Association of collaborative care intervention features with depression and metabolic outcomes in the INDEPENDENT study: A mixed methods study.

Aims: The INtegrating DEPrEssioN and Diabetes treatmENT (INDEPENDENT) trial tested a collaborative care model including electronic clinical decision support (CDS) for treating diabetes and depression in India. We aimed to assess which features of this clinically and cost-effective intervention were associated with improvements in diabetes and depression measures.

Methods: Post-hoc analysis of the INDEPENDENT trial data (189 intervention participants) was conducted to determine each intervention feature's effect: 1.

The Impact of a Collaborative Care Model on Health Trajectories among Patients with Co-Morbid Depression and Diabetes: The INDEPENDENT Study.

Context: Collaborative care models for depression have been successful in a variety of settings, but their success may differ by patient engagement. We conducted a post-hoc analysis of the INDEPENDENT trial to investigate the role of differential engagement of participants on health outcomes over 3 years.

Settings And Design: INDEPENDENT study was a parallel, single-blinded, randomised clinical trial conducted at four socio-economically diverse clinics in India.

Adaptations and patient responses to behavioral intervention components in a depression-focused chronic disease care model implemented in India.

Integrated care models offer one approach to treat patients with chronic multimorbidity. However, because these models consist of multiple components designed to provide individualized care, they should be adapted to best meet the needs of patients in diverse settings. This paper presents qualitative and quantitative data from a realist process evaluation embedded in the INtegrating DEPrEssioN and Diabetes treatmENT (INDEPENDENT) study to uncover what worked, for whom, how, and in what circumstances.

Sleep, circadian dysrhythmia, obesity and diabetes.

Synchrony of biological processes with environmental cues developed over millennia to match growth, reproduction and senescence. This entails a complex interplay of genetic, metabolic, chemical, light, hormonal and hedonistic factors across life forms. Sleep is one of the most prominent rhythms where such a match is established.

In Silico Docking of HNF-1a Receptor Ligands.

Background. HNF-1a is a transcription factor that regulates glucose metabolism by expression in various tissues. Aim.

Proteomic analysis in diabetic cardiomyopathy using bioinformatics approach.

Diabetic cardiomyopathy is a distinct clinical entity that produces asymptomatic heart failure in diabetic patients without evidence of coronary artery disease and hypertension. Abnormalities in diabetic cardiomyopathy include: myocardial hypertrophy, impairment of contractile proteins, accumulation of extracellular matrix proteins, formation of advanced glycation end products, and decreased left ventricular compliance. These abnormalities lead to the most common clinical presentation of diabetic cardiomyopathy in the form of diastolic dysfunction.

Bioinformatics analysis of diabetic retinopathy using functional protein sequences.

Diabetic retinopathy is the leading cause of blindness among patients with diabetes mellitus. We evaluated the role of several proteins that are likely to be involved in diabetic retinopathy by employing multiple sequence alignment using ClustalW tool and constructed a phylogram tree using functional protein sequences extracted from NCBI. Phylogram was constructed using Neighbor-Joining Algorithm in bioinformatics approach.

Quality of care: assessment.

To translate science into clinical practice we must first assess the quality of care that is being delivered. The resulting information about qualitative and quantitative parameters can then be assessed. Ultimately insights can be obtained into improving the quality of care in diabetes mellitus.

Alzheimer's disease and type 2 diabetes mellitus: the cholinesterase connection?

Alzheimer's disease and type 2 diabetes mellitus tend to occur together. We sought to identify protein(s) common to both conditions that could suggest a possible unifying pathogenic role. Using human neuronal butyrylcholinesterase (AAH08396.