METHODS: This retrospective descriptive study comprised all cases of GTN managed at Groote Schuur Hospital over a 10-year period (1999-2008).
RESULTS: Seventy-six patients, with a median age of 30 years at presentation, were included in the study. Only 36 patients (47.4%) had known HIV status. Fourteen (18.4%) were HIV positive, and of these, 4 (28.6%) were on antiretroviral treatment (ARV). The mean CD4 count was 142 cells/μL for those on ARV and 543 cells/μL for those not on ARV (P = 0.001). Histologically, 44 patients (58%) had hydatidiform mole, and 21 (28%) had choriocarcinoma. In the remaining 10 cases, a clinical diagnosis was made. Based on the revised International Federation of Gynecology and Obstetrics (FIGO)/modified World Health Organization scoring, 43 patients (56.6%) were low risk, and 33 (43.4%) were high risk. Thirty-eight patients (50%) were staged as FIGO stage I. Of 73 patients who received chemotherapy, 56 (76.7%) achieved complete remission, 9 (12.3%) did not achieve any remission, 7 (9.6%) had a relapse, and 1 (1.4%) was lost to follow-up. Patients who never went into remission had frequent treatment delays due to poor compliance or inadequate blood counts. The overall survival at 60 months was 81.9%. Of the 13 patients (17.1%) who have died, 5 (38.5%) were HIV positive. The overall 5-year survival rates for FIGO stages I, II, III, and IV were 97.4%, 66.7%, 77.8%, and 46.2%, respectively. The overall 5-year survival for HIV-positive patients was 64.3% versus more than 85% for both the HIV-negative and HIV-unknown groups.
CONCLUSIONS: Apart from more advanced stage, HIV seropositivity and poor compliance with treatment also portend poorer outcome in GTN patients. In HIV-positive patients with poor CD4, little clarity is available whether ARV should be commenced speedily, and the administration of chemotherapy delayed until immune reconstitution occurs.
METHODS: Data were derived from the Global School-Based Student Health Survey (GSHS). Data from 71176 adolescents aged 12-15 years residing in 23 countries were analyzed. The Centers for Disease Control and Prevention (CDC) 2000 growth charts were used to identify underweight, normal weight, and overweight/ obesity. Weighted age- and gender-adjusted prevalence of weight categories and tobacco use was calculated. Multivariate logistic regression analysis was performed to estimate the association between weight categories and tobacco use for each country, controlling for covariates. Pooled odds ratios and confidence intervals were computed using random- or fixed-effects meta-analyses.
RESULTS: A significant association between weight categories and tobacco use was evident in only a few countries. Adolescents reporting tobacco use in French Polynesia, Suriname, and Indonesia, had 72% (95% CI: 0.15-0.56), 55% (95% CI: 0.24-0.84), and 24% (95% CI: 0.61-0.94) lower odds of being underweight, respectively. Adolescents reporting tobacco use in Uganda, Algeria, and Namibia, had 2.30 (95% CI: 1.04-5.09), 1.71 (95% CI: 1.25-2.34), and 1.45 (95% CI: 1.00-2.12) times greater odds of being overweight/obese, but those in Indonesia and Malaysia had 33% (95% CI: 0.50-0.91) and 16% (95% CI: 0.73-0.98) lower odds of being overweight/obese.
CONCLUSIONS: The association between tobacco use and BMI categories is likely to be different among adolescents versus adults. Associating tobacco use with being thin may be more myth than fact and should be emphasized in tobacco prevention programs targeting adolescents.
METHODS: A retrospective analytical cross-sectional study was conducted over 2 years. The cumulative antibiograms were constructed in accordance with current guidelines.
RESULTS: A total of 976 first isolate cultures were obtained from ICUs of the different referral hospitals. K. pneumoniae (8.8%, 8.1%) was a predominant pathogen in Windhoek Central hospital ICU in 2017 and 2018. In Oshakati intermediate hospital ICU, Enterobacter sp. (22.2%) and P. aeruginosa (37.5%) were the common pathogens in 2017 and 2018, respectively. A. baumannii isolates were >90% susceptibility to colistin, carbapenems, and tigecycline in 2017. In 2017, K. pneumoniae isolates were more susceptible to carbapenems (94% and 93.8% among isolates), amikacin (89.3%), and tigecycline (88.7%). In 2018, K. pneumoniae isolates were 100% susceptible amikacin, colistin, and carbapenems. S. maltophilia isolates were more than 80% susceptible to all the tested antibiotics. S. aureus isolates were 100% susceptible to linezolid, rifampicin, teicoplanin, and vancomycin in 2017 and in 2018. Its susceptibility to these antibiotics did not change.
CONCLUSION: The susceptibility patterns of the common isolated gram-negative pathogens were highly variable. Meropenem in combination with gentamicin is now the recommended antibiotic combination for empiric therapy for patients with LRTIs in Windhoek Central Hospital ICU.