Early Myocardial Repolarization Heterogeneity Is Detected by Magnetocardiography in Diabetic Patients with Cardiovascular Risk Factors
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{"title"=>"Early myocardial repolarization heterogeneity is detected by magnetocardiography in diabetic patients with cardiovascular risk factors", "type"=>"journal", "authors"=>[{"first_name"=>"Yi Cheng", "last_name"=>"Chang", "scopus_author_id"=>"27170634500"}, {"first_name"=>"Chau Chung", "last_name"=>"Wu", "scopus_author_id"=>"7501663631"}, {"first_name"=>"Chih Hung", "last_name"=>"Lin", "scopus_author_id"=>"55773549600"}, {"first_name"=>"Yen Wen", "last_name"=>"Wu", "scopus_author_id"=>"8553974100"}, {"first_name"=>"Ying Chieh", "last_name"=>"Yang", "scopus_author_id"=>"56834699100"}, {"first_name"=>"Tien Jyun", "last_name"=>"Chang", "scopus_author_id"=>"7404724830"}, {"first_name"=>"Yi Der", "last_name"=>"Jiang", "scopus_author_id"=>"34868066100"}, {"first_name"=>"Lee Ming", "last_name"=>"Chuang", "scopus_author_id"=>"7102725561"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84941354813", "sgr"=>"84941354813", "doi"=>"10.1371/journal.pone.0133192", "pui"=>"605952281", "pmid"=>"26185995", "issn"=>"19326203"}, "id"=>"c788d8c7-b360-3372-b320-c76d5cba8f8b", "abstract"=>"Multi-channel magnetocardiography (MCG) is a sensitive technique to map spatial ventricular repolarization with high resolution and reproducibility. Spatial ventricular repolarization heterogeneity measured by MCG has been shown to accurately detect and localize myocardial ischemia. Here, we explored whether these measurements correlated with cardiovascular risk factors in patients with type 2 diabetes. Two hundreds and seventy-seven type 2 diabetic patients without known coronary artery disease (CAD) and arrhythmia were recruited consecutively from the outpatient clinic of National Taiwan University Hospital. The spatially distributed QTc contour maps were constructed with 64-channel MCG using the superconducting quantum interference device (SQUID) system. Indices of myocardial repolarization heterogeneity including the smoothness index of QTc (SI-QTc) and QTc dispersion were derived and analyzed for association with conventional cardiovascular risk factors. SI-QTc correlated strongly with the QTc dispersion (r = 0.70, p <0.0001). SI-QTc was significantly higher in patients with presence of metabolic syndrome in comparison to those without metabolic syndrome (8.56 vs. 7.96 ms, p = 0.02). In univariate correlation analyses, QTc dispersion was associated with smoking status (average 79.90, 83.83, 86.51, and 86.00 ms for never smokers, ex-smokers, current smokers reporting less than 10 cigarettes daily, and current smoker reporting more than 10 cigarettes daily, respectively, p = 0.03), body weight (r = 0.15, p = 0.01), and hemoglobin A1c (r = 0.12, p = 0.04). In stepwise multivariate regression analyses, QTc dispersion was associated with smoking (p = 0.02), body weight (p = 0.04), total cholesterol levels (p = 0.05), and possibly estimated glomerular filtration rate (p = 0.07). In summary, spatial heterogeneity of myocardial repolarization measured by MCG is positively associated cardiovascular risk factors including adiposity, smoking, and total cholesterol levels.", "link"=>"http://www.mendeley.com/research/early-myocardial-repolarization-heterogeneity-detected-magnetocardiography-diabetic-patients-cardiov", "reader_count"=>14, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Student > Doctoral Student"=>2, "Researcher"=>2, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>1, "Student > Master"=>1, "Other"=>1, "Student > Bachelor"=>1, "Professor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Student > Doctoral Student"=>2, "Researcher"=>2, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>1, "Student > Master"=>1, "Other"=>1, "Student > Bachelor"=>1, "Professor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Biochemistry, Genetics and Molecular Biology"=>2, "Mathematics"=>1, "Medicine and Dentistry"=>7, "Social Sciences"=>1, "Computer Science"=>1, "Economics, Econometrics and Finance"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>7}, "Social Sciences"=>{"Social Sciences"=>1}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Computer Science"=>{"Computer Science"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>1}}, "group_count"=>0}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2180667"], "description"=>"<p>(B) SI-QTc and (C) QTc dispersion in diabetic patients with or without metabolic syndrome.</p>", "links"=>[], "tags"=>["repolarization heterogeneity", "risk factors", "QTc contour maps", "univariate correlation analyses", "cholesterol levels", "type 2 diabetes", "10 cigarettes", "Myocardial Repolarization Heterogeneity", "multivariate regression analyses", "smoking", "National Taiwan University Hospital", "QTc dispersion", "smoker", "superconducting quantum interference device", "cad", "mcg"], "article_id"=>1487024, "categories"=>["Biological Sciences"], "users"=>["Yi-Cheng Chang", "Chau-Chung Wu", "Chih-Hung Lin", "Yen-Wen Wu", "Ying-Chieh Yang", "Tien-Jyun Chang", "Yi-Der Jiang", "Lee-Ming Chuang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133192.g001", "stats"=>{"downloads"=>4, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_The_correlation_between_QTc_dispersion_and_smoothness_index_of_QTc_SI_QTc_/1487024", "title"=>"(A) The correlation between QTc dispersion and smoothness index of QTc (SI-QTc).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-07-17 03:25:16"}
  • {"files"=>["https://ndownloader.figshare.com/files/2180668"], "description"=>"<p>The correlation between QTc dispersion and (B) body weight and (C) hemoglobin A1c.</p>", "links"=>[], "tags"=>["repolarization heterogeneity", "risk factors", "QTc contour maps", "univariate correlation analyses", "cholesterol levels", "type 2 diabetes", "10 cigarettes", "Myocardial Repolarization Heterogeneity", "multivariate regression analyses", "smoking", "National Taiwan University Hospital", "QTc dispersion", "smoker", "superconducting quantum interference device", "cad", "mcg"], "article_id"=>1487025, "categories"=>["Biological Sciences"], "users"=>["Yi-Cheng Chang", "Chau-Chung Wu", "Chih-Hung Lin", "Yen-Wen Wu", "Ying-Chieh Yang", "Tien-Jyun Chang", "Yi-Der Jiang", "Lee-Ming Chuang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133192.g002", "stats"=>{"downloads"=>6, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_QTc_dispersion_in_never_smoker_ex_smoker_current_cigarette_smokers_reporting_lt_10_cigarettes_current_smokter_reporting_more_than_10_cigarettes_/1487025", "title"=>"(A) QTc dispersion in never-smoker, ex-smoker, current cigarette smokers reporting < = 10 cigarettes, current smokter reporting more than 10 cigarettes.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-07-17 03:25:16"}
  • {"files"=>["https://ndownloader.figshare.com/files/2180669"], "description"=>"<p>*Smoking status was classified as “never smokers”, “ex-smokers”, “current smokers with less than 10 cigarettes daily”, and “current smokers with more than 10 cigarettes daily” and are coded as ordinal variables.</p><p>**Alcohol use was classified as “less than 2–3 times annually”, “2–3 times monthly” “2–3times weekly”, and “more than 3 times weekly” using questionnaires and are coded as ordinal variables.</p><p>SI-QTc, smoothness index of QTc; HbA1c, hemoglobin A1c; HDL-C, high-density lipoprotein-cholesterol; LDL-C, low-density lipoprotein-cholesterol; ACR, albumin-creatinine ratio; eGFR, estimated glomerular filtration rate; ARB: angiogtensin II receptor blocker; ACE, angiotensin converting enzyme</p><p>Baseline characteristics of study participants.</p>", "links"=>[], "tags"=>["repolarization heterogeneity", "risk factors", "QTc contour maps", "univariate correlation analyses", "cholesterol levels", "type 2 diabetes", "10 cigarettes", "Myocardial Repolarization Heterogeneity", "multivariate regression analyses", "smoking", "National Taiwan University Hospital", "QTc dispersion", "smoker", "superconducting quantum interference device", "cad", "mcg"], "article_id"=>1487026, "categories"=>["Biological Sciences"], "users"=>["Yi-Cheng Chang", "Chau-Chung Wu", "Chih-Hung Lin", "Yen-Wen Wu", "Ying-Chieh Yang", "Tien-Jyun Chang", "Yi-Der Jiang", "Lee-Ming Chuang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133192.t001", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Baseline_characteristics_of_study_participants_/1487026", "title"=>"Baseline characteristics of study participants.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-07-17 03:25:16"}
  • {"files"=>["https://ndownloader.figshare.com/files/2180670"], "description"=>"<p>*Multiple linear regressions using stepwise selection was performed with a default entry significance level of 0.15 and an exit significance level of 0.15.</p><p>Stepwise multiple regression for determinants of smoothness index of QTc (SI-QTc) in type 2 diabetic patients.</p>", "links"=>[], "tags"=>["repolarization heterogeneity", "risk factors", "QTc contour maps", "univariate correlation analyses", "cholesterol levels", "type 2 diabetes", "10 cigarettes", "Myocardial Repolarization Heterogeneity", "multivariate regression analyses", "smoking", "National Taiwan University Hospital", "QTc dispersion", "smoker", "superconducting quantum interference device", "cad", "mcg"], "article_id"=>1487027, "categories"=>["Biological Sciences"], "users"=>["Yi-Cheng Chang", "Chau-Chung Wu", "Chih-Hung Lin", "Yen-Wen Wu", "Ying-Chieh Yang", "Tien-Jyun Chang", "Yi-Der Jiang", "Lee-Ming Chuang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133192.t003", "stats"=>{"downloads"=>7, "page_views"=>21, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Stepwise_multiple_regression_for_determinants_of_smoothness_index_of_QTc_SI_QTc_in_type_2_diabetic_patients_/1487027", "title"=>"Stepwise multiple regression for determinants of smoothness index of QTc (SI-QTc) in type 2 diabetic patients.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-07-17 03:25:16"}
  • {"files"=>["https://ndownloader.figshare.com/files/2180671"], "description"=>"<p>*Multiple linear regressions using stepwise selection was performed with a default entry significance level of 0.15 and an exit significance level of 0.15. eGFR, estimated glomerular filtration rate</p><p>Stepwise multiple regression for determinants of QTc dispersion in type 2 diabetic patients.</p>", "links"=>[], "tags"=>["repolarization heterogeneity", "risk factors", "QTc contour maps", "univariate correlation analyses", "cholesterol levels", "type 2 diabetes", "10 cigarettes", "Myocardial Repolarization Heterogeneity", "multivariate regression analyses", "smoking", "National Taiwan University Hospital", "QTc dispersion", "smoker", "superconducting quantum interference device", "cad", "mcg"], "article_id"=>1487028, "categories"=>["Biological Sciences"], "users"=>["Yi-Cheng Chang", "Chau-Chung Wu", "Chih-Hung Lin", "Yen-Wen Wu", "Ying-Chieh Yang", "Tien-Jyun Chang", "Yi-Der Jiang", "Lee-Ming Chuang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133192.t004", "stats"=>{"downloads"=>5, "page_views"=>22, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Stepwise_multiple_regression_for_determinants_of_QTc_dispersion_in_type_2_diabetic_patients_/1487028", "title"=>"Stepwise multiple regression for determinants of QTc dispersion in type 2 diabetic patients.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-07-17 03:25:16"}
  • {"files"=>["https://ndownloader.figshare.com/files/2180672"], "description"=>"<div><p>Multi-channel magnetocardiography (MCG) is a sensitive technique to map spatial ventricular repolarization with high resolution and reproducibility. Spatial ventricular repolarization heterogeneity measured by MCG has been shown to accurately detect and localize myocardial ischemia. Here, we explored whether these measurements correlated with cardiovascular risk factors in patients with type 2 diabetes. Two hundreds and seventy-seven type 2 diabetic patients without known coronary artery disease (CAD) and arrhythmia were recruited consecutively from the outpatient clinic of National Taiwan University Hospital. The spatially distributed QTc contour maps were constructed with 64-channel MCG using the superconducting quantum interference device (SQUID) system. Indices of myocardial repolarization heterogeneity including the smoothness index of QTc (SI-QTc) and QTc dispersion were derived and analyzed for association with conventional cardiovascular risk factors. SI-QTc correlated strongly with the QTc dispersion (<i>r</i> = 0.70, <i>p</i> <0.0001). SI-QTc was significantly higher in patients with presence of metabolic syndrome in comparison to those without metabolic syndrome (8.56 vs. 7.96 ms, <i>p</i> = 0.02). In univariate correlation analyses, QTc dispersion was associated with smoking status (average 79.90, 83.83, 86.51, and 86.00 ms for never smokers, ex-smokers, current smokers reporting less than 10 cigarettes daily, and current smoker reporting more than 10 cigarettes daily, respectively, <i>p</i> = 0.03), body weight (<i>r</i> = 0.15, <i>p</i> = 0.01), and hemoglobin A1c (<i>r</i> = 0.12, <i>p</i> = 0.04). In stepwise multivariate regression analyses, QTc dispersion was associated with smoking (<i>p</i> = 0.02), body weight (<i>p</i> = 0.04), total cholesterol levels (<i>p</i> = 0.05), and possibly estimated glomerular filtration rate (<i>p</i> = 0.07). In summary, spatial heterogeneity of myocardial repolarization measured by MCG is positively associated cardiovascular risk factors including adiposity, smoking, and total cholesterol levels.</p></div>", "links"=>[], "tags"=>["repolarization heterogeneity", "risk factors", "QTc contour maps", "univariate correlation analyses", "cholesterol levels", "type 2 diabetes", "10 cigarettes", "Myocardial Repolarization Heterogeneity", "multivariate regression analyses", "smoking", "National Taiwan University Hospital", "QTc dispersion", "smoker", "superconducting quantum interference device", "cad", "mcg"], "article_id"=>1487029, "categories"=>["Biological Sciences"], "users"=>["Yi-Cheng Chang", "Chau-Chung Wu", "Chih-Hung Lin", "Yen-Wen Wu", "Ying-Chieh Yang", "Tien-Jyun Chang", "Yi-Der Jiang", "Lee-Ming Chuang"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0133192", "stats"=>{"downloads"=>1, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Early_Myocardial_Repolarization_Heterogeneity_Is_Detected_by_Magnetocardiography_in_Diabetic_Patients_with_Cardiovascular_Risk_Factors_/1487029", "title"=>"Early Myocardial Repolarization Heterogeneity Is Detected by Magnetocardiography in Diabetic Patients with Cardiovascular Risk Factors", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-07-17 03:25:16"}

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{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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