Literature DB >> 34595368

Hemostasis and fibrinolysis in COVID-19 survivors 6 months after intensive care unit discharge.

Anne-Marije Hulshof1,2, Dionne C W Braeken3, Chahinda Ghossein-Doha4,5, Susanne van Santen5, Jan-Willem E M Sels5, Gerhardus J A J M Kuiper6, Iwan C C van der Horst2,5, Hugo Ten Cate2,3,7, Bas C T van Bussel5,8, Renske H Olie2,3,7, Yvonne M C Henskens1.   

Abstract

BACKGROUND: The prothrombotic phenotype has been extensively described in patients with acute coronavirus disease 2019 (COVID-19). However, potential long-term hemostatic abnormalities are unknown.
OBJECTIVE: To evaluate the changes in routine hemostasis laboratory parameters and tissue-type plasminogen activator (tPA) rotational thromboelastometry (ROTEM) 6 months after COVID-19 intensive care unit (ICU) discharge in patients with and without venous thromboembolism (VTE) during admission.
METHODS: Patients with COVID-19 of the Maastricht Intensive Care COVID cohort with tPA ROTEM measurement at ICU and 6-month follow-up were included. TPA ROTEM is a whole blood viscoelastic assay that illustrates both clot development and fibrinolysis due to simultaneous addition of tissue factor and tPA. Analyzed ROTEM parameters include clotting time, maximum clot firmness (MCF), lysis onset time (LOT), and lysis time (LT).
RESULTS: Twenty-two patients with COVID-19 were included and showed extensive hemostatic abnormalities before ICU discharge. TPA ROTEM MCF (75 mm [interquartile range, 68-78]-59 mm [49-63]; P ≤ .001), LOT (3690 seconds [2963-4418]-1786 seconds [1465-2650]; P ≤ .001), and LT (7200 seconds [6144-7200]-3138 seconds [2591-4389]; P ≤ .001) normalized 6 months after ICU discharge. Of note, eight and four patients still had elevated fibrinogen and D-dimer concentrations at follow-up, respectively. In general, no difference in median hemostasis parameters at 6-month follow-up was observed between patients with (n=14) and without (n=8) VTE, although fibrinogen appeared to be lower in the VTE group (VTE-, 4.3 g/L [3.7-4.7] vs VTE+, 3.4 g/L [3.2-4.2]; P = .05).
CONCLUSIONS: Six months after COVID-19 ICU discharge, no persisting hypercoagulable or hypofibrinolytic profile was detected by tPA ROTEM. Nevertheless, increased D-dimer and fibrinogen concentrations persist up to 6 months in some patients, warranting further exploration of the role of hemostasis in long-term morbidity after hospital discharge.
© 2021 The Authors. Research and Practice in Thrombosis and Haemostasis published by Wiley Periodicals LLC on behalf of International Society on Thrombosis and Haemostasis (ISTH).

Entities:  

Keywords:  COVID‐19; fibrinolysis; follow‐up studies; hemostasis; thromboelastography

Year:  2021        PMID: 34595368      PMCID: PMC8463660          DOI: 10.1002/rth2.12579

Source DB:  PubMed          Journal:  Res Pract Thromb Haemost        ISSN: 2475-0379


Persistence of hemostatic abnormalities remains unclear in patients with coronavirus disease 2019. Changes in hemostasis and fibrinolysis were analyzed at discharge and 6‐month follow‐up. Viscoelastic parameters of clot formation normalized over the 6‐month follow‐up. Nine (41%) patients still had elevated D‐dimer and/or fibrinogen at follow‐up.

INTRODUCTION

The coronavirus disease 2019 (COVID‐19)–associated prothrombotic phenotype is characterized by elevated von Willebrand factor, D‐dimer, fibrinogen, and changes in global assays such as rotational thromboelastometry (ROTEM) and thromboelastography., , , , ROTEM is a whole blood viscoelastic assay that monitors the dynamic properties of clot formation. The addition of tissue‐type plasminogen activator (tPA) to standard ROTEM reagents creates a novel assay (tPA ROTEM) able to both identify clot buildup and breakdown under fibrinolytic stimulus. The tPA ROTEM assay might better reflect the coagulopathy in vivo compared to routine hemostasis laboratory assays. Indeed, previous studies in patients with COVID‐19 demonstrated persisting hypercoagulability and impaired fibrinolysis during intensive care unit (ICU) admission, as measured with (tPA) ROTEM., Abnormal hemostatic viscoelastic parameters often persist upon ICU discharge, and abnormalities in D‐dimer concentrations have been observed several months after COVID‐19 infection. The presence of a so‐called chronic COVID‐19 syndrome may potentially be driven by microvascular thrombosis, limiting recovery., Although the prothrombotic phenotype during hospital admission has been extensively described, potential long‐term (micro)thrombotic morbidity following ICU discharge is currently unknown. Both routine hemostasis assays and the point‐of‐care tPA ROTEM quickly evaluate overall hemostasis and fibrinolysis, suitable for clinical decision making during a follow‐up appointment. We aimed to evaluate the changes over 6 months in routine hemostasis laboratory parameters and tPA ROTEM after COVID‐19 ICU discharge.

MATERIAL AND METHODS

Cohort description

During the first European pandemic wave between March and May 2020, the Maastricht Intensive Care COVID (MaastrICCht) cohort included 94 patients., , Of the 59 patients who survived COVID‐19 ICU admission, 42 patients (71.2%) were available for the cardiology outpatient follow‐up 6 months after ICU discharge. The missing patients died after ICU discharge (n = 7), attended follow‐up elsewhere (n = 7), declined to participate (n = 2), or emigrated to another country (n = 1). Of the 42 patients seen at 6‐month follow‐up, 22 (52%) had both a tPA ROTEM measurement during their ICU admission and at follow‐up and could be included in the current analysis. To address possible selection bias, patient characteristics and routine hemostatis laboratory parameters at ICU admission (prothrombin time [PT], activated partial thromboplastin time [aPTT], fibrinogen, and D‐dimer) were compared between our population (n=22) and the excluded patients with 6‐month follow‐up due to missing tPA ROTEM (n=20) and also all excluded ICU survivors (n = 37). The local institutional review board (Medische Ethische Toetsingscomissie) of the Maastricht University Medical Centre+ approved the study (2020‐1565/300523 and 2020‐2287); all patients or representatives gave consent.

Routine hemostasis laboratory panel

PT (Dade Innovin; Siemens, Marburg, Germany), aPTT (Dade Actin FSL; Siemens), fibrinogen concentration (Clauss method, Dade Thrombin Reagent; Siemens) and D‐dimer (Innovance; Siemens) were all measured on a Sysmex CS2500i (Sysmex Corporation, Kobe, Japan) in 3.2% citrated blood. D‐dimer cutoff was age dependent in patients aged >50 years and determined by the following formula: D‐dimer cutoff = 500 + (Age − 50)*10.,

tPA ROTEM

The tPA ROTEM is a whole blood viscoelastic assay, where changes in viscoelastic properties during clot formation and fibrinolysis are measured. The tPA ROTEM assay was previously described and validated by Kuiper et al. In short, simultaneous addition of tissue factor (35 pM) and tPA (125 ng/mL) to the test cup results in coagulation succeeded by fibrinolysis of the clot. The maximum duration of the assay is 2 hours. The following tPA ROTEM parameters were analyzed: clotting time (CT; in seconds), maximum clot firmness (MCF; in mm), lysis onset time (LOT; time in seconds from CT until a 15% drop in MCF), and lysis time (LT; time in seconds from CT until a 90% drop in MCF). Prolonged LOT and LT suggest a hypofibrinolytic phenotype, while shortened LOT and LT illustrate hyperfibrinolysis. If 15% and/or 90% clot breakdown were not reached, LOT and LT were capped at 2 hours (7200 seconds).

Clinical characteristics

During ICU admission, patients had been screened for venous thromboembolism (VTE) upon clinical suspicion. Computed tomography pulmonary angiogram (CTPA) was performed to diagnose pulmonary embolism (PE) and deep vein thrombosis (DVT) was confirmed by compression ultrasonography. Patients with confirmed VTE during hospital admission were treated with anticoagulants for at least 3 months. After 3 months, specialist clinicians reviewed and (dis)continued the anticoagulant treatment based on laboratory and clinical characteristics. Patients without VTE did not receive standard thromboprophylaxis after hospital discharge, unless antithrombotic treatment was indicated by comorbidities (eg, atrial fibrillation).

Statistical analysis

Data analysis was performed using SPSS for Windows, version 25.0 (IBM, Armonk, NY, USA). Continuous data are presented as median (interquartile range [IQR]) and categorical data as counts (relative percentage). Routine hemostasis laboratory and tPA ROTEM measurements between time points were assessed by the dependent Wilcoxon signed‐rank test (continuous data) and McNemar test (categorical data). Subgroup comparison was performed by independent Mann‐Whitney U test and chi‐square test, respectively. P < .05 was considered statistically significant.

RESULTS AND DISCUSSION

In total, 22 patients with COVID‐19 had a tPA ROTEM measurement during ICU admission and at 6‐month follow‐up. A total of 17 patients were men (77.3%), the median [IQR] age was 61 [57‐69] years, and most were overweight (Table 1). The median length of ICU stay was 34 [22‐42] days, and the 6‐month follow‐up was performed 188 [171‐192] days after ICU discharge. We observed no significant differences between the 22 patients studied versus the other survivors in the MaastrICCht cohort, except for a longer length of stay in our analyzed ICU population.
TABLE 1

Patient characteristics

Follow‐up cohort (n = 22)
Age, y61.0 (56.5‐68.8)
Sex, male17 (77.3)
BMI, kg/m2 27.8 (26.2‐30.4)
Origin of admission
Emergency department7 (31.8)
Hospital ward11 (50.0)
Transfer from other ICU4 (18.2)
Length of stay ICU, d34 (21‐42)
ECMO during admission3 (13.6)
RRT during admission2 (9.1)
Antithrombotic treatment before admission
Antiplatelet agents3 (14)
Coumarin0 (0.0)
DOAC1 (4.5)
Disease severity score at ICU admission
APACHE II15.5 (13.0‐18.0)
SAPS II37.5 (29.0‐43.0)

Abbreviations: APACHE, Acute Physiology and Chronic Health Evaluation; BMI, body mass index; DOAC, direct oral anticoagulant; ECMO, extracorporeal membrane oxygenation; ICU, intensive care unit; RRT, renal replacement therapy; SAPS, Simplified Acute Physiology Score.

Data are presented as median (interquartile range) for continuous data and n (rel. %) for categorical data.

Patient characteristics Abbreviations: APACHE, Acute Physiology and Chronic Health Evaluation; BMI, body mass index; DOAC, direct oral anticoagulant; ECMO, extracorporeal membrane oxygenation; ICU, intensive care unit; RRT, renal replacement therapy; SAPS, Simplified Acute Physiology Score. Data are presented as median (interquartile range) for continuous data and n (rel. %) for categorical data. Routine hemostasis laboratory and tPA ROTEM measurements (last available tPA ROTEM measurement on ICU) are displayed in Table 2, confirming the presence of extensive hemostatic abnormalities during ICU admission. Both fibrinogen and D‐dimer concentrations were increased upon ICU discharge. TPA ROTEM parameters showed hypercoagulability (increased MCF) and hypofibrinolysis (prolonged LOT and LT). Overall, 6‐month follow‐up results for fibrinogen; D‐dimer; and tPA ROTEM MCF, LOT, and LT showed a significant reduction toward normal values (Table 2; Figure 1; P ≤ .001). Still, eight patients had elevated fibrinogen concentrations (38%), while four patients (18%) had elevated D‐dimer concentrations. Patients presented with isolated elevated fibrinogen (n = 5), D‐dimer (n = 1), or a combination of both (n = 3) at 6‐month follow‐up.
TABLE 2

Routine hemostasis laboratory and tPA ROTEM measurement in 22 patients before ICU discharge and at 6‐month follow‐up

Reference rangeICUa 6‐month follow‐upP value
Days after ICU admission25 (18 to 40)213 (206 to 230)
Days after ICU discharge−1 (−4 to 0)188 (171 to 192)
Laboratory parameters
PT, s9.9–12.411.5 (11.0 to 11.8)10.9 (10.4 to 11.2)c .01
aPTT, s23–3228 (27 to 33)29 (27 to 31)c 0.37
Fibrinogen, g/L1.7–4.06.0 (4.5 to 6.7)b 3.7 (3.3 to 4.5)c ≤0.001
Fibrinogen above reference range 17 (85.0)8 (38.1).02
D‐dimer, ng/mLAge‐dependentd 2270 (1538 to 4337)321 (218 to 559)c ≤.001
D‐dimer above reference range 22 (100.0)4 (18.2)≤.001
tPA ROTEM
Clotting time, s33–7577 (68 to 89)80 (67 to 97).35
Maximum clot firmness, mm47–6875 (68 to 78)59 (49 to 63)≤.001
Lysis onset time, s1560–29403690 (2963 to 4418)1786 (1465 to 2650)≤.001
Lysis time, s2100–46207200 (6144 to 7200)3138 (2591 to 4389)≤.001
Antithrombotic medication
Heparin22 (100)0 (0.0)

Nadroparin

18 (82)

UFH

2 (9.1)

UFH and nadroparin

1 (4.5)

Fondaparinux

1 (4.5)
Coumarin0 (0.0)1 (4.5)
DOAC0 (0.0)6 (27)

Apixaban 2dd 5 mg

5 (83)

Dabigatran 2dd 150 mg

1 (17)
Antiplatelet agents3 (14)3 (14)

Abbreviations: aPTT, activated partial thromboplastin time; DOAC, direct oral anticoagulation; ICU, intensive care unit; PT, prothrombin time; ROTEM, rotational thromboelastometry; tPA, tissue‐type plasminogen activator; UFH, unfractionated heparin.

Data are presented as median (interquartile range) for continuous data and n (rel. %) for categorical data.

aICU measurement: last tPA ROTEM measurement on ICU.

bn = 2 missing.

cn = 1 missing.

dD‐dimer cutoff was age dependent in patients aged >50 years and determined by the following formula: D‐dimer cutoff =500 + (Age‐50)*10.

FIGURE 1

tPA ROTEM, fibrinogen and D‐dimer measurements at ICU admission and 6‐month follow‐up, stratified for VTE ( VTE+, ● VTE−). Grey areas illustrate reference ranges; tPA ROTEM reference ranges were previously determined by Kuiper et al. ICU, intensive care unit; tPA ROTEM, tissue‐type plasminogen activator; VTE, venous thromboembolism

Routine hemostasis laboratory and tPA ROTEM measurement in 22 patients before ICU discharge and at 6‐month follow‐up Nadroparin UFH UFH and nadroparin Fondaparinux Apixaban 2dd 5 mg Dabigatran 2dd 150 mg Abbreviations: aPTT, activated partial thromboplastin time; DOAC, direct oral anticoagulation; ICU, intensive care unit; PT, prothrombin time; ROTEM, rotational thromboelastometry; tPA, tissue‐type plasminogen activator; UFH, unfractionated heparin. Data are presented as median (interquartile range) for continuous data and n (rel. %) for categorical data. aICU measurement: last tPA ROTEM measurement on ICU. bn = 2 missing. cn = 1 missing. dD‐dimer cutoff was age dependent in patients aged >50 years and determined by the following formula: D‐dimer cutoff =500 + (Age‐50)*10. tPA ROTEM, fibrinogen and D‐dimer measurements at ICU admission and 6‐month follow‐up, stratified for VTE ( VTE+, ● VTE−). Grey areas illustrate reference ranges; tPA ROTEM reference ranges were previously determined by Kuiper et al. ICU, intensive care unit; tPA ROTEM, tissue‐type plasminogen activator; VTE, venous thromboembolism Fourteen patients (64%) developed VTE during ICU stay: 13 patients had CTPA‐confirmed PE, and one patient had compression ultrasonography–confirmed DVT. In five patients with VTE, anticoagulants were continued for up to 6 months. Two patients without VTE received anticoagulants for atrial fibrillation, which was diagnosed before or developed during ICU admission. Laboratory parameters at 6‐month follow‐up normalized irrespective of VTE during ICU stay (Table 3, Figure 1). Although not statistically significantly different between patients with and without VTE (3.4 [3.2‐4.2] vs 4.3 [3.7‐4.7]; P = .05), fibrinogen concentration at 6‐month follow‐up was higher in the non‐VTE group. This observation is consistent with the previous experience within the MaastrICCht cohort that low, rather than high, fibrinogen was associated with VTE development in ICU patients.
TABLE 3

Routine hemostasis laboratory and tPA ROTEM measurement at six‐month follow‐up, by VTE status

Reference Range

6‐month follow‐up

n=22

VTE+

n=14

VTE−

n=8

P value
Days after ICU admission213 (206‐230)211 (209‐228)221 (199‐236)
Days after ICU discharge188 (171‐192)188 (170‐190)190 (181‐199)
Laboratory
PT, s9.9‐12.410.9 (10.4‐11.2)a 10.9 (10.4‐11.2)a 10.8 (10.0‐11.3).80
aPTT, s23‐3229 (27‐31)a 28 (26‐30)a 30 (27‐38).16
Fibrinogen, g/L1.7‐4.03.7 (3.3‐4.5)a 3.4 (3.2‐4.2)a 4.3 (3.7‐4.7).05
Fibrinogen above reference range 8 (38.1)3 (23.1)5 (62.5).071
D‐dimer, ng/mLAge‐dependentb 321 (218‐559)a 287 (211‐559)a 390 (323‐1113).10
D‐dimer above reference range 5 (23.8)2 (14.3)2 (25.0).60
tPA ROTEM
Clotting time, s33‐7580 (67‐97)82 (68‐100)73 (58‐94).24
Maximum clot firmness, mm47‐6859 (49‐63)58 (49‐61)63 (59‐68).05
Lysis onset time, s1560‐29401786 (1465‐2650)1577 (1410‐2408)2054 (1640‐2959).24
Lysis time, s2100‐46203138 (2591‐4389)3050 (2409‐4217)3584 (3114‐5388).19
Medication
Heparin0 (0.0)0 (0.0)0 (0.0)
Coumarin1 (4.5)0 (0.0)1 (12.5)
DOAC6 (27.3)5 (35.7)1 (12.5)

Apixaban 2dd 5 mg

5 (83.3)5 (100.0)0 (0.0)

Dabigatran 2dd 150 mg

1 (16.7)0 (0.0)1 (100.0)
Antiplatelet agents3 (13.6)1 (7.1)2 (25.0)

Abbreviations: aPTT, activated partial thromboplastin time; DOAC, direct oral anticoagulation; ICU, intensive care unit; PT, prothrombin time; ROTEM, rotational thromboelastometry; tPA, tissue plasminogen activator; VTE, venous thromboembolism.

Data are presented as median (interquartile range) for continuous data and n (rel. %) for categorical data.

an = 1 missing.

bD‐dimer cutoff was age dependent in patients aged >50 years and determined by the following formula: D‐dimer cutoff = 500 + (Age − 50)*10.

Routine hemostasis laboratory and tPA ROTEM measurement at six‐month follow‐up, by VTE status 6‐month follow‐up n=22 VTE+ n=14 VTE− n=8 Apixaban 2dd 5 mg Dabigatran 2dd 150 mg Abbreviations: aPTT, activated partial thromboplastin time; DOAC, direct oral anticoagulation; ICU, intensive care unit; PT, prothrombin time; ROTEM, rotational thromboelastometry; tPA, tissue plasminogen activator; VTE, venous thromboembolism. Data are presented as median (interquartile range) for continuous data and n (rel. %) for categorical data. an = 1 missing. bD‐dimer cutoff was age dependent in patients aged >50 years and determined by the following formula: D‐dimer cutoff = 500 + (Age − 50)*10. Most tPA ROTEM parameters were within normal values at 6‐month follow‐up. However, median CT was prolonged both before ICU discharge (77 seconds [68‐89]) and at 6‐month follow‐up (80 seconds [67‐97]), which may reflect the effect of anticoagulant treatment. Patients received standard low‐molecular‐weight heparin (LMWH) during ICU admission in line with national protocols. Indications for unfractioned heparin (UFH) administration were extracorporeal membrane oxygenation and renal replacement therapy. At 6‐month follow‐up, 32% of patients received anticoagulants, predominantly the direct oral anticoagulant (DOAC) apixaban (Table 2). In vitro spiking studies demonstrated that LMWH, UFH, and DOACs prolong ROTEM CT., Unpublished data of patients using rivaroxaban and dabigatran show a concentration‐dependent effect of these DOACs on tPA ROTEM CT, whereas tPA MCF, LOT, and LT were unaffected by DOAC concentration (data not shown). Similarly, heparins had no clear effect on tPA ROTEM parameters besides CT prolongation. Taken together, the observed prolongation of CT during ICU admission and at 6‐month follow‐up can likely be attributed to the use of, respectively, heparins and DOACs. Indeed, patients treated with apixaban (n = 5) had significantly prolonged CT compared to patients not taking DOACs (n = 16; 99 seconds [78‐141] vs 70 seconds [65‐84] respectively; P = .03). We evaluated the changes over 6 months in routine hemostasis laboratory parameters and tPA ROTEM after COVID‐19 ICU discharge and observed that, with the exception of tPA CT, values generally normalized over time. However, nine (41%) patients still presented with abnormal D‐dimer or fibrinogen at 6‐month follow‐up. The long‐lasting physical and psychological sequelae observed in patients with COVID‐19 after hospital discharge are referred to as “long COVID syndrome.” Long‐term health consequences of COVID‐19 include fatigue, muscle weakness, reduced respiratory function, anxiety, and depression., , The underlying pathophysiology, involved organ systems, and optimal follow‐up care remain largely unknown. Hospitalized patients with COVID‐19 are at increased risk for thrombotic complications; whether a prothrombotic tendency persists beyond discharge, putting recovering patients with COVID‐19 at continued risk for (micro)thrombi or VTE development remains uncertain. Several reports evaluated the thrombotic risk after COVID‐19 hospital discharge and found that the occurrence of VTE was low and similar to other acute illnesses., , , , Two other studies assessed hemostasis laboratory assays after COVID‐19 hospital discharge. Von Meijenfeldt et al evaluated coagulation, fibrinolysis, and thrombin‐generation markers in 52 patients with COVID‐19 at admission and 4 months after hospital discharge. Mostly ward patients were included, in contrast to our population with only mechanically ventilated ICU patients. Patients with COVID‐19 had a sustained prothrombotic phenotype as evidenced by enhanced thrombin generation and decreased plasma fibrinolysis when compared to healthy volunteers. Though laboratory parameters remained elevated in recovering patients with COVID‐19 when compared to healthy controls, the prothrombotic phenotype was diminished at 4 months after discharge compared to hospital admission. Our results of elevated D‐dimer and fibrinogen concentrations at follow‐up are in line with the described prothrombotic phenotype 4 months after discharge. However, our tPA ROTEM does not illustrate a similar hypercoagulable and hypofibrinolytic phenotype, as MCF, LOT, and LT had generally reached normal values. A hypofibrinolytic phenotype at follow‐up as detected by Meijenfeldt et al, which we did not observe from our results, might suggest further normalization of fibrinolysis after 4 months. Alternatively, the discrepancy could arise from the different assays: Meijenfeldt et al evaluated fibrinolysis in platelet‐poor plasma, whereas we assessed whole blood tPA ROTEM. Townsend et al recently demonstrated in a cohort of 150 recovering patients with COVID‐19, both hospitalized and outpatients, that 25.3% had elevated D‐dimer concentrations 4 months after COVID‐19 infection. In the ICU subgroup (n = 16), six and five patients had elevated D‐dimer and fibrinogen concentrations at follow‐up, respectively. Both the D‐dimer and fibrinogen cutoffs differed, limiting comparison with our observations. Of note, our and other COVID‐19 follow‐up research mainly provides preliminary information concerning abnormalities in the hemostatic system. Since no baseline sample, before COVID‐19 infection, is available, we cannot rule out that D‐dimer and fibrinogen abnormalities that we associate with convalescent COVID‐19 reflect a previously existing chronic low‐grade inflammation that puts patients at higher risk for severe COVID‐19 disease. Our study was embedded in a well‐defined cohort with systematic follow‐up protocols. Limitations to our study are the relatively small number of included patients and the single‐center approach limiting generalizability, single postdischarge measurement, and lack of a non–COVID‐19 control group. Additionally, patients with a short length of stay who were already discharged from the ICU before the start of ROTEM measurements could not be included in the current analysis. Nevertheless, the chance of selection bias is regarded as low, although not all survivors were included, as we observed no significant differences between the 22 patients studied versus the other patients at 6‐month follow‐up (n = 20) or all other patients discharged from ICU (n = 37), except for a longer length of stay in our ICU population (34 days [22‐42] vs 12 days [6‐21] and 13 days [8‐22], respectively; P < .001). At the least, our observations represent the most severe spectrum of COVID‐19 disease. Thereby, the occurrence of hemostatic disturbances, elevated D‐dimer and fibrinogen concentrations, might be overestimated compared to the general COVID‐19 ICU population. Nevertheless, our observations warrant further exploration to identify the pathophysiology provoking long‐term elevated D‐dimer and fibrinogen concentrations. Of interest are patient characteristics and confounders other than VTE possibly predisposing abnormal hemostatic markers at follow‐up that we could not identify, such as diabetes, chronic kidney disease, and smoking. Additionally, other fibrinolytic markers may provide a more elaborate overview of hemostasis in addition to the tPA ROTEM. Overall, studies assessing long‐term hemostatic abnormalities in patients with comparable pathologies are scarce. Yende et al evaluated hemostasis biomarkers, among others, in a septic population up to 1 year after admission and demonstrated increased D‐dimer levels in 31% of patients at 6‐month follow‐up. These results are somewhat comparable to our observations and may suggest a more universal pathophysiology underlying the elevations in D‐dimer and fibrinogen not specific to COVID‐19. Future follow‐up studies including both critically ill patients with COVID‐19 and similar pathologies alike (severe viral or bacterial infections) may confirm this hypothesis. We systematically evaluated routine hemostasis laboratory parameters and tPA ROTEM during ICU admission and 6 months after ICU discharge in critically ill patients with COVID‐19. There was significant reduction toward normal values in almost all tPA ROTEM parameters when compared to ICU discharge and no clear hypercoagulable or hypofibrinolytic phenotype was detected at 6‐month follow‐up. However, our results may suggest long‐term involvement of hemostasis in some patients, evidenced by persistingly high D‐dimer and fibrinogen concentrations in a fifth and third of all patients, respectively. Further elucidation of the biological mechanisms associated with and clinical relevance of persisting D‐dimer and fibrinogen elevation is paramount for our understanding and adequate COVID‐19 follow‐up care.

RELATIONSHIP DISCLOSURES

CG‐D reports research support from Bayer, Abbot, Amgen, and Sanofi. HtC has received grants from Bayer and Pfizer, is a consultant for Alveron, and a shareholder of Coagulation Profile. RO has received research support and honoraria from Bayer, Pfizer/BMS, Leo Pharma, Portola, and Sanofi. YH reports that ROTEM reagents were previously provided for research and development. None of this was related to the submitted work. All other authors report no conflict of interest.

AUTHOR CONTRIBUTIONS

AH, DCWB, RHO, HtC and YMCH contributed to the concept and design of the study. AH was the main author of the manuscript, and DCW B performed statistical analysis. BCTvB and ICCvdH developed the design of the MaastrICCht cohort. CG‐D and SvS coordinated the COVID‐19 follow‐up visits. SvS, JEM Sels, GJAJMK, ICCvdH, HtC, BCTvB, RHO, and YMCH critically reviewed the intellectual content of the manuscript. The manuscript was read and approved for submission to Research and Practice in Thrombosis and Haemostasis by all authors.
  27 in total

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2.  Serial EXTEM, FIBTEM, and tPA Rotational Thromboelastometry Observations in the Maastricht Intensive Care COVID Cohort-Persistence of Hypercoagulability and Hypofibrinolysis Despite Anticoagulation.

Authors:  Anne-Marije Hulshof; Renée A G Brüggemann; Mark M G Mulder; Tom W van de Berg; Jan-Willem E M Sels; Renske H Olie; Bart Spaetgens; Alexander S Streng; Paul Verhezen; Iwan C C van der Horst; Hugo Ten Cate; Henri M H Spronk; Bas C T van Bussel; Yvonne M C Henskens
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3.  6-month consequences of COVID-19 in patients discharged from hospital: a cohort study.

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4.  Three-month follow-up of pulmonary embolism in patients with COVID-19.

Authors:  Martin B Whyte; Rosemary Barker; Philip A Kelly; Elisa Gonzalez; Julia Czuprynska; Raj K Patel; Catherine Rea; Felicity Perrin; Michael Waller; Caroline Jolley; Roopen Arya; Lara N Roberts
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5.  Prolonged elevation of D-dimer levels in convalescent COVID-19 patients is independent of the acute phase response.

Authors:  Liam Townsend; Helen Fogarty; Adam Dyer; Ignacio Martin-Loeches; Ciaran Bannan; Parthiban Nadarajan; Colm Bergin; Cliona O'Farrelly; Niall Conlon; Nollaig M Bourke; Soracha E Ward; Mary Byrne; Kevin Ryan; Niamh O'Connell; Jamie M O'Sullivan; Cliona Ni Cheallaigh; James S O'Donnell
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Authors:  Angelo Carfì; Roberto Bernabei; Francesco Landi
Journal:  JAMA       Date:  2020-08-11       Impact factor: 56.272

7.  Decreased serial scores of severe organ failure assessments are associated with survival in mechanically ventilated patients; the prospective Maastricht Intensive Care COVID cohort.

Authors:  Julia L M Bels; Sander M J van Kuijk; Chahinda Ghossein-Doha; Fabian H Tijssen; Rob J J van Gassel; Jeanette Tas; MaastrICCht Collaborators; Ronny M Schnabel; Marcel J H Aries; Marcel C G van de Poll; Dennis C J J Bergmans; Steven J R Meex; Walther N K A van Mook; Iwan C C van der Horst; Bas C T van Bussel
Journal:  J Crit Care       Date:  2020-11-17       Impact factor: 3.425

8.  Incidence of thrombotic outcomes for patients hospitalized and discharged after COVID-19 infection.

Authors:  Alex Bourguignon; Camille Beaulieu; Wiam Belkaid; Antoine Desilets; Normand Blais
Journal:  Thromb Res       Date:  2020-10-15       Impact factor: 3.944

9.  The prevalence of pulmonary embolism in patients with COVID-19 and respiratory decline: A three-setting comparison.

Authors:  Renée A G Brüggemann; Bart Spaetgens; Hester A Gietema; Steffie H A Brouns; Patricia M Stassen; Fabienne J Magdelijns; Roger J Rennenberg; Ronald M A Henry; Mark M G Mulder; Bas C T van Bussel; Ronny M Schnabel; Iwan C C van der Horst; Joachim E Wildberger; Coen D A Stehouwer; Hugo Ten Cate
Journal:  Thromb Res       Date:  2020-10-15       Impact factor: 3.944

10.  Postdischarge venous thromboembolism following hospital admission with COVID-19.

Authors:  Lara N Roberts; Martin B Whyte; Loizos Georgiou; Gerard Giron; Julia Czuprynska; Catherine Rea; Bipin Vadher; Raj K Patel; Emma Gee; Roopen Arya
Journal:  Blood       Date:  2020-09-10       Impact factor: 25.476

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  6 in total

Review 1.  Immuno-Thrombotic Complications of COVID-19: Implications for Timing of Surgery and Anticoagulation.

Authors:  Connor M Bunch; Ernest E Moore; Hunter B Moore; Matthew D Neal; Anthony V Thomas; Nuha Zackariya; Jonathan Zhao; Sufyan Zackariya; Toby J Brenner; Margaret Berquist; Hallie Buckner; Grant Wiarda; Daniel Fulkerson; Wei Huff; Hau C Kwaan; Genevieve Lankowicz; Gert J Laubscher; Petrus J Lourens; Etheresia Pretorius; Maritha J Kotze; Muhammad S Moolla; Sithembiso Sithole; Tongai G Maponga; Douglas B Kell; Mark D Fox; Laura Gillespie; Rashid Z Khan; Christiaan N Mamczak; Robert March; Rachel Macias; Brian S Bull; Mark M Walsh
Journal:  Front Surg       Date:  2022-05-04

Review 2.  Current and novel biomarkers of thrombotic risk in COVID-19: a Consensus Statement from the International COVID-19 Thrombosis Biomarkers Colloquium.

Authors:  Diana A Gorog; Robert F Storey; Paul A Gurbel; Udaya S Tantry; Jeffrey S Berger; Mark Y Chan; Daniel Duerschmied; Susan S Smyth; William A E Parker; Ramzi A Ajjan; Gemma Vilahur; Lina Badimon; Jurrien M Ten Berg; Hugo Ten Cate; Flora Peyvandi; Taia T Wang; Richard C Becker
Journal:  Nat Rev Cardiol       Date:  2022-01-13       Impact factor: 49.421

Review 3.  Viscoelastic Hemostatic Assays: A Primer on Legacy and New Generation Devices.

Authors:  Oksana Volod; Connor M Bunch; Nuha Zackariya; Ernest E Moore; Hunter B Moore; Hau C Kwaan; Matthew D Neal; Mahmoud D Al-Fadhl; Shivani S Patel; Grant Wiarda; Hamid D Al-Fadhl; Max L McCoy; Anthony V Thomas; Scott G Thomas; Laura Gillespie; Rashid Z Khan; Mahmud Zamlut; Peter Kamphues; Dietmar Fries; Mark M Walsh
Journal:  J Clin Med       Date:  2022-02-07       Impact factor: 4.241

4.  Persistent endotheliopathy in the pathogenesis of long COVID syndrome - Reply to comment from von Meijenfeldt et al.

Authors:  Helen Fogarty; Ellie Karampini; Andrew S O'Donnell; Soracha E Ward; Jamie M O'Sullivan; James S O'Donnell
Journal:  J Thromb Haemost       Date:  2021-11-22       Impact factor: 16.036

5.  Persistent endotheliopathy in the pathogenesis of long COVID syndrome: Comment from von Meijenfeldt et al.

Authors:  Fien A von Meijenfeldt; Sebastian Havervall; Jelle Adelmeijer; Charlotte Thalin; Ton Lisman
Journal:  J Thromb Haemost       Date:  2021-11-22       Impact factor: 16.036

Review 6.  COVID-19 Coagulopathy: From Pathogenesis to Treatment.

Authors:  Teba Alnima; Mark M G Mulder; Bas C T van Bussel; Hugo Ten Cate
Journal:  Acta Haematol       Date:  2022-02-08       Impact factor: 3.068

  6 in total

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