Literature DB >> 32628144

Baseline clinical characteristics and patient profile of the TURKMI registry: Results of a nation-wide acute myocardial infarction registry in Turkey.

Mustafa Kemal Erol1, Meral Kayıkçıoğlu2, Mustafa Kılıçkap3, Can Baba Arın4, Ibrahim Halil Kurt5, Ibrahim Aktaş6, Yılmaz Güneş7, Eyüp Özkan8, Taner Şen9, Orhan Ince10, Ender Örnek11, Ramazan Asoğlu12, Nesim Aladağ13, Utku Zeybey14, Ümit Yaşar Sinan15, Muhammet Dural16, Haşim Tüner17, Arda Doğan18, Mustafa Yenerçağ19, Mehmet Akboğa20, Onur Sinan Deveci21, Mustafa Umut Somuncu22.   

Abstract

OBJECTIVE: The TURKMI registry is designed to provide insight into the characteristics, management from symptom onset to hospital discharge, and outcome of patients with acute myocardial infarction (MI) in Turkey. We report the baseline and clinical characteristics of the TURKMI population.
METHODS: The TURKMI study is a nation-wide registry that was conducted in 50 centers capable of percutaneous coronary intervention selected from each EuroStat NUTS region in Turkey according to population sampling weight, prioritized by the number of hospitals in each region. All consecutive patients with acute MI admitted to coronary care units within 48 hours of symptom onset were prospectively enrolled during a predefined 2-week period between November 1, 2018 and November 16, 2018.
RESULTS: A total of 1930 consecutive patients (mean age, 62.0±13.2 years; 26.1% female) with a diagnosis of acute MI were prospectively enrolled. More than half of the patients were diagnosed with non-ST elevation MI (61.9%), and 38.1% were diagnosed with ST elevation MI. Coronary angiography was performed in 93.7% and, percutaneous coronary intervention was performed in 73.2% of the study population. Fibrinolytic therapy was administered to 13 patients (0.018%). Aspirin was prescribed in 99.3% of the patients, and 94% were on dual antiplatelet therapy at the time of discharge. Beta blockers were prescribed in 85.0%, anti-lipid drugs in 96.3%, angiotensin converting enzyme inhibitors in 58.4%, and angiotensin receptor blockers in 7.9%. Comparison with European countries revealed that TURKMI patients experienced MI at younger ages compared with patients in France, Switzerland, and the United Kingdom. The most prevalent risk factors in the TURKMI population were hypercholesterolemia (60.2%), hypertension (49.5%), smoking (48.8%), and diabetes (37.9%).
CONCLUSION: The nation-wide TURKMI registry revealed that hypercholesterolemia, hypertension, and smoking were the most prevalent risk factors. TURKMI patients were younger compared with patients in European Countries. The TURKMI registry also confirmed that current treatment guidelines are largely adopted into clinical cardiology practice in Turkey in terms of antiplatelet, anti-ischemic, and anti-lipid therapy.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32628144      PMCID: PMC7414807          DOI: 10.14744/AnatolJCardiol.2020.69696

Source DB:  PubMed          Journal:  Anatol J Cardiol        ISSN: 2149-2263            Impact factor:   1.596


Introduction

Management of acute coronary events has evolved rapidly during the past decades (1, 2). Practice guidelines have also improved recommendations with more aggressive targets based on the results of randomized controlled trials. Implementation of these guidelines is associated with an improvement in care and a significant reduction of major adverse coronary events. However, national registries have shown significant gaps between the recommendations of guidelines and their implementation into clinical practice in real-life settings (2). Many countries have reviewed national health policies with the help of these registries to address the extent to which current guidelines have been implemented (3-7). Moreover, many countries continuously revise their health policies to capture updated standards by repeating the national acute coronary registrations in certain time periods. In Turkey, there is no up-to-date registry representing the country’s population of patients with acute myocardial infarction (MI), but there are a few registries that provide information regarding the management of acute MI. Some of these are generalized and based on localized data; most are not representative of the Turkish population (8-10). The only acute MI registry with a high level of representation, TUMAR, was conducted 20 years ago, at a time when noninvasive treatment was more popular and new treatment modalities were not available. Therefore, the results of TUMAR cannot be compared with current practice (11). TURKMI, a nation-wide registry, was conducted to provide insight into the current real-life management of patients with acute MI in cardiology centers representing the population of Turkey. TURKMI also includes demographic information about patients presenting with acute MI in Turkey. In this study, we report the baseline characteristics and patient profile of the TURKMI population (3, 5, 6).

Methods

TURKMI was conducted as a 15-day snapshot registry to enroll consecutive patients with acute MI and evaluate the burden and variation of MI care and outcomes regarding adherence to current practice guidelines in Turkey. The rationale and design of the study have been described in detail previously (12). Briefly, all consecutive patients with acute MI who were admitted to the coronary care units of 50 cardiology clinics within 48 hours of symptom onset were prospectively enrolled between the dates of November 1 and November 15, 2018. The 50 cardiology clinics represented the 12 EuroNUTS statistical regions of Turkey proportional to Turkey’s 2018 census (12, 13). Figure 1 shows the distribution of centers representing Turkey’s population in the 12 EuroNUTS regions. All centers were chosen as emergent centers capable of percutaneous coronary intervention (PCI). There was an angiography team on duty 24 hours a day in 34 centers and an on-call team was available in 16 locations. The study protocol has been reviewed and approved by the Ethics Committee University of Health Sciences, Istanbul Mehmet Akif Ersoy Thoracic and Cardiovascular Surgery Training and Research Hospital (No: 2018-46 on October 9, 2018). Written informed consent was obtained from all participants.
Figure 1

Centers participating in the TURKMI study and the number of patients enrolled

Centers participating in the TURKMI study and the number of patients enrolled Men and women aged 18 years or older were enrolled if they fulfilled the following inclusion criteria; 1) hospitalized within 48 hours of onset of symptoms of the index event, 2) had a final (discharge) diagnosis of acute MI, either ST elevation MI (STEMI) or non-ST elevation (NSTEMI) with positive troponin levels, and 3) provided signed informed consent. Patients unwilling or unable to provide consent were excluded (n=3). Diagnosis of MI was based on both elevated troponin levels and presence of at least 1 of the criteria (12, 14), including symptoms compatible with myocardial ischemia, new, or presumed new significant ST-T wave changes, left bundle branch block (LBBB) on 12-lead electrocardiogram (ECG) or new pathological Q wave on ECG (14). ST elevation consistent with MI was defined as new ST elevation at the J point in at least 2 contiguous leads with the cutoff value of 0.1 mV or higher in all leads except V2 and V3, in which the cutoff values were 0.2 mV or higher in men 40 years or older, 0.25 mV or higher in men younger than 40 years, or 0.15 mV or higher in women (14). In patients who met the MI criteria, STEMI was diagnosed if ST elevation criteria or new or presumed new LBBB was present. Otherwise, a diagnosis of NSTEMI was made. Posterior STEMI was diagnosed if ST depression in leads V1 to V3 accompanied ST elevation in the inferior and/or lateral leads, or if total or near total lesion was detected in the right coronary artery or circumflex artery in patients who underwent coronary angiography. All enrolled patients underwent routine clinical assessments and received the standard medical care currently performed in routine clinical practice. According to the TURKMI protocol, prescriptions of drugs and indications of diagnostic or therapeutic procedures were left to participating cardiologists’ decision (12). As an observational protocol, patients did not receive any experimental intervention or treatment because of their participation. Baseline information included patient characteristics, medical history, presenting symptoms, clinical characteristics, electrocardiographic findings, and use of cardiac medications. Each patient’s hospital course was recorded in detail. All medications, including doses used before (on admission), in-hospital, and at the time of discharge, were captured. All available laboratory values, including lipid profile, fasting blood sugar, creatinine, white blood cell count, hemoglobin, hematocrit, platelet count, triglyceride, HbA1c, thyroid stimulating hormone, and troponin, were also recorded. ECG, echocardiography, and coronary angiography results were recorded and uploaded to an electronic data capture program.

Statistical analysis

All analyses were performed using SPSS 18.0 for Windows (IBM Corp., Armonk, NY), and a P value of less than 0.05 was considered significant. Categorical variables were presented as number and percentage, and were compared using the χ2 test or Fisher’s exact test between independent groups such as sex and risk categories. Graphical methods (e.g., histogram and probability plot) and analytical methods (e.g., Komogrov-Smirnov test) were used to assess whether continuous variables have normal distribution. These variables were given as means ± standard deviation or medians and interquartile range, depending on whether they have normal distribution or not, and were compared using an independent t test or the Mann-Whitney U test.

Results

A total of 1930 consecutive patients (mean age, 62.0±13.2 years; 26.1 % female) in 50 centers with a diagnosis of acute MI were prospectively enrolled between November 1 and November 16, 2018. Women were older than men (68.3±12.8 years vs. 59.8±12.6 years). The centers participating in the study and the number of patients enrolled are shown in Figure 1. Table 1 presents the baseline clinical characteristics of patients regarding presence of ST elevation (38.1% STEMI; 61.9% NSTEMI). A total of 726 (37.6%) patients were admitted to the study centers by referral from other centers that do not have PCI capability (STEMI: 39.9%, n=288; NSTEMI, 36.6%, n=438).
Table 1

Baseline characteristics, cardiovascular risk factors, and clinical history of the TURKMI population

Total n=1930NSTEMI n=1195STEMI n=735P value*
Age, years (median, Q1-Q3)62 (53-71)63 (54-72)60 (51-70)<0.001
Age, year (mean±SD)62±13.263±12.760.4±13.8
Female patients, n (%)504 (26.1)343 (28.7)161 (21.9)<0.001
Body mass index (kg/m2) (median, Q1-Q3)27.4 (25-30.8)27.7 (25.2-31.1)27.1 (24.78-30.1)0.071
Risk factors
Hypertension, n (%)
Based on patient’s self-report955 (49.5)672 (56.2)283 (38.5)<0.001
Dyslipidemia, n (%)
Based on patient’s self-report233 (12.1)161 (13.5)72 (9.8)0.016
Hypercholesterolemia (LDL ≥130 mg/dL or total875 (60.2)588 (64.3)287 (53.1)<0.001
cholesterol ≥200 mg/d or use of LDL-lowering agents)**
Low HDL cholesterol (men: <40 mg/dL; women: <50 mg/dL)837 (56.6)523 (56.5)314 (56.8)0.928
Elevated triglycerides (≥150 mg/dL)612 (43.7)418 (47.6)194 (37.2)<0.001
Dyslipidemia (Presence of any of the above criteria), n (%)1333 (88.3)850 (89.7)483 (86.1)0.037
Diabetes, n (%)
Based on patient’s self-report654 (33.9)448 (37.5)206 (28)<0.001
Based on patient’s self-report and/or use of anti-diabetic agents691 (37.9)472 (41.6)219 (31.9)<0.001
Obesity, n (%)
Based on patient’s self-report112 (5.8)66 (5.5)46 (6.3)0.502
Body mass index ≥30 kg/m2497 (28.7)326 (30.5)171 (25.8)0.034
Smoking, n (%)942 (48.8)529 (44.3)413 (56.2)<0.001
Family history of premature CVD, n (%)188 (9.7)109 (9.1)79 (10.7)0.242
Alcohol, n (%)46 (2.4)24 (2)22 (3)0.168
History of CVD, n (%)
 Coronary involvement (MI and/or CABG and/or PCI)550 (28.5)418 (35)132 (18)<0.001
 Myocardial infarction262 (13.6)190 (15.9)72 (9.8)<0.001
 Percutaneous coronary intervention339 (17.6)258 (21.6)81 (11)<0.001
 Coronary bypass grafting165 (8.5)139 (11.6)26 (3.5)<0.001
 Transient ischemic attack or stroke29 (1.5)13 (1.1)16 (2.2)0.056
 Peripheral arterial disease17 (0.9)10 (0.8)7 (1)0.792
 Heart failure45 (2.3)35 (2.9)10 (1.4)0.027
 Atrial fibrillation23 (1.2)16 (1.3)7 (1)0.447
 Valve surgery5 (0.3)5 (0.4)0 (0)0.164
 Pacemaker/intracardiac defibrillator7 (0.4)5 (0.4)2 (0.3)0.715
 Other25 (1.3)19 (1.6)6 (0.8)0.144
Concomitant disease, n (%)
 Cancer54 (2.8)30 (2.5)24 (3.3)0.329
 Thyroid disease50 (2.6)30 (2.5)20 (2.7)0.777
 Renal failure103 (5.3)72 (6.0)31 (4.2)0.086
 Chronic obstructive lung disease95 (4.9)68 (5.7)27 (3.7)0.047
 Asthma35 (1.8)24 (2)11 (1.5)0.413
 History of bleeding10 (0.5)7 (0.6)3 (0.4)0.750
 Connective tissue disease9 (0.5)6 (0.5)3 (0.4)1.000
 Other142 (7.4)93 (7.8)49 (6.7)0.362

P value denotes the comparison of STEMI and NSTEMI.

As there were missing values in both statin use and lipid levels, analysis was conducted by excluding the missing values.

CABG - coronary artery bypass grafting; CVD - cardiovascular disease; HDL - high density lipoproteins; LDL - low density lipoproteins; MI - myocardial infarction; NSTEMI - non-ST elevation MI; PCI - percutaneous coronary intervention; SD - standard deviation; STEMI - ST elevation MI

Baseline characteristics, cardiovascular risk factors, and clinical history of the TURKMI population P value denotes the comparison of STEMI and NSTEMI. As there were missing values in both statin use and lipid levels, analysis was conducted by excluding the missing values. CABG - coronary artery bypass grafting; CVD - cardiovascular disease; HDL - high density lipoproteins; LDL - low density lipoproteins; MI - myocardial infarction; NSTEMI - non-ST elevation MI; PCI - percutaneous coronary intervention; SD - standard deviation; STEMI - ST elevation MI Patients with NSTEMI were older (p<0.001) (Fig. 2, Table 1). However, 22.1% of the STEMI and 15.7% of the NSTEMI patients were younger than 50 years (Fig. 2). Based on the patients’ self-reporting, half had hypertension and one-third were diabetic. Hypercholesterolemia based on the total cholesterol, LDL cholesterol levels, or use of anti-lipid agents was present in 60.2% of the TURKMI population. Diabetes mellitus, hypertension, and hypercholesterolemia were more common in NSTEMI patients than STEMI patients, whereas smoking was more common in STEMI patients than in NSTEMI patients. In both groups, fewer than 30% were women, and the number of women in the NSTEMI group was significantly higher than in the STEMI group (28.7% vs. 21.9%, p=0.001). History of previous coronary event was documented in 550 (28.5) of the patients. History of previous MI, previous coronary artery bypass surgery, or previous PCI was significantly higher in NSTEMI patients than in STEMI patients. In terms of comorbidities, chronic obstructive pulmonary disease was significantly more common in NSTEMI patients than in STEMI patients (Table 1).
Figure 2

The distribution of age groups of patients hospitalized with acute myocardial infarction in Turkey

The distribution of age groups of patients hospitalized with acute myocardial infarction in Turkey The primary complaints of the patients admitted with acute MI were chest pain (95%), dyspnea (17.8%), palpitations (4.1%), cardiac arrest (1.8%), and syncope (1.7%) (Table 2). Although the prevalence of chest pain was similar in both groups, more patients presented with dyspnea or palpitation in the NSTEMI group than in the STEMI group, whereas cardiac arrest was significantly more frequent in the STEMI group (Table 2). Chest pain was the most common presenting symptom in both women (95.4%) and men (94.8%) (p=0.580), whereas shortness of breath (25.8% vs. 15.4%, p<0.001) and palpitation (6.5% vs. 3.3%, p<0.005) were more common in women. There was no difference in the frequency of chest pain in diabetic and non-diabetic patients (94.4% vs. 94.2%), but diabetic patients had more symptoms of dyspnea than non-diabetic patients (23.7% vs. 14.9%, p<0.001). Cardiac arrest was also significantly higher in patients without diabetes (2.3% vs. 0.9%, p=0.035). The primary symptom was chest pain when the elderly (>70 years) and younger (≤70 years) patients were compared (94.6% vs. 95.2%, p=0.538). In the elderly, dyspnea (27.9% vs. 13.7%, p<0.001) and palpitation (6.0% vs. 3.4%, p=0.009) were significantly more frequent than in younger patients.
Table 2

Presenting symptoms on admission

AllSTEMINSTEMIP value*
Typical chest pain, n (%)1833 (95)698 (95)1135 (95)0.990
Dyspnea, n (%)345 (17.9)112 (15.2)233 (19.5)0.018
Palpitation, n (%)80 (4.1)22 (3)58 (4.9)0.046
Cardiac arrest, n (%)35 (1.8)29 (3.9)6 (0.5)<0.001
Syncope, n (%)33 (1.7)17 (2.3)16 (1.3)0.109
Other, n (%)129 (6.7)53 (7.2)76 (6.4)0.467
Pain in left and/or right arm, n (%)22 (1.1)9 (1.2)13 (1.1)0.784

P value denotes the comparison of STEMI and NSTEMI.

NSTEMI - non-ST elevation myocardial infarction; STEMI - ST elevation myocardial infarction

Presenting symptoms on admission P value denotes the comparison of STEMI and NSTEMI. NSTEMI - non-ST elevation myocardial infarction; STEMI - ST elevation myocardial infarction On admission, both mean systolic and diastolic blood pressure (BP) levels were significantly higher in NSTEMI patients compared with STEMI patients (systolic BP: 139±25 mm Hg vs. 127±26 mm Hg, p<0.001; diastolic BP: 81±15 mm Hg vs. 77±16 mm Hg, p<0.001). The laboratory and ECG findings of the TURKMI population are presented in Table 3.
Table 3

Laboratory and electrocardiographic findings of the TURKMI patients

NSTEMISTEMITotalP value*
Laboratory findings (Mean±SD)
Blood glucose, mg/dL128.94±57.51138.01±64.59132.31±60.370.001
Creatinine1.17±2.021.03±0.721.12±1.660.019
White blood cell10.2±3.4913.45±29.1411.44±18.25<0.001
Total cholesterol, mg/dL194.23±52193.12±49.73193.81±51.150.499
LDL cholesterol, mg/dL (median 25%–75%)119 (90.1-148.0)121 (98-150)120 (94-149)0.135
HDL cholesterol, mg/dL41.42±10.8240.92±9.7641.23±10.430.543
Triglycerides, mg/dL171.5±121.17151.91±119.65164.15±120.93<0.001
Electrocardiography findings on admission
Rhythm, n (%)
 Sinus1083 (90.6)679 (92.4)1762 (91.3)0.185
 Atrial fibrillation/flutter78 (6.5)33 (4.4)110 (5.7)0.046
 Pacemaker5 (0.4)0 (0)5 (0.3)0.164
 Ventricular fibrillation/flutter2 (0.2)7 (1)9 (0.5)0.032
 Others10 (0.8)13 (1.8)23 (1.2)0.067
Rate (pulse/min), median (Q1-Q3)79 (70-91)80 (68-92)79 (69-91)0.319
New LBBB, n (%)22 (1.9)12 (1.7)34 (1.8)0.680
New RBBB n (%)41 (3.5)27 (3.7)68 (3.6)0.846
AV block, n (%)14 (1.2)30 (4.2)44 (2.3)<0.001
ST segment depression in 2 adjacent derivations ≥1 mm, n (%)362 (31)467 (64.6)829 (43.8)<0.001
T wave inversion, n (%)353 (30.3)124 (17.2)477 (25.3)<0.001
Non-specific ST/T changes, n (%)353 (30.3)78 (10.9)431 (22.9)<0.001

P value denotes the comparison of STEMI and NSTEMI.

AV- atrioventricular block; LBBB - left bundle branch block; HDL - high density lipoprotein; LDL - low density lipoprotein; NSTEMI - non-ST elevation myocardial infarction;

RBBB - right bundle branch block; STEMI - ST elevation myocardial infarction

Laboratory and electrocardiographic findings of the TURKMI patients P value denotes the comparison of STEMI and NSTEMI. AV- atrioventricular block; LBBB - left bundle branch block; HDL - high density lipoprotein; LDL - low density lipoprotein; NSTEMI - non-ST elevation myocardial infarction; RBBB - right bundle branch block; STEMI - ST elevation myocardial infarction NSTEMI patients were classified according to the European Society of Cardiology guideline criteria (15) as low risk (29.4%), moderate risk (34.3%), high risk (33%), and very high risk (3.2%) at admission. Meanwhile, at the time of admission, 76.3% STEMI patients were Killip class I, 17.2% were class II, 2.7% were class III, and 3.7% were class IV (Fig. 3). Patients’ medications on admission and at the time of discharge are summarized in Table 4. On admission, more NSTEMI patients were on anti-platelets (aspirin, clopidogrel), beta blockers, calcium antagonists, anti-lipid agents, ACE inhibitors, diuretics, and anti-diabetic drugs compared with STEMI patients.
Figure 3

(a) Risk classification of patients with NSTEMI. (b) Killip classification of patients with STEMI

Table 4

Medications on admission and prescribed at discharge

TotalNSTEMISTEMIP value*
Medications on admission, n (%)
Antiplatelet agents
 Acetyl salicylic acid534 (29.8)395 (35.3)139 (20.7)<0.001
 Clopidogrel208 (11.6)168 (15)40 (6)<0.001
 Ticagrelor26 (1.5)18 (1.6)8 (1.2)0.475
 Prasugrel3 (0.2)2 (0.2)1 (0.1)-[]
Beta blockers397 (22.2)311 (27.8)86 (12.8)<0.001
Calcium antagonists243 (13.6)170 (15.2)73 (10.9)0.010
Nitrates70 (3.9)64 (5.7)6 (0.9)<0.001
Anti-lipid agents256 (14.3)203 (18.2)53 (7.9)<0.001
ACE inhibitors284 (15.9)205 (18.3)79 (11.8)<0.001
Medications prescribed at discharge, n (%)
Antiplatelet agents
 Acetyl salicylic acid1830 (99.3)1141 (99)689 (99.9)0.038
 Clopidogrel930 (50.5)689 (59.8)241 (34.9)<0.001
 Ticagrelor750 (40.7)354 (30.7)396 (57.4)<0.001
 Prasugrel58 (3.1)22 (1.9)36 (5.2)<0.001
 Dual antiplatelet therapy1731 (94)1059 (91.9)672 (97.4)<0.001
Anticoagulant agents68 (3.5)53 (4.4)15 (2)
 Warfarin28 (1.5)21 (1.8)7 (1)
 Dabigatran7 (0.4)6 (0.5)1 (0.1)0.270
 Rivaroxaban9 (0.5)6 (0.5)3 (0.4)1,000
 Apiksaban20 (1.1)17 (1.4)3 (0.4)0.040
 Edoxaban4 (0.2)3 (0.3)1 (0.1)-[]
Beta blockers1544 (85.0)965 (84.5)579 (85.9)0.418
Calcium antagonists246 (13.5)192 (16.8)54 (8.0)<0.001
Anti-lipid agents1756 (96.3)1103 (96.2)653 (96.3)0.944
Diuretics298 (16.4)204 (17.9)94 (13.9)0.029
ACE inhibitors1061 (58.4)645 (56.5)416 (61.7)0.029
Angiotension receptor blockers144 (7.9)103 (9.0)41 (6.1)0.025
Digitalis9 (0.5)7 (0.6)2 (0.3)0.498
Anti-arrhythmic agents24 (1.3)16 (1.4)8 (1.2)0.700
Nitrates152 (8.4)124 (10.9)28 (4.2)<0.001
Anti-diabetic agents208 (11.5)145 (12.7)63 (9.3)0.030

P value denotes the comparison of STEMI and NSTEMI.

Not analyzed.

ACE - angiotension converting enzyme; NSTEMI - non-ST elevation myocardial infarction; STEMI - ST elevation myocardial infarction

(a) Risk classification of patients with NSTEMI. (b) Killip classification of patients with STEMI Medications on admission and prescribed at discharge P value denotes the comparison of STEMI and NSTEMI. Not analyzed. ACE - angiotension converting enzyme; NSTEMI - non-ST elevation myocardial infarction; STEMI - ST elevation myocardial infarction Coronary angiography was performed in 93.7% of the study population, and PCI was performed in 73.2% at index hospitalization. The proportions of coronary angiography and PCI were significantly higher in STEMI patients compared with NSTEMI patients (98.8% vs. 90.5%, p<0.001; 94.4% vs. 60.2%, p<0.001, respectively). Fibrinolytic therapy was administered to only 13 patients (0.018%). During the PCI mostly unfractionated heparin was used as an anticoagulant (96.3% overall; 97.0% in STEMI; 95.7% in NSTEMI). The use of low molecular weight heparin was exceptionally low. In 12.4% of the patients, a GPIIb/IIIa inhibitor was used during the procedure, with use being significantly higher in patients with STEMI (18.5% vs. 8.5%). The drugs given at discharge are noted in Table 4. Almost all patients were put on antiplatelet therapy. Aspirin was prescribed in 99.3% of the patients, and 94% were on dual antiplatelet therapy (DAPT). Among the DAPT drugs used, clopidogrel was the most preferred drug at 50.5%, followed by ticagrelor in 40.7% and prasugrel in 3.1%. Beta blockers were prescribed in 85.0% of patients, anti-lipid drugs in 96.3%, ACE inhibitors in 58.4%, and angiotensin receptor blockers in 7.9%.

Discussion

The baseline characteristics of the TURKMI study provided important information regarding clinical characteristics and the current clinical management of 1930 consecutive patients admitted to cardiology clinics in Turkey with acute MI within 48 hours of the onset of symptoms. A previous registry in Turkey, the TUMAR study, enrolled 3358 patients in 1998 and 1999 with the diagnosis of acute MI who were hospitalized in coronary intensive care units within 24 hours of symptom onset (11). The TUMAR study covered 52 centers from 23 provinces for a period of 1 year. Like the TURKMI study, the TURK-AKS study (16) was designed as a snapshot registry of 1 month, but the primary limitation was a lack of enrollment of consecutive patients. Similar to the TURKMI registry, this study was conducted to evaluate patient profiles, as well as diagnostic and practice patterns in acute coronary syndrome in Turkey. TURKMI enrolled 1930 patients with NSTEMI or STEMI (excluding unstable angina) within a prespecified 2-week period. The TURK-AKS study enrolled 3695 participants with acute coronary syndrome, including unstable angina, within a 3-year period between 2007 and 2010. However, because the TURK-AKS study enrolled patients in a non-consecutive way, its level of representation is expected to be low. The number of patients in TURKMI registry presenting with NSTEMI was higher; 6 out of every 10 MIs are NSTEMI. This proportion of NSTEMI patients (61.9%) was similar to those observed in the American National Registry of Myocardial Infarction and English Myocardial Ischemia National Audit Project registries (Fig. 4) (17, 18). The proportion of NSTEMI patients was slightly higher in the Saudi Arabian registry (66%) than in the TURKMI registry. NSTEMIs constitute 58% of the Algerian and 51% of the French (FAST-MI) registries (6, 7, 19, 20). Meanwhile, in both the Iranian registry and the Japanese Acute Myocardial Infarction Registry, the rate of NSTEMI was much lower (27% and 20%, respectively) (21, 22).
Figure 4

NSTEMI rates (%) in TURKMI and other country’s registries

NSTEMI rates (%) in TURKMI and other country’s registries The mean age of the TURKMI population was 62±13 years. Patients with STEMI were significantly younger than the patients with NSTEMI, which might be explained by the higher rates of collaterals in older patients. TURKMI patients were similar in age compared with Iranian (21), Mexican (23), and Algerian (20) MI patients at the time of the index MI (Fig. 5), whereas the average MI age was younger (56 years) in Saudi Arabian MI patients (19). TURKMI patients experienced MI at younger ages compared with patients in other countries, including France (6, 7), Switzerland (24), the United Kingdom (18), and Japan (Fig. 6) (22). This is most likely associated with the high prevalence of dyslipidemias and smoking in Turkey. Moreover, the high prevalence of consanguinity probably has an important contribution to earlier MIs in Turkey (25).
Figure 5

Mean age in TURKMI verses other acute myocardial infarction registries

Figure 6

Percentage of women enrolled in TURKMI and other registries

Mean age in TURKMI verses other acute myocardial infarction registries Percentage of women enrolled in TURKMI and other registries Evaluation of cardiovascular risk factors revealed that hypercholesterolemia, hypertension, smoking, and diabetes were the most prevalent risk factors in patients presenting with MI in Turkey, as stated in previous analysis (26). The prevalence of smoking was significantly higher than the registries of France (36%), the United States (31%), and England (29%) (6, 7, 17, 18). TURKMI harbors higher smoking rate, with almost half of the MI population being current smokers. The primary complaint was chest pain regardless of the type of MI, sex, age, and presence of diabetes. In the TURKMI study, the proportion of chest pain was 95% compared with 80% in the FAST-MI registry. This difference is probably due to typical chest pain being used as an inclusion criterion in the FAST-MI registry (6, 7). Similar to the FAST-MI study, cardiac arrest was more common in patients with STEMI, and shortness of breath was more prevalent in NSTEMIs in the TURKMI study. This is likely because the NSTEMI group had a higher proportion of women, previous MI, and heart failure. As expected, because of the high proportion of previous cardiovascular disease, the use of aspirin or other anti-platelets, beta blockers, and lipid lowering therapies was prevalent in patients presenting with NSTEMI on admission. TURKMI revealed that guideline-recommended cardivascular medication at discharge is acceptable for many drugs, and that compliance was better than that seen in other national registries. At discharge, almost all patients were on aspirin therapy (99.3%), and 94% were on DAPT. The European Society of Cardiology guideline recommends ticagrelor or prasugrel in preference to clopidogrel as second antiplatelet agents for DAPT. These 3 antiplatelet agents are reimbursed in Turkey. However, other than aspiring, the most common drugs prescribed were clopidogrel (50.5%) and by ticagrelor (40.7%). Only 3.1% of the patients were on prasugrel. Most patients (96.3%) were on lipid lowering treatment at the time of discharge.

Study limitations

As stated in the rationale and design paper (12), TURKMI harbors the same major drawbacks of registries in general. In addition, the number of centers (n=50) could be considered a limitation. However, this number was selected because of budget restrictions. The number of centers in each EurNUTS region was determined proportional to the population to represent the Turkish people appropriately. Also, we selected hospitals capable of PCI, assuming that nearly all acute MI patients would eventually be directed to these centers. Otherwise, we would have missing values for patients who were transferred to other centers. Of note, coronary angiography units and interventional cardiologists are available in all provinces and most major towns in Turkey (27). Therefore, all patients with acute MI in all geographical regions in the country could reach cardiology centers with the capability of performing coronary angiography and percutaneous procedures within 1 hour. Therefore, with the assumption that all acute MI patients, including those who first presented to non-PCI centers, would be admitted or transferred to PCI-capable centers in the index region, all patients admitted within the first 48 hours of symptom onset were included. In contrast to previous registries in Turkey, we enrolled patients consecutively within a prespecified 2-week period, which also increases the level of representation of MI patients in Turkey. However, this type of enrollment might preclude obtaining information regarding seasonal variations of MI (28). Moreover, enrolling only patients presenting alive to cardiology centers will also lead to a bias of exclusion of those who cannot admit to care centers (death, elderly, bedridden, etc.).

Conclusion

The nation-wide TURKMI study outlined the characteristics of patients admitted with acute MI within 48 hours of the onset of symptoms to the selected cardiology centers capable of PCI in Turkey. Turkish MI patients were more likely to have dyslipidemia, diabetes, and smoking history and were younger compared with patients in European Countries. TURKMI also confirmed that current treatment guidelines have largely been adopted into clinical cardiology practice in Turkey in terms of antiplatelet, anti-ischemic, and anti-lipid therapy.
  23 in total

1.  Assessment of Quality Indicators for Acute Myocardial Infarction in the FAST-MI (French Registry of Acute ST-Elevation or Non-ST-Elevation Myocardial Infarction) Registries.

Authors:  François Schiele; Chris P Gale; Tabassome Simon; Keith A A Fox; Hector Bueno; Maddalena Lettino; Marco Tubaro; Etienne Puymirat; Jean Ferrières; Nicolas Meneveau; Nicolas Danchin
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2017-06

2.  Seasonal distribution of acute myocardial infarction in the second National Registry of Myocardial Infarction.

Authors:  F A Spencer; R J Goldberg; R C Becker; J M Gore
Journal:  J Am Coll Cardiol       Date:  1998-05       Impact factor: 24.094

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 A Chaitman; Peter M Clemmensen; Per Johanson; Hanoch Hod; Richard Underwood; Jeroen J Bax; Robert O 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 Menasché; 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; José-Luis Lopez-Sendon; Rose Marie Robertson; Douglas Weaver; Michael Tendera; Alfred A Bove; Alexander N Parkhomenko; Elena J Vasilieva; Shanti Mendis
Journal:  Eur Heart J       Date:  2012-08-24       Impact factor: 29.983

4.  Relationship between adherence to evidence-based pharmacotherapy and long-term mortality after acute myocardial infarction.

Authors:  Jeppe N Rasmussen; Alice Chong; David A Alter
Journal:  JAMA       Date:  2007-01-10       Impact factor: 56.272

5.  Twenty-year trends in profile, management and outcomes of patients with ST-segment elevation myocardial infarction according to use of reperfusion therapy: Data from the FAST-MI program 1995-2015.

Authors:  Etienne Puymirat; Guillaume Cayla; Yves Cottin; Meyer Elbaz; Patrick Henry; Edouard Gerbaud; Gilles Lemesle; Batric Popovic; Jean-Noel Labèque; François Roubille; Stéphane Andrieu; Bruno Farah; François Schiele; Jean Ferrières; Tabassome Simon; Nicolas Danchin
Journal:  Am Heart J       Date:  2019-05-16       Impact factor: 4.749

6.  2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts) Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR).

Authors:  Massimo F Piepoli; Arno W Hoes; Stefan Agewall; Christian Albus; Carlos Brotons; Alberico L Catapano; Marie-Therese Cooney; Ugo Corrà; Bernard Cosyns; Christi Deaton; Ian Graham; Michael Stephen Hall; F D Richard Hobbs; Maja-Lisa Løchen; Herbert Löllgen; Pedro Marques-Vidal; Joep Perk; Eva Prescott; Josep Redon; Dimitrios J Richter; Naveed Sattar; Yvo Smulders; Monica Tiberi; H Bart van der Worp; Ineke van Dis; W M Monique Verschuren
Journal:  Atherosclerosis       Date:  2016-09       Impact factor: 5.162

7.  Risk factors, therapeutic approaches, and in-hospital outcomes in Mexicans with ST-elevation acute myocardial infarction: the RENASICA II multicenter registry.

Authors:  Úrsulo Juárez-Herrera; Carlos Jerjes-Sánchez
Journal:  Clin Cardiol       Date:  2013-03-14       Impact factor: 2.882

8.  2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation: The Task Force for the management of acute myocardial infarction in patients presenting with ST-segment elevation of the European Society of Cardiology (ESC).

Authors:  Borja Ibanez; Stefan James; Stefan Agewall; Manuel J Antunes; Chiara Bucciarelli-Ducci; Héctor Bueno; Alida L P Caforio; Filippo Crea; John A Goudevenos; Sigrun Halvorsen; Gerhard Hindricks; Adnan Kastrati; Mattie J Lenzen; Eva Prescott; Marco Roffi; Marco Valgimigli; Christoph Varenhorst; Pascal Vranckx; Petr Widimský
Journal:  Eur Heart J       Date:  2018-01-07       Impact factor: 29.983

9.  Fasa Registry on Acute Myocardial Infarction (FaRMI): Feasibility Study and Pilot Phase Results.

Authors:  Ehsan Bahramali; Alireza Askari; Habib Zakeri; Mojtaba Farjam; Azizallah Dehghan; Kazem Zendehdel
Journal:  PLoS One       Date:  2016-12-01       Impact factor: 3.240

10.  Rationale, Design, and Baseline Characteristics of the Prospective Japan Acute Myocardial Infarction Registry (JAMIR).

Authors:  Satoshi Honda; Kensaku Nishihira; Sunao Kojima; Misa Takegami; Yasuhide Asaumi; Makoto Suzuki; Masami Kosuge; Jun Takahashi; Yasuhiko Sakata; Morimasa Takayama; Tetsuya Sumiyoshi; Hisao Ogawa; Kazuo Kimura; Satoshi Yasuda
Journal:  Cardiovasc Drugs Ther       Date:  2019-02       Impact factor: 3.727

View more
  5 in total

1.  Time delays in each step from symptom onset to treatment in acute myocardial infarction: Results from a nation-wide TURKMI registry.

Authors:  Mustafa Kemal Erol; Meral Kayıkçıoğlu; Mustafa Kılıçkap; Arda Güler; Önder Öztürk; Burcu Tuncay; Sinan İnci; İsmail Balaban; Fatih Tatar; Ömer Faruk Çırakoğlu; Emine Gazi; Eftal Murat Bakırcı; Çağrı Yayla; Mehmet Ali Astarcıoğlu; Bilge Duran Karaduman; Ekrem Aksu; Yakup Alsancak; Nadir Emlek; Mustafa Kürşat Tigen; Nihan Turhan Cağlar; Ramazan Düz; Mehmet Inanir; Öner Özdoğan; Oğuz Yavuzgil
Journal:  Anatol J Cardiol       Date:  2021-05       Impact factor: 1.596

2.  Prognostic value of CHA2DS2-VASc score in predicting high SYNTAX score and in-hospital mortality for non-ST elevation myocardial infarction in patients without atrial fibrillation.

Authors:  Mehmet Kadri Akboğa; Samet Yılmaz; Rıdvan Yalçın
Journal:  Anatol J Cardiol       Date:  2021-11       Impact factor: 1.596

3.  Treatment delays and in-hospital outcomes in acute myocardial infarction during the COVID-19 pandemic: A nationwide study.

Authors:  Mustafa Kemal Erol; Meral Kayıkçıoğlu; Mustafa Kılıçkap; Arda Güler; Abdullah Yıldırım; Fatih Kahraman; Veysi Can; Sinan Inci; Sadettin Selçuk Baysal; Okan Er; Utku Zeybey; Çağrı Kafkas; Çağrı Yayla; Can Baba Arin; Ibrahim Aktaş; Ahmet Arif Yalçın; Ömer Genç
Journal:  Anatol J Cardiol       Date:  2020-11       Impact factor: 1.596

Review 4.  The landscape of preventive cardiology in Turkey: Challenges and successes.

Authors:  Lale Tokgozoglu; Meral Kayikcioglu; Banu Ekinci
Journal:  Am J Prev Cardiol       Date:  2021-04-14

Review 5.  Premature Myocardial Infarction: A Rising Threat.

Authors:  Meral Kayikcioglu; Hasan Selçuk Ozkan; Burcu Yagmur
Journal:  Balkan Med J       Date:  2022-03-14       Impact factor: 2.021

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.