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Modeled state-level estimates of hypertension prevalence and undiagnosed hypertension among US adults during 2013-2015.

ABSTRACT: Hypertension affects about one in three US adults, from recent surveillance, or four in nine based on the 2017 ACC/AHA Hypertension Guideline; about half of them have their blood pressure controlled, and nearly one in six are unaware of their hypertension status. National estimates of hypertension awareness, treatment, and control in the United States are traditionally based on measured BP from National Health and Nutrition Examination Survey (NHANES); however, at the state level, only self-reported hypertension awareness and treatment are available from BRFSS. We used national- and state-level representative samples of adults (≥20 years) from NHANES 2011-2014 and BRFSS 2013 and 2015, respectively. The authors generated multivariable logistic regression models using NHANES to predict the probability of hypertension and undiagnosed hypertension and then applied the fitted model parameters to BRFSS to generate state-level estimates. The predicted prevalence of hypertension was highest in Mississippi among adults (42.4%; 95% CI: 41.8-43.0) and among women (42.6%; 41.8-43.4) and highest in West Virginia among men (43.4%; 42.2-44.6). The predicted prevalence was lowest in Utah 23.7% (22.8-24.6), 26.4% (25.0-27.7), and 21.0% (20.0-22.1) for adults, men, and women, respectively. Hypertension predicted prevalence was higher in most Southern states and higher among men than women in all states except Mississippi and DC. The predicted prevalence of undiagnosed hypertension ranged from 4.1% (3.4-4.8; Kentucky) to 6.5% (5.5-7.5; Hawaii) among adults, from 5.0% (4.0-5.9; Kentucky) to 8.3% (6.9-9.7; Hawaii) among men, and from 3.3% (2.5-4.1; Kentucky) to 4.8% (3.4-6.1; Vermont) among women. Undiagnosed hypertension was more prevalent among men than women in all states and DC.

SUBMITTER: Park S

PROVIDER: S-EPMC8031025 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:IntroductionImproving hypertension control is a national priority. Electronic health record data have the potential to augment traditional surveillance systems. This study aimed to assess hypertension prevalence and control at the state level using a previously established electronic health record-based phenotype for hypertension.MethodsAdult patients (N=11,031,368) were included from the IQVIA ambulatory electronic medical record-U.S. 2019 data set. IQVIA ambulatory electronic medical record comprises electronic health records from >100,000 providers and includes patients from every U.S. state and Washington DC. Authors compared hypertension prevalence and control estimates against those from the Behavioral Risk Factor Surveillance System 2019. Results were age-standardized and stratified by state and sociodemographic characteristics. Statistical analyses were conducted in 2022-2023.ResultsIQVIA ambulatory electronic medical record-U.S. patients had a median age of 55 years, and 56.7% were women. Overall age-standardized hypertension prevalence was higher in IQVIA ambulatory electronic medical record-U.S. (35.0%) than in the Behavioral Risk Factor Surveillance System (29.7%), however, state-level geographic patterns were similar, with the highest burden in the South and Appalachia. Similar patterns were also observed by sociodemographic characteristics in both data sets: hypertension prevalence was higher in older age groups (than younger), men (than women), and Black patients (than other races). Hypertension control varied widely across states: among states with >1% data coverage, control rates were lowest in Nevada (51.1%), Washington DC (52.0%), and Mississippi (55.2%); highest in Kansas (73.4%), New Jersey (72.3%), and Iowa (71.9%).ConclusionsThis study provided the first-ever estimates of hypertension control for all states and Washington DC. Electronic health record-based surveillance could support hypertension prevention and control efforts at the state level.

Project description:BackgroundNon-communicable diseases, including hypertension (HTN), are increasingly recognized as important causes of morbidity and mortality among people living with HIV (PLHIV) in resource-limited settings. The goals of this study were to determine the prevalence of HTN among PLHIV in Senegal over time and to identify predictors of HTN among HIV-positive versus HIV-negative adults.MethodsWe conducted a retrospective study using data from individuals enrolled in previous studies in Senegal from 1994-2015. Blood pressure (BP) measurements taken during study visits were used for analysis. HTN was defined as systolic BP?140 or diastolic BP?90. We used logistic regression to identify predictors of HTN.ResultsWe analyzed data from 2848 adults (1687 HIV-positive, 1161 HIV-negative). Among PLHIV, the prevalence of HTN increased from 11% during 1994-1999 to 22% during 2010-2015. Among HIV-negative individuals, the prevalence of HTN increased from 16% to 32%. Among both groups, the odds of HTN more than doubled from 1994-1999 to 2010-2015 (HIV-positive OR 2·4, 95% CI 1·1-5·0; HIV-negative OR 2·6, 95% CI 1·5-4·6). One quarter of all individuals with HTN had stage 2 HTN. The strongest risk factor for HTN was obesity (HIV-positive OR 3·2, 95% CI 1·7-5·8; p<0·01; HIV-negative OR 7·8, 95% CI 4·5-13·6; p<0·01). Male sex and age ?50 were also predictive of HTN among both groups. Among HIV-positive subjects, WHO stage 1 or 2 disease was predictive of HTN and among HIV-negative subjects, having no formal education was predictive.ConclusionOver the past 20 years, the prevalence of HTN has doubled among both HIV-positive and HIV-negative adults in Senegal. Our study indicates that there is an increasing need for the integration of chronic disease management into HIV programs in Senegal. Furthermore, our findings highlight the need for enhanced prevention, recognition, and management of non-communicable diseases, including hypertension and obesity, among both HIV-positive and HIV-negative individuals in Senegal.

Project description:BackgroundThe absolute number of pneumonia deaths in India has declined substantially since 2000. However, pneumonia remains a major cause of morbidity in children in the country. We used a risk factor-based model to estimate pneumonia and severe pneumonia morbidity in Indian states in 2000 and 2015.MethodsIn this modelling study, we estimated the burden of pneumonia and severe pneumonia in children younger than 5 years using a risk factor-based model. We did a systematic literature review to identify published data on the incidence of pneumonia from community-based longitudinal studies and calculated summary estimates. We estimated state-specific incidence rates for WHO-defined clinical pneumonia between 2000 and 2015 using Poisson regression and the prevalence of risk factors in each state was obtained from National Family Health Surveys. From clinical pneumonia studies, we identified studies reporting the proportion of clinical pneumonia cases with lower chest wall indrawing to estimate WHO-defined severe pneumonia cases. We used the estimate of the proportion of cases with lower chest wall indrawing to estimate WHO-defined severe pneumonia cases for each state.FindingsBetween 2000 and 2015, the estimated number of pneumonia cases in Indian HIV-uninfected children younger than 5 years decreased from 83·8 million cases (95% uncertainty interval [UI] 14·0-300·8) to 49·8 million cases (9·1-174·2), representing a 41% reduction in pneumonia cases. The incidence of pneumonia in children younger than 5 years in India was 657 cases per 1000 children (95% UI 110-2357) in 2000 and 403 cases per 1000 children (74-1408) in 2015. The estimated national pneumonia case fatality rate in 2015 was 0·38% (95% UI 0·11-2·10). In 2015, the estimated number of severe pneumonia cases was 8·4 million (95% UI 1·2-31·7), with an incidence of 68 cases per 1000 children (9-257) and a case fatality ratio of 2·26% (0·60-16·30). In 2015, the estimated number of pneumonia cases in HIV-uninfected children was highest in Uttar Pradesh (12·4 million [95% UI 2·1-45·0]), Bihar (7·3 million [1·3-26·1]), and Madhya Pradesh (4·6 million [0·7-17·0]). Between 2000 and 2015, the greatest reduction in pneumonia cases was observed in Kerala (82% reduction). In 2015, pneumonia incidence was greater than 500 cases per 1000 children in two states: Uttar Pradesh (565 cases per 1000 children [95% UI 94-2047]) and Madhya Pradesh (563 cases per 1000 children [88-2084]).InterpretationThe estimated number of pneumonia and severe pneumonia cases among children younger than 5 years in India decreased between 2000 and 2015. Improvements in socioeconomic indicators and specific government initiatives are likely to have contributed to declines in the prevalence of pneumonia risk factors in many states. However, pneumonia incidence in many states remains high. The introduction of new vaccines that target pneumonia pathogens and reduce risk factors will help further reduce the burden of pneumonia in the country.FundingBill & Melinda Gates Foundation.

Project description:In the United States, where coronary heart disease (CHD) is the leading cause of mortality, CHD risk assessment is a priority and accurate blood pressure (BP) measurement is essential.Hypertension estimates in the National Longitudinal Study of Adolescent Health (Add Health), Wave IV (2008)-a nationally representative field study of 15,701 participants aged 24-32-was referenced against NHANES (2007-2008) participants of the same age. We examined discordances in hypertension, and estimated the accuracy and reliability of blood pressure in the Add Health study.Hypertension rates (BP: ? 140/90 mm Hg) were higher in Add Health compared with NHANES (19% vs. 4%), but self-reported history was similar (11% vs. 9%) among adults aged 24-32. Survey weights and adjustments for differences in participant characteristics, examination time, use of antihypertensive medications, and consumption of food/caffeine/cigarettes before blood pressure measurement had little effect on between-study differences in hypertension estimates. Among Add Health participants interviewed and examined twice (full and abbreviated interviews), blood pressure was similar, as was blood pressure at the in-home and in-clinic examinations conducted by NHANES III (1988-1994). In Add Health, there was minimal digit preference in blood pressure measurements; mean bias never exceeded 2 mm Hg; and reliability (estimated as intraclass correlation coefficients) was 0.81 and 0.68 for systolic and diastolic BPs, respectively.The proportion of young adults in NHANES reporting a history of hypertension was twice that with measured hypertension, whereas the reverse was found in Add Health. Between-survey differences were not explained by digit preference, low validity, or reliability of Add Health blood pressure data, or by salient differences in participant selection, measurement context, or interview content. The prevalence of hypertension among Add Health Wave IV participants suggests an unexpectedly high risk of cardiovascular disease among US young adults and warrants further scrutiny.

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Modeled state-level estimates of hypertension prevalence and undiagnosed hypertension among US adults during 2013-2015.

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