TITRE

Epidemiology of Impaired Renal Function in The Bamenda Health District, North West Region of Cameroon

AUTEURS

Kyeng M. T ; Vukugah A. T ; Fida R. P ; Ndosirin N. N ; Blaise N. Y ; Bassong O. M

REFERENCES

CaHReF 20116, Yaoundé Conges hall, 23 – 26 August 2016 , PL090

EMAIL
vukugahthomas@gmail.com
ABSTRACT

Impaired renal function (IRF) is a worldwide problem with adverse outcome of kidney failure, cardiovascular disease (CVD) and death. Consequently research on assessing the burden of this disease in a developing Country like Cameroon where sustainability of end-stage management cannot be garaunteed, is crucial for the adoption of better prevention strategies.

To describe the epidemiology, of Impaired Renal Function, among adults in Bamenda health district (BHD) by the end of 2015.

It was a Population-based cross sectional study that lasted from March 2015 to December 2015 at the BHD. Blood samples were collected from 512 participants through a stratified convinience sampling technique. IRF was defined as eGFR ≤ 60 ml/min/1.73m2. Data was analysed using Epi Info version 3.5.1 and Microsoft Excel 2010. 
Out of the 512 participants, we had 305 (59.6%) females and 207(40%) males of which 294(57.4%) were from the rural communities and 218 (42.6%) from the urban communities. The mean age of the participants was 52years (SD= 15.43). We observed that the prevalence of the various diseases was very high; hypertension was 54.5%, IRF was 7.40% and Diabetes was 20.1%. These results could be correlated with other studies in Africa. Surprisingly, we also had a prevalence of 0.8% of people who were already at stage 5 but who weren’t aware of their status. prevalence of reduced eGFR was high in the entire population and predominatly dominated by the rural population while awareness was low. Factors associated to IRF were obesity (AOR=2.39; 95%CI 1.13-5.06); pre-diabetes (AOR=2.53; 95%CI 1.03-6.21) and age (AOR=1.04; 95%CI 1.01-1.07). 
IRF is an increasing burden in Cameroon. More research needs to be done so as to identify some of the risk factors of every community for better interventions

MOTS CLES

Impaired Renal Function, Epidemiology, Prevalence, Community