eISSN: 2300-6722
ISSN: 1899-1874
Medical Studies/Studia Medyczne
Bieżący numer Archiwum Artykuły zaakceptowane O czasopiśmie Suplementy Rada naukowa Bazy indeksacyjne Prenumerata Kontakt Zasady publikacji prac
Panel Redakcyjny
Zgłaszanie i recenzowanie prac online
4/2023
vol. 39
 
Poleć ten artykuł:
Udostępnij:
Artykuł oryginalny

Wpływ obrazu EKG oraz naczynia dozawałowego na 12-miesięczne rokowanie w ostrym zawale serca – analiza na podstawie Rejestru PL-ACS

Łukasz Piątek
1
,
Karolina Piątek
1
,
Michał Skrzypek
2
,
Mariusz Gąsior
3
,
Marianna Janion
1
,
Zbigniew Siudak
1
,
Marcin Sadowski
1

1.
Collegium Medicum, Jan Kochanowski University, Kielce, Poland
2.
Department of Biostatistics, School of Health Sciences in Bytom, Medical University of Silesia in Katowice, Poland
3.
3rd Department of Cardiology, School of Medicine with the Division of Dentistry in Zabrze, Medical University of Silesia in Katowice, Silesian Centre for Heart Disease, Zabrze, Poland
Medical Studies/Studia Medyczne 2023; 39 (4): 327-333
Data publikacji online: 2023/12/30
Plik artykułu:
- The impact.pdf  [0.13 MB]
Pobierz cytowanie
 
Metryki PlumX:
 

Introduction

Acute myocardial infarction (MI) remains one of the most important issues in cardiology. MI is usually associated with typical ischaemic abnormalities presented on electrocardiography (ECG) such as ST-segment elevation, ST-segment depression, and T-wave inversion. Importantly, a substantial fraction of patients with acute MI present with no ischaemic changes (NIC) on ECG. Because ECG still is an essential method in the diagnosis of acute MI, this group of patients might be challenging in a routine medical practice, especially in emergency medicine. In the past NIC was considered to be a predictor of a favourable prognosis. However, the latest studies have revealed that long-term results in this group are comparable to those for other ECG patterns [1–4].

Aim of the research

We conducted an analysis of detailed characteristics as well as outcomes of MI cases with various ECG patterns to determine the impact of both ECG and culprit lesion on long-term prognosis.

Material and methods

Based on PL-ACS Registry data, we analysed 139,465 patients admitted to Polish hospitals in 2015–2020 due to an acute myocardial infarction. Among them, 5 subgroups were established based on initial ECG presentation: ST segment elevation (STE), ST segment depression (STD), T-wave inversion (TWI), other ST-T abnormalities (STT), and no ischaemic changes (NIC). We then selected patients who underwent percutaneous coronary intervention (PCI) of a culprit lesion that was chosen based on both angiographic and clinical features (ECG, echocardiography) [5].
Patients who were not qualified to primary PCI (e.g. non-obstructive coronary artery disease and patients qualified for urgent coronary artery bypass graft) were excluded from further analysis. Finally, a total of 111,689 patients who fulfilled the criteria above were included in the study.
The study was performed in accordance with the Declaration of Helsinki and was approved by the PL-ACS Registry Committee. Ethics Committee approval and informed patient consent were not required for this study. Data were collected from the PL-ACS Registry questionnaires, which that included demographic data (sex and age) and risk factors (smoking, arterial hypertension, hypercholesterolaemia, diabetes mellitus, and obesity); previous coronary incidences and procedures such as MI, percutaneous coronary intervention, coronary artery bypass graft; clinical presentation on admission (Killip class, heart rate, systolic blood pressure, ECG abnormalities, and left ventricular ejection fraction); history of coronary angiography; details of the percutaneous coronary intervention; and in-hospital and post-discharge treatment. The follow-up period included in-hospital and 12-month mortality rates.
Patients were classified into one of the following groups based on their initial ECG pattern: STE, STD, TWI, STT, or NIC, according to the European Society of Cardiology (ESC) guidelines. The clinical profiles, details from coronary angiogram and PCI, as well as outcomes of the cohorts were compared.
Statistical analysis
Continuous variables are expressed as medians and interquartile ranges due to non-normal distributions. The normality of distribution was assessed using the Kolmogorov-Smirnov test. Categorical variables are expressed as numbers and percentages. Continuous variables were compared using the Mann-Whitney test, while categorical variables were compared using the c2 test. The Holm-Bonferroni correction was applied for multiple comparisons. Univariate logistic regression analysis was performed to identify potential independent predictive factors of the endpoint for inclusion in the multivariable analysis. Univariable predictors of the endpoint p < 0.2 were used in a multivariable logistic regression model with stepwise backward elimination. The results are presented as odds ratios with 95% confidence intervals. Differences were considered statistically significant at p < 0.05. Statistical analyses were performed using SAS v9.4 (SAS Institute Inc., Cary, NC, USA).

Results

In the study group NIC patients accounted for over 10% of all cases and were more often encountered than TWI. The baseline characteristics of the ECG groups are presented in Table 1. Patients in the NIC group presented with the most favourable clinical condition (Killip class). In that group, relatively often, diagonal, circumflex, and marginal arteries were confirmed to be a culprit lesion in coronary angiogram.
During the in-hospital observation the mortality rate in NIC patients was higher than for TWI but lower than STE, STD, and STT. Twelve-month follow-up revealed that patients with NIC had worse prognosis than those with TWI and STE (Table 1).
Multivariate analysis showed that STE, STT, and STD were independent predictors of in-hospital mortality whereas TWI was associated with the most favourable outcomes. In 12-month analysis, only STT and STD were independent risk factors in multivariate analysis while the impact of STE and TWI were equal to that of NIC (Table 2).
Univariate analysis of a culprit lesions revealed that into the in-hospital observation, both marginal branch (OM) and diagonal (D), were associated with the most favourable prognosis while right coronary artery (RCA) and circumflex (Cx) presented with an intermediate risk (Figure 1). In 12-month follow-up, OM, D and RCA were associated with the best outcomes whereas Cx and left anterior descending artery (LAD) presented with a moderate prognosis (Figure 2).
Multivariate analysis of culprit lesions revealed that in-hospital observation OM and RCA were associated with better outcomes than Cx, while LAD, D, and by-pass presented with a similar prognosis to Cx. Twelve-month observation showed that only left main (LM) and LAD were associated with worse outcomes when compared to Cx whereas the other vessels (RCA, OM, D, and by-pass) presented with equal results to Cx (Table 3). Other independent predictors of a worse prognosis are age, chronic kidney disease, higher Killip class, and multi-vessel disease (Table 3).

Discussion

Myocardial infarction is usually associated with typical electrocardiographic abnormalities that indicate the ongoing myocardial ischaemia. Nevertheless, a substantial number of MI cases present without the above. NIC accounted for 12.7% [1] to 19.5% [4] of all MI cases in the latest reports.
There are numerous possible underlying conditions that may lead to a lack of ECG abnormalities indicating ongoing ischaemia in MI, e.g. ischaemia of 2 remote segments that mutually cancel the injury vector, transition from subendocardial to transmural is ischaemia, pseudonormalisation of baseline negative T-wave, segments that are not covered by any of the 12 standard ECG leads, etc. [6]. Based on guidelines on chest pain diagnosis, supplemental ECG leads, e.g. V7-V9 in nonconclusive ECG presentation, are reasonable [7].
Because there are numerous potential causes of cardiac injury (ischaemic, noncoronary, and noncardiac), differential diagnosis of chest pain with concomitant elevated troponin level, especially without ECG abnormalities, might be challenging and misleading [8]. Final confirmation of type 1 myocardial infarction and revealing of a culprit lesion base on a coronary angiography [9]. In routine medical practice, one might also encountered patients with myocardial infarction with non-obstructive coronary arteries (MINOCA) [10].
Analysis of culprit lesions in various ECG patterns showed that in NIC patients marginal (OM), diagonal (D), and circumflex (Cx) are commonly observed. Previous studies revealed that NIC is often associated with a left circumflex lesion [3, 9, 11].
Our study proved that the long-term prognosis in NIC patients is not favourable. Twelve-month mortality is higher than for TWI, and even for STE [4, 10]. Analysis of independent predictors of long-term mortality revealed that a lack of ischaemic abnormalities has the same impact as ST-segment elevation and T-wave inversion [12].
Interestingly, multivariate analysis revealed that the long-term outcomes are similar in OM, D, Cx, RCA, and by-pass lesion, meaning that the impact of a culprit lesion on 12-month outcomes is negligible except for LM and LAD. Irrespective of the culprit lesion, all patients post MI should obtain full spectrum of secondary prevention to improve long-term prognosis.
Our study confirmed again that short- and long-term outcomes in patients with acute myocardial infarction are highly dependent on initial circulatory status (e.g. Killip scale) [13] as well as comorbidities (Table 3).

Conclusions

Long-term prognosis in NIC after primary PCI is not favourable (12-month mortality is worse than for the STE group). STT and STD presented with the worst prognosis, which is associated with adverse factors such as older age, comorbidities, heart failure, and multi-vessel coronary disease. The impact of a culprit lesion on 12-month outcomes is negligible except for LM and LAD.

Conflict of interest

The authors declare no conflict of interest.
References
1. Schmitz T, Thilo C, Linseisen J, Heier M, Peters A, Kuch B, Meisinger C. Admission ECG changes predict short term-mortality after acute myocardial infarction less reliable in patients with diabetes. Sci Rep 2021; 11: 6307.
2. Wu CJ, Yeh KH, Wang HT, Liu WH, Chen HC, Chai HT, Chung WJ, Hsueh S, Chen CJ, Fang HY, Chen YL. Impact of electrocardiographic morphology on clinical outcomes in patients with non-ST elevation myocardial infarction receiving coronary angiography and intervention: a retrospective study. PeerJ 2020; 8: e8796.
3. Jin ES, Park CB, Kim DH, Hwang HJ, Cho JM, Sohn IS, Kim CJ. Comparative clinical implications of admission electrocardiographic findings for patients with non-ST-segment elevation myocardial infarction. Medicine (Baltimore) 2016; 95: e4862.
4. Chen PF, Tang L, Pei JY, Yi JL, Xing ZH, Fang ZF, Zhou SH, Hu XQ. Prognostic value of admission electrocardiographic findings in non-ST-segment elevation myocardial infarction. Clin Cardiol 2020; 43: 574-580.
5. Balbi MM, Scarparo P, Tovar MN et al. Culprit lesion detection in patients presenting with non-ST elevation acute coronary syndrome and multivessel disease. Cardiovasc Revasc Med 2022; 35: 110-118.
6. Birnbaum Y, Nikus K, Kligfield P, Fiol M, Barrabés JA, Sionis A, Pahlm O, Niebla JG, de Luna AB. The role of the ECG in diagnosis, risk estimation, and catheterization laboratory activation in patients with acute coronary syndromes: a consensus document. Ann Noninvasive Electrocardiol 2014; 19: 412-425.
7. Gulati M, Levy PD, Mukherjee D, Amsterdam E, Bhatt DL, Birtcher KK, Blankstein R, Boyd J, Bullock-Palmer RP, Conejo T, Diercks DB, Gentile F, Greenwood JP, Hess EP, Hollenberg SM, Jaber WA, Jneid H, Joglar JA, Morrow DA, O’Connor RE, Ross MA, Shaw LJ. 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the evaluation and diagnosis of chest pain: a Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation 2021; 144: e368-e454.
8. Thygesen K, Alpert JS, Jaffe AS, Chaitman BR, Bax JJ, Morrow DA, White HD; Executive Group on behalf of the Joint European Society of Cardiology (ESC)/American College of Cardiology (ACC)/American Heart Association (AHA)/World Heart Federation (WHF) Task Force for the Universal Definition of Myocardial Infarction. Fourth Universal Definition of Myocardial Infarction (2018). J Am Coll Cardiol 2018; 72: 2231-2264.
9. Kim SS, Choi HS, Jeong MH, Cho JG, Ahn YK, Kim JH, Chae SC, Kim YJ, Hur SH, Seong IW, Hong TJ, Choi D, Cho MC, Kim CJ, Seung KB, Chung WS, Jang YS, Rha SW, Bae JH, Park SJ; Korea Acute Myocardial Infarction Registry Investigators. Clinical outcomes of acute myocardial infarction with occluded left circumflex artery. J Cardiol 2011; 57: 290-296.
10. Sadowski M, Rekść Ł, Stępień A, Kuchinka J, Zieliński P, Grabski M, Ręba P, Barańska E. Myocardial infarction with non-obstructive coronary arteries. Medical Studies 2018; 34: 332-336.
11. Moustafa A, Abi-Saleh B, El-Baba M, Hamoui O, AlJaroudi W. Anatomic distribution of culprit lesions in patients with non-ST-segment elevation myocardial infarction and normal ECG. Cardiovasc Diagn Ther 2016; 6: 25-33.
12. Piątek K, Piątek Ł, Zandecki Ł, Kurzawski J, Skrzypek M, Gąsior M, Sadowski M. Long-term outcomes in patients with acute myocardial infarction and no ischemic changes on electrocardiogram. Heart Lung 2022; 53: 72-76.
13. Sadowski M, Janion-Sadowska A. The management of patients with cardiogenic shock. Medical Studies 2017; 33: 55-62.
Copyright: © 2023 Jan Kochanowski University in Kielce This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (http://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
© 2024 Termedia Sp. z o.o.
Developed by Bentus.