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author:("Dada, orsola")
1.  Glucose and lipid assessment in patients with acute stroke 
Background
Stroke is a major health issue in Nigeria and it is also a common cause of emergency admissions. Stroke often results in increased morbidity, mortality and reduced quality of life in people thus affected. The risk factors for stroke include metabolic abnormalities such as dyslipidaemia and diabetes mellitus (DM). The stress of an acute stroke may present with hyperglycaemia and in persons without a prior history of DM, may be a pointer to stress hyperglycaemia or undiagnosed DM.
Methodology
This was a cross sectional study carried out over a period of one year in a teaching hospital in Lagos, Nigeria. Patients with acute stroke admitted to the hospital within three days of the episode of stroke and who met other inclusion criteria for the Study were consecutively recruited. Clinically relevant data was documented and biochemical assessments were carried out within three days of hospitalization. Tests for lipid profile, glycosylated haemoglobin(HbA1c), and blood glucose at presentation were carried out. The presence of past history of DM, undiagnosed DM, stress hyperglycaemia and abnormal lipid profile were noted. Students t test and Chi square were the statistical tests employed.
Results
A total of 137 persons with stroke were recruited of which 107 (76%) met the defining criteria for ischaemic stroke. The mean age and age range of the Study subjects were 62.2 (11.7) and 26–89 years respectively. The Study subjects were classified according to their glycaemic status into the following categories viz; stress hyperglycaemia, euglycaemia, DM and previously undiagnosed DM. Stress hyperglycaemia occurred commonly in the fifth decade of life and its incidence was comparable between those with cerebral and haemorrhagic stroke. The commonly occurring lipid abnormalities were elevated LDL-C and low HDL.
Conclusions
The detection of abnormal metabolic milieu is a window of opportunity for aggressive management in persons with stroke as this will improve outcome. Routine screening for hyperglycaemia in persons with stroke using glycosylated haemoglobin tests and blood glucose may uncover previously undiagnosed DM.
doi:10.1186/1755-7682-7-45
PMCID: PMC4221686  PMID: 25379056
2.  The relationship between red blood cell distribution width and blood pressure in patients with type 2 diabetes mellitus in Lagos, Nigeria 
Journal of Blood Medicine  2014;5:185-189.
Background
High red blood cell distribution width (RDW) is related to impairment of erythropoiesis, reflecting chronic inflammation and increased levels of oxidative stress, both of which are telltale signs of type 2 diabetics. The aim of this study was to evaluate the relationship between the RDW and fasting blood sugar/blood pressure, and compare the results from diabetics with nondiabetic controls.
Methods
This was an unmatched case-control study involving 200 participants consisting of 100 diabetics and 100 nondiabetic controls. Blood (4.5 mL) was collected from all of the diabetics and nondiabetic controls, and placed into EDTA anticoagulant tubes. A full blood count was performed using the Sysmex KX-21N, a three-part auto analyzer able to run 19 parameters per sample, including RDW. Blood pressure was measured during sample collection and in a sitting position.
Results
The mean fasting blood sugar level was 95.20±30.10 mg/dL in the controls, and 147.85±72.54 mg/dL in the diabetics. The mean blood pressures for diabetics was 138/90 mmHg and for non-diabetics 120/80 mmHg. The mean RDW-SD (RDW standard deviation) was 46.44±4.64 fl in the controls, and 46.84±3.18 in the diabetics. The mean RDW-CV (RDW coefficient of variation) was 14.74%±1.94% in controls, and 14.80±0.71 for diabetics. No statistically significant correlation was found between the RDW-SD and fasting blood sugar/blood pressure in the diabetics. A statistically significant positive correlation was found between the RDW-CV and blood pressure in the diabetics.
Conclusion
A positive correlation between the RDW-CV and blood pressure was established in the diabetics in this study.
doi:10.2147/JBM.S67989
PMCID: PMC4179754  PMID: 25278786
RDW; fasting blood sugar; type 2 DM
3.  The metabolic syndrome in thyroid disease: A report from Nigeria 
Background:
The objective of this study was to determine the prevalence of the metabolic syndrome and its components in people with thyroid disorders.
Materials and Methods:
112 subjects with a history of thyroid disorders were consecutively enrolled for the study. Clinical data were obtained by interviewing the patients and referring to their case folders and prescriptions. The subjects were categorized into three: thyrotoxic, those with hypothyroidism and those with nontoxic goiters, based on clinical parameters and or thyroid function tests. The study subjects were weighed and their anthropometric indices were documented. The laboratory parameters that were analyzed included total cholesterol, high-density and low-density cholesterol and triglyceride. Statistical analysis was performed using Student's t test, one-way analysis of variance (ANOVA) test and chi-square test.
Results:
The study subjects were aged between 14 and 76 years, with a mean age of 44.5 years, and the female:male ratio was 97:15. The mean age and anthropometric indices were comparable in subjects with thyrotoxicosis, hypothyroidism and euthyroidism. The overall prevalence of the metabolic syndrome was 28% and the frequency of occurrence of the metabolic syndrome in subjects with thyrotoxicosis, hypothyroidism and nontoxic goiter was 24%, 40% and 42%, respectively. The commonest occurring metabolic syndrome defining criterion was dysglycemia, while hypertension and elevated triglyceride were the least documented of the criteria.
Conclusion:
Metabolic syndrome occurs in 1 in every 4 persons with thyroid disorders, and as such, routine screening for this cardiovascular risk factor may be of benefit in this group of people, especially in those with hypothyroidism.
doi:10.4103/2230-8210.95688
PMCID: PMC3354852  PMID: 22629511
Metabolic syndrome; Nigeria; thyroid

Results 1-3 (3)