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. 2022 Nov 15;12(11):154. doi: 10.1038/s41408-022-00749-8

Breakthrough infections in MPN-COVID vaccinated patients

Tiziano Barbui 1,, Alessandra Carobbio 1, Arianna Ghirardi 1, Alessandra Iurlo 2, Valerio De Stefano 3, Marta Anna Sobas 4, Elisa Rumi 5, Elena Maria Elli 6, Francesca Lunghi 7, Mercedes Gasior Kabat 8, Beatriz Cuevas 9, Paola Guglielmelli 10, Massimiliano Bonifacio 11, Monia Marchetti 12, Alberto Alvarez-Larran 13, Laura Fox 14, Marta Bellini 15, Rosa Daffini 16, Giulia Benevolo 17, Gonzalo Carreno-Tarragona 18, Andrea Patriarca 19, Haifa Kathrin Al-Ali 20, Maria Marcio Miguel Andrade-Campos 21, Francesca Palandri 22, Claire Harrison 23, Maria Angeles Foncillas 24, Santiago Osorio 25, Steffen Koschmieder 26, Elena Magro Mazo 27, Jean-Jacques Kiladjian 28, Estefanía Bolaños Calderón 29, Florian H Heidel 30, Keina Quiroz Cervantes 31, Martin Griesshammer 32, Valentin Garcia-Gutierrez 33, Alberto Marin Sanchez 34, Juan Carlos Hernandez-Boluda 35, Emma Lopez Abadia 36, Giuseppe Carli 37, Miguel Sagues Serrano 38, Rajko Kusec 39, Blanca Xicoy Cirici 40, Margarita Guenova 41, Begona Navas Elorza 42, Anna Angona 43, Edyta Cichocka 44, Anna Kulikowska de Nałęcz 45, Daniele Cattaneo 2,46, Cristina Bucelli 2, Silvia Betti 3, Oscar Borsani 5, Fabrizio Cavalca 6, Sara Carbonell 13, Natalia Curto-Garcia 23, Lina Benajiba 28, Alessandro Rambaldi 15,46, Alessandro Maria Vannucchi 10
PMCID: PMC9664028  PMID: 36379921

The first wave of COVID-19 in patients with myeloproliferative neoplasms (MPN) including polycythemia vera (PV), essential thrombocythemia (ET), prefibrotic myelofibrosis (pre-PMF) and overt myelofibrosis (MF), was characterized by severe illness, high hospitalization rate, and excess of mortality [1, 2]. Deaths accounted for 28.5% of patients [1], an estimate 3-4-fold higher than in general population [3], and progressively decreased thereafter [4]. This improvement was likely related to better critical care management, less virulence of circulating variants of concern (VOCs), younger patient’s age and vaccinations. The effectiveness of vaccines to protect against disease severity, hospitalization and death has been consistently demonstrated in the general population; [5] conversely, very limited information has been provided so far in rare diseases such as MPNs [6, 7] in which vaccines elicit poor neutralizing antibody titers, particularly in MF on ruxolitinib active treatment [8, 9].

We investigated 3 cohorts of COVID-MPN patients, observed since the beginning of the SARS-CoV2, from February 2020 to June 2022. In the European MPN-COVID registry, promoted by the LeukemiaNet (ELN) (clinicaltrials.gov: NCT04385160), 863 MPN patients with COVID-19 have been enrolled, and in 649 of them, information on the vaccination status was provided. diagnosis of covid-19 required a positive real-time reverse transcriptase polymerase chain reaction from nasal swab and symptoms highly suggestive for sars-cov-2 infection. according to the most prevalent circulating vocs in europe at that time, 4 waves were identified: 1st, February to June 2020 (wild-type original variant) 2nd, July 2020–June 2021 (alpha/beta/gamma); 3rd, July 2021–December 2021 (delta); and wave 4th, January to June 2022 (Omicron). The severity of COVID-19 was categorized as asymptomatic, mild, moderate or severe/critical according to the NIH COVID-19 Treatment Guidelines [10].

Infections in vaccinated patients with previous COVID-19 (hybrid vaccination)

Of 418 patients with prior COVID-19, 287 were vaccinated and 131, at the moment of the present analysis, were not. Almost all vaccinated cases (98%) had prior COVID-19 during the first and second pandemic wave. In unvaccinated cases, prior COVID-19 occurred frequently during the last 2 waves, including Delta and Omicron VOCs (26%) (Table 1). Of note, unvaccinated cases experienced the first episode of COVID-19 less severe than vaccinated ones (i.e., asymptomatic in 7.3% vs. 2.6%, respectively, p = 0.003) and were younger (median age 59 years vs. 62 years, respectively, p = 0.016). The proportion of PV, ET, pre-PMF was similar in the two groups while the proportion of MF patients was lower in the vaccinated than unvaccinated group (19% vs 28%) (p = 0.024). No difference of driver mutations frequency and splenomegaly among the MPN phenotypes was found.

Table 1.

Characteristics of patients with previous COVID-19 infection according to vaccination status.

Total pts with previous infection UNVACCINATED VACCINATED p
N = 418 N = 131 N = 287
Male gender 189/418 (45.2%) 51/131 (38.9%) 138/287 (48.1%) 0.081
Age 61.3 (53.0–71.7) 59.3 (47.9–71.9) 61.8 (54.6–71.7) 0.016
> 70 124/417 (29.7%) 36/131 (27.5%) 88/286 (30.8%) 0.50
BMI 24.0 (21.3–26.5) 24.4 (21.7–26.1) 23.9 (21.3–26.5) 0.89
MPN diagnosis
 ET 156/418 (37.3%) 41/131 (31.3%) 115/287 (40.1%) 0.085
 PV 133/418 (31.8%) 41/131 (31.3%) 92/287 (32.1%) 0.88
 MF 90/418 (21.5%) 37/131 (28.2%) 53/287 (18.5%) 0.024
 Early/pre-PMF 39/418 (9.3%) 12/131 (9.2%) 27/287 (9.4%) 0.94
 Previous thrombosis 81/415 (19.5%) 24/129 (18.6%) 57/286 (19.9%) 0.75
Mutational status
JAK2 V617F 303/408 (74.3%) 93/127 (73.2%) 210/281 (74.7%) 0.75
CALR 64/231 (27.7%) 19/89 (21.3%) 45/142 (31.7%) 0.087
 MPL 10/220 (4.5%) 5/88 (5.7%) 5/132 (3.8%) 0.53
 JAK2 EXON12 1/126 (0.8%) 1/55 (1.8%) 0/71 (0.0%) 0.44
Spleen palpable
 No 270/386 (69.9%) 88/125 (70.4%) 182/261 (69.7%)
 Yes 111/386 (28.8%) 35/125 (28.0%) 76/261 (29.1%) 0.87
 Previously splenectomized 5/386 (1.3%) 2/125 (1.6%) 3/261 (1.1%)
Size below costal margin (cm) 4.0 (2.0–6.0) 4.5 (2.0–6.5) 3.0 (2.0–6.0) 0.30
MPN treatment post-COVID
 Phlebotomy 76/410 (18.5%) 24/130 (18.5%) 52/280 (18.6%) 0.98
 Cytoreduction 289/418 (69.1%) 83/131 (63.4%) 206/287 (71.8%) 0.084
 HU 196/412 (47.6%) 54/130 (41.5%) 142/282 (50.4%) 0.096
 Anagrelide 13/412 (3.2%) 1/130 (0.8%) 12/282 (4.3%) 0.071
 Interferon 12/412 (2.9%) 3/130 (2.3%) 9/282 (3.2%) 0.76
 Ruxolitinib 63/412 (15.3%) 20/130 (15.4%) 43/282 (15.2%) 0.97
 Antiplatelets post-COVID 250/410 (61.0%) 75/129 (58.1%) 175/281 (62.3%) 0.43
 ASA 233/412 (56.6%) 73/130 (56.2%) 160/282 (56.7%) 0.91
 Anticoagulants 95/409 (23.2%) 32/128 (25.0%) 63/281 (22.4%) 0.57
Characteristics of COVID-19
Wave
 1 (Wild-type) 94/418 (22.5%) 14/131 (10.7%) 80/287 (27.9%) <0.001
 2 (Alpha, Beta, Gamma) 284/418 (67.9%) 83/131 (63.4%) 201/287 (70.0%) 0.175
 3 (Delta) 19/418 (4.5%) 17/131 (13.0%) 2/287 (0.7%) <0.001
 4 (Omicron) 21/418 (5.0%) 17/131 (13.0%) 4/287 (1.4%) <0.001
COVID-19 severitya
 Asymptomatic infection 16/389 (4.1%) 9/123 (7.3%) 7/266 (2.6%) 0.003
  Mild Illness 286/389 (73.5%) 84/123 (68.3%) 202/266 (75.9%) 0.11
 Moderate Illness 25/389 (6.4%) 7/123 (5.7%) 18/266 (6.8%) 0.69
 Severe/critical Illness 62/389 (15.9%) 23/123 (18.7%) 39/266 (14.7%) 0.31
Vaccine information
Months since prior infection 5.9 (4.3–11.2)
No administered doses
 Only 1 dose 109/287 (38.0%)
 2 doses 112/287 (39.0%)
 3–4 doses 66/287 (23.0%)
Vaccine type
 Pfizer/BioNTech 204/287 (71.1%)
  Moderna 53/287 (18.5%)
 AstraZeneca 12/287 (4.2%)
 Johnson&Johnson 3/287 (1.0%)
 NA 15/287 (5.2%)
Reinfections 18 (4.3%) 8 (6.1%) 10 (3.5%) 0.22
Months to reinfection from prior COVID-19 13.1 (8.2–15.0) 7.5 (4.8–13.1) 14.3 (12.9–16.8) 0.016
Months to reinfection from last vaccine dose 3.1 (2.5–7.1)
Number of doses
Only 1 dose 2/10 (20.0%)
2 doses 4/10 (40.0%)
3–4 doses 4/10 (40.0%)
Wave of reinfection
3 (Delta) 4/18 (22.2%) 3/8 (37.5%) 1/10 (10.0%) 0.27
4 (Omicron) 14/18 (77.8%) 5/8 (62.5%) 9/10 (90.0%)
COVID-19 severitya
Asymptomatic infection 2/17 (11.8%) 1/8 (12.5%) 1/9 (11.1%) 0.72
Mild Illness 13/17 (76.5%) 7/8 (87.5%) 6/9 (66.7%)
Severe/critical Illness 2/17 (11.8%) 0/8 (0.0%) 2/9 (22.2%)
Patient disposition
Home-treated 16/18 (88.9%) 8/8 (100.0%) 8/10 (80.0%) 0.48
Hospitalized 2/18 (11.1%) 0/8 (0.0%) 2/10 (20.0%)
Respiratory support 1/18 (5.6%) 0/8 (0.0%) 1/10 (10.0%) 1.00
ICU 1/18 (5.6%) 0/8 (0.0%) 1/10 (10.0%) 1.00
Symptoms
Fever 5/18 (27.8%) 3/8 (37.5%) 2/10 (20.0%) 0.61
Cough 7/18 (38.9%) 1/8 (12.5%) 6/10 (60.0%) 0.066
Dyspnea 3/18 (16.7%) 0/8 (0.0%) 3/10 (30.0%) 0.22
Systemic 1/18 (5.6%) 0/8 (0.0%) 1/10 (10.0%) 1.00
Gastrointestinal 1/18 (5.6%) 0/8 (0.0%) 1/10 (10.0%) 1.00
Fatigue 6/18 (33.3%) 2/8 (25.0%) 4/10 (40.0%) 0.64
Outcome reinfections
Deathb 1/18 (5.6%) 0/8 (0.0%) 1/10 (10.0%) 1.00

aAccording to the NIH COVID-19 Treatment Guidelines.

bThe dead patient was male with age > 70 years old, had a MF diagnosis treated with fedratinib (in a clinical trial) and had a severe breakthrough infection in the Omicron period (symptoms: cough, dyspnea, fatigue) after 2 doses of vaccine and needed invasive respiratory support.

Vaccine doses (COVID-19 mRNA vaccine—Pfizer/BioNTech in 71%) were 1–2 and 3–4 in 77 and 23%, respectively. Only 3 patients (1%) received 4 vaccine shots.

Adverse events (AE) attributed to vaccines (fever, headache) occurred in 8 patients (2.8%). No patient reported serious adverse events including thrombosis.

Overall, 18 reinfections were diagnosed; of these, 4 occurred during Delta and 14 during Omicron variants period (Table 1). Eight (6.1%) were recorded in unvaccinated and 10 (3.5%) in vaccinated patients (p = 0.22). Therefore, a statistically significant benefit of vaccination in individuals with prior COVID-19 was not apparent; however, these findings were based on a small number of reinfections and need confirmation by prolonging the follow-up in longitudinal studies to assess the durability of the protection in comparable groups [11].

Of note, among patients who developed reinfections, 9/10 (90%) and 5/8 (63%) occurred during Omicron period in vaccinated and unvaccinated groups, respectively. The time interval between the first SARS-Cov-2 infection and the reinfection was double in vaccinated than in unvaccinated patients (14.3 vs. 7.5 months, respectively, p = 0.016), suggesting that booster or repeat vaccination is important and the immunity wanes with time. Time from last vaccine shot to reinfection was 3.1 months.

Severity of reinfection was mild in the great majority of both unvaccinated and vaccinated patients (88 and 67%, respectively, p = 0.72).

Overall, compared with the normal population, partial and fully hybrid vaccination in our MPN patient cohorts conferred a 10-fold lower protection (3.5%) than that reported in Italy (0.4%) [12] and in 2 US cohorts in New York city (0.4%) [13] and California (0.3%) [13]. Notably, this poor result was limited to myelofibrosis and to exposure to ruxolitinib in which the rate of reinfections was not different from that registered in severely immunocompromised patients [14].

Breakthrough infections in vaccinated patients without previous Covid-19 infection

Breakthrough infections were reported in vaccinated patients (ET = 89, PV = 75, MF = 54 and pre-PMF = 13) who had no previous history of COVID-19. Of these, 26 (11%) were hospitalized and their characteristics, compared with home-treated cases, are reported in Table 2. Hospitalized patients were more likely to be older (median age 76 years), males (69%), afflicted with MF (39%), and to have had prior exposure to ruxolitinib (42%: 7 MF and 4 PV). Of note, baseline values at COVID-19 diagnosis of C-reactive protein (CRP) and neutrophil to lymphocyte ratio (NLR) were significantly higher in hospitalized than in home-managed cases (CRP = 33.1 mg/dl vs. 2.0 and NLR = 5.9 vs. 3.3, p < 0.001). Although some infections occurred in the second wave, corresponding to Alpha/Beta/Gamma VOCs, the majority of breakthrough episodes occurred during Delta and Omicron variant periods (41% and 53%, respectively), and illness severity was mild in the great majority (86%), even though a moderate to severe infection accounted for more than half of hospitalized patients. Five deaths were registered: 3 and 2 in hospitalized and home managed cases, respectively (12% vs. 1%, p = 0.011). The number of vaccine doses was the same in the 2 groups, and patients fully vaccinated (3–4 shots) were 42% and 41%, respectively. Mild adverse events (AE) attributed to vaccination were seen in only 3 patients (1.3%).

Table 2.

Characteristics of vaccine breakthrough infections according to the severity of Covid-19.

Total pts without previous infection HOME-TREATED HOSPITALIZED p
N = 231 N = 205 N = 26
Male gender 105/231 (45.5%) 87/205 (42.4%) 18/26 (69.2%) 0.010
Age at COVID diagnosis 60.4 (49.8–73.2) 57.4 (49.2–71.5) 75.5 (67.3–84.3) <0.001
>70 71/231 (30.7%) 55/205 (26.8%) 16/26 (61.5%) <0.001
MPN diagnosis
ET 89/231 (38.5%) 80/205 (39.0%) 9/26 (34.6%) 0.66
PV 75/231 (32.5%) 68/205 (33.2%) 7/26 (26.9%) 0.52
MF 54/231 (23.4%) 44/205 (21.5%) 10/26 (38.5%) 0.054
Early/pre-PMF 13/231 (5.6%) 13/205 (6.3%) 0/26 (0.0%) 0.19
Previous thrombosis 36/231 (15.6%) 30/205 (14.6%) 6/26 (23.1%) 0.26
Mutational status
JAK2 V617F 166/227 (73.1%) 147/203 (72.4%) 19/24 (79.2%) 0.48
CALR 34/136 (25.0%) 32/126 (25.4%) 2/10 (20.0%) 0.70
MPL 7/131 (5.3%) 6/123 (4.9%) 1/8 (12.5%) 0.36
JAK2 EXON12 0/70 (0.0%) 0/65 (0.0%) 0/5 (0.0%)
Spleen palpable
 No 152/218 (69.7%) 136/193 (70.5%) 16/25 (64.0%)
 Yes 64/218 (29.4%) 55/193 (28.5%) 9/25 (36.0%) 0.60
Previously splenectomized 2/218 (0.9%) 2/193 (1.0%) 0/25 (0.0%)
Size below costal margin (cm) 5.0 (2.0–7.0) 4.5 (2.0–7.0) 6.0 (4.0–20.0) 0.11
MPN-treatment before COVID
Phlebotomy 38/230 (16.5%) 36/204 (17.6%) 2/26 (7.7%) 0.20
Cytoreduction pre-COVID 167/230 (72.6%) 144/204 (70.6%) 23/26 (88.5%) 0.054
Type:
HU 93/231 (40.3%) 83/205 (40.5%) 10/26 (38.5%) 0.84
Anagrelide 19/231 (8.2%) 19/205 (9.3%) 0/26 (0.0%) 0.11
Interferon 5/231 (2.2%) 5/205 (2.4%) 0/26 (0.0%) 0.42
Ruxolitinib 40/231 (17.3%) 29/205 (14.1%) 11/26 (42.3%) <0.001
Other 11/231 (4.8%) 9/205 (4.4%) 2/26 (7.7%) 0.36
Characteristics of Covid-19
Wave
 2 (Alpha, Beta, Gamma) 14/231 (6.1%) 11/205 (5.4%) 3/26 (11.5%) 0.20
 3 (Delta) 94/231 (40.7%) 79/205 (38.5%) 15/26 (57.7%) 0.061
 4 (Omicron) 123/231 (53.2%) 115/205 (56.1%) 8/26 (30.8%) 0.015
COVID-19 severitya
Asymptomatic infection 11/220 (5.0%) 11/197 (5.6%) 0/23 (0.0%) 0.61
Mild Illness 190/220 (86.4%) 180/197 (91.4%) 10/23 (43.5%) <0.001
Moderate Illness 6/220 (2.7%) 4/197 (2.0%) 2/23 (8.7%) 0.12
Severe/critical Illness 13/220 (5.9%) 2/197 (1.0%) 11/23 (47.8%) <0.001
Respiratory support 19/231 (8.2%) 3/205 (1.5%) 16/26 (61.5%) <0.001
ICU 5/230 (2.2%) 1/204 (0.5%) 4/26 (15.4%) <0.001
Saturation 98.0 (96.0–99.0) 98.0 (97.0–99.0) 92.0 (88.0–94.0) <0.001
Lab values at COVID diagnosis
Hb 12.9 (11.3–14.0) 13.0 (11.5–14.1) 11.5 (9.0–13.1) 0.002
HCT 40.0 (36.0–44.0) 40.5 (36.7–44.5) 37.5 (27.3–40.1) 0.004
RDW 16.5 (14.3–18.7) 16.0 (13.9–18.1) 18.3 (15.4–18.9) 0.093
WBC 7.5 (5.5–10.5) 7.5 (5.7–10.2) 8.1 (4.8–11.5) 0.93
Neutrophils 68.9 (56.9–76.0) 67.1 (56.3–75.0) 75.3 (63.0–82.8) 0.028
Lymphocytes 18.2 (10.9–26.8) 19.8 (12.0–28.2) 13.1 (7.4–18.5) 0.005
Neutrophils/lymphocytes ratio 3.6 (2.1–6.0) 3.3 (2.0–5.3) 5.9 (3.6–10.2) <0.001
PLT 401.0 (226.0–608.5) 430.0 (274.0–622.0) 199.0 (119.0–294.0) <0.001
LDH 243.0 (200.0–470.0) 236.5 (191.0–447.0) 415.0 (269.0–573.0) 0.022
CRP 8.9 (1.4–32.9) 2.0 (0.9–16.0) 33.1 (17.0–123.0) <0.001
Fibrin 402.0 (339.0–579.0) 339.0 (309.0–480.0) 432.0 (360.0–726.0) 0.12
D-dimer 510.0 (270.0–759.0) 331.5 (185.0–568.5) 650.0 (440.0–910.0) 0.015
Vaccine information
Months from last vaccine dose to infection 4.0 (1.4–6.6) 4.0 (1.5–6.7) 2.6 (1.2–6.0) 0.37
N° administered doses
 Only 1 dose 22/231 (9.5%) 19/205 (9.3%) 3/26 (11.5%) 0.90
 2 doses 115/231 (49.8%) 103/205 (50.2%) 12/26 (46.2%)
 3–4 doses 94/231 (40.7%) 83/205 (40.5%) 11/26 (42.3%)
Vaccine type
 Pfizer/BioNTech 179/231 (77.5%) 164/205 (80.0%) 15/26 (57.7%) 0.010
 Moderna 28/231 (12.1%) 22/205 (10.7%) 6/26 (23.1%) 0.069
 AstraZeneca 18/231 (7.8%) 14/205 (6.8%) 4/26 (15.4%) 0.13
 Johnson&Johnson 5/231 (2.2%) 4/205 (2.0%) 1/26 (3.8%) 0.45
 UNK 1/231 (0.4%) 1/205 (0.5%) 0/26 (0.0%)
Outcome
Death 5/231 (2.2%) 2/205 (1.0%) 3/26 (11.5%) 0.011

aAccording to the NIH COVID-19 Treatment Guidelines.

Compared with the normal population of the 2 US cohorts of patients experiencing COVID-19 after vaccination [13], the proportion of hospitalization in our patients is markedly higher (11% vs 4.4% and 1.8%). This difference was not attributable to the number of vaccine shots in home-managed and in hospitalized patients and the two groups did not differ regarding the time between the last shot of vaccination and the onset of infection, likely excluding that hospitalization could be attributed to the waning of vaccine protection. This possibility is particularly relevant with Delta and Omicron variants which are able, at least partially, to evade vaccine-induced immunity [11].

In a multivariable logistic model fitted to predict hospitalization, we found that this risk was age-related and substantially higher in males on ruxolitinib (Fig. 1S, panel A). Interestingly, these two factors were also related to a progressive increase of NLR inflammatory biomarker (Fig. 1S, panel B), suggesting a connection between sex, aging and inflammation.

In conclusion, we have provided quantitative estimates of SARS-CoV2 infections in vaccinated patients with MPN revealing a higher rate of severe disease than in the normal population. Compared to unvaccinated, a trend for a lower reinfection rate was found in patients with hybrid vaccination. In COVID-naïve MPN patients, current original vaccine shots have shown a limited protection against delta and omicron VOCs. While waiting for the results of the new boosters targeting the newest strains of the omicron variants, we suggest a prompt identification of the MPN subgroup at high risk of hospitalization, in which early treatment with the recent monoclonal antibodies against the spike protein of the SARS-CoV-2 virus, anti-inflammatory and antiviral drugs can be suggested.

Supplementary information

Figure 1S (232.5KB, docx)

Acknowledgements

The study was supported by a research grant by the COVID “3 × 1 project”, BREMBO S.p.A., Bergamo, Italy (T.B.) and by AIRC 5 × 1000 call “Metastatic disease: the key unmet need in oncology” to MYNERVA project, #21267 (MYeloid NEoplasms Research Venture AIRC). A detailed description of the MYNERVA project is available at https://progettomynerva.it (A.M.V., P.G.). The study was also supported by HARMONY PLUS, which is funded through the Innovative Medicines Initiative (IMI), Europe’s largest public–private initiative aiming to speed up the development of better and safer medicines for patients. The HARMONY Alliance has received funding from IMI 2 Joint Undertaking and is listed under grant agreement No. 945406. This Joint Undertaking receives support from the European Union’s Horizon 2020 Research and Innovation Programme and the European Federation of Pharmaceutical Industries and Associations (EFPIA). IMI supports collaborative research projects and builds networks of industrial and academic experts in order to boost pharmaceutical innovation in Europe.

Author contributions

TB conceived and designed the study, supervised the analysis and wrote the paper. AMV, SK revised the study and contributed to manuscript writing. AC and AG performed statistical analysis. VDS, MAS, ER, EME, FL, MGK, BC, PG, MB, MM, AAL, LF, MB, RD, GB, GCT, AP, HKAA, MMMAC, FP, CH, MAF, SO, SK, EMM, JJK, EBC, FHH, KQC, MG, VGG, AMS, JCHB, ELA, GC, MSS, RK, BXC, MG, BNE, AA, EC, AKDN, DC, CB, SB, OB, FC, SC, NCG, LB, AR collected data. All authors revised and approved the final version of the manuscript.

Data availability

Aggregated data available by request. Patient-level data will not be shared.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

The online version contains supplementary material available at 10.1038/s41408-022-00749-8.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figure 1S (232.5KB, docx)

Data Availability Statement

Aggregated data available by request. Patient-level data will not be shared.


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