Literature DB >> 32997333

Immature platelets in patients hospitalized with Covid-19.

Amir Cohen1, Emanuel Harari1, Michal Cipok2, Avishag Laish-Farkash1, Gabriel Bryk2, Ella Yahud1, Yaron Sela3, Nili Karp Lador4, Tal Mann4, Ami Mayo4, Eli I Lev5.   

Abstract

Coronavirus disease 2019 (Covid-19) is associated with high incidence of venous and arterial thromboembolic events. Currently, there are no markers to guide antithrombotic therapy in Covid-19. Immature platelets represent a population of hyper-reactive platelets associated with arterial events. This prospective study compared consecutive Covid-19 patients (n = 47, median age = 56 years) to patients with acute myocardial infarction (AMI, n = 100, median age = 59 years) and a group of stable patients with cardiovascular risk factors (n = 64, median age = 68 years). Immature platelet fraction (IPF) and immature platelet count (IPC) were determined by the Sysmex XN-3000 auto-analyzer on admission and at subsequent time-points. IPF% on admission was higher in Covid-19 than the stable group and similar to the AMI group (4.8% [IQR 3.4-6.9], 3.5% [2.7-5.1], 4.55% [3.0-6.75], respectively, p = 0.0053). IPC on admission was also higher in Covid-19 than the stable group and similar to the AMI group (10.8 × 109/L [8.3-18.1], 7.35 × 109/L [5.3-10.5], 10.7 × 109/L [7.7-16.8], respectively, P < 0.0001). The maximal IPF% among the Covid-19 group was higher than the stable group and similar to the AMI group. The maximal IPC in Covid-19 was higher than the maximal IPC in both the stable and AMI groups (COVID-19: 14.4 × 109/L [9.4-20.9], AMI: 10.9 × 109/L [7.6-15.2], P = 0.0035, Stable: 7.55 × 109/L [5.55-10.5], P < 0.0001). Patients with Covid-19 have increased immature platelets indices compared to stable patients with cardiovascular risk factors, and as the disease progresses also compared to AMI patients. The enhanced platelet turnover and reactivity may have a role in the development of thrombotic events in Covid-19 patients.

Entities:  

Keywords:  Coronavirus disease 2019; Immature platelets; Platelet aggregation inhibitors; Reticulated platelets; SARS-CoV-2 infection; Thrombosis

Mesh:

Year:  2020        PMID: 32997333      PMCID: PMC7526077          DOI: 10.1007/s11239-020-02290-6

Source DB:  PubMed          Journal:  J Thromb Thrombolysis        ISSN: 0929-5305            Impact factor:   2.300


Background

Coronavirus disease 2019 (Covid-19) is a pandemic with global effect on morbidity and mortality. The clinical characteristics of the disease have been reported in several case series, and can range from mild respiratory infection to multi organ dysfunction syndrome and fatal respiratory failure [1-4]. Severe Covid-19 is associated with a high incidence of venous thromboembolic events (VTE) [5]. In a cohort of 3 hospitals from the Netherlands, describing 183 critically-ill Covid-19 patients, receiving prophylactic anticoagulation, the cumulative incidence of both venous and arterial thrombotic complications (acute pulmonary embolism, deep-vein thrombosis, ischemic stroke, myocardial infarction or systemic arterial embolism), was 31%, mainly consisting of VTE [6]. Recently, several published case series reported arterial thrombotic events consisting of acute ST-elevation myocardial infarction and acute stroke among patients with Covid-19 [7-9]. Covid-19 is accompanied by several hematologic abnormalities, among them thrombocytopenia, prolonged PT, elevated D-dimmer and fibrinogen degradation products, as well as microangiopathy [10, 11]. Some of the hematological abnormalities, such as increased D-dimer levels, were shown to be associated with short-term mortality [12, 13]. The association of thrombocytopenia on one hand and increased thrombotic risk, including arterial thrombotic events, on the other, raises the possibility of platelet hyper-reactivity, as a contributing factor in some patients with Covid-19. Identifying Covid-19 patients with increased risk for thrombotic events may have therapeutic implications for the recommended antithrombotic regimen. Reticulated platelets (RPs) are young immature platelets recently released to the circulation from the bone marrow by megakaryocytes. They have a high dense granules content and residual mRNA. They are believed to be more pro-thrombotic and hyper-reactive than mature platelets [14-16]. They are known to be associated with thrombotic propensity and have a greater predilection for thrombus formation. Increased levels of RPs have been associated with high platelet turnover, and with arterial thrombotic events including acute coronary syndrome and acute stroke [14-16]. An automated assay—immature platelet fraction (IPF), correlates directly with reticulated platelets level, evaluated by the more complex method of flow cytometry [17]. In patients with coronary artery disease (CAD) and acute myocardial infarction (AMI), IPF is an independent predictor for major adverse cardiovascular events, including cardiovascular death [18, 19]. Furthermore, IPF and IPF-related indices are strong independent predictors of response to antiplatelet treatment among patients with CAD [20]. The aim of the current study was to assess immature platelets by measuring IPF levels and other IPF-related indices in patients with Covid-19, compared to patients with acute myocardial infarction (AMI) and stable patients with cardiovascular risk factors.

Methods

Study design and participants

This was a prospective cohort study which compared consecutive patients with Covid-19 (study group) to 2 control groups from ongoing studies. The study group included consecutive patients admitted to the Assuta Ashdod Medical Center in Israel with confirmed novel corona virus (SARS-CoV-2) infection and Covid-19 from March 30, 2020 to April 28, 2020. There were no exclusion criteria for this group except for patient refusal to participate in the study. Diagnosis of Covid-19 was made by at least one positive real time RT-PCR assay with respiratory symptoms and radiological findings. Disease severity was defined according to the Modified Early Warning Score (MEWS) as well as degree of respiratory support [21]. Blood samples for the Covid-19 group were drawn on admission, 3 days afterwards and again, post one week of hospitalization. For patients with severe disease an additional blood test was drawn after the first week of hospitalization. The second group included patients, hospitalized at the Assuta Ashdod Medical Center, Israel, with acute myocardial infarction (AMI). They had either ST-segment elevation MI or non ST-segment elevation MI, and all patients underwent percutaneous coronary intervention (PCI). Blood samples for this group were drawn at 4 time points: (a) on admission to the hospital before receiving P2Y12 inhibitors; (b) 1 day post-PCI; (c) 3–4 days after PCI; (d) 30 days post-PCI. Exclusion criteria to this group were anemia (hemoglobin < 10 g/dL), thrombocytopenia (platelet < 100 × 109/L), and chronic hemato-oncologic disease. The third group included patients with cardiovascular risk factors (diabetes, hypertension, and/or hyperlipidemia,) and/or stable chronic CAD, followed at the Cardiology clinics at the Assuta Ashdod Medical Center, Israel. Blood samples for this group were drawn at two time points, one month apart. Exclusion criteria to this group were also anemia (hemoglobin < 10 g/dL), thrombocytopenia (platelet count < 100 × 109/L), and chronic hemato-oncologic disease. Patients in the second group (AMI cohort) and the third group (stable cohort) were recruited prospectively in the period of January 2019–March 2020. Blood samples were evaluated for immature platelet fraction (IPF) using an automated analyzer (Sysmex XN-3000, Sysmex America Inc. Mundelein, Illinois), which uses fluorescent dyes containing oxazine and ethylene glycol. This system discriminates between mature and immature platelets and reports the immature platelet fraction as percentage. IPC (immature platelet count)—was calculated by multiplying IPF and total platelet count, representing the absolute count of immature platelets (× 109/L). All groups' results for IPF and IPC, are presented as baseline value and maximal value (from all blood tests taken).

Statistical analysis

Categorical variables were described as frequency rates and percentages, and continuous variables were described using median, and interquartile range (IQR) values. Continuous variables were compared using independent group t tests when the data were normally distributed; otherwise, the Mann–Whitney test was used. All statistical analyses were performed using JMP software version 15.1.0—SAS Institute Inc, NC USA. For comparisons, a 2-sided α of less than 0.05 was considered statistically significant.

Results

The study included 47 consecutive patients with confirmed Covid-19 (the study group), 100 patients with AMI (AMI control group) and 64 patients with cardiovascular risk factors and/or stable CAD (Stable control group). The median age of the Covid-19 group was 56 years (IQR, 31–66; range, 17–90 years), and 28 (59.6%) were men. Cardiovascular comorbidities and risk factors were present in more than half of the cohort (63.8%), as described in Table 1. In the AMI control group, the median age was 59 years (IQR, 51–68), 82 (82%) of the patients were men and 27 (27%) had diabetes. Among the AMI group 54 patients (54%) were hospitalized with ST-segment elevation MI and 46 (46%) with non ST-segment elevation MI. In the stable control group, the median age was 68 years (58–73), 41 (64.1%) were men and 19 (29.7%) had diabetes (Table 1).
Table 1

Demographic, clinical and laboratory findings of patients on admission

Covid-19 cohortn = 47AMI cohortn = 100Stable cohortn = 64p valueCovid-19 vs. AMI, Covid-19 vs. stable
Demographics and clinical characteristics
 Age, median, (IQR), year56 (31–66)59 (51–68)68 (58–73)0.0844, 0.0003
 Sex, n(%)
  Male28 (59.6)82 (82.0)41 (64.1)0.003, 0.5
  Female19 (40.4)18 (18.0)23 (35.9)
 Weight (Kg)80.0 (64.0–87.5)83.0 (74.0–93.0)80.0 (68.0–93.0)0.1340, 0.4847
 Current smoker3 (6.3)43 (43)8 (12.5)0.0001, 0.29
Comorbidities
 Diabetes14 (29.8)27 (27)19 (29.7)0.7, 0.99
 Hypertension18 (38.3)50(50)45 (70.3)0.2, 0.0008
 Dyslipidemia13 (27.7)82 (82)38 (59.4)< 0.00001, 0.001
 Prior CAD8 (17)35 (35)13 (20.3)0.03, 0.7
 CHF1 (2.1)14 (14)10 (15.6)0.03, 0.02
 CKD5 (10.5)9 (9)5 (7.8)0.75, 0.6
 CABG1 (2.1)2(2)1 (1.6)0.96, 0.82
Laboratory findings (admission)
 Hemoglobin (mg/dl)13.1 (12.0–14.6)14.25 (13.0–15.4)13 (12.1–13.8)0.0032, 0.3776
 White blood cells × 109/L7.10 (5.30–8.95)10.4 (8.4–13.1)6.65 (5.53–8.45)< 0.0001, 0.7425
 Lymphocytes × 109/L1.25 (0.80–1.80)2.2 (1.50–2.88)1.70 (1.33–2.20)< 0.0001,0.0002
 Platelets × 109/L210 (192–316)230 (202–268)211 (172–235)0.5601, 0.0838
 Creatinine (mg/dL)0.80 (0.60–1.00)0.90 (0.80–1.10)0.90 (0.70–1.10)0.0112, 0.0600
 CRP (mg/L)18.5 (3.3–75.0)4.7 (2.0–10.5)2.30 (1.0–5.0)0.0007, < 0.0001
Medications, n (%)
 Aspirin16 (34)93 (93)15 (23.4)< 0.0001, 0.22
 P2Y12 inhibitors3 (6.4)99 (99)4 (6.3)< 0.0001, 0.52
 ACEI/ARB17 (36.2)78 (75)37 (57.8)< 0.0001, 0.025
 Beta blockers12 (25.5)80 (80)39 (60.9)< 0.0001, 0.0002
 Statins13 (27.6)99 (99)31 (48.4)< 0.0001, 0.028
 Anti-diabetes drugs14 (29.8)25 (25)10 (15.6)0.54, 0.07
Demographic, clinical and laboratory findings of patients on admission The IPF percentage on admission was higher in the Covid-19 group compared to the stable group (4.8% [IQR 3.4–6.9] in the COVID group vs 3.5% [IQR 2.7–5.1] in the stable cohort, P = 0.0053). Similar level of IPF% was observed among the Covid-19 and AMI groups (4.55% [IQR 3.0–6.75] in the AMI cohort). IPC on admission was also higher in the COVID-19 group than the stable group (10.8 × 109/L [IQR 8.3–18.1] in the COVID group versus 7.35 × 109/L [5.3–10.5] in the stable cohort, p < 0.0001), and similar among the COVID-19 and AMI groups (10.7 × 109/L [IQR 7.7–16.8] in the AMI cohort), as described in Table 2 and Fig. 1. As with the baseline values, the maximal IPF percentage among the Covid-19 group was similar to that of the AMI group, but higher than that of the stable group (Table 2, Fig. 1). However, the maximal IPC in the Covid-19 group was significantly higher, compared to both control groups (14.4 × 109/L [9.38–20.9] in the Covid-19 group vs 10.9 × 109/L [7.6–15.2] in the AMI group, p = 0.0035, and 7.55 × 109/L [5.55–10.5] in the stable group, P < 0.0001).
Table 2

Immature platelets indices in the Covid-19, AMI and stable Cohorts

Covid-19 cohortn = 47AMI cohortn = 100Stable cohortn = 64p valueCovid-19 vs. AMIp valueCovid-19 vs. Stable
IPF (%)
 Admission4.80 (3.40–6.90)4.55 (3.03–6.75)3.50 (2.70–5.08)0.32550.0053
 Maximal5.60 (3.70–6.90)5.20 (3.40–7.50)3.80 (2.80–5.38)0.69790.0004
IPC ×(109/L)
 Admission10.8 (8.30–18.1)10.7 (7.73–16.8)7.35 (5.3–10.50)0.4307< 0.0001
 Maximal14.4 (9.38–20.9)10.90 (7.6–15.2)7.55 (5.55–10.5)0.0035< 0.0001

p values were calculated using Mann–Whitney test

Fig. 1

Immature platelets indices in the Covid-19, AMI and stable groups. Medians and 95% CI

Immature platelets indices in the Covid-19, AMI and stable Cohorts p values were calculated using Mann–Whitney test Immature platelets indices in the Covid-19, AMI and stable groups. Medians and 95% CI Among the Covid-19 cohort, 44 patients had mild to moderate disease, and 3 had severe disease on admission. During their hospital course, 13 of the patients admitted with mild-moderate disease developed severe disease, including one patient who developed massive pulmonary emboli and one patient who died. Immature platelets indices (IPF and IPC) were not associated with the severity of Covid-19 as defined by the MEW Score, neither on admission, nor during the subsequent hospital course (Table 3; Fig. 2).
Table 3

Immature platelets indices in according to Covid-19 disease severity

Mild-Moderate Covid-19(n = 31)SEVERE Covid-19(n = 16)p value
Mew Score (max)1 (0–3)7 (7–8)
Platelets (admission) (× 109/L)205 (182–267)250 (190–454)0.16
IPF (%)
 Admission5.7 (3.8–7.9)4.2 (2.8–5.68)0.06
 Maximal5.6 (3.80–7.33)5.6 (3.1–6.6)0.45
IPC count (× 109/L)
 Admission12.0 (8.6–18.1)10.70 (7.83–18.1)0.64
 Maximal12.5 (9.3–18.4)14.3 (8.7–20.3)0.73

p values were calculated using Mann–Whitney test

Fig. 2

Immature platelets indices in according to Covid-19 maximal disease severity. Medians and 95% CI

Immature platelets indices in according to Covid-19 disease severity p values were calculated using Mann–Whitney test Immature platelets indices in according to Covid-19 maximal disease severity. Medians and 95% CI

Discussion

To our knowledge, the current study is the first to examine indices of platelet turnover and reactivity—IPF and IPC, in patients with Covid-19 respiratory disease. The main findings of the study are that patients with Covid-19 had higher baseline (admission) levels of IPF and IPC than stable patients with cardiovascular risk factors, and their maximal IPC levels were higher than the maximal IPC of both patients with AMI (known to have hyper-reactive platelets and enhanced platelet turnover), and patients with cardiovascular risk factors. These findings imply that immature platelets may have a role in the development of thrombotic events in Covid-19 patients, especially the recently reported acute arterial events, which are primarily platelet- mediated [7-9]. The main mechanism for the high levels of immature platelets in patients with Covid-19, as reflected by the high values of IPF and IPC, is most likely increased platelet turnover. Acute illnesses are often associated with increased platelet turnover and enhanced thrombopoiesis, although this has mainly been demonstrated for conditions associated with acute thrombotic events such as AMI and stroke [22, 23]. In certain viral infections, platelet specific receptors have been reported to interact with viral pathogens [24], potentially leading to a systemic inflammatory response, and increased platelet consumption and removal, with resultant enhanced thrombopoiesis [25-27]. It should be noted, however, that the lack of association between immature platelet indices and Covid-19 disease severity in our study, does not support a direct virus-platelet interaction, rather a systemic inflammatory response to the virus, with resultant enhanced thrombopoiesis. We examined in the current study both IPF and IPC (%IPF * total platelet count) as indices of platelet turnover and reactivity. We have found that the maximal values of IPC in patients with Covid-19 were higher than the maximal IPC values of both patients with AMI and stable patients with cardiovascular risk factors. Especially remarkable are the elevated values of IPC in Covid-19 patients compared to patients with AMI, known to have hyper-reactive platelets and enhanced platelet turnover [22]. It is important to note that IPC has been found to be the strongest independent platelet–derived predictor of antiplatelet response to thienopyridines (including parameters such as the CYP2C19*2 polymorphism, ADP-induced impedance aggregometry and various immature platelet indices) [20]. IPC has also been shown to be a strong independent predictor of major adverse cardiac events in patients with CAD [19]. Thus, the elevated IPC values found in Covid-19 patients might have important clinical significance. The increased IPF and IPC values at admission and during the hospital course suggest that immature platelet markers may be employed for risk stratification in Covid-19 patients. In addition, Covid-19 patients with elevated levels of IPC (above a certain threshold) may benefit from antiplatelet therapy. The antithrombotic therapy regimen in patients with Covid-19 is challenging. The combination of thrombocytopenia and consumption coagulopathy, together with high risk for VTE and arterial thrombotic events makes the treatment of Covid-19 particularly complex [17]. Current protocols recommend that hospitalized patients with confirmed Covid-19 should be treated with VTE prophylaxis, unless there are specific contraindications [17]. Due to higher VTE risk in patients with severe disease, several protocols suggest they should be treated with full dose of anticoagulation. There are still unanswered questions about treatment duration and whether antiplatelet therapy should be administered as well. These challenges emphasized the need for better tools for thrombosis risk stratification and particularly platelet involvement. Unexpectedly, we did not find an association between immature platelet indices and Covid-19 disease severity. This is in contrast to the association of other thrombotic indices (such as D-dimer and fibrinogen degradation products) with disease severity [13]. It is possible that the relatively small size of the Covid-19 group (n = 47), and the limited number of patients with severe disease (3 patients on admission, and 13 during the subsequent hospital course), has limited the ability to detect differences in immature platelet indices according to disease severity. The current study has several limitations. Although the 3 study groups were all prospectively enrolled and examined, they were recruited at different time periods (the 2 control groups were recruited during a roughly one-year period before and up to the Covid-19 outbreak). Furthermore, the two control groups had several exclusion criteria, while no such criteria, were applied for the Covid-19 group. Nevertheless, the 3 groups were relatively well-matched in terms of cardiac risk factors and the proportion of patients with CAD. In addition, despite the different time periods the laboratory assays employed for IPF were identical for all patients. To conclude, patients with Covid-19 respiratory disease appear to have enhanced platelet turnover and reactivity, as evidenced by increased levels of immature platelet indices (especially IPC), compared to both control groups. Further research is required to explore the mechanisms of this phenomenon, and to examine the clinical impact of elevated immature platelet indices on the risk of thromboembolic events, in patients with Covid-19.
  27 in total

1.  Validation of a modified Early Warning Score in medical admissions.

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2.  Circulating reticulated platelets in the early and late phases after ischaemic stroke and transient ischaemic attack.

Authors:  Dominick J H McCabe; Paul Harrison; Paul S Sidhu; Martin M Brown; Samuel J Machin
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3.  Association of immature platelets with adverse cardiovascular outcomes.

Authors:  Homam Ibrahim; Robert C Schutt; Bashar Hannawi; Timothy DeLao; Colin M Barker; Neal S Kleiman
Journal:  J Am Coll Cardiol       Date:  2014-11-10       Impact factor: 24.094

4.  Reticulated platelets predict cardiovascular death in acute coronary syndrome patients. Insights from the AMI-Florence 2 Study.

Authors:  F Cesari; R Marcucci; A M Gori; R Caporale; A Fanelli; G Casola; D Balzi; A Barchielli; S Valente; C Giglioli; G F Gensini; R Abbate
Journal:  Thromb Haemost       Date:  2013-03-14       Impact factor: 5.249

5.  Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.

Authors:  Chaolin Huang; Yeming Wang; Xingwang Li; Lili Ren; Jianping Zhao; Yi Hu; Li Zhang; Guohui Fan; Jiuyang Xu; Xiaoying Gu; Zhenshun Cheng; Ting Yu; Jiaan Xia; Yuan Wei; Wenjuan Wu; Xuelei Xie; Wen Yin; Hui Li; Min Liu; Yan Xiao; Hong Gao; Li Guo; Jungang Xie; Guangfa Wang; Rongmeng Jiang; Zhancheng Gao; Qi Jin; Jianwei Wang; Bin Cao
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

6.  ST-Segment Elevation in Patients with Covid-19 - A Case Series.

Authors:  Sripal Bangalore; Atul Sharma; Alexander Slotwiner; Leonid Yatskar; Rafael Harari; Binita Shah; Homam Ibrahim; Gary H Friedman; Craig Thompson; Carlos L Alviar; Hal L Chadow; Glenn I Fishman; Harmony R Reynolds; Norma Keller; Judith S Hochman
Journal:  N Engl J Med       Date:  2020-04-17       Impact factor: 91.245

7.  A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster.

Authors:  Jasper Fuk-Woo Chan; Shuofeng Yuan; Kin-Hang Kok; Kelvin Kai-Wang To; Hin Chu; Jin Yang; Fanfan Xing; Jieling Liu; Cyril Chik-Yan Yip; Rosana Wing-Shan Poon; Hoi-Wah Tsoi; Simon Kam-Fai Lo; Kwok-Hung Chan; Vincent Kwok-Man Poon; Wan-Mui Chan; Jonathan Daniel Ip; Jian-Piao Cai; Vincent Chi-Chung Cheng; Honglin Chen; Christopher Kim-Ming Hui; Kwok-Yung Yuen
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

8.  Cardiovascular Disease, Drug Therapy, and Mortality in Covid-19.

Authors:  Mandeep R Mehra; Sapan S Desai; SreyRam Kuy; Timothy D Henry; Amit N Patel
Journal:  N Engl J Med       Date:  2020-05-01       Impact factor: 91.245

9.  Incidence of thrombotic complications in critically ill ICU patients with COVID-19.

Authors:  F A Klok; M J H A Kruip; N J M van der Meer; M S Arbous; D A M P J Gommers; K M Kant; F H J Kaptein; J van Paassen; M A M Stals; M V Huisman; H Endeman
Journal:  Thromb Res       Date:  2020-04-10       Impact factor: 3.944

10.  Thrombocytopenia is associated with severe coronavirus disease 2019 (COVID-19) infections: A meta-analysis.

Authors:  Giuseppe Lippi; Mario Plebani; Brandon Michael Henry
Journal:  Clin Chim Acta       Date:  2020-03-13       Impact factor: 3.786

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Authors:  Michael Mezgebe; Barry Frank Jacobson; Elizabeth Sarah Mayne; Susan Louw
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Review 3.  Platelets in Viral Infections - Brave Soldiers or Trojan Horses.

Authors:  Waltraud C Schrottmaier; Anna Schmuckenschlager; Anita Pirabe; Alice Assinger
Journal:  Front Immunol       Date:  2022-03-28       Impact factor: 7.561

Review 4.  Mechanisms of Immunothrombosis by SARS-CoV-2.

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5.  Routine and Advanced Laboratory Tests for Hemostasis Disorders in COVID-19 Patients: A Prospective Cohort Study.

Authors:  Paul Billoir; Perrine Leprêtre; Caroline Thill; Jeremy Bellien; Veronique Le Cam Duchez; Jean Selim; Fabienne Tamion; Thomas Clavier; Emmanuel Besnier
Journal:  J Clin Med       Date:  2022-03-03       Impact factor: 4.241

6.  Meta-Analysis and Systematic Review of Coagulation Disbalances in COVID-19: 41 Studies and 17,601 Patients.

Authors:  Polina Len; Gaukhar Iskakova; Zarina Sautbayeva; Aigul Kussanova; Ainur T Tauekelova; Madina M Sugralimova; Anar S Dautbaeva; Meruert M Abdieva; Eugene D Ponomarev; Alexander Tikhonov; Makhabbat S Bekbossynova; Natasha S Barteneva
Journal:  Front Cardiovasc Med       Date:  2022-03-11

7.  A Hybrid Feature Selection Approach to Screen a Novel Set of Blood Biomarkers for Early COVID-19 Mortality Prediction.

Authors:  Asif Hassan Syed; Tabrej Khan; Nashwan Alromema
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Review 8.  The impact of platelets on pulmonary microcirculation throughout COVID-19 and its persistent activating factors.

Authors:  Mengqi Xiang; Xiaoming Wu; Haijiao Jing; Langjiao Liu; Chunxu Wang; Yufeng Wang; Valerie A Novakovic; Jialan Shi
Journal:  Front Immunol       Date:  2022-09-28       Impact factor: 8.786

Review 9.  Viral-Induced Inflammatory Coagulation Disorders: Preparing for Another Epidemic.

Authors:  Toshiaki Iba; Jerrold H Levy; Marcel Levi
Journal:  Thromb Haemost       Date:  2021-09-13       Impact factor: 6.681

10.  Plasma Fibrinogen Independently Predicts Hypofibrinolysis in Severe COVID-19.

Authors:  Diana Schrick; Margit Tőkés-Füzesi; Barbara Réger; Tihamér Molnár
Journal:  Metabolites       Date:  2021-11-30
  10 in total

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