Literature DB >> 25254632

Likelihood and predictors of ST-elevation in patients hospitalized for myocardial infarction.

Ville Kytö1, Jussi Sipilä1, Päivi Rautava1.   

Abstract

IMPORTANCE: Emergency treatment options in myocardial infarction are guided by presence or absence of ST-elevations in electrocardiography. Occurrence and factors associated with ST-presentation in different population groups are however inadequately known.
OBJECTIVE: To determine likelihood and patient features associated with ST-elevations in myocardial infarction.
DESIGN: Nationwide registry study including 22 hospitals with angiolaboratory during an eight year period in Finland.
SETTING: Hospitalized care. PARTICIPANTS: 68,162 consecutive patients aged ≥ 30 with myocardial infarction. MEASURES: Likelihood and patient features associated with presence of ST-elevations.
RESULTS: Myocardial infarction presented with ST-elevation in 37.5% (CI 37.0-37.9%) and without in 62.5% (CI 61.9-63.1%) of patients, p<0.0001. Majority of patients aged 30-59 years with myocardial infarction had ST-elevation, but among octogenarians ST-elevations were present in only 24.7%. Presence of ST-elevations decreased with age by estimated 15.6% (CI 15.0-16.2%) per 10 year increase (p<0.0001). Men aged 40-79 years had significantly higher rate for ST-elevation myocardial infarction compared to women. Sex-based difference in presentation of myocardial infarction declined with increasing age. Overall, men had a 13% (CI 11-15%, p<0.0001) higher relative risk for ST-elevations compared to women when adjusted for age and co-morbidities. Diabetes, atrial fibrillation, peripheral or cerebral artery disease, chronic pulmonary disease, malignancy, and renal insufficiency were associated with absence of ST-elevations in myocardial infarction in multivariate analysis. CONCLUSIONS AND RELEVANCE: Myocardial infarction presents with ST-elevations more commonly in men. Presence of ST-elevations decreases with increasing age. Diabetes, atrial fibrillation, peripheral or cerebral artery disease, chronic pulmonary disease, malignancy, and renal insufficiency are associated with absence of ST-elevations in myocardial infarction. These findings may help to predict likelihood of ST-elevations in a patient with myocardial infarction.

Entities:  

Mesh:

Year:  2014        PMID: 25254632      PMCID: PMC4177929          DOI: 10.1371/journal.pone.0108440

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Emergency treatment strategies of patients with myocardial infarction (MI) are based on ST-segment presentation in electrocardiography. In ST-elevation myocardial infarction (STEMI), an acute total coronary occlusion is present and immediate reperfusion therapy, preferably by primary percutaneous coronary intervention, is required [1], [2]. When ST-elevations are not present, but circulating troponin levels are elevated, patient has a non-ST-elevation myocardial infarction (NSTEMI) requiring intensive medical therapy and invasive assessment of coronary arteries should be conducted during the next 24 hours [3], [4]. Although the majority of all MI patients are known to have NSTEMI [5], factors associated with ST-presentations are less well known. We studied the likelihood of ST-segment elevation in myocardial infarction and patient features predicting it using a large multihospital registry.

Methods

Study Patients and Data Collection

We studied 68,162 consecutive patients aged ≥30 years admitted to hospital with myocardial infarction as primary discharge diagnosis (ICD-10 code I21) in 22 hospitals during a period of 8 years. Infarction was classified as STEMI or NSTEMI based on ICD-10 coding (I21.0x–I21.3x vs. I21.4x–I21.9x, respectively). Data was retrospectively collected from the Finnish Hospital Discharge Register, a nationwide database maintained by the Finnish National Institute for Health and Welfare containing hospital discharge diagnosis codes (ICD-10) of all medical admissions in Finland. Hospital transfers (10.8% of admissions) during the same treatment period were combined as one. All 22 hospitals in Finland that treat emergency patients and have a coronary catheterization laboratory were included. Admissions that begun between January 1st 2001– December 31st 2008 were included. The study was approved by the National Institute for Health and Welfare (permission nro THL/1576/5.05.00/2010). Patient data was received anonymized and de-identified and informed consents were thus not obtained.

Statistical Analysis

Scale variables are presented as mean±SD or median with interquartile range (IQR) as appropriate. Categorical variables are presented as percentages or relative risks (RR) with 95% confidence interval (95% CI) as appropriate. Differences in continuous variables were analyzed with student t-test. Overall distribution of myocardial infarction by presenting ST-change was tested with Chi-square test. Factors associated with the type of myocardial infarction were studied by using a log-binomial regression model. Patient characteristics associated with type of infarction at p<0.05 in univariate analysis (stratified for study year) were included in the final regression model. Two-sided p-values <.05 were considered statistically significant. The SAS system (v.9.3, SAS Institute Inc, Cary, NC, USA) was used for statistical analyses.

Results

Incidence of ST-Elevations in Myocardial Infarction

Myocardial infarction presented with ST-elevation in 25,538 patients (37.5%; CI 37.0–37.9%) and without ST-elevation in 42,624 patients (62.5%; CI 61.9–63.1%), p<0.0001. Mean age of all patients was 71.2±12.6 years. STEMI patients were significantly younger than patients with NSTEMI (67.7±13.0 vs. 73.3±11.8 years, p<0.0001). Presence of ST-elevations in MI decreased with age (Figure 1). Majority of patients aged 30–59 years of age had ST-elevation MI, but of octogenarians only 24.7% (CI 22.9–26.6%) had STEMI. Although the proportion of STEMI did not differ between beginning and end of study period, there was significant annual variation during the study period (Figure 2). Proportion of MI with ST-elevation decreased by estimated 3.3% (CI 2.2–4.4%) annually during 2001–2004 (p<0.0001) followed by an estimated increase of 3.2% (CI 2.3–4.0%, p<0.0001) per year from 2004 onwards.
Figure 1

Proportion of patients with ST-elevation myocardial infarction by age.

Error bars represent upper limits of 95% confidence interval.

Figure 2

Annual variation of the presence of ST-elevation in patients with myocardial infarction.

Error bars represent 95% confidence interval. ** p<0.005, *** p<0.0005 (vs. year 2001). Please note the origin of y-axis.

Proportion of patients with ST-elevation myocardial infarction by age.

Error bars represent upper limits of 95% confidence interval.

Annual variation of the presence of ST-elevation in patients with myocardial infarction.

Error bars represent 95% confidence interval. ** p<0.005, *** p<0.0005 (vs. year 2001). Please note the origin of y-axis.

Patient Characteristics Associated with ST-Elevation

Majority of both STEMI and NSTEMI patients were male (Table 1). Men had a 32% (CI 30–35%, p<0.0001) higher unadjusted rate for ST-elevations compared to women. Sex-based likelihood for ST-elevation varied however significantly with age, as men aged 40–79 had significantly higher rate than women, and sex-based likelihood decreased with increasing age (Figure 3). After adjustment for age and other characteristics, the overall rate of ST-elevations was 13% (CI 11–15%, p<0.0001) higher in men. The adjusted likelihood of ST-elevation decreased by 15.6% (CI 15.0–16.2%) per 10 increase in age (p<0.0001). Diabetes, atrial fibrillation, peripheral or cerebral artery disease, chronic pulmonary disease, malignancy, and renal insufficiency were all associated with absence of ST-elevation in MI in both univariate (Table 1) and multivariate analyses (Table 2).
Table 1

Characteristics of myocardial infarction patients with (STEMI) and without ST-elevation (NSTEMI).

Prevalence % (95% CI)Association with ST-elevation *
STEMINSTEMIRRp
Male sex66.3 (65.3–67.4)55.8 (55.1–56.5)1.32 (1.30–1.35)<0.0001
Hypertension13.5 (13.0–13.9)13.5 (13.2–13.9)1.00 (0.97–1.03)0.9508
Diabetes7.1 (6.8–7.4)8.4 (8.1–8.7)0.89 (0.85–0.92)<0.0001
Atrial fibrillation4.4 (4.1–4.7)8.2 (8.0–8.5)0.63 (0.60–0.67)<0.0001
Peripheral or cerebral artery disease2.0 (1.8–2.2)2.7 (2.5–2.8)0.83 (0.77–0.89)<0.0001
Chronic pulmonary disease1.8(1.6–2.0)2.5 (2.4–2.7)0.80 (0.74–0.86)<0.0001
Malignancy0.9 (0.8–1.0)1.2 (1.1–1.3)0.83 (0.74–0.93)0.0008
Renal insufficiency0.6 (0.5–0.7)1.0 (0.9–1.1)0.74 (0.64–0.84)<0.0001
Rheumatoid arthritis0.5 (0.4–0.6)0.5 (0.5–0.6)0.94 (0.81–1.08)0.3696

*Univariate analysis, stratified for study year.

Association of characteristics with ST-elevation myocardial infarction in univariate regression analysis (stratified for year). RR = relative risk. 95% CI = 95% confidence interval.

Figure 3

Sex-related likelihood of ST-elevations (STEMI) in myocardial infarction by age.

Relative risk is calculated as men vs. women and adjusted for significant baseline characteristics. Error bars represent 95% confidence interval.

Table 2

Association of patient features with ST-elevation in myocardial infarction in multivariate analysis.

RR (95% CI)p
Male sex1.13 (1.10–1.15)<0.0001
Age (10 year groups)0.84 (0.84–0.85)<0.0001
Diabetes0.89 (0.86–0.93)<0.0001
Atrial fibrillation0.73 (0.69–0.77)<0.0001
Peripheral or cerebral artery disease0.90 (0.84–0.97)0.0054
Chronic pulmonary disease0.84 (0.78–0.91)<0.0001
Malignancy0.88 (0.79–0.98)0.022
Renal insufficiency0.84 (0.74–0.96)0.0089

RR = relative risk. 95% CI = 95% confidence interval.

Sex-related likelihood of ST-elevations (STEMI) in myocardial infarction by age.

Relative risk is calculated as men vs. women and adjusted for significant baseline characteristics. Error bars represent 95% confidence interval. *Univariate analysis, stratified for study year. Association of characteristics with ST-elevation myocardial infarction in univariate regression analysis (stratified for year). RR = relative risk. 95% CI = 95% confidence interval. RR = relative risk. 95% CI = 95% confidence interval.

Discussion

This multi-hospital study of all-comer MI patients describes likelihood and patient characteristics associated with ST-elevations in myocardial infarction. In agreement with previous studies [5] we found the majority of all MIs to be NSTEMI. However, MI presented with ST-elevations more commonly than without in patients less than 59 years of age, and the proportion of STEMI declined with increasing age. This finding may reflect the fact that prevalence of chronic coronary artery disease (CAD) increases with aging [5], [6] and the occlusion of a small, already stenotic small coronary side branch will not result in ST-elevation in electrocardiography. Furthermore, presence of already developed coronary collaterals in patients with stable coronary disease may prevent total ischemia and ST-elevations in vascular territory of totally occluded coronary [7], [8]. Age-related changes in platelet structure and function [9], [10] may also contribute for decreasing proportion of STEMI with age, but significance and pathophysiology of age-related platelet function and thrombogenesis are yet unclear. Previous studies have found males to be overrepresented by 5–9% among STEMI patients compared to NSTEMI [11]–[17]. Sex-based likelihood for ST-elevation is however rarely presented in literature. A study using Euro-Heart Survey 2004 data found women under 65-years of age to have an odds ratio of 0.62 for ST-elevation compared to men while sex did not affect the risk in older patients, but results were not adjusted for co-founders [18]. We found men to have a relative risk of 1.13 for ST-elevations compared to women after adjustment for age and co-morbidities. Reasons for this gender-bias are unknown, but may include differences in platelet function [19], coagulation-fibrinolytic pathway [20], inflammatory response [21], coronary plaque composition [22], matrix remodeling [23], endothelial function [24], and angiogenesis [25] in addition to lifestyle and risk factors differences [26]. Estrogen is found to play a pivotal role in sex-differences in coronary artery disease [19], [23]–[25], [27]. In agreement, we found the sex-based likelihood for ST-elevation in myocardial infarction to decrease with increasing age. We found the known markers for the likelihood of CAD, such as atherosclerotic disease of cerebral or peripheral arteries, diabetes, chronic pulmonary disease, and renal insufficiency [5] to be associated with absence of ST-elevations. This most likely reflects the protective role of coronary collaterals [8] from ST-elevation in addition to an increased likelihood for small side branch occlusion. In addition to a higher likelihood for development of chronic CAD [5], diabetes has multiple effects on risk of myocardial infarction including alterations in artery wall and plaque remodeling [28] and thrombogenesis [29]. Atrial fibrillation was also associated with MI without ST-elevations in our study. This may be due to ongoing oral anticoagulation therapy for stroke prevention [30] that also prevents formation of totally occlusive coronary thrombus. Our finding of association between malignancy and absence of ST-elevations is in agreement of a previous study of MI in cancer patients [31], and is likely to be due to cancer related abnormalities in coagulation and thrombosis [32], and the effects of anticancer therapies [33]. Previous studies originating from US [11], Ireland [14], and Italy [34] have reported constantly declining proportions of STEMI among MI patients in recent years. We found the proportion of STEMI to slightly decline during 2001–2004, but contradictory to previous findings, proportion of STEMI steadily increased from 2004 onwards. Reasons for this discrepancy require further study, but the end in the decline of blood pressures in addition to increase in obesity [26] and binge drinking [35] during recent years in Finland are potential contributors. The current study has limitations associated with use of retrospective hospital registry data. Thus, diagnoses were made by treating physicians, which may have affected the included patient population. Hospital discharge data has, however, proved to be a valuable source of information on cardiovascular disease [36]. The nationwide hospital discharge registry utilized here is government maintained, automatic, and mandatory thus capturing information of all hospital admissions and resulting in accurate information on cardiovascular disease [37], [38]. In addition to a small number of inevitable coding inaccuracies [38], diagnostic inaccuracies may be a potential source of error. As treatment choices in MI rely heavily on distinction between STEMI and NSTEMI, the correct interpretation of electrocardiography and resulting diagnostic classification are however major priorities among physicians treating patients with an acute coronary syndrome. In order to minimize misdiagnosis of MI in chest pain patients with non-coronary causes such as extra-cordial pain, myocarditis, aortic dissection, or pulmonary embolism [39], [40] we included only patients treated in hospitals with coronary angiolaboratory. Therefore, patients who did not reach hospital due to e.g. sudden cardiac death associated with myocardial infarction were not included. In conclusion, myocardial infarction presents with ST-elevations more commonly in men and the presence of ST-elevations decreases with increasing age. Diabetes, atrial fibrillation, peripheral or cerebral artery disease, chronic pulmonary disease, malignancy, and renal insufficiency are associated with absence of ST-elevations in myocardial infarction. These findings may help to predict likelihood of ST-elevations in a patient with myocardial infarction.
  40 in total

Review 1.  Interaction of hemostatic genetics with hormone therapy: new insights to explain arterial thrombosis in postmenopausal women.

Authors:  Joel B Braunstein; Dawn Warner Kershner; Paul Bray; Gary Gerstenblith; Steven P Schulman; Wendy S Post; Roger S Blumenthal
Journal:  Chest       Date:  2002-03       Impact factor: 9.410

2.  Age, period and cohort analysis of light and binge drinking in Finland, 1968-2008.

Authors:  Janne T Härkönen; Pia Mäkelä
Journal:  Alcohol Alcohol       Date:  2011 May-Jun       Impact factor: 2.826

3.  Third universal definition of myocardial infarction.

Authors:  Kristian Thygesen; Joseph S Alpert; Allan S Jaffe; Maarten L Simoons; Bernard R Chaitman; Harvey D White; Kristian Thygesen; Joseph S Alpert; Harvey D White; Allan S Jaffe; Hugo A Katus; Fred S Apple; Bertil Lindahl; David A Morrow; Bernard R Chaitman; Peter M Clemmensen; Per Johanson; Hanoch Hod; Richard Underwood; Jeroen J Bax; Jeroen J Bonow; Fausto Pinto; Raymond J Gibbons; Keith A Fox; Dan Atar; L Kristin Newby; Marcello Galvani; Christian W Hamm; Barry F Uretsky; Ph Gabriel Steg; William Wijns; Jean-Pierre Bassand; Phillippe Menasche; Jan Ravkilde; E Magnus Ohman; Elliott M Antman; Lars C Wallentin; Paul W Armstrong; Maarten L Simoons; James L Januzzi; Markku S Nieminen; Mihai Gheorghiade; Gerasimos Filippatos; Russell V Luepker; Stephen P Fortmann; Wayne D Rosamond; Dan Levy; David Wood; Sidney C Smith; Dayi Hu; Jose-Luis Lopez-Sendon; Rose Marie Robertson; Douglas Weaver; Michal Tendera; Alfred A Bove; Alexander N Parkhomenko; Elena J Vasilieva; Shanti Mendis; Jeroen J Bax; Helmut Baumgartner; Claudio Ceconi; Veronica Dean; Christi Deaton; Robert Fagard; Christian Funck-Brentano; David Hasdai; Arno Hoes; Paulus Kirchhof; Juhani Knuuti; Philippe Kolh; Theresa McDonagh; Cyril Moulin; Bogdan A Popescu; Zeljko Reiner; Udo Sechtem; Per Anton Sirnes; Michal Tendera; Adam Torbicki; Alec Vahanian; Stephan Windecker; Joao Morais; Carlos Aguiar; Wael Almahmeed; David O Arnar; Fabio Barili; Kenneth D Bloch; Ann F Bolger; Hans Erik Botker; Biykem Bozkurt; Raffaele Bugiardini; Christopher Cannon; James de Lemos; Franz R Eberli; Edgardo Escobar; Mark Hlatky; Stefan James; Karl B Kern; David J Moliterno; Christian Mueller; Aleksandar N Neskovic; Burkert Mathias Pieske; Steven P Schulman; Robert F Storey; Kathryn A Taubert; Pascal Vranckx; Daniel R Wagner
Journal:  J Am Coll Cardiol       Date:  2012-09-05       Impact factor: 24.094

Review 4.  Prothrombotic changes in diabetes mellitus.

Authors:  Olivier Morel; Laurence Jesel; Malak Abbas; Nicolas Morel
Journal:  Semin Thromb Hemost       Date:  2013-04-29       Impact factor: 4.180

5.  Age-specific gender differences in in-hospital mortality by type of acute myocardial infarction.

Authors:  Zefeng Zhang; Jing Fang; Cathleen Gillespie; Guijing Wang; Yuling Hong; Paula W Yoon
Journal:  Am J Cardiol       Date:  2012-01-14       Impact factor: 2.778

Review 6.  Cancer-related coagulopathies.

Authors:  Marcel Levi
Journal:  Thromb Res       Date:  2014-05       Impact factor: 3.944

7.  Incidence and distribution of occluded culprit arteries and impact of coronary collaterals on outcome in patients with non-ST-segment elevation myocardial infarction and early invasive treatment strategy.

Authors:  Philipp Bahrmann; Justus Rach; Steffen Desch; Gerhard C Schuler; Holger Thiele
Journal:  Clin Res Cardiol       Date:  2010-12-17       Impact factor: 5.460

8.  Population trends in the incidence and outcomes of acute myocardial infarction.

Authors:  Robert W Yeh; Stephen Sidney; Malini Chandra; Michael Sorel; Joseph V Selby; Alan S Go
Journal:  N Engl J Med       Date:  2010-06-10       Impact factor: 91.245

9.  Trends in quality of care for patients with acute myocardial infarction in the National Registry of Myocardial Infarction from 1990 to 2006.

Authors:  Eric D Peterson; Bimal R Shah; Lori Parsons; Charles V Pollack; William J French; John G Canto; C Michael Gibson; William J Rogers
Journal:  Am Heart J       Date:  2008-11-01       Impact factor: 4.749

Review 10.  Diabetes and vessel wall remodelling: from mechanistic insights to regenerative therapies.

Authors:  Gaia Spinetti; Nicolle Kraenkel; Costanza Emanueli; Paolo Madeddu
Journal:  Cardiovasc Res       Date:  2008-02-15       Impact factor: 10.787

View more
  2 in total

1.  Association of the genetic and traditional risk factors of ischaemic heart disease with STEMI and NSTEMI development.

Authors:  Diana Žaliaduonytė-Pekšienė; Vaiva Lesauskaitė; Rasa Liutkevičienė; Vytenis Tamakauskas; Vilius Kviesulaitis; Giedrė Šinkūnaitė-Maršalkienė; Sandrita Šimonytė; Simonita Mačiulskytė; Eglė Tamulevičiūtė-Prascienė; Olivija Gustienė; Abdonas Tamošiūnas; Remigijus Žaliūnas
Journal:  J Renin Angiotensin Aldosterone Syst       Date:  2017 Oct-Dec       Impact factor: 1.636

2.  Association of restaurant smoking ban and the incidence of acute myocardial infarction in Finland.

Authors:  Jussi Olli Tapani Sipilä; Jarmo Mikael Gunn; Tommi Kauko; Päivi Rautava; Ville Kytö
Journal:  BMJ Open       Date:  2016-01-29       Impact factor: 2.692

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.