METHODS: A total of 220 T2DM patients from the University of Malaya Medical Centre, Malaysia, who had at least one CV complication and who had been taking at least one antidiabetic drug for at least 3 months, were included. The associations of antidiabetics, cardiovascular diseases, laboratory parameters, concurrent medications, comorbidities, demographics, and clinical characteristics with glycemic control were investigated.
RESULTS: Sulfonylureas in combination (P=0.002) and sulfonylurea monotherapy (P<0.001) were found to be associated with good glycemic control, whereas insulin in combination (P=0.051), and combination biguanides and insulin therapy (P=0.012) were found to be associated with poor glycemic control. Stroke (P=0.044) was the only type of CVD that seemed to be significantly associated with good glycemic control. Other factors such as benign prostatic hyperplasia (P=0.026), elderly patients (P=0.018), low-density lipoprotein cholesterol levels (P=0.021), and fasting plasma glucose (P<0.001) were found to be significantly correlated with good glycemic control.
CONCLUSION: Individualized treatment in T2DM patients with CVDs can be supported through a better understanding of the association between glycemic control and CV profiles in T2DM patients.
MATERIALS AND METHODS: Eight hundred and twenty-eight subjects (404 PD patients, and 424 age and gender-matched control subjects without neurological disorders) were recruited. Genotyping was done by Taqman® allelic discrimination assay on an Applied Biosystems 7500 Fast Real-Time PCR machine.
RESULTS: The heterozygous A419V genotype was found in only 1 patient with PD, compared to 3 in the control group (0.4% vs 1.3%), giving an odds ratio of 0.35 (95% confidence interval (CI), 0.01 to 3.79; P = 0.624).
CONCLUSION: A419V is not an important LRRK2 risk variant in our Asian cohort of patients with PD. Our data are further supported by a literature review which showed that 4 out of 6 published studies reported a negative association of this variant in PD.
METHODS: This cross-sectional study included data from 344 older (173 inpatients and 171 outpatients) patients, aged 60 years and above, through validated questionnaires. Medication appropriateness was assessed via Medication Appropriateness Index (MAI) tool, whereas Beers and Screening Tool of Older Person's Potentially Inappropriate Prescribing (STOPP) criteria were used to evaluate PIMs and potentially inappropriate prescribing (PIP), respectively. The Drug Burden Index (DBI) and polypharmacy, as well as PROs, included Groningen Frailty Indicator (GFI), Katz Index of Independence in Activities of Daily Living (Katz ADL) and Older People's Quality of Life (OPQOL) were also evaluated.
RESULTS: Overall, inpatients received significantly higher medications (6.90 ± 2.70 vs 4.49 ± 3.20) than outpatients. A significantly higher proportion of inpatients received at least one PIM (65% vs 57%) or PIP (57.4% vs 17.0%) and higher mean MAI score (1.76 ± 1.08 and 1.10 ± 0.34) and DBI score (2.67 ± 1.28 vs 1.49 ± 1.17) than outpatients. Inpatients had significantly higher total OPQOL (118.53 vs 79.95) and GFI score (5.44 vs 3.78) than outpatients. We only found significant correlations between GFI and DBI and total OPQOL and the number of PIMs.
CONCLUSIONS: Proportions of PIMs and DBI exposure were significantly higher in an inpatient setting. No significant correlations between exposures to inappropriate medications or drug burden and PROs were observed.
Materials and Methods: A total of 149 and 150 patients were randomized to intervention and usual care (control) groups, respectively. A 12-month task-shifting (nurse-driven) HBFC intervention was administered to intervention group. The mid-term impact of intervention on HRQoL was assessed after 6 months intervention. Data were analyzed with intention-to-treat principle. Treatment effects were measured with the t-tests, analysis of covariance, and multivariate analysis of covariance analysis. Significant levels were set at P < 0.05 and 95% confidence interval.
Results: The between-group treatment effect was not statistically significant (P > 0.05), whereas the within-group treatment effects were statistically significant for both the intervention and control arms (P < 0.05) at 6 months. After controlling for age and baseline HRQoL, the intervention group had an improved physical component of HRQoL than the control group. The intervention group also had statistically significant improvement in blood pressure control, medication adherence, and symptom counts (P < 0.05).
Conclusion: The HBFC intervention for hypertensive patients impacted positively on physical component of HRQoL after controlling for baseline HRQoL and age of the patients at 6 months post-intervention.