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
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. Claudicatio...
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Published in | PloS one Vol. 14; no. 11; p. e0224608 |
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Main Authors | , , , , , , , , , , , , , , , |
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04.11.2019
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Abstract | 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).
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).
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. |
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AbstractList | 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. 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). 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). 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. 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).PURPOSE AND METHODSA 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).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).RESULTSMeta-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).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.CONCLUSIONSAsking 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. 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. |
Author | Medenwald, Daniel Kronenberg, Florian Schulz, Andreas Tiller, Daniel Dörr, Marcus Lamina, Claudia Erbel, Raimund Kröger, Knut Ittermann, Till Moebus, Susanne Lorbeer, Roberto Meisinger, Christa Kluttig, Alexander Espinola-Klein, Christine Wild, Philipp S. Kieback, Arne Georg |
AuthorAffiliation | 9 Chair of Epidemiology, Ludwig-Maximilians-Universität München, UNIKA-T Augsburg Augsburg, Germany 1 Kantonsspital Aarau- Medizinische Universitätsklinik, Angiologie, Aarau, Switzerland 13 Helios Klinikum Krefeld—Klinik für Gefäßmedizin, Krefeld, Germany 11 University Medical Center of the Johannes Gutenberg-University Mainz, Center for Thrombosis and Hemostasis (CTH), Mainz, Germany 5 Martin-Luther-University Halle-Wittenberg—Institute of Medical Epidemiology, Biostatistics and Informatics, Halle (Saale), Germany 12 DZHK (German Center for Cardiovascular Research), partner site RhineMain, Mainz, Germany 6 Ludwig Maximilian University Hospital—Department of Clinical Radiology, Munich, Germany 14 University Medicine Greifswald, Institute for Community Medicine, Greifswald, Germany NIHR Leicester Biomedical Research Centre, UNITED KINGDOM 3 Medical University of Innsbruck—Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Innsbruck, Austria 2 University Medicine Mainz—Dep |
AuthorAffiliation_xml | – name: 15 DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany – name: 9 Chair of Epidemiology, Ludwig-Maximilians-Universität München, UNIKA-T Augsburg Augsburg, Germany – name: 1 Kantonsspital Aarau- Medizinische Universitätsklinik, Angiologie, Aarau, Switzerland – name: 7 University Medical Center of the Johannes Gutenberg-University Mainz, Center for Cardiology I, Mainz, Germany – name: 14 University Medicine Greifswald, Institute for Community Medicine, Greifswald, Germany – name: 6 Ludwig Maximilian University Hospital—Department of Clinical Radiology, Munich, Germany – name: 11 University Medical Center of the Johannes Gutenberg-University Mainz, Center for Thrombosis and Hemostasis (CTH), Mainz, Germany – name: NIHR Leicester Biomedical Research Centre, UNITED KINGDOM – name: 12 DZHK (German Center for Cardiovascular Research), partner site RhineMain, Mainz, Germany – name: 8 Helmholtz Zentrum München—German Research Center for Environmental Health (GmbH)—Institute of Epidemiology II, Neuherberg, Germany – name: 13 Helios Klinikum Krefeld—Klinik für Gefäßmedizin, Krefeld, Germany – name: 16 University Medicine Greifswald, Department of Internal Medicine B, Greifswald, Germany – name: 4 Universitätsklinikum Essen (AöR), Institut für Medizinische Informatik, Biometrie und Epidemiologie (IMIBE), Essen, Germany – name: 5 Martin-Luther-University Halle-Wittenberg—Institute of Medical Epidemiology, Biostatistics and Informatics, Halle (Saale), Germany – name: 10 University Medical Center of the Johannes Gutenberg-University Mainz, Preventive Cardiology and Preventive Medicine, Center for Cardiology, Mainz, Germany – name: 3 Medical University of Innsbruck—Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Innsbruck, Austria – name: 2 University Medicine Mainz—Department of Angiology, Mainz, Germany |
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Copyright | 2019 Kieback et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. 2019 Kieback et al 2019 Kieback et al |
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Snippet | A meta-analysis using data from seven German population-based cohorts was performed by the German Epidemiological consortium of Peripheral Arterial Disease... Purpose and methods A meta-analysis using data from seven German population-based cohorts was performed by the German Epidemiological consortium of Peripheral... PURPOSE AND METHODS:A meta-analysis using data from seven German population-based cohorts was performed by the German Epidemiological consortium of Peripheral... Purpose and methods A meta-analysis using data from seven German population-based cohorts was performed by the German Epidemiological consortium of Peripheral... |
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SubjectTerms | Ankle Ankle Brachial Index Biology and Life Sciences Cardiology Cardiovascular disease Cardiovascular diseases Consortia Data analysis Diabetes Epidemiology Female Gender differences Health care Humans Informatics Intermittent Claudication - diagnosis Intermittent Claudication - etiology Intermittent Claudication - physiopathology Male Mass Screening - methods Medicine and Health Sciences Meta-analysis Morbidity Mortality Pain People and Places Peripheral Arterial Disease - complications Peripheral Arterial Disease - diagnosis Peripheral Arterial Disease - physiopathology Physical Sciences Population Preventive medicine Questionnaires Questions Regression analysis Research and Analysis Methods Screening Sensitivity and Specificity Sex Factors Signs and symptoms Smoking cessation Surveys and Questionnaires Walking Walking - physiology |
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Title | 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 |
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