Consequences of delaying treatment intensification in type 2 diabetes: evidence from a UK database.

OBJECTIVE: Type 2 diabetes mellitus (TD2M) treatment focuses on achieving glycemic control, with HbA1c targeted at 6.5-7.5%. Clinicians commonly delay treatment intensification despite patients failing glycemic targets. This study evaluated longitudinal clinical and cost outcomes in patients failing metformin monotherapy using electronic medical records. RESEARCH DESIGN AND METHODS: Adults with incident T2DM were identified in the UK Clinical Practice Research Datalink (CPRD) from 1 January 2000 to 31 March 2014. Patients were initiated on metformin monotherapy but had not reached target (HbA1c <7%). Patients were grouped by time to intensification of second-line therapy from first recorded HbA1c ≥7%: Group A, rapid intensification within 365 days; Group B, delayed intensification days 366-1824; Group C, never intensified. Patients were followed from day 366 for 5 years until end of study, switch to insulin, migration or death. MAIN OUTCOME MEASURES: The study evaluated baseline clinical and medication characteristics which were re-evaluated each year, including HbA1c, weight, cholesterol and concomitant prescribing. RESULTS: A total of 6710 patients were included (Group A 2647, Group B 2452, Group C 1611). Group A achieved a significant decline in HbA1c at 1 year post-index date compared to Groups B and C (-1.13% Group A; +0.26% Group B, +0.16% Group C). A significantly higher proportion of patients achieved HbA1c target < 7% in Group A (Group A [45.8%]; Group B [19.1%], p < 0.0001). Using an adjusted hazard model, Group A was found to achieve the HbA1c target from the index date significantly faster than Group B (hazard ratio 3.25 [95% CI 2.87-3.69]). The most commonly prescribed second-line medications were sulfonylureas in Groups A and B throughout observation and were associated with significant weight gain (+1.3 kg per patient) in the adjusted models. CONCLUSIONS: Patients who were rapidly intensified achieved a maintained reduction in HbA1c faster than those with delayed intensification or no second-line therapy, despite a higher baseline HbA1c.

A blood-based, 7-metabolite signature for the early diagnosis of Alzheimer's disease.

Accurate blood-based biomarkers of Alzheimer's disease (AD) could constitute simple, inexpensive, and non-invasive tools for the early diagnosis and treatment of this devastating neurodegenerative disease. We sought to develop a robust AD biomarker panel by identifying alterations in plasma metabolites that persist throughout the continuum of AD pathophysiology. Using a multicenter, cross-sectional study design, we based our analysis on metabolites whose levels were altered both in AD patients and in patients with amnestic mild cognitive impairment (aMCI), the earliest identifiable stage of AD. UPLC coupled to mass spectrometry was used to independently compare the levels of 495 plasma metabolites in aMCI (n = 58) and AD (n = 100) patients with those of normal cognition controls (NC, n = 93). Metabolite alterations common to both aMCI and AD patients were used to generate a logistic regression model that accurately distinguished AD from NC patients. The final panel consisted of seven metabolites: three amino acids (glutamic acid, alanine, and aspartic acid), one non-esterified fatty acid (22:6n-3, DHA), one bile acid (deoxycholic acid), one phosphatidylethanolamine [PE(36:4)], and one sphingomyelin [SM(39:1)]. Detailed analysis ruled out the influence of potential confounding variables, including comorbidities and treatments, on each of the seven biomarkers. The final model accurately distinguished AD from NC patients (AUC, 0.918). Importantly, the model also distinguished aMCI from NC patients (AUC, 0.826), indicating its potential diagnostic utility in early disease stages. These findings describe a sensitive biomarker panel that may facilitate the specific detection of early-stage AD through the analysis of plasma samples.