1
|
Piazza G, Desai NR, Baber U, Exter J, Kalich B, Monteleone P. Practical solutions for implementation of blood cholesterol guidelines in clinical practice. Trends Cardiovasc Med 2024; 34:371-378. [PMID: 37634754 DOI: 10.1016/j.tcm.2023.08.001] [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: 06/30/2023] [Revised: 08/16/2023] [Accepted: 08/17/2023] [Indexed: 08/29/2023]
Abstract
Underutilization of lipid-lowering therapy (LLT) and failure to attain guideline-recommended low-density lipoprotein cholesterol (LDL-C) goals are important quality gaps in cardiovascular risk optimization, especially among patients with atherosclerotic cardiovascular disease (ASCVD). Large database analyses demonstrate an unmet need for improved LDL-C measurement, and that nearly 75% of patients with ASCVD have an LDL-C level above guideline-recommended levels, and greater than 50% are not treated with statins or ezetimibe. Proposed solutions for overcoming these obstacles to optimal lipid management include provider- and patient-facing educational interventions, health information technology strategies, implementation of incentive-based care, advocacy efforts, and systems-based process innovations. While individual interventions may not be enough to overcome the totality of barriers to optimal LLT, comprehensive multifaceted approaches that address barriers at the provider, patient, and healthcare delivery level are likely to offer the greatest likelihood of success and improved patient outcomes.
Collapse
Affiliation(s)
- Gregory Piazza
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
| | - Nihar R Desai
- Section of Cardiology, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, United States
| | - Usman Baber
- Department of Cardiology, The University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
| | - Jason Exter
- Amgen Inc., Thousand Oaks, CA, United States
| | | | - Peter Monteleone
- The University of Texas at Austin Dell School of Medicine, Austin, TX, United States
| |
Collapse
|
2
|
Nakashima K, Kumakura H, Funada R, Matsuo Y, Sakata K, Ichikawa A, Iwasaki T, Ichikawa S. Influence of Microalbuminuria on Long-Term Survival and Cardiovascular or Limb Events in Peripheral Arterial Disease. Ann Vasc Dis 2021; 14:236-243. [PMID: 34707745 PMCID: PMC8474086 DOI: 10.3400/avd.oa.21-00045] [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: 04/10/2021] [Accepted: 06/01/2021] [Indexed: 11/24/2022] Open
Abstract
Objective: This study aimed to examine the relationship between microalbuminuria and long-term life expectancy or limb events in patients with peripheral arterial disease (PAD). Materials and Methods: A prospective cohort study was performed in 714 patients with PAD. The primary outcomes were cardiovascular or cerebrovascular death (CCVD) and all-cause death (AD), and secondary outcomes were major adverse cardiovascular events (MACE) and cardiovascular and/or limb events (CVLE). Results: The 5, 10, and 15 year survival rates were 82.4%, 53.1%, and 33.0%, respectively. The prevalence of patients with increased microalbuminuria was 39.2%. Higher microalbuminuria, age, C-reactive protein (CRP), lower serum albumin, estimated glomerular filtration rate (eGFR), ankle–brachial pressure index (ABI), diabetes, cerebral infarction, and coronary heart disease (CHD) were associated with CCVD; higher microalbuminuria, age, CRP, D-dimer, lower serum albumin, eGFR, and critical limb ischemia were related to AD; higher microalbuminuria, age, CRP, lower serum albumin, ABI, diabetes, and CHD were related to MACE; higher microalbuminuria, age, lower ABI, cerebral infarction, and CHD were related to CVLE in Cox multivariate analyses (p<0.05). Statins reduced CCVD, AD, MACE, and CVLE (p<0.001). Conclusion: Higher microalbuminuria was a significant predictor for CCVD, AD, MACE, and CVLE in PAD patients.
Collapse
Affiliation(s)
- Kuniki Nakashima
- Department of Cardiovascular Surgery, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| | - Hisao Kumakura
- Department of Cardiovascular Medicine, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| | - Ryuichi Funada
- Department of Cardiovascular Medicine, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| | - Yae Matsuo
- Department of Cardiovascular Medicine, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| | - Kimimasa Sakata
- Department of Cardiovascular Surgery, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| | - Akiko Ichikawa
- Department of Nephrology, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| | - Toshiya Iwasaki
- Department of Cardiovascular Medicine, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| | - Shuichi Ichikawa
- Department of Cardiovascular Medicine, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| |
Collapse
|
3
|
Nakashima K, Kumakura H, Funada R, Matsuo Y, Sakata K, Ichikawa A, Iwasaki T, Ichikawa S. Impact of brain natriuretic peptide for predicting long-term life expectancy and cardiovascular or limb events in peripheral arterial disease. INT ANGIOL 2021; 40:520-527. [PMID: 34313412 DOI: 10.23736/s0392-9590.21.04720-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND Brain natriuretic peptide (BNP) is introduced as a predictor of the degree of ventricular dysfunction and is associated with mortality. There are limited reports on the relationship of BNP with long-term all-cause death (AD) and cardiovascular or limb events in peripheral artery disease (PAD). We examined the relationship between BNP level and these events in PAD patients. METHODS We performed a prospective cohort study in 938 PAD patients. The patients were divided into four groups based on BNP levels with median (interquartile range): Q1: ≤20.4; Q2: 20.5-42.8; Q3: 42.9-103.4; and Q4: ≥103.5 pg/mL. The endpoints were AD, freedom from major adverse cardiovascular events (MACE), and MACE plus limb events (MALE). RESULTS The median follow-up time was 65 months. There were 383 deaths (40.8%) during follow-up period. AD depended on BNP levels (p<0.01), with 5-year freedom from AD rates of Q1: 94%, Q2: 84%, Q3: 69%, and Q4: 55%. The Kaplan-Meier estimates of freedom from AD, MACE, and MALE had significant differences among Q1- Q4 groups (p< 0.001). In multiple regression analysis, BNP had significant negative correlations with eGFR, serum albumin, and BMI and positive correlations with diabetes (p<0.05). In Cox multivariate analysis, higher BNP, age, CRP, D-dimer, lower BMI, ABI, serum albumin, and eGFR were related to AD; and higher BNP, age, lower ABI, serum albumin, CAD, and DM were related to MACE and MALE (p<0.05). Statins improved AD, MACE, and MALE (p<0.01). CONCLUSIONS BNP was a promising biomarker for AD, MACE, and MALE in patients with PAD.
Collapse
Affiliation(s)
- Kuniki Nakashima
- Department of Cardiovascular Surgery, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| | - Hisao Kumakura
- Department of Cardiovascular Medicine, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan -
| | - Ryuichi Funada
- Department of Cardiovascular Medicine, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| | - Yae Matsuo
- Department of Cardiovascular Medicine, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| | - Kimimasa Sakata
- Department of Cardiovascular Surgery, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| | - Akiko Ichikawa
- Department of Nephrology, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| | - Toshiya Iwasaki
- Department of Cardiovascular Medicine, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| | - Shuichi Ichikawa
- Department of Cardiovascular Medicine, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| |
Collapse
|
4
|
Haraguchi Y, Sakakura K, Yamamoto K, Taniguchi Y, Tsukui T, Seguchi M, Wada H, Momomura SI, Fujita H. Determinants of Insufficient Optimal Medical Therapy after Acute Myocardial Infarction. Intern Med 2020; 59:1489-1495. [PMID: 32188806 PMCID: PMC7364243 DOI: 10.2169/internalmedicine.4016-19] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Objective Although the importance of evidence-based optimal medical therapy (OMT) after acute myocardial infarction (AMI) has been recognized, the prescription rate of OMT is not sufficiently high in real-word clinical settings. The purpose of this study was to identify the clinical characteristics of AMI patients who did not receive OMT. Methods The present study was a retrospective study. OMT was defined as the combination of antiplatelet therapy, angiotensin-converting enzyme (ACE) inhibitors/angiotensin II receptor blockers (ARBs), beta-blockers, and statins at the time of hospital discharge. Non-OMT was defined as the lack of either antiplatelet therapy, ACE inhibitors/ARBs, beta-blockers, or statins. Results A total of 457 AMI patients were included as the final study population, and 98 patients (22.4%) lacked at least 1 OMT medication. The prescription rates of antiplatelet therapy, ACE inhibitors/ARBs, beta-blockers, and statins were 98.7%, 87.5%, 90.4%, and 96.7%, respectively. In the multivariate logistic regression analysis, age [per 1-year increase: odds ratio (OR) 1.033, 95% confidence interval (CI) 1.007-1.059, p=0.014], hemodialysis (vs. no hemodialysis: OR 2.707, 95% CI 1.082-6.774, p=0.033), estimated glomerular filtration rate <30 mL/min/1.73 m2 without hemodialysis (OR 4.585, 95% CI 1.975-10.644, p<0.001), AMI caused by vasospastic angina (VSA) (vs. no VSA: OR 13.198, 95% CI 1.809-96.260, p=0.011), and asthma (vs. no asthma: OR 7.241, 95% CI 1.716-30.559, p=0.007) were significantly associated with non-OMT, whereas heart rate on admission (per 1-bpm increase: 0.987, 95% CI 0.975-0.999, p=0.033), any PCI (vs. no PCI: OR 0.156, 95% CI 0.066-0.373, p<0.001), and ST-elevation myocardial infarction (STEMI) (vs. NSTEMI: OR 0.384, 95% CI 0.218-0.675, p=0.001) were inversely associated with non-OMT. Conclusion An advanced age, VSA, bradycardia, asthma, impaired renal function, non-PCI revascularization, and non-ST-elevation myocardial infarction were significantly associated with non-OMT.
Collapse
Affiliation(s)
- Yumiko Haraguchi
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
| | - Kenichi Sakakura
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
| | - Kei Yamamoto
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
| | - Yousuke Taniguchi
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
| | - Takunori Tsukui
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
| | - Masaru Seguchi
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
| | - Hiroshi Wada
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
| | - Shin-Ichi Momomura
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
| | - Hideo Fujita
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
| |
Collapse
|
5
|
Squizzato F, Antonello M, Taglialavoro J, Prosdocimi L, Grego F, Lupia M, Piazza M. Clinical Impact of Routine Cardiology Consultation Prior to Elective Carotid Endarterectomy in Neurologically Asymptomatic Patients. Eur J Vasc Endovasc Surg 2020; 59:536-544. [DOI: 10.1016/j.ejvs.2019.11.007] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 09/13/2019] [Accepted: 11/06/2019] [Indexed: 01/29/2023]
|
6
|
Grundy SM, Stone NJ, Bailey AL, Beam C, Birtcher KK, Blumenthal RS, Braun LT, de Ferranti S, Faiella-Tommasino J, Forman DE, Goldberg R, Heidenreich PA, Hlatky MA, Jones DW, Lloyd-Jones D, Lopez-Pajares N, Ndumele CE, Orringer CE, Peralta CA, Saseen JJ, Smith SC, Sperling L, Virani SS, Yeboah J. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Blood Cholesterol: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. Circulation 2019; 139:e1082-e1143. [PMID: 30586774 PMCID: PMC7403606 DOI: 10.1161/cir.0000000000000625] [Citation(s) in RCA: 1176] [Impact Index Per Article: 235.2] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Scott M Grundy
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Neil J Stone
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Alison L Bailey
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Craig Beam
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Kim K Birtcher
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Roger S Blumenthal
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Lynne T Braun
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Sarah de Ferranti
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph Faiella-Tommasino
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Daniel E Forman
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Ronald Goldberg
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Paul A Heidenreich
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Mark A Hlatky
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Daniel W Jones
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Donald Lloyd-Jones
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Nuria Lopez-Pajares
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Chiadi E Ndumele
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Carl E Orringer
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Carmen A Peralta
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph J Saseen
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Sidney C Smith
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Laurence Sperling
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Salim S Virani
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| | - Joseph Yeboah
- ACC/AHA Representative. †AACVPR Representative. ‡ACC/AHA Task Force on Clinical Practice Guidelines Liaison. §Prevention Subcommittee Liaison. ‖PCNA Representative. ¶AAPA Representative. **AGS Representative. ††ADA Representative. ‡‡PM Representative. §§ACPM Representative. ‖‖NLA Representative. ¶¶APhA Representative. ***ASPC Representative. †††ABC Representative
| |
Collapse
|
7
|
Leppin AL, Boehmer KR, Branda ME, Shah ND, Hargraves I, Dick S, Elwyn G, Ting HH, Ye S, Gilles R, Abbas M, Alexander A, Montori VM. Developing a toolkit to implement the Statin Choice Conversation Aid at scale: application of a work reduction model. BMC Health Serv Res 2019; 19:249. [PMID: 31018840 PMCID: PMC6480421 DOI: 10.1186/s12913-019-4055-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2018] [Accepted: 03/31/2019] [Indexed: 11/26/2022] Open
Abstract
Background Guidelines recommend shared decision making (SDM) for determining whether to use statins to prevent cardiovascular events in at-risk patients. We sought to develop a toolkit to facilitate the cross-organizational spread and scale of a SDM intervention called the Statin Choice Conversation Aid (SCCA) by (i) assessing the work stakeholders must do to implement the tool; and (ii) orienting the resulting toolkit’s components to communicate and mitigate this work. Methods We conducted multi-level and mixed methods (survey, interview, observation, focus group) characterizations of the contexts of 3 health systems (n = 86, 84, and 26 primary care clinicians) as they pertained to the impending implementation of the SCCA. We merged the data within implementation outcome domains of feasibility, appropriateness, and acceptability. Using Normalization Process Theory, we then characterized and categorized the work stakeholders did to implement the tool. We used clinician surveys and IP address-based tracking to calculate SCCA usage over time and judged how stakeholder effort was allocated to influence outcomes at 6 and 18 months. After assessing the types and impact of the work, we developed a multi-component toolkit. Results At baseline, the three contexts differed regarding feasibility, acceptability, and appropriateness of implementation. The work of adopting the tool was allocated across many strategies in complex and interdependent ways to optimize these domains. The two systems that allocated the work strategically had higher uptake (5.2 and 2.9 vs. 1.1 uses per clinician per month at 6 months; 3.8 and 2.1 vs. 0.4 at 18 months, respectively) than the system that did not. The resulting toolkit included context self-assessments intended to guide stakeholders in considering the early work of SCCA implementation; and webinars, EMR integration guides, video demonstrations, and an implementation team manual aimed at supporting this work. Conclusions We developed a multi-component toolkit for facilitating the scale-up and spread of a tool to promote SDM across clinical settings. The theory-based approach we employed aimed to distinguish systems primed for adoption and support the work they must do to achieve implementation. Our approach may have value in orienting the development of multi-component toolkits and other strategies aimed at facilitating the efficient scale up of interventions. Trial registration ClinicalTrials.govNCT02375815. Electronic supplementary material The online version of this article (10.1186/s12913-019-4055-8) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Aaron L Leppin
- Division of Health Care Policy and Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. .,Knowledge and Evaluation Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
| | - Kasey R Boehmer
- Knowledge and Evaluation Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Megan E Branda
- Department of Health Sciences Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Nilay D Shah
- Division of Health Care Policy and Research, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Ian Hargraves
- Knowledge and Evaluation Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Sara Dick
- Knowledge and Evaluation Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Glyn Elwyn
- The Dartmouth Institute for Health Policy and Clinical Practice, Level 5, Williamson Translational Research Building, 1 Medical Center Drive, Labanon, NH, 03756, USA
| | - Henry H Ting
- Department of Cardiovascular Diseases, Mayo Clinic, 4500 San Pablo Rd S, Jacksonville, FL, 32224, USA
| | - Siqin Ye
- Department of Medicine, Columbia University Medical Center, 622 West 168th Street, New York, NY, 10033, USA
| | - Ryan Gilles
- Department of Family Medicine, Kootenai Health, 2003 Kootenai Health Way, Coeur d'Alene, ID, 83814, USA
| | - Marghoob Abbas
- Mosaic Life Care, 5325 Faraon Street, St. Joseph, MO, 64506, USA
| | - Alex Alexander
- Knowledge and Evaluation Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Victor M Montori
- Knowledge and Evaluation Research Unit, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| |
Collapse
|
8
|
Kumakura H, Kanai H, Matsuo Y, Iwasaki T, Ichikawa S. Asymptomatic cerebral infarction is a predictor of long-term survival and vascular or limb events in peripheral arterial disease. EUROPEAN HEART JOURNAL. QUALITY OF CARE & CLINICAL OUTCOMES 2019; 5:43-50. [PMID: 29931172 DOI: 10.1093/ehjqcco/qcy024] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/24/2018] [Accepted: 06/20/2018] [Indexed: 11/13/2022]
Abstract
Aims The purpose of this study was to examine long-term life expectancy including cerebrovascular events (CVE) and fate of the leg in patients with peripheral arterial disease (PAD) with or without cerebral infarction (CI) detected by computed tomography (CT). Methods and results A prospective cohort study was performed in 932 patients with PAD. The endpoints were overall survival (OS), CVE, stroke-free survival (SFS), freedom from major adverse cardiovascular events (MACE), and freedom from major adverse cardiovascular and limb events (MACLE). The prevalence of CI on CT was 56.8%. There were 413 deaths (44.3%) during follow-up. The rate of cardiovascular deaths among those who died was 53.5%. The 3-, 5-, and 10-year OS rates were 82.0%, 76.9%, and 46.2%, respectively. In Cox multivariate analyses, age, ankle brachial pressure index (ABI), critical limb ischaemia (CLI), estimated glomerular filtration rate (eGFR), albumin level, and CI were independent factors associated with OS (P < 0.05); age, ABI, CLI, atrial fibrillation (AF), and CI were related to CVE (P < 0.05); age, ABI, CLI, diabetes, coronary heart disease (CHD), AF, eGFR, lower albumin, and CI were related to SFS (P < 0.05); age, ABI, CLI, diabetes, CHD, eGFR, lower albumin, and CI were associated with MACE (P < 0.05); and age, ABI, diabetes, CHD, eGFR, lower albumin and CI were related to MACLE (P < 0.05). Statins improved MACE and MACLE (P < 0.05), and AF increased MACLE (P < 0.05). Conclusions CI on CT was an independent predictor for mortality, CVE, SFS, MACE, and MACLE. Statins improved MACE and MACLE, but AF increased CVE and MACLE in patients with PAD.
Collapse
Affiliation(s)
- Hisao Kumakura
- Department of Vascular Medicine, Vascular Center, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| | - Hiroyoshi Kanai
- Department of Vascular Medicine, Vascular Center, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| | - Yae Matsuo
- Department of Vascular Medicine, Vascular Center, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| | - Toshiya Iwasaki
- Department of Vascular Medicine, Vascular Center, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| | - Shuichi Ichikawa
- Department of Vascular Medicine, Vascular Center, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shibukawa, Gunma, Japan
| |
Collapse
|
9
|
Superko HR, Williams PT, Dansinger M, Schaefer E. Trends in low-density lipoprotein-cholesterol blood values between 2012 and 2017 suggest sluggish adoption of the recent 2013 treatment guidelines. Clin Cardiol 2018; 42:101-110. [PMID: 30444024 DOI: 10.1002/clc.23115] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2018] [Revised: 11/07/2018] [Accepted: 11/13/2018] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND Over a 14-year period, age-adjusted high total cholesterol (≥240 mg/dL) in the United States declined from 18.3% in 1999 to 2000 to 11.0% in 2013 to 2014, coinciding with the 2001 National Cholesterol Education Program Adult Treatment Panel (ATP)-III guidelines that endorsed low-density lipoprotein (LDL)-cholesterol blood value goals. Statin treatment recommendations were revised by the American College of Cardiology and the American Heart Association (ACC/AHA) in November 2013 to a "risk-based prescription" approach that did not utilize blood cholesterol values. This increased dosage and expanded the statin-eligible population by an estimated 12.8 million US adults. These changes should further lower total and LDL cholesterol concentrations nationally. METHODS We examined data from 507 752 patients nationally aged ≥16 years whose fasting bloods were sent to Boston Heart Diagnostics for direct LDL-cholesterol measurements. Between 2012 and 2017, age-adjusted concentrations were examined by analysis of covariance and LDL-cholesterol ≥160 mg/dL by logistic regression. RESULTS Contrary to expectations, age-adjusted mean LDL-cholesterol concentrations (±SE, mg/dL) increased significantly (P < 10-16 ) in men (2012:113.8 ± 0.3; 2013:115.3 ± 0.2; 2014:114.7 ± 0.2; 2015:116.0 ± 0.2; 2016:117.6 ± 0.2; and 2017:117.1 ± 0.2 mg/dL) and women (2012:119.5 ± 0.3; 2013:120.7 ± 0.2; 2014:119.8 ± 0.02; 2015:120.8 ± 0.2; 2016:122.7 ± 0.1; and 2017:123.8 ± 0.2 mg/dL). The percentage with LDL-cholesterol ≥160 mg/dL also increased significantly (P < 10-9 ) in men and women. Similar results were obtained for ages 40 to 75 years olds (corresponding to ACC/AHA guidelines). CONCLUSION These results provide additional evidence that declining blood LDL-cholesterol levels observed following the ATP-III recommendations, did not further decline (actually increased) following the 2013 ACC/AHA recommendations.
Collapse
Affiliation(s)
- H Robert Superko
- Cholesterol, Genetics, and Heart Disease Institute, Carmel, California
| | | | - Michael Dansinger
- Boston Heart Diagnostics, Framingham, Massachusetts.,Department of Internal Medicine, Tuft's University, Medford, Massachusetts
| | - Ernst Schaefer
- Boston Heart Diagnostics, Framingham, Massachusetts.,Department of Internal Medicine, Tuft's University, Medford, Massachusetts
| |
Collapse
|
10
|
Kumakura H, Kanai H, Hojo Y, Iwasaki T, Ichikawa S. Long-term survival and fate of the leg in de novo intermittent claudication. EUROPEAN HEART JOURNAL. QUALITY OF CARE & CLINICAL OUTCOMES 2018; 3:208-215. [PMID: 28838085 DOI: 10.1093/ehjqcco/qcw057] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2016] [Accepted: 11/02/2016] [Indexed: 01/05/2023]
Abstract
Aims The long-term life expectancy and fate of the leg, including progression rate to critical limb ischaemia (CLI), were analysed in de novo patients with intermittent claudication (IC). Methods and results A prospective cohort study was performed in 1107 patients with de novo IC. The endpoints were overall survival (OS), freedom from major adverse cardiovascular events (MACE), freedom from major adverse cardiovascular and limb events (MACLE), and fate of the leg. The 5-, 10-, 15-, and 20-year rates were 73.3, 47.8, 28.1, and 14.9% for OS, and 63.0, 35.6, 18.5, and 5.7% for freedom from MACE, respectively. In Cox multivariable analysis, body mass index, diabetes, haemodialysis, and C-reactive protein (CRP) level were correlated with OS (P < 0.05). Ankle brachial pressure index, diabetes, coronary artery disease, haemodialysis, and CRP level were independently correlated with freedom from MACE and MACLE. Statins improved mortality, MACE, and MACLE (P < 0.05). Revascularization did not improve mortality and MACE, and femoropopliteal revascularization increased MACLE (P < 0.05). There was no deterioration of claudication in 881 patients (79.6%). Worsening claudication was noted in 211 patients (14.8% per 5 years), and 15 patients (1.1% per 5 years) worsened to CLI. Diabetes and haemodialysis were independent predictors of CLI. A history of cerebral infarction and femoropopliteal revascularization tended to increase CLI. Conclusions Life expectancy in patients with IC was poor, but the rate of IC progression to CLI was low. Statins improved mortality and morbidity, revascularization did not improve mortality and MACE, and femoropopliteal revascularization reduced freedom from MACLE with a risk of CLI.
Collapse
Affiliation(s)
- Hisao Kumakura
- Department of Vascular Medicine, Vascular Center, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shimohakoda 740 Hokkitu-machi, Shibukawa, Gunma 377-0061, Japan
| | - Hiroyoshi Kanai
- Department of Vascular Medicine, Vascular Center, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shimohakoda 740 Hokkitu-machi, Shibukawa, Gunma 377-0061, Japan
| | - Yoshiaki Hojo
- Department of Vascular Medicine, Vascular Center, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shimohakoda 740 Hokkitu-machi, Shibukawa, Gunma 377-0061, Japan
| | - Toshiya Iwasaki
- Department of Vascular Medicine, Vascular Center, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shimohakoda 740 Hokkitu-machi, Shibukawa, Gunma 377-0061, Japan
| | - Shuichi Ichikawa
- Department of Vascular Medicine, Vascular Center, Cardiovascular Hospital of Central Japan (Kitakanto Cardiovascular Hospital), Shimohakoda 740 Hokkitu-machi, Shibukawa, Gunma 377-0061, Japan
| |
Collapse
|
11
|
Christmann M, Rosada A, Ferlinz K, Bramlage P, Steinhagen-Thiessen E. [Lipid profile and cardiovascular risk of participants in the lipid measurement program in the industrial park in Höchst]. Herz 2018; 45:483-492. [PMID: 30267118 DOI: 10.1007/s00059-018-4746-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Revised: 08/07/2018] [Accepted: 08/19/2018] [Indexed: 10/28/2022]
Abstract
BACKGROUND Cardiovascular (CV) diseases are still the most frequent cause of death in industrial nations. Employer-initiated screening of the CV risk could make an early contribution to optimization of the prevention strategies. METHODS In a cross-sectional study the CV risk profile (e.g., dyslipidemia, hypertension, smoking, diabetes mellitus and familial disposition) of 1436 employees at the industrial park in Frankfurt Höchst was analyzed. The total risk was estimated using the PROCAM score. RESULTS A hypercholesterolemia (low-density lipoprotein, LDL >130 mg/dl) was detected in 36% of the participants. Of the high-risk participants (myocardial infarct, apoplexy and/or diabetes) 23.7% (n = 9/38) were in the target range for LDL as defined by the European Society of Cardiology (ESC) of below 70 mg/dl, 18.4% (n = 7) had levels between 70 and 100 mg/dl and 57.9% (n = 22) had levels of more than 100 mg/dl. In addition, more than half of the subjects (53.2%) had increased blood pressure values (defined as systolic blood pressure ≥140 mm Hg and/or diastolic blood pressure ≥90 mm Hg). The prevalence of diabetes (blood sugar >126 mg/dl) was very low (1.3%) as was the frequency of manifest CV diseases (1.4% myocardial infarct or apoplexy, 2.9% stabile angina pectoris or peripheral arterial occlusive disease, PAOD). CONCLUSION The data confirm that the risk factors high blood pressure and dyslipidemia are widespread and the achievement of target values is insufficient, particularly with a high risk of CV. Behavioral therapeutic and/or pharmaceutical measures should be instigated in order to better exploit the high preventive potential for carriers of these risk factors.
Collapse
Affiliation(s)
- M Christmann
- Sanofi-Aventis Deutschland GmbH, Frankfurt, Deutschland
| | - A Rosada
- Klinik für Geriatrie und Altersmedizin, Charité Campus Benjamin Franklin, Berlin, Deutschland
| | - K Ferlinz
- Sanofi-Aventis Deutschland GmbH, Berlin, Deutschland.
| | - P Bramlage
- Institut für Pharmakologie und Präventive Medizin, Cloppenburg, Deutschland
| | - E Steinhagen-Thiessen
- Medizinische Klinik für Endokrinologie und Stoffwechselmedizin, Charité, Berlin, Deutschland
| |
Collapse
|
12
|
Maggioni AP, Calabria S, Rossi E, Martini N. Use of lipid lowering drugs in patients at very high risk of cardiovascular events: An analysis on nearly 3,000,000 Italian subjects of the ARNO Observatory. Int J Cardiol 2017; 246:62-67. [DOI: 10.1016/j.ijcard.2017.02.108] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Accepted: 02/21/2017] [Indexed: 11/15/2022]
|
13
|
Jneid H, Addison D, Bhatt DL, Fonarow GC, Gokak S, Grady KL, Green LA, Heidenreich PA, Ho PM, Jurgens CY, King ML, Kumbhani DJ, Pancholy S. 2017 AHA/ACC Clinical Performance and Quality Measures for Adults With ST-Elevation and Non–ST-Elevation Myocardial Infarction: A Report of the American College of Cardiology/American Heart Association Task Force on Performance Measures. Circ Cardiovasc Qual Outcomes 2017; 10:HCQ.0000000000000032. [DOI: 10.1161/hcq.0000000000000032] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
|
14
|
O'Donnell TFX, Deery SE, Darling JD, Shean KE, Mittleman MA, Yee GN, Dernbach MR, Schermerhorn ML. Adherence to lipid management guidelines is associated with lower mortality and major adverse limb events in patients undergoing revascularization for chronic limb-threatening ischemia. J Vasc Surg 2017; 66:572-578. [PMID: 28506476 PMCID: PMC5843377 DOI: 10.1016/j.jvs.2017.03.416] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Accepted: 03/03/2017] [Indexed: 12/14/2022]
Abstract
OBJECTIVE The 2013 American College of Cardiology/American Heart Association lipid management guidelines recommend high-intensity statins for all patients ≤75 years old with chronic limb-threatening ischemia (CLTI) and moderate-intensity statins for CLTI patients >75 years old without contraindications or on dialysis, but these recommendations are based primarily on coronary and stroke data. We aimed to validate these guidelines in patients with CLTI and to assess current adherence to these recommendations. METHODS We identified all patients with CLTI who underwent first-time revascularization (endovascular or surgical) at Beth Israel Deaconess Medical Center from 2005 to 2014. Patients were classified as taking high-intensity, moderate-intensity, low-intensity, or no statin postoperatively. Outcomes included death and major adverse limb event (MALE). Propensity scores were calculated for the probability of receiving guideline-recommended intensity of statin therapy to account for nonrandom assignment of treatments. Cox regression models were constructed and adjusted for the propensity scores and further adjusted for strong potential confounders. RESULTS After excluding patients on hemodialysis (n = 252), we identified 1019 limbs from 931 patients with a median follow-up of 380 days. Patients discharged on the recommended statin intensity had higher rates of preoperative statin use, coronary artery disease, chronic kidney disease, stroke, atrial fibrillation, congestive heart failure, and coronary artery bypass grafting; they had lower smoking rates and were less likely to be ambulatory preoperatively. Overall, only 35% were taking the recommended statin dosage: 55% of those >75 years old and 20% of those ≤75 years old. In multivariable analysis including propensity scores where appropriate, discharge on any statin was associated with lower mortality (hazard ratio [HR], 0.71; 95% confidence interval [CI], 0.60-0.90; P < .01). Discharge on the recommended intensity of statin therapy was associated with lower mortality (HR, 0.73; 95% CI, 0.60-0.99; P < .05) and lower MALE rate (HR, 0.71; 95% CI, 0.51-0.97; P < .05). Patients >75 years old and ≤75 years old accrued similar benefit. In patients >75 years old, moderate-intensity statin therapy was associated with lower rates of death and MALE compared with high-intensity therapy but did not reach statistical significance. CONCLUSIONS Use of the recommended intensity of statin therapy in compliance with 2013 American College of Cardiology/American Heart Association lipid management guidelines is associated with significantly improved survival and lower MALE rate in patients undergoing revascularization for CLTI. Adherence to current guidelines is an appealing target for quality improvement.
Collapse
Affiliation(s)
- Thomas F X O'Donnell
- Division of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Boston, Mass
| | - Sarah E Deery
- Division of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Boston, Mass
| | - Jeremy D Darling
- Division of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Boston, Mass
| | - Katie E Shean
- Division of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Boston, Mass
| | - Murray A Mittleman
- Cardiovascular Epidemiology Research Unit, Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Mass; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Mass
| | - Gabrielle N Yee
- Division of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Boston, Mass
| | - Matthew R Dernbach
- Division of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Boston, Mass
| | - Marc L Schermerhorn
- Division of Vascular and Endovascular Surgery, Beth Israel Deaconess Medical Center, Boston, Mass.
| |
Collapse
|
15
|
Housholder-Hughes SD, Martin MM, McFarland MR, Creech CJ, Shea MJ. Healthcare provider compliance with the 2013 ACC/AHA Adult Cholesterol Guideline recommendation for high-intensity dose statins for patients with coronary artery disease. Heart Lung 2017; 46:328-333. [PMID: 28460888 DOI: 10.1016/j.hrtlng.2017.03.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2017] [Revised: 03/07/2017] [Accepted: 03/10/2017] [Indexed: 12/24/2022]
Abstract
BACKGROUND Atherosclerotic cardiovascular disease is the foremost cause of death for U.S. adults. The 2013 ACC/AHA Adult Cholesterol Guidelines recommend high-intensity dose statins for individuals with coronary artery disease (CAD). OBJECTIVE To determine healthcare provider compliance with the Cholesterol Guideline recommendation specific to high-intensity dose statins for patients with CAD. METHODS A retrospective chart review was conducted to determine compliance rate. A questionnaire was developed to evaluate healthcare provider beliefs, attitudes, and self-confidence toward this recommendation. RESULTS Of the 473 patients with CAD, 67% were prescribed a high-intensity dose statin. Patients with non-ST segment myocardial infarction and ST segment myocardial infarction were more likely to be prescribed a high-intensity dose statin versus a moderate or low-intensity dose. Healthcare providers strongly agreed with this guideline recommendation. CONCLUSION There exists a dichotomy between intention to prescribe and actual prescribing behaviors of high-intensity dose statin for patients with CAD.
Collapse
Affiliation(s)
| | - Melanie M Martin
- Dickinson Cardiology Services, Dickinson County Healthcare System, Iron Mountain, MI, USA
| | - Marilyn R McFarland
- Nursing Department, School of Health Professionals and Studies, University of Michigan-Flint, Flint, MI, USA
| | - Constance J Creech
- Nursing Department, School of Health Professionals and Studies, University of Michigan-Flint, Flint, MI, USA
| | - Michael J Shea
- Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
| |
Collapse
|
16
|
Sepucha KR, Wasfy JH. Implementing Shared Decision Making in the Rapidly Evolving Field of Valvular Heart Disease. Circ Cardiovasc Qual Outcomes 2017; 10:CIRCOUTCOMES.117.003549. [DOI: 10.1161/circoutcomes.117.003549] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Karen R. Sepucha
- From the Health Decision Sciences Center, Division of General Internal Medicine (K.R.S.) and Cardiology Division, Department of Medicine (J.H.W.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Jason H. Wasfy
- From the Health Decision Sciences Center, Division of General Internal Medicine (K.R.S.) and Cardiology Division, Department of Medicine (J.H.W.), Massachusetts General Hospital, Harvard Medical School, Boston
| |
Collapse
|
17
|
Wadia SK, Belkin M, Chow KS, Nattiv J, Appis A, Feinstein SB, Williams KA. In-hospital statin underutilization among high-risk patients: delayed uptake of the 2013 cholesterol guidelines in a U.S. cohort. Hosp Pract (1995) 2017; 45:16-20. [PMID: 28092990 DOI: 10.1080/21548331.2017.1282798] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVES Clinician utilization of the 2013 cholesterol lowering guidelines remains variable and unknown. We sought to examine statin prescribing patterns and compare rates among specialists who treat high-risk cardiovascular patients admitted to the hospital. METHODS We retrospectively (via chart review) examined four specialty groups: (i) Cardiology, (ii) Cardiovascular or Vascular (CV) Surgery, (iii) Neurology, and (iv) Internal Medicine. Adult patients were included based on a discharge diagnosis of acute coronary syndrome, coronary artery bypass graft surgery, carotid endarterectomy, acute ischemic stroke, transient ischemic attack, or high-risk chest pain. Prescribing patterns were evaluated 6 months and 18 months after the release of the 2013 guidelines. High-intensity statin was defined as atorvastatin 40-80 mg or rosuvastatin 20-40 mg per day. RESULTS 632 patients were included in our study. The following percentages of patients were discharged on high-intensity statin (6 months; 18 months): (i) Cardiology (80%; 85%), (ii) CV Surgery (52%, 65%), (iii) Neurology (59%; 66%), and (iv) Internal Medicine (45%; 48%). Among the four groups, Cardiology was the most likely to discharge patients on high-intensity statin (p < 0.001) in 2014 and in 2015. Cardiology, CV Surgery, and Neurology significantly increased the percentage of patients on high-intensity statin from pre-admission to time of discharge in both years. CONCLUSION High-intensity statin therapy is underutilized among high-risk cardiovascular patients admitted to the hospital. Variations exist in prescribing patterns of different specialties who manage high-risk populations. This data can be used to test quality improvement interventions to improve rates of high-intensity statin utilization among high-risk patients prior to hospital discharge.
Collapse
Affiliation(s)
- Subeer K Wadia
- a Department of Internal Medicine , Ronald Reagan UCLA Medical Center , Los Angeles , CA , USA
| | - Mark Belkin
- b Department of Internal Medicine , University of Chicago Pritzker School of Medicine , Chicago , IL , USA
| | - Kelsey S Chow
- c Department of Internal Medicine , Rush University Medical Center , Chicago , IL , USA
| | - Jonathan Nattiv
- d Department of Internal Medicine , University of Southern California Keck School of Medicine , Los Angeles , CA , USA
| | - Andrew Appis
- e Division of Cardiology, Rush University Medical Center , Chicago , IL , USA
| | - Steven B Feinstein
- e Division of Cardiology, Rush University Medical Center , Chicago , IL , USA
| | - Kim Allan Williams
- e Division of Cardiology, Rush University Medical Center , Chicago , IL , USA
| |
Collapse
|
18
|
Forouzanfar MH, Afshin A, Alexander LT, Anderson HR, Bhutta ZA, Biryukov S, Brauer M, Burnett R, Cercy K, Charlson FJ, Cohen AJ, Dandona L, Estep K, Ferrari AJ, Frostad JJ, Fullman N, Gething PW, Godwin WW, Griswold M, Hay SI, Kinfu Y, Kyu HH, Larson HJ, Liang X, Lim SS, Liu PY, Lopez AD, Lozano R, Marczak L, Mensah GA, Mokdad AH, Moradi-Lakeh M, Naghavi M, Neal B, Reitsma MB, Roth GA, Salomon JA, Sur PJ, Vos T, Wagner JA, Wang H, Zhao Y, Zhou M, Aasvang GM, Abajobir AA, Abate KH, Abbafati C, Abbas KM, Abd-Allah F, Abdulle AM, Abera SF, Abraham B, Abu-Raddad LJ, Abyu GY, Adebiyi AO, Adedeji IA, Ademi Z, Adou AK, Adsuar JC, Agardh EE, Agarwal A, Agrawal A, Kiadaliri AA, Ajala ON, Akinyemiju TF, Al-Aly Z, Alam K, Alam NKM, Aldhahri SF, Aldridge RW, Alemu ZA, Ali R, Alkerwi A, Alla F, Allebeck P, Alsharif U, Altirkawi KA, Martin EA, Alvis-Guzman N, Amare AT, Amberbir A, Amegah AK, Amini H, Ammar W, Amrock SM, Andersen HH, Anderson BO, Antonio CAT, Anwari P, Ärnlöv J, Artaman A, Asayesh H, Asghar RJ, Assadi R, Atique S, Avokpaho EFGA, Awasthi A, Quintanilla BPA, Azzopardi P, Bacha U, Badawi A, Bahit MC, Balakrishnan K, Barac A, Barber RM, Barker-Collo SL, Bärnighausen T, Barquera S, Barregard L, Barrero LH, Basu S, Batis C, Bazargan-Hejazi S, Beardsley J, Bedi N, Beghi E, Bell B, Bell ML, Bello AK, Bennett DA, Bensenor IM, Berhane A, Bernabé E, Betsu BD, Beyene AS, Bhala N, Bhansali A, Bhatt S, Biadgilign S, Bikbov B, Bisanzio D, Bjertness E, Blore JD, Borschmann R, Boufous S, Bourne RRA, Brainin M, Brazinova A, Breitborde NJK, Brenner H, Broday DM, Brugha TS, Brunekreef B, Butt ZA, Cahill LE, Calabria B, Campos-Nonato IR, Cárdenas R, Carpenter DO, Carrero JJ, Casey DC, Castañeda-Orjuela CA, Rivas JC, Castro RE, Catalá-López F, Chang JC, Chiang PPC, Chibalabala M, Chimed-Ochir O, Chisumpa VH, Chitheer AA, Choi JYJ, Christensen H, Christopher DJ, Ciobanu LG, Coates MM, Colquhoun SM, Manzano AGC, Cooper LT, Cooperrider K, Cornaby L, Cortinovis M, Crump JA, Cuevas-Nasu L, Damasceno A, Dandona R, Darby SC, Dargan PI, das Neves J, Davis AC, Davletov K, de Castro EF, De la Cruz-Góngora V, De Leo D, Degenhardt L, Del Gobbo LC, del Pozo-Cruz B, Dellavalle RP, Deribew A, Jarlais DCD, Dharmaratne SD, Dhillon PK, Diaz-Torné C, Dicker D, Ding EL, Dorsey ER, Doyle KE, Driscoll TR, Duan L, Dubey M, Duncan BB, Elyazar I, Endries AY, Ermakov SP, Erskine HE, Eshrati B, Esteghamati A, Fahimi S, Faraon EJA, Farid TA, Farinha CSES, Faro A, Farvid MS, Farzadfar F, Feigin VL, Fereshtehnejad SM, Fernandes JG, Fischer F, Fitchett JRA, Fleming T, Foigt N, Foreman K, Fowkes FGR, Franklin RC, Fürst T, Futran ND, Gakidou E, Garcia-Basteiro AL, Gebrehiwot TT, Gebremedhin AT, Geleijnse JM, Gessner BD, Giref AZ, Giroud M, Gishu MD, Giussani G, Goenka S, Gomez-Cabrera MC, Gomez-Dantes H, Gona P, Goodridge A, Gopalani SV, Gotay CC, Goto A, Gouda HN, Gugnani HC, Guillemin F, Guo Y, Gupta R, Gupta R, Gutiérrez RA, Haagsma JA, Hafezi-Nejad N, Haile D, Hailu GB, Halasa YA, Hamadeh RR, Hamidi S, Handal AJ, Hankey GJ, Hao Y, Harb HL, Harikrishnan S, Haro JM, Hassanvand MS, Hassen TA, Havmoeller R, Heredia-Pi IB, Hernández-Llanes NF, Heydarpour P, Hoek HW, Hoffman HJ, Horino M, Horita N, Hosgood HD, Hoy DG, Hsairi M, Htet AS, Hu G, Huang JJ, Husseini A, Hutchings SJ, Huybrechts I, Iburg KM, Idrisov BT, Ileanu BV, Inoue M, Jacobs TA, Jacobsen KH, Jahanmehr N, Jakovljevic MB, Jansen HAFM, Jassal SK, Javanbakht M, Jayaraman SP, Jayatilleke AU, Jee SH, Jeemon P, Jha V, Jiang Y, Jibat T, Jin Y, Johnson CO, Jonas JB, Kabir Z, Kalkonde Y, Kamal R, Kan H, Karch A, Karema CK, Karimkhani C, Kasaeian A, Kaul A, Kawakami N, Kazi DS, Keiyoro PN, Kemmer L, Kemp AH, Kengne AP, Keren A, Kesavachandran CN, Khader YS, Khan AR, Khan EA, Khan G, Khang YH, Khatibzadeh S, Khera S, Khoja TAM, Khubchandani J, Kieling C, Kim CI, Kim D, Kimokoti RW, Kissoon N, Kivipelto M, Knibbs LD, Kokubo Y, Kopec JA, Koul PA, Koyanagi A, Kravchenko M, Kromhout H, Krueger H, Ku T, Defo BK, Kuchenbecker RS, Bicer BK, Kuipers EJ, Kumar GA, Kwan GF, Lal DK, Lalloo R, Lallukka T, Lan Q, Larsson A, Latif AA, Lawrynowicz AEB, Leasher JL, Leigh J, Leung J, Levi M, Li X, Li Y, Liang J, Liu S, Lloyd BK, Logroscino G, Lotufo PA, Lunevicius R, MacIntyre M, Mahdavi M, Majdan M, Majeed A, Malekzadeh R, Malta DC, Manamo WAA, Mapoma CC, Marcenes W, Martin RV, Martinez-Raga J, Masiye F, Matsushita K, Matzopoulos R, Mayosi BM, McGrath JJ, McKee M, Meaney PA, Medina C, Mehari A, Mejia-Rodriguez F, Mekonnen AB, Melaku YA, Memish ZA, Mendoza W, Mensink GBM, Meretoja A, Meretoja TJ, Mesfin YM, Mhimbira FA, Millear A, Miller TR, Mills EJ, Mirarefin M, Misganaw A, Mock CN, Mohammadi A, Mohammed S, Mola GLD, Monasta L, Hernandez JCM, Montico M, Morawska L, Mori R, Mozaffarian D, Mueller UO, Mullany E, Mumford JE, Murthy GVS, Nachega JB, Naheed A, Nangia V, Nassiri N, Newton JN, Ng M, Nguyen QL, Nisar MI, Pete PMN, Norheim OF, Norman RE, Norrving B, Nyakarahuka L, Obermeyer CM, Ogbo FA, Oh IH, Oladimeji O, Olivares PR, Olsen H, Olusanya BO, Olusanya JO, Opio JN, Oren E, Orozco R, Ortiz A, Ota E, PA M, Pana A, Park EK, Parry CD, Parsaeian M, Patel T, Caicedo AJP, Patil ST, Patten SB, Patton GC, Pearce N, Pereira DM, Perico N, Pesudovs K, Petzold M, Phillips MR, Piel FB, Pillay JD, Plass D, Polinder S, Pond CD, Pope CA, Pope D, Popova S, Poulton RG, Pourmalek F, Prasad NM, Qorbani M, Rabiee RHS, Radfar A, Rafay A, Rahimi-Movaghar V, Rahman M, Rahman MHU, Rahman SU, Rai RK, Rajsic S, Raju M, Ram U, Rana SM, Ranganathan K, Rao P, García CAR, Refaat AH, Rehm CD, Rehm J, Reinig N, Remuzzi G, Resnikoff S, Ribeiro AL, Rivera JA, Roba HS, Rodriguez A, Rodriguez-Ramirez S, Rojas-Rueda D, Roman Y, Ronfani L, Roshandel G, Rothenbacher D, Roy A, Saleh MM, Sanabria JR, Sanchez-Riera L, Sanchez-Niño MD, Sánchez-Pimienta TG, Sandar L, Santomauro DF, Santos IS, Sarmiento-Suarez R, Sartorius B, Satpathy M, Savic M, Sawhney M, Schmidhuber J, Schmidt MI, Schneider IJC, Schöttker B, Schutte AE, Schwebel DC, Scott JG, Seedat S, Sepanlou SG, Servan-Mori EE, Shaddick G, Shaheen A, Shahraz S, Shaikh MA, Levy TS, Sharma R, She J, Sheikhbahaei S, Shen J, Sheth KN, Shi P, Shibuya K, Shigematsu M, Shin MJ, Shiri R, Shishani K, Shiue I, Shrime MG, Sigfusdottir ID, Silva DAS, Silveira DGA, Silverberg JI, Simard EP, Sindi S, Singh A, Singh JA, Singh PK, Slepak EL, Soljak M, Soneji S, Sorensen RJD, Sposato LA, Sreeramareddy CT, Stathopoulou V, Steckling N, Steel N, Stein DJ, Stein MB, Stöckl H, Stranges S, Stroumpoulis K, Sunguya BF, Swaminathan S, Sykes BL, Szoeke CEI, Tabarés-Seisdedos R, Takahashi K, Talongwa RT, Tandon N, Tanne D, Tavakkoli M, Taye BW, Taylor HR, Tedla BA, Tefera WM, Tegegne TK, Tekle DY, Terkawi AS, Thakur JS, Thomas BA, Thomas ML, Thomson AJ, Thorne-Lyman AL, Thrift AG, Thurston GD, Tillmann T, Tobe-Gai R, Tobollik M, Topor-Madry R, Topouzis F, Towbin JA, Tran BX, Dimbuene ZT, Tsilimparis N, Tura AK, Tuzcu EM, Tyrovolas S, Ukwaja KN, Undurraga EA, Uneke CJ, Uthman OA, van Donkelaar A, van Os J, Varakin YY, Vasankari T, Veerman JL, Venketasubramanian N, Violante FS, Vollset SE, Wagner GR, Waller SG, Wang JL, Wang L, Wang Y, Weichenthal S, Weiderpass E, Weintraub RG, Werdecker A, Westerman R, Whiteford HA, Wijeratne T, Wiysonge CS, Wolfe CDA, Won S, Woolf AD, Wubshet M, Xavier D, Xu G, Yadav AK, Yakob B, Yalew AZ, Yano Y, Yaseri M, Ye P, Yip P, Yonemoto N, Yoon SJ, Younis MZ, Yu C, Zaidi Z, Zaki MES, Zhu J, Zipkin B, Zodpey S, Zuhlke LJ, Murray CJL. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 2016; 388:1659-1724. [PMID: 27733284 PMCID: PMC5388856 DOI: 10.1016/s0140-6736(16)31679-8] [Citation(s) in RCA: 2719] [Impact Index Per Article: 339.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Revised: 08/13/2016] [Accepted: 08/19/2016] [Indexed: 12/30/2022]
Abstract
BACKGROUND The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden of disease. By providing national and subnational assessments spanning the past 25 years, this study can inform debates on the importance of addressing risks in context. METHODS We used the comparative risk assessment framework developed for previous iterations of the Global Burden of Disease Study to estimate attributable deaths, disability-adjusted life-years (DALYs), and trends in exposure by age group, sex, year, and geography for 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks from 1990 to 2015. This study included 388 risk-outcome pairs that met World Cancer Research Fund-defined criteria for convincing or probable evidence. We extracted relative risk and exposure estimates from randomised controlled trials, cohorts, pooled cohorts, household surveys, census data, satellite data, and other sources. We used statistical models to pool data, adjust for bias, and incorporate covariates. We developed a metric that allows comparisons of exposure across risk factors-the summary exposure value. Using the counterfactual scenario of theoretical minimum risk level, we estimated the portion of deaths and DALYs that could be attributed to a given risk. We decomposed trends in attributable burden into contributions from population growth, population age structure, risk exposure, and risk-deleted cause-specific DALY rates. We characterised risk exposure in relation to a Socio-demographic Index (SDI). FINDINGS Between 1990 and 2015, global exposure to unsafe sanitation, household air pollution, childhood underweight, childhood stunting, and smoking each decreased by more than 25%. Global exposure for several occupational risks, high body-mass index (BMI), and drug use increased by more than 25% over the same period. All risks jointly evaluated in 2015 accounted for 57·8% (95% CI 56·6-58·8) of global deaths and 41·2% (39·8-42·8) of DALYs. In 2015, the ten largest contributors to global DALYs among Level 3 risks were high systolic blood pressure (211·8 million [192·7 million to 231·1 million] global DALYs), smoking (148·6 million [134·2 million to 163·1 million]), high fasting plasma glucose (143·1 million [125·1 million to 163·5 million]), high BMI (120·1 million [83·8 million to 158·4 million]), childhood undernutrition (113·3 million [103·9 million to 123·4 million]), ambient particulate matter (103·1 million [90·8 million to 115·1 million]), high total cholesterol (88·7 million [74·6 million to 105·7 million]), household air pollution (85·6 million [66·7 million to 106·1 million]), alcohol use (85·0 million [77·2 million to 93·0 million]), and diets high in sodium (83·0 million [49·3 million to 127·5 million]). From 1990 to 2015, attributable DALYs declined for micronutrient deficiencies, childhood undernutrition, unsafe sanitation and water, and household air pollution; reductions in risk-deleted DALY rates rather than reductions in exposure drove these declines. Rising exposure contributed to notable increases in attributable DALYs from high BMI, high fasting plasma glucose, occupational carcinogens, and drug use. Environmental risks and childhood undernutrition declined steadily with SDI; low physical activity, high BMI, and high fasting plasma glucose increased with SDI. In 119 countries, metabolic risks, such as high BMI and fasting plasma glucose, contributed the most attributable DALYs in 2015. Regionally, smoking still ranked among the leading five risk factors for attributable DALYs in 109 countries; childhood underweight and unsafe sex remained primary drivers of early death and disability in much of sub-Saharan Africa. INTERPRETATION Declines in some key environmental risks have contributed to declines in critical infectious diseases. Some risks appear to be invariant to SDI. Increasing risks, including high BMI, high fasting plasma glucose, drug use, and some occupational exposures, contribute to rising burden from some conditions, but also provide opportunities for intervention. Some highly preventable risks, such as smoking, remain major causes of attributable DALYs, even as exposure is declining. Public policy makers need to pay attention to the risks that are increasingly major contributors to global burden. FUNDING Bill & Melinda Gates Foundation.
Collapse
|
19
|
Forouzanfar MH, Alexander L, Anderson HR, Bachman VF, Biryukov S, Brauer M, Burnett R, Casey D, Coates MM, Cohen A, Delwiche K, Estep K, Frostad JJ, Astha KC, Kyu HH, Moradi-Lakeh M, Ng M, Slepak EL, Thomas BA, Wagner J, Aasvang GM, Abbafati C, Abbasoglu Ozgoren A, Abd-Allah F, Abera SF, Aboyans V, Abraham B, Abraham JP, Abubakar I, Abu-Rmeileh NME, Aburto TC, Achoki T, Adelekan A, Adofo K, Adou AK, Adsuar JC, Afshin A, Agardh EE, Al Khabouri MJ, Al Lami FH, Alam SS, Alasfoor D, Albittar MI, Alegretti MA, Aleman AV, Alemu ZA, Alfonso-Cristancho R, Alhabib S, Ali R, Ali MK, Alla F, Allebeck P, Allen PJ, Alsharif U, Alvarez E, Alvis-Guzman N, Amankwaa AA, Amare AT, Ameh EA, Ameli O, Amini H, Ammar W, Anderson BO, Antonio CAT, Anwari P, Argeseanu Cunningham S, Arnlöv J, Arsenijevic VSA, Artaman A, Asghar RJ, Assadi R, Atkins LS, Atkinson C, Avila MA, Awuah B, Badawi A, Bahit MC, Bakfalouni T, Balakrishnan K, Balalla S, Balu RK, Banerjee A, Barber RM, Barker-Collo SL, Barquera S, Barregard L, Barrero LH, Barrientos-Gutierrez T, Basto-Abreu AC, Basu A, Basu S, Basulaiman MO, Batis Ruvalcaba C, Beardsley J, Bedi N, Bekele T, Bell ML, Benjet C, Bennett DA, Benzian H, Bernabé E, Beyene TJ, Bhala N, Bhalla A, Bhutta ZA, Bikbov B, Bin Abdulhak AA, Blore JD, Blyth FM, Bohensky MA, Bora Başara B, Borges G, Bornstein NM, Bose D, Boufous S, Bourne RR, Brainin M, Brazinova A, Breitborde NJ, Brenner H, Briggs ADM, Broday DM, Brooks PM, Bruce NG, Brugha TS, Brunekreef B, Buchbinder R, Bui LN, Bukhman G, Bulloch AG, Burch M, Burney PGJ, Campos-Nonato IR, Campuzano JC, Cantoral AJ, Caravanos J, Cárdenas R, Cardis E, Carpenter DO, Caso V, Castañeda-Orjuela CA, Castro RE, Catalá-López F, Cavalleri F, Çavlin A, Chadha VK, Chang JC, Charlson FJ, Chen H, Chen W, Chen Z, Chiang PP, Chimed-Ochir O, Chowdhury R, Christophi CA, Chuang TW, Chugh SS, Cirillo M, Claßen TKD, Colistro V, Colomar M, Colquhoun SM, Contreras AG, Cooper C, Cooperrider K, Cooper LT, Coresh J, Courville KJ, Criqui MH, Cuevas-Nasu L, Damsere-Derry J, Danawi H, Dandona L, Dandona R, Dargan PI, Davis A, Davitoiu DV, Dayama A, de Castro EF, De la Cruz-Góngora V, De Leo D, de Lima G, Degenhardt L, del Pozo-Cruz B, Dellavalle RP, Deribe K, Derrett S, Des Jarlais DC, Dessalegn M, deVeber GA, Devries KM, Dharmaratne SD, Dherani MK, Dicker D, Ding EL, Dokova K, Dorsey ER, Driscoll TR, Duan L, Durrani AM, Ebel BE, Ellenbogen RG, Elshrek YM, Endres M, Ermakov SP, Erskine HE, Eshrati B, Esteghamati A, Fahimi S, Faraon EJA, Farzadfar F, Fay DFJ, Feigin VL, Feigl AB, Fereshtehnejad SM, Ferrari AJ, Ferri CP, Flaxman AD, Fleming TD, Foigt N, Foreman KJ, Paleo UF, Franklin RC, Gabbe B, Gaffikin L, Gakidou E, Gamkrelidze A, Gankpé FG, Gansevoort RT, García-Guerra FA, Gasana E, Geleijnse JM, Gessner BD, Gething P, Gibney KB, Gillum RF, Ginawi IAM, Giroud M, Giussani G, Goenka S, Goginashvili K, Gomez Dantes H, Gona P, Gonzalez de Cosio T, González-Castell D, Gotay CC, Goto A, Gouda HN, Guerrant RL, Gugnani HC, Guillemin F, Gunnell D, Gupta R, Gupta R, Gutiérrez RA, Hafezi-Nejad N, Hagan H, Hagstromer M, Halasa YA, Hamadeh RR, Hammami M, Hankey GJ, Hao Y, Harb HL, Haregu TN, Haro JM, Havmoeller R, Hay SI, Hedayati MT, Heredia-Pi IB, Hernandez L, Heuton KR, Heydarpour P, Hijar M, Hoek HW, Hoffman HJ, Hornberger JC, Hosgood HD, Hoy DG, Hsairi M, Hu G, Hu H, Huang C, Huang JJ, Hubbell BJ, Huiart L, Husseini A, Iannarone ML, Iburg KM, Idrisov BT, Ikeda N, Innos K, Inoue M, Islami F, Ismayilova S, Jacobsen KH, Jansen HA, Jarvis DL, Jassal SK, Jauregui A, Jayaraman S, Jeemon P, Jensen PN, Jha V, Jiang F, Jiang G, Jiang Y, Jonas JB, Juel K, Kan H, Kany Roseline SS, Karam NE, Karch A, Karema CK, Karthikeyan G, Kaul A, Kawakami N, Kazi DS, Kemp AH, Kengne AP, Keren A, Khader YS, Khalifa SEAH, Khan EA, Khang YH, Khatibzadeh S, Khonelidze I, Kieling C, Kim D, Kim S, Kim Y, Kimokoti RW, Kinfu Y, Kinge JM, Kissela BM, Kivipelto M, Knibbs LD, Knudsen AK, Kokubo Y, Kose MR, Kosen S, Kraemer A, Kravchenko M, Krishnaswami S, Kromhout H, Ku T, Kuate Defo B, Kucuk Bicer B, Kuipers EJ, Kulkarni C, Kulkarni VS, Kumar GA, Kwan GF, Lai T, Lakshmana Balaji A, Lalloo R, Lallukka T, Lam H, Lan Q, Lansingh VC, Larson HJ, Larsson A, Laryea DO, Lavados PM, Lawrynowicz AE, Leasher JL, Lee JT, Leigh J, Leung R, Levi M, Li Y, Li Y, Liang J, Liang X, Lim SS, Lindsay MP, Lipshultz SE, Liu S, Liu Y, Lloyd BK, Logroscino G, London SJ, Lopez N, Lortet-Tieulent J, Lotufo PA, Lozano R, Lunevicius R, Ma J, Ma S, Machado VMP, MacIntyre MF, Magis-Rodriguez C, Mahdi AA, Majdan M, Malekzadeh R, Mangalam S, Mapoma CC, Marape M, Marcenes W, Margolis DJ, Margono C, Marks GB, Martin RV, Marzan MB, Mashal MT, Masiye F, Mason-Jones AJ, Matsushita K, Matzopoulos R, Mayosi BM, Mazorodze TT, McKay AC, McKee M, McLain A, Meaney PA, Medina C, Mehndiratta MM, Mejia-Rodriguez F, Mekonnen W, Melaku YA, Meltzer M, Memish ZA, Mendoza W, Mensah GA, Meretoja A, Mhimbira FA, Micha R, Miller TR, Mills EJ, Misganaw A, Mishra S, Mohamed Ibrahim N, Mohammad KA, Mokdad AH, Mola GL, Monasta L, Montañez Hernandez JC, Montico M, Moore AR, Morawska L, Mori R, Moschandreas J, Moturi WN, Mozaffarian D, Mueller UO, Mukaigawara M, Mullany EC, Murthy KS, Naghavi M, Nahas Z, Naheed A, Naidoo KS, Naldi L, Nand D, Nangia V, Narayan KMV, Nash D, Neal B, Nejjari C, Neupane SP, Newton CR, Ngalesoni FN, Ngirabega JDD, Nguyen G, Nguyen NT, Nieuwenhuijsen MJ, Nisar MI, Nogueira JR, Nolla JM, Nolte S, Norheim OF, Norman RE, Norrving B, Nyakarahuka L, Oh IH, Ohkubo T, Olusanya BO, Omer SB, Opio JN, Orozco R, Pagcatipunan RS, Pain AW, Pandian JD, Panelo CIA, Papachristou C, Park EK, Parry CD, Paternina Caicedo AJ, Patten SB, Paul VK, Pavlin BI, Pearce N, Pedraza LS, Pedroza A, Pejin Stokic L, Pekericli A, Pereira DM, Perez-Padilla R, Perez-Ruiz F, Perico N, Perry SAL, Pervaiz A, Pesudovs K, Peterson CB, Petzold M, Phillips MR, Phua HP, Plass D, Poenaru D, Polanczyk GV, Polinder S, Pond CD, Pope CA, Pope D, Popova S, Pourmalek F, Powles J, Prabhakaran D, Prasad NM, Qato DM, Quezada AD, Quistberg DAA, Racapé L, Rafay A, Rahimi K, Rahimi-Movaghar V, Rahman SU, Raju M, Rakovac I, Rana SM, Rao M, Razavi H, Reddy KS, Refaat AH, Rehm J, Remuzzi G, Ribeiro AL, Riccio PM, Richardson L, Riederer A, Robinson M, Roca A, Rodriguez A, Rojas-Rueda D, Romieu I, Ronfani L, Room R, Roy N, Ruhago GM, Rushton L, Sabin N, Sacco RL, Saha S, Sahathevan R, Sahraian MA, Salomon JA, Salvo D, Sampson UK, Sanabria JR, Sanchez LM, Sánchez-Pimienta TG, Sanchez-Riera L, Sandar L, Santos IS, Sapkota A, Satpathy M, Saunders JE, Sawhney M, Saylan MI, Scarborough P, Schmidt JC, Schneider IJC, Schöttker B, Schwebel DC, Scott JG, Seedat S, Sepanlou SG, Serdar B, Servan-Mori EE, Shaddick G, Shahraz S, Levy TS, Shangguan S, She J, Sheikhbahaei S, Shibuya K, Shin HH, Shinohara Y, Shiri R, Shishani K, Shiue I, Sigfusdottir ID, Silberberg DH, Simard EP, Sindi S, Singh A, Singh GM, Singh JA, Skirbekk V, Sliwa K, Soljak M, Soneji S, Søreide K, Soshnikov S, Sposato LA, Sreeramareddy CT, Stapelberg NJC, Stathopoulou V, Steckling N, Stein DJ, Stein MB, Stephens N, Stöckl H, Straif K, Stroumpoulis K, Sturua L, Sunguya BF, Swaminathan S, Swaroop M, Sykes BL, Tabb KM, Takahashi K, Talongwa RT, Tandon N, Tanne D, Tanner M, Tavakkoli M, Te Ao BJ, Teixeira CM, Téllez Rojo MM, Terkawi AS, Texcalac-Sangrador JL, Thackway SV, Thomson B, Thorne-Lyman AL, Thrift AG, Thurston GD, Tillmann T, Tobollik M, Tonelli M, Topouzis F, Towbin JA, Toyoshima H, Traebert J, Tran BX, Trasande L, Trillini M, Trujillo U, Dimbuene ZT, Tsilimbaris M, Tuzcu EM, Uchendu US, Ukwaja KN, Uzun SB, van de Vijver S, Van Dingenen R, van Gool CH, van Os J, Varakin YY, Vasankari TJ, Vasconcelos AMN, Vavilala MS, Veerman LJ, Velasquez-Melendez G, Venketasubramanian N, Vijayakumar L, Villalpando S, Violante FS, Vlassov VV, Vollset SE, Wagner GR, Waller SG, Wallin MT, Wan X, Wang H, Wang J, Wang L, Wang W, Wang Y, Warouw TS, Watts CH, Weichenthal S, Weiderpass E, Weintraub RG, Werdecker A, Wessells KR, Westerman R, Whiteford HA, Wilkinson JD, Williams HC, Williams TN, Woldeyohannes SM, Wolfe CDA, Wong JQ, Woolf AD, Wright JL, Wurtz B, Xu G, Yan LL, Yang G, Yano Y, Ye P, Yenesew M, Yentür GK, Yip P, Yonemoto N, Yoon SJ, Younis MZ, Younoussi Z, Yu C, Zaki ME, Zhao Y, Zheng Y, Zhou M, Zhu J, Zhu S, Zou X, Zunt JR, Lopez AD, Vos T, Murray CJ. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015; 386:2287-323. [PMID: 26364544 PMCID: PMC4685753 DOI: 10.1016/s0140-6736(15)00128-2] [Citation(s) in RCA: 1751] [Impact Index Per Article: 194.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
BACKGROUND The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. METHODS Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk-outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990-2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the first level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular filtration rate. For most risks, data for exposure were synthesised with a Bayesian meta-regression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. FINDINGS All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8-58·5) of deaths and 41·6% (40·1-43·0) of DALYs. Risks quantified account for 87·9% (86·5-89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. INTERPRETATION Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks. FUNDING Bill & Melinda Gates Foundation.
Collapse
|