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Chen XM, Wu Y, Yu J, Wang LC. Postextrasystolic repolarization changes of ventricular premature beats correlate with structural heart disease and suggest prognostic implications. J Electrocardiol 2024; 85:39-45. [PMID: 38843738 DOI: 10.1016/j.jelectrocard.2024.05.097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2024] [Revised: 04/28/2024] [Accepted: 05/20/2024] [Indexed: 08/10/2024]
Abstract
Ventricular premature beats (VPBs) can potentially lead to life-threatening arrhythmias, especially in patients with structural heart disease (SHD). However, identifying dangerous VPBs has always been a topic and challenge in clinical research. This study aimed to evaluate the relationship of postextrasystolic repolarization changes of VPBs with SHD and its possible additional prognostic value. 125 cases of frequent VPBs with SHD and 156 cases without SHD were included. VPBs were stratified selected from 24 h Holter recording according to the scale of heart rate. Average QTDV (difference value of QT interval between the first beat follow VPB with beats preceding VPB) and max QTDV were significantly longer in SHD group than that in the non-SHD group. For identifying patients with SHD, the best cutoff value were 19 ms for average QTDV (AUC = 0.931) and 29 ms for max QTDV (AUC = 0.910) respectively. For Tu morphology analysis, PT2 (postextrasystolic T wave amplitude change ≥2 mV), reversed T wave, and Pu (postextrasystolic u wave) change were all highly specific, but low sensitive as identification of SHD. Compared with average QTDV < 19 ms patients, average QTDV ≥ 19 ms patients had significantly larger left heart size and wores left cardiac function. The presence of non-persistent ventricular tachycardia runs was higher in average QTDV ≥ 19 ms group and positive Pu change group than that in control groups. The findings indicated that postextrasystolic repolarization changes of VPBs correlated with SHD and suggested potential value in prognosis asssessment.
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Affiliation(s)
- Xu-Miao Chen
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China, and Key Laboratory of Assisted Circulation, NHC, Guangzhou, China
| | - Yang Wu
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China, and Key Laboratory of Assisted Circulation, NHC, Guangzhou, China
| | - Jin Yu
- Department of Electrocardiology, The First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou, China
| | - Li-Chun Wang
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China, and Key Laboratory of Assisted Circulation, NHC, Guangzhou, China.
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Takahashi M, Ogura K, Goto T, Hayakawa M. Electrocardiogram monitoring as a predictor of neurological and survival outcomes in patients with out-of-hospital cardiac arrest: a single-center retrospective observational study. Front Neurol 2023; 14:1210491. [PMID: 37470005 PMCID: PMC10352613 DOI: 10.3389/fneur.2023.1210491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 06/19/2023] [Indexed: 07/21/2023] Open
Abstract
Introduction This study hypothesized that monitoring electrocardiogram (ECG) waveforms in patients with out-of-hospital cardiac arrest (OHCA) could have predictive value for survival or neurological outcomes. We aimed to establish a new prognostication model based on the single variable of monitoring ECG waveforms in patients with OHCA using machine learning (ML) techniques. Methods This observational retrospective study included successfully resuscitated patients with OHCA aged ≥ 18 years admitted to an intensive care unit in Japan between April 2010 and April 2020. Waveforms from ECG monitoring for 1 h after admission were obtained from medical records and examined. Based on the open-access PTB-XL dataset, a large publicly available 12-lead ECG waveform dataset, we built an ML-supported premodel that transformed the II-lead waveforms of the monitoring ECG into diagnostic labels. The ECG diagnostic labels of the patients in this study were analyzed for prognosis using another model supported by ML. The endpoints were favorable neurological outcomes (cerebral performance category 1 or 2) and survival to hospital discharge. Results In total, 590 patients with OHCA were included in this study and randomly divided into 3 groups (training set, n = 283; validation set, n = 70; and test set, n = 237). In the test set, our ML model predicted neurological and survival outcomes, with the highest areas under the receiver operating characteristic curves of 0.688 (95% CI: 0.682-0.694) and 0.684 (95% CI: 0.680-0.689), respectively. Conclusion Our ML predictive model showed that monitoring ECG waveforms soon after resuscitation could predict neurological and survival outcomes in patients with OHCA.
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Affiliation(s)
- Masaki Takahashi
- Division of Acute and Critical Care Medicine, Department of Anaesthesiology and Critical Care Medicine, Hokkaido University Faculty of Medicine, Sapporo, Japan
| | - Kentaro Ogura
- Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tadahiro Goto
- Faculty of Medicine, The University of Tokyo, Tokyo, Japan
| | - Mineji Hayakawa
- Division of Acute and Critical Care Medicine, Department of Anaesthesiology and Critical Care Medicine, Hokkaido University Faculty of Medicine, Sapporo, Japan
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Gentile FR, Baldi E, Klersy C, Schnaubelt S, Caputo ML, Clodi C, Bruno J, Compagnoni S, Fasolino A, Benvenuti C, Domanovits H, Burkart R, Primi R, Ruzicka G, Holzer M, Auricchio A, Savastano S. Association Between Postresuscitation 12-Lead ECG Features and Early Mortality After Out-of-Hospital Cardiac Arrest: A Post Hoc Subanalysis of the PEACE Study. J Am Heart Assoc 2023; 12:e027923. [PMID: 37183852 DOI: 10.1161/jaha.122.027923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
Background Once the return of spontaneous circulation after out-of-hospital cardiac arrest is achieved, a 12-lead ECG is strongly recommended to identify candidates for urgent coronary angiography. ECG has no apparent role in mortality risk stratification. We aimed to assess whether ECG features could be associated with 30-day survival in patients with out-of-hospital cardiac arrest. Methods and Results All the post-return of spontaneous circulation ECGs from January 2015 to December 2018 in 3 European centers (Pavia, Lugano, and Vienna) were collected. Prehospital data were collected according to the Utstein style. A total of 370 ECGs were collected: 287 men (77.6%) with a median age of 62 years (interquartile range, 53-70 years). After correction for the return of spontaneous circulation-to-ECG time, age >62 years (hazard ratio [HR], 1.78 [95% CI, 1.21-2.61]; P=0.003), female sex (HR, 1.5 [95% CI, 1.05-2.13]; P=0.025), QRS wider than 120 ms (HR, 1.64 [95% CI, 1.43-1.87]; P<0.001), the presence of a Brugada pattern (HR, 1.49 [95% CI, 1.39-1.59]; P<0.001), and the presence of ST-segment elevation in >1 segment (HR, 1.75 [95% CI, 1.59-1.93]; P<0.001) were independently associated with 30-day mortality. A score ranging from 0 to 26 was created, and by dividing the population into 3 tertiles, 3 classes of risk were found with significantly different survival rate at 30 days (score 0-4, 73%; score 5-7, 66%; score 8-26, 45%). Conclusions The post-return of spontaneous circulation ECG can identify patients who are at high risk of mortality after out-of-hospital cardiac arrest earlier than other forms of prognostication. This provides important risk stratification possibilities in postcardiac arrest care that could help to direct treatments and improve outcomes in patients with out-of-hospital cardiac arrest.
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Affiliation(s)
- Francesca Romana Gentile
- Department of Molecular Medicine, Section of Cardiology University of Pavia Pavia Italy
- Cardiac Intensive Care Unit, Arrhythmia and Electrophysiology and Experimental Cardiology Fondazione IRCCS Policlinico San Matteo Pavia Italy
| | - Enrico Baldi
- Department of Molecular Medicine, Section of Cardiology University of Pavia Pavia Italy
- Cardiac Intensive Care Unit, Arrhythmia and Electrophysiology and Experimental Cardiology Fondazione IRCCS Policlinico San Matteo Pavia Italy
| | - Catherine Klersy
- Clinical Epidemiology and Biometry Fondazione IRCCS Policlinico San Matteo Pavia Italy
| | | | | | - Christian Clodi
- Department of Emergency Medicine Medical University of Vienna Wien Austria
| | | | - Sara Compagnoni
- Department of Molecular Medicine, Section of Cardiology University of Pavia Pavia Italy
- Cardiac Intensive Care Unit, Arrhythmia and Electrophysiology and Experimental Cardiology Fondazione IRCCS Policlinico San Matteo Pavia Italy
| | - Alessandro Fasolino
- Department of Molecular Medicine, Section of Cardiology University of Pavia Pavia Italy
- Cardiac Intensive Care Unit, Arrhythmia and Electrophysiology and Experimental Cardiology Fondazione IRCCS Policlinico San Matteo Pavia Italy
| | | | - Hans Domanovits
- Clinical Epidemiology and Biometry Fondazione IRCCS Policlinico San Matteo Pavia Italy
| | | | - Roberto Primi
- Division of Cardiology Fondazione IRCCS Policlinico San Matteo Pavia Italy
| | - Gerhard Ruzicka
- Department of Emergency Medicine Medical University of Vienna Wien Austria
| | - Michael Holzer
- Department of Emergency Medicine Medical University of Vienna Wien Austria
| | | | - Simone Savastano
- Division of Cardiology Fondazione IRCCS Policlinico San Matteo Pavia Italy
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Namazi MH, Salehi A, Akbarzadeh MA, Parsa SA, Safi M, Vakili H, Saadat H, Eslami V, Kiaee FH, Nourian S, Sohrabifar N, Khaheshi I. The association between QTc, QTd, TPE, and fragmented QRS before and after PPCI with hospital mortality in STEMI patients. Cardiovasc Hematol Disord Drug Targets 2022; 22:CHDDT-EPUB-126551. [PMID: 36165529 DOI: 10.2174/1871529x22666220926125709] [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: 06/06/2022] [Revised: 08/12/2022] [Accepted: 08/25/2022] [Indexed: 11/22/2022]
Abstract
INTRODUCTION ST-elevation myocardial infarction (STEMI) is known to be associated with significant arrhythmia and consequent mortality. QT prolongation is a risk factor for arrhythmia in STEMI patients who underwent primary percutaneous coronary intervention (PPCI). The aim of this investigation was to evaluate the association of corrected QT interval (QTc), QT dispersion (QTd), T-wave peak to end (TPE), and fragmented QRS with mortality in these patients. METHODS Eligible patients with the characteristic symptoms of STEMI who underwent PPCI were included. QTc, QTd, TPE, and fragmented QRS were measured before and after the PPCI. These predictors were compared between patients who died during hospitalization and discharged patients. RESULTS After coronary angiography, 10 patients (4%) died during the hospitalization after PPCI. Comparing the non-survivers and discharged patients in terms of arrhythmia predictors showed that the mean QT dispersion and TPE before intervention were significantly higher in the non-survivors. Also, the number of patients who experienced fragmented QRS both before and after the intervention was significantly higher in the non-survivors. CONCLUSION These data suggested that evaluating such arrhythmia predictors, especially before PPCI, could be used as a predictor of mortality in STEMI patients who underwent PPCI.
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Affiliation(s)
- Mohammad Hassan Namazi
- Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Ayoub Salehi
- Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mohammad Ali Akbarzadeh
- Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Saeed Alipoor Parsa
- Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Morteza Safi
- Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hossein Vakili
- Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Habiboulah Saadat
- Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Vahid Eslami
- Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | - Saeed Nourian
- Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nasim Sohrabifar
- Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Isa Khaheshi
- Cardiovascular Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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QTc intervals are not prolonged in former ELBW infants at pre-adolescent age. Pediatr Res 2022; 92:848-852. [PMID: 34857877 DOI: 10.1038/s41390-021-01877-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Revised: 11/01/2021] [Accepted: 11/13/2021] [Indexed: 11/08/2022]
Abstract
BACKGROUND Whether preterm birth is associated with cardiac conduction or repolarization abnormalities in later life is still poorly explored, with conflicting data on QTc prolongation in former extreme low birth weight (ELBW, <1000 g) infants. METHODS Twelve lead electrocardiograms (ECG) at rest, collected in the PREMATurity as predictor of children's Cardiovascular-renal Health (PREMATCH) study in former ELBW cases and term controls during pre-adolescence (8-14 years) were analyzed on corrected QT time (QTc, Bazett) and QT dispersion (QTd). ECG findings were compared between groups (Mann-Whitney), and associations with clinical and biochemical findings were explored (Spearman). In ELBW cases, associations between QTc and perinatal characteristics (at birth, neonatal stay) were explored (Mann-Whitney, Spearman). RESULTS QTc and QTd were similar between 93 ELBW cases and 87 controls [409 (range 360-465) versus 409 (337-460); 40 (0-100) versus 39 (0-110)] ms. Age, height, weight, or body mass index were not associated with the QTc interval, while female sex (median difference 11.4 ms) and lower potassium (r = -0.26) were associated with longer QTc interval. We could not observe any significant association between QTc interval and perinatal characteristics. CONCLUSIONS There were no differences in QTc or QTd between ELBW and term controls in ECGs at rest in pre-adolescents. IMPACT This study aimed to assess the differences in QTc and QTd intervals between extreme low birth weight infants (ELBW) and term controls in electrocardiographic measurements at rest during pre-adolescence. This analysis confirmed the absence of significant differences in QTc or QTd findings between ELBW cases and term controls, while female sex and lower potassium were associated with a prolonged QTc interval. These data suggest that QTc screening strategies-including for pharmacovigilance-should not differentiate between former ELBW cases and term controls. CLINICAL TRIAL REGISTRATION ClinicalTrials.gov Identifier NCT02147457.
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Hocagil AC, Hocagil H. Evaluation of Electrocardiography Parameters in Renal Colic Patients Admitted to the Emergency Department. EURASIAN JOURNAL OF EMERGENCY MEDICINE 2022. [DOI: 10.4274/eajem.galenos.2021.79346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
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Aufderheide TP, Kalra R, Kosmopoulos M, Bartos JA, Yannopoulos D. Enhancing cardiac arrest survival with extracorporeal cardiopulmonary resuscitation: insights into the process of death. Ann N Y Acad Sci 2022; 1507:37-48. [PMID: 33609316 PMCID: PMC8377067 DOI: 10.1111/nyas.14580] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 01/30/2021] [Accepted: 02/02/2021] [Indexed: 01/03/2023]
Abstract
Extracorporeal cardiopulmonary resuscitation (ECPR) is an emerging method of cardiopulmonary resuscitation to improve outcomes from cardiac arrest. This approach targets patients with out-of-hospital cardiac arrest previously unresponsive and refractory to standard treatment, combining approximately 1 h of standard CPR followed by venoarterial extracorporeal membrane oxygenation (VA-ECMO) and coronary artery revascularization. Despite its relatively new emergence for the treatment of cardiac arrest, the approach is grounded in a vast body of preclinical and clinical data that demonstrate significantly improved survival and neurological outcomes despite unprecedented, prolonged periods of CPR. In this review, we detail the principles behind VA-ECMO-facilitated resuscitation, contemporary clinical approaches with outcomes, and address the emerging new understanding of the process of death and capability for neurological recovery.
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Affiliation(s)
- Tom P. Aufderheide
- Department of Emergency Medicine, Medical College of Wisconsin, Milwaukee, WI
| | - Rajat Kalra
- Center for Resuscitation Medicine, University of Minnesota Medical School, Minneapolis, MN,Cardiovascular Division, University of Minnesota, Minneapolis, MN
| | - Marinos Kosmopoulos
- Center for Resuscitation Medicine, University of Minnesota Medical School, Minneapolis, MN
| | - Jason A. Bartos
- Center for Resuscitation Medicine, University of Minnesota Medical School, Minneapolis, MN,Cardiovascular Division, University of Minnesota, Minneapolis, MN
| | - Demetris Yannopoulos
- Center for Resuscitation Medicine, University of Minnesota Medical School, Minneapolis, MN,Cardiovascular Division, University of Minnesota, Minneapolis, MN
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HARBALIOĞLU H, GENC O, ALICI G, QUİSİ A, YILDIRIM A. Features on ECG During Admission May Predict In-hospital Events for COVID-19 Patients. KONURALP TIP DERGISI 2021. [DOI: 10.18521/ktd.922646] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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