Literature DB >> 35390553

Influence of sex on development of thrombosis in patients with COVID-19: From the CLOT-COVID study.

Yugo Yamashita1, Sen Yachi2, Makoto Takeyama2, Yuji Nishimoto3, Ichizo Tsujino4, Junichi Nakamura4, Naoto Yamamoto5, Hiroko Nakata6, Satoshi Ikeda7, Michihisa Umetsu8, Shizu Aikawa9, Hiroya Hayashi10, Hirono Satokawa11, Yoshinori Okuno12, Eriko Iwata13, Yoshito Ogihara14, Nobutaka Ikeda15, Akane Kondo16, Takehisa Iwai17, Norikazu Yamada18, Tomohiro Ogawa19, Takao Kobayashi5, Makoto Mo20.   

Abstract

INTRODUCTION: There has been limited data on the influence of sex on development of thrombosis in patients with coronavirus disease 2019 (COVID-19).
MATERIALS AND METHODS: The CLOT-COVID Study was a retrospective, multicenter cohort study enrolling 2894 consecutive hospitalized patients with COVID-19 among 16 centers in Japan from April 2021 to September 2021. We divided the entire cohort into the men (N = 1885) and women (N = 1009) groups.
RESULTS: There were no significant differences in D-dimer levels at admission between men and women. Men had more severe status of the COVID-19 at admission compared with women (Mild: 57% versus 66%, Moderate: 34% versus 29%, and Severe: 9.1% versus 5.7%, P < 0.001). Men more often received pharmacological thromboprophylaxis than women (47% versus 35%, P < 0.001). During the hospitalization, men more often developed thrombosis than women (2.5% [95%CI, 1.9-3.3%] versus 0.8% [95%CI, 0.4-1.6%], P = 0.001). Men had numerically higher incidences of thrombosis than women in all subgroups of the worst severity of COVID-19 during the hospitalization (Mild: 0.3% versus 0.0%, Moderate: 1.6% versus 1.0%, and Severe: 11.1% versus 4.3%). Even after adjusting confounders in the multivariable logistic regression model, the excess risk of men relative to women remained significant for thrombosis (adjusted OR, 2.51; 95%CI, 1.16-5.43, P = 0.02).
CONCLUSIONS: In the current large observational study of patients with COVID-19, men had more severe status of the COVID-19 than women, and the risk of development of thrombosis was higher in men compared with women, which could be helpful in determining the patient-specific optimal management strategies for COVID-19.
Copyright © 2022 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  COVID-19; Sex; Thrombosis

Mesh:

Substances:

Year:  2022        PMID: 35390553      PMCID: PMC8970622          DOI: 10.1016/j.thromres.2022.03.023

Source DB:  PubMed          Journal:  Thromb Res        ISSN: 0049-3848            Impact factor:   10.407


Introduction

The coronavirus disease 2019 (COVID-19) has become a huge threat as a pandemic [1], [2], which has been reported to cause cardiovascular complications including a high prevalence of thrombosis [3], [4], [5]. Based on the potential benefit of anticoagulation therapy for primary prevention of thrombosis leading to improved survival, several current guidelines recommend a pharmacological thromboprophylaxis for all hospitalized patients with COVID-19 [6], [7]. However, the risk of thrombosis in patients with COVID-19 could widely vary according to patient characteristics, and optimal pharmacological thromboprophylaxis strategies for patients with COVID-19 could be still a matter of debate [8]. Thus, risk assessment for development of thrombosis might be clinically relevant in determining more suitable patients for anticoagulation therapy as well as intensity of anticoagulation therapy. A previous study reported that men might be at higher risk for venous thromboembolism (VTE) compared with women in general population [9], and another previous study reported that men had a higher risk of recurrence than women in patients with VTE [10], which might suggest a different influence of sex on development of thrombosis. Although previous studies reported several potential risk factors of thrombosis in patients with COVID-19 [5], [11], the influence of sex on development of thrombosis in patients with COVID-19 have not been fully evaluated. Thus, the current study aimed to evaluate clinical characteristics and outcomes between men and women and assess the influence of sex on development of thrombosis, using a large-scale multicenter observational database of patients with COVID-19 in Japan.

Materials and methods

Study population

The CLOT-COVID Study (Thrombosis and Anticoagulation Therapy in patients with COVID-19 in Japan Study: UMIN000045800) was a physician-initiated, retrospective, multicenter cohort study enrolling consecutive hospitalized patients with COVID-19 among 16 centers in Japan from April 2021 to September 2021. We enrolled consecutive patients who were diagnosed as COVID-19 infection by a positive polymerase chain reaction (PCR) test, and a total of 2894 hospitalized patients with COVID-19 were included into the CLOT-COVID Study. In the current study, we divided the entire cohort into the men and women groups. The relevant review boards or ethics committees in all participating centers approved the research protocol. All procedures followed were in accordance with the Declaration of Helsinki. Written informed consent from each patient was waived, because we used the clinical information obtained in routine clinical practice. This method was concordant with the guidelines for epidemiological studies issued by the Ministry of Health, Labor, and Welfare in Japan.

Data collection and definitions for patient characteristics

Data on the patient characteristics, pharmacological thromboprophylaxis managements, and clinical outcomes were collected from the hospital charts or hospital databases according to the pre-specified definitions. The physicians at each institution were responsible for the data entry into an electronic case report form, and data were manually checked for missing or contradictory input and values out of the expected range at the general office. The severity of the COVID-19 was classified as mild, moderate, or severe COVID-19. Patients with mild COVID-19 were defined as those who did not require oxygen, patients with moderate COVID-19 were defined as those who required oxygen, and patients with severe COVID-19 were defined as those who required mechanical ventilation or extracorporeal membrane oxygenation (ECMO) [12], [13]. Pharmacological thromboprophylaxis management was evaluated by the usage of anticoagulants during the hospitalization except for their usage for the treatment of thrombosis. The detailed definitions of other patient characteristics are described in Supplementary Appendix 1.

Clinical outcomes

The primary outcome measure in the current study was thrombosis during the hospitalization after the patients were diagnosed as COVID-19 infection by a positive PCR test. The thrombosis included VTE, ischemic stroke, myocardial infarction, and systemic arterial thromboembolism. VTE was defined as pulmonary embolism (PE) and/or deep vein thrombosis (DVT) objectively confirmed by imaging examinations (ultrasound, contrast-enhanced computed tomography [CT], ventilation-perfusion lung scintigraphy, pulmonary angiography, or contrast venography) or by autopsy. Ischemic stroke was defined as stroke either requiring or prolonging the hospitalization with symptoms lasting more than 24 h. Myocardial infarction was defined in accordance with the universal myocardial infarction guidelines [14]. The secondary outcome measures in the current study were major bleeding and all-cause death during the hospitalization. Major bleeding was diagnosed as International Society of Thrombosis and Hemostasis (ISTH) major bleeding, which consisted of a reduction in the hemoglobin level by at least 2 g/dL, transfusion of at least 2 units of blood, or symptomatic bleeding in a critical area or organ [15].

Statistical analysis

Categorical variables were presented as numbers and percentages. Continuous variables were presented as the mean and standard deviation or the median and interquartile range based on their distributions. Categorical variables were compared with the chi-square test when appropriate; otherwise, a Fisher's exact test was used. Continuous variables were compared using Student's t-test or Wilcoxon's rank sum test based on their distributions. The clinical outcomes are presented as numbers of events and percentages with the 95% confidence intervals (CI). We further evaluated clinical outcomes by stratified analysis according to the worst severity of COVID-19 during the hospitalization. In addition, to adjust for the clinically relevant variables, we constructed the multivariable logistic regression model to estimate the odds ratio (OR) and their 95% CI of men relative to women for development of thrombosis. Consistent with previous reports [5], [11], [16] and consideration of clinical relevance, we selected 4 risk-adjusting variables of baseline characteristics (age, body mass index [BMI] >30 kg/m2, D-dimer levels at admission >1.0 μg/mL, and severity of COVID-19 at admission) and pharmacological thromboprophylaxis. All statistical analyses were performed with JMP version 14.0.0 software (SAS Institute Inc., Cary, NC, USA). All reported P-values were 2-tailed, and P-values <0.05 were considered statistically significant.

Results

Patient characteristics

Among the 2894 patients, men accounted for 1885 (65%) and women 1009 (35%). Men had a higher body weight and BMI than women (73.9 kg versus 59.4 kg, P < 0.001 and 25.7 kg/m2 versus 24.4 kg/m2, P < 0.001), while there were no significant differences in age and D-dimer levels at admission between men and women (Table 1 ). As for comorbidities, men more often had hypertension and diabetes mellitus than women, while there were no significant differences in active cancer and a history of VTE between men and women.
Table 1

Patient characteristics and management strategies during hospitalization.

MenN = 1885WomenN = 1009P-value
Baseline characteristics
 Age (years)52 ± 1653 ± 200.17
 Body weight (kg)73.9 ± 17.559.4 ± 16.6<0.001
 Body mass index (kg/m2)25.7 ± 5.124.4 ± 5.8<0.001
 Body mass index >30 kg/m2305 (16%)154 (15%)0.52
 D-dimer level at admission (μg/mL) (N = 2771)0.8 (0.5–1.3)0.7 (0.5–1.3)0.17
Comorbidities
 Hypertension616 (33%)258 (26%)<0.001
 Diabetes mellitus429 (23%)168 (17%)<0.001
 Heart disease187 (9.9%)68 (6.7%)0.004
 Respiratory disease187 (10%)111 (11%)0.36
 Active cancer44 (2.3%)16 (1.6%)0.18
 History of major bleeding16 (0.9%)12 (1.2%)0.37
 History of VTE11 (0.6%)4 (0.4%)0.50
Severity of COVID-19 at admission
 Mild1075 (57%)663 (66%)<0.001
 Moderate (Need oxygen)638 (34%)289 (29%)
 Severe (Need mechanical ventilation/ECMO)172 (9.1%)57 (5.7%)
Worst severity of COVID-19 during hospitalization
 Mild763 (40%)520 (52%)<0.001
 Moderate (Need oxygen)834 (44%)396 (39%)
 Severe (Need mechanical ventilation/ECMO)288 (15%)93 (9.2%)
Pharmacological thromboprophylaxis managements
 Anticoagulants894 (47%)351 (35%)<0.001
 Unfractionated heparin of a prophylactic dose477/894 (54%)208/351 (59%)0.003
 Unfractionated heparin of a therapeutic dose123/894 (14%)38/351 (11%)
 Low-molecular-weight heparin of a prophylactic dose166/894 (19%)38/351 (11%)
 Low-molecular-weight heparin of a therapeutic dose0/894 (0%)0/351 (0%)
 Direct oral anticoagulants105/894 (12%)59/351 (17%)
 Warfarin15/894 (1.7%)4/351 (1.1%)
 Others8/894 (0.9%)4/351 (1.1%)
Imaging examinations during hospitalization
 Ultrasound examination of the lower extremities23 (1.2%)15 (1.5%)0.55
 Contrast-enhanced CT examination100 (5.3%)26 (2.6%)<0.001
 Reasons for performing contrast-enhanced CT examination
 Suspicion of VTE48/100 (48%)11/26 (42%)0.60
 Other reasons52/100 (52%)15/26 (58%)

Categorical variables are presented as numbers and percentages, and continuous variables are presented as the mean and standard deviation or the median and interquartile range based on their distributions. Categorical variables were compared using the chi-squared test when appropriate; otherwise, Fisher's exact test was used. Continuous variables were compared using the Student's t-test or Wilcoxon's rank sum test based on distribution. Unfractionated heparin of a therapeutic dose was defined as the administration of unfractionated heparin targeting a therapeutic range referencing the APTT. Unfractionated heparin of a prophylactic dose was defined as the administration of unfractionated heparin of a fixed dose without a referencing the APTT.

VTE, venous thromboembolism; COVID-19, coronavirus disease 2019; ECMO, extracorporeal membrane oxygenation; APTT, activated partial thromboplastin time; CT, computed tomography.

Patient characteristics and management strategies during hospitalization. Categorical variables are presented as numbers and percentages, and continuous variables are presented as the mean and standard deviation or the median and interquartile range based on their distributions. Categorical variables were compared using the chi-squared test when appropriate; otherwise, Fisher's exact test was used. Continuous variables were compared using the Student's t-test or Wilcoxon's rank sum test based on distribution. Unfractionated heparin of a therapeutic dose was defined as the administration of unfractionated heparin targeting a therapeutic range referencing the APTT. Unfractionated heparin of a prophylactic dose was defined as the administration of unfractionated heparin of a fixed dose without a referencing the APTT. VTE, venous thromboembolism; COVID-19, coronavirus disease 2019; ECMO, extracorporeal membrane oxygenation; APTT, activated partial thromboplastin time; CT, computed tomography. Men had more severe status of the COVID-19 at admission compared with women (Mild: 57% versus 66%, Moderate: 34% versus 29%, and Severe: 9.1% versus 5.7%, P < 0.001) (Table 1). Similarly, men had more severe status of the worst severity of COVID-19 during hospitalization compared with women (Mild: 40% versus 52%, Moderate: 44% versus 39%, and Severe: 15% versus 9.2%, P < 0.001).

Pharmacological thromboprophylaxis management and imaging examinations

Men more often received pharmacological thromboprophylaxis than women (47% versus 35%, P < 0.001) (Table 1). There was no significant difference in ultrasound examinations of the lower extremities during the hospitalization between men and women, whereas men more often received contrast-enhanced CT examinations during the hospitalization than women (5.3% versus 2.6%, P < 0.001).

Clinical outcomes during the hospitalization

During the hospitalization, men more often developed thrombosis than women (2.5% [95% CI, 1.9–3.3%] versus 0.8% [95% CI, 0.4–1.6%], P = 0.001) (Table 2 ). Men had numerically higher incidences of thrombosis than women in all subgroups of the worst severity of COVID-19 during the hospitalization (Mild: 0.3% versus 0.0%, Moderate: 1.6% versus 1.0%, and Severe: 11.1% versus 4.3%) (Fig. 1A). Even after adjusting confounders in the multivariable logistic regression model, the excess risk of men relative to women remained significant for thrombosis (adjusted OR, 2.51; 95% CI, 1.16–5.43, P = 0.02). The most frequent thrombosis during the hospitalization was VTE (71%), and men more often developed VTE than women (1.8% [95% CI, 1.2–2.5%] versus 0.6% [95% CI, 0.2–1.3%], P = 0.01).
Table 2

Clinical outcomes during hospitalization.

MenN = 1885WomenN = 1009P-value
Thrombosis47 (2.5% [1.9–3.3%])8 (0.8% [0.4–1.6%])0.001
 VTE33 (1.8% [1.2–2.5%])6 (0.6% [0.2–1.3%])0.01
 PE with or without DVT19/33 (58%)2/6 (33%)
 DVT only14/33 (42%)4/6 (67%)
 Arterial thrombotic events11 (0.6% [0.3–1.1%])1 (0.1% [0.0–0.6%])0.053
 Ischemic stroke8/11 (73%)1/1 (100%)
 Myocardial infarction2/11 (18%)0/1 (0%)
 Systemic arterial thromboembolism1/11 (9.1%)0/1 (0%)
 Other thrombosis6 (0.3% [0.1–0.7%])1 (0.1% [0.0–0.6%])0.25
Major bleeding42 (2.2% [1.6–3.0%])15 (1.5% [0.9–2.5%])0.17
All-cause death109 (5.8% [4.8–6.9%])49 (4.9% [3.7–6.4%])0.30

The clinical outcomes are presented as numbers of events and percentages with the 95% confidence intervals, which were compared using the chi-squared test when appropriate; otherwise, Fisher's exact test was used as categorial variables.

VTE, venous thromboembolism; PE, pulmonary embolism; DVT, deep vein thrombosis; CI, confidence intervals.

Fig. 1

Incidences of thrombosis (A), major bleeding (B) and all-cause death (C) comparing men and women according to the worst severity of COVID-19 during the hospitalization.

Patients with mild COVID-19 were defined as those who did not require oxygen, patients with moderate COVID-19 were defined as those who required oxygen, and patients with severe COVID-19 were defined as those who required mechanical ventilation or extracorporeal membrane oxygenation.

COVID-19, coronavirus disease 2019.

Clinical outcomes during hospitalization. The clinical outcomes are presented as numbers of events and percentages with the 95% confidence intervals, which were compared using the chi-squared test when appropriate; otherwise, Fisher's exact test was used as categorial variables. VTE, venous thromboembolism; PE, pulmonary embolism; DVT, deep vein thrombosis; CI, confidence intervals. Incidences of thrombosis (A), major bleeding (B) and all-cause death (C) comparing men and women according to the worst severity of COVID-19 during the hospitalization. Patients with mild COVID-19 were defined as those who did not require oxygen, patients with moderate COVID-19 were defined as those who required oxygen, and patients with severe COVID-19 were defined as those who required mechanical ventilation or extracorporeal membrane oxygenation. COVID-19, coronavirus disease 2019. There were no significant differences in major bleeding and all-cause death during the hospitalization between men and women (Major bleeding: 2.2% [95% CI, 1.6–3.0%] versus 1.5% [95% CI, 0.9–2.5%], P = 0.17; All-cause death: 5.8% [95% CI, 4.8–6.9%] versus 4.9% [95% CI, 3.7–6.4%], P = 0.30) (Table 2). The incidences of major bleeding and all-cause death comparing men and women according to the worst severity of COVID-19 during the hospitalization are shown in Fig. 1B and Fig. 1C.

Discussion

The main findings of the current study were as follows: 1) Men had more severe status of the COVID-19 than women with a higher proportion of pharmacological thromboprophylaxis; 2) Although there was no significant difference in D-dimer levels at admission between men and women, the risk of development of thrombosis was higher in men compared with women. Previous studies reported a similar prevalence of COVID-19 infection between men and women but a more severe status of COVID-19 with a worse outcome in men compared with women [17], [18], [19], [20], [21], which was also confirmed at all age groups. The sex-related difference in the severity and outcome in patients with COVID-19 could be partly explained by mechanisms of virus infection, immune response to the virus, development of hyperinflammation and hypercoagulability, systemic inflammation, as well as thrombosis [22]. Consistent with these previous reports, the current study showed that men had more severe status of the COVID-19 than women. The current study also showed that men more often received pharmacological thromboprophylaxis, which could be partly due to a higher proportion of more severe status of COVID-19 in men. This could be partly because some clinicians felt that some of patients especially with mild COVID-19 should not necessarily receive pharmacological thromboprophylaxis based on thrombotic and bleeding risk although several current guidelines recommend a pharmacological thromboprophylaxis for all hospitalized patients with COVID-19. Although sex could have a different influence on thrombosis in patients with COVID-19, little has been reported about a potential influence of sex on thrombosis in patients with COVID-19. In addition, race differences and distinct resource availability in each country may have notable implications in the presentation and diagnosis of thrombosis [12], [13]. A recent study from U.S.A. reported that men hospitalized with COVID-19 were more likely to have venous and arterial thromboembolic events [23]. Another study also reported that men hospitalized with COVID-19 had a greater risk of thrombosis than women focusing on different age groups [24]. Consistent with the previous report, the current study from Japan also showed a higher risk of thrombosis in men compared with women, which seemed to be consistent even after stratifying the severity of COVID-19 or adjusting clinically relevant confounders including pharmacological thromboprophylaxis. The established mechanisms for the influence of sex on thrombosis in patients with COVID-19 remain unclear. Theoretically, COVID-19 is thought to develop thrombosis through an activation of coagulation-related factors due to a cytokine storm [8]. The activation of coagulation might be recognized as increased D-dimer levels, elevated prothrombin time, and activated partial thromboplastin time [25]. A previous study reported that sex had different immunity response with more cytokine production in men, which was suggested by higher levels of CRP, D-dimer, interleukin-6, interleukin-8, and interleukin-18 in men compared with women in patients with COVID-19 [26]. However, the current study showed comparable D-dimer levels at admission between men and women, which could suggest potential benefit of different risk management for thrombosis according to sex beyond D-dimer levels at admission. Anticoagulation therapy could reduce thrombosis, but could be likely to increase bleeding events. Thus, an attention should be paid to take a good balance between thrombotic and bleeding risks. The current study also showed no large sex-related difference in the risk for major bleeding. The current results could suggest the utility of different pharmacological thromboprophylaxis strategies between men and women in hospitalized patients with COVID-19. In addition to who should receive pharmacological thromboprophylaxis, it could also be important to know what is the optimal intensity of anticoagulants. Currently, there seemed to be conflicting results for the optimal intensity of anticoagulation therapy [27], [28], [29], [30], which could be partly due to different study population with heterogeneity-risk of thrombosis. Considering the potential higher risk of thrombosis in men than women, future clinical studies might have to consider incorporating the influence of sex when determining patient-specific pharmacological thromboprophylaxis strategies for patients with COVID-19. There may be possibility that more intensive pharmacological thromboprophylaxis in very high-risk patients among men has potential benefit for mortality.

Study limitations

The current study had several limitations. First, the current study was an observational study, which can be subject to various biases inherent to observational study design. Especially, the therapeutic decision-making including pharmacological thromboprophylaxis was left to the discretion of the attending physicians, which could have some influence on clinical outcomes. Second, the absolute number of clinical outcomes was relatively small, although it was derived from a large observational database of patients with COVID-19. Thus, we could not conduct the multivariable analysis with comprehensive variables, which could cause residual confounding. Especially, different critical status of patients including mechanical support in intensive care unit setting could have a certain influence on the current results. Third, because the current study was conducted in Japan, we could not evaluate the influence of racial differences on clinical outcomes. Finally, the current study evaluated only clinical outcomes during the hospitalization. Thus, we could not discuss the risk of thrombosis after discharge.

Conclusions

In the current large observational study of patients with COVID-19, men had more severe status of the COVID-19 than women, and the risk of development of thrombosis was higher in men compared with women, which could be helpful in determining the patient-specific optimal management strategies for COVID-19.

Funding

The CLOT-COVID study was partially supported by research funding from Fujiwara Memorial Foundation (Kyoto, Japan) and research funding from Foundation Kyoto Health Care Society (Kyoto, Japan). The research funding had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; and the preparation, review, or approval of the manuscript.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
  29 in total

1.  Third universal definition of myocardial infarction.

Authors:  Kristian Thygesen; Joseph S Alpert; Allan S Jaffe; Maarten L Simoons; Bernard R Chaitman; Harvey D White; Hugo A Katus; Bertil Lindahl; David A Morrow; Peter M Clemmensen; Per Johanson; Hanoch Hod; Richard Underwood; Jeroen J Bax; Robert O Bonow; Fausto Pinto; Raymond J Gibbons; Keith A Fox; Dan Atar; L Kristin Newby; Marcello Galvani; Christian W Hamm; Barry F Uretsky; Ph Gabriel Steg; William Wijns; Jean-Pierre Bassand; Phillippe Menasché; Jan Ravkilde; E Magnus Ohman; Elliott M Antman; Lars C Wallentin; Paul W Armstrong; Maarten L Simoons; James L Januzzi; Markku S Nieminen; Mihai Gheorghiade; Gerasimos Filippatos; Russell V Luepker; Stephen P Fortmann; Wayne D Rosamond; Dan Levy; David Wood; Sidney C Smith; Dayi Hu; José-Luis Lopez-Sendon; Rose Marie Robertson; Douglas Weaver; Michal Tendera; Alfred A Bove; Alexander N Parkhomenko; Elena J Vasilieva; Shanti Mendis
Journal:  Circulation       Date:  2012-08-24       Impact factor: 29.690

2.  A risk assessment model for the identification of hospitalized medical patients at risk for venous thromboembolism: the Padua Prediction Score.

Authors:  S Barbar; F Noventa; V Rossetto; A Ferrari; B Brandolin; M Perlati; E De Bon; D Tormene; A Pagnan; P Prandoni
Journal:  J Thromb Haemost       Date:  2010-11       Impact factor: 5.824

3.  Effect of Intermediate-Dose vs Standard-Dose Prophylactic Anticoagulation on Thrombotic Events, Extracorporeal Membrane Oxygenation Treatment, or Mortality Among Patients With COVID-19 Admitted to the Intensive Care Unit: The INSPIRATION Randomized Clinical Trial.

Authors:  Parham Sadeghipour; Azita H Talasaz; Farid Rashidi; Babak Sharif-Kashani; Mohammad Taghi Beigmohammadi; Mohsen Farrokhpour; Seyed Hashem Sezavar; Pooya Payandemehr; Ali Dabbagh; Keivan Gohari Moghadam; Sepehr Jamalkhani; Hossein Khalili; Mahdi Yadollahzadeh; Taghi Riahi; Parisa Rezaeifar; Ouria Tahamtan; Samira Matin; Atefeh Abedini; Somayeh Lookzadeh; Hamid Rahmani; Elnaz Zoghi; Keyhan Mohammadi; Pardis Sadeghipour; Homa Abri; Sanaz Tabrizi; Seyed Masoud Mousavian; Shaghayegh Shahmirzaei; Hooman Bakhshandeh; Ahmad Amin; Farnaz Rafiee; Elahe Baghizadeh; Bahram Mohebbi; Seyed Ehsan Parhizgar; Rasoul Aliannejad; Vahid Eslami; Alireza Kashefizadeh; Hessam Kakavand; Seyed Hossein Hosseini; Shadi Shafaghi; Samrand Fattah Ghazi; Atabak Najafi; David Jimenez; Aakriti Gupta; Mahesh V Madhavan; Sanjum S Sethi; Sahil A Parikh; Manuel Monreal; Naser Hadavand; Alireza Hajighasemi; Majid Maleki; Saeed Sadeghian; Gregory Piazza; Ajay J Kirtane; Benjamin W Van Tassell; Paul P Dobesh; Gregg W Stone; Gregory Y H Lip; Harlan M Krumholz; Samuel Z Goldhaber; Behnood Bikdeli
Journal:  JAMA       Date:  2021-04-27       Impact factor: 56.272

4.  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

5.  Confirmation of the high cumulative incidence of thrombotic complications in critically ill ICU patients with COVID-19: An updated analysis.

Authors:  F A Klok; M J H A Kruip; N J M van der Meer; M S Arbous; D Gommers; K M Kant; F H J Kaptein; J van Paassen; M A M Stals; M V Huisman; H Endeman
Journal:  Thromb Res       Date:  2020-04-30       Impact factor: 3.944

6.  Clinical Characteristics of Coronavirus Disease 2019 in China.

Authors:  Wei-Jie Guan; Zheng-Yi Ni; Yu Hu; Wen-Hua Liang; Chun-Quan Ou; Jian-Xing He; Lei Liu; Hong Shan; Chun-Liang Lei; David S C Hui; Bin Du; Lan-Juan Li; Guang Zeng; Kwok-Yung Yuen; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Ping-Yan Chen; Jie Xiang; Shi-Yue Li; Jin-Lin Wang; Zi-Jing Liang; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Nan-Shan Zhong
Journal:  N Engl J Med       Date:  2020-02-28       Impact factor: 91.245

7.  Sex-, Race- and Ethnicity-Based Differences in Thromboembolic Events Among Adults Hospitalized With COVID-19.

Authors:  Sadia Ilyas; Stanislav Henkin; Pablo Martinez-Camblor; Bjoern D Suckow; Jocelyn M Beach; David H Stone; Philip P Goodney; Joseph E Ebinger; Mark A Creager; Jesse A Columbo
Journal:  J Am Heart Assoc       Date:  2021-11-30       Impact factor: 5.501

8.  Gender Differences in Patients With COVID-19: Focus on Severity and Mortality.

Authors:  Jian-Min Jin; Peng Bai; Wei He; Fei Wu; Xiao-Fang Liu; De-Min Han; Shi Liu; Jin-Kui Yang
Journal:  Front Public Health       Date:  2020-04-29

Review 9.  COVID-19 update: Covid-19-associated coagulopathy.

Authors:  Richard C Becker
Journal:  J Thromb Thrombolysis       Date:  2020-07       Impact factor: 2.300

10.  American Society of Hematology 2021 guidelines on the use of anticoagulation for thromboprophylaxis in patients with COVID-19.

Authors:  Adam Cuker; Eric K Tseng; Robby Nieuwlaat; Pantep Angchaisuksiri; Clifton Blair; Kathryn Dane; Jennifer Davila; Maria T DeSancho; David Diuguid; Daniel O Griffin; Susan R Kahn; Frederikus A Klok; Alfred Ian Lee; Ignacio Neumann; Ashok Pai; Menaka Pai; Marc Righini; Kristen M Sanfilippo; Deborah Siegal; Mike Skara; Kamshad Touri; Elie A Akl; Imad Bou Akl; Mary Boulos; Romina Brignardello-Petersen; Rana Charide; Matthew Chan; Karin Dearness; Andrea J Darzi; Philipp Kolb; Luis E Colunga-Lozano; Razan Mansour; Gian Paolo Morgano; Rami Z Morsi; Atefeh Noori; Thomas Piggott; Yuan Qiu; Yetiani Roldan; Finn Schünemann; Adrienne Stevens; Karla Solo; Matthew Ventresca; Wojtek Wiercioch; Reem A Mustafa; Holger J Schünemann
Journal:  Blood Adv       Date:  2021-02-09
View more
  2 in total

1.  Influence of obesity on incidence of thrombosis and disease severity in patients with COVID-19: From the CLOT-COVID study.

Authors:  Yoshito Ogihara; Sen Yachi; Makoto Takeyama; Yuji Nishimoto; Ichizo Tsujino; Junichi Nakamura; Naoto Yamamoto; Hiroko Nakata; Satoshi Ikeda; Michihisa Umetsu; Shizu Aikawa; Hiroya Hayashi; Hirono Satokawa; Yoshinori Okuno; Eriko Iwata; Nobutaka Ikeda; Akane Kondo; Takehisa Iwai; Norikazu Yamada; Tomohiro Ogawa; Takao Kobayashi; Makoto Mo; Yugo Yamashita
Journal:  J Cardiol       Date:  2022-08-29       Impact factor: 2.974

2.  Incidence, risk factors, and clinical impact of major bleeding in hospitalized patients with COVID-19: a sub-analysis of the CLOT-COVID Study.

Authors:  Junichi Nakamura; Ichizo Tsujino; Sen Yachi; Makoto Takeyama; Yuji Nishimoto; Satoshi Konno; Naoto Yamamoto; Hiroko Nakata; Satoshi Ikeda; Michihisa Umetsu; Shizu Aikawa; Hiroya Hayashi; Hirono Satokawa; Yoshinori Okuno; Eriko Iwata; Yoshito Ogihara; Nobutaka Ikeda; Akane Kondo; Takehisa Iwai; Norikazu Yamada; Tomohiro Ogawa; Takao Kobayashi; Makoto Mo; Yugo Yamashita
Journal:  Thromb J       Date:  2022-09-20
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.