Tiziano Barbui1, Alessandra Iurlo2, Arianna Masciulli3, Alessandra Carobbio3, Arianna Ghirardi3, Greta Carioli3, Marta Anna Sobas4, Elena Maria Elli5, Elisa Rumi6, Valerio De Stefano7, Francesca Lunghi8, Monia Marchetti9, Rosa Daffini10, Mercedes Gasior Kabat11, Beatriz Cuevas12, Maria Laura Fox13, Marcio Miguel Andrade-Campos14, Francesca Palandri15, Paola Guglielmelli16, Giulia Benevolo17, Claire Harrison18, Maria Angeles Foncillas19, Massimiliano Bonifacio20, Alberto Alvarez-Larran21, Jean-Jacques Kiladjian22, Estefanía Bolaños Calderón23, Andrea Patriarca24, Keina Quiroz Cervantes25, Martin Griessammer26, Valentin Garcia-Gutierrez27, Alberto Marin Sanchez28, Elena Magro Mazo29, Marco Ruggeri30, Juan Carlos Hernandez-Boluda31, Santiago Osorio32, Gonzalo Carreno-Tarragona33, Miguel Sagues Serrano34, Rajko Kusec35, Begona Navas Elorza36, Anna Angona37, Blanca Xicoy Cirici38, Emma Lopez Abadia39, Steffen Koschmieder40, Daniele Cattaneo2,41, Cristina Bucelli2, Edyta Cichocka42, Anna Masternak Kulikowska de Nałęcz43, Fabrizio Cavalca5, Oscar Borsani6, Silvia Betti7, Lina Benajiba22, Marta Bellini44, Natalia Curto-Garcia18, Alessandro Rambaldi41,44, Alessandro Maria Vannucchi16. 1. FROM Research Foundation, Papa Giovanni XXIII Hospital, Bergamo, Italy. tbarbui@fondazionefrom.it. 2. Hematology Division, Foundation IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy. 3. FROM Research Foundation, Papa Giovanni XXIII Hospital, Bergamo, Italy. 4. Department of Hematology, Blood Neoplasms and Bone Marrow Transplantation, Wroclaw Medical University, Wrocław, Poland. 5. Hematology Division and Bone Marrow Transplant Unit. San Gerardo Hospital, ASST Monza, Monza, Italy. 6. Department of molecular medicine, University of Pavia, Pavia, Italy. 7. Section of Hematology, Department of Radiological and Hematological Sciences, Catholic University, Fondazione Policlinico "A. Gemelli" IRCCS, Rome, Italy. 8. IRCCS Ospedale San Raffaele, Milano, Italy. 9. AOU SS.Antonio e Biagio e C.Arrigo, Alessandria, Italy. 10. ASST-Spedali Civili, Brescia, Italy. 11. Hospital Universitario La Paz, Madrid, Spain. 12. Hospital Universitario de Burgos, Burgos, Spain. 13. Department of Hematology, Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron Hospital Universitari, Vall d'Hebron Barcelona Hospital Campus, C/ Natzaret, 115-117, 08035, Barcelona, Spain. 14. Hospital del Mar, Barcelona, Spain. 15. IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy. 16. Center Research and Innovation of Myeloproliferative Neoplasms (CRIMM), Department of Experimental and Clinical Medicine, Azienda Ospedaliera Universitaria Careggi, University of Florence, Florence, Italy. 17. AOU Città della Salute e della Scienza di Torino, Torino, Italy. 18. Guy's and St. Thomas' NHS Foundation Trust, London, United Kingdom. 19. Hospital Universitario Infanta Leonor, Madrid, Spain. 20. Ospedale Policlinico "G.B. Rossi", Borgo Roma, Verona, Italy. 21. Hospital Clinic de Barcelona, Barcelona, Spain. 22. Hospital Saint-Louis, Paris, France. 23. Hospital Clinico San Carlos, Madrid, Spain. 24. AOU Maggiore della Carità, Novara, Italy. 25. Hospital Universitario de Mostoles, Madrid, Spain. 26. Oncology, Hemostaseology and Palliative Care, Johannes Wesling Medical Center, University Clinic for Hematology, Minden, Germany. 27. Hospital Ramon y Cajal, IRYCIS, Madrid, Spain. 28. Hospital General Universitario de Albacete, Albacete, Spain. 29. Hospital Universitario Principe de Asturias, Alcalà de Henares, Madrid, Spain. 30. Ospedale San Bortolo, Vicenza, Italy. 31. Hospital Clinico Universitario, INCLIVA, Valencia, Spain. 32. Hospital Gregorio Maranon, Madrid, Spain. 33. Hospital Universitario 12 de Octubre, Madrid, Spain. 34. ICO L'Hospitalet-Hospital Moises Broggi, Sant Joan Despì, Barcelona, Spain. 35. Department of haematology, Clinic of internal medicine, University Hospital Dubrava-School of Medicine University of Zagreb, Zagreb, Croatia. 36. Hospital Moncloa, Madrid, Spain. 37. ICO Girona Hospital Josep Trueta, Girona, Spain. 38. Institut Català d' Oncologia-Hospital Germans Trias i Pujol, Josep Carreras Leukemia Research Institute, Universitat Autònoma de Barcelona, Barcelona, Spain. 39. Hospital General de Elche, Elche (Alicante), Spain. 40. Department of Hematology, Oncology, Hemostaseology, and Stem Cell Transplantation, Faculty of Medicine, RWTH Aachen University, Aachen, Germany. 41. Università degli Studi di Milano, Milano, Italy. 42. Department of Hematology and Bone Marrow Transplantation, Nicolaus Copernicus Hospital, Torun, Poland. 43. Department of Hematology and Internal Diseases, State Hospital, Opole, Poland. 44. ASST Papa Giovanni XXIII, Bergamo, Italy.
The first wave of the SARS-CoV-2 coronavirus disease 2019 (COVID-19) began in January 2020, affecting many European countries and leading to an overwhelming of the capacity of acute care hospitals and intensive care units (ICUs). Patients with hematologic malignancies incurring COVID-19 were among the most vulnerable [1-3] and in those with myeloproliferative neoplasms (MPN) including essential thrombocythemia (ET), polycythemia vera (PV), prefibrotic myelofibrosis (pre-PMF) and myelofibrosis (MF), deaths were registered in 28% of cases, being particularly elevated in MF (48%). Age, male gender, admission to ICU, severity of COVID-19 and ruxolitinib discontinuation at COVID-19 diagnosis were independent risk factors for death [4].The pandemic substantially subsided in Europe until October 2020, likely due to non-pharmaceutical control measures including wearing of a mask, hand washing, social distancing, quarantine and city/region lockdown. These interventions gradually relaxed in consideration of the trade-off between economic sustainability and public health, leading to a second wave of infection, also triggered by new SARS-CoV-2 variants. These raised concerns and uncertainties regarding a possibly new clinical epidemiology of the new virus variants in terms of presentation, severity of acute infection and clinical outcomes.In the present analysis, we report the outcomes recorded in the 12 months after the first wave declined, pursuing a dual purpose: (i) to describe possible differences of COVID-19 presentation between the two waves and (ii) to evaluate the rate and risk factors of relevant outcomes, including mortality, thrombosis and main clinical events in MPN patients surviving after the acute phase of COVID-19.The MPN-COVID study is steadily enrolling consecutive adult MPN patients with COVID-19 infection since February 15, 2020. Thirty-nine hematologic centers from Italy, Spain, Germany, France, UK, Poland, and Croatia enrolled 175 and 304 cases in the first and second wave, respectively.In the present analysis, we report data of the second wave of the pandemic, from July 1, 2020 to June 30, 2021, and compare findings with those obtained during the first wave (i.e., from February 15 to June 30, 2020).
Incidence of MPN-COVID cases and probability density of death
Supplementary Fig. 1S illustrates the distribution probability of incidence and density of COVID-19 cases by Kernel method [5] for to the two pandemic periods. During the first wave, a peak was documented from April to May followed by a decline during the summer season, whereas the second wave peaked in November/December 2020 and did not completely decline until June 2021. The shape of the incidence curve was substantially similar, while the density function of deaths was less pronounced in the second wave.
Presentation and therapy
In comparison with the first, patients in the second wave were younger, had with less comorbidities and presented with moderate COVID-19 infection (Table 1). They were less symptomatic, most were treated at home, intensive respiratory support being required in a limited number of cases, and an elevation of blood inflammatory markers (C-Reactive Protein and Neutrophil to Lymphocyte Ratio) was found in a lower proportion of cases.
Table 1
Patients’ characteristics by the two waves of the COVID-19 pandemic.
First wave
Second wave
p value
N = 175
N = 304
MPN diagnosis
ET
51 (29.1%)
110 (36.2%)
0.12
PV
46 (26.3%)
89 (29.3%)
0.48
MF
60 (34.3%)
74 (24.3%)
0.020
pre-PMF
18 (10.3%)
31 (10.2%)
0.98
Treatments at last MPN f-up before Covid-19
Cytoreduction
141 (80.6%)
233 (77.2%)
0.38
Hydroxyurea
79 (56.0%)
161 (68.8%)
0.092
Anagrelide
8 (5.7%)
10 (4.3%)
0.48
Interferon
4 (2.8%)
7 (3.0%)
0.99
Ruxolitinib
45 (31.9%)
44 (18.8%)
0.002
Other
5 (3.5%)
12 (5.1%)
0.53
ASA
104 (59.4%)
180 (59.4%)
1.00
At Covid-19 diagnosis
Sex
0.037
Female
73 (41.7%)
158 (52.0%)
Male
102 (58.3%)
146 (48.0%)
Age
71.0 (60.0–79.9)
63.3 (54.5–73.8)
<0.001
<60 yrs
42 (24.1%)
117 (38.5%)
60–70 yrs
37 (21.3%)
83 (27.3%)
>70 yrs
95 (54.6%)
104 (34.2%)
Patient disposition
<0.001
Home
40 (22.9%)
208 (68.4%)
Regular ward
116 (66.3%)
88 (28.9%)
ICU
19 (10.9%)
8 (2.6%)
Respiratory supplement need
103 (59.2%)
83 (27.6%)
<0.001
Not invasive
99 (96.1%)
79 (95.2%)
0.75
Invasive
20 (19.4%)
7 (8.5%)
0.037
O2 saturation %
93.0 (88.0–96.0)
96.0 (90.0–98.0)
<0.001
Symptoms
Fever
141 (80.6%)
192 (63.2%)
<0.001
Cough
96 (54.9%)
132 (43.4%)
0.016
Dispnea
98 (56.0%)
88 (28.9%)
<0.001
Systemic
36 (20.6%)
30 (9.9%)
0.001
Gastrointestinal
22 (12.6%)
26 (8.6%)
0.16
Comorbidities
130 (74.3%)
192 (63.2%)
0.012
Asthma
3 (1.7%)
8 (2.6%)
0.53
Cerebrovascular
23 (13.2%)
28 (9.2%)
0.18
Kidney impairment
19 (10.9%)
5 (1.7%)
<0.001
Heart disease
25 (14.5%)
25 (8.3%)
0.035
COPD
25 (14.4%)
19 (6.3%)
0.003
Smoke
35 (23.0%)
47 (16.2%)
0.077
Hyperlipidemia
47 (28.0%)
56 (18.5%)
0.018
Obesity
21 (13.1%)
25 (8.3%)
0.098
Reumatic disease
11 (6.4%)
13 (4.3%)
0.32
Hypertension
104 (60.8%)
128 (42.5%)
<0.001
Diabetes
23 (13.4%)
27 (8.9%)
0.13
Chemistry
Hemoglobin g/dL
12.4 (10.0–13.6)
12.9 (11.1–13.9)
0.019
Hematocrit %
38.4 (32.0–42.4)
39.0 (34.9–43.9)
0.069
WBC x 109/L
6.5 (4.6–10.1)
6.8 (5.1–9.8)
0.52
Neutrophils %
75.9 (66.0–83.0)
71.0 (62.5–80.0)
0.053
Lymphocytes %
14.0 (9.0–20.0)
17.6 (10.2–25.0)
0.022
N/L ratio
5.4 (3.4–8.9)
4.1 (2.6–8.4)
0.038
Platelets x 109/L
252.0 (152.0–394.0)
350.0 (224.0–456.0)
<0.001
LDH U/L
426.0 (264.5–641.5)
356.0 (229.0–622.0)
0.15
CRP mg/L
74.0 (26.0–156.8)
51.5 (10.3–100.0)
0.008
D-dimer ng/ml
801.0 (398.0–1655.0)
924.5 (480.0–2340.0)
0.20
Covid-directed treatments
Steroids
45 (27.8%)
121 (40.3%)
0.007
Antibiotics
114 (70.4%)
123 (41.0%)
<0.001
Hydroxychloroquine
100 (60.2%)
9 (3.0%)
<0.001
Antivirals
57 (34.3%)
19 (6.4%)
<0.001
Experimentals
19 (11.2%)
12 (4.0%)
0.002
Antithrombotics
93 (56.0%)
114 (38.4%)
<0.001
MPN-directed treatment change
Hydroxyurea discontinuation
9 (11.3%)
11 (6.6%)
0.21
Anagrelide discontinuation
1 (12.5%)
2 (20.0%)
0.67
Interferon discontinuation
1 (25.0%)
1 (14.3%)
0.66
Ruxolitinib discontinuation
11 (23.9%)
4 (8.7%)
0.048
Outcomes of the acute phase
Death
50 (28.6%)
26 (8.6%)
<0.001
Time to death (days)
9.5 (4–16)
11.0 (6–20)
0.673
Thrombosis
14 (8.0%)
5 (1.6%)
0.001
Time to thrombosis (days)
11.5 (4.0–25.0)
1.0 (1.0–6.0)
0.52
Arterial
3 (1.7%)
1 (0.3%)
0.141
Venous
12 (6.9%)
4 (1.3%)
0.002
Continuous variables are summarized by median (interquartile range [IQR]).
Patients’ characteristics by the two waves of the COVID-19 pandemic.Continuous variables are summarized by median (interquartile range [IQR]).In regard to COVID-19 and MPN directed therapy, steroids were more frequently prescribed than in the first wave (p = 0.007); conversely, ruxolitinib was discontinued in fewer MF hospitalized patients. Therefore, all of these clinical and laboratory data were consistent with a less severe COVID-19 infection.
Mortality and related risk factors
Survival during the first vs. second wave (69% vs. 91%) at 60 days after COVID-19 diagnosis, was statistically different (p < 0.001) (Fig. 1A). Among 26 deaths registered during the second wave, 4 (15%) occurred at home, 19 (73%) on the regular word and 3 (12%) in the ICU, and occurred in MF (n = 17, 65%), ET (n = 5, 19%) and PV (n = 4, 15%) (p < 0.001). In a multivariate Cox regression model fitted on the whole cohort and adjusted for the wave to which patients belonged (Fig. 1B), significant independent risk factors for death were age over 70 years (HR = 5.22, 95% CI 1.80–15.14, p = 0.002), male sex (HR = 1.88, 95% CI 1.13–3.13, p = 0.016), severity of COVID-19 defined by the need for respiratory support (HR = 4.45, 95% CI 1.85–10.70, p = 0.001), and ruxolitinib discontinuation (HR = 2.98, 95% CI 1.29–6.89, p = 0.011). Conversely, continuation of ruxolitinib was not a significant predictor (HR = 1.21, p = 0.566).
Fig. 1
Overall survival by waves of coronavirus pandemic.
Kaplan-Meier curves of overall survival by the two waves of Covid-19 (A) and multivariate Cox proportional hazard model for mortality during the acute phase (B).
Overall survival by waves of coronavirus pandemic.
Kaplan-Meier curves of overall survival by the two waves of Covid-19 (A) and multivariate Cox proportional hazard model for mortality during the acute phase (B).Compared to the first wave, mortality in patients aged 60–70 was reduced from 35 to 2%. By contrast, deaths in patients over 70 years of age were recorded in 36% and 21% in the first and second wave, respectively. These patients, compared with those <70 years (Supplementary Table 1S), had more comorbidities, prior history of thrombosis, were more frequently hospitalized and in need of respiratory support. In these patients, deaths occurred in 59%, 23% and 18% of MF, ET and PV, respectively. Therefore, the benefit on survival was documented in patients younger than 70 years and more fit, with a limited degree of inflammation.
Thrombosis
At 60 days from COVID-19 diagnosis, only 5 incident cases of thrombosis were registered out of 304 patients (1.6%) during the second wave, significantly lower than in the first wave (14 thrombosis on 175 patients, 8.0%), although an antithrombotic treatment was prescribed less frequently (Table 1). Such findings mirror the less severe clinical presentation noticed in the present case series. However, almost all events (n = 4/5) were venous and we confirmed in multivariate model that most of these events occurred in patients with ET (SHR = 4.4, 95% CI 1.8–10.7, p = 0.001). As in the first wave, we did not find a significant difference in venous thrombosis between cases treated with prophylactic doses of heparin compared to controls.
Events in patients surviving after the acute phase
Two-hundred twenty-three patients survived after the acute phase of the second wave of COVID-19 and were followed up for a median of 141 days (IQR: 94–173). Two of them died, 4 were diagnosed with deep vein thrombosis of the legs with or without pulmonary embolism and one with arterial cerebral thrombosis, and 4 developed bleeding, accounting together for an event-free survival (EFS) of 93.82%, a figure significantly different from the first wave (EFS: 65.70%, p = 0.0312).
Comment
This is the largest analysis of MPN patients who contracted COVID-19 in the 12 months subsequent to the first wave of the coronavirus pandemic, which was characterized by conditions of exceptional lethality. Patients of the second wave presented, compared to those of the first, with a less severe disease, including a lower degree of inflammation, leading to hospitalization in a smaller percentage of cases. Overall, the mortality rate was significantly lower, likely due to early COVID-19 diagnosis, facilitated by the greater availability of swabs than in the first wave, more efficient management of infected patients, better prepared health systems and preferential protection of older and higher-risk MPN vulnerable subjects. However, patients over 70 years still presented with an excess of mortality, particularly when associated with comorbidities and an MF phenotype. Unfortunately, no data are available so far in our series to support a role of vaccinations. The high thrombosis rate in patients with ET was confirmed, suggesting that in this MPN phenotype regimens of antithrombotic prophylaxis in addition to heparin should be explored. Also in the second wave, but to a lesser extent than in the first, the health consequences of COVID-19 protracted far beyond acute infection, suggesting careful and permanent surveillance of patients with MPN who have survived the acute phase of SARS-CoV-2 virus infection.Supplemental material
Authors: Sara Rodríguez-Mora; Magdalena Corona; Montserrat Torres; Guiomar Casado-Fernández; Javier García-Pérez; Fernando Ramos-Martín; Lorena Vigón; Mario Manzanares; Elena Mateos; Fernando Martín-Moro; Alejandro Zurdo-Castronuño; María Aranzazu Murciano-Antón; José Alcamí; Mayte Pérez-Olmeda; Javier López-Jiménez; Valentín García-Gutiérrez; Mayte Coiras Journal: J Clin Med Date: 2022-05-16 Impact factor: 4.964
Authors: Tiziano Barbui; Alessandra Carobbio; Arianna Ghirardi; Alessandra Iurlo; Marta Anna Sobas; Elena Maria Elli; Elisa Rumi; Valerio De Stefano; Francesca Lunghi; Monia Marchetti; Rosa Daffini; Mercedes Gasior Kabat; Beatriz Cuevas; Maria Laura Fox; Marcio Miguel Andrade-Campos; Francesca Palandri; Paola Guglielmelli; Giulia Benevolo; Claire Harrison; Maria-Angeles Foncillas; Massimiliano Bonifacio; Alberto Alvarez-Larran; Jean-Jacques Kiladjian; Estefanía Bolaños Calderón; Andrea Patriarca; Keina Quiroz Cervantes; Martin Griesshammer; Valentin Garcia-Gutierrez; Alberto Marin Sanchez; Elena Magro Mazo; Giuseppe Carli; Juan Carlos Hernandez-Boluda; Santiago Osorio; Gonzalo Carreno-Tarragona; Miguel Sagues Serrano; Rajko Kusec; Begona Navas Elorza; Anna Angona; Blanca Xicoy Cirici; Emma Lopez Abadia; Steffen Koschmieder; Daniele Cattaneo; Cristina Bucelli; Edyta Cichocka; Anna Kulikowska de Nałęcz; Fabrizio Cavalca; Oscar Borsani; Silvia Betti; Marta Bellini; Natalia Curto-Garcia; Alessandro Rambaldi; Alessandro Maria Vannucchi Journal: Am J Hematol Date: 2022-09-16 Impact factor: 13.265