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Šlegerová L, Kopečková K. The Cost-Effectiveness of Pertuzumab for the Treatment of Metastatic HER2+ Breast Cancer in Czechia: A Semi-Markov Model Using Cost States. Value Health Reg Issues 2023; 38:118-125. [PMID: 37865065 DOI: 10.1016/j.vhri.2023.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 07/28/2023] [Accepted: 08/02/2023] [Indexed: 10/23/2023]
Abstract
OBJECTIVES This article estimates the cost-effectiveness of adding pertuzumab to the combination of trastuzumab and docetaxel within the first-line treatment for metastatic breast cancer with the amplification of HER2+. METHODS Data from Czech clinical practice recorded in the BREAST register are used. A semi-Markov model with states derived based on the treatment phases (first-line medication, no medication, next-line medication, death) is defined to estimate costs from the healthcare payers' perspective. The benefits are estimated as patient survival until death. The Kaplan-Meier estimates are supplemented by the Cox proportional hazard and the accelerated failure time models to control for patient characteristics. Health-related quality-of-life indicators are derived from relevant literature. RESULTS Based on the used data, adding pertuzumab does not result in statistically significantly longer survival while inducing higher treatment costs (€163 360 compared with €90 112 per patient in 2018 prices). Statistically longer survival was not supported by the log-rank test (P = .97), the Cox proportional hazard model, or the accelerated failure time model using the Gompertz distribution. The incremental cost-effectiveness ratio (€87 200) substantially exceeds the willingness to pay for 1 quality-adjusted life-year (€46 500). CONCLUSIONS This analysis indicates that adding pertuzumab cannot be considered cost-effective in Czechia. However, the observed phenomenon may be attributed to the limited duration of patient follow-up periods at the time of the study's execution (mean of 20-21 months). Importantly, we find that using states connected to specific treatment phases is appropriate for a retrospective analysis of patient-level clinical data.
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Affiliation(s)
- Lenka Šlegerová
- Institute of Economic Studies, Faculty of Social Sciences, Charles University, Prague, Czechia.
| | - Kateřina Kopečková
- Department of Oncology of the Second Faculty of Medicine of Charles University and University Hospital in Motol, Prague, Czechia
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Tito K, Gebremariam GT, Beyene K, Sander B, Gebretekle GB. Health-related quality of life and treatment satisfaction of patients with cardiovascular disease in Ethiopia. Front Public Health 2022; 10:972378. [PMID: 36299740 PMCID: PMC9589146 DOI: 10.3389/fpubh.2022.972378] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 09/13/2022] [Indexed: 01/25/2023] Open
Abstract
Purpose Cardiovascular disease is the most prevalent health problem associated with poorer health-related quality of life (HRQoL). We aimed to assess HRQoL and treatment satisfaction of cardiovascular disease patients in Ethiopia. Methods A cross-sectional survey was conducted among adults attending the outpatient cardiac clinic at Tikur Anbessa Specialized Hospital from July to September 2021. Patients were recruited consecutively during follow-up visits. Treatment Satisfaction Questionnaire for Medication and European Quality of life questionnaires were used to evaluate treatment satisfaction and HRQoL, respectively. Kruskal-Wallis and Mann-Whitney U-tests were used to compare utility weights between patient subgroups. Utility values were computed using disutility weights of the Ethiopian general population derived using a hybrid regression model. Tobit regression modeling was used to explore factors associated with poor HRQoL. Statistical significance was determined at p < 0.05. Results A total of 357 patients participated in the study with a mean age of 49.3 ± 17.8 years. The most frequently reported health problems were pain/discomfort (75.4%), followed by mobility (73.4%). The median (interquartile range) European Quality questionnaires five dimensions with five levels utility (EQ-5D-5L) and European Quality of life Visual Analog Scale scores were 0.84 (0.55-0.92) and 70.0 (50.0-85.0), respectively. The highest and lowest mean (standard deviation) treatment satisfaction scores were for the convenience and safety satisfaction dimensions: 87.7 (17.9) and 53.1 (33.5), respectively. Unemployment, older age, previous hospital admission, non-adherence to lifestyle modification, and presence of three or more cardiovascular disease factors were significantly negatively associated with HRQoL. Conclusions Overall, the study found that cardiovascular disease had a profound negative effect on HRQoL and patient treatment satisfaction. We suggest that interventions to enhance HRQoL and treatment satisfactions should focus on modifiable associated factors including lifestyle changes and controlling disease progression.
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Affiliation(s)
- Kebron Tito
- School of Pharmacy, Addis Ababa University, Addis Ababa, Ethiopia
| | - Girma Tekle Gebremariam
- School of Pharmacy, Addis Ababa University, Addis Ababa, Ethiopia,*Correspondence: Girma Tekle Gebremariam
| | - Kebede Beyene
- Department of Pharmaceutical and Administrative Sciences, University of Health Sciences and Pharmacy in St. Louis, St. Louis, MO, United States
| | - Beate Sander
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada,Toronto Health Economics and Technology Assessment (THETA) Collaborative, University Health Network, Toronto, ON, Canada,Institute for Clinical Evaluative Sciences (ICES), Toronto, ON, Canada,Public Health Ontario, Toronto, ON, Canada
| | - Gebremedhin Beedemariam Gebretekle
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada,Toronto Health Economics and Technology Assessment (THETA) Collaborative, University Health Network, Toronto, ON, Canada
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Chinese Guideline on the Primary Prevention of Cardiovascular Diseases. CARDIOLOGY DISCOVERY 2021; 1:70-104. [DOI: 10.1097/cd9.0000000000000025] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2023]
Abstract
Abstract
Cardiovascular disease is the leading cause of mortality in China. Primary prevention of cardiovascular disease with a focus on lifestyle intervention and risk factor control has been shown to effectively delay or prevent the occurrence of cardiovascular events. To promote a healthy lifestyle and enhance the detection, diagnosis, and treatment of cardiovascular risk factors such as hypertension, dyslipidemia, and diabetes, and to improve the overall capacity of primary prevention of cardiovascular disease, the Chinese Society of Cardiology of Chinese Medical Association has collaborated with multiple societies to summarize and evaluate the latest evidence with reference to relevant guidelines and subsequently to develop recommendations for primary cardiovascular disease prevention in Chinese adults. The guideline consists of 10 sections: introduction, methodology for developing the guideline, epidemiology of cardiovascular disease in China and challenges in primary prevention, general recommendations for primary prevention, assessment of cardiovascular risk, lifestyle intervention, blood pressure control, lipid management, management of type 2 diabetes, and use of aspirin. The promulgation and implementation of this guideline will play a key role in promoting the practice of primary prevention for cardiovascular disease in China.
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Zhuo Y, Solak S, Harmanli O, Jones KA. Optimal treatment policies for pelvic organ prolapse in women. DECISION SCIENCES 2021. [DOI: 10.1111/deci.12521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Yueran Zhuo
- Isenberg School of Management University of Massachusetts Amherst Amherst Massachusetts USA
| | - Senay Solak
- Isenberg School of Management University of Massachusetts Amherst Amherst Massachusetts USA
| | - Oz Harmanli
- Department of Obstetrics, Gynecology, and Reproductive Sciences Yale School of Medicine New Haven Connecticut USA
| | - Keisha A. Jones
- Department of Obstetrics and Gynecology University of Massachusetts Medical School Baystate Medical Center Springfield Massachusetts USA
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Guillamet MCV, Vazquez R, Noe J, Micek ST, Fraser VJ, Kollef MH. Impact of Baseline Characteristics on Future Episodes of Bloodstream Infections: Multistate Model in Septic Patients With Bloodstream Infections. Clin Infect Dis 2021; 71:3103-3109. [PMID: 31858141 DOI: 10.1093/cid/ciz1206] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Accepted: 12/17/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Looking only at the index infection, studies have described risk factors for infections caused by resistant bacteria. We hypothesized that septic patients with bloodstream infections may transition across states characterized by different microbiology and that their trajectory is not uniform. We also hypothesized that baseline risk factors may influence subsequent blood culture results. METHODS All adult septic patients with positive blood cultures over a 7-year period were included in the study. Baseline risk factors were recorded. We followed all survivors longitudinally and recorded subsequent blood culture results. We separated states into bacteremia caused by gram-positive cocci, susceptible gram-negative bacilli (sGNB), resistant GNB (rGNB), and Candida spp. Detrimental transitions were considered when transitioning to a culture with a higher mortality risk (rGNB and Candida spp.). A multistate Markov-like model was used to determine risk factors associated with detrimental transitions. RESULTS A total of 990 patients survived and experienced at least 1 transition, with a total of 4282 transitions. Inappropriate antibiotics, previous antibiotic exposure, and index bloodstream infection caused by either rGNB or Candida spp. were associated with detrimental transitions. Double antibiotic therapy (beta-lactam plus either an aminoglycoside or a fluoroquinolone) protected against detrimental transitions. CONCLUSION Baseline characteristics that include prescribed antibiotics can identify patients at risk for subsequent bloodstream infections caused by resistant bacteria. By altering the initial treatment, we could potentially influence future bacteremic states.
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Affiliation(s)
- M Cristina Vazquez Guillamet
- Division of Infectious Diseases, Washington University School of Medicine, St. Louis, Missouri, USA.,Division of Pulmonary and Critical Care Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Rodrigo Vazquez
- Division of Pulmonary and Critical Care Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Jonas Noe
- Department of Internal Medicine, John Cochran Veterans Affairs Hospital, St. Louis, Missouri, USA
| | - Scott T Micek
- Department of Pharmacy Practice, St. Louis College of Pharmacy, St. Louis, Missouri, USA
| | - Victoria J Fraser
- Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Marin H Kollef
- Division of Pulmonary and Critical Care Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
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Castiel J, Chen-Tournoux A, Thanassoulis G, Goldfarb M. A Patient-Led Referral Strategy for Cardiovascular Screening of Family and Household Members at the Time of Cardiac Intensive Care Unit Admission. CJC Open 2020; 2:506-513. [PMID: 33305210 PMCID: PMC7710948 DOI: 10.1016/j.cjco.2020.06.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2020] [Accepted: 06/19/2020] [Indexed: 11/16/2022] Open
Abstract
Background Screening relatives of patients with ischemic heart disease can identify over half of the population with poorly controlled cardiovascular (CV) risk factors. Family or household members (FMs) may be highly motivated to undergo CV primary prevention screening at the time of their relative’s admission to the Cardiovascular Intensive Care Unit (CICU). Methods Patients aged ≤ 70 years admitted to a tertiary CICU for an acute coronary event were given a letter to refer FMs for CV screening. Interested FMs underwent CV risk-factor assessment and primary prevention counselling. The objectives were to identify FMs with an intermediate or high modified 10-year Framingham risk score (FRS) and to evaluate whether a family-oriented primary prevention strategy improved CV risk. Results There were 51 CV probands who referred 101 FMs (62 family, 39 household; mean age: 44.8 ± 15.3; 65 (64.4%) female) for screening. One-third of FMs aged ≥ 30 years (n = 28 of 84; 32.1%) had a new diagnosis of either hypertension, diabetes, or dyslipidemia. Nearly half of FMs (n = 38; 45.2%) had an intermediate or high modified Framingham 10-year CV risk. In FMs aged ≥ 30 years attending the 6-month follow-up (51 of 84; 60.7%), the mean FRS decreased by 4.6% (from 13.2% ± 12.7 to 8.6% ± 10.0, P < 0.001), and 30.4% (7 of 23) of FMs had a low FRS who had initially had an intermediate or high FRS. Conclusions A patient-led referral strategy at the time of CICU admission led to a high rate of identification of previously undiagnosed CV risk factors in FMs. Implementing a similar referral program on a larger scale could identify a considerable burden of CV risk.
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Affiliation(s)
| | - Annabel Chen-Tournoux
- Division of Cardiology, Jewish General Hospital, McGill University, Montreal, Quebec, Canada
| | - George Thanassoulis
- Preventive and Genomic Cardiology, McGill University Health Center and Research Institute, Montreal, Quebec, Canada
| | - Michael Goldfarb
- Division of Cardiology, Jewish General Hospital, McGill University, Montreal, Quebec, Canada
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Fahey T. Why evidence still matters to general practice: James Mackenzie Lecture 2019. Br J Gen Pract 2020; 70:198-199. [PMID: 32217600 PMCID: PMC7098500 DOI: 10.3399/bjgp20x709241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022] Open
Affiliation(s)
- Tom Fahey
- Royal College of Surgeons in Ireland - General Practice, Dublin
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Casey DE, Thomas RJ, Bhalla V, Commodore-Mensah Y, Heidenreich PA, Kolte D, Muntner P, Smith SC, Spertus JA, Windle JR, Wozniak GD, Ziaeian B. 2019 AHA/ACC Clinical Performance and Quality Measures for Adults With High Blood Pressure: A Report of the American College of Cardiology/American Heart Association Task Force on Performance Measures. J Am Coll Cardiol 2019; 74:2661-2706. [PMID: 31732293 PMCID: PMC7673043 DOI: 10.1016/j.jacc.2019.10.001] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Casey DE, Thomas RJ, Bhalla V, Commodore-Mensah Y, Heidenreich PA, Kolte D, Muntner P, Smith SC, Spertus JA, Windle JR, Wozniak GD, Ziaeian B. 2019 AHA/ACC Clinical Performance and Quality Measures for Adults With High Blood Pressure: A Report of the American College of Cardiology/American Heart Association Task Force on Performance Measures. Circ Cardiovasc Qual Outcomes 2019; 12:e000057. [PMID: 31714813 PMCID: PMC7717926 DOI: 10.1161/hcq.0000000000000057] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 138:e426-e483. [PMID: 30354655 DOI: 10.1161/cir.0000000000000597] [Citation(s) in RCA: 374] [Impact Index Per Article: 74.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Paul K Whelton
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Robert M Carey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Wilbert S Aronow
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Donald E Casey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Karen J Collins
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Cheryl Dennison Himmelfarb
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sondra M DePalma
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Samuel Gidding
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kenneth A Jamerson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Daniel W Jones
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Eric J MacLaughlin
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Paul Muntner
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Bruce Ovbiagele
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sidney C Smith
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Crystal C Spencer
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randall S Stafford
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sandra J Taler
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randal J Thomas
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kim A Williams
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jeff D Williamson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jackson T Wright
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
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11
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 138:e484-e594. [PMID: 30354654 DOI: 10.1161/cir.0000000000000596] [Citation(s) in RCA: 220] [Impact Index Per Article: 44.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Paul K Whelton
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Robert M Carey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Wilbert S Aronow
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Donald E Casey
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Karen J Collins
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Cheryl Dennison Himmelfarb
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sondra M DePalma
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Samuel Gidding
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kenneth A Jamerson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Daniel W Jones
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Eric J MacLaughlin
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Paul Muntner
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Bruce Ovbiagele
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sidney C Smith
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Crystal C Spencer
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randall S Stafford
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Sandra J Taler
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Randal J Thomas
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Kim A Williams
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jeff D Williamson
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
| | - Jackson T Wright
- American Society for Preventive Cardiology Representative. †ACC/AHA Representative. ‡Lay Volunteer/Patient Representative. §Preventive Cardiovascular Nurses Association Representative. ‖American Academy of Physician Assistants Representative. ¶Task Force Liaison. #Association of Black Cardiologists Representative. **American Pharmacists Association Representative. ††ACC/AHA Prevention Subcommittee Liaison. ‡‡American College of Preventive Medicine Representative. §§American Society of Hypertension Representative. ‖‖Task Force on Performance Measures Liaison. ¶¶American Geriatrics Society Representative. ##National Medical Association Representative
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Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, Himmelfarb CD, Khera A, Lloyd-Jones D, McEvoy JW, Michos ED, Miedema MD, Muñoz D, Smith SC, Virani SS, Williams KA, Yeboah J, Ziaeian B. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2019; 74:e177-e232. [PMID: 30894318 PMCID: PMC7685565 DOI: 10.1016/j.jacc.2019.03.010] [Citation(s) in RCA: 947] [Impact Index Per Article: 189.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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13
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Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, Himmelfarb CD, Khera A, Lloyd-Jones D, McEvoy JW, Michos ED, Miedema MD, Muñoz D, Smith SC, Virani SS, Williams KA, Yeboah J, Ziaeian B. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2019; 74:1376-1414. [PMID: 30894319 PMCID: PMC8344373 DOI: 10.1016/j.jacc.2019.03.009] [Citation(s) in RCA: 718] [Impact Index Per Article: 143.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines Endorsed by the American Association of Cardiovascular and Pulmonary Rehabilitation, the American Geriatrics Society, the American Society of Preventive Cardiology, and the Preventive Cardiovascular Nurses Association
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14
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Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, Himmelfarb CD, Khera A, Lloyd-Jones D, McEvoy JW, Michos ED, Miedema MD, Muñoz D, Smith SC, Virani SS, Williams KA, Yeboah J, Ziaeian B. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 140:e563-e595. [PMID: 30879339 PMCID: PMC8351755 DOI: 10.1161/cir.0000000000000677] [Citation(s) in RCA: 359] [Impact Index Per Article: 71.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
1. The most important way to prevent atherosclerotic vascular disease, heart failure, and atrial fibrillation is to promote a healthy lifestyle throughout life. 2. A team-based care approach is an effective strategy for the prevention of cardiovascular disease. Clinicians should evaluate the social determinants of health that affect individuals to inform treatment decisions. 3. Adults who are 40 to 75 years of age and are being evaluated for cardiovascular disease prevention should undergo 10-year atherosclerotic cardiovascular disease (ASCVD) risk estimation and have a clinician–patient risk discussion before starting on pharmacological therapy, such as antihypertensive therapy, a statin, or aspirin. The presence or absence of additional risk-enhancing factors can help guide decisions about preventive interventions in select individuals, as can coronary artery calcium scanning. 4. All adults should consume a healthy diet that emphasizes the intake of vegetables, fruits, nuts, whole grains, lean vegetable or animal protein, and fish and minimizes the intake of trans fats, processed meats, refined carbohydrates, and sweetened beverages. For adults with overweight and obesity, counseling and caloric restriction are recommended for achieving and maintaining weight loss. 5. Adults should engage in at least 150 minutes per week of accumulated moderate-intensity physical activity or 75 minutes per week of vigorous-intensity physical activity. 6. For adults with type 2 diabetes mellitus, lifestyle changes, such as improving dietary habits and achieving exercise recommendations are crucial. If medication is indicated, metformin is first-line therapy, followed by consideration of a sodium-glucose cotransporter 2 inhibitor or a glucagon-like peptide-1 receptor agonist. 7. All adults should be assessed at every healthcare visit for tobacco use, and those who use tobacco should be assisted and strongly advised to quit. 8. Aspirin should be used infrequently in the routine primary prevention of ASCVD because of lack of net benefit. 9. Statin therapy is first-line treatment for primary prevention of ASCVD in patients with elevated low-density lipoprotein cholesterol levels (≥190 mg/dL), those with diabetes mellitus, who are 40 to 75 years of age, and those determined to be at sufficient ASCVD risk after a clinician–patient risk discussion. 10. Nonpharmacological interventions are recommended for all adults with elevated blood pressure or hypertension. For those requiring pharmacological therapy, the target blood pressure should generally be <130/80 mm Hg.
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Arnett DK, Blumenthal RS, Albert MA, Buroker AB, Goldberger ZD, Hahn EJ, Himmelfarb CD, Khera A, Lloyd-Jones D, McEvoy JW, Michos ED, Miedema MD, Muñoz D, Smith SC, Virani SS, Williams KA, Yeboah J, Ziaeian B. 2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 140:e596-e646. [PMID: 30879355 PMCID: PMC7734661 DOI: 10.1161/cir.0000000000000678] [Citation(s) in RCA: 1367] [Impact Index Per Article: 273.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Impact of the European and American guidelines on hypertension prevalence, treatment, and cardiometabolic goals. J Hypertens 2019; 37:1393-1400. [DOI: 10.1097/hjh.0000000000002065] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Attar A, Sayadi M, Jannati M. Effect of intensive blood pressure lowering on cardiovascular outcomes based on cardiovascular risk: A secondary analysis of the SPRINT trial. Eur J Prev Cardiol 2018; 26:238-245. [PMID: 30256671 DOI: 10.1177/2047487318800741] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND It is not clear whether risk stratification can help choose the most favourable systolic blood pressure target for primary prevention of cardiovascular events. DESIGN A secondary analysis of Systolic Blood Pressure Intervention Trial (SPRINT). METHODS To perform a secondary analysis, we obtained the data from SPRINT from the National Heart, Lung, and Blood Institute data repository centre. In SPRINT, an open-label trial, participants without diabetes with systolic blood pressure of ≥130 mmHg were randomly assigned to intensive and standard treatment groups with systolic blood pressure targets of <120 and <140 mmHg, respectively. The primary composite outcome was myocardial infarction and other acute coronary syndromes, stroke, heart failure, or death from cardiovascular causes. Here, we have analysed data from participants without cardiovascular disease and chronic kidney disease aged under 75 years categorised based on the baseline 10-year Framingham risk score (<10% (low risk); ≥10% and <15% (intermediate risk); ≥15% (high risk)). RESULTS A total of 4298 patients were included in the analysis. With intensive treatment, there was a significant reduction in the primary outcome events in patients at high risk (0.86% per year vs. 1.81% per year; hazard ratio (HR) 0.51; 95% confidence interval (CI) 0.31 to 0.85; P = 0.010), and at intermediate risk (0.60% per year vs. 1.46% per year; HR 0.37; 95% CI 0.17 to 0.82; P = 0.014) but not for those at low risk (0.75% per year vs. 0.57% per year; HR 1.14; 95% CI 0.55 to 2.38; P = 0.714). CONCLUSIONS Intensive systolic blood pressure reduction is beneficial for primary prevention of cardiovascular morbidity and mortality in patients without diabetes with more than low cardiac risk (above 10%).
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Affiliation(s)
- Armin Attar
- 1 Cardiovascular Research Center, Shiraz University of Medical Sciences, Iran
| | - Mehrab Sayadi
- 1 Cardiovascular Research Center, Shiraz University of Medical Sciences, Iran.,2 Students' Research Committee, Shiraz University of Medical Sciences, Iran
| | - Mansoor Jannati
- 3 Department of Cardiovascular Surgery, Shiraz University of Medical Sciences, Iran
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary. ACTA ACUST UNITED AC 2018; 12:579.e1-579.e73. [DOI: 10.1016/j.jash.2018.06.010] [Citation(s) in RCA: 92] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension 2018. [DOI: 10.1161/hyp.0000000000000065 10.1016/j.jacc.2017.11.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
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Peñaloza-Ramos MC, Jowett S, Sutton AJ, McManus RJ, Barton P. The Importance of Model Structure in the Cost-Effectiveness Analysis of Primary Care Interventions for the Management of Hypertension. VALUE IN HEALTH : THE JOURNAL OF THE INTERNATIONAL SOCIETY FOR PHARMACOECONOMICS AND OUTCOMES RESEARCH 2018; 21:351-363. [PMID: 29566843 DOI: 10.1016/j.jval.2017.03.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Revised: 02/14/2017] [Accepted: 03/03/2017] [Indexed: 06/08/2023]
Abstract
BACKGROUND Management of hypertension can lead to significant reductions in blood pressure, thereby reducing the risk of cardiovascular disease. Modeling the course of cardiovascular disease is not without complications, and uncertainty surrounding the structure of a model will almost always arise once a choice of a model structure is defined. OBJECTIVES To provide a practical illustration of the impact on the results of cost-effectiveness of changing or adapting model structures in a previously published cost-utility analysis of a primary care intervention for the management of hypertension Targets and Self-Management for the Control of Blood Pressure in Stroke and at Risk Groups (TASMIN-SR). METHODS The case study assessed the structural uncertainty arising from model structure and from the exclusion of secondary events. Four alternative model structures were implemented. Long-term cost-effectiveness was estimated and the results compared with those from the TASMIN-SR model. RESULTS The main cost-effectiveness results obtained in the TASMIN-SR study did not change with the implementation of alternative model structures. Choice of model type was limited to a cohort Markov model, and because of the lack of epidemiological data, only model 4 captured structural uncertainty arising from the exclusion of secondary events in the case study model. CONCLUSIONS The results of this study indicate that the main conclusions drawn from the TASMIN-SR model of cost-effectiveness were robust to changes in model structure and the inclusion of secondary events. Even though one of the models produced results that were different to those of TASMIN-SR, the fact that the main conclusions were identical suggests that a more parsimonious model may have sufficed.
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Affiliation(s)
| | - Sue Jowett
- Health Economics Unit, University of Birmingham, Birmingham, UK
| | - Andrew John Sutton
- Health Economics Unit, Leeds Institute of Health Sciences, University of Leeds, Leeds, UK
| | - Richard J McManus
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
| | - Pelham Barton
- Health Economics Unit, University of Birmingham, Birmingham, UK
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Karmali KN, Lloyd-Jones DM, van der Leeuw J, Goff DC, Yusuf S, Zanchetti A, Glasziou P, Jackson R, Woodward M, Rodgers A, Neal BC, Berge E, Teo K, Davis BR, Chalmers J, Pepine C, Rahimi K, Sundström J. Blood pressure-lowering treatment strategies based on cardiovascular risk versus blood pressure: A meta-analysis of individual participant data. PLoS Med 2018; 15:e1002538. [PMID: 29558462 PMCID: PMC5860698 DOI: 10.1371/journal.pmed.1002538] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2017] [Accepted: 02/16/2018] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Clinical practice guidelines have traditionally recommended blood pressure treatment based primarily on blood pressure thresholds. In contrast, using predicted cardiovascular risk has been advocated as a more effective strategy to guide treatment decisions for cardiovascular disease (CVD) prevention. We aimed to compare outcomes from a blood pressure-lowering treatment strategy based on predicted cardiovascular risk with one based on systolic blood pressure (SBP) level. METHODS AND FINDINGS We used individual participant data from the Blood Pressure Lowering Treatment Trialists' Collaboration (BPLTTC) from 1995 to 2013. Trials randomly assigned participants to either blood pressure-lowering drugs versus placebo or more intensive versus less intensive blood pressure-lowering regimens. We estimated 5-y risk of CVD events using a multivariable Weibull model previously developed in this dataset. We compared the two strategies at specific SBP thresholds and across the spectrum of risk and blood pressure levels studied in BPLTTC trials. The primary outcome was number of CVD events avoided per persons treated. We included data from 11 trials (47,872 participants). During a median of 4.0 y of follow-up, 3,566 participants (7.5%) experienced a major cardiovascular event. Areas under the curve comparing the two treatment strategies throughout the range of possible thresholds for CVD risk and SBP demonstrated that, on average, a greater number of CVD events would be avoided for a given number of persons treated with the CVD risk strategy compared with the SBP strategy (area under the curve 0.71 [95% confidence interval (CI) 0.70-0.72] for the CVD risk strategy versus 0.54 [95% CI 0.53-0.55] for the SBP strategy). Compared with treating everyone with SBP ≥ 150 mmHg, a CVD risk strategy would require treatment of 29% (95% CI 26%-31%) fewer persons to prevent the same number of events or would prevent 16% (95% CI 14%-18%) more events for the same number of persons treated. Compared with treating everyone with SBP ≥ 140 mmHg, a CVD risk strategy would require treatment of 3.8% (95% CI 12.5% fewer to 7.2% more) fewer persons to prevent the same number of events or would prevent 3.1% (95% CI 1.5%-5.0%) more events for the same number of persons treated, although the former estimate was not statistically significant. In subgroup analyses, the CVD risk strategy did not appear to be more beneficial than the SBP strategy in patients with diabetes mellitus or established CVD. CONCLUSIONS A blood pressure-lowering treatment strategy based on predicted cardiovascular risk is more effective than one based on blood pressure levels alone across a range of thresholds. These results support using cardiovascular risk assessment to guide blood pressure treatment decision-making in moderate- to high-risk individuals, particularly for primary prevention.
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Affiliation(s)
- Kunal N. Karmali
- Department of Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - Donald M. Lloyd-Jones
- Department of Medicine, Northwestern University, Chicago, Illinois, United States of America
| | - Joep van der Leeuw
- University Medical Center Utrecht, Department of Vascular Medicine, Utrecht, Netherlands
| | - David C. Goff
- National Heart, Lung, and Blood Institute, Division of Cardiovascular Sciences, Bethesda, Maryland, United States of America
| | - Salim Yusuf
- Population Health Research Institute, McMaster University, Hamilton, Canada
| | | | - Paul Glasziou
- Centre for Research in Evidence Based Practice, Bond University, Robina, Australia
| | - Rodney Jackson
- School of Population Health, Faculty of Medical and Health Science, University of Auckland, Auckland, New Zealand
| | - Mark Woodward
- The George Institute for Global Health, University of Oxford, Oxford, United Kingdom
- The George Institute for Global Health, Sydney, Australia
| | | | - Bruce C. Neal
- The George Institute for Global Health, Sydney, Australia
| | - Eivind Berge
- Department of Cardiology, Oslo University Hospital, Oslo, Norway
| | - Koon Teo
- Population Health Research Institute, McMaster University, Hamilton, Canada
| | - Barry R. Davis
- School of Public Health, University of Texas, Dallas, Texas, United States of America
| | - John Chalmers
- The George Institute for Global Health, Sydney, Australia
| | - Carl Pepine
- Division of Cardiovascular Medicine, University of Florida, Gainesville, Florida, United States of America
| | - Kazem Rahimi
- The George Institute for Global Health, University of Oxford, Oxford, United Kingdom
| | - Johan Sundström
- Department of Medical Sciences, Uppsala University, and Uppsala Clinical Research Center, Uppsala, Sweden
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Elliott RA, Tanajewski L, Gkountouras G, Avery AJ, Barber N, Mehta R, Boyd MJ, Latif A, Chuter A, Waring J. Cost Effectiveness of Support for People Starting a New Medication for a Long-Term Condition Through Community Pharmacies: An Economic Evaluation of the New Medicine Service (NMS) Compared with Normal Practice. PHARMACOECONOMICS 2017; 35:1237-1255. [PMID: 28776320 PMCID: PMC5684280 DOI: 10.1007/s40273-017-0554-9] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
BACKGROUND The English community pharmacy New Medicine Service (NMS) significantly increases patient adherence to medicines, compared with normal practice. We examined the cost effectiveness of NMS compared with normal practice by combining adherence improvement and intervention costs with the effect of increased adherence on patient outcomes and healthcare costs. METHODS We developed Markov models for diseases targeted by the NMS (hypertension, type 2 diabetes mellitus, chronic obstructive pulmonary disease, asthma and antiplatelet regimens) to assess the impact of patients' non-adherence. Clinical event probability, treatment pathway, resource use and costs were extracted from literature and costing tariffs. Incremental costs and outcomes associated with each disease were incorporated additively into a composite probabilistic model and combined with adherence rates and intervention costs from the trial. Costs per extra quality-adjusted life-year (QALY) were calculated from the perspective of NHS England, using a lifetime horizon. RESULTS NMS generated a mean of 0.05 (95% CI 0.00-0.13) more QALYs per patient, at a mean reduced cost of -£144 (95% CI -769 to 73). The NMS dominates normal practice with a probability of 0.78 [incremental cost-effectiveness ratio (ICER) -£3166 per QALY]. NMS has a 96.7% probability of cost effectiveness compared with normal practice at a willingness to pay of £20,000 per QALY. Sensitivity analysis demonstrated that targeting each disease with NMS has a probability over 0.90 of cost effectiveness compared with normal practice at a willingness to pay of £20,000 per QALY. CONCLUSIONS Our study suggests that the NMS increased patient medicine adherence compared with normal practice, which translated into increased health gain at reduced overall cost. TRIAL REGISTRATION ClinicalTrials.gov Trial reference number NCT01635361 ( http://clinicaltrials.gov/ct2/show/NCT01635361 ). Current Controlled trials: Trial reference number ISRCTN 23560818 ( http://www.controlled-trials.com/ISRCTN23560818/ ; DOI 10.1186/ISRCTN23560818 ). UK Clinical Research Network (UKCRN) study 12494 ( http://public.ukcrn.org.uk/Search/StudyDetail.aspx?StudyID=12494 ). FUNDING Department of Health Policy Research Programme.
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Affiliation(s)
- Rachel A Elliott
- Manchester Centre for Health Economics, Room 4.318, 4th floor, Jean Mcfarlane Building, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK.
| | - Lukasz Tanajewski
- Division of Pharmacy Practice and Policy, The School of Pharmacy, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
| | - Georgios Gkountouras
- Division of Pharmacy Practice and Policy, The School of Pharmacy, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
| | - Anthony J Avery
- Primary Care Research, Division of Primary Care, School of Medicine, Queen's Medical Centre, University of Nottingham, Nottingham, NG7 2UH, UK
| | - Nick Barber
- Emeritus Professor of Pharmacy, UCL School of Pharmacy, 29-39 Brunswick Square, London, WC1N 1AX, UK
| | - Rajnikant Mehta
- Research Design Service, East Midlands (RDS EM), School of Medicine, Queen's Medical Centre, University of Nottingham, Nottingham, NG7 2UH, UK
| | - Matthew J Boyd
- Division of Pharmacy Practice and Policy, The School of Pharmacy, University of Nottingham, University Park, Nottingham, NG7 2RD, UK
| | - Asam Latif
- School of Health Sciences, Faculty of Medicine and Health Sciences, Queen's Medical Centre, University of Nottingham, Nottingham, NG7 2UH, UK
| | - Antony Chuter
- Patient and Public Representative, 68 Brighton Cottages, Copyhold Lane, Lindfield, Haywards Heath, RH16 1XT, UK
| | - Justin Waring
- Organisational Sociology and Improvement Science, Centre for Health Innovation, Leadership and Learning, Nottingham University Business School, Jubilee Campus, University of Nottingham, Nottingham, NG8 2BB, UK
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension 2017; 71:e13-e115. [PMID: 29133356 DOI: 10.1161/hyp.0000000000000065] [Citation(s) in RCA: 1577] [Impact Index Per Article: 225.3] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Hypertension 2017; 71:1269-1324. [PMID: 29133354 DOI: 10.1161/hyp.0000000000000066] [Citation(s) in RCA: 2152] [Impact Index Per Article: 307.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2017; 71:2199-2269. [PMID: 29146533 DOI: 10.1016/j.jacc.2017.11.005] [Citation(s) in RCA: 623] [Impact Index Per Article: 89.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Whelton PK, Carey RM, Aronow WS, Casey DE, Collins KJ, Dennison Himmelfarb C, DePalma SM, Gidding S, Jamerson KA, Jones DW, MacLaughlin EJ, Muntner P, Ovbiagele B, Smith SC, Spencer CC, Stafford RS, Taler SJ, Thomas RJ, Williams KA, Williamson JD, Wright JT. 2017 ACC/AHA/AAPA/ABC/ACPM/AGS/APhA/ASH/ASPC/NMA/PCNA Guideline for the Prevention, Detection, Evaluation, and Management of High Blood Pressure in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol 2017; 71:e127-e248. [PMID: 29146535 DOI: 10.1016/j.jacc.2017.11.006] [Citation(s) in RCA: 3069] [Impact Index Per Article: 438.4] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Peñaloza Ramos MC, Barton P, Jowett S, Sutton AJ. Do Economic Evaluations in Primary Care Prevention and the Management of Hypertension Conform to Good Practice Guidelines? A Systematic Review. MDM Policy Pract 2016; 1:2381468316671724. [PMID: 30288407 PMCID: PMC6125047 DOI: 10.1177/2381468316671724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2016] [Accepted: 07/29/2016] [Indexed: 11/30/2022] Open
Abstract
Background: Results of previous research have identified the need
for further investigation into the compliance with good practice guidelines for
current decision-analytic modeling (DAM). Objective: To identify
the extent to which recent model-based economic evaluations of interventions
focused on lowering the blood pressure (BP) of patients with hypertension
conform to published guidelines for DAM in health care using a five-dimension
framework developed to assess compliance to DAM guidelines.
Methods: A systematic review of English language articles was
undertaken to identify published model-based economic evaluations that examined
interventions aimed at lowering BP. The review covered the period January 2000
to March 2015 and included the following electronic bibliographic databases:
EMBASE and Medline via Ovid interface and the Centre for Reviews and
Dissemination’s (CRD) NHS-EED. Data were extracted based on different components
of good practice across five dimensions utilizing a framework to assess
compliance to DAM guidelines. Results: Thirteen articles were
included in this review. The review found limited compliance to good practice
DAM guidelines, which was most frequently justified by the lack of data.
Conclusions: The assessment of structural uncertainty cannot
yet be considered common practice in primary prevention and management of
hypertension, and researchers seem to face difficulties with identifying sources
of structural uncertainty and then handling them correctly. Additional
guidelines are needed to aid researchers in identifying and managing sources of
potential structural uncertainty. Adherence to guidelines is not always possible
and it does pose challenges, in particular when there are limitations due to
data availability that restrict, for example, a validation process.
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Affiliation(s)
- Maria Cristina Peñaloza Ramos
- Maria Cristina Peñaloza Ramos, Health
Economics Unit, Public Health Building, University of Birmingham, Edgbaston,
Birmingham B15 2TT, UK; telephone: +44 (0)121 414 7061; e-mail:
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Undiagnosed and uncontrolled hypertension among the adults in rural Bangladesh: findings from a community-based study. J Hypertens 2016; 33:2399-406. [PMID: 26372322 DOI: 10.1097/hjh.0000000000000712] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
OBJECTIVES This article reports the prevalence and prediction factors of undiagnosed and uncontrolled hypertension among the adults in rural Bangladesh. METHODS A cross-sectional study of the major noncommunicable disease risk factors was conducted in rural surveillance sites of Bangladesh in 2005. In addition to the self-report questions on risk factors, height, weight, and blood pressure were measured using standard protocols of the WHO STEPwise approach to Surveillance. Undiagnosed hypertension was defined when people reported no hypertension but were found hypertensive when measured, and uncontrolled hypertension was defined when people reported receiving antihypertensive treatment but their blood pressure was above the normal range when measured. RESULTS The prevalence of undiagnosed hypertension was 11.1%, increasing with age to 22.7% among those aged 60 years and above. Among the hypertensive patients receiving treatment, 54.9% were found to be uncontrolled (34.5% among 25-39 years and 67.9% among 60+ years). Increasing age and higher BMI were significantly positively associated with undiagnosed hypertension in multivariate analysis. Increasing age and more wealth have significant independent association with uncontrolled hypertension. CONCLUSION High prevalence of undiagnosed hypertension, and more than 50% of the treated hypertension being uncontrolled puts a great challenge ahead for Bangladesh, a resource-poor setting. Regular health check or health screening along with implementation of hypertensive guidelines should be reinforced.
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Nguyen TPL, Wright EP, Nguyen TT, Schuiling-Veninga CCM, Bijlsma MJ, Nguyen TBY, Postma MJ. Cost-Effectiveness Analysis of Screening for and Managing Identified Hypertension for Cardiovascular Disease Prevention in Vietnam. PLoS One 2016; 11:e0155699. [PMID: 27192051 PMCID: PMC4871542 DOI: 10.1371/journal.pone.0155699] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2015] [Accepted: 05/03/2016] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVE To inform development of guidelines for hypertension management in Vietnam, we evaluated the cost-effectiveness of different strategies on screening for hypertension in preventing cardiovascular disease (CVD). METHODS A decision tree was combined with a Markov model to measure incremental cost-effectiveness of different approaches to hypertension screening. Values used as input parameters for the model were taken from different sources. Various screening intervals (one-off, annually, biannually) and starting ages to screen (35, 45 or 55 years) and coverage of treatment were analysed. We ran both a ten-year and a lifetime horizon. Input parameters for the models were extracted from local and regional data. Probabilistic sensitivity analysis was used to evaluate parameter uncertainty. A threshold of three times GDP per capita was applied. RESULTS Cost per quality adjusted life year (QALY) gained varied in different screening scenarios. In a ten-year horizon, the cost-effectiveness of screening for hypertension ranged from cost saving to Int$ 758,695 per QALY gained. For screening of men starting at 55 years, all screening scenarios gave a high probability of being cost-effective. For screening of females starting at 55 years, the probability of favourable cost-effectiveness was 90% with one-off screening. In a lifetime horizon, cost per QALY gained was lower than the threshold of Int$ 15,883 in all screening scenarios among males. Similar results were found in females when starting screening at 55 years. Starting screening in females at 45 years had a high probability of being cost-effective if screening biannually was combined with increasing coverage of treatment by 20% or even if sole biannual screening was considered. CONCLUSION From a health economic perspective, integrating screening for hypertension into routine medical examination and related coverage by health insurance could be recommended. Screening for hypertension has a high probability of being cost-effective in preventing CVD. An adequate screening strategy can best be selected based on age, sex and screening interval.
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Affiliation(s)
- Thi-Phuong-Lan Nguyen
- University of Groningen, Department of Pharmacy, Unit of PharmacoEpidemiology & PharmacoEconomics, Groningen, the Netherlands
| | - E. Pamela Wright
- Medical Committee Netherlands-Vietnam, Amsterdam, The Netherlands
| | | | - C. C. M. Schuiling-Veninga
- University of Groningen, Department of Pharmacy, Unit of PharmacoEpidemiology & PharmacoEconomics, Groningen, the Netherlands
| | - M. J. Bijlsma
- University of Groningen, Department of Pharmacy, Unit of PharmacoEpidemiology & PharmacoEconomics, Groningen, the Netherlands
| | - Thi-Bach-Yen Nguyen
- Department of Health economic, Ha Noi University of Medicine, Ha Noi, Vietnam
| | - M. J. Postma
- University of Groningen, Department of Pharmacy, Unit of PharmacoEpidemiology & PharmacoEconomics, Groningen, the Netherlands
- Institute for Science in Healthy Aging & healthcaRE (SHARE), University Medical Center Groningen (UMCG), Groningen, The Netherland
- Department of Epidemiology, UMCG, Groningen, The Netherlands
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Fletcher K, Mant J, McManus R, Hobbs R. The Stroke Prevention Programme: a programme of research to inform optimal stroke prevention in primary care. PROGRAMME GRANTS FOR APPLIED RESEARCH 2016. [DOI: 10.3310/pgfar04030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
BackgroundThe management of cardiovascular (CV) risk factors in community populations is suboptimal. The aim of this programme was to explore the role of three approaches [use of a ‘polypill’; self-management of hypertension; and more intensive targets for blood pressure (BP) lowering after stroke] to improve prevention of CV disease (CVD) in the community.Research questions(1) Is it more cost-effective to titrate treatments to target levels of cholesterol and BP or to use fixed doses of statins and BP-lowering agents (polypill strategy)? (2) Will telemonitoring and self-management improve BP control in people on treatment for hypertension or with a history of stroke/transient ischaemic attack (TIA) in primary care and are they cost-effective? (3) In people with a history of stroke/TIA, can intensive BP-lowering targets be achieved in a primary care setting and what impact will this have on health outcomes and cost-effectiveness?DesignMixed methods, comprising three randomised controlled trials (RCTs); five cost-effectiveness analyses; qualitative studies; analysis of electronic general practice data; a screening study; a systematic review; and a questionnaire study.SettingUK general practices, predominantly from the West Midlands and the east of England.ParticipantsAdults registered with participating general practices. Inclusion criteria varied from study to study.InterventionsA polypill – a fixed-dose combination pill containing three antihypertensive medicines and simvastatin – compared with current practice and with optimal implementation of national guidelines; self-monitoring of BP with self-titration of medication, compared with usual care; and an intensive target for systolic BP of < 130 mmHg or a 10 mmHg reduction if baseline BP is < 140 mmHg, compared with a target of < 140 mmHg.ResultsFor patients known to be at high risk of CVD, treatment as per guidelines was the most cost-effective strategy. For people with unknown CV risk aged ≥ 50 years, offering a polypill is cost-effective [incremental cost-effectiveness ratio (ICER) of £8115 per quality-adjusted life-year (QALY)] compared with a strategy of screening and treating according to national guidelines. Both results were sensitive to the cost of the polypill. Self-management in people with uncontrolled hypertension led to a 5.4 mmHg [95% confidence interval (CI) 2.4 to 8.5 mmHg] reduction in systolic BP at 1 year, compared with usual care. It was cost-effective for men (ICER of £1624 per QALY) and women (ICER of £4923 per QALY). In people with stroke and other high-risk groups, self-management led to a 9.2 mmHg (95% CI 5.7 to 12.7 mmHg) reduction in systolic BP at 1 year compared with usual care and dominated (lower cost and better outcome) usual care. Aiming for the more intensive BP target after stroke led to a 2.9 mmHg (95% CI 0.2 to 5.7 mmHg) greater reduction in BP and dominated the 140 mmHg target.ConclusionsPotential for a polypill needs to be further explored in RCTs. Self-management should be offered to people with poorly controlled BP. Management of BP in the post-stroke population should focus on achieving a < 140 mmHg target.Trial registrationCurrent Controlled Trials ISRCTN17585681, ISRCTN87171227 and ISRCTN29062286.FundingThe National Institute for Health Research (NIHR) Programme Grants for Applied Research programme. Additional funding was provided by the NIHR National School for Primary Care Research, the NIHR Career Development Fellowship and the Department of Health Policy Research Programme.
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Affiliation(s)
- Kate Fletcher
- Department of Primary Care Clinical Sciences, University of Birmingham, Birmingham, UK
| | - Jonathan Mant
- Primary Care Unit, Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, UK
| | - Richard McManus
- Nuffield Department of Primary Care Health Sciences, National Institute for Health Research School for Primary Care Research, University of Oxford, Oxford, UK
| | - Richard Hobbs
- Nuffield Department of Primary Care Health Sciences, National Institute for Health Research School for Primary Care Research, University of Oxford, Oxford, UK
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Ohno Y, Shibazaki S, Araki R, Miyazaki T, Sato M, Takahashi S, Suwa E, Takenaka T, Suzuki H. Lifestyle Modifications Versus Antihypertensive Medications in Reducing Cardiovascular Events in an Aging Society: A Success Rate-oriented Simulation. Intern Med 2016; 55:2185-95. [PMID: 27522993 DOI: 10.2169/internalmedicine.55.6247] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Objective It is difficult to compare directly the practical effects of lifestyle modifications and antihypertensive medications on reducing cardiovascular disease (CVD). The purpose of this study was to compare the hypothetical potential of lifestyle modifications with that of antihypertensive medications in reducing CVD in an aging society using a success rate-oriented simulation. Methods We constructed a simulation model for virtual Japanese subpopulations according to sex and age at 10-year intervals from 40 years of age as an example of an aging society. The fractional incidence rate of CVD was calculated as the product of the incidence rate at each systolic blood pressure (SBP) level and the proportion of the SBP frequency distribution in the fractional subpopulations of each SBP. The total incidence rate was calculated by the definite integral of the fractional incidence rate at each SBP level in the sex- and age-specific subpopulations. Results If we consider the effects of lifestyle modifications on metabolic factors and transfer them onto SBP, the reductions in the total incidence rate of CVD were competitive between lifestyle modifications and antihypertensive medications in realistic scenarios. In middle-aged women, the preventive effects of both approaches were limited due to a low incidence rate. In middle-aged men and extremely elderly subjects whose adherence to antihypertensive medications is predicted to be low, lifestyle modifications could be an alternative choice. Conclusion The success rate-oriented simulation suggests that the effectiveness of lifestyle modifications or antihypertensive medications in preventing cardiovascular events largely depends on the baseline incidence rate and sex- and age-specific behavioral factors.
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Affiliation(s)
- Yoichi Ohno
- Community Health Science Center, Saitama Medical University, Japan
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Polgreen LA, Han J, Carter BL, Ardery GP, Coffey CS, Chrischilles EA, James PA. Cost-Effectiveness of a Physician-Pharmacist Collaboration Intervention to Improve Blood Pressure Control. Hypertension 2015; 66:1145-51. [PMID: 26527048 DOI: 10.1161/hypertensionaha.115.06023] [Citation(s) in RCA: 59] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Accepted: 09/21/2015] [Indexed: 01/13/2023]
Abstract
Previous studies have demonstrated the cost-effectiveness of physician-pharmacist collaborations to improve hypertension control. However, most studies have limited generalizability, lacking minority and low-income populations. The Collaboration Among Pharmacist and Physicians to Improve Blood Pressure Now (CAPTION) trial randomized 625 patients from 32 medical offices in 15 states. Each office had an existing clinical pharmacist on staff. Pharmacists in intervention offices communicated with patients and made recommendations to physicians about changes in therapy. Demographic information, blood pressure (BP), medications, and physician visits were recorded. In addition, pharmacists tracked time spent with each patient. Costs were assigned to medications and pharmacist and physician time. Cost-effectiveness ratios were calculated based on changes in BP measurements and hypertension control rates. Thirty-eight percent of patients were black, 14% were Hispanic, and 49% had annual income <$25 000. At 9 months, average systolic BP was 6.1 mm Hg lower (±3.5), diastolic was 2.9 mm Hg lower (±1.9), and the percentage of patients with controlled hypertension was 43% in the intervention group and 34% in the control group. Total costs for the intervention group were $1462.87 (±132.51) and $1259.94 (±183.30) for the control group, a difference of $202.93. The cost to lower BP by 1 mm Hg was $33.27 for systolic BP and $69.98 for diastolic BP. The cost to increase the rate of hypertension control by 1 percentage point in the study population was $22.55. Our results highlight the cost-effectiveness of a clinical pharmacy intervention for hypertension control in primary care settings.
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Affiliation(s)
- Linnea A Polgreen
- From the Department of Pharmacy Practice and Science, College of Pharmacy (L.A.P., B.L.C., G.P.A.), Department of Family Medicine, College of Medicine (B.L.C., P.A.J.), Departments of Biostatistics (C.S.C.) and Epidemiology (E.A.C.), College of Public Health (E.A.C., C.S.C.), University of Iowa, Iowa City; and Department of Pharmacy Practice, School of Pharmacy, Fairleigh Dickinson University, Madison, NJ (J.H.).
| | - Jayoung Han
- From the Department of Pharmacy Practice and Science, College of Pharmacy (L.A.P., B.L.C., G.P.A.), Department of Family Medicine, College of Medicine (B.L.C., P.A.J.), Departments of Biostatistics (C.S.C.) and Epidemiology (E.A.C.), College of Public Health (E.A.C., C.S.C.), University of Iowa, Iowa City; and Department of Pharmacy Practice, School of Pharmacy, Fairleigh Dickinson University, Madison, NJ (J.H.)
| | - Barry L Carter
- From the Department of Pharmacy Practice and Science, College of Pharmacy (L.A.P., B.L.C., G.P.A.), Department of Family Medicine, College of Medicine (B.L.C., P.A.J.), Departments of Biostatistics (C.S.C.) and Epidemiology (E.A.C.), College of Public Health (E.A.C., C.S.C.), University of Iowa, Iowa City; and Department of Pharmacy Practice, School of Pharmacy, Fairleigh Dickinson University, Madison, NJ (J.H.)
| | - Gail P Ardery
- From the Department of Pharmacy Practice and Science, College of Pharmacy (L.A.P., B.L.C., G.P.A.), Department of Family Medicine, College of Medicine (B.L.C., P.A.J.), Departments of Biostatistics (C.S.C.) and Epidemiology (E.A.C.), College of Public Health (E.A.C., C.S.C.), University of Iowa, Iowa City; and Department of Pharmacy Practice, School of Pharmacy, Fairleigh Dickinson University, Madison, NJ (J.H.)
| | - Christopher S Coffey
- From the Department of Pharmacy Practice and Science, College of Pharmacy (L.A.P., B.L.C., G.P.A.), Department of Family Medicine, College of Medicine (B.L.C., P.A.J.), Departments of Biostatistics (C.S.C.) and Epidemiology (E.A.C.), College of Public Health (E.A.C., C.S.C.), University of Iowa, Iowa City; and Department of Pharmacy Practice, School of Pharmacy, Fairleigh Dickinson University, Madison, NJ (J.H.)
| | - Elizabeth A Chrischilles
- From the Department of Pharmacy Practice and Science, College of Pharmacy (L.A.P., B.L.C., G.P.A.), Department of Family Medicine, College of Medicine (B.L.C., P.A.J.), Departments of Biostatistics (C.S.C.) and Epidemiology (E.A.C.), College of Public Health (E.A.C., C.S.C.), University of Iowa, Iowa City; and Department of Pharmacy Practice, School of Pharmacy, Fairleigh Dickinson University, Madison, NJ (J.H.)
| | - Paul A James
- From the Department of Pharmacy Practice and Science, College of Pharmacy (L.A.P., B.L.C., G.P.A.), Department of Family Medicine, College of Medicine (B.L.C., P.A.J.), Departments of Biostatistics (C.S.C.) and Epidemiology (E.A.C.), College of Public Health (E.A.C., C.S.C.), University of Iowa, Iowa City; and Department of Pharmacy Practice, School of Pharmacy, Fairleigh Dickinson University, Madison, NJ (J.H.)
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Mennini FS, Marcellusi A, von der Schulenburg JMG, Gray A, Levy P, Sciattella P, Soro M, Staffiero G, Zeidler J, Maggioni A, Schmieder RE. Reply to comment on Cost of poor adherence to anti-hypertensive therapy in five European country. THE EUROPEAN JOURNAL OF HEALTH ECONOMICS : HEPAC : HEALTH ECONOMICS IN PREVENTION AND CARE 2015; 16:909-911. [PMID: 26231984 DOI: 10.1007/s10198-015-0712-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Affiliation(s)
- F S Mennini
- Economic Evaluation and HTA (EEHTA) CEIS, Faculty of Economics, University of Rome "Tor Vergata", Via Columbia 2, 00133, Rome, Italy
- Institute for Leadership and Management, Kingston University, London, UK
| | - Andrea Marcellusi
- Economic Evaluation and HTA (EEHTA) CEIS, Faculty of Economics, University of Rome "Tor Vergata", Via Columbia 2, 00133, Rome, Italy.
- Department of Demography, University of Rome "La Sapienza", Rome, Italy.
| | | | - A Gray
- Department of Public Health, Health Economics Research Centre, University of Oxford, Oxford, UK
| | - P Levy
- PSL, Université Paris-Dauphine, LEDa-LEGOS, 75016, Paris, France
| | - P Sciattella
- Economic Evaluation and HTA (EEHTA) CEIS, Faculty of Economics, University of Rome "Tor Vergata", Via Columbia 2, 00133, Rome, Italy
| | - M Soro
- Market Access Deptartment, Daiichi Sankyo Europe, Munich, Germany
| | - G Staffiero
- Department of Economics and Business, CRES, Universitat Pompeu Fabra Barcelona, Barcelona, Spain
| | - J Zeidler
- Center for Health Economics Research Hannover (CHERH), Leibniz Universität Hannover, Hannover, Germany
| | - A Maggioni
- Associazione Nazionale Medici Cardiologi Ospedalieri Research Center, Florence, Italy
| | - R E Schmieder
- Department of Nephrology and Hypertension, University Hospital Erlangen, Erlangen, Germany
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Sundström J, Neal B. Replacing the hypertension control paradigm with a strategy of cardiovascular risk reduction. EUROPEAN HEART JOURNAL. QUALITY OF CARE & CLINICAL OUTCOMES 2015; 1:17-22. [DOI: 10.1093/ehjqcco/qcv007] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/27/2015] [Accepted: 04/21/2015] [Indexed: 11/12/2022]
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Sundström J, Arima H, Jackson R, Turnbull F, Rahimi K, Chalmers J, Woodward M, Neal B. Effects of blood pressure reduction in mild hypertension: a systematic review and meta-analysis. Ann Intern Med 2015; 162:184-91. [PMID: 25531552 DOI: 10.7326/m14-0773] [Citation(s) in RCA: 192] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Effects of blood pressure reduction in persons with grade 1 hypertension are unclear. PURPOSE To investigate whether pharmacologic blood pressure reduction prevents cardiovascular events and deaths in persons with grade 1 hypertension. DATA SOURCES Trials included in the BPLTTC (Blood Pressure Lowering Treatment Trialists' Collaboration) and trials identified from a previous review and electronic database searches. STUDY SELECTION Patients without cardiovascular disease with blood pressures in the grade 1 hypertension range (140 to 159/90 to 99 mm Hg) who were randomly assigned to an active (antihypertensive drug or more intensive regimen) or control (placebo or less intensive regimen) blood pressure-lowering regimen. DATA EXTRACTION Individual-patient data from BPLTTC trials and aggregate data from other trials were extracted. Risk of bias was assessed for all trials. DATA SYNTHESIS Individual-patient data involved 10 comparisons from trials where most patients had diabetes, and aggregate data involved 3 comparisons from trials of patients without diabetes. The average blood pressure reduction was about 3.6/2.4 mm Hg. Over 5 years, odds ratios were 0.86 (95% CI, 0.74 to 1.01) for total cardiovascular events, 0.72 (CI, 0.55 to 0.94) for strokes, 0.91 (CI, 0.74 to 1.12) for coronary events, 0.80 (CI, 0.57 to 1.12) for heart failure, 0.75 (CI, 0.57 to 0.98) for cardiovascular deaths, and 0.78 (CI, 0.67 to 0.92) for total deaths. Results were similar in secondary analyses. Withdrawal from treatment due to adverse effects was more common in the active groups. LIMITATION Blood pressure reductions and numbers of events were small. CONCLUSION Blood pressure-lowering therapy is likely to prevent stroke and death in patients with uncomplicated grade 1 hypertension. PRIMARY FUNDING SOURCE Swedish Heart-Lung Foundation, Swedish Research Council, Australian Research Council, and National Health and Medical Research Council of Australia.
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Affiliation(s)
- Johan Sundström
- From Uppsala University, Uppsala, Sweden; Sydney University, Sydney, Australia; University of Auckland, Auckland, New Zealand; University of Oxford, Oxford, United Kingdom; and Imperial College, London, United Kingdom
| | - Hisatomi Arima
- From Uppsala University, Uppsala, Sweden; Sydney University, Sydney, Australia; University of Auckland, Auckland, New Zealand; University of Oxford, Oxford, United Kingdom; and Imperial College, London, United Kingdom
| | - Rod Jackson
- From Uppsala University, Uppsala, Sweden; Sydney University, Sydney, Australia; University of Auckland, Auckland, New Zealand; University of Oxford, Oxford, United Kingdom; and Imperial College, London, United Kingdom
| | - Fiona Turnbull
- From Uppsala University, Uppsala, Sweden; Sydney University, Sydney, Australia; University of Auckland, Auckland, New Zealand; University of Oxford, Oxford, United Kingdom; and Imperial College, London, United Kingdom
| | - Kazem Rahimi
- From Uppsala University, Uppsala, Sweden; Sydney University, Sydney, Australia; University of Auckland, Auckland, New Zealand; University of Oxford, Oxford, United Kingdom; and Imperial College, London, United Kingdom
| | - John Chalmers
- From Uppsala University, Uppsala, Sweden; Sydney University, Sydney, Australia; University of Auckland, Auckland, New Zealand; University of Oxford, Oxford, United Kingdom; and Imperial College, London, United Kingdom
| | - Mark Woodward
- From Uppsala University, Uppsala, Sweden; Sydney University, Sydney, Australia; University of Auckland, Auckland, New Zealand; University of Oxford, Oxford, United Kingdom; and Imperial College, London, United Kingdom
| | - Bruce Neal
- From Uppsala University, Uppsala, Sweden; Sydney University, Sydney, Australia; University of Auckland, Auckland, New Zealand; University of Oxford, Oxford, United Kingdom; and Imperial College, London, United Kingdom
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Cost-effectiveness analysis of cardiovascular risk factor screening in women who experienced hypertensive pregnancy disorders at term. Pregnancy Hypertens 2014; 4:264-70. [DOI: 10.1016/j.preghy.2014.06.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2014] [Revised: 05/12/2014] [Accepted: 06/10/2014] [Indexed: 11/13/2022]
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Onder G, Landi F, Fusco D, Corsonello A, Tosato M, Battaglia M, Mastropaolo S, Settanni S, Antocicco M, Lattanzio F. Recommendations to prescribe in complex older adults: results of the CRIteria to assess appropriate Medication use among Elderly complex patients (CRIME) project. Drugs Aging 2014; 31:33-45. [PMID: 24234805 DOI: 10.1007/s40266-013-0134-4] [Citation(s) in RCA: 57] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The occurrence of several geriatric conditions may influence the efficacy and limit the use of drugs prescribed to treat chronic conditions. Functional and cognitive impairment, geriatric syndromes (i.e. falls or malnutrition) and limited life expectancy are common features of old age, which may limit the efficacy of pharmacological treatments and question the appropriateness of treatment. However, the assessment of these geriatric conditions is rarely incorporated into clinical trials and treatment guidelines. The CRIME (CRIteria to assess appropriate Medication use among Elderly complex patients) project is aimed at producing recommendations to guide pharmacologic prescription in older complex patients with a limited life expectancy, functional and cognitive impairment, and geriatric syndromes, and providing physicians with a tool to improve the quality of prescribing, independent of setting and nationality. To achieve these aims, we performed the following: (i) Existing disease-specific guidelines on pharmacological prescription for the treatment of diabetes, hypertension, congestive heart failure, atrial fibrillation and coronary heart disease were reviewed to assess whether they include specific indications for complex patients; (ii) a literature search was performed to identify relevant articles assessing the pharmacological treatment of complex patients; (iii) A total of 19 new recommendations were developed based on the results of the literature search and expert consensus. In conclusion, the new recommendations evaluate the appropriateness of pharmacological prescription in older complex patients, translating the recommendations of clinical guidelines to patients with a limited life expectancy, functional and cognitive impairment, and geriatric syndromes. These recommendations cannot represent substitutes for careful clinical consideration and deliberation by physicians; the recommendations are not meant to replace existing clinical guidelines, but they may be used to help physicians in the prescribing process.
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Abstract
BACKGROUND We aimed to investigate whether the benefits of blood pressure-lowering drugs are proportional to baseline cardiovascular risk, to establish whether absolute risk could be used to inform treatment decisions for blood pressure-lowering therapy, as is recommended for lipid-lowering therapy. METHODS This meta-analysis included individual participant data from trials that randomly assigned patients to either blood pressure-lowering drugs or placebo, or to more intensive or less intensive blood pressure-lowering regimens. The primary outcome was total major cardiovascular events, consisting of stroke, heart attack, heart failure, or cardiovascular death. Participants were separated into four categories of baseline 5-year major cardiovascular risk using a risk prediction equation developed from the placebo groups of the included trials (<11%, 11-15%, 15-21%, >21%). FINDINGS 11 trials and 26 randomised groups met the inclusion criteria, and included 67,475 individuals, of whom 51,917 had available data for the calculation of the risk equations. 4167 (8%) had a cardiovascular event during a median of 4·0 years (IQR 3·4-4·4) of follow-up. The mean estimated baseline levels of 5-year cardiovascular risk for each of the four risk groups were 6·0% (SD 2·0), 12·1% (1·5), 17·7% (1·7), and 26·8% (5·4). In each consecutive higher risk group, blood pressure-lowering treatment reduced the risk of cardiovascular events relatively by 18% (95% CI 7-27), 15% (4-25), 13% (2-22), and 15% (5-24), respectively (p=0·30 for trend). However, in absolute terms, treating 1000 patients in each group with blood pressure-lowering treatment for 5 years would prevent 14 (95% CI 8-21), 20 (8-31), 24 (8-40), and 38 (16-61) cardiovascular events, respectively (p=0·04 for trend). INTERPRETATION Lowering blood pressure provides similar relative protection at all levels of baseline cardiovascular risk, but progressively greater absolute risk reductions as baseline risk increases. These results support the use of predicted baseline cardiovascular disease risk equations to inform blood pressure-lowering treatment decisions. FUNDING None.
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Lakić D, Petrova G, Bogavac-Stanojević N, Jelić-Ivanović Z, Kos M. The Cost-Effectiveness of Hypertension Pharmacotherapy in Serbia: A Markov Model. BIOTECHNOL BIOTEC EQ 2014. [DOI: 10.5504/bbeq.2012.0009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
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Stevanović J, O’Prinsen AC, Verheggen BG, Schuiling-Veninga N, Postma MJ, Pechlivanoglou P. Economic Evaluation of Primary Prevention of Cardiovascular Diseases in Mild Hypertension: A Scenario Analysis for the Netherlands. Clin Ther 2014; 36:368-84.e5. [DOI: 10.1016/j.clinthera.2014.01.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2013] [Revised: 12/21/2013] [Accepted: 01/10/2014] [Indexed: 11/15/2022]
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Turchin A, Conlin PR. The doctor needs to see you now: accelerating the care of patients with uncontrolled hypertension. Expert Rev Cardiovasc Ther 2014; 8:1501-3. [PMID: 21090922 DOI: 10.1586/erc.10.140] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
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Ademi Z, Kim H, Zomer E, Reid CM, Hollingsworth B, Liew D. Overview of pharmacoeconomic modelling methods. Br J Clin Pharmacol 2013; 75:944-50. [PMID: 22882459 DOI: 10.1111/j.1365-2125.2012.04421.x] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2012] [Accepted: 08/07/2012] [Indexed: 11/26/2022] Open
Abstract
In the current climate of burgeoning health care costs, pharmacoeconomics is becoming increasingly important, but knowledge about pharmacoeconomic methods is limited among most clinicians. This review provides an introduction to, and overview of, common methods used in pharmacoeconomic modelling: decision analysis, Markov modelling, discounting and uncertainty analyses via Monte Carlo simulation. It will conclude with a suggested approach to reading and appraising published pharmacoeconomic analyses.
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Affiliation(s)
- Zanfina Ademi
- Melbourne EpiCentre, Department of Medicine (Royal Melbourne Hospital), The University of Melbourne, Melbourne, Victoria, Australia.
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Dorenkamp M, Bonaventura K, Leber AW, Boldt J, Sohns C, Boldt LH, Haverkamp W, Frei U, Roser M. Potential lifetime cost-effectiveness of catheter-based renal sympathetic denervation in patients with resistant hypertension. Eur Heart J 2012; 34:451-61. [PMID: 23091202 DOI: 10.1093/eurheartj/ehs355] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
AIMS Recent studies have demonstrated the safety and efficacy of catheter-based renal sympathetic denervation (RDN) for the treatment of resistant hypertension. We aimed to determine the cost-effectiveness of this approach separately for men and women of different ages. METHODS AND RESULTS A Markov state-transition model accounting for costs, life-years, quality-adjusted life-years (QALYs), and incremental cost-effectiveness was developed to compare RDN with best medical therapy (BMT) in patients with resistant hypertension. The model ran from age 30 to 100 years or death, with a cycle length of 1 year. The efficacy of RDN was modelled as a reduction in the risk of hypertension-related disease events and death. Analyses were conducted from a payer's perspective. Costs and QALYs were discounted at 3% annually. Both deterministic and probabilistic sensitivity analyses were performed. When compared with BMT, RDN gained 0.98 QALYs in men and 0.88 QALYs in women 60 years of age at an additional cost of €2589 and €2044, respectively. As the incremental cost-effectiveness ratios increased with patient age, RDN consistently yielded more QALYs at lower costs in lower age groups. Considering a willingness-to-pay threshold of €35 000/QALY, there was a 95% probability that RDN would remain cost-effective up to an age of 78 and 76 years in men and women, respectively. Cost-effectiveness was influenced mostly by the magnitude of effect of RDN on systolic blood pressure, the rate of RDN non-responders, and the procedure costs of RDN. CONCLUSION Renal sympathetic denervation is a cost-effective intervention for patients with resistant hypertension. Earlier treatment produces better cost-effectiveness ratios.
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Affiliation(s)
- Marc Dorenkamp
- Department of Cardiology, Charité - Universitätsmedizin Berlin, Campus Virchow-Klinikum, Augustenburger Platz 1, 13353 Berlin, Germany.
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Stevanovic J, Postma MJ, Pechlivanoglou P. A systematic review on the application of cardiovascular risk prediction models in pharmacoeconomics, with a focus on primary prevention. Eur J Prev Cardiol 2012; 19:42-53. [DOI: 10.1177/2047487312448994] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Jelena Stevanovic
- Department of Pharmacoepidemiology and Pharmacoeconomics (PE2), University of Groningen, The Netherlands
| | - Maarten J Postma
- Department of Pharmacoepidemiology and Pharmacoeconomics (PE2), University of Groningen, The Netherlands
| | - Petros Pechlivanoglou
- Department of Pharmacoepidemiology and Pharmacoeconomics (PE2), University of Groningen, The Netherlands
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Athanasakis K, Souliotis K, Tountas Y, Kyriopoulos J, Hatzakis A. A cost-utility analysis of hypertension treatment in Greece: assessing the impact of age, sex and smoking status, on outcomes. J Hypertens 2012; 30:227-34. [PMID: 22157591 DOI: 10.1097/hjh.0b013e32834d9f18] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
OBJECTIVES To assess the cost-utility of hypertension treatment versus a hypothetical 'no-treatment' strategy in Greece. METHODS A six-state Markov model simulated the occurrence of major cardiovascular events for hypertensive patients over a 20-year period. Baseline population consisted of a cohort of 1453 patients (46.92% men) that were followed up for a 1-year period, during which health-resource use and clinical characteristics of hypertension were documented. Age, sex and smoking status - specific transition probabilities in the model - were estimated via the HellenicSCORE and Framingham risk equations. The analysis followed a third-party payer perspective. RESULTS Incremental cost-effectiveness ratios (ICERs) of treatment versus no treatment were 3539&OV0556;/quality-adjusted life year (QALY), 3986&OV0556;/QALY, 3957&OV0556;/QALY and 5485&OV0556;/QALY gained for men smokers, men nonsmokers, women smokers and women nonsmokers, respectively. ICERs became more favorable with an increase in the years of treatment and advanced age of treatment initiation across all study groups. The probabilistic sensitivity analysis showed that the base-case scenario results were cost-effective for an implicit 30 000&OV0556;/QALY threshold at 97.4, 95.2, 94.8, and 86% of the 10 000 Monte Carlo simulations for men smokers, men nonsmokers, women smokers and women nonsmokers, respectively. CONCLUSION In the case of hypertension, one of the most prevalent and modifiable diseases/risk factors, that is accompanied by large-scale costs, the above analysis demonstrates that treatment is a highly cost-effective intervention that should be further supported at the patient and the system level.
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Affiliation(s)
- Kostas Athanasakis
- Department of Hygiene, Epidemiology and Medical Statistics, Athens University Medical School, Athens, Greece.
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Liew SM, Jackson R, Mant D, Glasziou P. Should identical CVD risks in young and old patients be managed identically? Results from two models. BMJ Open 2012; 2:e000728. [PMID: 22382122 PMCID: PMC3293135 DOI: 10.1136/bmjopen-2011-000728] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
OBJECTIVES To assess whether delaying risk reduction treatment has a different impact on potential life years lost in younger compared with older patients at the same baseline short-term cardiovascular risk. DESIGN Modelling based on population data. METHODS Potential years of life lost from a 5-year treatment delay were estimated for patients of different ages but with the same cardiovascular risk (either 5% or 10% 5-year risk). Two models were used: an age-based residual life expectancy model and a Markov simulation model. Age-specific case fatality rates and time preferences were applied to both models, and competing mortality risks were incorporated into the Markov model. RESULTS Younger patients had more potential life years to lose if untreated, but the maximum difference between 35 and 85 years was <1 year, when models were unadjusted for time preferences or competing risk. When these adjusters were included, the maximum difference fell to about 1 month, although the direction was reversed with older people having more to lose. CONCLUSIONS Surprisingly, age at onset of treatment has little impact on the likely benefits of interventions that reduce cardiovascular risk because of the opposing effects of life expectancy, case fatality, time preferences and competing risks. These findings challenge the appropriateness of recommendations to use lower risk-based treatment thresholds in younger patients.
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Affiliation(s)
- Su May Liew
- Department of Primary Care Medicine and Julius Center UM, University of Malaya, Kuala Lumpur, Malaysia
- Department of Primary Health Care, University of Oxford, Oxford, UK
| | - Rod Jackson
- University of Auckland, Auckland, New Zealand
| | - David Mant
- Department of Primary Health Care, University of Oxford, Oxford, UK
| | - Paul Glasziou
- Centre for Research in Evidence-Based Practice, Bond University, Gold Coast, Queensland, Australia
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Nuckols TK, Aledort JE, Adams J, Lai J, Go MH, Keesey J, McGlynn E. Cost implications of improving blood pressure management among U.S. adults. Health Serv Res 2011; 46:1124-57. [PMID: 21306365 PMCID: PMC3165181 DOI: 10.1111/j.1475-6773.2010.01239.x] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVE To examine the cost-effectiveness of improving blood pressure management from the payer perspective. DATA SOURCE/STUDY SETTING Medical record data for 4,500 U.S. adults with hypertension from the Community Quality Index (CQI) study (1996-2002), pharmaceutical claims from four Massachusetts health plans (2004-2006), Medicare fee schedule (2009), and published literature. STUDY DESIGN A probability tree depicted blood pressure management over 2 years. DATA COLLECTION/EXTRACTION METHODS We determined how frequently CQI study subjects received recommended care processes and attained accepted treatment goals, estimated utilization of visits and medications associated with recommended care, assigned costs based on utilization, and then modeled how hospitalization rates, costs, and goal attainment would change if all recommended care was provided. PRINCIPAL FINDINGS Relative to current care, improved care would cost payers U.S.$170 more per hypertensive person annually (2009 dollars). The incremental cost per person newly attaining treatment goals over 2 years would be U.S.$1,696 overall, U.S.$801 for moderate hypertension, and U.S.$850 for severe hypertension. Among people with severe hypertension, blood pressure would decline substantially but seldom reach goal; the incremental cost per person attaining a relaxed goal (≤ stage 1) would be U.S.$185. CONCLUSIONS Under the Health Care Effectiveness Data and Information Set program, which monitors the attainment of blood pressure treatment goals, payers will find it slightly more cost-effective to improve care for moderate than severe hypertension. Having a secondary, relaxed goal would substantially increase payers' incentive to improve care for severe hypertension.
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Affiliation(s)
- Teryl K Nuckols
- RAND Corporation, 1776 Main Street, Santa Monica, CA 90407, USA.
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Hodgkinson J, Mant J, Martin U, Guo B, Hobbs FDR, Deeks JJ, Heneghan C, Roberts N, McManus RJ. Relative effectiveness of clinic and home blood pressure monitoring compared with ambulatory blood pressure monitoring in diagnosis of hypertension: systematic review. BMJ 2011; 342:d3621. [PMID: 21705406 PMCID: PMC3122300 DOI: 10.1136/bmj.d3621] [Citation(s) in RCA: 244] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To determine the relative accuracy of clinic measurements and home blood pressure monitoring compared with ambulatory blood pressure monitoring as a reference standard for the diagnosis of hypertension. DESIGN Systematic review with meta-analysis with hierarchical summary receiver operating characteristic models. Methodological quality was appraised, including evidence of validation of blood pressure measurement equipment. DATA SOURCES Medline (from 1966), Embase (from 1980), Cochrane Database of Systematic Reviews, DARE, Medion, ARIF, and TRIP up to May 2010. Eligibility criteria for selecting studies Eligible studies examined diagnosis of hypertension in adults of all ages using home and/or clinic blood pressure measurement compared with those made using ambulatory monitoring that clearly defined thresholds to diagnose hypertension. RESULTS The 20 eligible studies used various thresholds for the diagnosis of hypertension, and only seven studies (clinic) and three studies (home) could be directly compared with ambulatory monitoring. Compared with ambulatory monitoring thresholds of 135/85 mm Hg, clinic measurements over 140/90 mm Hg had mean sensitivity and specificity of 74.6% (95% confidence interval 60.7% to 84.8%) and 74.6% (47.9% to 90.4%), respectively, whereas home measurements over 135/85 mm Hg had mean sensitivity and specificity of 85.7% (78.0% to 91.0%) and 62.4% (48.0% to 75.0%). CONCLUSIONS Neither clinic nor home measurement had sufficient sensitivity or specificity to be recommended as a single diagnostic test. If ambulatory monitoring is taken as the reference standard, then treatment decisions based on clinic or home blood pressure alone might result in substantial overdiagnosis. Ambulatory monitoring before the start of lifelong drug treatment might lead to more appropriate targeting of treatment, particularly around the diagnostic threshold.
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Affiliation(s)
- J Hodgkinson
- Primary Care Clinical Sciences, University of Birmingham, Edgbaston, Birmingham B15 2PP
| | - J Mant
- General Practice and Primary Care Research Unit, University of Cambridge, Cambridge CB2 0SR
| | - U Martin
- School of Clinical and Experimental Medicine, University of Birmingham, Edgbaston
| | - B Guo
- Public Health, Epidemiology and Biostatistics, University of Birmingham, Edgbaston
| | - F D R Hobbs
- Primary Care Clinical Sciences, University of Birmingham, Edgbaston, Birmingham B15 2PP
| | - J J Deeks
- Public Health, Epidemiology and Biostatistics, University of Birmingham, Edgbaston
| | - C Heneghan
- Department of Primary Health Care, University of Oxford, Headington, Oxford OX3 7LF
| | - N Roberts
- Bodleian Health Care Libraries, Knowledge Centre, ORC Medical Research Building, Oxford OX3 7DQ
| | - R J McManus
- Primary Care Clinical Sciences, University of Birmingham, Edgbaston, Birmingham B15 2PP
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Mosca L, Benjamin EJ, Berra K, Bezanson JL, Dolor RJ, Lloyd-Jones DM, Newby LK, Piña IL, Roger VL, Shaw LJ, Zhao D, Beckie TM, Bushnell C, D'Armiento J, Kris-Etherton PM, Fang J, Ganiats TG, Gomes AS, Gracia CR, Haan CK, Jackson EA, Judelson DR, Kelepouris E, Lavie CJ, Moore A, Nussmeier NA, Ofili E, Oparil S, Ouyang P, Pinn VW, Sherif K, Smith SC, Sopko G, Chandra-Strobos N, Urbina EM, Vaccarino V, Wenger NK. Effectiveness-based guidelines for the prevention of cardiovascular disease in women--2011 update: a guideline from the American Heart Association. J Am Coll Cardiol 2011; 57:1404-23. [PMID: 21388771 PMCID: PMC3124072 DOI: 10.1016/j.jacc.2011.02.005] [Citation(s) in RCA: 570] [Impact Index Per Article: 43.8] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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