| Literature DB >> 35473672 |
Jing Gao1,2,3, Peng-Ju Lu4, Chang-Ping Li5, Hui Wang5, Ji-Xiang Wang4, Nan Zhang4, Xiao-Wei Li4, Hai-Wang Zhao4, Jing Dou4, Miao-Na Bai4, Yu-Tian Shi4, Jia Zhao4, Chun Zan4, Yin Liu6.
Abstract
BACKGROUND: COVID-19 affects healthcare resource allocation, which could lead to treatment delay and poor outcomes in patients with acute myocardial infarction (AMI). We assessed the impact of the COVID-19 pandemic on AMI outcomes.Entities:
Keywords: Acute myocardial infarction; Coronavirus disease-2019; First medical contact time; Major adverse cardiac event
Mesh:
Year: 2022 PMID: 35473672 PMCID: PMC9040353 DOI: 10.1186/s12872-022-02626-5
Source DB: PubMed Journal: BMC Cardiovasc Disord ISSN: 1471-2261 Impact factor: 2.174
Fig. 1Management of suspected AMI patients during the COVID-19 pandemic. a STEMI patients. b NSTEMI patients
Baseline characteristics of patients with acute myocardial infarction in non-COVID-19 and COVID-19 pandemic periods
| AMI | STEMI | NSTEMI | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Group 1 | Group 2 | Group 1 | Group 2 | Group 1 | Group 2(n = 43) | ||||
| Age, years, mean ± SD/median(IQR) | 64 (57.0,72.0) | 64 (55.3,70.0) | 0.306 | 63.1 ± 12.6 | 62.7 ± 11.6 | 0.809 | 68.0 (59.0,72.0) | 66.0 (56.0,71.0) | 0.211 |
| Gender/male, n (%) | 190 (74.8) | 95 (76.6) | 0.701 | 114 (74.5) | 62 (76.5) | 0.732 | 76 (75.3) | 33 (76.7) | 0.848 |
| Diabetes mellitus, n (%) | 86 (35.5) | 36 (34.3) | 0.823 | 48 (32.0) | 26 (34.7) | 0.688 | 38 (41.3) | 10 (33.3) | 0.438 |
| Hypertension, n (%) | 157 (64.9) | 62 (59.0) | 0.301 | 98 (65.3) | 45 (60.0) | 0.433 | 59 (64.1) | 17 (56.7) | 0.464 |
| Prior MI, n (%) | 14 (5.8) | 11 (10.5) | 0.121 | 3 (2.0) | 4 (5.3) | 0.342 | 11 (12.0) | 7 (23.3) | 0.219 |
| Prior CAD, n (%) | 11 (4.5) | 5 (4.8) | 0.930 | 3 (2.0) | 2 (2.7) | 1.000 | 8 (8.7) | 3 (10.0) | 1.000 |
| Prior PCI, n (%) | 18 (92.6) | 11 (10.5) | 0.348 | 9 (6.0) | 6 (8.0) | 0.571 | 9 (9.8) | 5 (16.7) | 0.486 |
| Prior CABG, n (%) | 7 (2.9) | 3 (2.9) | 0.986 | 4 (2.7) | 1 (1.3) | 0.873 | 3 (3.3) | 2 (6.7) | 0.774 |
| Smoker, n (%) | 154 (71.6) | 61 (28.4) | 0.329 | 96 (64.0) | 40 (53.3) | 0.123 | 58 (63.0) | 21 (70.0) | 0.489 |
| Alcohol use, n (%) | 75 (31.0) | 37 (35.2) | 0.437 | 47 (31.3) | 26 ( 34.7) | 0.615 | 28 (30.4) | 11 (36.7) | 0.525 |
| Systolic pressure (mmHg), mean ± SD/median (IQR) | 139 (126.0,159.5) | 145 (123.0,160.0) | 0.476 | 141.1 ± 23.2 | 145.3 ± 30.3 | 0.288 | 139.0 (125.5,160.0) | 142.0 (125.0,154.0) | 0.441 |
| Diastolic pressure (mm Hg), mean ± SD/median (IQR) | 82 (72.0,95.0) | 87 (73.8,98.0) | 0.101 | 85.0 ± 16.9 | 88.3 ± 18.2 | 0.168 | 82.0 ± 14.4 | 84.3 ± 17.2 | 0.416 |
| Heart rate (beats per min), median (IQR) | 76 (66.0,90.0) | 80.5 (71.0,93.0) | 0.017* | 75.0 (64.0,89.0) | 80.0 (69.0,88.0) | 0.047 | 78.0 (70.0,91.0) | 82.0 (76.0,100.0) | 0.015 |
| cTNI (ng/mL),median (IQR) | 1.20 (0.63,2.46) | 1.23 (0.65,3.08) | 0.618 | 1.14 (0.60,2.16) | 1.23 (0.69,3.62) | 0.188 | 1.22 (0.65,2.76) | 1.10 (0.36,2.13) | 0.377 |
| LVEF, median (IQR) | 50 (42.3,56.0) | 50 (41.0,56.0) | 0.647 | 48.0 (42.0,55.0) | 50.0 (42.0,55.0) | 0.368 | 55.0 (45.0,57.0) | 52.0 (42.0,56.0) | 0.193 |
| Arrhythmia, n (%) | 19 (7.4) | 11 (8.9) | 0.639 | 11 (7.2) | 8 (9.9) | 0.474 | 8 (7.9) | 3 (7.0) | 0.845 |
| Atrial fibrillation | 8 (3.1) | 4 (3.2) | 5 (3.3) | 3 (3.7) | 3 (3.0) | 1 (2.3) | |||
| Ventricular tachycardia | 4 (1.6) | 3 (2.4) | 2 (1.3) | 2 (2.5) | 2 (2.0) | 1 (2.3) | |||
| Ventricular fibrillation | 3 (1.2) | 2 (1.6) | 2 (1.3) | 2 (2.5) | 1 (1.0) | 0 (0) | |||
| Atrioventricular block III | 4 (1.6) | 2 (1.6) | 2 (1.3) | 1 (1.2) | 2 (2.0) | 1 (2.3) | |||
| Killip class, n (%) | 0.084 | ||||||||
| 1 | 218 (95.6) | 109 (94.0) | 0.482 | 136 (97.1) | 74 (98.7) | 0.611 | 82 (93.2) | 35 (85.4) | |
| 2 | 8 (3.5) | 3 (2.6) | 2 (1.4) | 0 (0.0) | 6 (6.8) | 3 (7.3) | |||
| 3 | 1 (0.4) | 3 (2.6) | 1 (0.7) | 1 (1.3) | 0 (0.0) | 2 (4.9) | |||
| 4 | 1 (0.4) | 1 (0.9) | 1 (0.7) | 0 (0.0) | 0 (0.0) | 1 (2.4) | |||
| Very-high risk#, n (%) | 19 (18.8) | 13 (30.2) | 0.131 | ||||||
COVID-19 coronavirus disease 2019, AED accident and emergency department, CABG coronary artery bypass graft, ECG electrocardiogram, MI myocardial infarction, NSTEMI non-ST elevation myocardial infarction, PCI percutaneous coronary intervention, STEMI ST elevation myocardial infarction, LVEF left ventricular ejection fraction, cTNT cardiac troponin T, IQR interquartile range
#Risk stratification according to 2015 ESC guidelines of NSEMI *P < 0.05
Comparison of clinical treatment between STEMI patients during non-COVID-19 and COVID-19 pandemic periods
| STEMI | |||
|---|---|---|---|
| Group 1 (n = 153) | Group 2 (n = 81) | ||
| Accident and emergency department | 3 (2.0) | 6 (7.4) | 0.088 |
| In-hospital | 150 (98.0) | 75 (92.6) | |
| 0.236 | |||
| Primary PCI | 100 (65.4) | 20 (24.7) | < 0.001* |
| Thrombolytic therapy | 6 (3.9) | 21 (25.9) | < 0.001* |
| Selective PCI | 9 (5.9) | 14 (17.3) | 0.005* |
| CABG | 0 (0.0) | 0 (0.0) | - |
| 0.236 | |||
| 111.0(55.0,282.0) | 223.5 (118.8,567.3) | < 0.001* | |
| 55.0(48.0,66.0) | 67.5(50.3,116.3) | 0.021* | |
| 189.0(118.0,338.0) | 383.5(198.0,654.0) | 0.018* | |
STEMI ST elevation myocardial infarction, COVID-19 coronavirus disease 2019, DTB door-to-balloon, PCI percutaneous coronary intervention, CABG coronary artery bypass graft, IQR interquartile range
*p < 0.05
Comparison of clinical treatment between NSTEMI patients during non-COVID-19 and COVID-19 pandemic periods
| NSTEMI | |||
|---|---|---|---|
| Group 1 (n = 101) | Group 2 (n = 43) | ||
| 0.001* | |||
| Accident and emergency department | 9 (8.9) | 13 (30.2) | |
| In-hospital | 92 (91.1) | 30 (69.8) | |
| 71 (70.3) | 16 (37.2) | < 0.001* | |
| PCI within 24 h in-hospital | 18 (17.8) | 9 (20.9) | 0.662 |
| PCI after 24 h in-hospital | 44 (43.6) | 7 (16.3) | 0.002* |
| CABG | 9 (8.9) | 0 (0.0) | 0.100 |
| 30 (29.7) | 27 (62.8) | < 0.001* | |
| 236.0 (106.0,675.0) | 412.0 (181.0,839.0) | 0.036* | |
NSTEMI non-ST elevation myocardial infarction, COVID-19 coronavirus disease 2019, FMC first medical contact, PCI percutaneous coronary intervention, CABG coronary artery bypass graft, IQR interquartile range.
*p < 0.05
Outcomes of STEMI and NSTEMI patients in 30-day follow-up
| STEMI | NSTEMI | |||||
|---|---|---|---|---|---|---|
| Group 1 | Group 2 | Group 1 | Group 2 | |||
| 5 (3.3) | 6 (7.4) | 0.363 | 3 (3.0) | 8 (18.6) | < 0.003* | |
| 9 (5.9%) | 8 (9.9%) | 0.534 | 5 (5.0%) | 8 (18.6%) | 0.020* | |
| All-cause death | 5 (3.3) | 6 (7.4) | 0.363 | 3 (3.0) | 8 (18.6) | < 0.003* |
| Recurrent AMI | 0 (0.0) | 0 (0.0) | – | 0 (0.0) | 0 (0.0) | – |
| Heart failure | 1 (0.7) | 2 (2.6) | 0.580 | 0 (0.0) | 0 (0.0) | – |
| Revascularization | 3 (2.1) | 0 (0.0) | 0.502 | 2 (2.2) | 0 (0.0) | 0.910 |
| Stroke | 0 (0.0) | 0 (0.0) | – | 0 (0.0) | 0 (0.0) | – |
STEMI ST elevation myocardial infarction, NSTEMI non-ST elevation myocardial infarction, MACE major adverse cardiac event, MI myocardial infarction.
*p < 0.05
Fig. 2Kaplan–Meier estimates of the risk of MACE and all-cause mortality during the non-COVID-19 and COVID-19 pandemic periods. Comparison of 30-day major adverse cardiovascular event-free survival rate between a STEMI and b NSTEMI patients in the non-COVID-19 and COVID-19 pandemic periods. Comparison of 30-day all-cause death-free survival rate between c STEMI and d NSTEMI patients in the non-COVID-19 and COVID-19 pandemic periods