Novel ECG-based scoring tool for prediction of takotsubo syndrome

Background Takotsubo syndrome (TS) usually involves ECG changes mimicking acute myocardial infarction (AMI). The differentiation of both disorders is crucial for selection of appropriate treatment. The aim of this study was to assess ECG parameters in patients with TS and AMI, and try to establish a...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Gassanov, Natig [verfasserIn] Le, Minh Tam [verfasserIn] Caglayan, Evren [verfasserIn] Hellmich, Martin [verfasserIn] Erdmann, Erland [verfasserIn] Er, Fikret [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	Takotsubo cardiomyopathy Acute myocardial infarction Electrocardiography

Übergeordnetes Werk:	Enthalten in: Zeitschrift für Kardiologie - Darmstadt : Steinkopff, 1997, 108(2018), 1 vom: 27. Juni, Seite 68-73
Übergeordnetes Werk:	volume:108 ; year:2018 ; number:1 ; day:27 ; month:06 ; pages:68-73

Links:	Volltext

DOI / URN:	10.1007/s00392-018-1314-3

Katalog-ID:	SPR004816196

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520			\|a Background Takotsubo syndrome (TS) usually involves ECG changes mimicking acute myocardial infarction (AMI). The differentiation of both disorders is crucial for selection of appropriate treatment. The aim of this study was to assess ECG parameters in patients with TS and AMI, and try to establish a scoring tool for TS prediction. Methods The study consisted of two study parts: evaluation and validation cohorts. Overall, the study included 82 patients with TS and 141 subjects with AMI. In addition to the major demographic characteristics and comorbidities, the following ECG parameters were analyzed: heart rate, QRS duration, QTc, QRS amplitudes in frontal and precordial leads, frequencies for ST-segment elevation, combined sign of positive ST-segment elevation in -aVR and absent in $ V_{1} $, negative T-wave in lead I and positive in III, inverted or biphasic T-waves in $ V_{2} $–$ V_{5} $, T-wave inversions in frontal and precordial leads. All significant variables were identified in univariate regression analysis and further included for multivariate logistic regression analysis predicting TS. Results TS was frequently diagnosed in women and in elderly patients. Presence of ST-segment elevation, inverted/biphasic T-waves in $ V_{2} $–$ V_{5} $, QRS amplitudes in frontal and precordial leads were significantly different in evaluation group. By multivariate regression analysis sex, QRS amplitudes in frontal, inverted or biphasic T-waves in septal leads and QTc were identified as powerful variables to calculate TS probability. The diagnostic accuracy of the developed 6-points-TS-score was then evaluated in the validation group. Thus, no subject with a TS-score of ≥ 5 had AMI (specificity 99%, sensitivity > 92%). Conclusion The developed ECG-based TS-score model may be a useful complimentary tool for TS prediction in acute clinical setting.
650		4	\|a Takotsubo cardiomyopathy \|7 (dpeaa)DE-He213
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spelling	10.1007/s00392-018-1314-3 doi (DE-627)SPR004816196 (SPR)s00392-018-1314-3-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.67 bkl 44.85 bkl Gassanov, Natig verfasserin aut Novel ECG-based scoring tool for prediction of takotsubo syndrome 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Takotsubo syndrome (TS) usually involves ECG changes mimicking acute myocardial infarction (AMI). The differentiation of both disorders is crucial for selection of appropriate treatment. The aim of this study was to assess ECG parameters in patients with TS and AMI, and try to establish a scoring tool for TS prediction. Methods The study consisted of two study parts: evaluation and validation cohorts. Overall, the study included 82 patients with TS and 141 subjects with AMI. In addition to the major demographic characteristics and comorbidities, the following ECG parameters were analyzed: heart rate, QRS duration, QTc, QRS amplitudes in frontal and precordial leads, frequencies for ST-segment elevation, combined sign of positive ST-segment elevation in -aVR and absent in $ V_{1} $, negative T-wave in lead I and positive in III, inverted or biphasic T-waves in $ V_{2} $–$ V_{5} $, T-wave inversions in frontal and precordial leads. All significant variables were identified in univariate regression analysis and further included for multivariate logistic regression analysis predicting TS. Results TS was frequently diagnosed in women and in elderly patients. Presence of ST-segment elevation, inverted/biphasic T-waves in $ V_{2} $–$ V_{5} $, QRS amplitudes in frontal and precordial leads were significantly different in evaluation group. By multivariate regression analysis sex, QRS amplitudes in frontal, inverted or biphasic T-waves in septal leads and QTc were identified as powerful variables to calculate TS probability. The diagnostic accuracy of the developed 6-points-TS-score was then evaluated in the validation group. Thus, no subject with a TS-score of ≥ 5 had AMI (specificity 99%, sensitivity > 92%). Conclusion The developed ECG-based TS-score model may be a useful complimentary tool for TS prediction in acute clinical setting. Takotsubo cardiomyopathy (dpeaa)DE-He213 Acute myocardial infarction (dpeaa)DE-He213 Electrocardiography (dpeaa)DE-He213 Le, Minh Tam verfasserin aut Caglayan, Evren verfasserin aut Hellmich, Martin verfasserin aut Erdmann, Erland verfasserin aut Er, Fikret verfasserin aut Enthalten in Zeitschrift für Kardiologie Darmstadt : Steinkopff, 1997 108(2018), 1 vom: 27. Juni, Seite 68-73 (DE-627)254911137 (DE-600)1463330-9 1435-1285 nnns volume:108 year:2018 number:1 day:27 month:06 pages:68-73 https://dx.doi.org/10.1007/s00392-018-1314-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 44.67 ASE 44.85 ASE AR 108 2018 1 27 06 68-73
allfields_unstemmed	10.1007/s00392-018-1314-3 doi (DE-627)SPR004816196 (SPR)s00392-018-1314-3-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.67 bkl 44.85 bkl Gassanov, Natig verfasserin aut Novel ECG-based scoring tool for prediction of takotsubo syndrome 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Takotsubo syndrome (TS) usually involves ECG changes mimicking acute myocardial infarction (AMI). The differentiation of both disorders is crucial for selection of appropriate treatment. The aim of this study was to assess ECG parameters in patients with TS and AMI, and try to establish a scoring tool for TS prediction. Methods The study consisted of two study parts: evaluation and validation cohorts. Overall, the study included 82 patients with TS and 141 subjects with AMI. In addition to the major demographic characteristics and comorbidities, the following ECG parameters were analyzed: heart rate, QRS duration, QTc, QRS amplitudes in frontal and precordial leads, frequencies for ST-segment elevation, combined sign of positive ST-segment elevation in -aVR and absent in $ V_{1} $, negative T-wave in lead I and positive in III, inverted or biphasic T-waves in $ V_{2} $–$ V_{5} $, T-wave inversions in frontal and precordial leads. All significant variables were identified in univariate regression analysis and further included for multivariate logistic regression analysis predicting TS. Results TS was frequently diagnosed in women and in elderly patients. Presence of ST-segment elevation, inverted/biphasic T-waves in $ V_{2} $–$ V_{5} $, QRS amplitudes in frontal and precordial leads were significantly different in evaluation group. By multivariate regression analysis sex, QRS amplitudes in frontal, inverted or biphasic T-waves in septal leads and QTc were identified as powerful variables to calculate TS probability. The diagnostic accuracy of the developed 6-points-TS-score was then evaluated in the validation group. Thus, no subject with a TS-score of ≥ 5 had AMI (specificity 99%, sensitivity > 92%). Conclusion The developed ECG-based TS-score model may be a useful complimentary tool for TS prediction in acute clinical setting. Takotsubo cardiomyopathy (dpeaa)DE-He213 Acute myocardial infarction (dpeaa)DE-He213 Electrocardiography (dpeaa)DE-He213 Le, Minh Tam verfasserin aut Caglayan, Evren verfasserin aut Hellmich, Martin verfasserin aut Erdmann, Erland verfasserin aut Er, Fikret verfasserin aut Enthalten in Zeitschrift für Kardiologie Darmstadt : Steinkopff, 1997 108(2018), 1 vom: 27. Juni, Seite 68-73 (DE-627)254911137 (DE-600)1463330-9 1435-1285 nnns volume:108 year:2018 number:1 day:27 month:06 pages:68-73 https://dx.doi.org/10.1007/s00392-018-1314-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 44.67 ASE 44.85 ASE AR 108 2018 1 27 06 68-73
allfieldsGer	10.1007/s00392-018-1314-3 doi (DE-627)SPR004816196 (SPR)s00392-018-1314-3-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.67 bkl 44.85 bkl Gassanov, Natig verfasserin aut Novel ECG-based scoring tool for prediction of takotsubo syndrome 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Takotsubo syndrome (TS) usually involves ECG changes mimicking acute myocardial infarction (AMI). The differentiation of both disorders is crucial for selection of appropriate treatment. The aim of this study was to assess ECG parameters in patients with TS and AMI, and try to establish a scoring tool for TS prediction. Methods The study consisted of two study parts: evaluation and validation cohorts. Overall, the study included 82 patients with TS and 141 subjects with AMI. In addition to the major demographic characteristics and comorbidities, the following ECG parameters were analyzed: heart rate, QRS duration, QTc, QRS amplitudes in frontal and precordial leads, frequencies for ST-segment elevation, combined sign of positive ST-segment elevation in -aVR and absent in $ V_{1} $, negative T-wave in lead I and positive in III, inverted or biphasic T-waves in $ V_{2} $–$ V_{5} $, T-wave inversions in frontal and precordial leads. All significant variables were identified in univariate regression analysis and further included for multivariate logistic regression analysis predicting TS. Results TS was frequently diagnosed in women and in elderly patients. Presence of ST-segment elevation, inverted/biphasic T-waves in $ V_{2} $–$ V_{5} $, QRS amplitudes in frontal and precordial leads were significantly different in evaluation group. By multivariate regression analysis sex, QRS amplitudes in frontal, inverted or biphasic T-waves in septal leads and QTc were identified as powerful variables to calculate TS probability. The diagnostic accuracy of the developed 6-points-TS-score was then evaluated in the validation group. Thus, no subject with a TS-score of ≥ 5 had AMI (specificity 99%, sensitivity > 92%). Conclusion The developed ECG-based TS-score model may be a useful complimentary tool for TS prediction in acute clinical setting. Takotsubo cardiomyopathy (dpeaa)DE-He213 Acute myocardial infarction (dpeaa)DE-He213 Electrocardiography (dpeaa)DE-He213 Le, Minh Tam verfasserin aut Caglayan, Evren verfasserin aut Hellmich, Martin verfasserin aut Erdmann, Erland verfasserin aut Er, Fikret verfasserin aut Enthalten in Zeitschrift für Kardiologie Darmstadt : Steinkopff, 1997 108(2018), 1 vom: 27. Juni, Seite 68-73 (DE-627)254911137 (DE-600)1463330-9 1435-1285 nnns volume:108 year:2018 number:1 day:27 month:06 pages:68-73 https://dx.doi.org/10.1007/s00392-018-1314-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 44.67 ASE 44.85 ASE AR 108 2018 1 27 06 68-73
allfieldsSound	10.1007/s00392-018-1314-3 doi (DE-627)SPR004816196 (SPR)s00392-018-1314-3-e DE-627 ger DE-627 rakwb eng 610 ASE 610 ASE 44.67 bkl 44.85 bkl Gassanov, Natig verfasserin aut Novel ECG-based scoring tool for prediction of takotsubo syndrome 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background Takotsubo syndrome (TS) usually involves ECG changes mimicking acute myocardial infarction (AMI). The differentiation of both disorders is crucial for selection of appropriate treatment. The aim of this study was to assess ECG parameters in patients with TS and AMI, and try to establish a scoring tool for TS prediction. Methods The study consisted of two study parts: evaluation and validation cohorts. Overall, the study included 82 patients with TS and 141 subjects with AMI. In addition to the major demographic characteristics and comorbidities, the following ECG parameters were analyzed: heart rate, QRS duration, QTc, QRS amplitudes in frontal and precordial leads, frequencies for ST-segment elevation, combined sign of positive ST-segment elevation in -aVR and absent in $ V_{1} $, negative T-wave in lead I and positive in III, inverted or biphasic T-waves in $ V_{2} $–$ V_{5} $, T-wave inversions in frontal and precordial leads. All significant variables were identified in univariate regression analysis and further included for multivariate logistic regression analysis predicting TS. Results TS was frequently diagnosed in women and in elderly patients. Presence of ST-segment elevation, inverted/biphasic T-waves in $ V_{2} $–$ V_{5} $, QRS amplitudes in frontal and precordial leads were significantly different in evaluation group. By multivariate regression analysis sex, QRS amplitudes in frontal, inverted or biphasic T-waves in septal leads and QTc were identified as powerful variables to calculate TS probability. The diagnostic accuracy of the developed 6-points-TS-score was then evaluated in the validation group. Thus, no subject with a TS-score of ≥ 5 had AMI (specificity 99%, sensitivity > 92%). Conclusion The developed ECG-based TS-score model may be a useful complimentary tool for TS prediction in acute clinical setting. Takotsubo cardiomyopathy (dpeaa)DE-He213 Acute myocardial infarction (dpeaa)DE-He213 Electrocardiography (dpeaa)DE-He213 Le, Minh Tam verfasserin aut Caglayan, Evren verfasserin aut Hellmich, Martin verfasserin aut Erdmann, Erland verfasserin aut Er, Fikret verfasserin aut Enthalten in Zeitschrift für Kardiologie Darmstadt : Steinkopff, 1997 108(2018), 1 vom: 27. Juni, Seite 68-73 (DE-627)254911137 (DE-600)1463330-9 1435-1285 nnns volume:108 year:2018 number:1 day:27 month:06 pages:68-73 https://dx.doi.org/10.1007/s00392-018-1314-3 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 44.67 ASE 44.85 ASE AR 108 2018 1 27 06 68-73
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The differentiation of both disorders is crucial for selection of appropriate treatment. The aim of this study was to assess ECG parameters in patients with TS and AMI, and try to establish a scoring tool for TS prediction. Methods The study consisted of two study parts: evaluation and validation cohorts. Overall, the study included 82 patients with TS and 141 subjects with AMI. In addition to the major demographic characteristics and comorbidities, the following ECG parameters were analyzed: heart rate, QRS duration, QTc, QRS amplitudes in frontal and precordial leads, frequencies for ST-segment elevation, combined sign of positive ST-segment elevation in -aVR and absent in $ V_{1} $, negative T-wave in lead I and positive in III, inverted or biphasic T-waves in $ V_{2} $–$ V_{5} $, T-wave inversions in frontal and precordial leads. All significant variables were identified in univariate regression analysis and further included for multivariate logistic regression analysis predicting TS. Results TS was frequently diagnosed in women and in elderly patients. Presence of ST-segment elevation, inverted/biphasic T-waves in $ V_{2} $–$ V_{5} $, QRS amplitudes in frontal and precordial leads were significantly different in evaluation group. By multivariate regression analysis sex, QRS amplitudes in frontal, inverted or biphasic T-waves in septal leads and QTc were identified as powerful variables to calculate TS probability. The diagnostic accuracy of the developed 6-points-TS-score was then evaluated in the validation group. Thus, no subject with a TS-score of ≥ 5 had AMI (specificity 99%, sensitivity > 92%). Conclusion The developed ECG-based TS-score model may be a useful complimentary tool for TS prediction in acute clinical setting.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Takotsubo cardiomyopathy</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Acute myocardial infarction</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Electrocardiography</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Le, Minh Tam</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Caglayan, Evren</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hellmich, Martin</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Erdmann, Erland</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Er, Fikret</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Zeitschrift für Kardiologie</subfield><subfield code="d">Darmstadt : Steinkopff, 1997</subfield><subfield code="g">108(2018), 1 vom: 27. 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author	Gassanov, Natig
spellingShingle	Gassanov, Natig ddc 610 bkl 44.67 bkl 44.85 misc Takotsubo cardiomyopathy misc Acute myocardial infarction misc Electrocardiography Novel ECG-based scoring tool for prediction of takotsubo syndrome
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topic_title	610 ASE 44.67 bkl 44.85 bkl Novel ECG-based scoring tool for prediction of takotsubo syndrome Takotsubo cardiomyopathy (dpeaa)DE-He213 Acute myocardial infarction (dpeaa)DE-He213 Electrocardiography (dpeaa)DE-He213
topic	ddc 610 bkl 44.67 bkl 44.85 misc Takotsubo cardiomyopathy misc Acute myocardial infarction misc Electrocardiography
topic_unstemmed	ddc 610 bkl 44.67 bkl 44.85 misc Takotsubo cardiomyopathy misc Acute myocardial infarction misc Electrocardiography
topic_browse	ddc 610 bkl 44.67 bkl 44.85 misc Takotsubo cardiomyopathy misc Acute myocardial infarction misc Electrocardiography
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title	Novel ECG-based scoring tool for prediction of takotsubo syndrome
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title_full	Novel ECG-based scoring tool for prediction of takotsubo syndrome
author_sort	Gassanov, Natig
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author_browse	Gassanov, Natig Le, Minh Tam Caglayan, Evren Hellmich, Martin Erdmann, Erland Er, Fikret
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author2-role	verfasserin
title_sort	novel ecg-based scoring tool for prediction of takotsubo syndrome
title_auth	Novel ECG-based scoring tool for prediction of takotsubo syndrome
abstract	Background Takotsubo syndrome (TS) usually involves ECG changes mimicking acute myocardial infarction (AMI). The differentiation of both disorders is crucial for selection of appropriate treatment. The aim of this study was to assess ECG parameters in patients with TS and AMI, and try to establish a scoring tool for TS prediction. Methods The study consisted of two study parts: evaluation and validation cohorts. Overall, the study included 82 patients with TS and 141 subjects with AMI. In addition to the major demographic characteristics and comorbidities, the following ECG parameters were analyzed: heart rate, QRS duration, QTc, QRS amplitudes in frontal and precordial leads, frequencies for ST-segment elevation, combined sign of positive ST-segment elevation in -aVR and absent in $ V_{1} $, negative T-wave in lead I and positive in III, inverted or biphasic T-waves in $ V_{2} $–$ V_{5} $, T-wave inversions in frontal and precordial leads. All significant variables were identified in univariate regression analysis and further included for multivariate logistic regression analysis predicting TS. Results TS was frequently diagnosed in women and in elderly patients. Presence of ST-segment elevation, inverted/biphasic T-waves in $ V_{2} $–$ V_{5} $, QRS amplitudes in frontal and precordial leads were significantly different in evaluation group. By multivariate regression analysis sex, QRS amplitudes in frontal, inverted or biphasic T-waves in septal leads and QTc were identified as powerful variables to calculate TS probability. The diagnostic accuracy of the developed 6-points-TS-score was then evaluated in the validation group. Thus, no subject with a TS-score of ≥ 5 had AMI (specificity 99%, sensitivity > 92%). Conclusion The developed ECG-based TS-score model may be a useful complimentary tool for TS prediction in acute clinical setting.
abstractGer	Background Takotsubo syndrome (TS) usually involves ECG changes mimicking acute myocardial infarction (AMI). The differentiation of both disorders is crucial for selection of appropriate treatment. The aim of this study was to assess ECG parameters in patients with TS and AMI, and try to establish a scoring tool for TS prediction. Methods The study consisted of two study parts: evaluation and validation cohorts. Overall, the study included 82 patients with TS and 141 subjects with AMI. In addition to the major demographic characteristics and comorbidities, the following ECG parameters were analyzed: heart rate, QRS duration, QTc, QRS amplitudes in frontal and precordial leads, frequencies for ST-segment elevation, combined sign of positive ST-segment elevation in -aVR and absent in $ V_{1} $, negative T-wave in lead I and positive in III, inverted or biphasic T-waves in $ V_{2} $–$ V_{5} $, T-wave inversions in frontal and precordial leads. All significant variables were identified in univariate regression analysis and further included for multivariate logistic regression analysis predicting TS. Results TS was frequently diagnosed in women and in elderly patients. Presence of ST-segment elevation, inverted/biphasic T-waves in $ V_{2} $–$ V_{5} $, QRS amplitudes in frontal and precordial leads were significantly different in evaluation group. By multivariate regression analysis sex, QRS amplitudes in frontal, inverted or biphasic T-waves in septal leads and QTc were identified as powerful variables to calculate TS probability. The diagnostic accuracy of the developed 6-points-TS-score was then evaluated in the validation group. Thus, no subject with a TS-score of ≥ 5 had AMI (specificity 99%, sensitivity > 92%). Conclusion The developed ECG-based TS-score model may be a useful complimentary tool for TS prediction in acute clinical setting.
abstract_unstemmed	Background Takotsubo syndrome (TS) usually involves ECG changes mimicking acute myocardial infarction (AMI). The differentiation of both disorders is crucial for selection of appropriate treatment. The aim of this study was to assess ECG parameters in patients with TS and AMI, and try to establish a scoring tool for TS prediction. Methods The study consisted of two study parts: evaluation and validation cohorts. Overall, the study included 82 patients with TS and 141 subjects with AMI. In addition to the major demographic characteristics and comorbidities, the following ECG parameters were analyzed: heart rate, QRS duration, QTc, QRS amplitudes in frontal and precordial leads, frequencies for ST-segment elevation, combined sign of positive ST-segment elevation in -aVR and absent in $ V_{1} $, negative T-wave in lead I and positive in III, inverted or biphasic T-waves in $ V_{2} $–$ V_{5} $, T-wave inversions in frontal and precordial leads. All significant variables were identified in univariate regression analysis and further included for multivariate logistic regression analysis predicting TS. Results TS was frequently diagnosed in women and in elderly patients. Presence of ST-segment elevation, inverted/biphasic T-waves in $ V_{2} $–$ V_{5} $, QRS amplitudes in frontal and precordial leads were significantly different in evaluation group. By multivariate regression analysis sex, QRS amplitudes in frontal, inverted or biphasic T-waves in septal leads and QTc were identified as powerful variables to calculate TS probability. The diagnostic accuracy of the developed 6-points-TS-score was then evaluated in the validation group. Thus, no subject with a TS-score of ≥ 5 had AMI (specificity 99%, sensitivity > 92%). Conclusion The developed ECG-based TS-score model may be a useful complimentary tool for TS prediction in acute clinical setting.
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_152 GBV_ILN_161 GBV_ILN_171 GBV_ILN_187 GBV_ILN_224 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702
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title_short	Novel ECG-based scoring tool for prediction of takotsubo syndrome
url	https://dx.doi.org/10.1007/s00392-018-1314-3
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author2	Le, Minh Tam Caglayan, Evren Hellmich, Martin Erdmann, Erland Er, Fikret
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up_date	2024-07-04T02:42:19.488Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR004816196</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519174936.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201001s2018 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00392-018-1314-3</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR004816196</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s00392-018-1314-3-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">ASE</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.67</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.85</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Gassanov, Natig</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Novel ECG-based scoring tool for prediction of takotsubo syndrome</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2018</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background Takotsubo syndrome (TS) usually involves ECG changes mimicking acute myocardial infarction (AMI). The differentiation of both disorders is crucial for selection of appropriate treatment. The aim of this study was to assess ECG parameters in patients with TS and AMI, and try to establish a scoring tool for TS prediction. Methods The study consisted of two study parts: evaluation and validation cohorts. Overall, the study included 82 patients with TS and 141 subjects with AMI. In addition to the major demographic characteristics and comorbidities, the following ECG parameters were analyzed: heart rate, QRS duration, QTc, QRS amplitudes in frontal and precordial leads, frequencies for ST-segment elevation, combined sign of positive ST-segment elevation in -aVR and absent in $ V_{1} $, negative T-wave in lead I and positive in III, inverted or biphasic T-waves in $ V_{2} $–$ V_{5} $, T-wave inversions in frontal and precordial leads. All significant variables were identified in univariate regression analysis and further included for multivariate logistic regression analysis predicting TS. Results TS was frequently diagnosed in women and in elderly patients. Presence of ST-segment elevation, inverted/biphasic T-waves in $ V_{2} $–$ V_{5} $, QRS amplitudes in frontal and precordial leads were significantly different in evaluation group. By multivariate regression analysis sex, QRS amplitudes in frontal, inverted or biphasic T-waves in septal leads and QTc were identified as powerful variables to calculate TS probability. The diagnostic accuracy of the developed 6-points-TS-score was then evaluated in the validation group. Thus, no subject with a TS-score of ≥ 5 had AMI (specificity 99%, sensitivity > 92%). 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Novel ECG-based scoring tool for prediction of takotsubo syndrome

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