Literature DB >> 35837153

Predictive effect of J waves on cardiac compression and clinical prognosis of esophageal tumors: a retrospective study.

Songcui Shen1, Yichen Xie2, Pengliang Ju1, Wenzhao Li1, Jiayuan Zhang2, Ruxin Cai3, Ruogu Li4.   

Abstract

Background: The J wave syndromes (JWS) could be observed in patients with mediastinal tumors, though few studies have verified the statistical correlation between J waves and cardiac compression by tumors. This study aimed to investigate the relationship between J waves and cardiac compression by esophageal tumor and to compare the prediction of J waves on clinical prognosis with that of cardiac compression by esophageal tumor.
Methods: We enrolled 273 patients (228 males, 45 females; mean 63.8±7.5 years) with esophageal tumors admitted to Shanghai Chest Hospital between August 2016 and November 2020. The J wave was defined as a J-point elevation of ≥0.1 mV in a 12-lead electrocardiogram (ECG) and classified into multiple types. Chest computed tomography (CT) was reviewed to clarify the anatomical relationship between the heart and the esophageal tumor. The prognosis of severe cardiac events and survival status were followed up through medical history, examination records and telephone records.
Results: J waves were present in 141 patients among all 273 cases. The sensitivity and specificity of cardiac compression by the tumor for J waves were 78.1% and 67.3%, respectively. The odds ratio (OR) of cardiac compression by the tumor to J waves was 7.33 [95% confidence interval (CI): 4.21-12.74; P<0.001]. The Kappa coefficient between J waves and cardiac compression was 0.44±0.05. The significance association between J waves and cardiac compression was independent from other clinical variables (P<0.001). Decreased J wave amplitude was correlated with the disappearance of cardiac compression during follow-up (P=0.03). Patients with J waves had a higher risk of severe cardiac events than those without J waves (OR =2.84, 95% CI: 1.22-6.63; P=0.01). During the follow-up period, we found that the presence of J waves [hazard ratio (HR) =2.28; 95% CI: 1.35-3.84; P=0.002] and cardiac compression by the tumor (HR =2.51; 95% CI: 1.51-4.17; P<0.001) were both negatively correlated with the survival time of patients. Conclusions: The presence of J waves could be used as an effective mean to predict the mechanical impact of esophageal tumor on the heart, and played an important role in predicting the survival of patients. 2022 Journal of Gastrointestinal Oncology. All rights reserved.

Entities:  

Keywords:  J waves; compression; esophageal tumor; heart

Year:  2022        PMID: 35837153      PMCID: PMC9274041          DOI: 10.21037/jgo-22-371

Source DB:  PubMed          Journal:  J Gastrointest Oncol        ISSN: 2078-6891


  34 in total

1.  Early repolarization: electrocardiographic phenotypes associated with favorable long-term outcome.

Authors:  Jani T Tikkanen; M Juhani Junttila; Olli Anttonen; Aapo L Aro; Samuli Luttinen; Tuomas Kerola; Solomon J Sager; Harri A Rissanen; Robert J Myerburg; Antti Reunanen; Heikki V Huikuri
Journal:  Circulation       Date:  2011-05-31       Impact factor: 29.690

2.  End QRS notching or slurring in the electrocardiogram: influence on the definition of "early repolarization".

Authors:  Sijie Jacob Heng; Elaine N Clark; Peter W Macfarlane
Journal:  J Am Coll Cardiol       Date:  2012-07-11       Impact factor: 24.094

Review 3.  J wave syndromes as a cause of malignant cardiac arrhythmias.

Authors:  José M Di Diego; Charles Antzelevitch
Journal:  Pacing Clin Electrophysiol       Date:  2018-06-30       Impact factor: 1.976

Review 4.  Cellular and ionic basis of J-wave syndromes.

Authors:  Marwan Badri; Aashay Patel; Gan-Xin Yan
Journal:  Trends Cardiovasc Med       Date:  2014-09-19       Impact factor: 6.677

5.  J Waves for Predicting Cardiac Events in Hypertrophic Cardiomyopathy.

Authors:  Toyonobu Tsuda; Kenshi Hayashi; Tetsuo Konno; Kenji Sakata; Takashi Fujita; Akihiko Hodatsu; Yoji Nagata; Ryota Teramoto; Akihiro Nomura; Yoshihiro Tanaka; Hiroshi Furusho; Masayuki Takamura; Masa-Aki Kawashiri; Noboru Fujino; Masakazu Yamagishi
Journal:  JACC Clin Electrophysiol       Date:  2017-06-28

6.  Brugada-like ECG pattern due to giant mediastinal lipoma.

Authors:  C Asteriou; A Lazopoulos; N Giannoulis; I Kalafatis; N Barbetakis
Journal:  Hippokratia       Date:  2013-10       Impact factor: 0.471

7.  The J-waves of hypothermia.

Authors:  Panagiotis Mililis; George Bazoukis; Athanasios Bakalakos; Konstantinos P Letsas
Journal:  J Thorac Dis       Date:  2018-01       Impact factor: 2.895

8.  Prognostic Nutritional Index, Tumor-infiltrating Lymphocytes, and Prognosis in Patients with Esophageal Cancer.

Authors:  Kazuo Okadome; Yoshifumi Baba; Taisuke Yagi; Yuki Kiyozumi; Takatsugu Ishimoto; Masaaki Iwatsuki; Yuji Miyamoto; Naoya Yoshida; Masayuki Watanabe; Hideo Baba
Journal:  Ann Surg       Date:  2020-04       Impact factor: 12.969

Review 9.  J wave syndromes: a decade of progress.

Authors:  Guo-Liang Li; Lin Yang; Chang-Cong Cui; Chao-Feng Sun; Gan-Xin Yan
Journal:  Chin Med J (Engl)       Date:  2015-04-05       Impact factor: 2.628

10.  Acacetin suppresses the electrocardiographic and arrhythmic manifestations of the J wave syndromes.

Authors:  José M Di Diego; Bence Patocskai; Hector Barajas-Martinez; Virág Borbáth; Michael J Ackerman; Alexander Burashnikov; Jérôme Clatot; Gui-Rong Li; Victoria M Robinson; Dan Hu; Charles Antzelevitch
Journal:  PLoS One       Date:  2020-11-24       Impact factor: 3.240

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