| Literature DB >> 35629052 |
Roberto Licordari1, Alessandro Sticchi2,3,4, Filippo Mancuso1, Alessandro Caracciolo1, Saverio Muscoli5, Fortunato Iacovelli6, Rossella Ruggiero2,7, Alessandra Scoccia2,7, Valeria Cammalleri5, Marco Pavani8, Marco Loffi9, Domenico Scordino10, Jayme Ferro11, Andrea Rognoni12, Andrea Buono13, Stefano Nava14, Stefano Albani15, Iginio Colaiori16, Filippo Zilio17, Marco Borghesi17, Valentina Regazzoni9, Stefano Benenati18, Fabio Pescetelli18, Vincenzo De Marzo18, Antonia Mannarini6, Francesco Spione6, Doronzo Baldassarre8, Michele De Benedictis8, Roberto Bonmassari17, Gian Battista Danzi9, Mario Galli11, Alfonso Ielasi13, Giuseppe Musumeci15, Fabrizio Tomai10, Vincenzo Pasceri19, Italo Porto18, Giuseppe Patti12, Gianluca Campo7, Antonio Colombo2, Antonio Micari1, Francesco Giannini2, Francesco Costa1.
Abstract
BACKGROUND: The COVID-19 pandemic increased the complexity of the clinical management and pharmacological treatment of patients presenting with an Acute Coronary Syndrome (ACS). AIM: to explore the incidence and prognostic impact of in-hospital bleeding in patients presenting with ACS before and during the COVID-19 pandemic.Entities:
Keywords: COVID-19; acute coronary syndrome (ACS); bleeding; in-hospital outcomes; myocardial infarction (MI)
Year: 2022 PMID: 35629052 PMCID: PMC9146584 DOI: 10.3390/jcm11102926
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.964
Figure 1Incidence of in-hospital bleeding before and during the COVID-19 pandemic. Blue segments represent TIMI major bleeding, and orange segments represent TIMI minor bleeding.
Baseline characteristics of the population before and during the pandemic based on the occurrence of in-hospital bleeding.
| Before COVID-19 Pandemic ( | During COVID-19 Pandemic ( | |||||
|---|---|---|---|---|---|---|
| No Bleed | Bleed |
| No Bleed | Bleed |
| |
| Age | 66.9 ± 12.5 | 69 ± 12.9 | 0.20 | 66.8 ± 11.8 | 69.6 ± 13.22 | 0.25 |
| BMI (kg/m2) | 26.4 ± 4.0 | 26.3 ± 4.1 | 0.92 | 26.3 ± 4.0 | 26.1 ± 3.8 | 0.87 |
| Female Sex | 25.70% | 41.70% | 0.005 | 25.50% | 37.50% | 0.19 |
| Hypertension | 69.30% | 67.20% | 0.73 | 69.20% | 83.30% | 0.14 |
| Diabetes Mellitus | 27.70% | 27.90% | 0.97 | 28.80% | 29.20% | 0.96 |
| Dyslipidemia | 50.60% | 37.70% | 0.04 | 50.50% | 37.50% | 0.21 |
| Smoking | 28.00% | 24.60% | 0.56 | 30.80% | 25.00% | 0.54 |
| Ex-smoking | 18.10% | 23.00% | 0.33 | 14.10% | 12.50% | 0.83 |
| Atrial Fibrillation (all forms) | 9.50% | 14.80% | 0.17 | 8.50% | 16.70% | 0.16 |
| History of Heart Failure | 5.10% | 6.60% | 0.61 | 4.60% | 12.50% | 0.08 |
| Valve disease (more than mild) | 0.30% | 3.30% | <0.001 | 0.00% | 0.00% | N.A. |
| COPD | 7.80% | 16.70% | 0.01 | 8.20% | 8.30% | 0.98 |
| Respiratory/Pulmonary disease | 0.50% | 1.60% | 0.21 | 0.40% | 0.00% | 0.74 |
| Neurological disease | 0.50% | 3.30% | 0.004 | 0.60% | 0.00% | 0.70 |
| Chronic kidney disease (GFR < 60 mL/min) | 11.20% | 21.30% | 0.01 | 12.80% | 25.00% | 0.08 |
| Hemorrhagic diathesis | 1.00% | 4.90% | 0.004 | 0.00% | 0.00% | N.A. |
| Thrombotic diathesis | 1.10% | 3.30% | 0.12 | 0.40% | 0.00% | 0.74 |
| Anemia | 0.30% | 4.90% | <0.001 | 0.30% | 0.00% | 0.79 |
| Inflammatory/Infective disease | 1.80% | 1.60% | 0.93 | 1.20% | 0.00% | 0.59 |
| Previous oncological disease | 1.20% | 6.60% | 0.001 | 0.40% | 4.20% | 0.01 |
| Previous PCI | 22.60% | 24.60% | 0.71 | 22.00% | 16.70% | 0.53 |
| Previous CABG | 5.70% | 3.30% | 0.42 | 4.60% | 12.50% | 0.07 |
| Previous MI | 20.30% | 24.60% | 0.41 | 19.20% | 16.70% | 0.75 |
| Previous Stroke/TIA | 4.10% | 11.50% | 0.006 | 4.70% | 0.00% | 0.27 |
| Atypical symptoms at presentation | 13.00% | 24.60% | 0.009 | 14.80% | 16.70% | 0.80 |
| Dyspnea | 12.50% | 31.10% | <0.001 | 13.30% | 16.70% | 0.63 |
| Respiratory impairment | 5.70% | 24.60% | <0.001 | 6.90% | 8.30% | 0.78 |
| Fever | 1.60% | 3.30% | 0.32 | 4.90% | 8.30% | 0.46 |
| Heart Failure (at the presentation) | 12.80% | 21.30% | 0.05 | 12.50% | 12.50% | 0.99 |
| Killip >1 at presentation | 29.4% | 44.8% | 0.01 | 39.8% | 29.2% | 0.29 |
| Night Presentation | 22.10% | 27.90% | 0.28 | 20.40% | 12.50% | 0.34 |
| EF (%; at presentation) | 48.7 ± 9.8 | 45.3 ± 10 | 0.009 | 47.3 ± 9.9 | 42 ± 9.0 | 0.02 |
| Time Door to Balloon (minutes) | 315 ± 2504 | 274 ± 573 | 0.92 | 228 ± 573 | 138 ± 322 | 0.50 |
| Time Symptoms to Cath-lab door (minutes) | 1043 ± 3339 | 1108 ± 2718 | 0.90 | 1264 ± 3689 | 651 ± 975 | 0.45 |
| Time Symptoms to Emergency call (minutes) | 533 ± 1607 | 612 ± 2322 | 0.77 | 817 ± 2670 | 828 ± 1848 | 0.98 |
| Cardiac arrest before cathlab | 3.50% | 6.60% | 0.20 | 2.80% | 8.30% | 0.11 |
| STEMI | 43.2% | 443% | 0.16 | 46.9% | 56 | 0.49 |
| NSTEMI | 39.20% | 42.60% | 0.16 | 35.80% | 36.00% | 0.49 |
| Unstable Angina | 13.10% | 4.90% | 0.16 | 9.60% | 8.00% | 0.49 |
| MINOCA | 3.2% | 5.2% | 0.20 | 4.2% | 0% | 0.23 |
| TakoTsubo Syndrome | 1.3% | 3% | 0.75 | 3.5% | 0% | 0.29 |
| Thrombotic occlusion | 37.60% | 31.10% | 0.30 | 37.30% | 47.80% | 0.30 |
| Thrombus Aspiration | 17.50% | 9.80% | 0.12 | 14.70% | 8.30% | 0.38 |
| Number of stent implanted | 0.82 ± 0.34 | 0.79 ± 0.41 | 0.53 | 0.80 ± 0.45 | 0.80 ± 0.50 | 0.96 |
| Fibrinolysis | 0.20% | 1.60% | 0.04 | 0.00% | 0.00% | N.A. |
| GP IIB/IIIA use | 10.90% | 14.80% | 0.35 | 9.70% | 0.00% | 0.11 |
| Any Ventricular Support | 3.00% | 6.50% | 0.12 | 3.20% | 8.00% | 0.19 |
| Arrhythmic complications during procedure | 4.30% | 8.30% | 0.14 | 4.30% | 12.50% | 0.05 |
| Intrahospital Arrhythmic Complications | 2.90% | 11.70% | <0.001 | 2.50% | 16.70% | <0.001 |
| Mechanical Complications | 1.10% | 8.30% | <0.001 | 2.40% | 12.50% | 0.003 |
BMI = body mass index; COPD = chronic obstructive pulmonary disease; PCI = percutaneous coronary intervention; CABG = coronary artery bypass graft; MI = myocardial infarction; TIA = transient ischemic attack; EF = ejection fraction; STEMI = ST-segment elevated myocardial infarction; NSTEMI = non ST-segment elevated myocardial infarction; GP = glycoprotein; MINOCA = Myocardial Infarction with Non Obstructive Coronary Arteries; N.A. = Not Available.
Figure 2Kaplan-Meier curves for TIMI major or minor bleeding in patients admitted with acute coronary syndrome before and during COVID-19 pandemic.
Figure 3The impact of bleeding on mortality in acute coronary syndrome patients before and during the COVID-19 pandemic.