Assessment of simple strategies for identifying undiagnosed diabetes and prediabetes in the general population.

BACKGROUND AND AIMS: The rising tide of diabetes mellitus (DM) and prediabetes (PDM) is urgently calling for strategies easily applicable to anticipate diagnosis. We assessed the effectiveness of random capillary blood glucose (RCBG), administration of a validated DM risk questionnaire, or the combination of both. MATERIALS AND METHODS: RCBG measurement and/or questionnaire administration were offered to all individuals presenting at gazebos organized during the World Diabetes Day or similar public initiatives on diabetes awareness. Subjects with suspicious DM or PDM were invited to the Diabetes Center (DC) for laboratory confirmation (fasting plasma glucose and HbA1c). RESULTS: Among 8563 individuals without known diabetes undergoing RCBG measurement, 341 (4%) had suspicious values. Diagnosis of DM was confirmed in 36 (41.9%) of the 86 subjects who came to the DC and PDM was found in 40 (46.5%). Among 3351 subjects to whom the questionnaire was administered, 480 (14.3%) had suspicious scores. Diagnosis of DM was confirmed in 40 (10.1%) of the 397 who came to the DC and PDM was found in 214 (53.9%). These 3351 subjects also had RCBG measurement and 30 out of them had both tests positive. Among them, 27 subjects came to DC and DM was diagnosed in 17 (63.0%) and PDM was found in 9 (33.3%). CONCLUSIONS: These data suggest that RCBG definitely outperforms the questionnaire to identify unknown DM and PDM. RCBG measurement, with questionnaire as an adjunctive tool, appears to be a simple, fast, and feasible opportunistic strategy in detecting undiagnosed DM and PDM.

A comparison between MALDI-MS and CE-MS data for biomarker assessment in chronic kidney diseases.

Non-invasive detection of diseases, based on urinary proteomics, is becoming an increasingly important area of research, especially in the area of chronic kidney disease (CKD). Different platforms have been used in independent studies, mostly capillary-electrophoresis coupled ESI-MS (CE-MS), liquid chromatography coupled mass spectrometry, and matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS). We have compared the performance of CE-MS with MALDI-MS in detecting CKD, based on a cohort of 137 urine samples (62 cases and 75 controls). Data cross-talk between the two platforms was established for the comparison of detected biomarkers. The results demonstrate superior performance of the CE-MS approach in terms of peptide resolution and obtained disease prediction accuracy rates. However, the data also demonstrate the ability of the MALDI-MS approach to separate CKD patients from controls, at slightly reduced accuracy, but expected reduced cost and time. As a consequence, a practical approach can be foreseen where MALDI-MS is employed as an inexpensive, fast, and robust screening tool to detect probable CKD. In a second step, high resolution CE-MS could be used in those patients only that scored negative for CKD in the MALDI-MS analysis, reducing costs and time of such a program.

Clinical and socio-economic correlates of quality of life and treatment satisfaction in patients with type 2 diabetes.

BACKGROUND AND AIM: The aim of the present study was to assess health-related quality of life (HRQOL) and treatment satisfaction in a large, ambulatory based sample of patients with type 2 diabetes. In particular, we evaluated a large array of socio-economic, clinical, and management-related factors, to investigate the extent to which they correlate with physical and psychological well-being, and with treatment satisfaction. METHODS AND RESULTS: Patients were requested to fill in a questionnaire including the SF-36 Health Survey (SF-36), the WHO-Well Being Questionnaire (WBQ), and the WHO-Diabetes Treatment Satisfaction Questionnaire (DTSQ). The analyses were based on multivariate analyses, adjusted for patient clinical and socio-demographic characteristics. The study involved 2499 patients, enrolled in 203 diabetes outpatient clinics. Female gender and diabetes complications were associated with worse physical and psychological well-being, while socioeconomic variables were mainly related to general well-being. The perceived frequency of hyperglycemic episodes was negatively associated with all the dimensions explored. Treatment satisfaction was inversely related to female gender, insulin treatment, perceived frequency of hyperglycemic episodes and diabetes complications. Blood glucose self-monitoring, and among patients treated with insulin, self-management of insulin doses and the use of pen for insulin injections, were associated with higher levels of satisfaction. Finally, higher levels of satisfaction were associated with a better perception of physical and psychological well-being. CONCLUSIONS: Health related quality of life and treatment satisfaction are associated with each other and are both affected by a complex interplay between clinical and socio-economic variables. Some negative aspects, mainly associated with insulin treatment and poor perceived metabolic control, can be attenuated by a deeper involvement of the patients in the management of the disease.