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Yang Y, Jiang H, Yang H, Hou X, Wu T, Pan Y, Xie X. Multimodal Data Integration Enhance Longitudinal Prediction of New-Onset Systemic Arterial Hypertension Patients with Suspected Obstructive Sleep Apnea. Rev Cardiovasc Med 2024; 25:258. [PMID: 39139418 PMCID: PMC11317349 DOI: 10.31083/j.rcm2507258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 11/14/2023] [Accepted: 12/12/2023] [Indexed: 08/15/2024] Open
Abstract
Background It is crucial to accurately predict the disease progression of systemic arterial hypertension in order to determine the most effective therapeutic strategy. To achieve this, we have employed a multimodal data-integration approach to predict the longitudinal progression of new-onset systemic arterial hypertension patients with suspected obstructive sleep apnea (OSA) at the individual level. Methods We developed and validated a predictive nomogram model that utilizes multimodal data, consisting of clinical features, laboratory tests, and sleep monitoring data. We assessed the probabilities of major adverse cardiac and cerebrovascular events (MACCEs) as scores for participants in longitudinal cohorts who have systemic arterial hypertension and suspected OSA. In this cohort study, MACCEs were considered as a composite of cardiac mortality, acute coronary syndrome and nonfatal stroke. The least absolute shrinkage and selection operator (LASSO) regression and multiple Cox regression analyses were performed to identify independent risk factors for MACCEs among these patients. Results 448 patients were randomly assigned to the training cohort while 189 were assigned to the verification cohort. Four clinical variables were enrolled in the constructed nomogram: age, diabetes mellitus, triglyceride, and apnea-hypopnea index (AHI). This model accurately predicted 2-year and 3-year MACCEs, achieving an impressive area under the receiver operating characteristic (ROC) curve of 0.885 and 0.784 in the training cohort, respectively. In the verification cohort, the performance of the nomogram model had good discriminatory power, with an area under the ROC curve of 0.847 and 0.729 for 2-year and 3-year MACCEs, respectively. The correlation between predicted and actual observed MACCEs was high, provided by a calibration plot, for training and verification cohorts. Conclusions Our study yielded risk stratification for systemic arterial hypertension patients with suspected OSA, which can be quantified through the integration of multimodal data, thus highlighting OSA as a spectrum of disease. This prediction nomogram could be instrumental in defining the disease state and long-term clinical outcomes.
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Affiliation(s)
- Yi Yang
- Xinjiang Medical University, 830011 Urumqi, Xinjiang, China
- Department of Cardiology, The Fourth Affiliated Hospital of Xinjiang Medical University, 830099 Urumqi, Xinjiang, China
| | - Haibing Jiang
- Department of Cardiology, The Fourth Affiliated Hospital of Xinjiang Medical University, 830099 Urumqi, Xinjiang, China
| | - Haitao Yang
- Xinjiang Medical University, 830011 Urumqi, Xinjiang, China
| | - Xiangeng Hou
- Department of Hypertension, The First Affiliated Hospital of Xinjiang Medical University, 830011 Urumqi, Xinjiang, China
| | - Tingting Wu
- Department of Hypertension, The First Affiliated Hospital of Xinjiang Medical University, 830011 Urumqi, Xinjiang, China
| | - Ying Pan
- Xinjiang Medical University, 830011 Urumqi, Xinjiang, China
| | - Xiang Xie
- Department of Hypertension, The First Affiliated Hospital of Xinjiang Medical University, 830011 Urumqi, Xinjiang, China
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Blair J, Kempf MC, Dionne JA, Causey-Pruitt Z, Wise JM, Jackson EA, Muntner P, Hanna DB, Kizer JR, Fischl MA, Ofotokun I, Adimora AA, Gange SJ, Brill IK, Levitan EB. Disparities in Hypertension Prevalence, Awareness, Treatment, and Control Among Women Living With and Without HIV in the US South. Open Forum Infect Dis 2024; 11:ofad642. [PMID: 38196400 PMCID: PMC10776242 DOI: 10.1093/ofid/ofad642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 12/15/2023] [Indexed: 01/11/2024] Open
Abstract
Background Hypertension-related diseases are major causes of morbidity among women living with HIV. We evaluated cross-sectional associations of race/ethnicity and HIV infection with hypertension prevalence, awareness, treatment, and control. Methods Among women recruited into Southern sites of the Women's Interagency HIV Study (2013-2015), hypertension was defined as (1) systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg according to clinical guidelines when data were collected, (2) self-report of hypertension, or (3) use of antihypertensive medication. Awareness was defined as self-report of hypertension, and treatment was self-report of any antihypertensive medication use. Blood pressure control was defined as <140/90 mm Hg at baseline. Prevalence ratios for each hypertension outcome were estimated through Poisson regression models with robust variance estimators adjusted for sociodemographic, behavioral, and clinical risk factors. Results Among 712 women, 56% had hypertension and 83% were aware of their diagnosis. Of those aware, 83% were using antihypertensive medication, and 63% of those treated had controlled hypertension. In adjusted analyses, non-Hispanic White and Hispanic women had 31% and 48% lower prevalence of hypertension than non-Hispanic Black women, respectively. Women living with HIV who had hypertension were 19% (P = .04) more likely to be taking antihypertension medication when compared with women living without HIV. Conclusions In this study population of women living with and without HIV in the US South, the prevalence of hypertension was lowest among Hispanic women and highest among non-Hispanic Black women. Despite similar hypertension prevalence, women living with HIV were more likely to be taking antihypertensive medication when compared with women living without HIV.
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Affiliation(s)
- Jessica Blair
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Mirjam-Colette Kempf
- Schools of Nursing, Public Health, and Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Jodie A Dionne
- Division of Infectious Diseases, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Zenoria Causey-Pruitt
- Division of Infectious Diseases, Department of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Jenni M Wise
- School of Nursing, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Elizabeth A Jackson
- Division of Cardiovascular Disease, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Paul Muntner
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - David B Hanna
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NewYork, USA
| | - Jorge R Kizer
- Cardiology Section, SanFrancisco Veterans Health Care System, and Departments of Medicine, Epidemiology, and Biostatistics, University of California San Francisco, San Francisco, California, USA
| | - Margaret A Fischl
- Division of Infectious Diseases, Department of Medicine, Miller School of Medicine, University of Miami, Miami, Florida, USA
| | - Igho Ofotokun
- Division of Infectious Diseases, School of Medicine, Emory University, Atlanta, Georgia, USA
| | - Adaora A Adimora
- Division of Infectious Diseases, Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Stephen J Gange
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Ilene K Brill
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Emily B Levitan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
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Liuzzo G, Volpe M. 24 Hour blood pressure monitoring is a better predictor of mortality than clinic blood pressure in a large cohort of primary care patients: what is the impact on clinical practice? Eur Heart J 2023; 44:2802-2804. [PMID: 37322849 DOI: 10.1093/eurheartj/ehad400] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/17/2023] Open
Affiliation(s)
- Giovanna Liuzzo
- Department of Cardiovascular Medicine, Fondazione Policlinico Universitario A. Gemelli-IRCCS, Largo A. Gemelli, 8 - 00168 Rome, Lazio, Italy
- Department of Cardiovascular and Pulmonary Sciences, Catholic University School of Medicine, Largo F. Vito 1, 00168 Rome, Lazio, Italy
| | - Massimo Volpe
- Department of Clinical and Molecular Medicine, Sapienza University of Rome and IRCCS San Raffaele Rome, Via di Grottarossa, 1035 Rome, Italy
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Boriani G, Venturelli A, Imberti JF, Bonini N, Mei DA, Vitolo M. Comparative analysis of level of evidence and class of recommendation for 50 clinical practice guidelines released by the European Society of Cardiology from 2011 to 2022. Eur J Intern Med 2023; 114:1-14. [PMID: 37169634 DOI: 10.1016/j.ejim.2023.04.020] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 04/11/2023] [Accepted: 04/22/2023] [Indexed: 05/13/2023]
Abstract
BACKGROUND The European Society of Cardiology (ESC) clinical practice guidelines are essential tools for decision-making. AIM To analyze the level of evidence (LOE) and the class of recommendations in the ESC guidelines released in the last 12 years. METHODS We evaluated 50 ESC guidelines released from 2011 to 2022, related to 27 topics and categorized them into seven macro-groups. We analyzed every recommendation in terms of LOE and class of recommendation, calculating their relative proportions and changes over time in consecutive editions of the same guideline. RESULTS A total of 6972 recommendations were found, with an increase in number per year over time. Among the 50 ESC guidelines, the proportional distribution of classes of recommendations was 49% for Class I, 29% for Class IIa, 15% for Class IIb, and 8% for Class III. Overall, 16% of the recommendations were classified as LOE A, 31% LOE B and 53% LOE C. The field of preventive cardiology had the largest proportion of LOE A, while the lowest was in the field of valvular, myocardial, pericardial and pulmonary diseases. The overall proportion of LOE A recommendations in the most recent guidelines compared to their prior versions increased from 17% to 20%. CONCLUSIONS The recommendations included in the ESC guidelines widely differ in terms of quality of evidence, with only 16% supported by the highest quality of evidence. Although a slight global increase in LOE A recommendations was observed in recent years, further scientific research efforts are needed to increase the quality of evidence.
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Affiliation(s)
- Giuseppe Boriani
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo, 71, Modena 41124, Italy.
| | - Andrea Venturelli
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo, 71, Modena 41124, Italy
| | - Jacopo F Imberti
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo, 71, Modena 41124, Italy; Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Niccolò Bonini
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo, 71, Modena 41124, Italy; Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
| | - Davide A Mei
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo, 71, Modena 41124, Italy
| | - Marco Vitolo
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Via del Pozzo, 71, Modena 41124, Italy; Clinical and Experimental Medicine PhD Program, University of Modena and Reggio Emilia, Modena, Italy
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