Literature DB >> 35689346

Management of Cerebral Venous Thrombosis Due to Adenoviral COVID-19 Vaccination.

Adrian Scutelnic1, Katarzyna Krzywicka2, Sven Poli3,4, Mirjam R Heldner1, Joshua Mbroh3,4, Anita van de Munckhof2, Mayte Sánchez van Kammen2, Diana Aguiar de Sousa5, Erik Lindgren6,7, Katarina Jood6,7, Albrecht Günther8, Sini Hiltunen9, Jukka Putaala9, Andreas Tiede10, Frank Maier11, Rolf Kern12, Thorsten Bartsch13, Katharina Althaus14, Alfonso Ciccone15, Markus Wiedmann16, Mona Skjelland16, Antonio Medina17, Elisa Cuadrado-Godia18, Thomas Cox19, Avinash Aujayeb20, Nicolas Raposo21, Katia Garambois22, Jean-Francois Payen22, Fabrice Vuillier23, Guillaume Franchineau24, Serge Timsit25, David Bougon26, Marie-Cécile Dubois27, Audrey Tawa28, Clement Tracol29, Emmanuel De Maistre30, Fabrice Bonneville31, Caroline Vayne32, Annerose Mengel33, Dominik Michalski34, Johann Pelz34, Matthias Wittstock35, Felix Bode36, Julian Zimmermann36, Judith Schouten37, Alina Buture38, Sean Murphy38, Vincenzo Palma39, Alberto Negro40, Alexander Gutschalk41, Simon Nagel41, Silvia Schoenenberger41, Giovanni Frisullo42, Carla Zanferrari43, Francesco Grillo44, Fabrizio Giammello45, Mar Morin Martin46, Alvaro Cervera47, Jim Burrow47, Carlos Garcia Esperon48, Beng Lim Alvin Chew48, Timothy J Kleinig49, Cristina Soriano50, Domenico S Zimatore51, Marco Petruzzellis52, Ahmed Elkady53, Miguel S Miranda54, João Fernandes55, Åslög Hellström Vogel56, Elias Johansson57,58, Anemon Puthuppallil Philip59, Shelagh B Coutts60, Simerpreet Bal60, Brian Buck61, Catherine Legault62, Dylan Blacquiere63, Hans D Katzberg64, Thalia S Field65, Vanessa Dizonno66, Thomas Gattringer67, Christian Jacobi67, Annemie Devroye68, Robin Lemmens68, Espen Saxhaug Kristoffersen69, Monica Bandettini di Poggio70, Masoud Ghiasian71, Theodoros Karapanayiotides72, Sophie Chatterton73, Miriam Wronski74, Karl Ng75, Robert Kahnis76, Thomas Geeraerts77, Peggy Reiner78, Charlotte Cordonnier79, Saskia Middeldorp80, Marcel Levi81,82, Eric C M van Gorp83, Diederik van de Beek2, Justine Brodard84, Johanna A Kremer Hovinga84, Marieke J H A Kruip85, Turgut Tatlisumak4, José M Ferro86, Jonathan M Coutinho2, Marcel Arnold1.   

Abstract

OBJECTIVE: Cerebral venous thrombosis (CVT) caused by vaccine-induced immune thrombotic thrombocytopenia (VITT) is a rare adverse effect of adenovirus-based severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) vaccines. In March 2021, after autoimmune pathogenesis of VITT was discovered, treatment recommendations were developed. These comprised immunomodulation, non-heparin anticoagulants, and avoidance of platelet transfusion. The aim of this study was to evaluate adherence to these recommendations and its association with mortality.
METHODS: We used data from an international prospective registry of patients with CVT after the adenovirus-based SARS-CoV-2 vaccination. We analyzed possible, probable, or definite VITT-CVT cases included until January 18, 2022. Immunomodulation entailed administration of intravenous immunoglobulins and/or plasmapheresis.
RESULTS: Ninety-nine patients with VITT-CVT from 71 hospitals in 17 countries were analyzed. Five of 38 (13%), 11 of 24 (46%), and 28 of 37 (76%) of the patients diagnosed in March, April, and from May onward, respectively, were treated in-line with VITT recommendations (p < 0.001). Overall, treatment according to recommendations had no statistically significant influence on mortality (14/44 [32%] vs 29/55 [52%], adjusted odds ratio [OR] = 0.43, 95% confidence interval [CI] = 0.16-1.19). However, patients who received immunomodulation had lower mortality (19/65 [29%] vs 24/34 [70%], adjusted OR = 0.19, 95% CI = 0.06-0.58). Treatment with non-heparin anticoagulants instead of heparins was not associated with lower mortality (17/51 [33%] vs 13/35 [37%], adjusted OR = 0.70, 95% CI = 0.24-2.04). Mortality was also not significantly influenced by platelet transfusion (17/27 [63%] vs 26/72 [36%], adjusted OR = 2.19, 95% CI = 0.74-6.54).
CONCLUSIONS: In patients with VITT-CVT, adherence to VITT treatment recommendations improved over time. Immunomodulation seems crucial for reducing mortality of VITT-CVT. ANN NEUROL 2022;92:562-573.
© 2022 The Authors. Annals of Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association.

Entities:  

Mesh:

Substances:

Year:  2022        PMID: 35689346      PMCID: PMC9349982          DOI: 10.1002/ana.26431

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   11.274


Cases of cerebral venous thrombosis (CVT) have been reported after adenovirus‐based severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) vaccination with ChAdOx1 nCoV‐19 (Vaxzevria, AstraZeneca/Oxford) or Ad26.COV2.S (Janssen/Johnson & Johnson). , , , , , Due to an immune‐mediated platelet‐consuming mechanism, the condition has been named vaccine‐induced immune thrombotic thrombocytopenia (VITT). , , On March 28, 2021, after pathophysiological similarity between VITT and the autoimmune variant of heparin‐induced thrombocytopenia (aHIT) became evident, treatment recommendations for VITT were proposed. , These differed radically from standard management of both CVT and thrombocytopenia. , , , Immunomodulation, which was known to limit the pathological immune response in aHIT, became a key component in the treatment of VITT. , Heparin, an established treatment for non‐VITT CVT, was hypothesized to be harmful in patients with VITT‐CVT due to cross‐reactivity of platelet‐activating antibodies against platelet factor 4 similar to those found in aHIT. Platelet transfusion, used as treatment for severe thrombocytopenia, was thought to carry a risk for worsening of thrombosis. Consequently, the new VITT treatment recommendations, comprised all 3 therapeutic approaches: (1) immunomodulation with intravenous immunoglobulins and/or plasma exchange (2) non‐heparin‐based anticoagulants (such as fondaparinux or argatroban), and, (3) when possible, avoidance of platelet transfusion. , , , Using data from an international prospective registry, the aim of this study was (a) to analyze adherence of physicians to the published VITT treatment recommendations and (b) to determine whether adherence to treatment recommendations was associated with a reduction in mortality.

Methods

Study Design and Patient Selection

We analyzed data from an ongoing international CVT registry, details of which have been published. In short, participating investigators were asked to report consecutive patients who developed CVT within 28 days of any SARS‐CoV‐2 vaccination from their hospital. Data were collected using a standardized electronic case report form (Castor EDC; Ciwit B.V., Amsterdam, The Netherlands). The ethical review committee of the Academic Medical Center Amsterdam gave a waiver of formal approval for this observational cohort study. Each center was responsible for obtaining permission from local authorities for study participation and for acquiring informed consent for the use of pseudonymized patient data if required by national law and hospital regulation. Authors A.S., K.K., S.P., and M.R.H. had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. The study was endorsed by the European Academy of Neurology and European Stroke Organisation. For the current study, we included patients with possible, probable, or definite VITT‐CVT according to the criteria proposed by an expert hematology panel by the British Society for Haematology, who were reported to the consortium until January 18, 2022. In all included cases, CVT was confirmed radiologically or at autopsy, and symptom onset was within 28 days of adenovirus‐based SARS‐CoV‐2 vaccination.

Definitions

VITT treatment recommendations were defined based on the recommendations of the International Society of Thrombosis and Haemostasis (ISTH) with national guidelines being very similar (Table S1). To be treated according to recommendations, patients needed to fulfill 3 conditions: (1) treatment with immunomodulation (ie, intravenous immunoglobulins and/or plasma exchange); (2) treatment with non‐heparin anticoagulants only (regardless of the baseline platelet count), or no anticoagulants (if there was systemic bleeding or if the baseline platelet count was below 50 × 103/μl); and (3) no platelet transfusion, unless required for surgery. Heparins were defined as unfractionated heparin or low‐molecular‐weight heparins in any dosage. Non‐heparin anticoagulants were defined as any anticoagulant apart from unfractionated heparin or low‐molecular‐weight heparins. Major bleeding was also defined according to ISTH criteria. Coma was defined as Glasgow Coma Scale score lower than 9.

Data Analysis

We used descriptive statistics for temporal analysis, for analysis of adherence to the recommendations, and for treatments and outcomes of patients treated with different modalities. We used nonparametric statistics to determine significance and considered a 2‐sided probability value below 0.05 as significant. Confidence intervals (CIs) were calculated using Wilson's method. Specifically tested were: frequencies of baseline variables (age, intracerebral hemorrhage [ICH] at baseline, and platelet count at admission), adherence to recommendations, treatment modalities given, and mortality between patients diagnosed in 3 time periods from before (ie, March) to after introduction of VITT treatment recommendations (ie, April and from May onward). , The number of missing values for each variable is reported. Odds ratios (ORs) for mortality per different treatment modality were calculated using binary logistic regression. Based on previous studies on predictors of mortality in CVT in general and in VITT‐CVT, we adjusted for the following variables: age, coma, ICH at presentation, and baseline platelet count. , , Primary outcome was in‐hospital mortality. As a sensitivity analysis, we performed the same unadjusted and adjusted binary logistic regression including only definite VITT‐CVT cases. Analyses were performed with IBM SPSS Statistics for Windows, version 28.0 (IBM Corp., Armonk, NY).

Results

Of the 217 cases with CVT after SARS‐CoV‐2 vaccination reported in the registry until January 18, 2022, there were 99 patients from 71 hospitals in 17 countries who fulfilled the selection criteria and were included in the analysis. Patient selection is shown in Figure 1. Patients were diagnosed between March 3, 2021, and August 24, 2021. For distribution of patients between countries, see Table 1.
Figure 1

Flowchart of patient selection. CVT = cerebral venous thrombosis; nCOV = novel coronavirus disease; SARS‐CoV‐2 = severe acute respiratory syndrome‐coronavirus 2; VITT = vaccine‐induced immune thrombotic thrombocytopenia.

Table 1

Participating Countries

Participating countriesNo. of cases
Australia10
Austria2
Belgium3
Canada7
Finland2
France14
Germany22
Iran4
Ireland1
Italy13
Netherlands4
Norway5
Portugal1
Saudi Arabia3
Spain3
Sweden3
United Kingdom2
Total99
Flowchart of patient selection. CVT = cerebral venous thrombosis; nCOV = novel coronavirus disease; SARS‐CoV‐2 = severe acute respiratory syndrome‐coronavirus 2; VITT = vaccine‐induced immune thrombotic thrombocytopenia. Participating Countries Median age (interquartile range [IQR]) was 47 (32–57) years and 75 of 99 (75%) of the patients were women. Ninety‐one of 99 (92%) patients received the ChAdOx1 nCov‐19 vaccine and 8 of 99 (8%) received the Ad26.COV2.S vaccine. Three patients (3%) developed VITT‐CVT after a second dose of ChAdOx1 nCov‐19 vaccine. One patient with definite VITT had confirmed coronavirus disease 2019 (COVID‐19) 8 days after vaccination (3 days before CVT diagnosis). Further baseline characteristics are presented in Table 2.
Table 2

Baseline Characteristics and Vaccination Details Among Patients with VITT‐CVT Diagnosed in March, April, and from May Onward

All VITT‐CVT (N = 99)VITT‐CVT diagnosed in March (N = 38)VITT‐CVT diagnosed in April (N = 24)VITT‐CVT diagnosed from May onwards (N = 37) p value
Baseline characteristics
Age, yr a 47 (32–57)44 (32–52)43 (30–62)50 (39–63)0.124
Sex, female75/99 (75)33/38 (86)17/24 (70)25/37 (67)0.122
Risk factor b 47/99 (47)20/38 (53)12/24 (50)15/37 (41)0.554
Additional VTE c 22/99 (22)6/38 (15)4/24 (16)12/37 (32)0.310
Coma24/99 (24)9/38 (23)6/24 (25)9/37 (24)0.950
Intracerebral hemorrhagic lesion71/99 (71)33/38 (86)17/24 (70)21/37 (56)0.015
Intracerebral non‐hemorrhagic lesion26/99 (26)15/38 (39)5/24 (20)6/37 (16)0.177
Platelet count, × 103/μl a 48 (27–75)39 (24–64)50 (29–82)54 (29–85)0.152
D‐dimer, mg/l FEU a 20 (9–35)31 (13–35)17 (5–24)18 (8–29)0.049
Fibrinogen, g/l a 2.0 (1.1–2.8)1.8 (1.1–2.6)2.3 (1.1–3.4)2.2 (1.1–2.8)0.448
Anti PF4 antibodies 0.499
Positive79/99 (79)28/38 (73)20/24 (83)31/37 (83)
Negative7/99 (7)4/38 (10)0/24 (0)3/37 (8)
Not tested13/99 (13)6/38 (15)4/24 (16)3/37 (8)
VITT classification 0.030
Definite69/99 (69)26/38 (68)14/24 (58)29/37 (78)
Probable19/99 (19)8/38 (21)9/24 (37)2/37 (5)
Possible11/99 (11)4/38 (10)1/24 (4)6/37 (16)
Vaccine type 0.001
ChAdOx1 nCoV‐1991/99 (91)38/38 (100)24/24 (100)29/37 (78)
Ad26.COV2.S8/99 (8)0/38 (0)0/24 (0)8/37 (12)
Days from vaccination to symptom onset a 9 (7–10)8 (7–10)9 (7–11)9 (6–11)0.776
Days from symptom onset to diagnosis a 3 (1–5)3 (2–4)2 (1–4)4 (1–7)0.253

CVT = cerebral venous thrombosis; FEU = fibrinogen equivalent units; nCOV = novel coronarvisus; PF4 = platelet factor 4; VITT = vaccine‐induced immune thrombotic thrombocytopenia; VTE = venous thromboembolism.

Median (interquartile range [IQR]), all other data shown in n/N (%).

Risk factors for CVT included = prothrombotic medication, recent delivery (12 weeks), pregnancy, recent head trauma (1 week), recent head or neck infection (1 week), recent central nervous system infection, other infection, history of autoimmune disease, previous VTE, known thrombophilia, dehydration (1 week), history of cancer (last 10 years), first degree relative with VTE.

Additional VTE at presentation: pulmonary embolism n = 8, pulmonary embolism and portal vein thrombosis n = 2, pulmonary embolism, portal and hepatic vein thrombosis n = 1, pulmonary embolism, hepatic and iliac vein thrombosis n = 1, pulmonary embolism and uterine vein thrombosis n = 2, pulmonary embolism, cava and popliteal vein thrombosis n = 1, pulmonary embolism, vena cava thrombosis and right ventricular thrombus n = 1, hepatic vein thrombosis n = 2, hepatic and portal vein thrombosis n = 1, renal vein thrombosis n = 1, thrombosis of deep veins of the leg (not specified) n = 1, and deep vein thrombosis (not specified) n = 1.

Baseline Characteristics and Vaccination Details Among Patients with VITT‐CVT Diagnosed in March, April, and from May Onward CVT = cerebral venous thrombosis; FEU = fibrinogen equivalent units; nCOV = novel coronarvisus; PF4 = platelet factor 4; VITT = vaccine‐induced immune thrombotic thrombocytopenia; VTE = venous thromboembolism. Median (interquartile range [IQR]), all other data shown in n/N (%). Risk factors for CVT included = prothrombotic medication, recent delivery (12 weeks), pregnancy, recent head trauma (1 week), recent head or neck infection (1 week), recent central nervous system infection, other infection, history of autoimmune disease, previous VTE, known thrombophilia, dehydration (1 week), history of cancer (last 10 years), first degree relative with VTE. Additional VTE at presentation: pulmonary embolism n = 8, pulmonary embolism and portal vein thrombosis n = 2, pulmonary embolism, portal and hepatic vein thrombosis n = 1, pulmonary embolism, hepatic and iliac vein thrombosis n = 1, pulmonary embolism and uterine vein thrombosis n = 2, pulmonary embolism, cava and popliteal vein thrombosis n = 1, pulmonary embolism, vena cava thrombosis and right ventricular thrombus n = 1, hepatic vein thrombosis n = 2, hepatic and portal vein thrombosis n = 1, renal vein thrombosis n = 1, thrombosis of deep veins of the leg (not specified) n = 1, and deep vein thrombosis (not specified) n = 1.

Temporal Change in Management and Outcome

With a median age (IQR) of 44 (IQR = 32–52) and 43 (IQR = 30–62), patients diagnosed in March and in April, respectively, tended to be younger than those diagnosed in May and onward (50 [IQR = 39–63] years, p = 0.124). Cases diagnosed in March and April more frequently presented with ICH (87% vs 71%, respectively) compared to cases diagnosed from May onward (57%, p = 0.015). Early cases had a similar median (IQR) baseline platelet level of 39 (IQR = 24–64) × 103 per μl versus 50 (IQR = 29–82) and 54 (IQR = 29–85) × 103 per μl in those diagnosed in April and in May and onward (p = 0.152). Median (IQR) number of days between the vaccination and symptom onset were 8 (IQR = 7–10) versus 9 (IQR = 7–11) versus 9 (IQR = 6–11) in cases diagnosed in March versus April versus from May onward (p = 0.776). Thirteen out of 99 (13%) patients died within 24 hours of admission. In March, 20 of 38 (53%) patients versus April, 13 of 24 (54%) patients versus from May onward, 32 of 37 (87%) patients were treated with immunomodulation (p = 0.003), 26 of 38 (68%) versus 4 of 24 (16%) versus 4 of 37 (10%) with heparins (p < 0.001), and 7 of 38 (18%) versus 4 of 24 (16%) versus 1 of 37 (2%) patients were given platelet transfusion unrelated to surgery (p = 0.084; Table 3).
Table 3

Treatment and Outcomes in Patients With VITT‐CVT Diagnosed in March, April, and from May Onward

All VITT‐CVT (N = 99)VITT‐CVT diagnosed in March (N = 38)VITT‐CVT diagnosed in April (N = 24)VITT‐CVT diagnosed from May onwards (N = 37) p value
Immunomodulation65/99 (66)20/38 (53)13/24 (54)32/37 (87)0.003
IVIG64/99 (64)19/38 (50)13/24 (54)32/37 (86)0.002
Only IVIG38/99 (38)8/38 (21)9/24 (37)21/37 (56)0.056
Plasma exchange4/99 (4)3/38 (8)0/24 (0)1/37 (2)0.267
Anticoagulation
Any anticoagulant86/99 (86)33/38 (86)19/24 (79)34/37 (92)0.356
Heparins at any time34/99 (34)26/38 (68)4/24 (16)4/37 (10)0.000
Non‐heparins at any time73/99 (34)22/38 (58)17/24 (70)34/37 (92)0.003
Non‐heparins only51/99 (51)7/38 (18)15/24 (62)29/37 (78)0.000
Platelet transfusion27/99 (27)15/38 (39)4/24 (16)8/37 (21)0.090
Platelet transfusion for intended acute surgery15/99 (15)8/38 (21)0/24 (0)7/37 (18)
Platelet transfusion not for intended acute surgery12/99 (12)7/38 (18)4/24 (16)1/37 (2)
Treated according to all recommendations44/99 (44)5/38 (13)11/24 (46)28/37 (76)0.000
Bleeding complication during admission32/99 (32)14/38 (36)5/24 (20)13/37 (35)0.495
Worsening or new ICH24/99 (24)11/38 (29)2/24 (8)11/37 (29)0.495
Outcome
Death43/99 (43)20/38 (52)12/24 (50)11/37 (29)0.102

CVT = cerebral venous thrombosis; heparins = unfractionated heparin and/or low‐molecular‐weight heparins; ICH = intracerebral hemorrhage; Immunomodulation = IVIG and/or plasmapheresis; IVIG = intravenous immunoglobulins; VITT = vaccine‐induced immune thrombotic thrombocytopenia.

All data shown in n/N (%).

Treatment and Outcomes in Patients With VITT‐CVT Diagnosed in March, April, and from May Onward CVT = cerebral venous thrombosis; heparins = unfractionated heparin and/or low‐molecular‐weight heparins; ICH = intracerebral hemorrhage; Immunomodulation = IVIG and/or plasmapheresis; IVIG = intravenous immunoglobulins; VITT = vaccine‐induced immune thrombotic thrombocytopenia. All data shown in n/N (%). Overall, the proportion of patients treated according to VITT recommendations increased over time: 5 of 38 (13%), 11 of 24 (46%), and 28 of 37 (76%) in March, April, and from May onward, respectively (p < 0.001; see Table 3). Twenty of 38 (52%, 95% CI = 37–67%) patients with VITT‐CVT treated in March, 12 of 24 (50%, 95% CI = 31–68%) treated in April, and 11 of 37 (29%, 95% CI = 17–45%) treated from May onward, died (Fig 2) (March and April vs May, p = 0.034).
Figure 2

Temporal changes in treatments given to patients with VITT‐CVT diagnosed in March, April, and from May onward. CVT = cerebral venous thrombosis; VITT = vaccine‐induced immune thrombotic thrombocytopenia.

Temporal changes in treatments given to patients with VITT‐CVT diagnosed in March, April, and from May onward. CVT = cerebral venous thrombosis; VITT = vaccine‐induced immune thrombotic thrombocytopenia.

Descriptive Analysis of Management

Forty‐four of all 99 patients with VITT‐CVT (44%) were treated according to VITT recommendations. Among patients who were not treated according to recommendations, 32 of 55 (58%) were diagnosed before the pathophysiological mechanism was published. Interestingly, 5 patients received appropriate treatments even before VITT recommendations were published on March 28, 2021. Among patients who did not fulfill one recommendation criterium (24/55, 44%), this was due to administration of heparins or withholding anticoagulation (16/24, 67%), lack of immunomodulation (6/24, 25%), and platelet transfusion without surgery indication (2/24, 8%). In 25 of 55 (45%) cases, 2 criteria were not fulfilled, and in 6 of 55 (11%) cases all 3 criteria were not fulfilled. Among patients who received immunomodulation, 61 of 65 (94%) received intravenous immunoglobulins, 1 of 65 (2%) received plasma exchange, and 3 of 65 (5%) received both. Twenty‐five of 65 (38%) patients received adjuvant steroids. Two patients received additional eculizumab, 2 of 65 (2%). Among those who did not receive immunomodulation, 4 of 34 (11%) received steroids only. Eighty‐six of 99 patients (86%) received any anticoagulation of whom 13 (15%) were treated only with heparins, 51 (59%) only with non‐heparins, and 22 (26%) with both. Reasons for not administering anticoagulation were brain death on admission or soon thereafter (5/13, 38%), limitation of care due to poor prognosis (2/13, 15%), extensive intracranial hemorrhage (4/13, 31%), unawareness of VITT diagnosis (1/13, 8%) and unknown (1/13, 8%). Out of 27 of 99 (27%) patients who received platelet transfusion, 15 of 27 (56%) were transfused prior to planned surgery and 12 of 15 (80%) of these actually underwent surgery. Baseline platelet count was similar among patients who received platelet transfusion (median 48 [IQR = 27–77] × 103 per μl) and patients who did not (49 [IQR = 27–75] × 103 per μl, p = 0.712). Platelet nadir values, however, differed significantly between transfused (20 [IQR = 11–32]) and non‐transfused patients (37 [IQR = 25–61], p < 0.001). Furthermore, more patients treated with platelet transfusion had ICH at baseline (22/27 [81%] vs 49/72 [68%]), coma at baseline (11/27 [40%] vs 13/72 [18%]), and were treated with decompressive craniectomy (14/27 [52%] vs 16/72 [22%]). Detailed descriptive analysis of patients who were treated using different modalities is shown in Table 4.
Table 4

Baseline Characteristics, Treatment, and Outcome in Patients With VITT‐CVT in Different Treatment Groups

According to all recommendationsImmunomodulationNon‐heparins only b Platelet transfusion
Yes (N = 44)No (N = 55)Yes (N = 65)No (N = 34)Yes (N = 51)No (N = 35)Yes (N = 27)No (N = 72)
Baseline characteristics
Age, yr a 48 (37–62)44 (31–54)46 (32–58)47 (32–57)47 (33–60)42 (27–50)46 (33–60)47 (31–57)
Sex, female30/44 (68)45/55 (81)49/65 (75)26/34 (76)37/51 (72)28/35 (80)20/27 (74)55/72 (76)
Coma8/44 (18)16/55 (29)11/65 (17)13/34 (38)10/51 (19)5/35 (14)11/27 (40)13/72 (18)
ICH30/44 (68)41/55 (74)44/65 (67)27/34 (79)32/51 (62)26/35 (74)22/27 (81)49/72 (68)
Intracerebral non‐hemorrhagic lesion9/44 (20)17/55 (30)13/65 (20)13/34 (38)13/51 (25)10/35 (28)8/27 (29)18/72 (25)
Platelet count, ×103/μl a 52 (29–79)47 (24–68)53 (29–77)39 (22–61)50 (29–76)49 (27–75)48 (27–77)49 (25–75)
Immuno‐modulation44/44 (100)21/55 (38)44/51 (86)18/35 (51)17/27 (63)48/72 (67)
IVIG44/44 (100)20/55 (36)64/65 (98)0/34 (0)44/51 (86)17/35 (48)16/27 (59)48/72 (66)
Only IVIG30/44 (68)8/55 (14)38/65 (58)0/34 (0)30/51 (58)7/35 (20)9/27 (33)29/72 (40)
Plasma exchange1/44 (2)3/55 (5)4/65 (6)0/34 (0)1/51 (2)3/35 (8)2/27 (7)2/72 (2)
Anticoagulation
Any anticoagulant42/44 (95)44/55 (80)62/65 (95)24/34 (70)22/27 (81)64/72 (89)
No anticoagulant2/44 (4)11/55 (20)3/65 (4)10/34 (29)5/27 (18)8/72 (11)
Heparins at any time0/44 (0)35/55 (63)18/65 (27)17/34 (50)35/35 (100)11/27 (40)23/72 (32)
Non‐heparins only42/44 (95)9/55 (16)44/65 (67)7/34 (20)51/51 (100)11/27 (40)40/72 (56)
Platelet transfusion
Platelet transfusion for any reason8/44 (18)19/55 (34)17/65 (26)10/34 (29)11/51 (21)11/35 (31)
Platelet transfusion for acute surgery8/44 (18)7/55 (12)12/65 (18)3/34 (8)8/51 (15)6/35 (17)15/27 (56)
Mechanical thrombectomy7/44 (16)10/55 (18)12/65 (18)5/34 (14)10/51 (20)7/35 (20)4/27 (15)13/72 (18)
Decompressive craniectomy13/44 (29)17/55 (31)23/65 (35)7/34 (20)14/51 (27)14/35 (40)14/27 (52)16/72 (22)
Complications
New bleeding complication17/44 (38)15/55 (27)23/65 (35)9/34 (26)19/51 (37)9/35 (25)16/27 (59)16/72 (22)
Worsening of or new ICH14/44 (31)10/55 (18)19/65 (29)5/34 (14)15/51 (29)7/35 (20)13/27 (48)11/72 (15)
New VTE6/44 (13)9/55 (16)10/65 (15)5/34 (14)7/51 (13)6/35 (17)9/27 (33)6/72 (8)
Outcome
Death14/44 (32)29/55 (52)19/65 (29)24/34 (70)17/51 (33)13/35 (37)17/27 (63)26/72 (36)

CVT = cerebral venous thrombosis; heparins = unfractionated heparin and/or low‐molecular‐weight heparins; ICH = intracerebral hemorrhage; immunomodulation = IVIG and/or plasmapheresis; IVIG = intravenous immunoglobulins; VITT = vaccine‐induced immune thrombotic thrombocytopenia; VTE = venous thromboembolism.

Median (interquartile range [IQR]), all other data shown in n/N (%);

Patients with no anticoagulation were excluded (n = 13).

Baseline Characteristics, Treatment, and Outcome in Patients With VITT‐CVT in Different Treatment Groups CVT = cerebral venous thrombosis; heparins = unfractionated heparin and/or low‐molecular‐weight heparins; ICH = intracerebral hemorrhage; immunomodulation = IVIG and/or plasmapheresis; IVIG = intravenous immunoglobulins; VITT = vaccine‐induced immune thrombotic thrombocytopenia; VTE = venous thromboembolism. Median (interquartile range [IQR]), all other data shown in n/N (%); Patients with no anticoagulation were excluded (n = 13).

Association Between Management and in‐Hospital Mortality

Among patients who were treated according to VITT recommendations, 14 of 44 (32%, 95% CI = 20–46%) died, compared to 29 of 55 (52%, 95% CI = 39–65%) patients who were not treated according to recommendations (adjusted OR = 0.43, 95% CI = 0.16–1.19; Table 5).
Table 5

Odds Ratios for Mortality in Patients With VITT‐CVT in Different Treatment Groups

Treatment groupMortality per group, n/N (%)
Received treatmentDid not receive treatmentUnadjusted OR (95% CI)Adjusted a OR (95% CI)
According to all recommendations14/44 (32)29/55 (52)0.42 (0.18–0.96)0.43 (0.16–1.19)
Immunomodulation b 19/65 (29)24/34 (70)0.17 (0.07–0.43)0.19 (0.06–0.58)
Non‐heparins only c 17/51 (33)13/35 (37)0.85 (0.34–2.1)0.70 (0.24–2.04)
Platelet transfusion17/27 (63)26/72 (36)3.01 (1.20–7.50)2.19 (0.74–6.54)

95% CI = 95% confidence interval; CVT = cerebral venous thrombosis; OR = odds ratios; VITT = vaccine‐induced immune thrombotic thrombocytopenia.

Adjusted for age, coma, intracranial hemorrhage, and platelet count at presentation.

Immunomodulation comprised intravenous immunoglobulins and/or plasma exchange.

Patients who received only non‐heparins compared with patients who received unfractionated heparin and/or low‐molecular weight heparins at any time. Patients with no anticoagulation were excluded (n = 13).

Odds Ratios for Mortality in Patients With VITT‐CVT in Different Treatment Groups 95% CI = 95% confidence interval; CVT = cerebral venous thrombosis; OR = odds ratios; VITT = vaccine‐induced immune thrombotic thrombocytopenia. Adjusted for age, coma, intracranial hemorrhage, and platelet count at presentation. Immunomodulation comprised intravenous immunoglobulins and/or plasma exchange. Patients who received only non‐heparins compared with patients who received unfractionated heparin and/or low‐molecular weight heparins at any time. Patients with no anticoagulation were excluded (n = 13). Patients who were treated with immunomodulation had a lower risk of death than patients who were not treated with immunomodulation (19/65 [29%] vs 24/34 [70%], adjusted OR = 0.19, 95% CI = 0.06–0.58; see Table 5). Treatment with non‐heparins as the sole type of anticoagulation was not associated with the risk of death compared to use of heparins (17/51 [33%] vs 13/35 [37%], adjusted OR = 0.70, 95% CI = 0.24–2.04). All patients who were not treated with any anticoagulation died (13/13, 100%). Patients who received platelet transfusion (regardless of whether they received surgery or not) did not have a higher risk of death (17/27 [63%] vs 26/72 [36%], adjusted OR = 2.19, 95% CI = 0.74–6.54). In a sensitivity analysis including only patients with definite VITT‐CVT, treatment modalities showed comparable results (Table 6).
Table 6

Odds Ratios for Mortality in Patients With Definite VITT‐CVT in Different Treatment Groups

Treatment groupMortality per group, n/N (%)
Received treatmentDid not receive treatmentUnadjusted OR (95% CI)Adjusted a OR (95% CI)
According to all recommendations13/35 (37)17/34 (50)0.52 (0.23–1.54)0.58 (0.18–1.85)
Immunomodulation b 17/50 (34)13/19 (68)0.24 (0.08–0.74)0.18 (0.06–0.85)
Non‐heparins only c 13/37 (35)10/25 (40)0.81 (0.29–2.31)0.59 (0.17–2.00)
Platelet transfusion11/17 (65)19/52 (31)3.18 (1.01–10.00)1.36 (0.36–5.08)

95%CI = 95% confidence interval; CVT = cerebral venous thrombosis; OR = odds ratios; VITT = vaccine‐induced immune thrombotic thrombocytopenia.

Adjusted for age, coma, intracranial hemorrhage, and platelet count at presentation.

Immunomodulation comprised intravenous immunoglobulins and/or plasma exchange.

Patients who received only non‐heparins compared with patients who received unfractionated heparin and/or low‐molecular weight heparins at any time. Patients with no anticoagulation were excluded (n = 7).

Odds Ratios for Mortality in Patients With Definite VITT‐CVT in Different Treatment Groups 95%CI = 95% confidence interval; CVT = cerebral venous thrombosis; OR = odds ratios; VITT = vaccine‐induced immune thrombotic thrombocytopenia. Adjusted for age, coma, intracranial hemorrhage, and platelet count at presentation. Immunomodulation comprised intravenous immunoglobulins and/or plasma exchange. Patients who received only non‐heparins compared with patients who received unfractionated heparin and/or low‐molecular weight heparins at any time. Patients with no anticoagulation were excluded (n = 7).

Discussion

After the first VITT treatment recommendations were published, 2 crucial questions arose: (1) whether treating physicians adhered to these recommendations, and (2) whether these recommendations were associated with lower mortality. We attempted to address these questions in the present study. We found that: (1) over time, a higher proportion of patients was treated according to the VITT treatment recommendations, and (2) mortality was lower in patients treated with immunomodulation. This is, to our knowledge, the first large multicenter study analyzing adherence to VITT treatment recommendations. Within only approximately 1 month of the publication date of the recommendations, three quarters of patients with VITT‐CVT received the adapted treatment. At the same time mortality started declining, which is in line with recently published findings. Causal inference with implementation of VITT treatment recommendations, however, cannot be determined from this observational study. Alternative contributors to a decrease in mortality should be considered. Our data suggest that over time, reported VITT‐CVT cases were less severe, as potentially reflected by a significantly lower proportion of hemorrhagic lesions at baseline imaging (see Table 2). Because the median numbers of days between symptom onset and diagnosis did not differ, this shift cannot be explained by a shorter delay in diagnosis overall, but rather by increased diagnosis and reporting of less severely affected patients in the later study periods, likely due to increased awareness of VITT‐CVT among physicians. In agreement with this hypothesis, after adjusting for severity markers, such as age, coma, ICH, and platelet counts at presentation, mortality was not lower in patients treated according to all 3 treatment recommendations (OR = 0.43, 95% CI = 0.16–1.19). When looking at the effects of separate modalities, however, immunomodulation was associated with a reduction in mortality. This is in accordance with the findings from previous case reports and small case series, and supports the hypothesis that modulation of the immune system limits the pathological immune response causing VITT. , , Astonishingly, platelet transfusion was not associated with higher mortality. On the one hand, patients who received platelet transfusion more often presented with coma and ICH and were treated with hemicraniectomy, reflecting more severe disease. On the other hand, platelet transfusion might have aggravated VITT reflected by an increased rate of worsening or new ICH and new VTE during admission (see Table 4). The lack of significance after adjustment could be a result of a low number of patients who were treated with platelet transfusion. Last, the observed little‐to‐no effect on mortality with use of non‐heparins instead of heparins for anticoagulation in both unadjusted and adjusted analysis, is in line with recent reports, suggesting that VITT antibodies cross‐react with heparin/platelet factor 4 complexes in only a minority of patients with VITT. More data are required to determine whether heparins can be safely used in patients with VITT. This question is of particular relevance because availability of non‐heparin anticoagulants is limited in developing countries, which are currently the main users of adenovirus‐based SARS‐CoV‐2 vaccines. Importantly, despite decreasing mortality rates potentially associated with the implementation of the recommendations into VITT‐CVT therapy, particularly with immunomodulation, the percentage of deceased patients (29%, 95% CI = 17–45%) remains much higher than in CVT unrelated to vaccination (3.9%). Besides treatments recommended by the ISTH, mechanical thrombectomy and decompressive craniectomy have also been used in our study population (see Table 4). Dedicated research is needed to establish the role of these therapies for CVT in general and in patients with VITT‐CVT. Clinical and laboratory characteristics of patients developing VITT‐CVT after their second dose of ChAdOx1 nCoV‐19 vaccine appear to resemble those of patients who develop the condition after the first dose, suggesting a similar pathomechamism. Therefore, we did not exclude cases of VITT‐CVT after a second vaccine dose from our study.

Strengths and Limitations

The main strength of this multicenter study is that it provides a detailed account of clinical, laboratory, and imaging characteristics, as well as treatments and outcomes. This allows for a robust descriptive analysis reflecting complexity of approaches taken for management of patients with VITT‐CVT, and their evolution over time. Furthermore, the data originated from one of the largest, international post‐SARS‐CoV‐2 vaccination CVT registries, which due to its wide international participation, results in higher generalizability compared to national studies. Its prospective design and standardized data collection consisting of consecutive cases limits the reporting bias and guarantees inclusion of cases with a different severity. The detailed nature of the data allows for studying only CVT cases that fulfilled VITT criteria, which are highly specific and this limits risk of inclusion of patients who experience CVT due to different pathophysiology. In‐hospital mortality as a primary outcome, is a reliable and relevant measure, which reflects effectiveness of the VITT‐CVT treatment. Main limitations of the study are its small sample size, which does not allow for robust statistical analysis of all subgroups, and its observational design. Nevertheless, it is still one of the largest studies on this extremely rare disease, for which power calculations and an interventional randomized study is not feasible. Although true consecutiveness of cases in all countries participating in the registry remains a challenge, we attempted to minimize this bias ensuring inclusion of consecutive patients from the participating centers. Furthermore, complex patterns of management of patients with VITT‐CVT led to the presence of confounders which were difficult to account for and make the results vulnerable to confounding by indication. Treatment approaches shifted not only over time, but also may have reflected changing disease severity. Prior to widespread awareness of VITT and proposed mechanisms, severity on presentation may have in turn been influenced by the initial management and interactions between administered treatments. Although we adjusted for 4 indicators of severity at presentation (age, coma, ICH at presentation, and baseline platelet count), we could not eliminate all potential confounders. Despite increased awareness about VITT‐CVT, patients presenting with either only mild or very severe symptoms may have remained undiagnosed or unreported, and hence not treated, which could have induced a reporting bias. Conversely, given that most participants in this registry were treated in academic hospitals, it is possible that participating investigators were more likely to be aware of VITT and associated published guidelines, whereas knowledge dissemination may have been slower to reach community hospitals. Given the international nature of the study, it is important to mention that limited availability and the high costs of non‐heparins and intravenous immunoglobulins in some centers or countries could have presented another potential source of bias. Last, it could be argued that physicians might have followed local or national but not ISTH recommendations that were used in this study (see Table S1). Most recommendations, however, are very similar to each other with only a few exceptions, such as the recommendations proposed by the German Society of Thrombosis and Haemostasis Research that allow heparin administration to patients with VITT. Nevertheless, not a single patient reported from Germany had received heparins after March 2021. In conclusion, among patients with VITT‐CVT, adherence to international treatment recommendations improved over time and this adherence was associated with decreased mortality. In particular, patients who were treated with immunomodulation had lower death rates. Nevertheless, mortality of VITT‐CVT remained high, emphasizing the need for further research on diagnosis and treatment of this serious condition.

Author Contributions

A.S., K.K., A.M., D.A.S., J.M.F., J.M.C., M.A., S.P., and M.R.H. contributed to the conception and design of the study. All authors contributed to the acquisition and analysis of data. A.S., K.K., J.M.F., J.M.C., M.A., S.P., and M.R.H. contributed to drafting of the text and/or preparing the figures.

Potential Conflicts of Interest

The authors declare no conflicts of interest related to this manuscript. Table S1 Overview of VITT guidelines according to different societies. Click here for additional data file.
  25 in total

Review 1.  Diagnosis and management of cerebral venous thrombosis: a statement for healthcare professionals from the American Heart Association/American Stroke Association.

Authors:  Gustavo Saposnik; Fernando Barinagarrementeria; Robert D Brown; Cheryl D Bushnell; Brett Cucchiara; Mary Cushman; Gabrielle deVeber; Jose M Ferro; Fong Y Tsai
Journal:  Stroke       Date:  2011-02-03       Impact factor: 7.914

2.  Clinical Features of Vaccine-Induced Immune Thrombocytopenia and Thrombosis.

Authors:  Sue Pavord; Marie Scully; Beverley J Hunt; William Lester; Catherine Bagot; Brian Craven; Alex Rampotas; Gareth Ambler; Mike Makris
Journal:  N Engl J Med       Date:  2021-08-11       Impact factor: 91.245

3.  Association of admission clinical predictors and functional outcome in patients with Cerebral Venous and Dural Sinus Thrombosis.

Authors:  Santiago Ortega-Gutierrez; Andrea Holcombe; Nazan Aksan; Biyue Dai; Amir Shaban; Lara Lazarre; Binbin Zheng-Lin; Lauren Sager; Sudeepta Dandapat; Fazeel M Siddiqui; Nicholas M Mohr
Journal:  Clin Neurol Neurosurg       Date:  2019-11-09       Impact factor: 1.876

Review 4.  Diagnosis and Management of Cerebral Venous Sinus Thrombosis With Vaccine-Induced Immune Thrombotic Thrombocytopenia.

Authors:  Karen L Furie; Mary Cushman; Mitchell S V Elkind; Patrick D Lyden; Gustavo Saposnik
Journal:  Stroke       Date:  2021-04-29       Impact factor: 7.914

Review 5.  Challenges in ensuring global access to COVID-19 vaccines: production, affordability, allocation, and deployment.

Authors:  Olivier J Wouters; Kenneth C Shadlen; Maximilian Salcher-Konrad; Andrew J Pollard; Heidi J Larson; Yot Teerawattananon; Mark Jit
Journal:  Lancet       Date:  2021-02-12       Impact factor: 79.321

6.  Declining mortality of cerebral venous sinus thrombosis with thrombocytopenia after SARS-CoV-2 vaccination.

Authors:  Anita van de Munckhof; Katarzyna Krzywicka; Diana Aguiar de Sousa; Mayte Sánchez van Kammen; Mirjam R Heldner; Katarina Jood; Erik Lindgren; Turgut Tatlisumak; Jukka Putaala; Johanna A Kremer Hovinga; Saskia Middeldorp; Marcel Levi; Marcel Arnold; José M Ferro; Jonathan M Coutinho
Journal:  Eur J Neurol       Date:  2021-10-01       Impact factor: 6.089

7.  Cerebral venous thrombosis due to vaccine-induced immune thrombotic thrombocytopenia after a second ChAdOx1 nCoV-19 dose.

Authors:  Katarzyna Krzywicka; Anita van de Munckhof; Julian Zimmermann; Felix J Bode; Giovanni Frisullo; Theodoros Karapanayiotides; Bernd Pötzsch; Mayte Sánchez van Kammen; Mirjam R Heldner; Marcel Arnold; Johanna A Kremer Hovinga; José M Ferro; Diana Aguiar de Sousa; Jonathan M Coutinho
Journal:  Blood       Date:  2022-04-28       Impact factor: 25.476

8.  Post-SARS-CoV-2-vaccination cerebral venous sinus thrombosis: an analysis of cases notified to the European Medicines Agency.

Authors:  Katarzyna Krzywicka; Mirjam R Heldner; Mayte Sánchez van Kammen; Thijs van Haaps; Sini Hiltunen; Suzanne M Silvis; Marcel Levi; Johanna A Kremer Hovinga; Katarina Jood; Erik Lindgren; Turgut Tatlisumak; Jukka Putaala; Diana Aguiar de Sousa; Saskia Middeldorp; Marcel Arnold; Jonathan M Coutinho; José M Ferro
Journal:  Eur J Neurol       Date:  2021-08-04       Impact factor: 6.288

9.  The use of IV immunoglobulin in the treatment of vaccine-induced immune thrombotic thrombocytopenia.

Authors:  Günalp Uzun; Karina Althaus; Anurag Singh; Peter Möller; Ulf Ziemann; Annerose Mengel; Peter Rosenberger; Martina Guthoff; Gabor C Petzold; Jens Müller; Martin Büchsel; Katharina Feil; Hans Henkes; Nils Heyne; Matthias Maschke; Caroline Limpach; Simon Nagel; Ulrich J Sachs; Falko Fend; Tamam Bakchoul
Journal:  Blood       Date:  2021-09-16       Impact factor: 25.476

View more
  1 in total

1.  Long-Term Outcomes after Vaccine-Induced Thrombotic Thrombocytopenia.

Authors:  Victoria Panagiota; Christiane Dobbelstein; Sonja Werwitzke; Arnold Ganser; Nina Cooper; Ulrich J Sachs; Andreas Tiede
Journal:  Viruses       Date:  2022-08-01       Impact factor: 5.818

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.