Diabetic ketoacidosis is the most common hyperglycaemic emergency in patients with diabetes mellitus, especially type 1 diabetes. It carries very high mortality in sub-Saharan Africa, both in the treated patients and those who are presenting to hospital with diabetes for the first time. Objective: To review the risk factors, mechanisms and management approaches in diabetes ketoacidosis in published literature and to discuss them in the context of why a significant proportion of patients who develop diabetic ketoacidosis in sub-Saharan Africa still have high mortality. Data source: Literature review of relevant published literature from both Africa and the rest of the world. Data synthesis: The main causes or precipitants of DKA in patients in SSA are newly diagnosed diabetes, missed insulin doses and infections. The major underlying mechanism is insulin deficiency. Treated patients miss insulin doses for various reasons, for example, inaccessibility occasioned by; unavailability and unaffordability of insulin, missed clinics, perceived ill-health and alternative therapies like herbs, prayers and rituals. Infections also occur quite often, but are not overt, like urinary tract, tuberculosis and pneumonia. Due to widespread poverty of individuals and nations alike, the healthcare systems are scarce and the few available centres are unable to adequately maintain a reliable system of insulin supply and exhaustively investigate their hospitalised patients. Consequently, there is little guarantee of successful outcomes. Poor people may also have sub-optimal nutrition, caused or worsened by diabetes, more so, at first presentation to hospital. Intensive insulin therapy in such individuals mimics 're-feeding syndrome', an acute anabolic state whose outcome may be unfavourable during the period of treatment of diabetic ketoacidosis. Conclusions: Although mortality and morbidity from diabetic ketoacidosis remains high in sub-Saharan Africa, improved healthcare systems and reliable insulin supply can reverse the trend, at least, to a large extent. Individuals and populations need empowerment through education, nutrition and poverty eradication to improve self-care in health and living with diabetes
Objective: To determine the socio-demographic profiles and some clinical aspects of patients with rheumatoid arthritis (RA). Design: Prospective, cross-sectional study. Setting: Ambulatory outpatient clinics of Kenyatta National Hospital (KNH), a public national and referral hospital. Subjects: Out of 180 patients interviewed and examined, 60 met American College of Rheumatology (ACR) diagnostic criteria of RA. Results: Of the 60 patients recruited 52 (87%) were females with male: female ratio of 1: 6.5. The mean age of patients was 41.38(± 16.8) years. There were two peaks of age of occurrence, 20-29 and 40-49 years. In 75% of the study patients, one or more of metacarpophalangeal joints of the hand were involved in the disease. Other frequently involved sites were-wrists, elbows, knees, ankles and glenohumeral joints of shoulders in a symmetrical manner. Serum rheumatoid factor was positive in 78.9% while rheumatoid nodules were present in 13.3% of the study patients. A large majority of patients (88%) had active disease with 18% having mild disease, 38% moderate activity and 32% having severe disease. Only 12% of patients had disease in remission. Forty six point seven per cent (46.7%) of the study patients were on at least one Disease Modifying anti Rheumatic Drugs (DMARD) from a selection of methotrexate, sulphasalazine, hydroxychloroquine and leflunamide. The most frequent drug combination was methotrexate plus prednisolone at 30% of the study population; while 66.7% were on oral prednisolone with 25% of the study patients taking only Non-Steroidal anti Inflammatory Drugs (NSAIDS). Conclusion: A large majority of ambulatory patients with RA had active disease. Most of' them were sub-optimally treated, especially the use of DMARDS. About two thirds were on oral steroids. Sub-optimal therapy in relatively young patients, peak 20-29 and 40-49 years is likely to impact negatively on their disease control and quality of life.
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