an association between admissions for decompensated HF on an NWD and higher in-hospital mortality. The excess mortality is likely not explained by differences in severity. In this study, the "weekend effect" tended to increase as the NWD period became longer.

Approach to obesity in the elderly population: a consensus report from the Diabetes, Obesity and Nutrition Working Group of SEMI (Spanish Society of Internal Medicine).

Obesity in the elderly not only impacts morbidity and mortality but their quality of life. This phenomenon has sparked extensive research and debate regarding treatment recommendations, primarly due to the lack evidence in this specific population. When addressing possible treatment recommendations for older adults with obesity, it is crucial to assess certain essential aspects such as functional status, sarcopenia, cognitive status, and others. Intentional weight loss in this population can be both effective and safe. The best weight loss plan for the elderly revolves around adopting a healthy lifestyle, which includes following a Mediterranean diet pattern and engaging in physical exercise, particularly strength training. Additionally, the use of weight loss medications, particularly glucagon-like peptide-1 receptor agonists (GLP-1 RA) and novel glucose-dependent insulinotropic polypeptide (GIP)/GLP-1 receptor agonists, can provide an additional stage of treatment. In selective candidates, bariatric surgery may also be considered. The objective of this document is to propose a comprehensive algorithm of recommendations for the management of obesity in the elderly (above the age of 65), based on scientific evidence and the expertise of members from the Diabetes, Obesity, and Nutrition Workgroup of the Spanish Society of Internal Medicine.

Malnutrition and sarcopenia worsen short- and long-term outcomes in internal medicine inpatients.

PURPOSE: This work aims to describe patients hospitalized in internal medicine wards in terms of nutrition and sarcopenia. It also seeks to evaluate short- and long-term mortality related to malnutrition and sarcopenia. METHODS: This cross-sectional study collected data on consecutive patients admitted to a single center's internal medicine ward. Patients were recruited in May and October 2021. Malnutrition was determined by the Mini-Nutritional Assessment-Short Form (MNA-SF) and sarcopenia by the Strength, Assistance in walking, Rise from a chair, Climb stairs, and Falls questionnaire (SARC-F scale) and handgrip strength test. Patients who were hospitalized for >48 hours were excluded. RESULTS: The sample included 619 patients with a mean ± SD age of 76.0 ± 14.8 years of which 50.6% were women. Patients were classified into three groups based on malnutrition: group 1 (MNA-SF 12-14 points) (no risk) included 158 patients, group 2 (MNA-SF 8-12 points) (high risk) included 233 patients, and group 3 (MNA-SF 0-7 points) (malnourished) included 228 patients. Malnourished patients had more dysphagia, significantly lower protein and albumin levels, and significantly higher inflammatory marker levels and pressure ulcers. In-hospital mortality was significantly higher in groups 2 and 3 (p < .00001). The worst outcome (mortality and readmissions or mortality) was more common among malnourished patients (p = .0001). Inflammation, comorbidity, and sarcopenia were most closely associated with negative outcomes. CONCLUSION: Malnutrition upon admission is associated with worse short- and long-term outcomes in internal medicine inpatients. Sarcopenia, multimorbidity, and inflammation-measured by albumin, C-reactive protein, or their ratios-are key risk factors. Early identification of malnutrition and sarcopenia through active screening is important in caring for internal medicine patients.

La masa muscular disminuida en la diabetes de tipo 2. Una comorbilidad oculta que debemos tener en cuenta / Decreased muscle mass in type-2 diabetes. A hidden comorbidity to consider

Objetivos: informe de expertos para valorar la realidad de la pérdida de masa muscular en las personas con diabetes mellitus 2 (DM2) y proponer, en base a la evidencia de la bibliografía y la experiencia clínica, cómo debería ser el abordaje clínico de esta comorbilidad. Método: estudio cualitativo de opinión de expertos mediante metodología nominal. Se realizó una búsqueda bibliográfica sobre diabetes y músculos que se remitió a un grupo multidisciplinar de 7 expertos que, en reunión presencial, discutieron sobre diversos aspectos del papel de la masa muscular en la DM2. Resultados: la masa muscular debe tenerse en cuenta dentro del cuadro clínico del paciente con DM2. Repercute enormemente sobre la funcionalidad y la calidad de vida del paciente y es tan importante como el adecuado control metabólico de la DM2. Conclusión: además de la terapia farmacológica y la dieta adaptada, es imprescindible un patrón de actividad física aeróbica y de fuerza para el mantenimiento de la masa y la función muscular en el paciente diabético. En situaciones particulares, una suplementación oral artificial específica para el cuidado del músculo podría mejorar la situación de desnutrición y baja masa muscular. Medidas como el test de la velocidad de marcha, el test de la silla o el cuestionario SARC-F, junto a un índice de Barthel, son un primer paso para diagnosticar un deterioro relevante sobre el que actuar en el paciente DM2. Este documento pretende resolver algunos interrogantes sobre la importancia, la valoración y el control de la masa muscular en la DM2. (AU)

Objectives: an expert report is presented on the situation of loss of muscle mass in people with type 2 diabetes mellitus (T2DM), with a proposal of what the clinical approach to this comorbidity should be, based on the evidence from the literature and clinical experience. Method: a qualitative expert opinion study was carried out using the nominal approach. A literature search on diabetes and muscle was made and submitted to a multidisciplinary group of 7 experts who through a face-to-face meeting discussed different aspects of the role of muscle mass in T2DM. Results: muscle mass must be taken into account in the clinical context of patients with T2DM. It has an enormous impact on patient function and quality of life, and is as important as adequate metabolic control of T2DM. Conclusion: in addition to drug therapy and diet adjustments, aerobic and strength activities are essential for maintaining muscle mass and function in diabetic patients. In concrete situations, artificial oral supplementation specific for muscle care could improve the situation of malnutrition and low muscle mass. Measures such as the walking speed test, chair test, or the SARC-F questionnaire, together with the Barthel index, constitute a first step to diagnose relevant impairment requiring intervention in patients with T2DM. This document seeks to answer some questions about the importance, assessment, and control of muscle mass in T2DM. (AU)

[Decreased muscle mass in type-2 diabetes. A hidden comorbidity to consider]. / La masa muscular disminuida en la diabetes de tipo 2. Una comorbilidad oculta que debemos tener en cuenta.

Introduction: Objectives: an expert report is presented on the situation of loss of muscle mass in people with type 2 diabetes mellitus (T2DM), with a proposal of what the clinical approach to this comorbidity should be, based on the evidence from the literature and clinical experience. Method: a qualitative expert opinion study was carried out using the nominal approach. A literature search on diabetes and muscle was made and submitted to a multidisciplinary group of 7 experts who through a face-to-face meeting discussed different aspects of the role of muscle mass in T2DM. Results: muscle mass must be taken into account in the clinical context of patients with T2DM. It has an enormous impact on patient function and quality of life, and is as important as adequate metabolic control of T2DM. Conclusions: in addition to drug therapy and diet adjustments, aerobic and strength activities are essential for maintaining muscle mass and function in diabetic patients. In concrete situations, artificial oral supplementation specific for muscle care could improve the situation of malnutrition and low muscle mass. Measures such as the walking speed test, chair test, or the SARC-F questionnaire, together with the Barthel index, constitute a first step to diagnose relevant impairment requiring intervention in patients with T2DM. This document seeks to answer some questions about the importance, assessment, and control of muscle mass in T2DM.

Introducción: Objetivos: informe de expertos para valorar la realidad de la pérdida de masa muscular en las personas con diabetes mellitus 2 (DM2) y proponer, en base a la evidencia de la bibliografía y la experiencia clínica, cómo debería ser el abordaje clínico de esta comorbilidad. Método: estudio cualitativo de opinión de expertos mediante metodología nominal. Se realizó una búsqueda bibliográfica sobre diabetes y músculos que se remitió a un grupo multidisciplinar de 7 expertos que, en reunión presencial, discutieron sobre diversos aspectos del papel de la masa muscular en la DM2. Resultados: la masa muscular debe tenerse en cuenta dentro del cuadro clínico del paciente con DM2. Repercute enormemente sobre la funcionalidad y la calidad de vida del paciente y es tan importante como el adecuado control metabólico de la DM2. Conclusión: además de la terapia farmacológica y la dieta adaptada, es imprescindible un patrón de actividad física aeróbica y de fuerza para el mantenimiento de la masa y la función muscular en el paciente diabético. En situaciones particulares, una suplementación oral artificial específica para el cuidado del músculo podría mejorar la situación de desnutrición y baja masa muscular. Medidas como el test de la velocidad de marcha, el test de la silla o el cuestionario SARC-F, junto a un índice de Barthel, son un primer paso para diagnosticar un deterioro relevante sobre el que actuar en el paciente DM2. Este documento pretende resolver algunos interrogantes sobre la importancia, la valoración y el control de la masa muscular en la DM2.

Effect of semaglutide on fatty liver disease biomarkers in patients with diabetes and obesity.

AIM: This work aims to assess the effect of weekly subcutaneous semaglutide on biomarkers of metabolic-associated fatty liver disease (MAFLD), namely the hepatic steatosis index (HSI) and the fibrosis-4 (FIB-4) index, at 24 weeks in outpatients attended to in internal medicine departments. METHODS: This study analyzed patients in an ongoing, multicenter, prospective, pre-post, uncontrolled cohort registry that enrolls unique, consecutive patients with type 2 diabetes treated with weekly subcutaneous semaglutide. Steatosis/fibrosis were determined by HSI (<30 ruled out, >36 steatosis) and FIB-4 (<1.3 ruled out, >2.67 fibrosis), respectively. RESULTS: The sample included 213 patients (46.9% women) with a median age of 64 (19) years. The median baseline body mass index and weight were 36.1 (8.4) kg/m2 and 98 (26.9) kg, respectively. A total of 99.9% had HSI values indicating steatosis, with a mean HSI of 47.9 (8.2). Additionally, 10.8% had fibrosis (FIB-4 > 2.67) and 42.72% had values in intermediate ranges (FIB-4 1.3-2.67). At 24 weeks, there was a significant reduction in HSI (-2.36 (95%CI 1.83-2.9) p < 0.00001) and FIB-4 (-0.075 (95%CI 0.015-0.14) p < 0.016), mainly related to declines in body weight, triglyceride levels, insulin resistance (estimated by the triglyceride-glucose index), and liver enzymes. CONCLUSION: These results show that weekly subcutaneous semaglutide had a beneficial effect on liver steatosis that went beyond glucose control. Its effects were mainly related to weight loss, a decline in biomarkers, and improvements in insulin sensitivity. For many patients, early detection is essential for improving MAFLD outcomes and may allow for selecting the most efficient treatment options.

High-Risk Obesity Phenotypes: Target for Multimorbidity Prevention at the ROFEMI Study.

Background: Describe the profile of patients with obesity in internal medicine to determine the role of adiposity and related inflammation on the metabolic risk profile and, identify various "high-risk obesity" phenotypes by means of a cluster analysis. This study aimed to identify different profiles of patients with high-risk obesity based on a cluster analysis. Methods: Cross-sectional, multicenter project that included outpatients attended to in internal medicine. A total of 536 patients were studied. The mean age was 62 years, 51% were women. Patients were recruited from internal medicine departments over two weeks in November and December 2021 and classified into four risk groups according to body mass index (BMI) and waist circumference (WC). High-risk obesity was defined as BMI > 35 Kg/m2 or BMI 30−34.9 Kg/m2 and a high WC (>102 cm for men and >88 cm for women). Hierarchical and partitioning clustering approaches were performed to identify profiles. Results: A total of 462 (86%) subjects were classified into the high-risk obesity group. After excluding 19 patients missing critical data, two profiles emerged: cluster 1 (n = 396) and cluster 2 (n = 47). Compared to cluster 1, cluster 2 had a worse profile, characterized by older age (77 ± 16 vs. 61 ± 21 years, p < 0.01), a Charlson Comorbidity Index > 3 (53% vs. 5%, p < 0.001), depression (36% vs. 19%, p = 0.008), severe disability (64% vs. 3%, p < 0.001), and a sarcopenia score ≥ 4 (79% vs. 16%, p < 0.01). In addition, cluster 2 had greater inflammation than cluster 1 (hsCRP: 5.8 ± 4.1 vs. 2.1 ± 4.5 mg/dL, p = 0.008). Conclusions: Two profiles of subjects with high-risk obesity were identified. Based on that, older subjects with obesity require measures that target sarcopenia, disability, psychological health, and significant comorbidities to prevent further health deterioration. Longitudinal studies should be performed to identify potential risk factors of subjects who progress from cluster 1 to cluster 2.

Association of blood group A with hospital comorbidity in patients infected by SARS-CoV-2.

Background and objectives: In the pandemic caused by SARS-CoV-2, identifying which risk factors are associated with the most serious forms of the disease is important. Blood group A has been presented in various studies as a poor prognostic factor. The objective of this study was to evaluate whether patients with blood group A were associated with more important comorbidities, measured by the Charlson Index, which may explain their worse clinical evolution. Patients and methods: A prospective and consecutive study examined 100 patients diagnosed with COVID-19 and admitted in March 2020. A multivariate linear regression model was used to evaluate the association of blood group A with the Charlson Index. Results: Patients in group A had a higher Charlson Index (P = .037), rate of lymphopenia (P = .039) and thrombopenia (P = .014), and hospital mortality (P = .044). Blood group A was an independent factor associated with the Charlson Index (B 0.582, 95% CI 0.02-1.14, P = .041). Conclusions: Group A was independently associated with greater comorbidity, associated with an increase of 0.582 points in the Charlson Index compared to other blood groups. It was also associated with lower hospital mortality.

Fundamento y objetivos: En la pandemia provocada por SARS-CoV-2, es importante identificar qué factores de riesgo se asocian a las formas más graves de la enfermedad. El grupo sanguíneo A se ha presentado en diversos estudios como factor de mal pronóstico. El objetivo de este estudio radica en evaluar si los pacientes de grupo sanguíneo O asocian comorbilidades más importantes, medido por el Índice de Charlson, que puedan justificar también su peor evolución clínica. Pacientes y método: Estudio prospectivo y consecutivo con 100 pacientes diagnosticados de COVID-19 ingresados en marzo de 2020. Se empleó un modelo de regresión lineal multivariante para evaluar la asociación del grupo sanguíneo A con el Índice de Charlson. Resultados: Los pacientes del grupo A presentaron mayor Índice de Charlson (P = .037), linfopenia (P = .039), trombopenia (P = .014) y mortalidad hospitalaria (P = .044).El grupo sanguíneo A demostró ser un factor independiente asociado a dicho índice [B 0.582, IC 95% (0.02­1.14), P = .041]. Conclusiones: El grupo A se asocia de forma independiente a mayor comorbilidad, asociando un incremento de 0.582 puntos en el índice de Charlson con respecto al resto de grupos sanguíneos. Además, asocia una tendencia de menor mortalidad hospitalaria.

Asociación del grupo sanguíneo A con mayor comorbilidad hospitalaria en pacientes infectados por SARS-CoV-2 / Association of blood group A with hospital comorbidity in patients infected by SARS-CoV-2

Fundamento y objetivosEn la pandemia provocada por SARS-CoV-2 es importante identificar qué factores de riesgo se asocian a las formas más graves de la enfermedad. El grupo sanguíneo A se ha presentado en diversos estudios como factor de mal pronóstico. El objetivo de este estudio radica en evaluar si los pacientes de grupo sanguíneo A asocian comorbilidades más importantes, medido por el Índice de Charlson, que puedan justificar también su peor evolución clínica.Pacientes y métodoEstudio prospectivo y consecutivo con 100 pacientes diagnosticados de COVID-19 ingresados en marzo de 2020. Se empleó un modelo de regresión lineal multivariante para evaluar la asociación del grupo sanguíneo A con el Índice de Charlson.ResultadosLos pacientes del grupo A presentaron mayor índice de Charlson (p=0,037), linfopenia (p=0,039), trombocitopenia (p=0,014) y mortalidad hospitalaria (p=0,044).El grupo sanguíneo A demostró ser un factor independiente asociado a dicho índice (B 0,582; IC 95% [0,02-1,14], p=0,041).ConclusionesEl grupo A se asocia de forma independiente a mayor comorbilidad, asociando un incremento de 0,582 puntos en el índice de Charlson con respecto al resto de grupos sanguíneos. Además, asocia una tendencia de menor mortalidad hospitalaria. (AU)

Background and objectivesIn the pandemic caused by SARS-CoV-2, identifying which risk factors are associated with the most serious forms of the disease is important. Blood group A has been presented in various studies as a poor prognostic factor. The objective of this study was to evaluate whether patients with blood group A were associated with more important comorbidities, measured by the Charlson Index, which may explain their worse clinical evolution.Patients and methodsA prospective and consecutive study examined 100 patients diagnosed with COVID-19 and admitted in March 2020. A multivariate linear regression model was used to evaluate the association of blood group A with the Charlson Index.ResultsPatients in group A had a higher Charlson Index (P=.037), rate of lymphopenia (P=.039) and thrombopenia (P=.014), and hospital mortality (P=.044). Blood group A was an independent factor associated with the Charlson Index (B 0.582, 95% CI 0.02-1.14, P=0.041).ConclusionsGroup A was independently associated with greater comorbidity, associated with an increase of 0.582 points in the Charlson Index compared to other blood groups. It was also associated with lower hospital mortality. (AU)

The importance of association of comorbidities on COVID-19 outcomes: a machine learning approach.

BACKGROUND: The individual influence of a variety of comorbidities on COVID-19 patient outcomes has already been analyzed in previous works in an isolated way. We aim to determine if different associations of diseases influence the outcomes of inpatients with COVID-19. METHODS: Retrospective cohort multicenter study based on clinical practice. Data were taken from the SEMI-COVID-19 Registry, which includes most consecutive patients with confirmed COVID-19 hospitalized and discharged in Spain. Two machine learning algorithms were applied in order to classify comorbidities and patients (Random Forest -RF algorithm, and Gaussian mixed model by clustering -GMM-). The primary endpoint was a composite of either, all-cause death or intensive care unit admission during the period of hospitalization. The sample was randomly divided into training and test sets to determine the most important comorbidities related to the primary endpoint, grow several clusters with these comorbidities based on discriminant analysis and GMM, and compare these clusters. RESULTS: A total of 16,455 inpatients (57.4% women and 42.6% men) were analyzed. According to the RF algorithm, the most important comorbidities were heart failure/atrial fibrillation (HF/AF), vascular diseases, and neurodegenerative diseases. There were six clusters: three included patients who met the primary endpoint (clusters 4, 5, and 6) and three included patients who did not (clusters 1, 2, and 3). Patients with HF/AF, vascular diseases, and neurodegenerative diseases were distributed among clusters 3, 4 and 5. Patients in cluster 5 also had kidney, liver, and acid peptic diseases as well as a chronic obstructive pulmonary disease; it was the cluster with the worst prognosis. CONCLUSION: The interplay of several comorbidities may affect the outcome and complications of inpatients with COVID-19.

Association of blood group A with hospital comorbidity in patients infected by SARS-CoV-2. / Asociación del grupo sanguíneo A con mayor comorbilidad hospitalaria en pacientes infectados por SARS-CoV-2.

BACKGROUND AND OBJECTIVES: In the pandemic caused by SARS-CoV-2, identifying which risk factors are associated with the most serious forms of the disease is important. Blood group A has been presented in various studies as a poor prognostic factor. The objective of this study was to evaluate whether patients with blood group A were associated with more important comorbidities, measured by the Charlson Index, which may explain their worse clinical evolution. PATIENTS AND METHODS: A prospective and consecutive study examined 100 patients diagnosed with COVID-19 and admitted in March 2020. A multivariate linear regression model was used to evaluate the association of blood group A with the Charlson Index. RESULTS: Patients in group A had a higher Charlson Index (P=.037), rate of lymphopenia (P=.039) and thrombopenia (P=.014), and hospital mortality (P=.044). Blood group A was an independent factor associated with the Charlson Index (B 0.582, 95% CI 0.02-1.14, P=0.041). CONCLUSIONS: Group A was independently associated with greater comorbidity, associated with an increase of 0.582 points in the Charlson Index compared to other blood groups. It was also associated with lower hospital mortality.

Evidence-based therapeutics for hyperglycemia in hospitalized noncritically ill patients.

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.

Clinical Recommendations to Manage Gastrointestinal Adverse Events in Patients Treated with Glp-1 Receptor Agonists: A Multidisciplinary Expert Consensus.

Glucagon-like peptide-1 receptor agonists (GLP-1 RAs) are indicated in type 2 diabetes and obesity for their high efficacy in controlling glycaemia and inducing body weight loss, respectively. Patients may develop gastrointestinal adverse events (GI AEs), namely nausea, vomiting, diarrhoea and/or constipation. To minimize their severity and duration, healthcare providers (HCPs) and patients must be aware of appropriate measures to follow while undergoing treatment. An expert panel comprising endocrinologists, nephrologists, primary care physicians, cardiologists, internists and diabetes nurse educators convened across virtual meetings to reach a consensus regarding these compelling recommendations. Firstly, specific guidelines are provided about how to reach the maintenance dose and how to proceed if GI AEs develop during dose-escalation. Secondly, specific directions are set about how to avoid/minimize nausea, vomiting, diarrhoea and constipation symptoms. Clinical scenarios representing common situations in daily practice, and infographics useful to guide both HCPs and patients, are included. These recommendations may prevent people with T2D and/or obesity from withdrawing from GLP-1 RAs treatment, thus benefitting from their superior effect on glycaemic control and weight loss.

Effect of newer antihyperglycemic drugs on liver steatosis indices in patients with diabetes and obesity.

AIM: To assess the efficacy of sodium-glucose cotransporter-2 inhibitor (SGLT2i) and glucagon-like peptide-1 receptors agonist (GLP-1RA) therapy on liver steatosis measured by fatty liver index (FLI) and hepatic steatosis index (HSI) at 26 weeks in outpatients with diabetes and obesity. METHODS: Observational, prospective, multicenter study. Patients with steatosis determined by FLI (values <30 rule out and >60 indicate steatosis) and HIS (values <30 rule out and >36 indicate steatosis) who received combination therapy were included. Patients were stratified into three groups according to the sequential order of treatment. We used robust statistical methods. RESULTS: In our final report we included 174 patients (58.6% males), mean age 61.9 (10) years. Baseline body mass index, waist circumference and weight were 36.5 (6.8) kg/m2, 117.5 (15.1) cm and 99.4 (20.5) kg, respectively. One hundred percent of patients had altered biomarkers of fatty liver scores (FLI 96 [13] and HSI 49.2 [8.5]). At 26 weeks, significant reductions in FLI (-4.5 [95% CI 3.5-5.9] p < .001) and HSI (-2.4 [95% CI 1.6-3.2] p < .001) were found in the total sample and pre-specified treatment and FLI cut-off point subgroups. CONCLUSION: Our results show a beneficial effect of the combination of GLP-1RAs plus SGLT2is on liver steatosis that goes beyond glucose control, and it is related mainly to weight loss, a decline in biomarkers and reductions in abdominal circumference. For many patients, early detection is essential to improving outcomes in NAFLD and could allow us to select the most efficient treatment options.