Loss to follow up from isoniazid preventive therapy among adults attending HIV voluntary counseling and testing sites in Uganda.

Among HIV-infected adults attending non-governmental organization voluntary counseling and testing (VCT) sites in Uganda that provide a nine-month course of isoniazid preventive treatment (IPT), we report on loss to follow-up (LTFU) and its associated risk factors. The design was a retrospective cohort study of program data spanning a three year period (2006-2008). A total of 586 IPT patients were enrolled of whom 335 (57.1%) were females with a mean age of 34 years. Of those starting IPT, 341 (58.1%) were lost to follow-up, 197 (33.6%) completed IPT, 29 (4.9%) were discontinued and 19 (3.2%) died. The return rates at one, three, five and seven months were 78.0% (457), 62.1% (364), 52.9% (310) and 33.6% (197) respectively. Being less than 30 years of age, widowed, separated, or divorced were found to be associated with a higher risk of loss to follow-up. Sudden improvement in retention on IPT was observed between the years 2006 and 2007, although causes of the improvement are poorly understood hence the need for more research. At non-governmental VCT sites in Uganda, six out of ten individuals enrolled on IPT are lost to follow-up and efforts to reduce this attrition including systems strengthening might play a critical role in the success of IPT programs

The ASOS Surgical Risk Calculator: development and validation of a tool for identifying African surgical patients at risk of severe postoperative complications

Background: The African Surgical Outcomes Study (ASOS) showed that surgical patients in Africa have a mortality twice the global average. Existing risk assessment tools are not valid for use in this population because the pattern of risk for poor outcomes differs from high-income countries. The objective of this study was to derive and validate a simple, preoperative risk stratification tool to identify African surgical patients at risk for in-hospital postoperative mortality and severe complications. Methods: ASOS was a 7-day prospective cohort study of adult patients undergoing surgery in Africa. The ASOS Surgical Risk Calculator was constructed with a multivariable logistic regression model for the outcome of in-hospital mortality and severe postoperative complications. The following preoperative risk factors were entered into the model; age, sex, smoking status, ASA physical status, preoperative chronic comorbid conditions, indication for surgery, urgency, severity, and type of surgery. Results: The model was derived from 8799 patients from 168 African hospitals. The composite outcome of severe postoperative complications and death occurred in 423/8799 (4.8%) patients. The ASOS Surgical Risk Calculator includes the following risk factors: age, ASA physical status, indication for surgery, urgency, severity, and type of surgery. The model showed good discrimination with an area under the receiver operating characteristic curve of 0.805 and good calibration with c-statistic corrected for optimism of 0.784. Conclusions: This simple preoperative risk calculator could be used to identify high-risk surgical patients in African hospitals and facilitate increased postoperative surveillance. © 2018 British Journal of Anaesthesia. Published by Elsevier Ltd. All rights reserved.Medical Research Council of South Africa gran