We analyzed serum 25(OH) cholecalciferol [25(OH)D] levels and factors related to deficiency (<20 ng/ml) or insufficiency (<30 ng/ml) in a cohort of Spanish HIV-infected patients and compared them with an age- and latitude-matched population from another study. We prospectively assessed 25(OH)D deficiency/insufficiency in a cohort of 352 HIV patients during 2009-2010. Predisposing factors were recorded and their relationship to low levels was assessed by logistic regression; a nutritional survey examined intake, nutritional status, and sunlight exposure in a subgroup of 92 patients. We studied the correlation of 25(OH)D with parathyroid hormone (PTH) and alkaline phosphatase. Age-, sex-, and race/ethnicity-adjusted vitamin D deficiency (<20 ng/ml) was 44.0% (95% CI, 38.8-49.4%) and insufficiency (<30 ng/ml) was 71.6% (95% CI, 66.9-76.3). Deficiency was 16.4% more prevalent in our sample than in non-HIV-infected Spaniards. Lower sunlight exposure was the only factor related to lower levels in the lifestyle and nutritional survey (p=0.045). In multiple logistic regression, higher body mass index (BMI), black race/ethnicity, lower seasonal sunlight exposure, men who have sex with men (MSM), and heterosexual transmission categories, efavirenz exposure and lack of HIV viral suppression were independently associated with deficiency/insufficiency. These variables predicted 79% of cases [AUC=0.872 (95% CI, 0.83-0.91)]. Patients receiving protease inhibitors (PIs) [OR 4.0 (95% CI, 1.3-12.3); p=0.014] or NNRTI [OR 3.6 (95% CI, 1.7-11.2); p=0.025] had higher odds of increased PTH levels; this was significant only in 25(OH)D-deficient patients (p=0.004). As in less insolated areas, the prevalence of vitamin D deficiency/insufficiency was high in HIV-infected patients in Spain; among treated patients, levels were higher with PIs than with efavirenz.

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ObjectivesSeveral studies have involved antiretroviral therapy in the pathogenesis of low bone mineral density (BMD), while others have not confirmed this association. In this study we analyze the impact of HIV status, traditional risk factors and antiretroviral therapy in BMD in an HIV-infected population living in Madrid.Material and methodsWe performed a cross-sectional analysis of 107 individuals infected with HIV and exposed to antiretroviral treatment to estimate the prevalence of decreased BMD. Bone mineral density of lumbar spine and femoral neck was measured by dual-energy X-ray absorptiometry. In a multivariate analysis variables related with HIV status, antiretroviral drugs and traditional risk factors were included.ResultsLow BMD was diagnosed in 63 participants (58.9%), including osteoporosis in 11 (10%). At least one cause of osteoporosis was identified in 43 patients (40%), with a deficiency of vitamin D in 86 (89%) and secondary hyperparathyroidism in 30 (28%). In multivariate analysis, increasing age, a treatment based on boosted PI and tenofovir DF, and previous exposure to tenofovir were identified as independent risk factors for a decreased BMD in both lumbar spine and femoral neck.ConclusionsWe have confirmed a high prevalence of reduced BMD, which is favoured by ritonavir-boosted PI and TDF. Bone safety should continue to be evaluated in clinical trials and cohort studies in order to demonstrate that the new drugs offer additional advantages regarding the impact on BMD.

Bipolar disorder is a highly recurrent disease which requires long-term treatment. Dropout is a major problem, poorly understood. The objectives of this study were to know the risk of dropout of a cohort of bipolar patients under ambulatory treatment and to identify the clinical profile of patients more likely to abandon the follow-up. A sample of 285 BD I and II patients was followed up for a mean of 2.87 years. A significant proportion of patients failed regular follow-up. The dropout rates were 6.3 % at three months, 12.7 % at 6 months, and 17.6, 27.2, 37.3, 44.0, 47.2 and 49.0 % at 1, 2, 3, 4, 5 and 6 years respectively. Very few variables at baseline predicted dropout. Patients under 35 years of age were more likely to dropout than older cases. Seasonality, smoking and specially history of poor treatment compliance were strong predictors of dropout. Given the magnitude of dropout, additional early clinical interventions should be considered for high-risk patients.

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