RELATIONSHIP BETWEEN SELECTED TRADITIONAL & NOVEL ANTHROPOMETRIC PARAMETERS AND BLOOD PRESSURE AMONG YOUNG PEOPLE.

Background: Many anthropometric measures have been developed in the last two decades to evaluate cardiovascular health and disease. However, the relationship between these measures and blood pressure is not commonly explored among young population. Objective: This study sought to explore the relationship between selected traditional and novel anthropometric metrics and blood pressure among young people as part of ThE profile of anthRopometRy And psyChosocial issuEs on campus (TERRACE) study. Methods: A total of 375 participants were included in the study. Basic demographic details, standard methods were used to measure blood pressure, and anthropometric measures Height, weight, waist circumference, hip circumference, and neck circumference were measured. Derived waist and hip indices included the waist-hip ratio, waist-to-height ratio, weight-adjusted waist index, abdominal volume index, neck-to-height ratio, and conicity index. The linear relationships between the anthropometric parameters and systolic blood pressure, diastolic blood pressure, and pulse pressure were explored. Those that were strongly correlated, moderately correlated, weakly correlated, and effectively uncorrelated were graded 0.50-1.0, 0.30-0.49, 0.10-0.29, and less than 0.10, respectively. The analysis was done using SPSS version 23. A p-value <0.05 was considered significant. Results: The mean age ±standard deviation(SD) and proportion of females were 21.1±3.5 years and 245 (65.3%), respectively. The mean ±SD systolic blood pressure, diastolic blood pressure, and pulse pressure were 109.2 11.2 mmHg, 67.5±8.8 mmHg, and 41.6±11.1 mmHg, respectively. Most of the variables have a statistically significant relationship with the blood pressure parameters; however, all are neither moderately nor strongly correlated. Conclusion: Most of the anthropometric indicators, including the novel ones, are correlated with BP parameters in this young population. However, further research is needed to unravel newer one with better correlations in this population.

Patient-level and system-level determinants of stroke fatality across 16 large hospitals in Ghana and Nigeria: a prospective cohort study.

BACKGROUND: Every minute, six indigenous Africans develop new strokes. Patient-level and system-level contributors to early stroke fatality in this region are yet to be delineated. We aimed to identify and quantify the contributions of patient-level and system-level determinants of inpatient stroke fatality across 16 hospitals in Ghana and Nigeria. METHODS: The Stroke Investigative Research and Educational Network (SIREN) is a multicentre study involving 16 sites in Ghana and Nigeria. Cases include adults (aged ≥18 years) with clinical and radiological evidence of an acute stroke. Data on stroke services and resources available at each study site were collected and analysed as system-level factors. A host of demographic and clinical variables of cases were analysed as patient-level factors. A mixed effect log-binomial model including both patient-level and system-level covariates was fitted. Results are presented as adjusted risk ratios (aRRs) with respective 95% CIs. FINDINGS: Overall, 814 (21·8%) of the 3739 patients admitted with stroke died as inpatients: 476 (18·1%) of 2635 with ischaemic stroke and 338 (30·6%) of 1104 with intracerebral haemorrhage. The variability in the odds of stroke fatality that could be attributed to the system-level factors across study sites assessed using model intracluster correlation coefficient was substantial at 7·3% (above a 5% threshold). Stroke units were available at only five of 16 centres. The aRRs of six patient-level factors associated with stroke fatality were: low vegetable consumption, 1·19 (95% CI 1·07-1·33); systolic blood pressure, 1·02 (1·01-1·04) for each 10 mm Hg rise; stroke lesion volume more than 30 cm3, 1·48 (1·22-1·79); National Institutes of Health Stroke Scale (NIHSS) score, 1·20 (1·13-1·26) for each 5-unit rise; elevated intracranial pressure, 1·75 (1·31-2·33); and aspiration pneumonia, 1·79 (1·16-2·77). INTERPRETATION: Studies are needed to assess the efficacy of interventions targeting patient-level factors such as aspiration pneumonia in reducing acute stroke fatality in this region. Policy directives to improve stroke unit access are warranted. FUNDING: US National Institutes of Health. TRANSLATIONS: For the Twi, Yoruba and Hausa translations of the abstract see Supplementary Materials section.

Risk Factor Characterization of Ischemic Stroke Subtypes Among West Africans.

BACKGROUND AND PURPOSE: To identify the qualitative and quantitative contributions of conventional risk factors for occurrence of ischemic stroke and its key pathophysiologic subtypes among West Africans. METHODS: The SIREN (Stroke Investigative Research and Educational Network) is a multicenter, case-control study involving 15 sites in Ghana and Nigeria. Cases include adults aged ≥18 years with ischemic stroke who were etiologically subtyped using the A-S-C-O-D classification into atherosclerosis, small-vessel occlusion, cardiac pathology, other causes, and dissection. Controls were age- and gender-matched stroke-free adults. Detailed evaluations for vascular, lifestyle, and psychosocial factors were performed. We used conditional logistic regression to estimate adjusted odds ratios with 95% CI. RESULTS: There were 2431 ischemic stroke case and stroke-free control pairs with respective mean ages of 62.2±14.0 versus 60.9±13.7 years. There were 1024 (42.1%) small vessel occlusions, 427 (17.6%) large-artery atherosclerosis, 258 (10.6%) cardio-embolic, 3 (0.1%) carotid dissections, and 719 (29.6%) undetermined/other causes. The adjusted odds ratio (95% CI) for the 8 dominant risk factors for ischemic stroke were hypertension, 10.34 (6.91-15.45); dyslipidemia, 5.16 (3.78-7.03); diabetes, 3.44 (2.60-4.56); low green vegetable consumption, 1.89 (1.45-2.46); red meat consumption, 1.89 (1.45-2.46); cardiac disease, 1.88 (1.22-2.90); monthly income $100 or more, 1.72 (1.24-2.39); and psychosocial stress, 1.62 (1.18-2.21). Hypertension, dyslipidemia, diabetes were confluent factors shared by small-vessel, large-vessel and cardio-embolic subtypes. Stroke cases and stroke-free controls had a mean of 5.3±1.5 versus 3.2±1.0 adverse cardio-metabolic risk factors respectively (P<0.0001). CONCLUSIONS: Traditional vascular risk factors demonstrate important differential effect sizes with pathophysiologic, clinical and preventative implications on the occurrence of ischemic stroke among indigenous West Africans.

Prevalence of ECG abnormalities among adults with metabolic syndrome in a Nigerian Teaching Hospital.

BACKGROUND: Co-existence of metabolic syndrome (MetS) and electrocardiography (ECG) abnormalities heightens the risk of sudden cardiac death. However, there is a gap in evidence of how ECG changes cluster among continental Africans with or without MetS. METHODS: We included 491 participants with interpretable ECG tracings who were consecutively recruited into the Cardiovascular Risk Prediction Registry (CRP). CRP is a registry of newly presenting patients into cardiology clinic of the University College Hospital, Nigeria, with a main objective of cardiovascular risk stratification to prevent cardiovascular morbidity and mortality. Using the International Diabetic Federation (IDF) criteria they were divided into those with metabolic syndrome and non-metabolic syndrome. RESULTS: Four hundred and ninety-one participants comprising 48.3% women with mean age 53.72±15.2 years who met the IDF criteria with complete ECG interpretations were analyzed with 44.2% (men 38.6%; women 50.2%) of the participants having MetS while 74% had ECG abnormalities. Compared to women, men had higher mean serum total cholesterol, creatinine, smoking, and alcohol use, family history of hypertension and diabetes mellitus, QT prolongation, LVH plus or minus strain pattern, and ECG abnormalities in general. Women were heavier, had higher heart rate and proportions of MetS. ECG findings among those with or without MetS were not significantly different. In men, IDF metabolic score was associated with conduction abnormalities (p=0.039) and combined ECG abnormality (p=0.042) which became more significant with an exclusion of QT prolongation (p=0.004). Also, IDF abdominal obesity was associated with QT prolongation (p=0.017), combined ECG abnormality (p=0.034) while HDLc correlated with ECG abnormalities (0.037) in men. There was no significant associations of components of metabolic syndrome with ECG abnormalities among women. CONCLUSION: There was a high prevalence of MetS and abnormal ECG among the studied population. Abnormal ECG findings were more common in men with no differential association in people with or without MetS. However, a significant association existed between certain components of MetS and ECG abnormalities in men only. Male gender and HDLc were independent predictors of ECG Abnormalities.