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Muntner P, Einhorn PT, Cushman WC, Whelton PK, Bello NA, Drawz PE, Green BB, Jones DW, Juraschek SP, Margolis KL, Miller ER, Navar AM, Ostchega Y, Rakotz MK, Rosner B, Schwartz JE, Shimbo D, Stergiou GS, Townsend RR, Williamson JD, Wright JT, Appel LJ. Blood Pressure Assessment in Adults in Clinical Practice and Clinic-Based Research: JACC Scientific Expert Panel. J Am Coll Cardiol 2019; 73:317-335. [PMID: 30678763 PMCID: PMC6573014 DOI: 10.1016/j.jacc.2018.10.069] [Citation(s) in RCA: 120] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2018] [Revised: 10/14/2018] [Accepted: 10/15/2018] [Indexed: 11/21/2022]
Abstract
The accurate measurement of blood pressure (BP) is essential for the diagnosis and management of hypertension. Restricted use of mercury devices, increased use of oscillometric devices, discrepancies between clinic and out-of-clinic BP, and concerns about measurement error with manual BP measurement techniques have resulted in uncertainty for clinicians and researchers. The National Heart, Lung, and Blood Institute of the U.S. National Institutes of Health convened a working group of clinicians and researchers in October 2017 to review data on BP assessment among adults in clinical practice and clinic-based research. In this report, the authors review the topics discussed during a 2-day meeting including the current state of knowledge on BP assessment in clinical practice and clinic-based research, knowledge gaps pertaining to current BP assessment methods, research and clinical needs to improve BP assessment, and the strengths and limitations of using BP obtained in clinical practice for research and quality improvement activities.
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Affiliation(s)
- Paul Muntner
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama.
| | - Paula T Einhorn
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute of the National Institutes of Health, Bethesda, Maryland
| | - William C Cushman
- Preventive Medicine Section, Medical Service, Veterans Affairs Medical Center, Memphis, Tennessee
| | - Paul K Whelton
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | - Natalie A Bello
- Department of Medicine, Division of Cardiology, Columbia University Medical Center, New York, New York
| | - Paul E Drawz
- Division of Renal Diseases & Hypertension, University of Minnesota, Minneapolis, Minnesota
| | - Beverly B Green
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington
| | - Daniel W Jones
- Department of Medicine, University of Mississippi Medical Center, Jackson, Mississippi
| | - Stephen P Juraschek
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | | | - Edgar R Miller
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | | | - Yechiam Ostchega
- National Center for Health Statistics of the Centers for Disease Control and Prevention, Hyattsville, Maryland
| | | | - Bernard Rosner
- Department of Medicine, Brigham's and Women's Hospital, Harvard University, Boston, Massachusetts
| | - Joseph E Schwartz
- Department of Psychiatry and Behavioral Sciences, Stony Brook University, Stony Brook, New York
| | - Daichi Shimbo
- The Hypertension Center, Columbia University Medical Center, New York, New York
| | - George S Stergiou
- Hypertension Center STRIDE-7, National and Kapodistrian University of Athens, School of Medicine, Third Department of Medicine, Sotiria Hospital, Athens, Greece
| | - Raymond R Townsend
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Jeff D Williamson
- Department of Medicine, Wake Forest University, Winston-Salem, North Carolina
| | - Jackson T Wright
- Department of Medicine, Case Western Reserve University, Cleveland, Ohio
| | - Lawrence J Appel
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland
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Clinical Implementation of Self-Measured Blood Pressure Monitoring, 2015-2016. Am J Prev Med 2019; 56:e13-e21. [PMID: 30337237 PMCID: PMC6485411 DOI: 10.1016/j.amepre.2018.06.017] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2018] [Revised: 03/10/2018] [Accepted: 06/04/2018] [Indexed: 12/21/2022]
Abstract
INTRODUCTION Self-measured blood pressure monitoring (SMBP) plus additional clinical support is an evidence-based strategy that improves blood pressure control. Despite national recommendations for SMBP use and potential cost savings, insurance coverage for implementation is limited in the U.S. and little is known regarding clinical implementation. METHODS In 2017, using 2015 and 2016 DocStyles survey data from 1,590 primary care physicians and nurse practitioners in U.S. outpatient facilities, SMBP-related clinical practices and provider roles were assessed. RESULTS Almost all (97%) respondents reported using SMBP. Among 1,539 who used SMBP, more than half (60%) used SMBP for a combination of diagnostic and treatment purposes, whereas 24% used SMBP for diagnosis only and 16% used SMBP for treatment only. The most common methods for patients to share SMBP results with clinical staff were paper log (68%); during appointments (66%); by telephone (37%); by secure website (22%); or by secure e-mail (19%). Nearly all (98%) respondents reported that medication adjustments were provided to patients based on SMBP readings. About 15% did not counsel patients regarding cuff size, and 8% did not validate patient devices. Only 13% of respondents reported having monitor loaner programs, and availability did not vary by the financial status of the patient population (p=0.59). CONCLUSIONS SMBP is used widely in outpatient facilities as reported in the survey, although provider roles and SMBP-related practices vary, and gaps exist regarding patient counseling, device validation, and loaner program availability. As part of efforts to improve hypertension control, healthcare professionals can promote increased use of best practices for SMBP, whereas insurers can implement standardization and support of SMBP.
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203
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Ringrose J, Padwal R. How to ensure personalized accuracy in home blood pressure devices: Should we play it by ear? J Clin Hypertens (Greenwich) 2018; 21:181-183. [PMID: 30570205 DOI: 10.1111/jch.13465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Jennifer Ringrose
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.,WICHRI, Edmonton, Alberta, Canada
| | - Raj Padwal
- Department of Medicine, University of Alberta, Edmonton, Alberta, Canada.,Mazankowski Heart Institute, Edmonton, Alberta, Canada
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204
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Tang O, Juraschek SP, Appel LJ, Cooper LA, Charleston J, Boonyasai RT, Carson KA, Yeh H, Miller ER. Comparison of automated clinical and research blood pressure measurements: Implications for clinical practice and trial design. J Clin Hypertens (Greenwich) 2018; 20:1676-1682. [PMID: 30403006 PMCID: PMC6289771 DOI: 10.1111/jch.13412] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Revised: 08/13/2018] [Accepted: 09/07/2018] [Indexed: 11/30/2022]
Abstract
Discrepancies between clinic and research blood pressure (BP) measurements lead to uncertainties in translating hypertension management guidelines into practice. We assessed the concordance between standardized automated clinic BP, from a primary care clinic, and research BP, from a randomized trial conducted at the same site. Mean single-visit clinic BP was higher by 4.4/3.8 mm Hg (P = 0.007/<0.001). Concordance in systolic BP (SBP) improved with closer proximity of measurements (difference = 2.5 mm Hg, P = 0.21 for visits within 7 days), but not averaging across multiple visits (difference =5.1(9.2) mm Hg; P < 0.001). This discrepancy was greater among female participants. Clinic-based difference in SBP between two visits was more variable than research-based change (SD = 19.6 vs 14.0; P = 0.002); a 2-arm trial using clinic measurements would need 95% more participants to achieve comparable power. Implementation of a bundled standardization intervention decreased discrepancies between clinic and research BP, compared to prior reports. However, clinic measurements remained higher and more variable, suggesting treatment to research-based targets may lead to overtreatment and using clinic BP approximately halves power in trials.
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Affiliation(s)
- Olive Tang
- The Johns Hopkins School of MedicineBaltimoreMaryland
- The Johns Hopkins Bloomberg School of Public HealthBaltimoreMaryland
| | - Stephen P. Juraschek
- Beth Israel Deaconess Medical CenterBostonMassachusetts
- Harvard Medical SchoolBostonMassachusetts
| | - Lawrence J. Appel
- The Johns Hopkins School of MedicineBaltimoreMaryland
- The Johns Hopkins Bloomberg School of Public HealthBaltimoreMaryland
- The Welch Center for Prevention, Epidemiology and Clinical ResearchJohns Hopkins UniversityBaltimoreMaryland
| | - Lisa A. Cooper
- The Johns Hopkins School of MedicineBaltimoreMaryland
- The Johns Hopkins Bloomberg School of Public HealthBaltimoreMaryland
- The Welch Center for Prevention, Epidemiology and Clinical ResearchJohns Hopkins UniversityBaltimoreMaryland
| | - Jeanne Charleston
- The Johns Hopkins Bloomberg School of Public HealthBaltimoreMaryland
| | | | - Kathryn A. Carson
- The Johns Hopkins Bloomberg School of Public HealthBaltimoreMaryland
- The Welch Center for Prevention, Epidemiology and Clinical ResearchJohns Hopkins UniversityBaltimoreMaryland
| | - Hsin‐Chieh Yeh
- The Johns Hopkins School of MedicineBaltimoreMaryland
- The Johns Hopkins Bloomberg School of Public HealthBaltimoreMaryland
- The Welch Center for Prevention, Epidemiology and Clinical ResearchJohns Hopkins UniversityBaltimoreMaryland
| | - Edgar R. Miller
- The Johns Hopkins School of MedicineBaltimoreMaryland
- The Johns Hopkins Bloomberg School of Public HealthBaltimoreMaryland
- The Welch Center for Prevention, Epidemiology and Clinical ResearchJohns Hopkins UniversityBaltimoreMaryland
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205
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Fink JT, Magnan EM, Johnson HM, Bednarz LM, Allen GO, Greenlee RT, Bolt DM, Smith MA. Blood Pressure Control and Other Quality of Care Metrics for Patients with Obesity and Diabetes: A Population-Based Cohort Study. High Blood Press Cardiovasc Prev 2018; 25:391-399. [PMID: 30328045 PMCID: PMC6400223 DOI: 10.1007/s40292-018-0284-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Accepted: 10/03/2018] [Indexed: 10/28/2022] Open
Abstract
INTRODUCTION There are no population-level estimates in the United States for achievement of blood pressure goals in patients with diabetes and hypertension by obesity weight class. AIM We sought to examine the relationship between the extent of obesity and the achievement of guideline-recommended blood pressure goals and other quality of care metrics among patients with diabetes. METHODS We conducted an observational population-based cohort study of electronic health data of three large health systems from 2010-2012 in rural, urban and suburban settings of 51,229 adults with diabetes. Outcomes were achievement of diabetes quality of care metrics: blood pressure, A1c, and LDL control, and A1c and LDL testing. Two blood pressure goals were examined given the recommendation for adults with diabetes of 130/80 mmHg from JNC7 and the recommendation of 140/90 mmHg from JNC8 in 2014. RESULTS Patients in obesity classes I, II, and III with diagnosed hypertension were less likely to achieve blood pressure control at both the 140/90 mmHg and 130/80 mmHg control levels. The patients from obesity class III had the lowest likelihood of achieving control at the 130/80 mmHg goal, and control was markedly worse for the 130/80 mmHg threshold in all weight classes. There were minimal to no differences by weight class in LDL and A1c control and LDL and A1c testing. CONCLUSIONS Although the cardiovascular risk for patients with obesity and diabetes is greater than for non-obese patients with diabetes, we found that patients with obesity are even further behind in achieving blood pressure control.
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Affiliation(s)
- Jennifer T Fink
- Department of Health Informatics and Administration, College of Health Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, USA
- Aurora Research Institute, Aurora Health Care, Milwaukee, WI, USA
| | - Elizabeth M Magnan
- Department of Family and Community Medicine, University of California, Davis, Sacramento, CA, USA
| | - Heather M Johnson
- Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Lauren M Bednarz
- Health Innovation Program, University of Wisconsin School of Medicine and Public Health, 800 University Bay Dr., Suite 210-31, Madison, WI, 53705, USA
- Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Glenn O Allen
- Department of Urology, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA
| | - Robert T Greenlee
- Center for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute, Marshfield, WI, USA
| | - Daniel M Bolt
- Department of Educational Psychology, University of Wisconsin School of Education, Madison, WI, USA
| | - Maureen A Smith
- Health Innovation Program, University of Wisconsin School of Medicine and Public Health, 800 University Bay Dr., Suite 210-31, Madison, WI, 53705, USA.
- Department of Population Health Sciences, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
- Department of Family Medicine and Community Health, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
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206
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Katigbak C, Fontenot HB. A Primer on the New Guideline for the Prevention, Detection, Evaluation, and Management of Hypertension. Nurs Womens Health 2018; 22:346-354. [PMID: 30077241 DOI: 10.1016/j.nwh.2018.06.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 05/04/2018] [Accepted: 05/01/2018] [Indexed: 01/14/2023]
Abstract
Hypertension is a leading risk factor for the development of cardiovascular disease. In 2017, the American College of Cardiology and the American Heart Association published a new guideline for the prevention, detection, evaluation, and management of hypertension. The guideline adjusts the clinical parameters for diagnosis and management of hypertension. In this article we summarize the updates and provide some background on these changes as they relate to nursing practice implications, with specific implications for women's health.
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207
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Billups SJ, Saseen JJ, Vande Griend JP, Schilling LM. Blood pressure control rates measured in specialty vs primary care practices within a large integrated health system. J Clin Hypertens (Greenwich) 2018; 20:1253-1259. [DOI: 10.1111/jch.13345] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 04/13/2018] [Accepted: 06/05/2018] [Indexed: 11/28/2022]
Affiliation(s)
- Sarah J. Billups
- Skaggs School of Pharmacy and Pharmaceutical Sciences; University of Colorado; Aurora Colorado
| | - Joseph J. Saseen
- Skaggs School of Pharmacy and Pharmaceutical Sciences; University of Colorado; Aurora Colorado
- School of Medicine; University of Colorado; Aurora Colorado
| | - Joseph P. Vande Griend
- Skaggs School of Pharmacy and Pharmaceutical Sciences; University of Colorado; Aurora Colorado
- University of Colorado Health; Aurora Colorado
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208
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Sheppard JP, Martin U, Gill P, Stevens R, Hobbs FR, Mant J, Godwin M, Hanley J, McKinstry B, Myers M, Nunan D, McManus RJ. Prospective external validation of the Predicting Out-of-OFfice Blood Pressure (PROOF-BP) strategy for triaging ambulatory monitoring in the diagnosis and management of hypertension: observational cohort study. BMJ 2018; 361:k2478. [PMID: 29950396 PMCID: PMC6020747 DOI: 10.1136/bmj.k2478] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/07/2018] [Indexed: 12/16/2022]
Abstract
OBJECTIVE To prospectively validate the Predicting Out-of-OFfice Blood Pressure (PROOF-BP) algorithm to triage patients with suspected high blood pressure for ambulatory blood pressure monitoring (ABPM) in routine clinical practice. DESIGN Prospective observational cohort study. SETTING 10 primary care practices and one hospital in the UK. PARTICIPANTS 887 consecutive patients aged 18 years or more referred for ABPM in routine clinical practice. All underwent ABPM and had the PROOF-BP applied. MAIN OUTCOME MEASURES The main outcome was the proportion of participants whose hypertensive status was correctly classified using the triaging strategy compared with the reference standard of daytime ABPM. Secondary outcomes were the sensitivity, specificity, and area under the receiver operator characteristic curve (AUROC) for detecting hypertension. RESULTS The mean age of participants was 52.8 (16.2) years. The triaging strategy correctly classified hypertensive status in 801 of the 887 participants (90%, 95% confidence interval 88% to 92%) and had a sensitivity of 97% (95% confidence interval 96% to 98%) and specificity of 76% (95% confidence interval 71% to 81%) for hypertension. The AUROC was 0.86 (95% confidence interval 0.84 to 0.89). Use of triaging, rather than uniform referral for ABPM in routine practice, would have resulted in 435 patients (49%, 46% to 52%) being referred for ABPM and the remainder managed on the basis of their clinic measurements. Of these, 69 (8%, 6% to 10%) would have received treatment deemed unnecessary had they received ABPM. CONCLUSIONS In a population of patients referred for ABPM, this new triaging approach accurately classified hypertensive status for most, with half the utilisation of ABPM compared with usual care. This triaging strategy can therefore be recommended for diagnosis or management of hypertension in patients where ABPM is being considered, particularly in settings with limited resources.
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Affiliation(s)
- James P Sheppard
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care, OX2 6GG Oxford, UK
| | - Una Martin
- Institute of Clinical Sciences, University of Birmingham, Birmingham, UK
| | - Paramjit Gill
- Warwick Medical School, University of Warwick, Coventry, UK
| | - Richard Stevens
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care, OX2 6GG Oxford, UK
| | - Fd Richard Hobbs
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care, OX2 6GG Oxford, UK
| | | | | | | | | | | | - David Nunan
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care, OX2 6GG Oxford, UK
| | - Richard J McManus
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Primary Care, OX2 6GG Oxford, UK
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Webb N, Orme M, Witkowski M, Nakanishi R, Langer J. A Network Meta-Analysis Comparing Semaglutide Once-Weekly with Other GLP-1 Receptor Agonists in Japanese Patients with Type 2 Diabetes. Diabetes Ther 2018; 9:973-986. [PMID: 29574633 PMCID: PMC5984907 DOI: 10.1007/s13300-018-0397-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2018] [Indexed: 12/25/2022] Open
Abstract
INTRODUCTION Semaglutide once-weekly (QW) is a novel glucagon-like peptide-1 (GLP-1) analogue administered at a 0.5 or 1.0 mg dose. In the absence of head-to-head trials between semaglutide QW and other GLP-1 receptor agonists (GLP-1 RAs) in a Japanese population, a network meta-analysis (NMA) was performed. The objective was to assess the relative efficacy and safety of semaglutide QW vs GLP-1 RAs in Japanese patients with type 2 diabetes (T2DM), with a specific focus on the comparison between semaglutide 0.5 mg QW and dulaglutide 0.75 mg QW. METHODS A systematic review (SR) and supplementary Japanese searches were conducted to identify trials of GLP-1 RAs in Japanese patients on diet and exercise, who have previously received 0-1 oral antidiabetic drugs (OADs). Data at 52-56 weeks were extracted for the following outcomes (feasible for analysis in an NMA): glycated hemoglobin (HbA1c), fasting plasma glucose (FPG), weight, systolic blood pressure (SBP), and overall hypoglycemia. The data were synthesized using an NMA and a Bayesian framework. RESULTS Four trials, identified from the SR and Japanese-specific searches, were relevant for inclusion in the NMA. When compared to dulaglutide 0.75 mg QW, semaglutide 0.5 mg QW was shown to provide significant reductions in HbA1c [- 0.61% (12.3 mmol/mol)], weight (- 1.45 kg), SBP (- 5.03 mmHg), and FPG (- 1.26 mmol/L). No significant differences in the proportion of patients achieving a HbA1c level < 7% (53 mmol/mol) or the risk of overall hypoglycemia were observed between semaglutide 0.5 mg QW and dulaglutide 0.75 mg QW. CONCLUSION Overall, semaglutide 0.5 mg QW was associated with significant reductions from baseline in HbA1c, weight, SBP, and FPG compared with dulaglutide 0.75 mg QW in Japanese patients with T2DM. These data may provide valuable evidence for clinical decision-making, cost-effectiveness analyses, and health technology appraisal (HTA) requirements. FUNDING Novo Nordisk Pharma Ltd.
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Affiliation(s)
- Neil Webb
- DRG Abacus, Bicester, Oxfordshire, UK
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211
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The role of clinic blood pressure for the diagnosis of hypertension. Curr Opin Cardiol 2018; 33:402-407. [PMID: 29782333 DOI: 10.1097/hco.0000000000000528] [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: 11/26/2022]
Abstract
PURPOSE OF REVIEW Recent data from randomized clinical trials and updates to hypertension guidelines warrant a review of the literature for the diagnosis and management of hypertension in the clinic setting. Although there have been significant advances in ambulatory blood pressure (BP) monitoring and home BP monitoring, office BP (OBP) measurements remains the primary means of diagnosis and treatment. RECENT FINDINGS The current review focuses on updated guidelines, proper technique, device selection, and the recent controversy regarding unattended BP measurements. We review the data on cardiovascular outcomes, the comparison of OBP with ambulatory BP monitoring and home BP monitoring and some of the pitfalls of OBP measurements. SUMMARY The current review highlights the need for constant review of BP goals to minimize cardiovascular risk and some of the ongoing controversies regarding OBP measurements.
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212
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Cushman WC, Johnson KC. The 2017 U.S. Hypertension Guidelines: What Is Important for Older Adults? J Am Geriatr Soc 2018; 66:1062-1067. [DOI: 10.1111/jgs.15395] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Accepted: 03/02/2018] [Indexed: 01/11/2023]
Affiliation(s)
- William C. Cushman
- Preventive Medicine Section; Veterans Affairs Medical Center; Memphis Tennessee
- Department of Preventive Medicine; University of Tennessee Health Science Center; Memphis Tennessee
| | - Karen C. Johnson
- Department of Preventive Medicine; University of Tennessee Health Science Center; Memphis Tennessee
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Abstract
CONTEXT Paper home blood pressure (HBP) charts are commonly brought to physicians at office visits. The precision and accuracy of mental calculations of blood pressure (BP) means are not known. METHODS A total of 109 hypertensive patients were instructed to measure and record their HBP for 1 week and to bring their paper charts to their office visit. Study section 1: HBP means were calculated electronically and compared to corresponding in-office BP estimates made by physicians. Study section 2: 100 randomly ordered HBP charts were re-examined repetitively by 11 evaluators. Each evaluator estimated BP means four times in 5, 15, 30, and 60 s (random order) allocated for the task. BP means and diagnostic performance (determination of therapeutic systolic and diastolic BP goals attained or not) were compared between physician estimates and electronically calculated results. RESULTS Overall, electronically and mentally calculated BP means were not different. Individual analysis showed that 83% of in-office physician estimates were within a 5-mmHg systolic BP range. There was diagnostic disagreement in 15% of cases. Performance improved consistently when the time allocated for BP estimation was increased from 5 to 15 s and from 15 to 30 s, but not when it exceeded 30 s. CONCLUSION Mentally calculating HBP means from paper charts can cause a number of diagnostic errors. Chart evaluation exceeding 30 s does not significantly improve accuracy. BP-measuring devices with modern analytical capacities could be useful to physicians.
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214
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Muldoon MF, Kronish IM, Shimbo D. Of Signal and Noise: Overcoming Challenges in Blood Pressure Measurement to Optimize Hypertension Care. Circ Cardiovasc Qual Outcomes 2018; 11:e004543. [PMID: 29748355 PMCID: PMC6026858 DOI: 10.1161/circoutcomes.117.004543] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Matthew F Muldoon
- Heart and Vascular Institute, Department of Medicine, University of Pittsburgh School of Medicine, PA (M.F.M.)
| | - Ian M Kronish
- Center for Behavioral Cardiovascular Health, Department of Medicine, Columbia University Medical Center, New York, NY (I.M.K., D.S.)
| | - Daichi Shimbo
- Center for Behavioral Cardiovascular Health, Department of Medicine, Columbia University Medical Center, New York, NY (I.M.K., D.S.)
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215
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Could self-measured office blood pressure be a hypertension screening tool for limited-resources settings? J Hum Hypertens 2018; 32:415-422. [PMID: 29713048 DOI: 10.1038/s41371-018-0057-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Revised: 01/24/2018] [Accepted: 02/19/2018] [Indexed: 11/09/2022]
Abstract
Blood pressure (BP) was assessed by patients themselves in recently published trials. Self-measured office blood pressure (SMOBP) seems particularly interesting for limited health resources regions. The aim of our study was to evaluate the relationship between SMOBP values and those estimated by ambulatory blood pressure monitoring (ABPM). Six hundred seventy-seven patients were evaluated using both, SMOBP and ABPM. The differences between SMOBP and daytime ABPM were evaluated with paired "t" test. The correlations among SMOBP and ABPM were estimated using Pearson's r. The accuracy of SMOBP to identify abnormal ABPM was determined using area under ROC curve (AUC). Sensitivity, specificity, and positive and negative predictive values were calculated for different SMOBP cut-points. Using the average of three readings, systolic SMOBP was higher (3.7 (14.2) mmHg, p < 0.001) and diastolic SMOBP lower (1.5 (8.1) mmHg, p < 0.001) than ABPM. Both BP estimates had a significant correlation, r = 0.67 and r = 0.75 (p < 0.01) for systolic and diastolic BP, respectively. Systolic SMOBP predicted systolic abnormal ABPM; the AUC were 0.80 (0.77-0.84) and 0.78 (0.74-0.81) for daytime and 24 h hypertension, respectively. Diastolic SMOBP predicted diastolic hypertension, AUC 0.86 (0.83-0.88) for both daytime and 24 h hypertension. Neither correlations nor AUCs improved significantly using the average of five readings. SMOBP ≥ 160/90 mmHg was highly specific (>95%) to identify individuals with hypertension in the ABPM; SMOBP < 130/80 mmHg reasonably discarded abnormal ABPM. In conclusion, a high proportion of individuals could be classified adequately using SMOBP, reducing the necessity of healthcare resources and supporting its utility for screening purposes.
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216
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Boonyasai RT, Dietz KB, McCannon EL, Cooper LA. Automated blood pressure measurement may not improve efficiency if manual technique was suboptimal. J Clin Hypertens (Greenwich) 2018; 20:821-822. [PMID: 29604161 DOI: 10.1111/jch.13263] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Romsai T Boonyasai
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Johns Hopkins Center for Health Equity, Baltimore, MD, USA
| | - Katherine B Dietz
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Johns Hopkins Center for Health Equity, Baltimore, MD, USA
| | | | - Lisa A Cooper
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Johns Hopkins Center for Health Equity, Baltimore, MD, USA
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217
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Saherwala AA, Stutzman SE, Osman M, Kalia J, Figueroa SA, Olson DM, Aiyagari V. Correlation of Noninvasive Blood Pressure and Invasive Intra-arterial Blood Pressure in Patients Treated with Vasoactive Medications in a Neurocritical Care Unit. Neurocrit Care 2018; 28:265-272. [DOI: 10.1007/s12028-018-0521-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
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Nowak D, Gośliński M, Nowatkowska K. The Effect of Acute Consumption of Energy Drinks on Blood Pressure, Heart Rate and Blood Glucose in the Group of Young Adults. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15030544. [PMID: 29562659 PMCID: PMC5877089 DOI: 10.3390/ijerph15030544] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/12/2018] [Revised: 03/02/2018] [Accepted: 03/14/2018] [Indexed: 02/08/2023]
Abstract
Background: Energy drinks (EDs) are very popular among young people, who consume them for various reasons. A standard ED typically contains 80 mg of caffeine, as well as glucose, taurine, vitamins and other ingredients. Excessive consumption of EDs and accumulation of the above ingredients, as well as their mutual interactions, can be hazardous to the health of young adults. The purpose of this study was to assess the effect of acute consumption of energy drinks on blood pressure, heart rate and blood glucose. Methods: The study involved 68 volunteers, healthy young adults (mean age 25 years), who were divided into two groups: the first consumed three EDs at one-hour intervals, and the second drank the same amount of water. All participants had their blood pressure (BP)—systolic and diastolic (SBP and DBP)—as well as heart rate (HR) and blood glucose (BG) measured. In addition, participants could report any health problems before and after consuming each portion of ED. Results: In the above experiment, having consumed three portions of ED (240 mg of caffeine), the participants presented a significant increase in DBP (p = 0.003), by over 8%, which coincided with a lack of any significant impact on SBP (p = 0.809). No significant changes were noted in HR (p = 0.750). Consumption of EDs caused a significant increase (p < 0.001) in BG, by ca. 21%, on average. Some participants reported various discomforts, which escalated after 2 and 3 EDs. Conclusions: Acute consumption of EDs contributed to increased diastolic blood pressure, blood glucose and level of discomfort in healthy young people. Our results reinforce the need for further studies on a larger population to provide sufficient evidence.
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Affiliation(s)
- Dariusz Nowak
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, Dębowa 3, 85-626 Bydgoszcz, Poland.
| | - Michał Gośliński
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, Dębowa 3, 85-626 Bydgoszcz, Poland.
| | - Kamila Nowatkowska
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, Dębowa 3, 85-626 Bydgoszcz, Poland.
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219
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Nerenberg KA, Zarnke KB, Leung AA, Dasgupta K, Butalia S, McBrien K, Harris KC, Nakhla M, Cloutier L, Gelfer M, Lamarre-Cliche M, Milot A, Bolli P, Tremblay G, McLean D, Padwal RS, Tran KC, Grover S, Rabkin SW, Moe GW, Howlett JG, Lindsay P, Hill MD, Sharma M, Field T, Wein TH, Shoamanesh A, Dresser GK, Hamet P, Herman RJ, Burgess E, Gryn SE, Grégoire JC, Lewanczuk R, Poirier L, Campbell TS, Feldman RD, Lavoie KL, Tsuyuki RT, Honos G, Prebtani APH, Kline G, Schiffrin EL, Don-Wauchope A, Tobe SW, Gilbert RE, Leiter LA, Jones C, Woo V, Hegele RA, Selby P, Pipe A, McFarlane PA, Oh P, Gupta M, Bacon SL, Kaczorowski J, Trudeau L, Campbell NRC, Hiremath S, Roerecke M, Arcand J, Ruzicka M, Prasad GVR, Vallée M, Edwards C, Sivapalan P, Penner SB, Fournier A, Benoit G, Feber J, Dionne J, Magee LA, Logan AG, Côté AM, Rey E, Firoz T, Kuyper LM, Gabor JY, Townsend RR, Rabi DM, Daskalopoulou SS. Hypertension Canada's 2018 Guidelines for Diagnosis, Risk Assessment, Prevention, and Treatment of Hypertension in Adults and Children. Can J Cardiol 2018; 34:506-525. [PMID: 29731013 DOI: 10.1016/j.cjca.2018.02.022] [Citation(s) in RCA: 429] [Impact Index Per Article: 61.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Revised: 02/20/2018] [Accepted: 02/20/2018] [Indexed: 12/13/2022] Open
Abstract
Hypertension Canada provides annually updated, evidence-based guidelines for the diagnosis, assessment, prevention, and treatment of hypertension in adults and children. This year, the adult and pediatric guidelines are combined in one document. The new 2018 pregnancy-specific hypertension guidelines are published separately. For 2018, 5 new guidelines are introduced, and 1 existing guideline on the blood pressure thresholds and targets in the setting of thrombolysis for acute ischemic stroke is revised. The use of validated wrist devices for the estimation of blood pressure in individuals with large arm circumference is now included. Guidance is provided for the follow-up measurements of blood pressure, with the use of standardized methods and electronic (oscillometric) upper arm devices in individuals with hypertension, and either ambulatory blood pressure monitoring or home blood pressure monitoring in individuals with white coat effect. We specify that all individuals with hypertension should have an assessment of global cardiovascular risk to promote health behaviours that lower blood pressure. Finally, an angiotensin receptor-neprilysin inhibitor combination should be used in place of either an angiotensin-converting enzyme inhibitor or angiotensin receptor blocker in individuals with heart failure (with ejection fraction < 40%) who are symptomatic despite appropriate doses of guideline-directed heart failure therapies. The specific evidence and rationale underlying each of these guidelines are discussed.
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Affiliation(s)
- Kara A Nerenberg
- Division of General Internal Medicine, Departments of Medicine, Obstetrics and Gynecology, Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
| | - Kelly B Zarnke
- O'Brien Institute for Public Health and Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Alexander A Leung
- Division of Endocrinology and Metabolism, Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Kaberi Dasgupta
- Department of Medicine and Centre for Outcomes Research and Evaluation, McGill University and Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Sonia Butalia
- Departments of Medicine and Community Health Sciences, O'Brien Institute for Public Health and Libin Cardiovascular Institute, Cumming School of Medicine, Calgary, Alberta, Canada
| | - Kerry McBrien
- Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Kevin C Harris
- Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Meranda Nakhla
- Department of Medicine and Centre for Outcomes Research and Evaluation, McGill University and Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada
| | - Lyne Cloutier
- Department of Nursing, Université du Québec à Trois-Rivières, Trois-Rivières, Quebec, Canada
| | - Mark Gelfer
- Department of Family Practice, University of British Columbia, Vancouver, British Columbia, Canada
| | | | - Alain Milot
- Department of Medicine, Université Laval, Québec, Quebec, Canada
| | - Peter Bolli
- McMaster University, Hamilton, Ontario, Canada
| | - Guy Tremblay
- CHU-Québec-Hopital St. Sacrement, Québec, Quebec, Canada
| | - Donna McLean
- Alberta Health Services and Covenant Health, Edmonton, Alberta, Canada
| | - Raj S Padwal
- Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Karen C Tran
- Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Steven Grover
- McGill Comprehensive Health Improvement Program (CHIP), Montreal, Quebec, Canada
| | - Simon W Rabkin
- Vancouver Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Gordon W Moe
- St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Jonathan G Howlett
- Departments of Medicine and Cardiac Sciences, University of Calgary, Calgary, Alberta, Canada
| | - Patrice Lindsay
- Director of Stroke, Heart and Stroke Foundation of Canada, Adjunct Faculty, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Michael D Hill
- Department of Clinical Neurosciences, Hotchkiss Brain Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Mike Sharma
- McMaster University, Hamilton Health Sciences, Population Health Research Institute, Hamilton, Ontario, Canada
| | - Thalia Field
- University of British Columbia, Vancouver Stroke Program, Vancouver, British Columbia, Canada
| | - Theodore H Wein
- McGill University, Stroke Prevention Clinic, Montreal General Hospital, Montreal, Quebec, Canada
| | - Ashkan Shoamanesh
- McMaster University, Hamilton Health Sciences, Population Health Research Institute, Hamilton, Ontario, Canada
| | - George K Dresser
- Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada
| | - Pavel Hamet
- Faculté de Médicine, Université de Montréal, Montréal, Quebec, Canada
| | - Robert J Herman
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Ellen Burgess
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Steven E Gryn
- Department of Medicine, Western University, London, Ontario, Canada
| | - Jean C Grégoire
- Université de Montréal, Institut de cardiologie de Montréal, Montréal, Quebec, Canada
| | - Richard Lewanczuk
- Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Luc Poirier
- Institut National d'Excellence en Sante et Services Sociaux, Québec, Quebec, Canada
| | - Tavis S Campbell
- Department of Psychology, University of Calgary, Calgary, Alberta, Canada
| | - Ross D Feldman
- Winnipeg Regional Health Authority and the University of Manitoba, Winnipeg, Manitoba, Canada
| | - Kim L Lavoie
- University of Quebec at Montreal (UQAM), Montreal Behavioural Medicine Centre, CIUSSS-NIM, Hôpital du Sacré-Coeur de Montréal, Montréal, Quebec, Canada
| | - Ross T Tsuyuki
- Department of Medicine, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - George Honos
- CHUM, University of Montreal, Montreal, Quebec, Canada
| | - Ally P H Prebtani
- Internal Medicine, Endocrinology and Metabolism, McMaster University, Hamilton, Ontario, Canada
| | - Gregory Kline
- Division of Endocrinology and Metabolism, Department of Medicine, University of Calgary, Calgary, Alberta, Canada
| | | | | | - Sheldon W Tobe
- University of Toronto, Toronto, Ontario, and Northern Ontario School of Medicine, Sudbury, Ontario, Canada
| | - Richard E Gilbert
- University of Toronto, Division of Endocrinology, St Michael's Hospital, Toronto, Ontario, Canada
| | - Lawrence A Leiter
- University of Toronto, Division of Endocrinology, St Michael's Hospital, Toronto, Ontario, Canada
| | - Charlotte Jones
- Department of Medicine, UBC Southern Medical Program, Kelowna, British Columbia, Canada
| | - Vincent Woo
- University of Manitoba, Winnipeg, Manitoba, Canada
| | - Robert A Hegele
- Departments of Medicine (Division of Endocrinology) and Biochemistry, Western University, London, Ontario, Canada
| | - Peter Selby
- Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada
| | - Andrew Pipe
- University of Ottawa Heart Institute, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Philip A McFarlane
- Division of Nephrology, St Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - Paul Oh
- University Health Network, Toronto Rehab and Peter Munk Cardiac Centre, Toronto, Ontario, Canada
| | - Milan Gupta
- Department of Medicine, McMaster University, Hamilton, Ontario, and Canadian Collaborative Research Network, Brampton, Ontario, Canada
| | - Simon L Bacon
- Department of Exercise Science, Concordia University, and Montreal Behavioural Medicine Centre, CIUSSS-NIM, Hôpital du Sacré-Coeur de Montréal, Montréal, Quebec, Canada
| | - Janusz Kaczorowski
- Department of Family and Emergency Medicine, Université de Montréal and CRCHUM, Montréal, Quebec, Canada
| | - Luc Trudeau
- Division of Internal Medicine, Department of Medicine, McGill University, Montréal, Quebec, Canada
| | - Norman R C Campbell
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Swapnil Hiremath
- University of Ottawa and the Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Michael Roerecke
- Institute for Mental Health Policy Research, Centre for Addiction and Mental Health, Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Joanne Arcand
- Faculty of Health Sciences, University of Ontario Institute of Technology, Oshawa, Ontario, Canada
| | - Marcel Ruzicka
- Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | | | - Michel Vallée
- Hôpital Maisonneuve-Rosemont, Université de Montréal, Montréal, Quebec, Canada
| | - Cedric Edwards
- Division of Nephrology, Department of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | - Praveena Sivapalan
- Division of General Internal Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
| | | | - Anne Fournier
- Centre Hospitalier Universitaire Sainte-Justine, Université de Montréal, Montréal, Quebec, Canada
| | - Geneviève Benoit
- Service de néphrologie, Centre Hospitalier Universitaire Sainte-Justine, Université de Montréal, Montréal, Quebec, Canada
| | - Janusz Feber
- Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada
| | - Janis Dionne
- Department of Pediatrics, Division of Nephrology, University of British Columbia, BC Children's Hospital, Vancouver, British Columbia, Canada
| | - Laura A Magee
- Department of Women and Children's Health, St Thomas' Hospital, London, and Department of Life Course Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | | | | | - Evelyne Rey
- CHU Sainte-Justine, University of Montreal, Montreal, Quebec, Canada
| | - Tabassum Firoz
- Department of Medicine, The Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Laura M Kuyper
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Jonathan Y Gabor
- Interlake-Eastern Regional Healthy Authority, Concordia Hospital, Winnipeg, Manitoba, Canada
| | - Raymond R Townsend
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Doreen M Rabi
- Division of Endocrinology and Metabolism, Department of Medicine, University of Calgary, Calgary, Alberta, Canada; Departments of Medicine and Community Health Sciences, O'Brien Institute for Public Health and Libin Cardiovascular Institute, Cumming School of Medicine, Calgary, Alberta, Canada
| | - Stella S Daskalopoulou
- Division of Internal Medicine, Department of Medicine, McGill University, Montréal, Quebec, Canada
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The impact of unrecorded readings on the precision and diagnostic performance of home blood pressure monitoring: a statistical study. J Hum Hypertens 2018; 32:197-202. [PMID: 29467411 DOI: 10.1038/s41371-018-0040-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Revised: 11/06/2017] [Accepted: 01/29/2018] [Indexed: 11/09/2022]
Abstract
Hypertension is a major cardiovascular risk factor. To address the disease adequately, most clinicians rely on home blood pressure monitoring (HBPM). However, the impact of unrecorded BP values on the precision and diagnostic performance of BP schedules is unknown. We obtained 103 HBP patients schedules from a previous study. Then, readings were randomly removed from each schedule in order to create new incomplete schedules using a resampling technique. We obtained 10,000 new incomplete schedules. For each number of randomly removed readings, the percentages of incomplete schedules outside a systolic/diastolic blood pressure (SBP/DBP) range of 5/3 mmHg were calculated from the same complete patient's schedule. The sensitivity and specificity of incomplete HBPM schedules regarding BP control were also assessed. One hundred three HBPM schedules were analyzed. Mean patients' age was 67.9 ± 9.9 years. In non-diabetic patients, the mean BP of complete schedules' means was 131.9 ± 12.4/75.5 ± 10.5. In diabetic patients, the mean BP of complete schedules' means was 135.5 ± 14.0/73.4 ± 8.2 mmHg. When schedules were composed of 14 and 21 random measures, differences over 5 mmHg were seen in 2.6% and 0.1% of non-diabetic patients' schedule and 3.7% and 0.1% of diabetic patients' schedule, respectively. At 21 measurements, sensitivity and specificity were approximately 95% and 98% in non-diabetic patients and 90% and 99% in non-diabetic patients, respectively. HBPM precision and diagnostic performance improve rapidly with accumulation of readings. Incomplete schedules composed of 21 readings can provide an almost perfect diagnostic tool compared with the complete schedule reference.
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221
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Parker RA, Paterson M, Padfield P, Pinnock H, Hanley J, Hammersley VS, Steventon A, McKinstry B. Are self-reported telemonitored blood pressure readings affected by end-digit preference: a prospective cohort study in Scotland. BMJ Open 2018; 8:e019431. [PMID: 29391369 PMCID: PMC5878245 DOI: 10.1136/bmjopen-2017-019431] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
OBJECTIVE Simple forms of blood pressure (BP) telemonitoring require patients to text readings to central servers creating an opportunity for both entry error and manipulation. We wished to determine if there was an apparent preference for particular end digits and entries which were just below target BPs which might suggest evidence of data manipulation. DESIGN Prospective cohort study SETTING: 37 socioeconomically diverse primary care practices from South East Scotland. PARTICIPANTS Patients were recruited with hypertension to a telemonitoring service in which patients submitted home BP readings by manually transcribing the measurements into text messages for transmission ('patient-texted system'). These readings were compared with those from primary care patients with uncontrolled hypertension using a system in which readings were automatically transmitted, eliminating the possibility of manipulation of values ('automatic-transmission system'). METHODS A generalised estimating equations method was used to compare BP readings between the patient-texted and automatic-transmission systems, while taking into account clustering of readings within patients. RESULTS A total of 44 150 BP readings were analysed on 1068 patients using the patient-texted system compared with 20 705 readings on 199 patients using the automatic-transmission system. Compared with the automatic-transmission data, the patient-texted data showed a significantly higher proportion of occurrences of both systolic and diastolic BP having a zero end digit (OR 2.1, 95% CI 1.7 to 2.6) although incidence was <2% of readings. Similarly, there was a preference for systolic 134 and diastolic 84 (the threshold for alerts was 135/85) (134 systolic BP OR 1.5, 95% CI 1.3 to 1.8; 84 diastolic BP OR 1.5, 95% CI 1.3 to 1.9). CONCLUSION End-digit preference for zero numbers and specific-value preference for readings just below the alert threshold exist among patients in self-reporting their BP using telemonitoring. However, the proportion of readings affected is small and unlikely to be clinically important. TRIAL REGISTRATION NUMBER ISRCTN72614272; Post-results.
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Affiliation(s)
- Richard A Parker
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Mary Paterson
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Paul Padfield
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Hilary Pinnock
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Janet Hanley
- School of Health and Social Care, Edinburgh Napier University, Edinburgh, UK
| | - Vicky S Hammersley
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | | | - Brian McKinstry
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
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222
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Wing LMH, Gabb GM. Treatment of hypertension in older people. JOURNAL OF PHARMACY PRACTICE AND RESEARCH 2018. [DOI: 10.1002/jppr.1417] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Lindon M. H. Wing
- Department of Clinical Pharmacology; College of Medicine and Public Health; Flinders University; Adelaide Australia
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223
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Boonyasai RT, Carson KA, Marsteller JA, Dietz KB, Noronha GJ, Hsu YJ, Flynn SJ, Charleston JM, Prokopowicz GP, Miller ER, Cooper LA. A bundled quality improvement program to standardize clinical blood pressure measurement in primary care. J Clin Hypertens (Greenwich) 2017; 20:324-333. [PMID: 29267994 DOI: 10.1111/jch.13166] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2017] [Revised: 09/28/2017] [Accepted: 09/30/2017] [Indexed: 12/17/2022]
Abstract
We evaluated use of a program to improve blood pressure measurement at 6 primary care clinics over a 6-month period. The program consisted of automated devices, clinical training, and support for systems change. Unannounced audits and electronic medical records provided evaluation data. Clinics used devices in 81.0% of encounters and used them as intended in 71.6% of encounters, but implementation fidelity varied. Intervention site systolic and diastolic blood pressure with terminal digit "0" decreased from 32.1% and 33.7% to 11.1% and 11.3%, respectively. Improvement occurred uniformly, regardless of sites' adherence to the measurement protocol. Providers rechecked blood pressure measurements less often post-intervention (from 23.5% to 8.1% of visits overall). Providers at sites with high protocol adherence were less likely to recheck measurements than those at low adherence sites. Comparison sites exhibited no change in terminal digit preference or repeat measurements. This study demonstrates that clinics can apply a pragmatic intervention to improve blood pressure measurement. Additional refinement may improve implementation fidelity.
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Affiliation(s)
- Romsai T Boonyasai
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Johns Hopkins Center for Health Equity, Baltimore, MD, USA.,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University School of Medicine and Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kathryn A Carson
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Johns Hopkins Center for Health Equity, Baltimore, MD, USA.,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University School of Medicine and Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jill A Marsteller
- Johns Hopkins Center for Health Equity, Baltimore, MD, USA.,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University School of Medicine and Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Katherine B Dietz
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Johns Hopkins Center for Health Equity, Baltimore, MD, USA
| | - Gary J Noronha
- Center for Primary Care and Department of Medicine, University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | - Yea-Jen Hsu
- Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Sarah J Flynn
- Johns Hopkins Center for Health Equity, Baltimore, MD, USA
| | - Jeanne M Charleston
- Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University School of Medicine and Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Greg P Prokopowicz
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Edgar R Miller
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Johns Hopkins Center for Health Equity, Baltimore, MD, USA.,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University School of Medicine and Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Lisa A Cooper
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Johns Hopkins Center for Health Equity, Baltimore, MD, USA.,Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University School of Medicine and Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
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224
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Boulos D, Koelmeyer RL, Morand EF, Hoi AY. Cardiovascular risk profiles in a lupus cohort: what do different calculators tell us? Lupus Sci Med 2017; 4:e000212. [PMID: 29214035 PMCID: PMC5704739 DOI: 10.1136/lupus-2017-000212] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2017] [Revised: 04/03/2017] [Accepted: 05/27/2017] [Indexed: 11/04/2022]
Abstract
Background Cardiovascular disease (CVD) is the leading cause of death worldwide and this risk is increased in patients with SLE who may not conform to traditional cardiovascular risk profiles. Aims To determine the prevalence of high CVD risk among patients with SLE calculated using different risk calculators, and to characterise those identified as high risk. Methods A cross-sectional analysis to estimate CVD risk using the Framingham Risk Equation (Framingham score) and an SLE-specific CVD risk equation (SLE score) was undertaken using data from a single centre cohort. The characteristics of patients identified as 'high risk' by the SLE score only (the 'missed group') were compared with those identified by the Framingham score (the 'conventional group'). Results 146 patients were included; 22 (15%) and 44 (30%) were determined to be at 'high risk' based on the Framingham and SLE scores, respectively. Patients in the 'missed group' were less likely to have traditional risk factors and were more likely to be female (81% vs 50%; p=0.03), younger (mean age 54 vs 69 years p<0.01) and have lower systolic blood pressure (132 vs 143 mm Hg; p=0.05). Of those deemed high risk, only a minority were treated to target blood pressure and lipid levels. Conclusions A large proportion of patients with SLE could be re-classified as high risk using a formula that incorporates SLE disease-related parameters. These patients have different profiles to those identified using a conventional risk model. Optimal CVD risk assessment and management warrants further attention in SLE.
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Affiliation(s)
- Daniel Boulos
- Department of Rheumatology, Monash Health, Clayton, Victoria, Australia
| | - Rachel L Koelmeyer
- Centre for Inflammatory Diseases, Monash University, Clayton, Victoria, Australia
| | - Eric F Morand
- Department of Rheumatology, Monash Health, Clayton, Victoria, Australia.,Centre for Inflammatory Diseases, Monash University, Clayton, Victoria, Australia
| | - Alberta Y Hoi
- Department of Rheumatology, Monash Health, Clayton, Victoria, Australia.,Centre for Inflammatory Diseases, Monash University, Clayton, Victoria, Australia
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225
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Hill A, Kelly E, Horswill MS, Watson MO. The effects of awareness and count duration on adult respiratory rate measurements: An experimental study. J Clin Nurs 2017; 27:546-554. [PMID: 28426897 DOI: 10.1111/jocn.13861] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/11/2017] [Indexed: 11/30/2022]
Abstract
AIMS AND OBJECTIVES To investigate whether awareness of manual respiratory rate monitoring affects respiratory rate in adults, and whether count duration influences respiratory rate estimates. BACKGROUND Nursing textbooks typically suggest that the patient should ideally be unaware of respiratory rate observations; however, there is little published evidence of the effect of awareness on respiratory rate, and none specific to manual measurement. In addition, recommendations about the length of the respiratory rate count vary from text to text, and the relevant empirical evidence is scant, inconsistent and subject to substantial methodological limitations. DESIGN Experimental study with awareness of respiration monitoring (aware, unaware; randomised between-subjects) and count duration (60 s, 30 s, 15 s; within-subjects) as the independent variables. Respiratory rate (breaths/minute) was the dependent variable. METHODS Eighty-two adult volunteers were randomly assigned to aware and unaware conditions. In the baseline block, no live monitoring occurred. In the subsequent experimental block, the researcher informed aware participants that their respiratory rate would be counted, and did so. Respirations were captured throughout via video recording, and counted by blind raters viewing 60-, 30- and 15-s extracts. The data were collected in 2015. RESULTS There was no baseline difference between the groups. During the experimental block, the respiratory rates of participants in the aware condition were an average of 2.13 breaths/minute lower compared to unaware participants. Reducing the count duration from 1 min to 15 s caused respiratory rate to be underestimated by an average of 2.19 breaths/minute (and 0.95 breaths/minute for 30-s counts). The awareness effect did not depend on count duration. CONCLUSIONS Awareness of monitoring appears to reduce respiratory rate, and shorter monitoring durations yield systematically lower respiratory rate estimates. RELEVANCE TO CLINICAL PRACTICE When interpreting and acting upon respiratory rate data, clinicians should consider the potential influence of these factors, including cumulative effects.
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Affiliation(s)
- Andrew Hill
- Clinical Skills Development Service, Metro North Hospital and Health Service, Brisbane, Qld, Australia.,School of Psychology, The University of Queensland, Brisbane, Qld, Australia
| | - Eliza Kelly
- School of Psychology, The University of Queensland, Brisbane, Qld, Australia
| | - Mark S Horswill
- School of Psychology, The University of Queensland, Brisbane, Qld, Australia
| | - Marcus O Watson
- Clinical Skills Development Service, Metro North Hospital and Health Service, Brisbane, Qld, Australia.,School of Psychology, The University of Queensland, Brisbane, Qld, Australia.,School of Medicine, The University of Queensland, Brisbane, Qld, Australia
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Ringrose J, Padwal R. The ongoing saga of poor blood pressure measurement: Past, present, and future perspectives. J Clin Hypertens (Greenwich) 2017; 19:611-613. [DOI: 10.1111/jch.13016] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Affiliation(s)
| | - Raj Padwal
- Department of Medicine; University of Alberta; Edmonton AB Canada
- Alberta Diabetes Institute; Edmonton AB Canada
- Mazankowski Alberta Heart Institute; Edmonton AB Canada
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