Environmental risk factors for oesophageal cancer in Malawi: A case-control study

Aim There is a high burden of oesophageal cancer in Malawi with dismal outcomes. It is not known whether environmental factors are associated with oesophageal cancer. Without knowing this critical information, prevention interventions are not possible. The purpose of this analysis was to explore environmental factors associated with oesophageal cancer in the Malawian context. Methods A hospital-based case-control study of the association between environmental risk factors and oesophageal cancer was conducted at Kamuzu Central Hospital in Lilongwe, Malawi and Queen Elizabeth Central Hospital in Blantyre, Malawi. Ninety-six persons with squamous cell carcinoma and 180 controls were enrolled and analyzed. These two groups were compared for a range of environmental risk factors, using logistic regression models. Unadjusted and adjusted odds ratios and 95% confidence intervals (CI) were calculated. Results Firewood cooking, cigarette smoking, and use of white maize flour all had strong associations with squamous cell carcinoma of the oesophagus, with adjusted odds ratios of 12.6 (95% CI: 4.2-37.7), 5.4 (95% CI: 2.0-15.2) and 6.6 (95% CI: 2.3-19.3), respectively. Conclusions Several modifiable risk factors were found to be strongly associated with squamous cell carcinoma. Research is needed to confirm these associations and then determine how to intervene on these modifiable risk factors in the Malawian context.

Prevalence of chronic diseases in private healthcare sector of South Africa: A threat to public health

Purpose: To evaluate the prevalence of patients suffering from registered chronic disease list (CDL) conditions in a section of the South African private health sector from 2008 - 2012. Methods: This study was a retrospective analysis of the medicine claims database of a nationally (South African) representative Pharmacy Benefit Management (PBM) company data between 2008 and 2012. Statistical analysis was used to analyse the data. Descriptive analysis was performed to calculate the prevalence of CDL conditions for the entire population, and stratified by age and gender. However, MIXED linear modelling was used to determine changes in the average number of CDL conditions per patient, adjusted for age and gender from 2008 - 2012. Results: An increase of 0.20 in chronic diseases was observed from 2008 - 2012 in patients having any CDL condition, with an average of 1.57 (1.57 - 1.58, 95 % CI) co-morbid CDL conditions in 2008 and 1.77 (1.77 - 1.78, 95 % CI) in 2012. This increase in average number of CDL conditions per patient between 2008 and 2012 was statistically significant (p < 0.05), but with no large practical significance (d < 0.8). Conclusion: Prevalence of patients with CDL conditions along with risk of co-morbidity has been increasing with time in the private health sector of South Africa. Risk of increased co-morbidity with age and among different genders was prevalent.

Co-occurrence of Helicobacter pylori with faecal bacteria in Nairobi river basin: public health implications.

Introduction: Overwhelming evidence implicates Helicobacter pylori (H. pylori) as an etiologic agent of gastrointestinal diseases including gastric cancer. The mode of transmission of this pathogen remains poorly understood. Objective: This investigation is to establish the presence of H. pylori in the waters of the Nairobi river basin and the predictive value the presence of fecal indicator bacteria would have for H. pylori. Methodology: Physical, chemical and biological assessment of water quality of rivers in Nairobi were carried out using standard methods. H. pylori DNA in water was detected using highly specific primers of glmM gene (294pb). Results: There was high presence of faecal bacteria in the waters sampled. H. pylori DNA was detected in two domestic wells and one river. The wells were located in two different regions of the water basin but influenced by similar human activities. Conclusion: The high presence of faecal bacteria in the waters sampled did not parallel the H. pylori detection in the same waters. H. pylori was detected in the Nairobi river basin, but there was no relationship between the numerical levels of fecal bacteria and H. pylori.