ArticleAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2020
Long-term clinical outcomes and prognoses of ST-segment elevation myocardial infarction patients who present with tombstoning ST-segment elevation.
Article in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- ECG analysis of ventricular fibrillation dynamics reflects ischaemic progression subject to variability in patient anatomy and electrode location.Frontiers in cardiovascular medicine · 2024Article
- Long-term clinical outcomes and prognoses of ST-segment elevation myocardial infarction patients who present with tombstoning ST-segment elevation.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionAlthough patients with tombstoning ST-segment elevation (Tomb-ST) usually have poor in-hospital and short-term survival rates, no studies have examined the long-term clinical outcomes and prognosis of ST-segment elevation myocardial infarction (STEMI) patients who have this electrocardiographic pattern. Therefore, we aimed to evaluate the long-term clinical events and mortality of such patients in this study.
methodsIn this retrospective analysis, we included 335 consecutive patients who were diagnosed with acute anterior wall-STEMI from January 2015 to June 2018. The criteria for the definition of Tomb-ST were accepted as provided in a previous study. Endpoints of the study were the incidence of significant in-hospital and long-term major adverse clinical events (MACE) including the composite of total death, myocardial reinfarction, and hospitalizations due to heart failure.
resultsPatients who presented with Tomb-ST had significantly higher in-hospital and long-term mortality (10% [n = 12 patients] vs. 2.3% [n = 5 patients]; p < 0.001and 6.5% [n = 7 patients] vs. 1.9% [n = 4 patients]; p = .04, respectively). In a multivariate traditional and penalized Cox proportional hazard regression analysis, this type of electrocardiographic pattern was found as independent predictor of long-term MACE (Odds ratio [OR]: 3.82, 95% confidence interval [CI]: 1.91-7.63, p < .001 and OR: 4.36, 95% CI: 1.97-9.66, p < .001, respectively).
conclusionIn the present study, we observed that the presence of Tomb-ST might be an independent predictor of long-term MACE in STEMI patients. To the best of our knowledge, this is the first study to evaluate the long-term MACE of such patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.