Impact of Generalist Care Managers on Patients with Diabetes

Objective. To determine how the addition of generalist care managers and collaborative information technology to an ambulatory team affects the care of patients with diabetes.
Study Setting. Multiple ambulatory clinics within Intermountain Health Care (IHC), a large integrated delivery network.
Study Design. A retrospective cohort study comparing diabetic patients treated by generalist care managers with matched controls was completed. Exposure patients had one or more contacts with a care manager; controls were matched on utilization, demographics, testing, and baseline glucose control. Using role-specific information technology to support their efforts, care managers assessed patients' readiness for change, followed guidelines, and educated and motivated patients.
Data Collection. Patient data collected as part of an electronic patient record were combined with care manager-created databases to assess timely testing of glycosylated hemoglobin (HbA1c) and low-density lipoprotein (LDL) levels and changes in LDL and HbA1c levels.
Principal Findings. In a multivariable model, the odds of being overdue for testing for HbA1c decreased by 21 percent in the exposure group ( n =1,185) versus the control group ( n =4,740). The odds of being tested when overdue for HbA1c or LDL increased by 49 and 26 percent, respectively, and the odds of HbA1c <7.0 percent also increased by 19 percent in the exposure group. The average HbA1c levels decreased more in the exposure group than in the controls. The effect on LDL was not significant.
Conclusions. Generalist care managers using computer-supported diabetes management helped increase adherence to guidelines for testing and control of HbA1c levels, leading to improved health status of patients with diabetes.     

CHRNB3 is more strongly associated with Fagerström Test for Cigarette Dependence-based nicotine dependence than cigarettes per day: phenotype definition changes genome-wide association studies results

AIMS: Nicotine dependence is a highly heritable disorder associated with severe medical morbidity and mortality. Recent meta-analyses have found novel genetic loci associated with cigarettes per day (CPD), a proxy for nicotine dependence. The aim of this paper is to evaluate the importance of phenotype definition (i.e. CPD versus Fagerstr?m Test for Cigarette Dependence (FTCD) score as a measure of nicotine dependence) on genome-wide association studies of nicotine dependence. DESIGN: Genome-wide association study. SETTING: Community sample. PARTICIPANTS: A total of 3365 subjects who had smoked at least one cigarette were selected from the Study of Addiction: Genetics and Environment (SAGE). Of the participants, 2267 were European Americans, 999 were African Americans. MEASUREMENTS: Nicotine dependence defined by FTCD score ≥4, CPD. FINDINGS: The genetic locus most strongly associated with nicotine dependence was rs1451240 on chromosome 8 in the region of CHRNB3 [odds ratio (OR)?=?0.65, P?=?2.4?×?10(-8) ]. This association was further strengthened in a meta-analysis with a previously published data set (combined P?=?6.7?×?10(-16) , total n?=?4200). When CPD was used as an alternate phenotype, the association no longer reached genome-wide significance (β?=?-0.08, P?=?0.0004). CONCLUSIONS: Daily cigarette consumption and the Fagerstrom Test for Cigarette Dependence show different associations with polymorphisms in genetic loci.     

Starch digestibility modulation significantly improves glycemic variability in type 2 diabetic subjects: A pilot study

Background and aimsIn type 2 diabetes (T2D) patients, the reduction of glycemic variability and postprandial glucose excursions is essential to limit diabetes complications, beyond HbA1c level. This study aimed at determining whether increasing the content of Slowly Digestible Starch (SDS) in T2D patients’ diet could reduce postprandial hyperglycemia and glycemic variability compared with a conventional low-SDS diet.Methods and resultsFor this randomized cross-over pilot study, 8 subjects with T2D consumed a controlled diet for one week, containing starchy products high or low in SDS. Glycemic variability parameters were evaluated using a Continuous Glucose Monitoring System.Glycemic variability was significantly lower during High-SDS diet compared to Low-SDS diet for MAGE (Mean Amplitude of Glycemic Excursions, p < 0.01), SD (Standard Deviation, p < 0.05), and CV (Coefficient of Variation, p < 0.01). The TIR (Time In Range) [140–180 mg/dL[ was significantly higher during High-SDS diet (p < 0.0001) whereas TIRs ≥180 mg/dL were significantly lower during High-SDS diet. Post-meals tAUC (total Area Under the Curve) were significantly lower during High-SDS diet.ConclusionOne week of High-SDS Diet in T2D patients significantly improves glycemic variability and reduces postprandial glycemic excursions. Modulation of starch digestibility in the diet could be used as a simple nutritional tool in T2D patients to improve daily glycemic control.Registration numberin clinicaltrials.gov: NCT 03289494.     

Relationship between WAIS-R vocabulary and performance on the california verbal learning test

Abstract

Eighty-two normal subjects, aged 16 to 95, were administered the California Verbal Learning Test, and the WAIS-R Vocabulary subtest. A set of hierarchical multiple regression equations (with age entered on the first step and Vocabulary on the second step) were calculated for CVLT performance variables. Significant incremental gains in R² (p < .01) were found between Vocabulary scores and most CVLT recall variables. Education, in spite of having a significant correlation with Vocabulary, was a poor predictor of CVLT performance. Results indicated that age and Vocabulary together accounted for up to 31% of the variance in select CVLT performance variables; Vocabulary alone accounted for up to 13% of additional variance in select CVLT scores beyond the effects of age. Norms based on vocabulary scores or a similar estimate of verbal IQ may increase this test's sensitivity.