One simple claudication question as first step in Peripheral Arterial Disease (PAD) screening: A meta-analysis of the association with reduced Ankle Brachial Index (ABI) in 27,945 subjects
Autoři:
Arne Georg Kieback aff001; Christine Espinola-Klein aff002; Claudia Lamina aff003; Susanne Moebus aff004; Daniel Tiller aff005; Roberto Lorbeer aff006; Andreas Schulz aff007; Christa Meisinger aff008; Daniel Medenwald aff005; Raimund Erbel aff004; Alexander Kluttig aff005; Philipp S. Wild aff010; Florian Kronenberg aff003; Knut Kröger aff013; Till Ittermann aff014; Marcus Dörr aff015
Působiště autorů:
Kantonsspital Aarau- Medizinische Universitätsklinik, Angiologie, Aarau, Switzerland
aff001; University Medicine Mainz—Department of Angiology, Mainz, Germany
aff002; Medical University of Innsbruck—Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Innsbruck, Austria
aff003; Universitätsklinikum Essen (AöR), Institut für Medizinische Informatik, Biometrie und Epidemiologie (IMIBE), Essen, Germany
aff004; Martin-Luther-University Halle-Wittenberg—Institute of Medical Epidemiology, Biostatistics and Informatics, Halle (Saale), Germany
aff005; Ludwig Maximilian University Hospital—Department of Clinical Radiology, Munich, Germany
aff006; University Medical Center of the Johannes Gutenberg-University Mainz, Center for Cardiology I, Mainz, Germany
aff007; Helmholtz Zentrum München—German Research Center for Environmental Health (GmbH)—Institute of Epidemiology II, Neuherberg, Germany
aff008; Chair of Epidemiology, Ludwig-Maximilians-Universität München, UNIKA-T Augsburg Augsburg, Germany
aff009; University Medical Center of the Johannes Gutenberg-University Mainz, Preventive Cardiology and Preventive Medicine, Center for Cardiology, Mainz, Germany
aff010; University Medical Center of the Johannes Gutenberg-University Mainz, Center for Thrombosis and Hemostasis (CTH), Mainz, Germany
aff011; DZHK (German Center for Cardiovascular Research), partner site RhineMain, Mainz, Germany
aff012; Helios Klinikum Krefeld—Klinik für Gefäßmedizin, Krefeld, Germany
aff013; University Medicine Greifswald, Institute for Community Medicine, Greifswald, Germany
aff014; DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
aff015; University Medicine Greifswald, Department of Internal Medicine B, Greifswald, Germany
aff016
Vyšlo v časopise:
PLoS ONE 14(11)
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pone.0224608
Souhrn
Purpose and methods
A meta-analysis using data from seven German population-based cohorts was performed by the German Epidemiological consortium of Peripheral Arterial Disease (GEPArD) to investigate whether one question about claudication is more efficient for PAD screening than established questionnaires. Claudication was defined on the basis of the answer to one question asking for pain in the leg during normal walking. This simple question was compared with established questionnaires, including the Edinburgh questionnaire. The associations of claudication with continuous ABI values and decreased ABI were analyzed by linear and logistic regression analysis, respectively. The results of the studies were pooled in a random effect meta-analysis, which included data from 27,945 individuals (14,052 women, age range 20–84 years).
Results
Meta-analysis revealed a significant negative association between claudication and ABI, which was stronger in men (β = -0.07; 95%CI -0.10, -0.04) than in women (β = -0.02; 95%CI -0.02, -0.01). Likewise, the presence of claudication symptoms was related to an increased odds of a decreased ABI in both men (Odds ratio = 5.40; 95%CI 4.20, 6.96) and women (Odds ratio = 1.99; 95%CI 1.58, 2.51).
Conclusions
Asking only one question about claudication was able to identify many individuals with a high likelihood of a reduced ABI with markedly higher sensitivity and only slightly reduced specificity compared to more complex questionnaires. At least in men, this question should be established as first screening step.
Klíčová slova:
Death rates – Physicians – General practitioners – Questionnaires – Walking – Peripheral vascular disease
Zdroje
1. Aboyans V, Ricco JB, Bartelink MEL, Bjorck M, Brodmann M, Cohnert T, et al. 2017 ESC Guidelines on the Diagnosis and Treatment of Peripheral Arterial Diseases, in collaboration with the European Society for Vascular Surgery (ESVS): Document covering atherosclerotic disease of extracranial carotid and vertebral, mesenteric, renal, upper and lower extremity arteriesEndorsed by: the European Stroke Organization (ESO)The Task Force for the Diagnosis and Treatment of Peripheral Arterial Diseases of the European Society of Cardiology (ESC) and of the European Society for Vascular Surgery (ESVS). Eur Heart J. 2017. doi: 10.1093/eurheartj/ehx095 28886620.
2. Gerhard-Herman MD, Gornik HL, Barrett C, Barshes NR, Corriere MA, Drachman DE, et al. 2016 AHA/ACC Guideline on the Management of Patients With Lower Extremity Peripheral Artery Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol. 2017;69(11):e71–e126. doi: 10.1016/j.jacc.2016.11.007 27851992.
3. Fowkes FG, Rudan D, Rudan I, Aboyans V, Denenberg JO, McDermott MM, et al. Comparison of global estimates of prevalence and risk factors for peripheral artery disease in 2000 and 2010: a systematic review and analysis. Lancet. 2013;382(9901):1329–40. doi: 10.1016/S0140-6736(13)61249-0 23915883.
4. Hiatt WR, Fowkes FG, Heizer G, Berger JS, Baumgartner I, Held P, et al. Ticagrelor versus Clopidogrel in Symptomatic Peripheral Artery Disease. N Engl J Med. 2017;376(1):32–40. doi: 10.1056/NEJMoa1611688 27959717.
5. Kumbhani DJ, Steg PG, Cannon CP, Eagle KA, Smith SC Jr., Goto S, et al. Statin therapy and long-term adverse limb outcomes in patients with peripheral artery disease: insights from the REACH registry. Eur Heart J. 2014;35(41):2864–72. doi: 10.1093/eurheartj/ehu080 24585266; PubMed Central PMCID: PMC4216432.
6. Bonaca MP, Nault P, Giugliano RP, Keech AC, Pineda AL, Kanevsky E, et al. Low-Density Lipoprotein Cholesterol Lowering With Evolocumab and Outcomes in Patients With Peripheral Artery Disease: Insights From the FOURIER Trial (Further Cardiovascular Outcomes Research With PCSK9 Inhibition in Subjects With Elevated Risk). Circulation. 2017. doi: 10.1161/CIRCULATIONAHA.117.032235 29133605.
7. Charasson M, Mahe G, Le Brun C, Jaquinandi V, Rossignol E, Le Faucheur A, et al. Atherosclerosis knowledge—diagnosis and management in primary care. Vasa. 2018;47(6):465–70. doi: 10.1024/0301-1526/a000727 30047837.
8. Alahdab F, Wang AT, Elraiyah TA, Malgor RD, Rizvi AZ, Lane MA, et al. A systematic review for the screening for peripheral arterial disease in asymptomatic patients. J Vasc Surg. 2015;61(3 Suppl):42S–53S. doi: 10.1016/j.jvs.2014.12.008 25721066.
9. Lindholt JS, Sogaard R. Population screening and intervention for vascular disease in Danish men (VIVA): a randomised controlled trial. Lancet. 2017;390(10109):2256–65. doi: 10.1016/S0140-6736(17)32250-X 28859943.
10. Diehm C, Lange S, Darius H, Pittrow D, von Stritzky B, Tepohl G, et al. Association of low ankle brachial index with high mortality in primary care. Eur Heart J. 2006;27(14):1743–9. doi: 10.1093/eurheartj/ehl092 16782720.
11. European Stroke O, Tendera M, Aboyans V, Bartelink ML, Baumgartner I, Clement D, et al. ESC Guidelines on the diagnosis and treatment of peripheral artery diseases: Document covering atherosclerotic disease of extracranial carotid and vertebral, mesenteric, renal, upper and lower extremity arteries: the Task Force on the Diagnosis and Treatment of Peripheral Artery Diseases of the European Society of Cardiology (ESC). Eur Heart J. 2011;32(22):2851–906. doi: 10.1093/eurheartj/ehr211 21873417.
12. Kieback AG, Lorbeer R, Wallaschofski H, Ittermann T, Volzke H, Felix S, et al. Claudication, in contrast to angina pectoris, independently predicts mortality risk in the general population. Vasa. 2012;41(2):105–13. doi: 10.1024/0301-1526/a000172 22403128.
13. Bowlin SJ, Medalie JH, Flocke SA, Zyzanski SJ, Yaari S, Goldbourt U. Intermittent claudication in 8343 men and 21-year specific mortality follow-up. Ann Epidemiol. 1997;7(3):180–7. doi: 10.1016/s1047-2797(96)00148-2 9141640.
14. Kollerits B, Heinrich J, Pichler M, Rantner B, Klein-Weigel P, Wolke G, et al. Intermittent claudication in the Erfurt Male Cohort (ERFORT) Study: its determinants and the impact on mortality. A population-based prospective cohort study with 30 years of follow-up. Atherosclerosis. 2008;198(1):214–22. doi: 10.1016/j.atherosclerosis.2007.09.012 17950299.
15. Reunanen A, Takkunen H, Aromaa A. Prevalence of intermittent claudication and its effect on mortality. Acta Med Scand. 1982;211(4):249–56. doi: 10.1111/j.0954-6820.1982.tb01939.x 7102362.
16. Simonsick EM, Guralnik JM, Hennekens CH, Wallace RB, Ostfeld AM. Intermittent claudication and subsequent cardiovascular disease in the elderly. J Gerontol A Biol Sci Med Sci. 1995;50A(1):M17–22. doi: 10.1093/gerona/50a.1.m17 7814784.
17. Smith GD, Shipley MJ, Rose G. Intermittent claudication, heart disease risk factors, and mortality. The Whitehall Study. Circulation. 1990;82(6):1925–31. doi: 10.1161/01.cir.82.6.1925 2242518.
18. Laschkolnig A, Kollerits B, Lamina C, Meisinger C, Rantner B, Stadler M, et al. Lipoprotein (a) concentrations, apolipoprotein (a) phenotypes, and peripheral arterial disease in three independent cohorts. Cardiovasc Res. 2014;103(1):28–36. doi: 10.1093/cvr/cvu107 24760552; PubMed Central PMCID: PMC4065111.
19. Kannel WB, Evans JC, Piper S, Murabito JM. Angina pectoris is a stronger indicator of diffuse vascular atherosclerosis than intermittent claudication: Framingham study. J Clin Epidemiol. 2008;61(9):951–7. doi: 10.1016/j.jclinepi.2007.10.025 18495425; PubMed Central PMCID: PMC3898849.
20. Kannel WB, McGee DL. Update on some epidemiologic features of intermittent claudication: the Framingham Study. J Am Geriatr Soc. 1985;33(1):13–8. doi: 10.1111/j.1532-5415.1985.tb02853.x 3965550.
21. Murabito JM, D'Agostino RB, Silbershatz H, Wilson WF. Intermittent claudication. A risk profile from The Framingham Heart Study. Circulation. 1997;96(1):44–9. doi: 10.1161/01.cir.96.1.44 9236415.
22. Rose GA. The diagnosis of ischaemic heart pain and intermittent claudication in field surveys. Bull World Health Organ. 1962;27:645–58. 13974778; PubMed Central PMCID: PMC2555832.
23. Leng GC, Fowkes FG. The Edinburgh Claudication Questionnaire: an improved version of the WHO/Rose Questionnaire for use in epidemiological surveys. J Clin Epidemiol. 1992;45(10):1101–9. doi: 10.1016/0895-4356(92)90150-l 1474406.
24. Greiser KH, Kluttig A, Schumann B, Kors JA, Swenne CA, Kuss O, et al. Cardiovascular disease, risk factors and heart rate variability in the elderly general population: design and objectives of the CARdiovascular disease, Living and Ageing in Halle (CARLA) Study. BMC Cardiovasc Disord. 2005;5:33. doi: 10.1186/1471-2261-5-33 16283930; PubMed Central PMCID: PMC1299322.
25. Wild PS, Zeller T, Beutel M, Blettner M, Dugi KA, Lackner KJ, et al. [The Gutenberg Health Study]. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2012;55(6–7):824–9. doi: 10.1007/s00103-012-1502-7 22736163.
26. Sinning C, Wild PS, Echevarria FM, Wilde S, Schnabel R, Lubos E, et al. Sex differences in early carotid atherosclerosis (from the community-based Gutenberg-Heart Study). Am J Cardiol. 2011;107(12):1841–7. doi: 10.1016/j.amjcard.2011.02.318 21481827.
27. Stang A, Moebus S, Dragano N, Beck EM, Mohlenkamp S, Schmermund A, et al. Baseline recruitment and analyses of nonresponse of the Heinz Nixdorf Recall Study: identifiability of phone numbers as the major determinant of response. Eur J Epidemiol. 2005;20(6):489–96. doi: 10.1007/s10654-005-5529-z 16121757.
28. Schmermund A, Mohlenkamp S, Stang A, Gronemeyer D, Seibel R, Hirche H, et al. Assessment of clinically silent atherosclerotic disease and established and novel risk factors for predicting myocardial infarction and cardiac death in healthy middle-aged subjects: rationale and design of the Heinz Nixdorf RECALL Study. Risk Factors, Evaluation of Coronary Calcium and Lifestyle. Am Heart J. 2002;144(2):212–8. doi: 10.1067/mhj.2002.123579 12177636.
29. Holle R, Happich M, Lowel H, Wichmann HE, Group MKS. KORA—a research platform for population based health research. Gesundheitswesen. 2005;67 Suppl 1:S19–25. doi: 10.1055/s-2005-858235 16032513.
30. Meisinger C, Thorand B, Schneider A, Stieber J, Doring A, Lowel H. Sex differences in risk factors for incident type 2 diabetes mellitus: the MONICA Augsburg cohort study. Arch Intern Med. 2002;162(1):82–9. doi: 10.1001/archinte.162.1.82 11784224.
31. Volzke H, Alte D, Schmidt CO, Radke D, Lorbeer R, Friedrich N, et al. Cohort profile: the study of health in Pomerania. Int J Epidemiol. 2011;40(2):294–307. doi: 10.1093/ije/dyp394 20167617.
32. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–60. doi: 10.1136/bmj.327.7414.557 12958120; PubMed Central PMCID: PMC192859.
33. Anand SS, Bosch J, Eikelboom JW, Connolly SJ, Diaz R, Widimsky P, et al. Rivaroxaban with or without aspirin in patients with stable peripheral or carotid artery disease: an international, randomised, double-blind, placebo-controlled trial. Lancet. 2017. doi: 10.1016/S0140-6736(17)32409-1. 29132880.
34. Matsushita K, Ballew SH, Coresh J, Arima H, Arnlov J, Cirillo M, et al. Measures of chronic kidney disease and risk of incident peripheral artery disease: a collaborative meta-analysis of individual participant data. Lancet Diabetes Endocrinol. 2017;5(9):718–28. doi: 10.1016/S2213-8587(17)30183-3 28716631; PubMed Central PMCID: PMC5649254.
35. Criqui MH, Aboyans V. Epidemiology of peripheral artery disease. Circ Res. 2015;116(9):1509–26. doi: 10.1161/CIRCRESAHA.116.303849 25908725.
36. Zhan Y, Zhuang J, Dong Y, Xu H, Hu D, Yu J. Predicting the prevalence of peripheral arterial diseases: modelling and validation in different cohorts. Vasa. 2016;45(1):31–6. doi: 10.1024/0301-1526/a000492 26986707.
37. Espinola-Klein C, Rupprecht HJ, Bickel C, Lackner K, Savvidis S, Messow CM, et al. Different calculations of ankle-brachial index and their impact on cardiovascular risk prediction. Circulation. 2008;118(9):961–7. doi: 10.1161/CIRCULATIONAHA.107.763227 18697822.
38. Tsai JC, Chan P, Wang CH, Jeng C, Hsieh MH, Kao PF, et al. The effects of exercise training on walking function and perception of health status in elderly patients with peripheral arterial occlusive disease. J Intern Med. 2002;252(5):448–55. doi: 10.1046/j.1365-2796.2002.01055.x 12528763.
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