Prevalence, risk factors, and management of uncontrolled hypertension among patients with diabetes: A hospital-based cross-sectional study.

AIMS: This research examines the prevalence of uncontrolled hypertension and associated risk factors among patients with diabetes in Saudi Arabia. METHODS: A hospital-based, cross-sectional study was used in patients with diabetes and hypertension attending outpatient diabetes clinics in King Khaled Hospital and Prince Sultan Center for Health Care in Al-Kharj, Riyadh. Patients' information, data on hypertension, type of treatment, and comorbidities were captured through electronic medical records. Uncontrolled hypertension was defined as blood pressure (BP) measurements greater than or equal to 140/90 mmHg. Antihypertensive medication use among these patients was analyzed. Multivariate analysis was performed to detect the associated factors of uncontrolled hypertension. RESULTS: Of 1178 outpatients‬ with diabetes who were included in the study sample, uncontrolled hypertension presented in 846 (71.8%). Most patients were on two antihypertensive medications, and the most frequently used was calcium channel blockers, followed by angiotensin-converting enzyme inhibitors. Individuals most likely to have uncontrolled hypertension were those older than 65 years (OR 1.99, 95%CI: 1.059, 3.77), male (OR = 1.51, 95%CI: 1.031, 2.22), and obese (OR = 2.39, 95%CI: 1.63, 3.504), with two (OR = 3.894, 95% CI: 2.481, 6.114) or three or more comorbidities (OR = 4.020, 95% CI: 2.510, 6.439), and with polypharmacy (OR = 1.814, 95% CI: 1.238, 2.656). CONCLUSION: The extent of uncontrolled hypertension among patients with diabetes in the study sample was found to be high. Age, sex, obesity, number of comorbidities, and polypharmacy are the most important correlates with increased risk of uncontrolled hypertension.

AUC- vs. Trough-Guided Monitoring of Vancomycin in Infants.

OBJECTIVE: Improving vancomycin therapy with therapeutic drug monitoring is recommended. Over the past few years, a few studies have demonstrated that trough concentrations may not be the optimal parameter for monitoring vancomycin concentration and Area under the curve (AUC) should be used instead. In this study authors evaluate two methods to estimate the AUC. The first method is based on linear regression using only a trough concentration. The second method uses a simplified two-sample equation-based strategy to estimate the AUC. METHODS: Data from 70 infant patients were collected retrospectively from their medical records at King Saud University Medical City. The prediction accuracy for vancomycin therapy monitoring was optimized by comparing the two methods for the AUC calculation, the simple linear regression and simplified two-sample equation-based strategy. RESULTS: The target AUC > 400 µg × h/ml was achieved in 10%, 71%, and 100% of patients with trough concentration ranges of 5-10, 10-15, and > 15 µg/ml, respectively. There was a strong correlation between the predicted and observed AUC calculated using the simplified two-sample equation-based strategy (R2 = 0.91, bias = -3.9%, precision =12%). CONCLUSIONS: The target AUC > 400 µg × h/ml can be achieved at trough concentrations <15 µg/ml in most patients. Targeting trough concentrations >15 can lead to overdoing and increase risk of nephrotoxicity. The authors recommend estimating the AUC using the simplified two-sample equation strategy for more precise dosing of vancomycin. Using AUC-guided dosing instead of the trough-guided approach can prevent over dosing and reduce the risk of nephrotoxicity.