Causes of end stage renal failure among haemodialysis XXXX in Khartoum State/Sudan.

@entity1 @entity3551 @entity8 @entity101 @entity6 @entity1252 @entity2885 @entity631 @entity413 @entity454
BACKGROUND: @entity454 ( @entity454 ) has become a major health problem in Sub Saharan Africa (SSA). There were limited data about causes of @entity454 in the Sudan. METHODS: This is a cross sectional hospital based descriptive study. The subjects of the study are @entity454 adults' @entity1 on regular haemodialysis treatment in 15 haemdoialysis centres in Khartoum State-Sudan. Clinical and epidemiological data were obtained from 1583 @entity1 . The medical files of each @entity1 were reviewed to identify the cause of @entity454 . Concerning the causes of @entity454 , @entity6 was diagnosed based on the past medical history and result of the @entity413 tolerance test, @entity101 was diagnosed based on past history of @entity101 based on blood pressure of more than 140/90  mmHg, @entity631 was diagnosed based on results of previous kidney biopsies and on clinical grounds, @entity8 and obstructive @entity3551 were diagnosed based on abdominal ultrasound and other imaging modalities, sickle cell anaemia was diagnosed based on the result of haemoglobin electrophoresis, @entity1252 was diagnosed based on the clinical criteria in addition to lab results of auto antibodies, and analgesic @entity8 was diagnosed based on past medical history of chronic analgesic drugs usage with no other identifiable risk factors. We included all @entity454 @entity1 on regular haemodialysis treatment. We excluded @entity454 @entity1 less than 18  years old. RESULTS: The results showed that the mean age of @entity454 @entity1 was 49      15.8 (years) and 63.4  % were male and 76.3  % were unemployed. The mean duration of haemodialysis is 4.38      4.24 (years). The most common cause of @entity454 in our @entity1 was @entity101 (34.6  %) followed by chronic @entity631 (17.6  %), @entity6 (12.8  %), obstructive @entity3551 (9.6  %), @entity8 ( @entity8 ) (4.7  %), chronic @entity2885 (4.6  %), analgesic @entity8 (3.5  %). However in (10.7  %) no cause was found. In @entity1 aged less than 40  years old the leading cause of @entity454 was @entity631 (29.3  %) followed by @entity101 (25  %). In @entity1 aged between 40 to 60  years old the leading cause of @entity454 was @entity101 (38.5  %) followed by @entity6 (14  %). In @entity1 aged older than 60  years the leading cause of @entity454 was @entity101 (38.4  %) followed by @entity6 (23.3  %). CONCLUSIONS: @entity454 in Sudan affects the economically productive age group; unemployment rate among @entity454 @entity1 is high. The study showed that @entity101 is a leading cause of @entity454 in Sudan followed by chronic @entity631 . @entity101 and @entity6 are the leading causes of @entity454 among @entity1 over 40  years old.
