Aortic Intima-Media Thickness and Mean Platelet Volume in Children With Type 1 Diabetes Mellitus

Background: Diabetes mellitus type 1 is the most common endocrine metabolic disorder occurring in childhood and adolescence due to the autoimmune destruction of pancreatic beta cells as a result of various environmental factors interacting with an underlying genetic predisposition. Diabetes is a risk factor for early onset atherosclerosis, and the high mortality rate seen in these patients is partially related to cardiovascular diseases. Objectives: This study was conducted to compare mean platelet volume as a marker of early atherosclerosis with aortic intima-media thickness in children with type 1 diabetes and to identify its correlation with known cardiovascular risk factors. Patients and Methods: The study included 27 patients between age range of 6 and 17 years that were diagnosed with type 1 diabetes and 30 healthy children of the same age range who did not have any chronic disease. In both groups, we used the color Doppler ultrasound to measure children’s aortic intima-media thickness and identify their mean platelet volumes. Results: There was no significant difference between the groups regarding gender distribution, age, High-Density Lipoprotein (HDL) and Low-Density Lipoprotein (LDL) cholesterol levels (P > 0.05). Also no significant difference could be documented between the patient and control groups regarding the aortic intima-media thickness and mean platelet volume (P > 0.05). However, there was a significant correlation between aortic intima-media thickness and mean platelet volume (r = 0.351; P < 0.05). Conclusions: In the present study, there was no evidence of early atherosclerosis in children with type 1 diabetes. However, mean platelet volume having a significant correlation with aortic intima-media thickness may be useful as an early marker of atherosclerosis.

Assessment of laboratory test utilization for HIV/AIDS care in urban ART clinics of Lilongwe, Malawi

Background The 2011 Malawi HIV guidelines promote CD4 monitoring for pre-ART assessment and considering HIVRNA monitoring for ART response assessment, while some clinics used CD4 for both. We assessed clinical ordering practices as compared to guidelines, and determined whether the samples were successfully and promptly processed. Methods We conducted a retrospective review of all patients seen in from August 2010 through July 2011,, in two urban HIV-care clinics that utilized 6-monthly CD4 monitoring regardless of ART status. We calculated the percentage of patients on whom clinicians ordered CD4 or HIVRNA analysis. For all samples sent, we determined rates of successful labprocessing, and mean time to returned results. Results Of 20581 patients seen, 8029 (39%) had at least one blood draw for CD4 count. Among pre-ART patients, 2668/2844 (93.8%) had CD4 counts performed for eligibility. Of all CD4 samples sent, 8082/9207 (89%) samples were successfully processed. Of those, mean time to processing was 1.6 days (s.d 1.5) but mean time to results being available to clinician was 9.3 days (s.d. 3.7). Regarding HIVRNA, 172 patients of 17737 on ART had a blood draw and only 118/213 (55%) samples were successfully processed. Mean processing time was 39.5 days (s.d. 21.7); mean time to results being available to clinician was 43.1 days (s.d. 25.1). During the one-year evaluated, there were multiple lapses in processing HIVRNA samples for up to 2 months. Conclusions Clinicians underutilize CD4 and HIVRNA as monitoring tools in HIV care. Laboratory processing failures and turnaround times are unacceptably high for viral load analysis. Alternative strategies need to be considered in order to meet laboratory monitoring needs.