Main causes of death in Dande, Angola: results from verbal autopsies of deaths occurring during 2009–2012

bACKGROUND - The Dande Health and Demographic Surveillance System (HDSS) located in Bengo province, Angola, covers nearly 65,500 residents living in approximately 19,800 households. This study aims to describe the main causes of deaths (CoD) occurred within the HDSS, from 2009 to 2012, and to explore associations between demographic or socioeconomic factors and broad mortality groups (Group I-Communicable diseases, maternal, perinatal and nutritional conditions; Group II-Non-communicable diseases; Group III-Injuries; IND-Indeterminate). Methods - Verbal Autopsies (VA) were performed after death identification during routine HDSS visits. Associations between broad groups of CoD and sex, age, education, socioeconomic position, place of residence and place of death, were explored using chi-square tests and fitting logistic regression models. Results - From a total of 1488 deaths registered, 1009 verbal autopsies were performed and 798 of these were assigned a CoD based on the 10th revision of the International Classification of Diseases (ICD-10). Mortality was led by CD (61.0%), followed by IND (18.3%), NCD (11.6%) and INJ (9.1%). Intestinal infectious diseases, malnutrition and acute respiratory infections were the main contributors to under-five mortality (44.2%). Malaria was the most common CoD among children under 15 years old (38.6%). Tuberculosis, traffic accidents and malaria led the CoD among adults aged 15–49 (13.5%, 10.5 % and 8.0% respectively). Among adults aged 50 or more, diseases of the circulatory system (23.2%) were the major CoD, followed by tuberculosis (8.2%) and malaria (7.7%). CD were more frequent CoD among less educated people (adjusted odds ratio, 95% confidence interval for none vs. 5 or more years of school: 1.68, 1.04–2.72). Conclusion - Infectious diseases were the leading CoD in this region. Verbal autopsies proved useful to identify the main CoD, being an important tool in settings where vital statistics are scarce and death registration systems have limitations.

Registration-by-regression of coronary CTA and X-ray angiography

We evaluate the integration of 3D preoperative computed tomography angiography of the coronary arteries with intraoperative 2D X-ray angiographies by a recently proposed novel registration-by-regression method. The method relates image features of 2D projection images to the transformation parameters of the 3D image. We compared different sets of features and studied the influence of preprocessing the training set. For the registration evaluation, a gold standard was developed from eight X-ray angiography sequences from six different patients. The alignment quality was measured using the 3D mean target registration error (mTRE). The registration-by-regression method achieved moderate accuracy (median mTRE of 15 mm) on real images. It does therefore not provide yet a complete solution to the 3D–2D registration problem but it could be used as an initialisation method to eliminate the need for manual initialisation.