Diabetes mellitus constitutes a major health problem and its clinical presentation and progression may vary considerably. A number of standardized diagnostic and monitoring tests are currently used for diabetes. They are based on measuring either plasma glucose, glycated haemoglobin or both. Their main goal is to assess the average blood glucose concentration. There are several sources of interference that can lead to discordances between measured plasma glucose and glycated haemoglobin levels. These include haemoglobinopathies, conditions associated with increased red blood cell turnover or the administration of some therapies, to name a few. Therefore, there is a need to provide new diagnostic tools for diabetes that employ clinically accessible biomarkers which, at the same time, can offer additional information allowing us to detect possible conflicting cases and to yield more reliable evaluations of the average blood glucose level concentration. We put forward a biomathematical model to describe the kinetics of two patient-specific glycaemic biomarkers to track the emergence and evolution of diabetes: glycated haemoglobin and its labile fraction. Our method incorporates erythrocyte age distribution and utilizes a large cohort of clinical data from blood tests to support its usefulness for diabetes monitoring.
We aimed to evaluate the experience of patients with type 2 diabetes (T2DM) with healthcare received in Spain. This was a retrospective, observational study in patients with T2DM cared for in primary healthcare (PHC) centers. A cross-sectional analysis of the patients’ experience data was performed using the Instrument for the Evaluation of the Experience of Chronic Patients (IEXPAC). A total of 475 patients with T2DM were recruited from 36 PHC centers, of which 248 (52.2%) completed the IEXPAC questionnaire. The IEXPAC total mean score (range 0–10) was 7 points, with an average “new relational model” score of 2.5 points. The mean continuity of care score after hospital discharge was 6.2 points. The results showed that 8% of the patients always or almost always used the internet to check their medical history, appointments or other data from their healthcare service, and 15% responded that healthcare professionals always or almost always informed them of forums or other reliable internet sites to obtain information about their illness. The study results show that there is a wide margin for improvement in the experience of patients with T2DM with healthcare in Spain, especially regarding the information patients receive or can obtain.
Introduction
Studies on treatment adherence to glucose‐lowering drugs among patients with type 2 diabetes (T2D) including concomitant treatment for other cardiovascular risk factors are scarce. We aimed to estimate the prevalence of good adherence to all medications used to control diabetes, hypertension and dyslipidemia and to analyse cardiometabolic control and its associated factors in T2D patients in the primary care (PC) setting.
Methods
Observational, retrospective study conducted in adult patients with T2D who were followed in the PC setting in Spain. Patients were classified as adherent in a particular category if the summary of the proportion of days covered (PDC) for a particular medication category was ≥80% and were considered globally adherent if the PDC was ≥80% for each of the 3 medication categories.
Results
A total of 457 evaluable patients were recruited, among which 321 patients (70.3%, 95% CI 65.8 to 74.4) were adherent to the three drug categories. The proportion of patients controlled for the 3 cardiometabolic risk factors was 31% according to the contemporary clinical practice guideline criteria, 58% according to investigator judgment and 36% when the objective for HbA1c was individualized. In a multivariate analysis, presenting comorbidities was associated with a lower likelihood of showing adequate control of dyslipidemia (odds ratio [OR] 0.25, 95% CI, 0.16–0.40) and the three cardiometabolic factors as a whole (OR 0.43, 95% CI 0.26–0.70). In a post hoc analysis, therapeutic inertia was found to be greater for dyslipidemia and hypertension than for T2D.
Conclusions
Despite a relatively high adherence to all medications for treating diabetes, hypertension and dyslipidemia in patients with T2D in the PC setting in Spain, the control of cardiometabolic risk factors as a whole is far from optimal. This could be related, at least in part, to the high frequency of comorbidity of these patients.
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