Journal of Clinical Hypertension最新文献

{"title":"Usefulness of Arterial Stiffness as an Integrated Marker of Cardiovascular Risk","authors":"Grethzel Prado,&nbsp;María J. Forner,&nbsp;Oscar Calaforra,&nbsp;Sara Vela,&nbsp;Carlos Bea,&nbsp;Gernot Pichler,&nbsp;Ana de Gracia,&nbsp;Lucas Serna,&nbsp;Enrique Rodilla,&nbsp;Josep Redon,&nbsp;Fernando Martínez-García","doi":"10.1111/jch.70038","DOIUrl":"https://doi.org/10.1111/jch.70038","url":null,"abstract":"<p>We analyzed the usefulness of the carotid-femoral pulse wave velocity (cfPWV) as an integrated marker for hypertension (HTN)-mediated organ damage (HMOD) and cardiovascular (CV) risk in a cohort with repeated measurements. A total of 1031 patients, 80% of whom had HTN, underwent cfPWV determinations by SphygmoCor. An HMOD score was developed, including microalbuminuria, left ventricular hypertrophy (LVH), intima-media thickness (IMT), and carotid plaques. CV complications included atrial fibrillation (AF), heart failure (HF), stroke, ischemic heart disease (IHD), peripheral artery disease (PAD), or CV death. Survival curves based on Cox regression adjusted for age and systolic blood pressure (SBP), along with Harrell's <i>C</i> statistic, were assessed. There was a trend toward higher cfPWV across categories of the HMOD score. Significant correlations were found among different AS parameters and blood pressure (BP) levels. Age and SBP were highly correlated with cfPWV. Among the 174 patients with at least two cfPWV measurements, there were 12 CV complications over a follow-up period of 2.4 years. The first and second cfPWV measurements, as well as the delta values, were significantly higher in those with CV complications, with most patients experiencing an increase in PWV during follow-up of ≥ 1 m/s. Survival curves significantly differed among tertiles of PWV and the delta, particularly for the second PWV determination, which also showed the highest predictive value (Harrell's <i>C</i> = 0.86). The optimal threshold to predict complications was 9.10 m/s. Our findings suggest that cfPWV represents a promising integrated marker of HMOD, potentially serving as a surrogate endpoint for CV risk.</p>","PeriodicalId":50237,"journal":{"name":"Journal of Clinical Hypertension","volume":"27 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jch.70038","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Renal Denervation—“Gizmo Idolatry” Fact Checker","authors":"Markus P. Schlaich,&nbsp;Murray D. Esler","doi":"10.1111/jch.70039","DOIUrl":"https://doi.org/10.1111/jch.70039","url":null,"abstract":"<p>We read with interest the eloquent opinion piece by Dr. Messerli [<span>1</span>] questioning the utility of a “glorified high-tech gadget,” also known as renal denervation (RDN), as an adjunct therapeutic approach to lower blood pressure (BP) in patients with uncontrolled hypertension. Views expressed should build on the entirety of scientific evidence available—this is perhaps where the viewpoint has some shortcomings.</p><p>The critical role of renal nerves in blood pressure regulation is undoubted, as is the experimental evidence for BP lowering with RDN [<span>2</span>]. When we, with the late Henry Krum, performed the first two renal denervation trials out of Melbourne [<span>3</span>], clinical need coupled with our earlier discoveries of the neural pathophysiology of hypertension [<span>4</span>], not a gadget early adopter mentality, provided the motivation.</p><p>Pharmacotherapy is the mainstay of antihypertensive therapy. Professor Messerli makes special mention of amlodipine, a powerful antihypertensive drug we all use frequently in our practices, mostly in combination with other drug classes. However, as noted by the former US Surgeon General C. Everett Koop: “Drugs don't work in patients who don't take them…”. Adherence and persistence rates for amlodipine in a usual-care setting have been reported to be 53% at 12 months [<span>5</span>], alternatives should be explored.</p><p>Comparing RDN with beta-blockade is problematic. Inhibiting sympathetic outflow to a key regulatory organ such as the kidney via interference with both efferent sympathetic and afferent sensory renal nerves is fundamentally different from blocking an adrenergic receptor. A case in point is that BP response to RDN is not altered by beta-blockade.</p><p>The magnitude of the mean BP fall with RDN is moderate and can vary substantially, perhaps a function of whether the underlying dominant pathophysiology is present or not in individual patients.</p><p>The safety profile of RDN across all studies and registries with every device available has been demonstrated to be very favorable, notwithstanding the potential risk that comes with any interventional vascular approach. Renal artery stenosis can occur naturally, and even beyond 70% stenoses treatment recommendations favor medical therapy.</p><p>Finally, the durability of BP lowering is critical. Although observational, multiple cohort studies out to ∼10 years after RDN report improved control of ambulatory systolic (12–16 mmHg) and diastolic (8–10 mmHg) on similar or less numbers of antihypertensive drugs. Histologic assessment of renal nerves after RDN demonstrate alterations of nerve integrity that make functionally relevant regrowth extremely unlikely.</p><p>No form of idolatry is helpful, growing scientific evidence is.</p>","PeriodicalId":50237,"journal":{"name":"Journal of Clinical Hypertension","volume":"27 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jch.70039","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic Value of Let-7a-5p in Essential Hypertension","authors":"Lan Wang,&nbsp;Qianqian Zhu,&nbsp;Bin Cheng,&nbsp;Nan Jiang,&nbsp;Changwu Dong","doi":"10.1111/jch.70033","DOIUrl":"https://doi.org/10.1111/jch.70033","url":null,"abstract":"<p>This study aimed to investigate the role of let-7a-5p in the pathogenesis of essential hypertension (EH) and its correlation with the renin-angiotensin-aldosterone system (RAAS) biomarkers. Ninety-eight EH patients and 24 healthy controls (HC) enrolled in the study were assayed for the relative expression of let-7a-5p in plasma by quantitative real-time polymerase chain reaction (Q-PCR), and biomarkers of the RAAS system, including angiotensin-converting enzyme 2 (ACE2), Ang (1-7), MAS1, angiotensin-converting enzyme (ACE), angiotensin II (Ang II), and angiotensin II type 1 receptor (AT1R), were determined by enzyme-linked immunosorbent assay (ELISA) The expression levels of the biomarkers of RAAS system were determined. The results showed that the expression levels of let-7a-5p in the plasma of EH patients were remarkably higher than those of HC. The prediction model of combined let-7a-5p showed high accuracy by constructing a subject operating characteristic (ROC) curve with an area under the curve (AUC) of 0.885, and the reliability of the model was further verified by the Hosmer–Lemeshow (H–L) goodness-of-fit test, the Model Calibration Curve, and the Decision Curve Analysis. Spearman correlation analysis revealed that the expression of let-7a-5p was positively correlated with ACE (<i>r</i> = 0.352, <i>p</i> &lt; 0.001), and mediation analysis indicated that ACE partially mediated between let-7a-5p and the development of hypertension. The present study concludes with the potential of let-7a-5p as a companion diagnostic biomarker for EH. It suggests that there may be a complex regulatory mechanism between it and specific RAAS biomarkers, which provides a new perspective on the pathogenesis and diagnosis of EH.</p>","PeriodicalId":50237,"journal":{"name":"Journal of Clinical Hypertension","volume":"27 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jch.70033","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143689973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Temporal Patterns in Blood Pressure Management Before and After Recent Clinical Trials and Guideline Recommendations","authors":"Eric J. Brandt,&nbsp;Craig J. Beavers,&nbsp;Zhuxuan Fu,&nbsp;Erica S. Spatz,&nbsp;Philip G. Jones,&nbsp;Suzanne V. Arnold,&nbsp;Nihar R. Desai","doi":"10.1111/jch.70030","DOIUrl":"https://doi.org/10.1111/jch.70030","url":null,"abstract":"<p>We aimed to study trends in achieving blood pressure (BP) goals, antihypertensive prescribing, and whether clinician behavior changed in temporal relationship to the JNC-8 (October 1, 2014), SPRINT results (November 9, 2015), and the 2017 hypertension guideline (November 13, 2017). We used the National Cardiovascular Data Registry (NCDR) Practice INNovation and CLinical Excellence (PINNACLE) registry and studied patients with hypertension aged &gt;65 years (<i>n</i> = 3 678 774). We found a statistically significant, albeit small and minimally relevant, increase from 2013 to 2018 in achieving office-based SBP.</p>","PeriodicalId":50237,"journal":{"name":"Journal of Clinical Hypertension","volume":"27 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jch.70030","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143646092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cluster-Based Analysis of Lipid Profiles and Inflammation in Association With Cardiovascular Disease Incidence and Mortality: A 17.5-Year Longitudinal Study","authors":"A-Ra Cho,&nbsp;Seok-Jae Heo,&nbsp;Taehwa Han,&nbsp;Yu-Jin Kwon","doi":"10.1111/jch.70035","DOIUrl":"https://doi.org/10.1111/jch.70035","url":null,"abstract":"<p>Cardiovascular mortality is a leading cause of global deaths, with aging, dyslipidemia, and inflammation recognized as key risk factors. This study aimed to identify distinct cardiovascular risk profiles using cluster analysis based on lipid profiles and inflammatory markers in a large cohort of middle-aged Korean adults. Our analysis included 8115 participants without cardiovascular disease (CVD) at baseline from the Korean Genome and Epidemiology Study. We applied the K-means clustering algorithm to conduct a cluster analysis of six normalized variables: age, total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), non-HDL-C, and CRP. Multivariable Cox proportional-hazard regression analysis was performed to assess the hazard ratio with 95% confidence interval for CVD incidence, CVD mortality, major adverse cardiac event (MACE) mortality, and all-cause mortality. Four clusters were identified based on age, lipids (TC, TG, HDL-C, non-HDL-C), and CRP. Cluster 1 (older age, high CRP) and cluster 2 (high TC, non-HDL-C, insulin resistance) had the highest risks for new-onset CVD, while cluster 1 had the highest risks for all-cause and cardiovascular mortality. Cluster 3 (high HDL-C) showed a lower CVD risk, while cluster 4 (younger age, favorable lipid profile) had the lowest risk across all outcomes. This study highlighted the combined impact of aging, dyslipidemia, and inflammation on CVD risk. The clusters with older age and high inflammation or dyslipidemia had the highest cardiovascular risks, emphasizing the importance of managing these factors in high-risk populations.</p>","PeriodicalId":50237,"journal":{"name":"Journal of Clinical Hypertension","volume":"27 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jch.70035","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143645672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association Between Abdominal Obesity, Body Mass Index, and Hypertension in India: Evidence From a Large Nationally Representative Data","authors":"Rajat Das Gupta,&nbsp;Mohammad Rifat Haider,&nbsp;Simanta Roy,&nbsp;Mohammad Rashidul Hashan,&nbsp;Amrit Baral,&nbsp;Nowrin Tamanna,&nbsp;Ananna Mazumder,&nbsp;Shams Shabab Haider,&nbsp;Biplab Datta","doi":"10.1111/jch.70034","DOIUrl":"https://doi.org/10.1111/jch.70034","url":null,"abstract":"<p>Hypertension prevalence is rising among individuals with abdominal obesity in Southeast Asia, including India, but the relationship between abdominal obesity, body mass index (BMI), and hypertension remains underexplored. This study examines the association between these factors in a nationally representative Indian population aged 20–54 years (males: <i>N</i> = 78 832; females: <i>N</i> = 559 059). We analyzed data from the National Family Health Survey 2019–21 (NFHS-5). Hypertension was defined as a systolic blood pressure (SBP) ≥ 140 mm Hg, diastolic blood pressure (DBP) ≥ 90 mm Hg, or use of blood pressure-lowering medication. Abdominal obesity was defined by waist–hip ratio (&gt;0.90 for men, &gt;0.85 for women). BMI categories were underweight (&lt;18.5 kg/m²), normal (18.5–&lt;25.0 kg/m²), overweight (25.0–&lt;30.0 kg/m²), and obese (≥30.0 kg/m²). Multivariable logistic regression adjusted for demographic and lifestyle factors was used to assess the link between BMI, abdominal obesity, and hypertension. Individuals with both obesity and abdominal obesity had significantly higher odds of hypertension, with males having 3.3 times (95% confidence interval [CI]: 2.9–3.7) and females 2.8 times (95% CI: 2.6–2.9) odds compared to those with normal BMI and no abdominal obesity. Both genders showed increased SBP and DBP by 3.0–5.0 mm Hg when abdominal obesity was present, regardless of BMI. Indian health programs should emphasize the risks of high BMI and abdominal obesity to reduce hypertension.</p>","PeriodicalId":50237,"journal":{"name":"Journal of Clinical Hypertension","volume":"27 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jch.70034","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143645671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Weight-Adjusted Waist Index May Predict Hypertension Plus Hyperuricemia","authors":"Huanhuan Miao,&nbsp;Zhanyang Zhou,&nbsp;Zheng Yin,&nbsp;Xue Li,&nbsp;Yuhui Zhang,&nbsp;Yuqing Zhang,&nbsp;Jian Zhang","doi":"10.1111/jch.70022","DOIUrl":"https://doi.org/10.1111/jch.70022","url":null,"abstract":"<p>The weight-adjusted waist index (WWI) is a novel indicator that could estimate body fat and muscle mass. This study aimed to investigate the relationship between WWI and hypertension plus hyperuricemia (HTN-HUA). The data were obtained from the National Health and Nutrition Examination Survey (NHANES) database from 1999 to 2018. Logistic regression analyses were used to explore the association between WWI with HTN-HUA, hypertension (HTN) alone, and hyperuricemia (HUA) alone. Restricted cubic spline (RCS) analyses were employed to examine potential nonlinear associations. Receiver operating characteristic (ROC) curves were utilized to assess the predictive ability of WWI. A total of 16 294 participants were included, among whom 2280 (12%) were diagnosed with HTN-HUA, 5148 (28%) with HTN alone, and 1252 (9%) with HUA alone. WWI was significantly associated with HTN-HUA, HTN alone, and HUA alone after adjusting for potential confounders. Compared to the lowest quartiles of WWI, the odds ratios of the highest quartiles were 2.13 (95% confidence interval [CI]: 1.59–2.83) for HTN-HUA, 1.28 (95% CI: 1.08–1.5) for HTN alone, and 1.6 (95% CI: 1.18–2.16) for HUA alone. RCS analyses demonstrated a nonlinear association between WWI and HTN-HUA. The fully adjusted model, which included WWI, exhibited a moderate predictive ability for HTN-HUA (area under the curve [AUC]: 0.804, 95% CI 0.796–0.813). The association between WWI and HTN-HUA was more prominent among young individuals and those with normal weight. The study suggested that a significant and nonlinear association between WWI and HTN-HUA. WWI had the potential to facilitate the early detection of HTN-HUA.</p>","PeriodicalId":50237,"journal":{"name":"Journal of Clinical Hypertension","volume":"27 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jch.70022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143645668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on Prediction model of Carotid-Femoral Pulse Wave Velocity: Based on Machine Learning Algorithm","authors":"Minghui Chen,&nbsp;Jing Xiong,&nbsp;Moran Li,&nbsp;Tao Hu,&nbsp;Yi Zhang","doi":"10.1111/jch.70017","DOIUrl":"https://doi.org/10.1111/jch.70017","url":null,"abstract":"<p>Carotid-femoral pulse wave velocity (cf-PWV) is an important but difficult to obtain measure of arterial stiffness and an independent predictor of cardiovascular events and all-cause mortality. The objective of this study was to develop a predictive model for cf-PWV based on brachial-ankle pulse wave velocity (baPWV) and other the accessible clinical parameters.</p><p>This model aims to allow patients to estimate their cf-PWV in advance without the need for direct measurement. We selected participants of the Northern Shanghai community from 2013 to 2022 as the study object. The Pearson correlation coefficient was employed for correlation analysis in feature selection. The linear regression models demonstrated low root mean square error (RMSE), error term (<i>ε</i>), and <i>R</i>² values, indicating good predictive performance. A Cox proportional hazards model revealed a significant association between machine learning-predicted cf-PWV and mortality risk, supporting the validity of prediction model. Using a threshold of cf-PWV greater than 10 m/s as the criterion, a classification prediction model was developed. Shapley Additive Explanations (SHAP) analysis was then applied to the Gradient Boosting model to elucidate the predictive mechanism of the optimal model. Without precise instruments, doctors often cannot determine a patient's cf-PWV. When the cf-PWV value predicted by the machine learning algorithm is high, patients can be recommended for more precise measurements to confirm the prediction and emphasize the importance of follow-up health management and psychological support. It is feasible to use a machine learning algorithm based on baPWV and other readily available clinical parameters to predict cf-PWV.</p>","PeriodicalId":50237,"journal":{"name":"Journal of Clinical Hypertension","volume":"27 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jch.70017","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143646093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of Age on Aldosterone–Renin Ratio in Screening Primary Aldosteronism","authors":"Ning Peng,&nbsp;Zhen Zhang,&nbsp;Yao Xiao,&nbsp;Qianwen Ye,&nbsp;Geru Liu,&nbsp;Mengling Zhen,&nbsp;Yanqing Zheng,&nbsp;Min Luo,&nbsp;Tiejian Jiang","doi":"10.1111/jch.70014","DOIUrl":"https://doi.org/10.1111/jch.70014","url":null,"abstract":"<p>Primary aldosteronism (PA) is the most common endocrine cause of hypertension. The plasma aldosterone-to-renin ratio (ARR) is the most recommended screening tool for PA, but previous studies showed controversy regarding the influence of age on ARR. The aim of the study was to evaluate the impact of age on ARR measured using direct renin concentration (DRC) and its diagnostic value in patients with PA. We retrospectively collected patients with hypertension who attended Xiangya Hospital for PA screening using plasma aldosterone concentration (PAC)/DRC from January 1, 2017 to November 1, 2023. The patients were divided into the groups of PA and essential hypertension (EH) by confirmatory tests. We performed separate correlation analyses of age and DRC, PAC, and ARR, the patients were then further subdivided into four age groups: &lt; 40, 40–49, 50–59, and ≥ 60 years old. Receiver operating characteristic curve and area under the curve (AUC) were used to determine age-specific ARR cutoff values for screening PA. We screened a total of 478 patients, comprising 255 diagnosed with PA (53.35%) and 176 with EH (36.82%). In patients with EH, PAC and DRC decreased with increasing age (<i>p</i> &lt; 0.001, <i>r</i> = –0.34; <i>p</i> &lt; 0.001, <i>r</i> = –0.28), whereas ARR increased with age (<i>p</i> = 0.002, <i>r</i> = 0.22). However, in patients with PA, DRC, PAC, and ARR did not show significant association with age (<i>p</i> = 0.40, 0.54, 0.33). The cutoff values of ARR for screening PA in four groups were 17.49, 20.79, 21.01, and 18.22. The optimal ARR cutoff was 22.52 in the all-ages, with an AUC of 0.948 (95% CI: 0.929, 0.966), sensitivity of 89.4%, and specificity of 85.2%. There was no significant correlation between age and DRC or PAC in patients with PA. Compared to the consensus-recommended cutoff of 37 (pg / mL)/(μIU/mL), a lower ARR cutoff may be more appropriate for screening PA.</p>","PeriodicalId":50237,"journal":{"name":"Journal of Clinical Hypertension","volume":"27 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jch.70014","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143595118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Drug-Related Hypertension: A Disproportionality Analysis Leveraging the FDA Adverse Event Reporting System","authors":"Hao Zhu,&nbsp;Linwei Pan,&nbsp;Hannah Lui,&nbsp;Jing Zhang","doi":"10.1111/jch.70029","DOIUrl":"https://doi.org/10.1111/jch.70029","url":null,"abstract":"<p>Hypertension exerts a significant global disease burden, adversely affecting the well-being of billions. Alarmingly, drug-related hypertension remains an area that has not been comprehensively investigated. Therefore, this study is designed to utilize the adverse event reports (AERs) from the US Food and Drug Administration's Adverse Event Reporting System (FAERS) to more comprehensively identify drugs that may potentially lead to hypertension. Specifically, a total of 207 233 AERs were extracted from FAERS, spanning the time period from 2004 to 2024. Based on these reports, this study presented the top 40 drugs most frequently reported to be associated with post-administration hypertension in different genders. Furthermore, we employed four disproportionality analysis methods, including Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Empirical Bayes Geometric Mean (EBGM), to pinpoint the top three drugs with strongest signals in relation to hypertension across different age and gender subgroups. Some drugs, such as rofecoxib, lenvatinib, and celecoxib, were found to appear on both the frequency and signal strength lists. These results contribute to a more comprehensive understanding of the cardiovascular safety profiles of pharmacological agents, suggesting the necessity of blood pressure monitoring following administration.</p>","PeriodicalId":50237,"journal":{"name":"Journal of Clinical Hypertension","volume":"27 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2025-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jch.70029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143595117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}