Cardiovascular Risk Prediction Models in People Living with HIV in Colombia.

BACKGROUND: People living with HIV are at increased risk of cardiovascular disease. Cardiovascular risk (CVR) prediction scores are powerful tools for individualized assessment that inform decision-making about follow-up frequency, hypolipemiant treatment intensification, and choice antiretroviral therapy. OBJECTIVES: The objectives of the study were to evaluate the performance of multiple cardiovascular assessment scores in predicting major adverse cardiovascular events (MACE) at 5 and 10 years. Framingham (2004, 2008, and Colombia-adjusted), SCORE, PROCAM, ASCVD, and D:A:D scores were included in the analysis. METHODS: Data were obtained from a medical registry of adults living with HIV attended by a teaching hospital in Colombia. All patients with complete information necessary for risk score calculations and determination of MACE at 5 and 10 years were included in the study. Receiver operating characteristic curves (ROC) were generated using calculations with all the aforementioned models for every individual. Differences between curves were compared with De- Long's test. RESULTS: A total of 808 patients were included in the analysis. Mean age was 35 years, and 12% were female. The majority of subjects had low and very low CVR. Eight MACE occurred during follow-up. Area under ROC curves were: Framingham (0.90), Framingham ATP3 (0.92), Framingham calibrated for Colombia (0.90), SCORE (0.92), PROCAM (0.92), ASCVD (0.89), and D:A:D (0.92), with no statistically significant differences. CONCLUSIONS: The evaluated scores had an acceptable performance for HIV-infected patients in the studied cohort, especially for those in low and very low risk categories.

Opioid disposal rates after spine surgery.

BACKGROUND: Diversion of prescription opioids pills is a significant contributor to opioid misuse and the opioid epidemic. The goal of this study was to determine the frequency and quantity of excess opioid pills among patients undergoing spine surgery. Further, we wanted to determine the frequency of appropriate opioid disposal. METHODS: This was a prospective cohort study of patients undergoing elective spine surgery within a multi-hospital, academic, urban university health system enrolled in a text-messaging program used to track postoperative opioid disposal. Patients who self-reported discontinuation of opioid use but with leftover pills were contacted via telephone and surveyed on opioid disposal. RESULTS: Of the 291 patients who enrolled in the text-messaging program, 192 (66%) patients reported discontinuing opioids within 3 months of surgery. Although 76 (40%) reported excess opioid pills after cessation of use, only 47 (62%) participated in the telephone survey regarding opioid disposal. The median number of leftover pills among these 47 patients was 5 (5, 15) and 64% had not disposed of their prescription. CONCLUSION: Among the 47 telephone survey participants, a persistent gap remained in postoperative opioid excess and improper disposal. Future efforts must focus on initiatives to improve opioid disposal rates to reduce the quantity of opioids at risk for diversion and to reduce excess prescribing.