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Blood AJ, Chang LS, Colling C, Stern G, Gabovitch D, Feldman G, Adan A, Waterman F, Durden E, Hamersky C, Noone J, Aronson SJ, Liberatore P, Gaziano TA, Matta LS, Plutzky J, Cannon CP, Wexler DJ, Scirica BM. Methods, rationale, and design for a remote pharmacist and navigator-driven disease management program to improve guideline-directed medical therapy in patients with type 2 diabetes at elevated cardiovascular and/or kidney risk. Prim Care Diabetes 2024; 18:202-209. [PMID: 38302335 DOI: 10.1016/j.pcd.2024.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 11/24/2023] [Accepted: 01/09/2024] [Indexed: 02/03/2024]
Abstract
AIM Describe the rationale for and design of Diabetes Remote Intervention to improVe use of Evidence-based medications (DRIVE), a remote medication management program designed to initiate and titrate guideline-directed medical therapy (GDMT) in patients with type 2 diabetes (T2D) at elevated cardiovascular (CV) and/or kidney risk by leveraging non-physician providers. METHODS An electronic health record based algorithm is used to identify patients with T2D and either established atherosclerotic CV disease (ASCVD), high risk for ASCVD, chronic kidney disease, and/or heart failure within our health system. Patients are invited to participate and randomly assigned to either simultaneous education and medication management, or a period of education prior to medication management. Patient navigators (trained, non-licensed staff) are the primary points of contact while a pharmacist or nurse practitioner reviews and authorizes each medication initiation and titration under an institution-approved collaborative drug therapy management protocol with supervision from a cardiologist and/or endocrinologist. Patient engagement is managed through software to support communication, automation, workflow, and standardization. CONCLUSION We are testing a remote, navigator-driven, pharmacist-led, and physician-overseen management strategy to optimize GDMT for T2D as a population-level strategy to close the gap between guidelines and clinical practice for patients with T2D at elevated CV and/or kidney risk.
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Affiliation(s)
- Alexander J Blood
- Accelerator for Clinical Transformation, Brigham and Women's Hospital, Boston, MA, USA; Cardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Lee-Shing Chang
- Endocrinology Division, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Caitlin Colling
- Endocrinology Division, Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Gretchen Stern
- Accelerator for Clinical Transformation, Brigham and Women's Hospital, Boston, MA, USA
| | - Daniel Gabovitch
- Accelerator for Clinical Transformation, Brigham and Women's Hospital, Boston, MA, USA
| | - Guinevere Feldman
- Accelerator for Clinical Transformation, Brigham and Women's Hospital, Boston, MA, USA
| | - Asma Adan
- Accelerator for Clinical Transformation, Brigham and Women's Hospital, Boston, MA, USA
| | | | | | | | | | - Samuel J Aronson
- Accelerator for Clinical Transformation, Brigham and Women's Hospital, Boston, MA, USA; Personalized Medicine, Mass General Brigham, Cambridge, MA, USA
| | - Paul Liberatore
- Accelerator for Clinical Transformation, Brigham and Women's Hospital, Boston, MA, USA; Personalized Medicine, Mass General Brigham, Cambridge, MA, USA
| | - Thomas A Gaziano
- Accelerator for Clinical Transformation, Brigham and Women's Hospital, Boston, MA, USA; Cardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Lina S Matta
- Accelerator for Clinical Transformation, Brigham and Women's Hospital, Boston, MA, USA
| | - Jorge Plutzky
- Accelerator for Clinical Transformation, Brigham and Women's Hospital, Boston, MA, USA; Cardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Christopher P Cannon
- Accelerator for Clinical Transformation, Brigham and Women's Hospital, Boston, MA, USA; Cardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Deborah J Wexler
- Endocrinology Division, Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
| | - Benjamin M Scirica
- Accelerator for Clinical Transformation, Brigham and Women's Hospital, Boston, MA, USA; Cardiovascular Division, Brigham and Women's Hospital, Boston, MA, USA; Harvard Medical School, Boston, MA, USA
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Spatz ES, Ginsburg GS, Rumsfeld JS, Turakhia MP. Wearable Digital Health Technologies for Monitoring in Cardiovascular Medicine. N Engl J Med 2024; 390:346-356. [PMID: 38265646 DOI: 10.1056/nejmra2301903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Affiliation(s)
- Erica S Spatz
- From the Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT (E.S.S.); the National Institutes of Health, Bethesda, MD (G.S.G.); the University of Colorado School of Medicine, Aurora (J.S.R.); and Meta Platforms, Menlo Park (J.S.R.), the Stanford Center for Digital Health, Stanford University School of Medicine, Stanford (M.P.T.), and iRhythm Technologies, San Francisco (M.P.T.) - all in California
| | - Geoffrey S Ginsburg
- From the Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT (E.S.S.); the National Institutes of Health, Bethesda, MD (G.S.G.); the University of Colorado School of Medicine, Aurora (J.S.R.); and Meta Platforms, Menlo Park (J.S.R.), the Stanford Center for Digital Health, Stanford University School of Medicine, Stanford (M.P.T.), and iRhythm Technologies, San Francisco (M.P.T.) - all in California
| | - John S Rumsfeld
- From the Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT (E.S.S.); the National Institutes of Health, Bethesda, MD (G.S.G.); the University of Colorado School of Medicine, Aurora (J.S.R.); and Meta Platforms, Menlo Park (J.S.R.), the Stanford Center for Digital Health, Stanford University School of Medicine, Stanford (M.P.T.), and iRhythm Technologies, San Francisco (M.P.T.) - all in California
| | - Mintu P Turakhia
- From the Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT (E.S.S.); the National Institutes of Health, Bethesda, MD (G.S.G.); the University of Colorado School of Medicine, Aurora (J.S.R.); and Meta Platforms, Menlo Park (J.S.R.), the Stanford Center for Digital Health, Stanford University School of Medicine, Stanford (M.P.T.), and iRhythm Technologies, San Francisco (M.P.T.) - all in California
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Cho J, Noonan SH, Fay R, Apovian CM, McCarthy AC, Blood AJ, Samal L, Fisher N, Orav JE, Plutzky J, Block JP, Bates DW, Rozenblum R, Tucci M, McPartlin M, Gordon WJ, McManus KD, Morrison-Deutsch C, Scirica BM, Baer HJ. Implementation of a Scalable Online Weight Management Programme in Clinical Settings: Protocol for the PROPS 2.0 Programme (Partnerships for Reducing Overweight and Obesity with Patient-Centered Strategies 2.0). BMJ Open 2023; 13:e077520. [PMID: 38135330 DOI: 10.1136/bmjopen-2023-077520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2023] Open
Abstract
INTRODUCTION There is an urgent need for scalable strategies for treating overweight and obesity in clinical settings. PROPS 2.0 (Partnerships for Reducing Overweight and Obesity with Patient-Centered Strategies 2.0) aims to adapt and implement the combined intervention from the PROPS Study at scale, in a diverse cross-section of patients and providers. METHODS AND ANALYSIS We are implementing PROPS 2.0 across a variety of clinics at Brigham and Women's Hospital, targeting enrolment of 5000 patients. Providers can refer patients or patients can self-refer. Eligible patients must be ≥20 years old and have a body mass index (BMI) of ≥30 kg/m2 or a BMI of 25-29.9 kg/m2 plus another cardiovascular risk factor or obesity-related condition. After enrolment, patients register for the RestoreHealth online programme/app (HealthFleet Inc.) and participate for 12 months. Patients can engage with the programme and receive personalized feedback from a coach. Patient navigators help to enrol patients, enter updates in the electronic health record, and refer patients to additional resources. The RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework is guiding the evaluation. ETHICS AND DISSEMINATION The Mass General Brigham Human Research Committee approved this protocol. An implementation guide will be created and disseminated, to help other sites adopt the intervention in the future. TRIAL REGISTRATION NUMBER NCT0555925.
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Affiliation(s)
- JoAnn Cho
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Sarah H Noonan
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Richard Fay
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Caroline M Apovian
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, MA, USA
| | - Ashley C McCarthy
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Alexander J Blood
- Harvard Medical School, Boston, MA, USA
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Lipika Samal
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, MA, USA
| | - Naomi Fisher
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, MA, USA
| | - John E Orav
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, MA, USA
- Harvard T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Jorge Plutzky
- Harvard Medical School, Boston, MA, USA
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Jason P Block
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, MA, USA
- Department of Population Medicine, Harvard Medical School, Boston, Massachusetts, USA
| | - David Westfall Bates
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, MA, USA
- Harvard T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Ronen Rozenblum
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, MA, USA
| | - Michela Tucci
- Accelerator for Clinical Transformation, Mass General Brigham, Boston, Massachusetts, USA
| | - Marian McPartlin
- Accelerator for Clinical Transformation, Mass General Brigham, Boston, Massachusetts, USA
| | - Willam J Gordon
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, MA, USA
| | - Katherine D McManus
- Department of Nutrition, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | | | - Benjamin M Scirica
- Harvard Medical School, Boston, MA, USA
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Heather J Baer
- Division of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, MA, USA
- Harvard T H Chan School of Public Health, Boston, Massachusetts, USA
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Berman AN, Ginder C, Wang XS, Borden L, Hidrue MK, Searl Como JM, Daly D, Sun YP, Curry WT, Del Carmen M, Morrow DA, Scirica B, Choudhry NK, Januzzi JL, Wasfy JH. A pragmatic clinical trial assessing the effect of a targeted notification and clinical support pathway on the diagnostic evaluation and treatment of individuals with left ventricular hypertrophy (NOTIFY-LVH). Am Heart J 2023; 265:40-49. [PMID: 37454754 DOI: 10.1016/j.ahj.2023.06.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 06/19/2023] [Accepted: 06/28/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Electronic health records contain vast amounts of cardiovascular data, including potential clues suggesting unrecognized conditions. One important example is the identification of left ventricular hypertrophy (LVH) on echocardiography. If the underlying causes are untreated, individuals are at increased risk of developing clinically significant pathology. As the most common cause of LVH, hypertension accounts for more cardiovascular deaths than any other modifiable risk factor. Contemporary healthcare systems have suboptimal mechanisms for detecting and effectively implementing hypertension treatment before downstream consequences develop. Thus, there is an urgent need to validate alternative intervention strategies for individuals with preexisting-but potentially unrecognized-LVH. METHODS Through a randomized pragmatic trial within a large integrated healthcare system, we will study the impact of a centralized clinical support pathway on the diagnosis and treatment of hypertension and other LVH-associated diseases in individuals with echocardiographic evidence of concentric LVH. Approximately 600 individuals who are not treated for hypertension and who do not have a known cardiomyopathy will be randomized. The intervention will be directed by population health coordinators who will notify longitudinal clinicians and offer to assist with the diagnostic evaluation of LVH. Our hypothesis is that an intervention that alerts clinicians to the presence of LVH will increase the detection and treatment of hypertension and the diagnosis of alternative causes of thickened myocardium. The primary outcome is the initiation of an antihypertensive medication. Secondary outcomes include new hypertension diagnoses and new cardiomyopathy diagnoses. The trial began in March 2023 and outcomes will be assessed 12 months from the start of follow-up. CONCLUSION The NOTIFY-LVH trial will assess the efficacy of a centralized intervention to improve the detection and treatment of hypertension and LVH-associated diseases. Additionally, it will serve as a proof-of-concept for how to effectively utilize previously collected electronic health data to improve the recognition and management of a broad range of chronic cardiovascular conditions. TRIAL REGISTRATION NCT05713916.
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Affiliation(s)
- Adam N Berman
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA; Massachusetts General Physicians Organization, Boston, MA
| | - Curtis Ginder
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Xianghong S Wang
- Division of Performance Analysis and Improvement, Massachusetts General Physicians Organization, Boston, MA
| | - Linnea Borden
- Massachusetts General Physicians Organization, Boston, MA
| | - Michael K Hidrue
- Division of Performance Analysis and Improvement, Massachusetts General Physicians Organization, Boston, MA
| | | | - Danielle Daly
- Massachusetts General Physicians Organization, Boston, MA
| | - Yee-Ping Sun
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - William T Curry
- Massachusetts General Physicians Organization, Boston, MA; Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - Marcela Del Carmen
- Massachusetts General Physicians Organization, Boston, MA; Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - David A Morrow
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Benjamin Scirica
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Niteesh K Choudhry
- Department of Medicine, Center for Healthcare Delivery Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - James L Januzzi
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA; Heart Failure and Biomarker Trials, Baim Institute for Clinical Research, Boston, MA
| | - Jason H Wasfy
- Massachusetts General Physicians Organization, Boston, MA; Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA.
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5
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Wang MC, Petito LC, Pool LR, Foti K, Juraschek SP, McEvoy JW, Nambi V, Carnethon MR, Michos ED, Khan SS. The 2017 American College of Cardiology/American Heart Association Hypertension Guideline and Blood Pressure in Older Adults. Am J Prev Med 2023; 65:640-648. [PMID: 37105448 PMCID: PMC10524146 DOI: 10.1016/j.amepre.2023.04.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 04/17/2023] [Accepted: 04/17/2023] [Indexed: 04/29/2023]
Abstract
INTRODUCTION The 2017 American College of Cardiology/American Heart Association blood pressure guideline redefined hypertension and lowered the blood pressure treatment target. Empirical data on the guideline's impact are needed. METHODS Data were analyzed from Atherosclerosis Risk in Communities study participants who attended baseline pre-guideline (2016-2017) and post-guideline (2018-2019) visits with baseline systolic blood pressure between 120 and 159 mmHg. Participants were grouped according to baseline systolic blood pressure by change in classification under the new guideline as follows: not reclassified (120-129 mmHg), reclassified to Stage 1 hypertension (130-139 mmHg), and reclassified to Stage 2 hypertension (140-159 mmHg). Means and 95% CIs for systolic blood pressure changes between baseline and follow-up, changes in antihypertensive use, and percentages that achieved the post-guideline recommendation (systolic blood pressure <130 mmHg) were calculated. Analyses were performed in 2021-2022. RESULTS Among 2,193 community-dwelling Atherosclerosis Risk in Communities participants aged 71-95 years at baseline, systolic blood pressure changes between baseline and follow-up visits differed among participants not reclassified (+4.1 mmHg, 95% CI=3.0, 5.3 mmHg), reclassified to Stage 1 hypertension (-1.1 mmHg, 95% CI= -2.2, 0.1 mmHg), and reclassified to Stage 2 hypertension (-5.7 mmHg, 95% CI= -6.8, -4.7 mmHg). Antihypertensive use changed from 77.3% to 78.4% (p=0.25) among participants reclassified to Stage 1 hypertension and from 78.3% to 81.4% (p<0.01) among participants reclassified to Stage 2 hypertension. At follow-up, 41.8% of the Stage 1 and 22.4% of the Stage 2 hypertension groups reached the systolic blood pressure <130 mmHg goal. CONCLUSIONS There were small decreases in systolic blood pressure and increases in antihypertensive therapy among older adults reclassified to Stage 2 hypertension but not among those reclassified to Stage 1 hypertension by the 2017 American College of Cardiology/American Heart Association guideline.
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Affiliation(s)
- Michael C Wang
- Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania
| | - Lucia C Petito
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Lindsay R Pool
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Kathryn Foti
- Department of Epidemiology, School of Public Health, The University of Alabama at Birmingham, Birmingham, Alabama
| | - Stephen P Juraschek
- Division of General Medicine and Primary Care, Beth Israel Deaconess Medical Center, Boston, Massachusetts
| | - John W McEvoy
- National Institute for Prevention and Cardiovascular Health, University of Galway School of Medicine, Galway, Ireland; Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Vijay Nambi
- Michael E DeBakey Veterans Affairs Hital, Baylor College of Medicine, Houston, Texas; Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Mercedes R Carnethon
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Erin D Michos
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Sadiya S Khan
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois; Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
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Virani SS, Newby LK, Arnold SV, Bittner V, Brewer LC, Demeter SH, Dixon DL, Fearon WF, Hess B, Johnson HM, Kazi DS, Kolte D, Kumbhani DJ, LoFaso J, Mahtta D, Mark DB, Minissian M, Navar AM, Patel AR, Piano MR, Rodriguez F, Talbot AW, Taqueti VR, Thomas RJ, van Diepen S, Wiggins B, Williams MS. 2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines. Circulation 2023; 148:e9-e119. [PMID: 37471501 DOI: 10.1161/cir.0000000000001168] [Citation(s) in RCA: 110] [Impact Index Per Article: 110.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/22/2023]
Abstract
AIM The "2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease" provides an update to and consolidates new evidence since the "2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease" and the corresponding "2014 ACC/AHA/AATS/PCNA/SCAI/STS Focused Update of the Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease." METHODS A comprehensive literature search was conducted from September 2021 to May 2022. Clinical studies, systematic reviews and meta-analyses, and other evidence conducted on human participants were identified that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline. STRUCTURE This guideline provides an evidenced-based and patient-centered approach to management of patients with chronic coronary disease, considering social determinants of health and incorporating the principles of shared decision-making and team-based care. Relevant topics include general approaches to treatment decisions, guideline-directed management and therapy to reduce symptoms and future cardiovascular events, decision-making pertaining to revascularization in patients with chronic coronary disease, recommendations for management in special populations, patient follow-up and monitoring, evidence gaps, and areas in need of future research. Where applicable, and based on availability of cost-effectiveness data, cost-value recommendations are also provided for clinicians. Many recommendations from previously published guidelines have been updated with new evidence, and new recommendations have been created when supported by published data.
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Affiliation(s)
| | | | | | | | | | | | - Dave L Dixon
- Former Joint Committee on Clinical Practice Guideline member; current member during the writing effort
| | - William F Fearon
- Society for Cardiovascular Angiography and Interventions representative
| | | | | | | | - Dhaval Kolte
- AHA/ACC Joint Committee on Clinical Data Standards
| | | | | | | | - Daniel B Mark
- Former Joint Committee on Clinical Practice Guideline member; current member during the writing effort
| | | | | | | | - Mariann R Piano
- Former Joint Committee on Clinical Practice Guideline member; current member during the writing effort
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7
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Virani SS, Newby LK, Arnold SV, Bittner V, Brewer LC, Demeter SH, Dixon DL, Fearon WF, Hess B, Johnson HM, Kazi DS, Kolte D, Kumbhani DJ, LoFaso J, Mahtta D, Mark DB, Minissian M, Navar AM, Patel AR, Piano MR, Rodriguez F, Talbot AW, Taqueti VR, Thomas RJ, van Diepen S, Wiggins B, Williams MS. 2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease: A Report of the American Heart Association/American College of Cardiology Joint Committee on Clinical Practice Guidelines. J Am Coll Cardiol 2023; 82:833-955. [PMID: 37480922 DOI: 10.1016/j.jacc.2023.04.003] [Citation(s) in RCA: 55] [Impact Index Per Article: 55.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/24/2023]
Abstract
AIM The "2023 AHA/ACC/ACCP/ASPC/NLA/PCNA Guideline for the Management of Patients With Chronic Coronary Disease" provides an update to and consolidates new evidence since the "2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease" and the corresponding "2014 ACC/AHA/AATS/PCNA/SCAI/STS Focused Update of the Guideline for the Diagnosis and Management of Patients With Stable Ischemic Heart Disease." METHODS A comprehensive literature search was conducted from September 2021 to May 2022. Clinical studies, systematic reviews and meta-analyses, and other evidence conducted on human participants were identified that were published in English from MEDLINE (through PubMed), EMBASE, the Cochrane Library, Agency for Healthcare Research and Quality, and other selected databases relevant to this guideline. STRUCTURE This guideline provides an evidenced-based and patient-centered approach to management of patients with chronic coronary disease, considering social determinants of health and incorporating the principles of shared decision-making and team-based care. Relevant topics include general approaches to treatment decisions, guideline-directed management and therapy to reduce symptoms and future cardiovascular events, decision-making pertaining to revascularization in patients with chronic coronary disease, recommendations for management in special populations, patient follow-up and monitoring, evidence gaps, and areas in need of future research. Where applicable, and based on availability of cost-effectiveness data, cost-value recommendations are also provided for clinicians. Many recommendations from previously published guidelines have been updated with new evidence, and new recommendations have been created when supported by published data.
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8
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Sithole N, Castle A, Nxumalo S, Mazibuko L, Manyaapelo T, Abrahams-Gessel S, Dlamini S, Gareta D, Orne-Gliemann J, Baisley K, Bachmann M, Magula N, Gaziano TA, Siedner MJ. Protocol: Implementation evaluation of a combination intervention for sustainable blood pressure control in rural KwaZulu-Natal, South Africa (IMPACT BP): A three-arm, unblinded, parallel group individually randomized clinical trial. Contemp Clin Trials 2023; 131:107258. [PMID: 37308076 PMCID: PMC10527603 DOI: 10.1016/j.cct.2023.107258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 05/31/2023] [Accepted: 05/31/2023] [Indexed: 06/14/2023]
Abstract
BACKGROUND Hypertension is the primary risk factor for stroke and heart disease, which are leading causes of death in South Africa. Despite the availability of treatments, there is an implementation gap in how best to deliver hypertension care in this resource-limited region. METHODS We describe a three-arm parallel group individually randomized control trial to evaluate the effectiveness and implementation of a technology-supported, community-based intervention to improve blood pressure control among people with hypertension in rural KwaZulu-Natal. The study will compare three strategies: 1) standard of care (SOC arm) clinic-based management, 2) home-based blood pressure management supported by community blood pressure monitors (CBPM arm) and a mobile health application to record blood pressure readings and enable clinic-based nurses to remotely manage care, and 3) an identical strategy to the CBPM arm, except that participants will use a cellular blood pressure cuff, which automatically transmits completed readings over cellular networks directly to clinic-based nurses (eCBPM+ arm). The primary effectiveness outcome is change in blood pressure from enrollment to 6 months. The secondary effectiveness outcome is the proportion of participants with blood pressure control at 6 months. Acceptability, fidelity, sustainability, and cost-effectiveness of the interventions will also be assessed. CONCLUSIONS In this protocol, we report the development of interventions in partnership with the South Africa Department of Health, a description of the technology-enhanced interventions, and details of the study design so that our intervention and evaluation can inform similar efforts in rural, resource-limited settings. PROTOCOL Version 3 November 9th, 2022. CLINICALTRIALS gov Trial Registration: NCT05492955 SAHPRA Trial Number: N20211201. SANCTR Number: DOH-27-112,022-4895.
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Affiliation(s)
- Nsika Sithole
- Africa Health Research Institute, KwaZulu-Natal, South Africa.
| | - Alison Castle
- Africa Health Research Institute, KwaZulu-Natal, South Africa; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America
| | | | | | | | | | | | - Dickman Gareta
- Africa Health Research Institute, KwaZulu-Natal, South Africa
| | - Joanna Orne-Gliemann
- University of Bordeaux, National Institute for Health and Medical Research (INSERM) UMR 1219, Research Institute for Sustainable Development (IRD) EMR 271, Bordeaux Population Health Centre, Bordeaux, France
| | - Kathy Baisley
- Africa Health Research Institute, KwaZulu-Natal, South Africa; Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom
| | - Max Bachmann
- Norwich Medical School, University of East Anglia, Norwich, United Kingdom
| | - Nombulelo Magula
- Division of Internal Medicine, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
| | - Thomas A Gaziano
- Division of Cardiology, Brigham and Women's Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America; Harvard TH Chan School of Public Health, Boston, MA, United States of America
| | - Mark J Siedner
- Africa Health Research Institute, KwaZulu-Natal, South Africa; Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America; Division of Internal Medicine, University of KwaZulu-Natal, Durban, KwaZulu-Natal, South Africa
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9
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Abstract
We stand at a critical juncture in the delivery of health care for hypertension. Blood pressure control rates have stagnated, and traditional health care is failing. Fortunately, hypertension is exceptionally well-suited to remote management, and innovative digital solutions are proliferating. Early strategies arose with the spread of digital medicine, long before the COVID-19 pandemic forced lasting changes to the way medicine is practiced. Highlighting one contemporary example, this review explores salient features of remote management hypertensive programs, including: an automated algorithm to guide clinical decisions, home (as opposed to office) blood pressure measurements, an interdisciplinary care team, and robust information technology and analytics. Dozens of emerging hypertension management solutions are contributing to a highly fragmented and competitive landscape. Beyond viability, profit and scalability are critical. We explore the challenges impeding large-scale acceptance of these programs and conclude with a hopeful look to the future when remote hypertension care will have dramatic impact on global cardiovascular health.
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Affiliation(s)
- Simin Gharib Lee
- Division of Cardiology, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Naomi D.L. Fisher
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
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10
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Blood AJ, Cannon CP, Gordon WJ, Mailly C, MacLean T, Subramaniam S, Tucci M, Crossen J, Nichols H, Wagholikar KB, Zelle D, McPartlin M, Matta LS, Oates M, Aronson S, Murphy S, Landman A, Fisher NDL, Gaziano TA, Plutzky J, Scirica BM. Results of a Remotely Delivered Hypertension and Lipid Program in More Than 10 000 Patients Across a Diverse Health Care Network. JAMA Cardiol 2023; 8:12-21. [PMID: 36350612 PMCID: PMC9647559 DOI: 10.1001/jamacardio.2022.4018] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 09/02/2022] [Indexed: 11/11/2022]
Abstract
Importance Blood pressure (BP) and cholesterol control remain challenging. Remote care can deliver more effective care outside of traditional clinician-patient settings but scaling and ensuring access to care among diverse populations remains elusive. Objective To implement and evaluate a remote hypertension and cholesterol management program across a diverse health care network. Design, Setting, and Participants Between January 2018 and July 2021, 20 454 patients in a large integrated health network were screened; 18 444 were approached, and 10 803 were enrolled in a comprehensive remote hypertension and cholesterol program (3658 patients with hypertension, 8103 patients with cholesterol, and 958 patients with both). A total of 1266 patients requested education only without medication titration. Enrolled patients received education, home BP device integration, and medication titration. Nonlicensed navigators and pharmacists, supported by cardiovascular clinicians, coordinated care using standardized algorithms, task management and automation software, and omnichannel communication. BP and laboratory test results were actively monitored. Main Outcomes and Measures Changes in BP and low-density lipoprotein cholesterol (LDL-C). Results The mean (SD) age among 10 803 patients was 65 (11.4) years; 6009 participants (56%) were female; 1321 (12%) identified as Black, 1190 (11%) as Hispanic, 7758 (72%) as White, and 1727 (16%) as another or multiple races (including American Indian or Alaska Native, Asian, Native Hawaiian or Other Pacific Islander, unknown, other, and declined to respond; consolidated owing to small numbers); and 142 (11%) reported a preferred language other than English. A total of 424 482 BP readings and 139 263 laboratory reports were collected. In the hypertension program, the mean (SD) office BP prior to enrollment was 150/83 (18/10) mm Hg, and the mean (SD) home BP was 145/83 (20/12) mm Hg. For those engaged in remote medication management, the mean (SD) clinic BP 6 and 12 months after enrollment decreased by 8.7/3.8 (21.4/12.4) and 9.7/5.2 (22.2/12.6) mm Hg, respectively. In the education-only cohort, BP changed by a mean (SD) -1.5/-0.7 (23.0/11.1) and by +0.2/-1.9 (30.3/11.2) mm Hg, respectively (P < .001 for between cohort difference). In the lipids program, patients in remote medication management experienced a reduction in LDL-C by a mean (SD) 35.4 (43.1) and 37.5 (43.9) mg/dL at 6 and 12 months, respectively, while the education-only cohort experienced a mean (SD) reduction in LDL-C of 9.3 (34.3) and 10.2 (35.5) mg/dL at 6 and 12 months, respectively (P < .001). Similar rates of enrollment and reductions in BP and lipids were observed across different racial, ethnic, and primary language groups. Conclusions and Relevance The results of this study indicate that a standardized remote BP and cholesterol management program may help optimize guideline-directed therapy at scale, reduce cardiovascular risk, and minimize the need for in-person visits among diverse populations.
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Affiliation(s)
- Alexander J. Blood
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Christopher P. Cannon
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - William J. Gordon
- Harvard Medical School, Boston, Massachusetts
- Division of General Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Mass General Brigham Personalized Medicine, Boston, Massachusetts
| | - Charlotte Mailly
- Mass General Brigham Personalized Medicine, Boston, Massachusetts
| | - Taylor MacLean
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Samantha Subramaniam
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Michela Tucci
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Jennifer Crossen
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Department of Pharmacy Services, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Hunter Nichols
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Department of Pharmacy Services, Brigham and Women’s Hospital, Boston, Massachusetts
| | | | - David Zelle
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Marian McPartlin
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Lina S. Matta
- Department of Pharmacy Services, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Michael Oates
- Mass General Brigham Personalized Medicine, Boston, Massachusetts
| | - Samuel Aronson
- Mass General Brigham Personalized Medicine, Boston, Massachusetts
| | - Shawn Murphy
- Harvard Medical School, Boston, Massachusetts
- Laboratory of Computer Science, Massachusetts General Hospital, Boston
- Department of Neurology, Massachusetts General Hospital, Boston
- Research Information Science and Computing, Mass General Brigham, Boston, Massachusetts
| | - Adam Landman
- Harvard Medical School, Boston, Massachusetts
- Department of Emergency Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Naomi D. L. Fisher
- Harvard Medical School, Boston, Massachusetts
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Thomas A. Gaziano
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Jorge Plutzky
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Benjamin M. Scirica
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
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11
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Shah NP, Page C, Green CL, Gao M, Cavalier J, McGarrah RW, DeWald TA, Sangvai D, Patel MR, Pagidipati NJ. Bending the Cardiovascular Event Curve by Evaluating the Potential Impact of Achieving Low-Density Lipoprotein Cholesterol Goal Across a Large Health System Among Secondary Prevention Patients. Am J Cardiol 2023; 186:91-99. [PMID: 36371856 PMCID: PMC10725565 DOI: 10.1016/j.amjcard.2022.10.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 10/05/2022] [Accepted: 10/14/2022] [Indexed: 11/12/2022]
Abstract
Guidelines recommend aggressive low-density lipoprotein cholesterol (LDL-C) lowering in patients with atherosclerotic cardiovascular disease (ASCVD). However, the recommended threshold of LDL-C ≤70 mg/dL is often not achieved. We used data from the Duke University Health System electronic health record to characterize patterns of lipid levels and lipid management in patients with ASCVD to estimate the number of clinical events that could be prevented by achieving LDL-C ≤70 mg/dL . A multivariable logistic regression model was developed to predict the 1-year composite of all-cause mortality, myocardial infarction, stroke, or coronary revascularization and was validated through bootstrapping. The number needed to treat to prevent an event was then determined. Among 56,230 patients with ASCVD, the median (quartile 1, quartile 3) age was 68.6 years (59.9, 76.2), 47% were women, and 27% were non-Hispanic Black. LDL-C was >70 mg/dL in 39,566 of patients (70%); these patients were more frequently female (51% vs 36%), non-Hispanic Black (28% vs 23%), and less frequently on statin therapy (67% vs 91%) than those with LDL-C ≤70 mg/dL . A predictive model with reasonable discrimination (c-index 0.77, 95% confidence interval 0.760 to 0.77) and calibration (slope 0.99) determined that if the overall population achieved an LDL-C ≤70 mg/dL, 734 clinical events (455 myocardial infarctions, 186 strokes, and 93 coronary revascularizations) could be prevented in a year. Achieving LDL-C ≤70 mg/dL in patients with ASCVD across a health system could prevent significant clinical events within a single year. In conclusion, this study quantifies the potential benefit of a system-wide effort to achieve guideline-based LDL-C goals.
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Affiliation(s)
- Nishant P Shah
- Divisions of Cardiology, Duke University Hospital, Durham, North Carolina; Duke Clinical Research Institute, Durham, North Carolina.
| | - Courtney Page
- Duke Clinical Research Institute, Durham, North Carolina
| | - Cynthia L Green
- Duke Clinical Research Institute, Durham, North Carolina; Department of Biostatistics & Bioinformatics, Duke University School of Medicine, Durham, North Carolina
| | - Michael Gao
- Divisions of Cardiology, Duke University Hospital, Durham, North Carolina
| | - Joanna Cavalier
- Divisions of Cardiology, Duke University Hospital, Durham, North Carolina
| | - Robert W McGarrah
- Divisions of Cardiology, Duke University Hospital, Durham, North Carolina
| | - Tracy A DeWald
- Divisions of Cardiology, Duke University Hospital, Durham, North Carolina; Divisions of Clinical Pharmacology, Duke University Hospital, Durham, North Carolina
| | - Devdutta Sangvai
- Duke Population Health Management Office, Durham, North Carolina
| | - Manesh R Patel
- Divisions of Cardiology, Duke University Hospital, Durham, North Carolina; Duke Clinical Research Institute, Durham, North Carolina
| | - Neha J Pagidipati
- Divisions of Cardiology, Duke University Hospital, Durham, North Carolina; Duke Clinical Research Institute, Durham, North Carolina
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12
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Rey-Rañal EM, Cordero A. Most Recent Trials and Advances in Hypertension. Eur Cardiol 2022; 17:e24. [PMID: 36845214 PMCID: PMC9947933 DOI: 10.15420/ecr.2022.27] [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: 06/12/2022] [Accepted: 07/14/2022] [Indexed: 12/14/2022] Open
Abstract
Hypertension is one of the most prevalent cardiovascular risk factors and blood pressure control remains a clinical challenge, especially for patients with established cardiovascular disease. Late-breaking clinical trials and other evidence in hypertension have evolved to assess the most accurate ways to measure blood pressure, the use of combination therapies, considerations in special populations and evaluation of new techniques. Recent evidence supports the superiority of ambulatory or 24-hour blood pressure measurements, rather than office blood pressure measurements, for the assessment of cardiovascular risk. The use of fixed-dose combinations and polypills has been demonstrated to be valid and to provide clinical benefits beyond blood pressure control. There have also been advances in new approaches such as telemedicine, devices and the use of algorithms. Clinical trials have provided valuable data on blood pressure control in primary prevention, during pregnancy and in the elderly. The role of renal denervation remains unsolved but innovative techniques using ultrasound or alcohol injections are being explored. Current evidence and results of latest trials are summarised in this review.
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Affiliation(s)
| | - Alberto Cordero
- Cardiology Department, Hospital Universitario de San JuanAlicante, Spain,Unidad de Investigación de Cardiología, Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitad Valenciana (FISABIO)Valencia, Spain,Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV)Madrid, Spain
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13
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Nasir K, Salami JA. Therapeutic Inertia in Lipid-Lowering Treatment Intensification: Digital Tools and Performance Management to the Rescue? Circ Cardiovasc Qual Outcomes 2022; 15:e009399. [PMID: 36256462 DOI: 10.1161/circoutcomes.122.009399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- Khurram Nasir
- Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, TX (K.N.).,Center for Cardiovascular Computational and Precision Health (C3-PH), Houston Methodist, Houston, TX (K.N.)
| | - Joseph A Salami
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton (J.A.S.)
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14
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Piskorz D, Díaz-Barreiro LA, López Santi R, Múnera A, Molina DI, Barroso WS, Wyss F, Ponte Negretti C, Galván Oseguera H, Palomo S, Díaz-Díaz E, Rosas Peralta M, Chávez Mendoza A, Alvarez Lopez H, García Zamora S, Peñaherrera Patiño E, Guerra López A, Puente Barragan A. Blood pressure telemonitoring and telemedicine for hypertension management-positions, expectations and feasibility of Latin-American practitioners. SURVEY carried out by several cardiology and hypertension societies of the Americas. Blood Press 2022; 31:236-244. [PMID: 36123802 DOI: 10.1080/08037051.2022.2123781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
PURPOSE To assess the opinion of Latin-American physicians on remote blood pressure monitoring and telehealth for hypertension management. MATERIAL AND METHODS Cross-sectional survey of physicians residing in Latin-America. The study was conducted by the Mexico Hypertension Experts Group, Interamerican Society of Hypertension, Interamerican Society of Cardiology Epidemiology and Cardiovascular Prevention Council, and National Cardiologist Association of Mexico. An online survey composed of 40 questions using Google Forms was distributed from 7 December 2021, to 3 February 2022. The survey was approved by the GREHTA Ethics Committee and participation was voluntary and anonymous. Multiple logistic regression models were constructed to identify the challenges of telehealth. RESULTS 1753 physicians' responses were gathered. The responses came from physicians from different Latin-American countries, as follows: 24% from Mexico, 20.6% from Argentina, 14.7% from Colombia, 10.9% from Brazil, 8.7% from Venezuela, 8.2% from Guatemala and 3.2% from Paraguay. Responders with a high interest in carrying out their assistance task through remote telemonitoring reached 48.9% (821), while 43.6% are already currently conducting telemonitoring. A high number, 62%, claimed to need telemonitoring training. There is a direct relation between higher interest in telemonitoring and age, medical specialty, team working, residence in the biggest cities, expectations regarding telemedicine and reimbursement. CONCLUSIONS Remote monitoring is feasible in Latin-America. General practitioners and specialists from bigger cities seem eager and are self-perceived as well-trained and experienced. Facilities and resources do not seem to be a challenge but training reinforcement and telemedicine promotion is necessary for those physicians less motivated.PLAIN LANGUAGE SUMMARYWhat is the context?Hypertension is one of the leading worldwide modifiable risk factors for premature death. Strong evidence supports that effective treatment of this condition results in a significant reduction of hard outcomes.Only 20%-30% of hypertensive patients are within the blood pressure targets recommended by guidelines in Latin-America. There is an urgent need to implement innovative strategies to reverse this alarming health situation.What is new?Latin-American physicians were highly predisposed to telemonitoring practice. This high motivation was not influenced by hardware or software availability, technological knowledge or experience, by volume of monthly consultations, or by area (private-public) where the care activity is carried out.This high motivation may be supported by the conviction that this practice could be very useful as a complement to face-to-face assistance and a highly effective tool to improve adherence even though respondents considered that just 10% of the patients would prefer telemonitoring over office consultation.What is the impact?Facilities and resources do not seem to be a challenge but training reinforcement and telemedicine promotion is necessary for those physicians less motivated. The general perception is that it is necessary to move forward to resolve legal gaps and financial aspects.Physicians must adapt to changes and develop new communication strategies in a world where the unrestricted access to teleinformation makes patients self-perceived as experts.
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Affiliation(s)
| | | | | | | | | | | | - Fernando Wyss
- Services and Technology of Guatemala, Guatemala City, Guatemala
| | | | | | - Silvia Palomo
- Mexico Institute of Social Security, Mexico City, Mexico
| | | | | | - Adolfo Chávez Mendoza
- Cardiology Hospital, National Medical Center XXI Century, Mexico Institute of Social Security, Mexico City, Mexico
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15
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Nichols H, Cannon CP, Scirica BM, Fisher NDL. A remote hypertension management program clinical algorithm. Clin Cardiol 2022; 45:1147-1162. [PMID: 36153643 DOI: 10.1002/clc.23919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 08/04/2022] [Accepted: 08/28/2022] [Indexed: 12/15/2022] Open
Abstract
INTRODUCTION Hypertension is the leading risk factor for death, affecting over one billion people worldwide, yet control rates are poor and stagnant. We developed a remote hypertension management program that leverages digitally transmitted home blood pressure (BP) measurements, algorithmic care pathways, and patient-navigator communications to aid patients in achieving guideline-directed BP goals. METHODS Patients with uncontrolled hypertension are identified through provider referrals and electronic health record screening aided by population health managers within the Mass General Brigham (MGB) health system. Non-licensed patient navigators supervised by pharmacists, nurse practitioners, and physicians engage and educate patients. Patients receive cellular or Bluetooth-enabled BP devices with which they monitor and transmit scheduled home BP readings. Evidence-based medication changes are made according to a custom hypertension algorithm approved within a collaborative drug therapy management (CDTM) agreement with MGB and implemented by pharmacists. Using patient-specific characteristics, we developed different pathways to optimize medication regimens. The renin-angiotensin-aldosterone system-blocker pathway prescribed ARBs/ACE inhibitors first for patients with diabetes, impaired renal function, and microalbuminuria; the standard pathway started patients on calcium channel blockers. Regimens were escalated frequently, adding thiazide-type diuretics, and including beta blockers and mineralocorticoid receptor antagonists if needed. DISCUSSION We have developed an algorithmic approach for the remote management of hypertension with demonstrated success. A focus on algorithmic decision-making streamlines tasks and responsibilities, easing the potential for scalability of this model. As the backbone of our remote management program, this clinical algorithm can improve BP control and innovate the management of hypertension in large populations.
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Affiliation(s)
- Hunter Nichols
- Division of Cardiovascular Medicine, Boston, Massachusetts, USA
- Department of Pharmacy Services, Boston, Massachusetts, USA
- Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Christopher P Cannon
- Division of Cardiovascular Medicine, Boston, Massachusetts, USA
- Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Benjamin M Scirica
- Division of Cardiovascular Medicine, Boston, Massachusetts, USA
- Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Naomi D L Fisher
- Brigham and Women's Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Division of Endocrinology, Diabetes and Hypertension, Boston, Massachusetts, USA
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16
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Wagholikar KB, Ainsworth L, Zelle D, Chaney K, Mendis M, Klann J, Blood AJ, Miller A, Chulyadyo R, Oates M, Gordon WJ, Aronson SJ, Scirica BM, Murphy SN. I2b2-etl: Python application for importing electronic health data into the informatics for integrating biology and the bedside platform. Bioinformatics 2022; 38:4833-4836. [PMID: 36053173 PMCID: PMC9563689 DOI: 10.1093/bioinformatics/btac595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 07/15/2022] [Accepted: 08/31/2022] [Indexed: 11/14/2022] Open
Abstract
MOTIVATION The i2b2 platform is used at major academic health institutions and research consortia for querying for electronic health data. However, a major obstacle for wider utilization of the platform is the complexity of data loading that entails a steep curve of learning the platform's complex data schemas. To address this problem, we have developed the i2b2-etl package that simplifies the data loading process, which will facilitate wider deployment and utilization of the platform. RESULTS We have implemented i2b2-etl as a Python application that imports ontology and patient data using simplified input file schemas and provides inbuilt record number de-identification and data validation. We describe a real-world deployment of i2b2-etl for a population-management initiative at MassGeneral Brigham. AVAILABILITY AND IMPLEMENTATION i2b2-etl is a free, open-source application implemented in Python available under the Mozilla 2 license. The application can be downloaded as compiled docker images. A live demo is available at https://i2b2clinical.org/demo-i2b2etl/ (username: demo, password: Etl@2021). SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Kavishwar B Wagholikar
- Harvard Medical School, Boston, MA 02115, USA.,Massachusetts General Hospital, Boston, MA 02114, USA
| | | | - David Zelle
- Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Kira Chaney
- Brigham and Women's Hospital, Boston, MA 02115, USA
| | | | - Jeffery Klann
- Harvard Medical School, Boston, MA 02115, USA.,Massachusetts General Hospital, Boston, MA 02114, USA
| | - Alexander J Blood
- Harvard Medical School, Boston, MA 02115, USA.,Brigham and Women's Hospital, Boston, MA 02115, USA
| | | | | | | | - William J Gordon
- Harvard Medical School, Boston, MA 02115, USA.,Mass General Brigham, Boston, MA 02199, USA.,Brigham and Women's Hospital, Boston, MA 02115, USA
| | | | - Benjamin M Scirica
- Harvard Medical School, Boston, MA 02115, USA.,Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Shawn N Murphy
- Harvard Medical School, Boston, MA 02115, USA.,Massachusetts General Hospital, Boston, MA 02114, USA
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17
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Berman AN, Wasfy JH. Translating Clinical Guidelines Into Care Delivery Innovation: The Importance of Rigorous Methods for Generating Evidence. J Am Heart Assoc 2022; 11:e026677. [PMID: 35766287 PMCID: PMC9333392 DOI: 10.1161/jaha.122.026677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Adam N Berman
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital Harvard Medical School Boston MA
| | - Jason H Wasfy
- Cardiology Division, Department of Medicine, Massachusetts General Hospital Harvard Medical School Boston MA
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18
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Brook RD, Scirica BM, Levy PD. "The Doctor Is Out": New Tactics and Soldiers for Our Losing Battle Against Hypertension. Circulation 2022; 145:1629-1631. [PMID: 35639852 DOI: 10.1161/circulationaha.122.059674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Robert D Brook
- Division of Cardiovascular Diseases, Department of Internal Medicine (R.D.B.), Wayne State University, Detroit, MI
| | - Benjamin M Scirica
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (B.M.S.)
| | - Phillip D Levy
- Department of Emergency Medicine and Integrative Biosciences Center (P.D.L.), Wayne State University, Detroit, MI
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19
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Virani SS, Ballantyne CM, Petersen LA. Guideline-Concordant Statin Therapy Use in Secondary Prevention: Should the Medical Community Wait for Divine Intervention? J Am Coll Cardiol 2022; 79:1814-1817. [PMID: 35512861 DOI: 10.1016/j.jacc.2022.02.042] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 02/28/2022] [Indexed: 12/01/2022]
Affiliation(s)
- Salim S Virani
- Health Policy, Quality & Informatics Program, Michael E. DeBakey Veterans Affairs Medical Center Health Services Research and Development Center for Innovations, Houston, Texas, USA; Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA; Section of Cardiology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA; Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA; Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA.
| | - Christie M Ballantyne
- Section of Cardiovascular Research, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA; Center for Cardiovascular Disease Prevention, Methodist DeBakey Heart and Vascular Center, Houston, Texas, USA
| | - Laura A Petersen
- Health Policy, Quality & Informatics Program, Michael E. DeBakey Veterans Affairs Medical Center Health Services Research and Development Center for Innovations, Houston, Texas, USA; Section of Health Services Research, Department of Medicine, Baylor College of Medicine, Houston, Texas, USA
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20
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Nelson AJ, Haynes K, Shambhu S, Eapen Z, Cziraky MJ, Nanna MG, Calvert SB, Gallagher K, Pagidipati NJ, Granger CB. High-Intensity Statin Use Among Patients With Atherosclerosis in the U.S. J Am Coll Cardiol 2022; 79:1802-1813. [PMID: 35512860 PMCID: PMC9344279 DOI: 10.1016/j.jacc.2022.02.048] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 01/26/2022] [Accepted: 02/23/2022] [Indexed: 12/20/2022]
Abstract
BACKGROUND Preventive therapy among patients with established atherosclerotic cardiovascular disease (ASCVD) is generally underused. Whether new guideline recommendations and a focus on implementation have improved the use of high-intensity statins is unknown. OBJECTIVES This study sought to evaluate the patterns and predictors of statin use among patients with ASCVD. METHODS In this retrospective cohort study, pharmacy and medical claims data from a commercial health plan were queried for patients with established ASCVD between January 31, 2018, and January 31, 2019. Statin use on an index date of January 31, 2019, was evaluated, as was 12-month adherence and discontinuation. Multivariable logistic regression was used to determine independent associations with statin use of varying intensities. RESULTS Of the 601,934 patients with established ASCVD, 41.7% were female, and the mean age was 67.5 ± 13.3 years. Overall, 22.5% of the cohort were on a high-intensity statin, 27.6% were on a low- or moderate-intensity statin, and 49.9% were not on any statin. In multivariable analysis, younger patients, female patients, and those with higher Charlson comorbidity score were less likely to be prescribed any statin. Among statin users, female patients, older patients, and those with peripheral artery disease were less likely to be on a high-intensity formulation, whereas a cardiology encounter in the prior year increased the odds. The majority of high-intensity stain users achieved high levels of adherence. CONCLUSIONS Substantial underuse of statins persists in a large, insured, and contemporary cohort of patients with ASCVD from the United States. In particular, concerning gaps in appropriate statin use remain among younger patients, women, and those with noncoronary ASCVD.
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Affiliation(s)
- Adam J Nelson
- Duke Clinical Research Institute, Durham, North Carolina, USA
| | | | | | - Zubin Eapen
- Element Science, San Francisco, California, USA
| | | | - Michael G Nanna
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Sara B Calvert
- Duke Clinical Research Institute, Durham, North Carolina, USA; Clinical Trials Transformation Initiative, Durham, North Carolina, USA
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21
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Taha MB, Rao N, Vaduganathan M, Cainzos-Achirica M, Nasir K, Patel KV. Implementation of Cardiometabolic Centers and Training Programs. Curr Diab Rep 2022; 22:203-212. [PMID: 35316465 DOI: 10.1007/s11892-022-01459-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/25/2022] [Indexed: 11/24/2022]
Abstract
PURPOSE OF REVIEW Type 2 diabetes is frequently accompanied by obesity, nonalcoholic fatty liver disease, chronic kidney disease, and cardiovascular disease, which collectively contribute to the high burden of cardiometabolic disease. This review discusses cardiometabolic disease management, strategies to implement cardiometabolic centers to deliver care, and dedicated programs to train the next generation of cardiometabolic experts. RECENT FINDINGS Sodium-glucose cotransporter 2 inhibitors, glucagon-like peptide 1 receptor agonists, and a nonsteroidal mineralocorticoid receptor antagonist have demonstrated beneficial effects across cardiometabolic conditions. However, utilization of effective pharmacotherapies is low in clinical practice, in part due to clinical inertia and traditional sharp delineation in clinical responsibilities of specialists. Multidisciplinary clinics and population-health models can provide comprehensive care but require investment in physical and information technology infrastructure as well as in training and accreditation. Post-internal medicine residency cardiometabolic health training programs have been proposed. Implementing cardiometabolic centers in health systems involves reshaping current practices. Training programs focused on cardiometabolic health are needed to address the growing burden of disease and specific training needs in this ever-expanding area.
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Affiliation(s)
- Mohamad B Taha
- Division of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, 6550 Fannin St Suite 1801, Houston, TX, 77030, USA
| | - Neha Rao
- Department of Medicine, Houston Methodist Hospital, Houston, TX, USA
| | - Muthiah Vaduganathan
- Division of Cardiovascular Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Miguel Cainzos-Achirica
- Division of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, 6550 Fannin St Suite 1801, Houston, TX, 77030, USA
- Center for Outcomes Research, Houston Methodist, Houston, TX, USA
| | - Khurram Nasir
- Division of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, 6550 Fannin St Suite 1801, Houston, TX, 77030, USA
- Center for Outcomes Research, Houston Methodist, Houston, TX, USA
| | - Kershaw V Patel
- Division of Cardiovascular Prevention and Wellness, Department of Cardiology, Houston Methodist DeBakey Heart & Vascular Center, 6550 Fannin St Suite 1801, Houston, TX, 77030, USA.
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22
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Team-based strategies to prevent heart failure. Curr Opin Cardiol 2022; 37:294-301. [PMID: 35271509 DOI: 10.1097/hco.0000000000000959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
PURPOSE OF REVIEW The burden of heart failure (HF) in the United States and worldwide is projected to rise. Prevention of HF can curb the burden of this chronic syndrome, but current approaches are limited. This review discusses team-based strategies aimed to prevent HF. RECENT FINDINGS Individuals at high risk for developing HF can be identified using HF risk scores, biomarkers, and cardiac imaging. Electronic medical records (EMR) can integrate clinical data to estimate HF risk and identify individuals who may benefit most from preventive therapies. Team-based interventions can lead to enhanced adherence to medications, optimization of medical management, and control of risk factors. Multifaceted interventions involve EMR-based strategies, pharmacist- and nurse-led initiatives, involvement of community personnel, polypills, and digital solutions. SUMMARY Team-based strategies aimed to prevent HF incorporate a broad group of personnel and tools. Despite implementation challenges, existing resources can be efficiently utilized to facilitate team-based approaches to potentially reduce the burden of HF.
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23
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Wagholikar KB, Zelle D, Ainsworth L, Chaney K, Blood AJ, Miller A, Chulyadyo R, Oates M, Gordon WJ, Aronson SJ, Scirica BM, Murphy SN. Use of automatic SQL generation interface to enhance transparency and validity of health-data analysis. INFORMATICS IN MEDICINE UNLOCKED 2022; 31. [PMID: 35874460 PMCID: PMC9306316 DOI: 10.1016/j.imu.2022.100996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Analysis of health data typically requires development of queries using structured query language (SQL) by a data-analyst. As the SQL queries are manually created, they are prone to errors. In addition, accurate implementation of the queries depends on effective communication with clinical experts, that further makes the analysis error prone. As a potential resolution, we explore an alternative approach wherein a graphical interface that automatically generates the SQL queries is used to perform the analysis. The latter allows clinical experts to directly perform complex queries on the data, despite their unfamiliarity with SQL syntax. The interface provides an intuitive understanding of the query logic which makes the analysis transparent and comprehensible to the clinical study-staff, thereby enhancing the transparency and validity of the analysis. This study demonstrates the feasibility of using a user-friendly interface that automatically generate SQL for analysis of health data. It outlines challenges that will be useful for designing user-friendly tools to improve transparency and reproducibility of data analysis.
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24
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Plutzky J, Benson MD, Chaney K, Bui TV, Kraft M, Matta L, McPartlin M, Zelle D, Cannon CP, Dodek A, Gaziano TA, Desai AS, MacRae CA, Scirica BM. Population health management of low-density lipoprotein cholesterol via a remote, algorithmic, navigator-executed program. Am Heart J 2022; 243:15-27. [PMID: 34481756 DOI: 10.1016/j.ahj.2021.08.017] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 08/30/2021] [Indexed: 11/01/2022]
Abstract
BACKGROUND Implementation of guideline-directed cholesterol management remains low despite definitive evidence establishing such measures reduce cardiovascular (CV) events, especially in high atherosclerotic CV disease (ASCVD) risk patients. Modern electronic resources now exist that may help improve health care delivery. While electronic medical records (EMR) allow for population health screening, the potential for coupling EMR screening to remotely delivered algorithmic population-based management has been less studied as a way of overcoming barriers to optimal cholesterol management. METHODS In an academically affiliated healthcare system, using EMR screening, we sought to identify 1,000 high ASCVD risk patients not meeting guideline-directed low-density lipoprotein-cholesterol (LDL-C) goals within specific system-affiliated primary care practices. Contacted patients received cholesterol education and were offered a remote, guideline-directed, algorithmic cholesterol management program executed by trained but non-licensed "navigators" under professional supervision. Navigators used telephone, proprietary software and internet resources to facilitate algorithm-driven, guideline-based medication initiation/titration, and laboratory testing until patients achieved LDL-C goals or exited the program. As a clinical effectiveness program for cholesterol guideline implementation, comparison was made to those contacted patients who declined program-based medication management, and received education only, along with their usual care. RESULTS 1021 patients falling into guideline-defined high ASCVD risk groups warranting statin therapy (ASCVD, type 2 diabetes, LDL ≥ 190 mg/dL, calculated 10-year ASCVD risk ≥7.5%) and not achieving guideline-defined target LDL-C levels and/or therapy were identified and contacted. Among the 698 such patients who opted for program medication management, significant LDL-C reductions occurred in the total cohort (mean -65.4 mg/dL, 45% decrease), and each high ASCVD risk subgroup: ASCVD (-57.2 mg/dL, -48.0%); diabetes mellitus (-53.1 mg/dL, -40.0%); severe hypercholesterolemia (-76.3 mg/dL, -45.7%); elevated ASCVD 10-year risk (-62.8 mg/dL, -41.1%) (P<0.001 for all), without any significant complications. Among 20% of participants with reported statin intolerance, average LDL-C decreased from baseline 143 mg/dL to 85 mg/dL using mainly statins and ezetimibe, with limited PCSK9 inhibitor use. In comparison, eligible high ASCVD risk patients who were contacted but opted for education only, a 17% LDL-C decrease occurred over a similar timeframe, with 80% remaining with an LDL-C over 100 mg/dL. CONCLUSIONS A remote, algorithm-driven, navigator-executed cholesterol management program successfully identified high ASCVD risk undertreated patients using EMR screening and was associated with significantly improved guideline-directed LDL-C control, supporting this approach as a novel strategy for improving health care access and delivery.
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25
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26
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27
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Wang MC, Dolan B, Freed BH, Vega L, Markoski N, Wainright AE, Kane B, Seegmiller LE, Harrington K, Lewis AA, Shah SJ, Yancy CW, Neeland IJ, Ning H, Lloyd-Jones DM, Khan SS. Rationale and Design of a Pharmacist-led Intervention for the Risk-Based Prevention of Heart Failure: The FIT-HF Pilot Study. Front Cardiovasc Med 2021; 8:785109. [PMID: 34912869 PMCID: PMC8667267 DOI: 10.3389/fcvm.2021.785109] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 11/08/2021] [Indexed: 12/23/2022] Open
Abstract
Background: Given rising morbidity, mortality, and costs due to heart failure (HF), new approaches for prevention are needed. A quantitative risk-based strategy, in line with established guidelines for atherosclerotic cardiovascular disease prevention, may efficiently select patients most likely to benefit from intensification of preventive care, but a risk-based strategy has not yet been applied to HF prevention. Methods and Results: The Feasibility of the Implementation of Tools for Heart Failure Risk Prediction (FIT-HF) pilot study will enroll 100 participants free of cardiovascular disease who receive primary care at a single integrated health system and have a 10-year predicted risk of HF of ≥5% based on the previously validated Pooled Cohort equations to Prevent Heart Failure. All participants will complete a health and lifestyle questionnaire and undergo cardiac biomarker (B-type natriuretic peptide [BNP] and high-sensitivity cardiac troponin I [hs-cTn]) and echocardiography screening at baseline and 1-year follow-up. Participants will be randomized 1:1 to either a pharmacist-led intervention or usual care for 1 year. Participants in the intervention arm will undergo consultation with a pharmacist operating under a collaborative practice agreement with a supervising cardiologist. The pharmacist will perform lifestyle counseling and recommend initiation or intensification of therapies to optimize risk factor (hypertension, diabetes, and cholesterol) management according to the most recent clinical practice guidelines. The primary outcome is change in BNP at 1-year, and secondary and exploratory outcomes include changes in hs-cTn, risk factor levels, and cardiac mechanics at follow-up. Feasibility will be examined by monitoring retention rates. Conclusions: The FIT-HF pilot study will offer insight into the feasibility of a strategy of quantitative risk-based enrollment into a pharmacist-led prevention program to reduce heart failure risk. Clinical Trial Registration: https://clinicaltrials.gov/ct2/show/NCT04684264.
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Affiliation(s)
- Michael C Wang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Bridget Dolan
- Department of Pharmacy, Northwestern Memorial Hospital, Chicago, IL, United States
| | - Benjamin H Freed
- Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Lourdes Vega
- Department of Pharmacy, Northwestern Memorial Hospital, Chicago, IL, United States
| | - Nikola Markoski
- Department of Pharmacy, Northwestern Memorial Hospital, Chicago, IL, United States
| | - Amy E Wainright
- Department of Pharmacy, Northwestern Memorial Hospital, Chicago, IL, United States
| | - Bonnie Kane
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Laura E Seegmiller
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Katharine Harrington
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Alana A Lewis
- Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Sanjiv J Shah
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.,Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Clyde W Yancy
- Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Ian J Neeland
- Department of Medicine, University Hospitals Cleveland Medical Center, Cleveland, OH, United States.,Case Western Reserve University School of Medicine, Cleveland, OH, United States
| | - Hongyan Ning
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.,Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Sadiya S Khan
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.,Division of Cardiology, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
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28
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Gaps and Disparities in Primary Prevention Statin Prescription During Outpatient Care. Am J Cardiol 2021; 161:36-41. [PMID: 34794616 DOI: 10.1016/j.amjcard.2021.08.070] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 08/29/2021] [Accepted: 08/31/2021] [Indexed: 12/13/2022]
Abstract
The 2018 American College of Cardiology/American Heart Association Guideline on the Management of Blood Cholesterol recommends statin therapy for eligible patients to reduce the risk of atherosclerotic cardiovascular disease (ASCVD). We extracted electronic health record data for patients with at least one primary care or cardiology visit between October 2018 and January 2020 at an urban, academic medical center in New York City. Clinical and demographic data were used to identify patients eligible for primary prevention statin therapy. Statin prescription status was extracted from the electronic health record, and multivariate logistic regression was used to assess the association between statin prescription and age, gender, race, ethnicity, and other clinical and demographic covariables. In 7,550 patients eligible for primary prevention statin therapy, 3,994 (52.9%) were prescribed statins on at least 1 visit. Statin prescription was highest in patients with diabetes mellitus (73.6%) and with a 10-year ASCVD risk ≥20% (60.6%) and was lowest for those with a 10-year ASCVD risk between 5% and 7.5% (18.7%). Compared with those never prescribed statins, patients prescribed statins were less likely to be women, mainly driven by lower statin prescription rates for women with diabetes. In a fully adjusted model, women remained less likely to be prescribed statin therapy (adjusted odds ratios 0.79, 95% confidence interval 0.71 to 0.88). In conclusion, primary prevention statin therapy remains underutilized.
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29
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Duffy E, Chilazi M, Cainzos-Achirica M, Michos ED. Cardiovascular Disease Prevention During the COVID-19 Pandemic: Lessons Learned and Future Opportunities. Methodist Debakey Cardiovasc J 2021; 17:68-78. [PMID: 34824683 PMCID: PMC8588760 DOI: 10.14797/mdcvj.210] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2021] [Accepted: 06/12/2021] [Indexed: 01/04/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has been the defining healthcare issue since its outbreak, consuming healthcare systems and disrupting all aspects of human life throughout 2020 and continuing through 2021. When reviewing cardiovascular disease (CVD) prevention throughout the COVID-19 pandemic, the first tendency may be to focus on the negative disruption. Months of quarantine, isolation, and missed healthcare visits or delayed care may have exacerbated the epidemic of CVD in the United States. Looking back, however, perhaps it wasn't a lost year as much as a health crisis that better prepared us for the battle to improve cardiovascular health. The pandemic brought new platforms for interacting with patients eager to engage, presenting a unique opportunity to reset how we approach preventive care. In this review, we discuss what the pandemic has taught us about caring for those vulnerable patients who were most afflicted-older adults, persons of color, and people facing adverse socioeconomic circumstances-and who continue to be impacted by CVD. We also identify opportunities for enhanced CVD prevention now boosted by the overnight adoption of telemedicine and other innovative cardiac care models. Lastly, we discuss how the COVID-19 pandemic has motivated physicians and patients alike to prioritize our health above all else, if only transiently, and how we can leverage this increased health awareness and investment into long-term, meaningful disease prevention.
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Affiliation(s)
- Eamon Duffy
- Johns Hopkins University School of Medicine, Baltimore, Maryland, US
| | - Michael Chilazi
- Johns Hopkins University School of Medicine, Baltimore, Maryland, US
| | - Miguel Cainzos-Achirica
- Houston Methodist DeBakey Heart & Vascular Center, Houston Methodist Hospital, Houston, Texas, US.,Center for Outcomes Research, Houston Methodist, Houston, Texas, US
| | - Erin D Michos
- Johns Hopkins University School of Medicine, Baltimore, Maryland, US.,Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins University, Baltimore, Maryland, US
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30
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Gordon WJ, Blood AJ, Chaney K, Clark E, Glynn C, Green R, Laurent JS, Mailly C, McPartlin M, Murphy S, Nichols H, Oates M, Subramaniam S, Varugheese M, Wagholikar K, Aronson S, Scirica BM. Workflow Automation for a Virtual Hypertension Management Program. Appl Clin Inform 2021; 12:1041-1048. [PMID: 34758494 PMCID: PMC8580734 DOI: 10.1055/s-0041-1739195] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Objectives
Hypertension is a modifiable risk factor for numerous comorbidities and treating hypertension can greatly improve health outcomes. We sought to increase the efficiency of a virtual hypertension management program through workflow automation processes.
Methods
We developed a customer relationship management (CRM) solution at our institution for the purpose of improving processes and workflow for a virtual hypertension management program and describe here the development, implementation, and initial experience of this CRM system.
Results
Notable system features include task automation, patient data capture, multi-channel communication, integration with our electronic health record (EHR), and device integration (for blood pressure cuffs). In the five stages of our program (intake and eligibility screening, enrollment, device configuration/setup, medication titration, and maintenance), we describe some of the key process improvements and workflow automations that are enabled using our CRM platform, like automatic reminders to capture blood pressure data and present these data to our clinical team when ready for clinical decision making. We also describe key limitations of CRM, like balancing out-of-the-box functionality with development flexibility. Among our first group of referred patients, 76% (39/51) preferred email as their communication method, 26/51 (51%) were able to enroll electronically, and 63% of those enrolled (32/51) were able to transmit blood pressure data without phone support.
Conclusion
A CRM platform could improve clinical processes through multiple pathways, including workflow automation, multi-channel communication, and device integration. Future work will examine the operational improvements of this health information technology solution as well as assess clinical outcomes.
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Affiliation(s)
- William J Gordon
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States.,Harvard Medical School, Boston, Massachusetts, United States.,Mass General Brigham, Boston, Massachusetts, United States
| | - Alexander J Blood
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States
| | - Kira Chaney
- Mass General Brigham, Boston, Massachusetts, United States
| | - Eugene Clark
- Mass General Brigham, Boston, Massachusetts, United States
| | - Corey Glynn
- Mass General Brigham, Boston, Massachusetts, United States
| | - Remlee Green
- Mass General Brigham, Boston, Massachusetts, United States
| | | | | | | | - Shawn Murphy
- Harvard Medical School, Boston, Massachusetts, United States.,Mass General Brigham, Boston, Massachusetts, United States.,Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States
| | - Hunter Nichols
- Mass General Brigham, Boston, Massachusetts, United States
| | - Michael Oates
- Mass General Brigham, Boston, Massachusetts, United States
| | | | | | - Kavishwar Wagholikar
- Harvard Medical School, Boston, Massachusetts, United States.,Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States
| | - Samuel Aronson
- Mass General Brigham, Boston, Massachusetts, United States
| | - Benjamin M Scirica
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States.,Harvard Medical School, Boston, Massachusetts, United States.,Mass General Brigham, Boston, Massachusetts, United States
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31
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Li J, Tummalapalli SL, Mendu ML. Advancing American Kidney Health and the Role of Sodium-Glucose Cotransporter-2 Inhibitors: A Missed Opportunity. Clin J Am Soc Nephrol 2021; 16:1584-1586. [PMID: 34135024 PMCID: PMC8499015 DOI: 10.2215/cjn.05450421] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Affiliation(s)
- Jiahua Li
- Division of Renal Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Sri Lekha Tummalapalli
- Division of Healthcare Delivery Science and Innovation, Department of Population Health Sciences, Weill Cornell Medicine, New York, New York
| | - Mallika L. Mendu
- Division of Renal Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts,Center for Population Health, Mass General Brigham, Boston, Massachusetts
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32
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Dixon DL, Baker WL, Buckley LF, Salgado TM, Van Tassell BW, Carter BL. Effect of a Physician/Pharmacist Collaborative Care Model on Time in Target Range for Systolic Blood Pressure: Post Hoc Analysis of the CAPTION Trial. Hypertension 2021; 78:966-972. [PMID: 34397278 PMCID: PMC8415522 DOI: 10.1161/hypertensionaha.121.17873] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Supplemental Digital Content is available in the text. Longer time in target range (TTR) for systolic blood pressure (SBP) is associated with a lower risk of cardiovascular events. Team-based care improves SBP control but its effect on the consistency of SBP control over time is unknown. This post hoc analysis used data from a cluster-randomized trial of a physician/pharmacist collaborative model that randomized medical offices to either a 9- or 24-month pharmacist intervention or control group. TTR for SBP was calculated using linear interpolation and an SBP range of 110 to 130 mm Hg. TTR is reported as median values and group comparisons assessed using the Kruskal-Wallis test. Of the 625 participants enrolled, 524 had 9-month and 366 had 24-month SBP data. Participants were a median 59 years old, 59% female, and 52% minority. After 24 months, the median TTR for SBP was 31.9% and 29.8% for the 9- and 24-month intervention groups, respectively, compared with 19% in the control group (P=0.0068). This observation persisted in the subgroup of participants with diabetes or chronic kidney disease and minorities. A longer TTR was not associated with an increased risk of adverse drug events. Time to first observed SBP in the target range was shorter in the intervention group compared with control (270 versus 365 days; P=0.0047). A physician/pharmacist collaborative care model achieved longer TTR for SBP compared with control (usual care).
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Affiliation(s)
- Dave L Dixon
- Center for Pharmacy Practice Innovation (D.L.D., T.M.S.), Virginia Commonwealth University School of Pharmacy, Richmond, VA.,Department of Pharmacotherapy and Outcomes Science (D.L.D., T.M.S., B.W.V.T.), Virginia Commonwealth University School of Pharmacy, Richmond, VA
| | - William L Baker
- Department of Pharmacy Practice, University of Connecticut School of Pharmacy, Storrs, CT (W.L.B.)
| | - Leo F Buckley
- Department of Pharmacy, Brigham and Women's Hospital, Boston, MA (L.F.B.)
| | - Teresa M Salgado
- Center for Pharmacy Practice Innovation (D.L.D., T.M.S.), Virginia Commonwealth University School of Pharmacy, Richmond, VA.,Department of Pharmacotherapy and Outcomes Science (D.L.D., T.M.S., B.W.V.T.), Virginia Commonwealth University School of Pharmacy, Richmond, VA
| | - Benjamin W Van Tassell
- Department of Pharmacotherapy and Outcomes Science (D.L.D., T.M.S., B.W.V.T.), Virginia Commonwealth University School of Pharmacy, Richmond, VA
| | - Barry L Carter
- Department of Pharmacy Practice and Science, College of Pharmacy, University of Iowa, Iowa City, IA (B.L.C.)
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33
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Kandzari DE, Townsend RR, Bakris G, Basile J, Bloch MJ, Cohen DL, East C, Ferdinand KC, Fisher N, Kirtane A, Lee DP, Puckrein G, Rader F, Vassalotti JA, Weber MA, Willis K, Secemsky E. Renal denervation in hypertension patients: Proceedings from an expert consensus roundtable cosponsored by SCAI and NKF. Catheter Cardiovasc Interv 2021; 98:416-426. [PMID: 34343406 DOI: 10.1002/ccd.29884] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Accepted: 07/15/2021] [Indexed: 12/19/2022]
Affiliation(s)
- David E Kandzari
- Interventional Cardiology, Piedmont Heart Institute, Atlanta, Georgia, USA
| | - Raymond R Townsend
- Hypertension, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - George Bakris
- Hypertension, University of Chicago Medicine, Chicago, Illinois, USA
| | - Jan Basile
- Cardiology, Medical University of South Carolina and Ralph H. Johnson VA Medical Center to Medical University of South Carolina, Charleston, South Carolina, USA
| | - Michael J Bloch
- Vascular Care, Renown Institute for Heart and Vascular Health, University of Nevada, Reno School of Medicine, Reno, Nevada, USA
| | - Debbie L Cohen
- Hypertension, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Cara East
- Cardiology, Baylor Heart & Vascular Hospital, Dallas, Texas, USA.,Vascular Intervention, Soltero CV Research Center, Texas A&M College of Medicine
| | - Keith C Ferdinand
- Preventive Cardiology, Tulane University School of Medicine, New Orleans, Louisiana, USA
| | - Naomi Fisher
- Hypertension, Harvard Medical School and Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Ajay Kirtane
- Interventional Vascular Therapy, Columbia University Irving Medical Center, New York, New York, USA
| | - David P Lee
- Interventional Cardiology, Stanford University, Stanford, California, USA
| | - Gary Puckrein
- The National Minority Quality Forum, Washington, District of Columbia, USA
| | - Florian Rader
- Hypertension Center, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Joseph A Vassalotti
- Clinical Professor, Icahn School of Medicine at Mount Sinai, National Kidney Foundation, New York, New York, USA
| | - Michael A Weber
- Cardiovascular Medicine, SUNY Downstate Medical Center, New York, New York, USA
| | - Kerry Willis
- National Kidney Foundation, New York, New York, USA
| | - Eric Secemsky
- Vascular Intervention, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
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34
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Ye S, Anstey DE, Grauer A, Metser G, Moise N, Schwartz J, Kronish I, Abdalla M. The Impact of Telemedicine Visits on Controlling High Blood Pressure Quality Measure During the Covid-19 Pandemic: Observational Study (Preprint). JMIR Form Res 2021; 6:e32403. [PMID: 35138254 PMCID: PMC8945081 DOI: 10.2196/32403] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 11/21/2021] [Accepted: 02/08/2022] [Indexed: 12/29/2022] Open
Affiliation(s)
- Siqin Ye
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States
- Center for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, United States
| | - D Edmund Anstey
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States
| | - Anne Grauer
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States
| | - Gil Metser
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States
| | - Nathalie Moise
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States
- Center for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, United States
| | - Joseph Schwartz
- Center for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, United States
- Department of Psychiatry and Behavioral Sciences, Stony Brook University, Stony Brook, NY, United States
| | - Ian Kronish
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States
- Center for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, United States
| | - Marwah Abdalla
- Department of Medicine, Columbia University Irving Medical Center, New York, NY, United States
- Center for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, United States
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35
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Kernan WN, Viera AJ, Billinger SA, Bravata DM, Stark SL, Kasner SE, Kuritzky L, Towfighi A. Primary Care of Adult Patients After Stroke: A Scientific Statement From the American Heart Association/American Stroke Association. Stroke 2021; 52:e558-e571. [PMID: 34261351 DOI: 10.1161/str.0000000000000382] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Primary care teams provide the majority of poststroke care. When optimally configured, these teams provide patient-centered care to prevent recurrent stroke, maximize function, prevent late complications, and optimize quality of life. Patient-centered primary care after stroke begins with establishing the foundation for poststroke management while engaging caregivers and family members in support of the patient. Screening for complications (eg, depression, cognitive impairment, and fall risk) and unmet needs is both a short-term and long-term component of poststroke care. Patients with ongoing functional impairments may benefit from referral to appropriate services. Ongoing care consists of managing risk factors such as high blood pressure, atrial fibrillation, diabetes, carotid stenosis, and dyslipidemia. Recommendations to reduce risk of recurrent stroke also include lifestyle modifications such as healthy diet and exercise. At the system level, primary care practices can use quality improvement strategies and available resources to enhance the delivery of evidence-based care and optimize outcomes.
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36
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Desai AS. An Excellent Model to Increase Adherence to Guideline-Directed Medical Therapy-With Far-reaching Implications-Reply. JAMA Cardiol 2021; 6:726-727. [PMID: 33787827 DOI: 10.1001/jamacardio.2021.0327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Affiliation(s)
- Akshay S Desai
- Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts
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37
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Feldman RD, Padwal RS, Tobe SW. The Rise and Fall of Hypertension Control in Canada: The Beginning of the End or the End of the Beginning? Can J Cardiol 2021; 37:679-682. [PMID: 33607230 DOI: 10.1016/j.cjca.2021.02.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 02/07/2021] [Accepted: 02/08/2021] [Indexed: 10/22/2022] Open
Affiliation(s)
- Ross D Feldman
- Cardiac Sciences, St Boniface Hospital, Winnipeg, Manitoba, Canada; University of Manitoba, Winnipeg, Manitoba, Canada.
| | - Raj S Padwal
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada
| | - Sheldon W Tobe
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada; Northern Ontario School of Medicine, Sudbury, Ontario, Canada
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