Toxoplasmosis prevalence in cats of Kingabwa and Limete résidentiel districts in Kinshasa

Durant sept mois, 150 échantillons de selles ont été collectés chez les chats des quartiers Kingabwa et Limete résidentiel à Kinshasa. Les analyses coprologiques par flottaison quantitative ont donné une prévalence brute de toxoplasmose de 14,7 %, à raison de 20 % à Kingabwa et de 8,6 % à Limete résidentiel pour ce qui est des quartiers (p? 0,05), de 13,3 % chez les mâles et de 16 % chez les femelles (p?0,05) concernant le sexe et de 16 % chez les chats âgés d’une année et plus et de 13,3 % chez ceux ayant moins d’une année (p?0,05) pour ce qui est de l’âge. Les chats joueraient un rôle important dans la forte prévalence de la toxoplasmose humaine observée à Kinshasa. Les médecins vétérinaires devront intégrer en plus du vermifugeage, l’administration de la pyriméthamine et de la sulfadiazine lors de la vaccination antirabique chez les chats afin de lutter contre la toxoplasmose féline. Mots-clés: Prévalence, Toxoplasmose, chats, Kingabwa, Limete résidentiel, Kinshasa.During seven months, 150 fecal samples were collected in cats of Kingabwa and residential Limete in Kinshasa. Coprological analysis by quantitative flotation gave a crude prevalence of 14.5 %, with 20 % prevalence at Kingabwa and 8.6 % for residential Limete in terms of neighborhoods (p?0.05), 13.3 % for males and 16 % for females (p?0,05) and 16 % of cats aged one year or more and 13.3 % in those with less than a year (p?0,05). Cats play an important role in the high prevalence of human toxoplasmosis observed in Kinshasa. Veterinarians should integrate, in addition to deworming, the administration of pyriméthamine and sulfadiazine at the time of anti-rabies vaccination of cats in order to fight against feline toxoplasmosis. Keywords: Prevalence, Toxoplasmosis, cats, Kingabwa, Limete residential, Kinshasa

Toxoplasmosis prevalence in cats of Kingabwa and Limete résidentiel districts in Kinshasa

During seven months, 150 fecal samples were collected in cats of Kingabwa and residential Limete in Kinshasa. Coprological analysis by quantitative flotation gave a crude prevalence of 14.5 %, with 20 % prevalence at Kingabwa and 8.6 % for residential Limete in terms of neighborhoods (p<0.05), 13.3 % for males and 16 % for females (p<0,05) and 16 % of cats aged one year or more and 13.3 % in those with less than a year (p<0,05). Cats play an important role in the high prevalence of human toxoplasmosis observed in Kinshasa. Veterinarians should integrate, in addition to deworming, the administration of pyriméthamine and sulfadiazine at the time of anti-rabies vaccination of cats in order to fight against feline toxoplasmosis

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