Ageing, exposure to pollution, and interactions between climate change and local seasons as oxidant conditions predicting incident hematologic malignancy at KINSHASA University clinics, Democratic Republic of CONGO (DRC).

BACKGROUND: The global burden of hematologic malignancy (HM) is rapidly rising with aging, exposure to polluted environments, and global and local climate variability all being well-established conditions of oxidative stress. However, there is currently no information on the extent and predictors of HM at Kinshasa University Clinics (KUC), DR Congo (DRC). This study evaluated the impact of bio-clinical factors, exposure to polluted environments, and interactions between global climate changes (EL Nino and La Nina) and local climate (dry and rainy seasons) on the incidence of HM. METHODS: This hospital-based prospective cohort study was conducted at Kinshasa University Clinics in DR Congo. A total of 105 black African adult patients with anaemia between 2009 and 2016 were included. HM was confirmed by morphological typing according to the French-American-British (FAB) Classification System. Gender, age, exposure to traffic pollution and garages/stations, global climate variability (El Nino and La Nina), and local climate (dry and rainy seasons) were potential independent variables to predict incident HM using Cox regression analysis and Kaplan Meier curves. RESULTS: Out of the total 105 patients, 63 experienced incident HM, with an incidence rate of 60%. After adjusting for gender, HIV/AIDS, and other bio-clinical factors, the most significant independent predictors of HM were age ≥ 55 years (HR = 2.4; 95% CI 1.4-4.3; P = 0.003), exposure to pollution and garages or stations (HR = 4.9; 95% CI 2-12.1; P < 0.001), combined local dry season + La Nina (HR = 4.6; 95%CI 1.8-11.8; P < 0.001), and combined local dry season + El Nino (HR = 4; 95% CI 1.6-9.7; P = 0.004). HM types included acute myeloid leukaemia (28.6% n = 18), multiple myeloma (22.2% n = 14), myelodysplastic syndromes (15.9% n = 10), chronic myeloid leukaemia (15.9% n = 10), chronic lymphoid leukaemia (9.5% n = 6), and acute lymphoid leukaemia (7.9% n = 5). After adjusting for confounders using Cox regression analysis, age ≥ 55 years, exposure to pollution, combined local dry season + La Nina and combined local dry season + El Nino were the most significant predictors of incident hematologic malignancy. CONCLUSION: These findings highlight the importance of aging, pollution, the dry season, El Nino and La Nina as related to global warming as determinants of hematologic malignancies among African patients from Kinshasa, DR Congo. Cancer registries in DRC and other African countries will provide more robust database for future researches on haematological malignancies in the region.

[Time series: pathologic determinants of cytobiochemical urinalysis and urinary infections at the University Clinics in Kinshasa]. / Séries temporelles: déterminants pathologiques des examens cytobiochimiques d'urines et infection urinaire entre 2011-2014 aux cliniques universitaires de Kinshasa.

INTRODUCTION: cytobiochemical analysis of urine samples is the most requested complementary laboratory tool along with blood count. It has high predictive value in patients with urinary tract infections when it is properly done and scrupulously interpreted. The purpose of this study was to assess the rate, progression, determinants and cytobiochemical comorbidities of urinary tract infections. METHODS: we conducted a documentary, descriptive, analytical and comparative study of patients referred for cytobiochemical examinations of urine to the laboratories of the University Clinics in Kinshasa (UCK) between 2011 and 2014. RESULTS: a total of 8926 cytobiochemical tests were requested, with less than 2% of biochemical tests. The study involved more women than men (6426 women vs 2500 men), with a sex ratio of 3F: 1M. Cytobiochemical tests were more requested in the 30-39-year age group (17%; n=1517) mand during the rainy seasons 72% (n=3511), with a peak in May. Urinary tract infections accounted for 54,8% [adjusted estimates n=4892 including E. coli (n=1937), Klebsiella (n=993)] and were mainly diagnosed over the period 2012-2014. There was an independent and significant association between female sex (adjusted OR = 3.5; CI = 95%; 3.1-3.8; P<0.0001), admission during the rainy seasons (adjusted OR = 1.3; CI = 95%; 1.2-1.4; P<0.0001) and urinary tract infection. CONCLUSION: urinary tract infection was a major concern for female patients admitted during the rainy seasons and over the years 2012-2014 at the UCK. Urinary tract infections were rare over the Nina year 2011 after the hottest El Nino year, while the rate of urinary tract infections was the same over the years 2012-2014, which were relatively hot before the the hottest El Nino year 2015. This study highlights that there is an interaction between the hot and humid tropical climatic conditions of the city of Kinshasa and the global cold climate, in the context of climate variability, global warming, which may explain the outbreak of urinary infections in Kinshasa.