Purpose To estimate the ratio α/β of Prostate Cancer from the effect of dose of radiation on the long term rise of prostate specific antigen (PSA). Materials and methods Repeated measures of PSA from 5,093 patients treated for localized prostate cancer by external beam radiation therapy (EBRT) were analysed. Patients came from 6 large cohorts. A biphasic linear mixed model described the post-treatment evolution of PSA. The effect of the radiation dose schedule on the long term rate of rise of PSA was estimated from the model. The model adjusted for standard prognostic factors (T-stage, initial PSA and Gleason) and cohort specific effects. Results Adjusted for other factors, total dose of EBRT and sum of squared doses per fraction were associated with long term rate of change of PSA (respectively p=0.0017 and p=0.0003), an increase of each being associated with a lower rate of rise. The ratio α/β was estimated at 1.55 Gy with 95% confidence interval [0.46;4.52]. This estimate was robust to adjustment of the linear mixed model but varied according to which cohorts were included, especially the one bringing hypofractioned schemes. Conclusions Using more than 5,000 patients treated by EBRT and a method that accounts for all the repeated measures of PSA after end of treatment rather than only the time of biochemical recurrence, a very low and precise value for α/β was estimated. This result favors hypofractionated radiation therapy that could better control the tumor with a reduced late toxicity. However outcome data from EBRT studies using higher doses per fraction are still needed to validate this result.
Background Integrase strand transfer inhibitors (INSTIs) are increasingly used in patients living with HIV due to their safety, effectiveness and high genetic barrier. However, an association with weight gain has recently been suggested and several cases of diabetes mellitus have been reported with raltegravir and dolutegravir. The long-time metabolic impact of these recent molecules remains unclear. Objectives To assess if an INSTI as a third agent is statistically associated with new-onset diabetes mellitus compared with an NNRTI or a PI. Patients and methods Patients undergoing first-line combined ART (cART) without diabetes at baseline were retrospectively included from the Dat’AIDS French cohort study (ClinicalTrials.gov NCT02898987). Incident diabetes mellitus was defined as a notification of new diabetes in the medical history, a glycated haemoglobin (HbA1c) level superior to 7.5% or the start of a diabetes therapy following the initiation of ART. Results From 2009 to 2017, 19 462 patients were included, among which 265 cases of diabetes mellitus occurred. Multivariate and survival analyses did not highlight an increase in new-onset diabetes in patients undergoing cART with an INSTI as a third agent compared with an NNRTI or a PI. BMI >30 kg/m2, age >37 years old (in survival analysis), black race or Hispanic ethnicity, arterial hypertension and AIDS were associated with a higher proportion of incident diabetes. Conclusions INSTIs were not statistically associated with new-onset diabetes. However, clinicians should remain aware of this possible metabolic comorbidity, particularly in patients with a high BMI and older patients.
Aims Polypharmacy increase the risk of drug–drug interactions (DDIs) in the elderly population living with human immunodeficiency virus (HIV). Several expert databases can be used to evaluate DDIs. The aim of the study was to describe actual DDIs between antiretroviral drugs and comedications in an elderly population and to compare grading of the DDIs in 3 databases. Methods All treatments of HIV‐infected subjects aged 65 years and older were collected in 6 French HIV centres. Summary of Product Characteristic (SPC), French DDI Thesaurus (THES), and Liverpool HIV DDI website (LIV) were used to define each DDI and specific grade. DDIs were classified in yellow flag interaction (undefined grade in SPC and THES or potential weak interaction in LIV), amber flag interaction (to be considered/precaution of use in SPC and THES and potential interaction in LIV) and red flag interaction (not recommended/contraindication in SPC and THES and do not administer/contraindication in LIV). Results Among 239 subjects included, 60 (25.1%) had at least 1 DDI for a total of 126 DDIs: 23/126 red flag DDIs were identified in 17 patients. All these 23 DDIs were identified in LIV. THES and SPC missed 6 and 1 red flag DDIs, respectively. Seven of 23 red flag DDIs were identified in the 3 databases concomitantly. Conclusion Polypharmacy is frequent in this elderly HIV population leading to DDI in a quarter of the subjects. The discrepancies between databases can be explained by differences in analysis methods. A consensus between databases would be helpful for clinicians.
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