Variation between pragmatic and standardised blood pressure measurements in a Nigerian primary care clinic

Background: A significant difference in the blood pressure (BP) value of a patient taken by different health workers has been a subject of discussion among health workers. This study investigated the variations between usual-care and guideline-concordant BP measurement protocols and evaluated the implications of the disparities on diagnosis and treatment decision.Methods: A cross-sectional study was conducted among 206 participants. The usual-care and guideline-concordant BP readings taken from each participant by the regular clinic nurses and research-trained nurses, respectively, were obtained.Results: Majority of the regular clinic nurses following the usual-care protocol used the left arm for BP measurement (59.7%). The systolic BP (SBP) and diastolic BP (DBP) readings were higher on the right arm in 55.3% and 39.2% of the participants, respectively. The mean guideline-concordant BP was 7.67 mmHg higher than the mean usual-care for SBP (p ≤ 0.05) and 7.14 mmHg higher for DBP (p ≤ 0.05). The proportion of participants classified as having hypertension and uncontrolled BP was 11.8% and 15.0% lower when using usual-care BP compared to guideline-concordant BP, respectively. Fifty-one (24.8%) respondents were advised incorrect treatment based on usual-care BP measurement. The Bland-Altman plot showed that limits of agreement were wider than within the 10 mmHg clinical reference range and unacceptable for clinical purposes.Conclusion: The usual-care and guideline-concordant BP measurement protocols were significantly different, and the disparity had significant consequences on the diagnosis and treatment of hypertension. Health workers should strictly adhere to the guidelines on BP measurement to avoid mismanagement of patients

Impact of comprehensive cardiovascular risk reduction programme on risk factor clustering associated with elevated blood pressure in an Indian industrial population.

Background & objectives: Cardiovascular risk factors clustering associated with blood pressure (BP) has not been studied in the Indian population. This study was aimed at assessing the clustering effect of cardiovascular risk factors with suboptimal BP in Indian population as also the impact of risk reduction interventions. Methods: Data from 10543 individuals collected in a nation-wide surveillance programme in India were analysed. The burden of risk factors clustering with blood pressure and coronary heart disease (CHD) was assessed. The impact of a risk reduction programmme on risk factors clustering was prospectively studied in a sub-group. Results: Mean age of participants was 40.9 ± 11.0 yr. A significant linear increase in number of risk factors with increasing blood pressure, irrespective of stratifying using different risk factor thresholds was observed. While hypertension occurred in isolation in 2.6 per cent of the total population, co-existence of hypertension and >3 risk factors was observed in 12.3 per cent population. A comprehensive risk reduction programme significantly reduced the mean number of additional risk factors in the intervention population across the blood pressure groups, while it continued to be high in the control arm without interventions (both within group and between group P<0.001). The proportion of ‘low risk phenotype’ increased from 13.4 to 19.9 per cent in the intervention population and it was decreased from 27.8 to 10.6 per cent in the control population (P<0.001). The proportion of individuals with hypertension and three more risk factors decreased from 10.6 to 4.7 per cent in the intervention arm while it was increased from 13.3 to 17.8 per cent in the control arm (P<0.001). Interpretation & conclusions: Our findings showed that cardiovascular risk factors clustered together with elevated blood pressure and a risk reduction programme significantly reduced the risk factors burden.

Study of blood pressure and blood sugar levels in adolescence and comparison with body mass index.

Background: Worldwide prevalence of overweight and obesity is increasing and its consequences prompted the WHO to designate obesity as a global epidemic in 2002. Being overweight is a risk factor for significant illness, especially diabetes and hypertension in adult life. Objectives : To study the blood pressure and blood sugar levels and lifestyle parameters in adolescence and comparison with body mass index. Materials and Methods: In a prospective case control study, out of the 1000 screened, a total of 200 adolescents were considered out of which 100 were with high body mass index (BMI) and the other 100 were with normal BMI. Height, weight, BMI, waist hip ratio (WHR), blood pressure (BP), BSL, and associated risk factors like physical activity, fast food consumption, and computer/television watching were measured and screened. Results and Observations: 109 (54.5%) males and 91 (45.5%) females were included. Maximum number [90 (45%)] of adolescents screened were in the age group of 17-19 years, while 54 (27%) and 56 (28%) adolescents were in the age group of 10-13 years and 14-16 years, respectively. According to CDC charts 2000, prevalence of overweight was 24% which was double when compared to WHO charts 2007. There was significant difference in prevalence of obesity; according to CDC chart it was 26%, whereas according to WHO chart it was 39%. The difference in blood pressures between cases and controls as per both CDC and WHO charts was found to be statistically significant (P < 0.0001). Positive family history of hypertension has a highly significant correlation (P < 0.001) with BMI. Blood sugar level (BSL) was significantly higher in cases (high BMI) when compared to controls (normal BMI). The comparison of WHR in the study group showed highly significant correlation ( P < 0.0001) between cases and controls. The present study shows highly significant correlation of physical activity ( P < 0.0001) and fast food ( P < 0.05) between cases and controls, whereas there was no significant correlation of computer/television watching ( P > 0.05) with BMI. Conclusion: The adolescents seem to have become heavier owing to environmental influences on growth patterns. So, a consideration should be given to shift the cut-offs for overweight and obesity to higher BMI percentiles if recent growth charts are to be followed. Adolescents with a BMI above the 95 th percentile (obese) are most likely to have obesity-related health risks.