| Literature DB >> 34274091 |
André Azul Freitas1, Rui Baptista2, Valdirene Gonçalves3, Cátia Ferreira3, James Milner3, Carolina Lourenço3, Susana Costa3, Fátima Franco3, Sílvia Monteiro3, Francisco Gonçalves3, Lino Gonçalves4.
Abstract
INTRODUCTION: Coronavirus disease (COVID-19) has led to significant changes in healthcare systems and its impact on the treatment of cardiovascular conditions, such as ST-elevation myocardial infarction (STEMI), is unknown in countries where the healthcare systems were not saturated, as was the case in Portugal. As such, we aimed to assess the effect on STEMI admissions and outcomes in Portuguese centers.Entities:
Keywords: COVID-19; Coronavírus 2019; EAMcSST; Emergency medical system; SARS-CoV-2; STEMI; Sistema de emergência médica
Year: 2021 PMID: 34274091 PMCID: PMC8278193 DOI: 10.1016/j.repce.2021.07.014
Source DB: PubMed Journal: Rev Port Cardiol (Engl Ed) ISSN: 2174-2049
Figure 1(a) Weekly ST-elevation myocardial infarction (STEMI) admissions from week 1 (starting on 1 March) to week 8 (ending on 31 May). A decrease was evident in the first week, but afterwards, the incidence was similar over the weeks. (b) Comparison of mean weekly STEMI admissions showing a similar incidence between years. STEMI: ST-elevation myocardial infarction.
Comparison of STEMI patients’ baseline characteristics between March and April 2020 versus the same period of 2019. Categorical variables are expressed in frequencies, and percentages and numerical variables in means and standard deviations.
| March and April 2019 | March and April 2020 | p-value | |
|---|---|---|---|
| Patients | 55 | 49 | |
| Weekly STEMI patients | 6.9±1.9 | 6.1±2.4 | 0.494 |
| Age, years | 61.9±12 | 64.5±13.8 | 0.308 |
| Male gender | 46 (84.8%) | 38 (77.6%) | 0.295 |
| Hypertension | 35 (63.6%) | 38 (77.6%) | 0.091 |
| Type 2 diabetes | 16 (29.1%) | 11 (22.4%) | 0.293 |
| Dyslipidemia | 29 (52.7%) | 32 (65.3%) | 0.135 |
| Clinical HF | 3 (5.5%) | 1 (2%) | 0.354 |
| Chronic kidney disease | 4 (7.3%) | 2 (4.1%) | 0.396 |
| Previous stroke | 2 (3.6%) | 3 (6.1%) | 0.445 |
| Current smoker | 24 (43.6%) | 18 (36.7%) | 0.303 |
| Creatinine, mg/dL | 1.1±0.7 | 1.1±0.5 | 0.769 |
| Previous peripheral arterial disease | 2 (3.6%) | 1 (2%) | 0.721 |
| Previous myocardial Infarction | 1 (1.8%) | 1 (2%) | 0.872 |
| Previous PCI | 1 (1.8%) | 1 (2%) | 0.872 |
| Previous CABG | 0 | 0 | |
| Pre-hospital emergency medical service | 21 (38.2%) | 10 (20.4%) | 0.038 |
| Patient delay, min | 240 [120-570] | 360 [120-600] | 0.940 |
| System delay, min | 49 [30-110.25] | 140 [90-180] | 0.019 |
| Killip-Kimball class | 1.4±0.8 | 1.9±1.2 | 0.006 |
| I | 41 (74.5%) | 25 (51%) | |
| II | 10 (18.2%) | 11 (22.4%) | |
| III | 1 (1.8%) | 4 (8.2%) | |
| IV | 3 (5.5%) | 9 (18.4%) |
CABG: coronary artery bypass graft; HF: heart failure; PCI: percutaneous coronary intervention; STEMI: ST-elevation myocardial infarction.
Comparison of in-hospital data and evolution of ST-elevation myocardial infarction patients between March and April 2020 versus the same period of 2019. Categorical variables are expressed in frequencies and percentages and numerical variables in means and standard deviations.
| March and April 2019 | March and April 2020 | p-value | |
|---|---|---|---|
| Fibrinolysis | 2 (3.6%) | 7 (14.3%) | 0.056 |
| Interhospital transfer | 21 (38.2%) | 25 (51%) | 0.132 |
| Cardiorespiratory arrest at admission | 5 (9.1%) | 4 (13.3%) | 0.396 |
| Successful PCI | 55 (100%) | 46 (93.9%) | 0.101 |
| Multi vessel disease | 34 (61.8%) | 26 (53.1%) | 0.241 |
| Mechanical ventilation | 2 (3.6%) | 7 (14.3%) | 0.056 |
| Ischemia after PCI | 10 (18.5%) | 8 (16.3%) | 0.488 |
| Arrhythmia after PCI | 4 (7.4%) | 6 (12.2%) | 0.310 |
| Vasoactive support | 2 (3.7%) | 13 (26.5%) | 0.001 |
| Need for non-culprit PCI | 16 (29.1%) | 13 (26.5%) | 0.517 |
| Discharge LVEF, % | 47.5±11.1 | 43.9±13.8 | 0.225 |
| LVEF<35% at discharge | 2 (3.6%) | 8 (16.3%) | 0.03 |
| In-hospital death | 4 (7.3%) | 7 (14.3%) | 0.200 |
| • Before primary PCI (in the ED) | 1 (25%) | 2 (28.6%) | 0.721 |
| • Within 24h of admission | 1 (25%) | 1 (14.3%) | 0.618 |
| • After 24h and within first week | 1 (25%) | 3 (42.9%) | 0.530 |
| • After first week of admission | 1 (25%) | 1 (14.3%) | 0.618 |
| • Anoxic encephalopathy-associated | 0 | 1 (14.3%) | 0.636 |
ED: emergency department; LVEF: left ventricular ejection fraction; PCI: percutaneous coronary intervention.
Figure 2Comparison of Killip-Kimball class on admission between 2019 and 2020. A significant (p=0.038) increase in class III and IV patients was noted in 2020.
Figure 3In-hospital mortality per month. An increase in death was seen in March and April 2020 in comparison with 2019.