Causes of Moderate and Severe Anaemia in a High-HIV and TB-Prevalent Adult Population in the Eastern Cape Province, South Africa.

BACKGROUND: Anaemia affects one in four adults in South Africa, with a higher prevalence in persons with HIV and tuberculosis. The aim of this study is to characterise the causes of anaemia in primary care and a district hospital setting. METHODS: A cross-sectional study design investigated a purposive sample of adult males and non-pregnant females at two community health centres and a hospital casualty and outpatients. Fingerpick blood haemoglobin was measured with HemoCueHb201+. Those with moderate and severe anaemia underwent clinical examination and laboratory tests. RESULTS: Of 1327 patients screened, median age was 48 years, and 63.5% were female. Of 471 (35.5%) with moderate and severe anaemia on HemoCue, 55.2% had HIV, 16.6% tuberculosis, 5.9% chronic kidney disease, 2.6% cancer, and 1.3% heart failure. Laboratory testing confirmed 227 (48.2%) with moderate and 111 (23.6%) with severe anaemia, of whom 72.3% had anaemia of inflammation, 26.5% iron-deficiency anaemia, 6.1% folate deficiency, and 2.5% vitamin B12 deficiency. Overall, 57.5% had two or more causes of anaemia. Multivariate modelling showed that patients with severe anaemia were three times more likely to have tuberculosis (OR = 3.1, 95% CI = 1.5-6.5; p-value = 0.002). Microcytosis was present in 40.5% with iron deficiency, macrocytosis in 22.2% with folate deficiency, and 33.3% with vitamin B12 deficiency. The sensitivities of the reticulocyte haemoglobin content and % hypochromic red blood cells in diagnosing iron deficiency were 34.7% and 29.7%, respectively. CONCLUSIONS: HIV, iron deficiency, and tuberculosis were the most prevalent causes of moderate and severe anaemia. The majority had multiple causes. Iron, folate, and vitamin B12 deficiencies should be identified by biochemical testing rather than by red cell volume.

Glycosylated haemoglobin is markedly elevated in new and known diabetes patients with hyperglycaemic ketoacidosis.

BACKGROUND: Glycosylated haemoglobin (HbA1c) and random blood glucose are markers of chronic and acute hyperglycaemia respectively. OBJECTIVE: We compared HbA1c levels in ketoacidosis (DKA) occurring in known and newly diagnosed diabetes. METHODS: Retrospective review of medical records for 83 DKA admissions in 2008 and 2009 with results for HbA1c at presentation. RESULTS: There were 52 and 31 DKA admissions in known and newly diagnosed diabetes patients respectively. Fifty of the 83 DKA admissions were in females. The mean age (per admissions) and HbA1c of all admissions are 43.4 ± 20.3 years (n=83) and 12.7 ± 3.4 % (n=83) respectively. Mean HbA1c in known Type 1, known Type 2 and newly diagnosed diabetes patients were similarly very high: 12.4 ± 3.3 %, 12.5 ± 3.3 %, 13.1 ± 3.7 %; P = 0.6828. The HbA1c levels in newly diagnosed diabetes patients less than 30 years (likely Type 1 diabetes) and ≥ 30 years (likely Type 2 diabetes) were similar. There was a tendency to significantly positive correlation between blood glucose and HbA1c in new diabetes patients. CONCLUSIONS: In our setting, DKA is associated with markedly elevated HbA1c levels in known type 1, known type 2 and new onset diabetes.

Islet immunity and beta cell reserve of indigenous Black South Africans with ketoacidosis at initial diagnosis of diabetes.

OBJECTIVE: Islet immunity and beta cell reserve status were utilized to classify persons with ketoacidosis as the initial manifestation of diabetes. The clinical features of the various diabetes classes were also characterized. DESIGN: Prospective cross sectional study. SETTING: Nelson Mandela Academic Hospital, Mthatha, Eastern Cape Province, South Africa. PATIENTS: Indigenous Black South Africans with ketoacidosis as the initial manifestation of diabetes. INTERVENTIONS: Islet immunity and beta cell reserve were respectively assessed using serum anti-glutamic acid decarboxylase 65 (GAD) antibody and serum C-peptide after 1 mg of intravenous glucagon. OUTCOME MEASURES: Serum anti-GAD 65 antibody > or = 5 units/L and < 5 units/L, respectively defined anti-GAD 65 positive (A+) and negative (A-). Replete (beta+) and deplete (beta-) beta cell reserve were serum C-peptide after glucagon injection of > or = 0.5 ng/mL and < 0.5 ng/mL, respectively. The proportions of patients with A+beta-, A+beta+, A-beta- and A-beta+ and their clinical characteristics were determined. RESULTS: Of the 38 males and 33 females who participated in the study, patients were categorized in various classes: A-beta+, 46.5% (n=33/ 71); A-beta-, 26.8% (n=19/71); A+beta-, 22.5% (n=16/71); and A+beta+, 4.2% (n=3/71). The ages of the various classes were: 41.8 +/- 13.8 years for A-beta+ (n=33); 36.5 +/- 14.6 years for A-beta- (n=19); and 20.6 +/- 7.1 years for the combination of A+beta- with A+beta+ (n=19) (P<.0001, P<.0001 for the combination of A+beta- and A+beta+ vs A-beta+, P=.001 for the combination of A+beta- and A+beta+ vs A-beta-and P=.2 for A-beta- vs A-beta+. The clinical features of type 2 diabetes were most prevalent in A-beta+ class while the A+beta- and A+beta+ groups had the clinical profile of type 1A diabetes. CONCLUSIONS: Most of the indigenous Black South African patients with ketoacidosis as the initial manifestation of diabetes had islet immunity, beta cell reserve status and clinical profiles of type 2 diabetes.

High prevalence of diabetes mellitus and metabolic syndrome in a South African coloured population: baseline data of a study in Bellville, Cape Town.

OBJECTIVE: The coloured population has the second-highest prevalence of diabetes in South Africa. However, the data were based on a study conducted almost 20 years ago in a peri-urban coloured population of the Western Cape. We aimed to determine the prevalence of diabetes mellitus and metabolic syndrome in an urban coloured population in South Africa. DESIGN: In a cross-sectional survey, 642 participants aged ≥31 years were drawn from an urban community of Bellville South, Cape Town, from mid-January 2008 to March 2009. Type 2 diabetes was assessed according to the WHO criteria, and metabolic syndrome was based on the International Diabetes Federation (IDF), ATP III and 2009 Joint Interim Statement (JIS) definition. RESULTS: The crude prevalence of 28.2% (age-adjusted 26.3%, 95% confidence interval (CI) 22.0 - 30.3) for type 2 diabetes was: 4.4% (age-adjusted 3.2%, 95% CI 1.6 - 4.9) for impaired fasting glycaemia, and 15.3% (age-adjusted 15.0%, 95% CI 11.4 - 18.6) for impaired glucose tolerance. Undiagnosed type 2 diabetes was present in 18.1% (age-adjusted 16.8%, 95% CI 13.3 - 20.4). The crude prevalence of metabolic syndrome was higher with the JIS definition (62.0%) than the IDF (60.6%), and the National Cholesterol Education Program (NCEP) ATP III (55.4%). There was good overall agreement between the MetS criteria, k=0.89 (95% CI 0.85 - 0.92). CONCLUSION: The prevalence of diabetes has increased hugely in the coloured community, and the high prevalence of undiagnosed diabetes portends that cardiovascular diseases might grow to epidemic proportions in the near future in South Africa.

Basal cortisol levels and correlates of hypoadrenalism in patients with human immunodeficiency virus infection.

OBJECTIVE: To determine the frequency of occurrence of hypoadrenalism in patients with human immunodeficiency virus (HIV) infection and document the clinical correlates of hypoadrenalism for this group of patients. SUBJECTS AND METHODS: A descriptive study was carried out on 66 hospitalized HIV patients in a semi-urban setting of South Africa. Hypoadrenalism was diagnosed based on a basal cortisol level of less than 400 nmol/l with or without overt signs and symptoms. Clinical and biochemical parameters of hypoadrenalism were compared between subjects with suboptimal and normal cortisol levels. Statistical analysis included Student's t test, χ(2) and Pearson's correlation coefficient tests. RESULTS: The prevalence of hypoadrenalism was 27% with a high occurrence of contributory factors (cytomegalovirus infection in 100% and tuberculosis in 68.2% of the study subjects). Typical features of hypoadrenalism included: hyponatremia, 19.6%; hyperkalemia, 6.1%; mucosal hyperpigmentation, 12%, and loss of axillary hair, 15%. Comparison of clinical and biochemical parameters of hypoadrenalism did not show a correlation between CD4 count and cortisol levels (r = 0.1 and p = 0.3). CONCLUSION: The prevalence of hypoadrenalism in our patients with HIV infection was high and the clinical features were comparable in subjects with normal and subnormal cortisol levels.