Results of salt intake restriction monitored with the new sodium control biosensor

Adherence to a low sodium (Na) diet is crucial in patients under hemodialysis, as it improves cardiovascular outcomes and reduces thirst and interdialytic weight gain. Recommended salt intake is lower than 5 g/day. The new 6008 CareSystem monitors incorporate a Na module that offers the advantage of estimating patients' salt intake. The objective of this study was to evaluate the effect of dietary Na restriction for 1 week, monitored with the Na biosensor.A prospective study was conducted in 48 patients who maintained their usual dialysis parameters and were dialyzed with a 6008 CareSystem monitor with activation of the Na module. Total Na balance, pre/postdialysis weight, serum Na (sNa), changes in pre- to post-dialysis sNa (ΔsNa), diffusive balance, and systolic and diastolic blood pressure were compared twice, once after 1 week of patients' usual Na diet and again after another week with more restricted Na intake.Restricted Na intake increased the percentage of patients on a low-sodium diet (<85 Na mmol/day) from 8% to 44%. Average daily Na intake decreased from 149 ± 54 to 95 ± 49 mmol and interdialytic weight gain was reduced by 460 ± 484 g per session. More restricted Na intake also decreased pre-dialysis sNa and increased both intradialytic diffusive balance and ΔsNa. In hypertensive patients, reducing daily sodium by more than 3 g Na/day lowered their systolic blood pressure.The new Na module allowed objective monitoring of Na intake, which in turn could permit more precise personalized dietary recommendations in patients under hemodialysis.S. Karger AG, Basel

Efficacy of treatment for hyperglycemic crisis in elderly diabetic patients in a day hospital

The purpose of this prospective cohort study was to compare the costs of day hospital (DH) care for hyperglycemic crisis in elderly diabetic patients with those of conventional hospitalization (CH). Secondary objectives were to compare these two clinical scenarios in terms of glycemic control, number of emergency and outpatient visits, readmissions, hypoglycemic episodes, and nosocomial morbidity. The study population comprised diabetic patients aged >74 years consecutively admitted to a tertiary teaching hospital in Spain for hyperglycemic crisis (sustained hyperglycemia [>300 mg/dL] for at least 3 days with or without ketosis). The patients were assigned to DH or CH care according to time of admission and were followed for 6 months after discharge. Exclusion criteria were ketoacidosis, hyperosmolar crisis, hemodynamic instability, severe intercurrent illness, social deprivation, or Katz index >D. Sixty-four diabetic patients on DH care and 36 on CH care were included, with no differences in baseline characteristics. The average cost per patient was 1,345.1±793.6 € in the DH group and 2,212.4±982.5 € in the CH group (P <0.001). There were no differences in number of subjects with mild hypoglycemia during follow-up (45.3% DH versus 33.3% CH, P =0.24), nor in the percentage of patients achieving a glycated hemoglobin (HbA) <8% (67.2% DH versus 58.3% CH, P =0.375). Readmissions for hyperglycemic crisis and pressure ulcer rates were significantly higher in the CH group. DH care for hyperglycemic crises is more cost-effective than CH care, with a net saving of 1,418.4 € per case, lower number of readmissions and pressure ulcer rates, and similar short-term glycemic control and hypoglycemia rates

Molecular mechanistic associations of human diseases

<p>Abstract</p> <p>Background</p> <p>The study of relationships between human diseases provides new possibilities for biomedical research. Recent achievements on human genetic diseases have stimulated interest to derive methods to identify disease associations in order to gain further insight into the network of human diseases and to predict disease genes.</p> <p>Results</p> <p>Using about 10000 manually collected causal disease/gene associations, we developed a statistical approach to infer meaningful associations between human morbidities. The derived method clustered cardiometabolic and endocrine disorders, immune system-related diseases, solid tissue neoplasms and neurodegenerative pathologies into prominent disease groups. Analysis of biological functions confirmed characteristic features of corresponding disease clusters. Inference of disease associations was further employed as a starting point for prediction of disease genes. Efforts were made to underpin the validity of results by relevant literature evidence. Interestingly, many inferred disease relationships correspond to known clinical associations and comorbidities, and several predicted disease genes were subjects of therapeutic target research.</p> <p>Conclusions</p> <p>Causal molecular mechanisms present a unifying principle to derive methods for disease classification, analysis of clinical disorder associations, and prediction of disease genes. According to the definition of causal disease genes applied in this study, these results are not restricted to genetic disease/gene relationships. This may be particularly useful for the study of long-term or chronic illnesses, where pathological derangement due to environmental or as part of sequel conditions is of importance and may not be fully explained by genetic background.</p

The role of epigenetics in renal ageing

An ability to separate natural ageing processes from processes specific to morbidities is required to understand the heterogeneity of age-related organ dysfunction. Mechanistic insight into how epigenetic factors regulate ageing throughout the life course, linked to a decline in renal function with ageing, is already proving to be of value in the analyses of clinical and epidemiological cohorts. Noncoding RNAs provide epigenetic regulatory circuits within the kidney, which reciprocally interact with DNA methylation processes, histone modification and chromatin. These interactions have been demonstrated to reflect the biological age and function of renal allografts. Epigenetic factors control gene expression and activity in response to environmental perturbations. They also have roles in highly conserved signalling pathways that modulate ageing, including the mTOR and insulin/insulin-like growth factor signalling pathways, and regulation of sirtuin activity. Nutrition, the gut microbiota, inflammation and environmental factors, including psychosocial and lifestyle stresses, provide potential mechanistic links between the epigenetic landscape of ageing and renal dysfunction. Approaches to modify the renal epigenome via nutritional intervention, targeting the methylome or targeting chromatin seem eminently feasible, although caution is merited owing to the potential for intergenerational and transgenerational effects

Efficacy of treatment for hyperglycemic crisis in elderly diabetic patients in a day hospital

D Benaiges,1&ndash;3 JJ Chillar&oacute;n,1&ndash;3 MJ Carrera,1,3 F Cots,3,4 J Puig de Dou,1 E Corominas,1 J Pedro-Botet,1&ndash;3 JA Flores-Le Roux,1&ndash;3 C Claret,1 A Goday,1&ndash;3 JF Cano1&ndash;3 1Department of Endocrinology and Nutrition, Hospital del Mar, 2Department of Medicine, Universitat Aut&ograve;noma de Barcelona, 3Institut Hospital del Mar d&rsquo;Investigacions M&egrave;diques, 4Epidemiology and Evaluation Department, Parc de Salut Mar, Barcelona, Spain Background:&nbsp;The purpose of this prospective cohort study was to compare the costs of&nbsp;day hospital (DH) care for hyperglycemic crisis in elderly diabetic patients with those of conventional hospitalization (CH). Secondary objectives were to compare these two clinical scenarios in terms of glycemic control, number of emergency and outpatient visits, readmissions, hypoglycemic episodes, and nosocomial morbidity. Methods: The study population comprised diabetic patients aged &gt;74&nbsp;years consecutively admitted to a tertiary teaching hospital in Spain for hyperglycemic crisis (sustained hyperglycemia [&gt;300&nbsp;mg/dL] for at least&nbsp;3&nbsp;days with or without ketosis). The patients were assigned to DH or CH care according to time of admission and were followed for&nbsp;6&nbsp;months after discharge. Exclusion criteria were ketoacidosis, hyperosmolar crisis, hemodynamic instability, severe intercurrent illness, social deprivation, or Katz index &gt;D.Results: Sixty-four diabetic patients on DH care and&nbsp;36&nbsp;on CH care were included, with no differences in baseline characteristics. The average cost per patient was&nbsp;1,345.1&plusmn;793.6&nbsp;&euro; in the DH group and&nbsp;2,212.4&plusmn;982.5&nbsp;&euro; in the CH group (P&lt;0.001). There were no differences in number of subjects with mild hypoglycemia during follow-up (45.3% DH versus&nbsp;33.3% CH, P=0.24), nor in the percentage of patients achieving a glycated hemoglobin (HbA1c) &lt;8% (67.2% DH versus&nbsp;58.3% CH, P=0.375). Readmissions for hyperglycemic crisis and pressure ulcer rates were significantly higher in the CH group.Conclusion: DH care for hyperglycemic crises is more cost-effective than CH care, with a net saving of&nbsp;1,418.4&nbsp;&euro; per case, lower number of readmissions and pressure ulcer rates, and similar short-term glycemic control and hypoglycemia rates. Keywords: day hospital, conventional hospitalization, hyperglycemic crisi

Efficacy of treatment for hyperglycemic crisis in elderly diabetic patients in a day hospital

The purpose of this prospective cohort study was to compare the costs of day hospital (DH) care for hyperglycemic crisis in elderly diabetic patients with those of conventional hospitalization (CH). Secondary objectives were to compare these two clinical scenarios in terms of glycemic control, number of emergency and outpatient visits, readmissions, hypoglycemic episodes, and nosocomial morbidity. The study population comprised diabetic patients aged >74 years consecutively admitted to a tertiary teaching hospital in Spain for hyperglycemic crisis (sustained hyperglycemia [>300 mg/dL] for at least 3 days with or without ketosis). The patients were assigned to DH or CH care according to time of admission and were followed for 6 months after discharge. Exclusion criteria were ketoacidosis, hyperosmolar crisis, hemodynamic instability, severe intercurrent illness, social deprivation, or Katz index >D. Sixty-four diabetic patients on DH care and 36 on CH care were included, with no differences in baseline characteristics. The average cost per patient was 1,345.1±793.6 € in the DH group and 2,212.4±982.5 € in the CH group (P <0.001). There were no differences in number of subjects with mild hypoglycemia during follow-up (45.3% DH versus 33.3% CH, P =0.24), nor in the percentage of patients achieving a glycated hemoglobin (HbA) <8% (67.2% DH versus 58.3% CH, P =0.375). Readmissions for hyperglycemic crisis and pressure ulcer rates were significantly higher in the CH group. DH care for hyperglycemic crises is more cost-effective than CH care, with a net saving of 1,418.4 € per case, lower number of readmissions and pressure ulcer rates, and similar short-term glycemic control and hypoglycemia rates

Estimated insulin sensitivity, cardiovascular risk, and hepatic steatosis after 12 years from the onset of T1D

Aim To test the hypothesis that intensive insulin treatment and optimal glycaemic control are not fully protective against reduction of insulin sensitivity in children with type 1 diabetes.Material and methods Cohort study of 78 normal-weight patients with prepubertal onset (T (0)) and follow-up waves at 1 (T (1)), 5 (T (5)), 10 (T (10)), and 12 (T (12)) years; matched for age and sex to 30 controls at T (12). Estimated insulin sensitivity (eIS) by three formulae; ultrasound evaluation of para and perirenal fat thickness; hepatic steatosis (HS); carotid intima media thickness (cIMT) at T (12).Results At T12, the 36 patients (46%) who had constantly or prevalently haemoglobin A1c (HbA1c) &lt; 58 mmol/l during follow-up showed better eIS indexes (p = 0.049 to &lt;0.0001); lipid profile (p = 0.042 to &lt;0.0001), reduced fat mass (p = 0.012) and required lower insulin dose (p = 0.032) than the 42 patients (54%) with HbA1c &gt;= 58 at T12. Patients (N = 25) with eIS(EDC) &lt; 8.77 mg kg(-1) min(-1) showed higher cIMT (p &lt; 0.0001). HS was found in 6 patients (similar to 8%). In patients and normal-weight controls, fat mass (p = 0.03), age (p = 0.03), cIMT (p = 0.05) predicted HS; eIS indexes (p from 0.04 to &lt;0.0001) predicted cIMT. Body mass index, perirenal fat, fat mass, and triglycerides to high density lipoprotein cholesterol ratio were associated with eIS indexes (p from 0.03 to &lt;0.0001).Conclusions Young T1D patients have reduced insulin sensitivity and higher cIMT. Adiposity, glucose, and lipid control over follow-up are likely to influence both. Enhanced adiposity seems of paramount relevance for the onset of HS in T1D patients alike in healthy youths

Smoke exposure and cardio-metabolic profile in youth with type 1 diabetes

Abstract Background To evaluate the relationship between smoking and metabolic parameters in patients affected by type 1 diabetes (T1D). Patients and methods We enrolled 104 children and young adults (50 females and 54 males) with T1D (aged 16.4 ± 8.6 years). The subjects were divided into three groups according to their smoking habits: no smoking (NS), passive smoking (PS), active smoking (AS). The physical examination of the participants included nutritional status assessment by anthropometry and pubertal stage according to Marshall and Tanner as well as blood pressure measurement. In all patients, metabolic blood assays including fasting blood glucose, insulin, total cholesterol, high-density lipoprotein cholesterol, and triglycerides were measured. Insulin resistance was determined by glucose disposal rate (eGDR). Physical activity was also recorded. Results Significant differences in biochemical and functional parameters among the three groups were demonstrated, in particular for systolic (p = 0.002) and diastolic pressure (p = 0.02) and eGDR (p = 0.039). No differences in daily insulin dose (p = 0.75) and glycated hemoglobin (p = 0.39) were observed. AS group had significantly higher blood pressure (p < 0.05) and lower eGDR (p ≤ 0.001) compared to NS and PS. Significant difference was also detected between PS and NS in systolic and diastolic (p = 0.02) pressure and eGDR (p = 0.01). In a multivariable model adjusted for age, gender, BMI and physical activity, smoking habits did not maintain any independent association with metabolic parameters. Conclusion This is the first study in a Mediterranean population, looking at tobacco smoke and cardio-metabolic factors in youth with T1D. The relationship between smoking and unfavorable metabolic profile was demonstrated. On the basis of these findings, smoking tobacco should be considered an important modifiable risk factor for young patients with diabetes mellitus, highlighting the need for intensified smoking prevention and cessation programs