Literature DB >> 35629052

The Incidence and Impact of In-Hospital Bleeding in Patients with Acute Coronary Syndrome during the COVID-19 Pandemic.

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.
METHODS: We evaluated in-hospital Thrombolysis In Myocardial Infarction (TIMI) major and minor bleeding among 2851 patients with ACS from 17 Italian centers during the first wave of the COVID-19 pandemic (i.e., March-April 2020) and in the same period in the previous two years.
RESULTS: The incidence of in-hospital TIMI major and minor bleeding was similar before and during the COVID-19 pandemic. TIMI major or minor bleeding was associated with a significant threefold increase in all-cause mortality, with a similar prognostic impact before and during the COVID-19 pandemic.
CONCLUSIONS: the incidence and clinical impact of in-hospital bleeding in ACS patients was similar before and during the COVID-19 pandemic. We confirmed a significant and sizable negative prognostic impact of in-hospital bleeding in ACS patients.

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


1. Introduction

Patients with acute coronary syndrome (ACS) and concomitant Coronavirus Disease 19 (COVID-19) have an increased risk of morbidity and mortality and often represent a vulnerable population [1]. A number of registries and case reports suggest an increased incidence of thromboembolic events in patients with COVID-19, justified by systemic inflammation, coagulation activation, hypoxemia and immobilization [2,3,4]. A variety of coagulopathies have been reported in association with COVID-19, including disseminated intravascular coagulation (DIC), sepsis-induced coagulopathy (SIC), venous thromboembolism (VTE), arterial thrombotic complications, and thrombo-inflammation [1]. For this reason, anticoagulation at standard prophylactic doses is often considered for all patients admitted with COVID-19, potentially increasing the risk of bleeding [5,6]. Major bleeding is the most common complication in patients admitted for ACS, and its risk is further increased by a combination of multiple antithrombotic agents [7]. The Global Registry of Acute Coronary Events (GRACE) confirmed a 3.9% rate of major bleeding among patients with ACS [8]. In addition, there is a strong relationship between bleeding, mortality, and recurrent myocardial infarction, and prior registries have shown that major bleeding is associated with an up to 60% increase in in-hospital mortality [9,10,11]. The increased complexity of clinical management and the concomitant pharmacological treatment of patients with ACS during the COVID-19 pandemic still represent a therapeutic challenge [12]. The aim of this study was to explore the incidence, characteristics, and prognostic impact of in-hospital bleeding in patients presenting with ACS during the COVID-19 pandemic and to compare them with those of earlier years.

2. Materials and Methods

We collected data in a multicenter, national, retrospective ACS collaborative registry from 17 high-volume centers in Italy. The study population consisted of all consecutive patients admitted with ACS during 3 time intervals before (i.e., March–April 2018 and 2019) and during the first wave of the COVID-19 pandemic in the participating centers (i.e., March–April 2020). All patients, regardless of whether they underwent percutaneous coronary intervention, were included. Data about demographics, risk factors, previous medical history, procedural information, and in-hospital outcomes were collected. Acute coronary syndrome diagnosis was made following international guidelines [13,14]. In-hospital major and minor bleeding was evaluated and defined according to the Thrombolysis In Myocardial Infarction (TIMI) definition [15]. Baseline characteristics, procedural characteristics, and clinical outcomes were compared in the two study periods (2018–2019 and 2020). The patients’ privacy was guaranteed by the anonymizing process in the data collection phase. Institutional board approval was obtained by the study promotor institution. The study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guidelines for cohort studies.

Statistical Analysis

Continuous variables have been reported as means and standard deviation (SD) or medians and interquartile ranges, as appropriate. Discrete variables have been indicated as counts and percentages. We compared the two groups of patients with ACS included before and during the COVID-19 pandemic (2018–2019 versus [vs.] 2020) to highlight differences in the demographic, procedural, and clinical characteristics using t-test for quantitative variables and chi-square for categorical variables. Univariate and multivariate regression analysis was used to evaluate the association of baseline characteristics with the safety endpoints. Survival analysis using Cox regression was performed to evaluate the prognostic impact of bleeding events in the two study periods, and the heterogeneity of effect was evaluated through interaction testing. Interaction tests were performed with likelihood ratio tests of the null hypothesis that the interaction coefficient was zero. A two-sided probability value < 0.05 was considered significant. All statistical analyses have been computed using SPSS v.26.0 (IBM Corporation, Armonk, NY, USA).

3. Results

Among 2851 patients admitted with acute coronary syndrome (ACS), 2142 (75.1%) were admitted in the period of March–April 2018–2019 before the COVID-19 pandemic and 709 (24.9%) during the first wave of the COVID-19 pandemic in March–April 2020. The hospital stay was 6 ± 5.1 days, and the intrahospital mortality rate was 2.4%. Baseline characteristics of patients included before and after the COVID-19 pandemic are provided in Supplementary Table S1. The incidence of in-hospital TIMI major or minor bleeding was similar in ACS patients before and during the COVID-19 pandemic (Figure 1). Baseline characteristics for patients suffering or not suffering in-hospital bleeding in the two study periods are reported in Table 1. Patients who suffered in-hospital bleeding and had poorer left ventricle ejection fraction (LVEF) were more likely women, with a history of anemia, chronic kidney disease (CKD), and oncological disease, and with no relevant differences in the two study periods. In-hospital bleeding was more common among patients with procedural complications during coronary intervention, such as hypotension or arrhythmic or mechanical complications. Detailed characteristics of the population admitted during the first wave of the COVID-19 pandemic are reported in Supplementary Table S2. During the pandemic, the incidence of bleeding was similar in patients with negative or positive COVID-19 swab (Supplementary Figure S1), with no relevant differences regarding baseline clinical and procedural characteristics (Supplementary Table S3). Univariate and multivariable analysis for TIMI major and minor bleeding is presented in the Supplementary Materials (Supplementary Tables S4 and S5). Kaplan–Meier curves for TIMI major or minor bleeding in patients admitted for ACS before and during the pandemic are presented in Figure 2. Kaplan–Meier curves for patients with positive or negative COVID-19 swab are presented in Supplementary Figure S2. After adjusting for age and gender, the occurrence of TIMI major or minor bleeding was associated with a significant threefold increase in in-hospital mortality (HR 3.33; 95% CI 1.44–7.69; p = 0.005), with no heterogeneity observed for the period before (HR 4.60; 95% CI 1.82–11.64; p = 0.001) and during the COVID-19 pandemic (HR 1.20; 95% CI 0.16–8.91; p = 0,86) (Pint = 0.49) (Figure 3). The results remained consistent when explored by categories of bleeding severity (Supplementary Figure S3).
Figure 1

Incidence of in-hospital bleeding before and during the COVID-19 pandemic. Blue segments represent TIMI major bleeding, and orange segments represent TIMI minor bleeding.

Table 1

Baseline characteristics of the population before and during the pandemic based on the occurrence of in-hospital bleeding.

Before COVID-19 Pandemic (n = 2142)During COVID-19 Pandemic (n = 709)
No Bleed(n = 2080)Bleed(n = 62) p No Bleed(n = 684)Bleed(n = 25) p
Age66.9 ± 12.569 ± 12.90.2066.8 ± 11.869.6 ± 13.220.25
BMI (kg/m2)26.4 ± 4.026.3 ± 4.10.9226.3 ± 4.026.1 ± 3.80.87
Female Sex25.70%41.70%0.00525.50%37.50%0.19
Hypertension69.30%67.20%0.7369.20%83.30%0.14
Diabetes Mellitus27.70%27.90%0.9728.80%29.20%0.96
Dyslipidemia50.60%37.70%0.0450.50%37.50%0.21
Smoking28.00%24.60%0.5630.80%25.00%0.54
Ex-smoking18.10%23.00%0.3314.10%12.50%0.83
Atrial Fibrillation (all forms)9.50%14.80%0.178.50%16.70%0.16
History of Heart Failure5.10%6.60%0.614.60%12.50%0.08
Valve disease (more than mild)0.30%3.30%<0.0010.00%0.00%N.A.
COPD7.80%16.70%0.018.20%8.30%0.98
Respiratory/Pulmonary disease0.50%1.60%0.210.40%0.00%0.74
Neurological disease0.50%3.30%0.0040.60%0.00%0.70
Chronic kidney disease (GFR < 60 mL/min)11.20%21.30%0.0112.80%25.00%0.08
Hemorrhagic diathesis1.00%4.90%0.0040.00%0.00%N.A.
Thrombotic diathesis 1.10%3.30%0.120.40%0.00%0.74
Anemia0.30%4.90%<0.0010.30%0.00%0.79
Inflammatory/Infective disease1.80%1.60%0.931.20%0.00%0.59
Previous oncological disease1.20%6.60%0.0010.40%4.20%0.01
Previous PCI22.60%24.60%0.7122.00%16.70%0.53
Previous CABG5.70%3.30%0.424.60%12.50%0.07
Previous MI20.30%24.60%0.4119.20%16.70%0.75
Previous Stroke/TIA4.10%11.50%0.0064.70%0.00%0.27
Atypical symptoms at presentation13.00%24.60%0.00914.80%16.70%0.80
Dyspnea12.50%31.10%<0.00113.30%16.70%0.63
Respiratory impairment5.70%24.60%<0.0016.90%8.30%0.78
Fever1.60%3.30%0.324.90%8.30%0.46
Heart Failure (at the presentation)12.80%21.30%0.0512.50%12.50%0.99
Killip >1 at presentation29.4%44.8%0.0139.8%29.2%0.29
Night Presentation22.10%27.90%0.2820.40%12.50%0.34
EF (%; at presentation)48.7 ± 9.845.3 ± 100.00947.3 ± 9.942 ± 9.00.02
Time Door to Balloon (minutes)315 ± 2504274 ± 5730.92228 ± 573138 ± 3220.50
Time Symptoms to Cath-lab door (minutes)1043 ± 33391108 ± 27180.901264 ± 3689651 ± 9750.45
Time Symptoms to Emergency call (minutes)533 ± 1607612 ± 23220.77817 ± 2670828 ± 18480.98
Cardiac arrest before cathlab3.50%6.60%0.202.80%8.30%0.11
STEMI43.2%443%0.1646.9%560.49
NSTEMI39.20%42.60%0.1635.80%36.00%0.49
Unstable Angina13.10%4.90%0.169.60%8.00%0.49
MINOCA3.2%5.2%0.204.2%0%0.23
TakoTsubo Syndrome1.3%3%0.753.5%0%0.29
Thrombotic occlusion 37.60%31.10%0.3037.30%47.80%0.30
Thrombus Aspiration17.50%9.80%0.1214.70%8.30%0.38
Number of stent implanted0.82 ± 0.340.79 ± 0.410.530.80 ± 0.450.80 ± 0.500.96
Fibrinolysis0.20%1.60%0.040.00%0.00%N.A.
GP IIB/IIIA use10.90%14.80%0.359.70%0.00%0.11
Any Ventricular Support 3.00%6.50%0.123.20%8.00%0.19
Arrhythmic complications during procedure4.30%8.30%0.144.30%12.50%0.05
Intrahospital Arrhythmic Complications 2.90%11.70%<0.0012.50%16.70%<0.001
Mechanical Complications 1.10%8.30%<0.0012.40%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 2

Kaplan-Meier curves for TIMI major or minor bleeding in patients admitted with acute coronary syndrome before and during COVID-19 pandemic.

Figure 3

The impact of bleeding on mortality in acute coronary syndrome patients before and during the COVID-19 pandemic.

4. Discussion

The main findings of our study from a large multicenter registry of patients with acute coronary syndrome collected before and during the first wave of the COVID-19 pandemic could be summarized as follows: Traditional baseline predictors of bleeding in ACS patients were similar in the two study periods. The incidence of major or minor bleeding during hospitalization for ACS was similar both before and during the first wave of the COVID-19 pandemic. In-hospital major or minor bleeding carries a significant and immediate prognostic impact in ACS patients, and this was confirmed also in admissions during the COVID-19 pandemic. To the best of our knowledge this is the first report focusing on the incidence and prognostic impact of in-hospital bleeding in ACS patients during the first wave of the COVID-19 pandemic. With the introduction of refined and more potent antithrombotic regimens, the incidence of ischemic complications in patients with ACS has steadily decreased in the last two decades, while in turn the risk of major bleeding has roughly doubled, becoming the most common clinical complication after an ACS [16]. Bleeding complications have been associated with an increase in mortality in an ACS setting [9,10,11] with major or minor bleeding being associated with a fivefold-higher risk of death during admission [11,17]. Both major bleeding and ischemic events, such as a recurrent MI, have a similar impact on long-term mortality, and depending on bleeding severity, bleeding could have an even higher prognostic impact as high as four times that of a new episode of MI [18]. Among hospitalized patients with COVID-19, thromboembolism is an important piece of the puzzle [1,19]. Autopsy studies demonstrated a high incidence of macro and microthrombi in patients who died after contracting COVID-19 [20]. Leveraging on this observation, several observational studies have suggested a possible benefit for a routine in-hospital use of anticoagulation in this setting [21]. Similarly, the International Society on Thrombosis and Hemostasis (ISTH) and the American Society of Hematology recommend that all hospitalized patients with COVID-19 receive thromboprophylaxis with low molecular weight heparin in order to reduce the risk of thromboembolic complications [5,6,22]. It is not surprising that confirmed or suspected COVID-19 patients are exposed to a more aggressive antithrombotic regimen that could be associated with a higher incidence of intrahospital bleedings. This is especially true in the context of ACS, where multiple antithrombotic therapies with aspirin, a P2Y12 inhibitor, and an initial course of anticoagulation represent the mainstay of treatment alongside coronary revascularization [22]. Based on this assumption, our finding of a similar incidence and prognostic impact of in-hospital bleeding [8] during the first wave of the COVID-19 pandemic could appear counterintuitive. Yet several explanations could be advanced to justify our results. Multiple national registries confirmed a drastic reduction of roughly 50% of the number of patients presenting with MI compared with the same period in previous years. [12,23] In this context it may be speculated that differences in the baseline characteristics may justify the lack of difference observed in our analysis. Yet baseline characteristics and classic bleeding risk predictors for patients presenting before and during the COVID-19 pandemic appeared similar in our analysis. Also, a significant delay in the clinical presentation of ACS patients during the first wave of the COVID-19 pandemic has been observed in our report and in multiple previous reports. Hence is possible that sicker patients with ACS did not seek assistance or presented late during the COVID-19 pandemic, with a secondary impact on incidence and prognosis of intrahospital bleeding during the pandemic. In fact, not only was an important reduction in ACS presentation rate registered during this period, but it was also seen that the cumulative incidence of out-of-hospital cardiac arrest was strongly associated with the cumulative incidence of COVID-19 [24]. Alternatively, we could speculate that specific adjustment in the multiple antithrombotic therapy in ACS patients with potential indication to additional therapy for confirmed or suspected COVID-19 could have mitigated the risk of bleeding in this observational cohort. In this setting, patients with indication to oral anticoagulation therapy could have been targeted with less potent antiplatelet agents or with shorter courses of multiple antithrombotic therapies, based on clinician risk perception, which could have limited the risk of bleeding complication despite multiple antithrombotic therapy.

5. Limitations

Our study has several important limitations that should be acknowledged. First, this is an observational study, hence our findings should be considered hypothesis-generating rather than conclusive. Second, although all patients admitted during the first wave of the COVID-19 pandemic were tested with a specific swab, we included both individuals irrespectively of a confirmed COVID-19 diagnosis or evidence of positive swab. This is relevant, as pharmacologic treatment in this group might have been different. However, our main aim was also to compare predictors of bleeding in patients presenting with ACS both before and during the pandemic. Exploring the frequency and clinical impact of bleeding in a larger population of patients with COVID-19 would be relevant. Importantly, detailed data regarding antithrombotic treatment were not available for all patients included, which limits our ability to explore the relationship between bleeding events and assigned pharmacological therapy. Finally, we only provide outcomes for the in-hospital phase, whereas no information for out-of-hospital events is available. This point is of great importance, and future dedicated studies should target this issue. Nevertheless, this is the first report that focuses on the incidence and prognostic impact of in-hospital bleeding in ACS patients during this unprecedented health crisis, and it could at least partially inform upon the risks of these complications during the in-hospital phase of ACS patients.

6. Conclusions

In our large, multicenter registry of ACS patients included before and during the first wave of the COVID-19 pandemic, we observed a similar incidence and prognostic impact of in-hospital bleeding during both study periods. We confirmed a significant and similar negative prognostic impact of in-hospital bleeding during ACS hospitalization, which should prompt physician awareness of this dangerous complication also in the context of COVID-19 when multiple antithrombotic agents may be needed.
  24 in total

Review 1.  Bleeding and blood transfusion issues in patients with non-ST-segment elevation acute coronary syndromes.

Authors:  Sunil V Rao; John A Eikelboom; Christopher B Granger; Robert A Harrington; Robert M Califf; Jean-Pierre Bassand
Journal:  Eur Heart J       Date:  2007-04-24       Impact factor: 29.983

2.  Thrombolysis in Myocardial Infarction (TIMI) Trial, Phase I: A comparison between intravenous tissue plasminogen activator and intravenous streptokinase. Clinical findings through hospital discharge.

Authors:  J H Chesebro; G Knatterud; R Roberts; J Borer; L S Cohen; J Dalen; H T Dodge; C K Francis; D Hillis; P Ludbrook
Journal:  Circulation       Date:  1987-07       Impact factor: 29.690

3.  Associations of major bleeding and myocardial infarction with the incidence and timing of mortality in patients presenting with non-ST-elevation acute coronary syndromes: a risk model from the ACUITY trial.

Authors:  Roxana Mehran; Stuart J Pocock; Gregg W Stone; Tim C Clayton; George D Dangas; Frederick Feit; Steven V Manoukian; Eugenia Nikolsky; Alexandra J Lansky; Ajay Kirtane; Harvey D White; Antonio Colombo; James H Ware; Jeffrey W Moses; E Magnus Ohman
Journal:  Eur Heart J       Date:  2009-04-07       Impact factor: 29.983

4.  Predictors of major bleeding in acute coronary syndromes: the Global Registry of Acute Coronary Events (GRACE).

Authors:  M Moscucci; K A A Fox; Christopher P Cannon; W Klein; José López-Sendón; G Montalescot; K White; R J Goldberg
Journal:  Eur Heart J       Date:  2003-10       Impact factor: 29.983

5.  2020 ESC Guidelines for the management of acute coronary syndromes in patients presenting without persistent ST-segment elevation.

Authors:  Jean-Philippe Collet; Holger Thiele; Emanuele Barbato; Olivier Barthélémy; Johann Bauersachs; Deepak L Bhatt; Paul Dendale; Maria Dorobantu; Thor Edvardsen; Thierry Folliguet; Chris P Gale; Martine Gilard; Alexander Jobs; Peter Jüni; Ekaterini Lambrinou; Basil S Lewis; Julinda Mehilli; Emanuele Meliga; Béla Merkely; Christian Mueller; Marco Roffi; Frans H Rutten; Dirk Sibbing; George C M Siontis
Journal:  Eur Heart J       Date:  2021-04-07       Impact factor: 29.983

6.  ISTH interim guidance on recognition and management of coagulopathy in COVID-19.

Authors:  Jecko Thachil; Ning Tang; Satoshi Gando; Anna Falanga; Marco Cattaneo; Marcel Levi; Cary Clark; Toshiaki Iba
Journal:  J Thromb Haemost       Date:  2020-04-27       Impact factor: 5.824

7.  Association of Treatment Dose Anticoagulation With In-Hospital Survival Among Hospitalized Patients With COVID-19.

Authors:  Ishan Paranjpe; Valentin Fuster; Anuradha Lala; Adam J Russak; Benjamin S Glicksberg; Matthew A Levin; Alexander W Charney; Jagat Narula; Zahi A Fayad; Emilia Bagiella; Shan Zhao; Girish N Nadkarni
Journal:  J Am Coll Cardiol       Date:  2020-05-06       Impact factor: 24.094

Review 8.  COVID-19 and Thrombotic or Thromboembolic Disease: Implications for Prevention, Antithrombotic Therapy, and Follow-Up: JACC State-of-the-Art Review.

Authors:  Behnood Bikdeli; Mahesh V Madhavan; David Jimenez; Taylor Chuich; Isaac Dreyfus; Elissa Driggin; Caroline Der Nigoghossian; Walter Ageno; Mohammad Madjid; Yutao Guo; Liang V Tang; Yu Hu; Jay Giri; Mary Cushman; Isabelle Quéré; Evangelos P Dimakakos; C Michael Gibson; Giuseppe Lippi; Emmanuel J Favaloro; Jawed Fareed; Joseph A Caprini; Alfonso J Tafur; John R Burton; Dominic P Francese; Elizabeth Y Wang; Anna Falanga; Claire McLintock; Beverley J Hunt; Alex C Spyropoulos; Geoffrey D Barnes; John W Eikelboom; Ido Weinberg; Sam Schulman; Marc Carrier; Gregory Piazza; Joshua A Beckman; P Gabriel Steg; Gregg W Stone; Stephan Rosenkranz; Samuel Z Goldhaber; Sahil A Parikh; Manuel Monreal; Harlan M Krumholz; Stavros V Konstantinides; Jeffrey I Weitz; Gregory Y H Lip
Journal:  J Am Coll Cardiol       Date:  2020-04-17       Impact factor: 24.094

9.  Suspected myocarditis in patients with COVID-19: A multicenter case series.

Authors:  Natascia Laganà; Marco Cei; Isabella Evangelista; Scilla Cerutti; Alessandra Colombo; Lucia Conte; Enricomaria Mormina; Giuseppe Rotiroti; Antonio Giovanni Versace; Cesare Porta; Riccardo Capra; Valerio Vacirca; Josè Vitale; Antonino Mazzone; Nicola Mumoli
Journal:  Medicine (Baltimore)       Date:  2021-02-26       Impact factor: 1.889

10.  American Society of Hematology 2021 guidelines on the use of anticoagulation for thromboprophylaxis in patients with COVID-19.

Authors:  Adam Cuker; Eric K Tseng; Robby Nieuwlaat; Pantep Angchaisuksiri; Clifton Blair; Kathryn Dane; Jennifer Davila; Maria T DeSancho; David Diuguid; Daniel O Griffin; Susan R Kahn; Frederikus A Klok; Alfred Ian Lee; Ignacio Neumann; Ashok Pai; Menaka Pai; Marc Righini; Kristen M Sanfilippo; Deborah Siegal; Mike Skara; Kamshad Touri; Elie A Akl; Imad Bou Akl; Mary Boulos; Romina Brignardello-Petersen; Rana Charide; Matthew Chan; Karin Dearness; Andrea J Darzi; Philipp Kolb; Luis E Colunga-Lozano; Razan Mansour; Gian Paolo Morgano; Rami Z Morsi; Atefeh Noori; Thomas Piggott; Yuan Qiu; Yetiani Roldan; Finn Schünemann; Adrienne Stevens; Karla Solo; Matthew Ventresca; Wojtek Wiercioch; Reem A Mustafa; Holger J Schünemann
Journal:  Blood Adv       Date:  2021-02-09
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