ABSTRACT Objective: To evaluate the introduction of coaching in the interdisciplinary care of individuals with type 1 diabetes mellitus in the public health care system. Subjects and methods: Ten patients routinely attending a public health care service and with a glycated hemoglobin (HbA1c) level above 75% participated in eight coaching sessions. This study evaluated the patients' self-management of the disease and personal behavior. The participants were assessed at the beginning of the program and on two occasions after the intervention, with evaluation of biochemical and anthropometric data, and frequency of self-monitoring of blood glucose (SMBG). Questionnaires were applied during these evaluations to analyze emotional burden (B-PAID), medication adherence (Morisky Adherence Scale), and self-efficacy (IMDSES). Results HbA1c had a median level of 8.0% (range 76-10.3%) at the beginning of the study and reduced significantly 3 months after initiation of the intervention (7.78% [6.5-10%], p = 0.028), with no significant increase at 6 months (8.3% [713-9.27%], p = 0.386). SMBG improved significantly from the beginning to the end of the study, with the median number of glucose tests per week varying from 16.5 (range 0-42) at baseline to 29.0 (7-42) at 3 months and 27.5 (10-48) at 6 months (p = 0.047). No significant differences were observed in anthropometric parameters or in the scores of the instruments between the three measurements. Conclusion: A coaching intervention focused on patients' values and sense of purpose may provide added benefit to traditional diabetes education programs and could be an auxiliary method to help individuals with type 1 diabetes achieve their treatment goals.

ABSTRACT Objective This study aimed to evaluate the association between different renal biomarkers with D-Dimer levels in diabetes mellitus (DM1) patients group classified as: low D-Dimer levels (< 318 ng/mL), which included first and second D-Dimer tertiles, and high D-Dimer levels (≥ 318 ng/mL), which included third D-Dimer tertile. Materials and methods D-Dimer and cystatin C were measured by ELISA. Creatinine and urea were determined by enzymatic method. Estimated glomerular filtration rate (eGFR) was calculated using CKD-EPI equation. Albuminuria was assessed by immunoturbidimetry. Presence of renal disease was evaluated using each renal biomarker: creatinine, urea, cystatin C, eGFR and albuminuria. Bivariate logistic regression analysis was performed to assess which renal biomarkers are associated with high D-Dimer levels and odds ratio was calculated. After, multivariate logistic regression analysis was performed to assess which renal biomarkers are associated with high D-Dimer levels (after adjusting for sex and age) and odds ratio was calculated. Results Cystatin C presented a better association [OR of 9.8 (3.8–25.5)] with high D-Dimer levels than albuminuria, creatinine, eGFR and urea [OR of 5.3 (2.2–12.9), 8.4 (2.5–25.4), 9.1 (2.6–31.4) and 3.5 (1.4–8.4), respectively] after adjusting for sex and age. All biomarkers showed a good association with D-Dimer levels, and consequently, with hypercoagulability status, and cystatin C showed the best association among them. Conclusion Therefore, cystatin C might be useful to detect patients with incipient diabetic kidney disease that present an increased risk of cardiovascular disease, contributing to an early adoption of reno and cardioprotective therapies.

ABSTRACT Objective Several formulas based in different biomarkers may be used to estimate glomerular filtration rate (GRF). However, all of them have some limitations, and it is very important to evaluate their performances in different groups of patients. Therefore, we compared GFR, as estimated by creatinine-based and cystatin C-based equations, according to albuminuria, in type 1 diabetes (T1DM), in an observational case-control study. Subjects and methods T1DM patients were classified according to albuminuria: normoalbuminuric (n = 63), microalbuminuric (n = 30), macroalbuminuric (n = 32). GFR was calculated using creatinine-based and cystatin C-based (aMDRD, CKD-EPIcr, CKD-EPIcys, MacIsaac, Tan and CKD-EPIcrcys) equations. Spearman Correlation was used to evaluate the correlation of GFR estimated by the formulas with albuminuria. ROC curves were constructed to compare AUCs of GFR estimated by equations, in reference to macroalbuminuria. Sensibility, specificity and accuracy were calculated for a cut-off < 60 mL/min/1.73 m2. Results GFR estimated by creatinine-based and cystatin C-based equations significantly differed among normoalbuminuric, microalbuminuric and macroalbuminuric patients. Spearman correlation and AUCs of GFR estimated by creatinine-based and cystatin C-based formulas were very similar to each other, though cystatin C-based equations presented better correlation with albuminuria and higher AUCs than the creatinine-based ones, and the best accuracy to detect macroalbuminuric patients. Conclusion Although GFR estimated by all creatinine-based and cystatin C-based equations permitted the differentiation between T1DM patients, according to albuminuria, cystatin C-based equations presented best accuracy to detect macroalbuminuria in T1DM patients and should be considered in the clinical routine in order to increase the possibility of early diagnostic of chronic renal disease.