Literature DB >> 32246317

Difference of coagulation features between severe pneumonia induced by SARS-CoV2 and non-SARS-CoV2.

Shiyu Yin1, Ming Huang2, Dengju Li3, Ning Tang4.   

Abstract

Severe coronavirus disease 2019 (COVID-19) is commonly complicated with coagulopathy, the difference of coagulation features between severe pneumonia induced by SARS-CoV2 and non-SARS-CoV2 has not been analyzed. Coagulation results and clinical features of consecutive patients with severe pneumonia induced by SARS-CoV2 (COVID group) and non-SARS-CoV2 (non-COVID group) in Tongji hospital were retrospectively analyzed and compared. Whether patients with elevated D-dimer could benefit from anticoagulant treatment was evaluated. There were 449 COVID patients and 104 non-COVID patients enrolled into the study. The 28-day mortality in COVID group was approximately twofold of mortality in non-COVID group (29.8% vs. 15.4%, P = 0.003), COVID group were older (65.1 ± 12.0 vs. 58.4 ± 18.0, years, P < 0.001) and with higher platelet count (215 ± 100 vs. 188 ± 98, ×109/L, P = 0.015), comparing to non-COVID group. The 28-day mortality of heparin users were lower than nonusers In COVID group with D-dimer > 3.0 μg/mL (32.8% vs. 52.4%, P = 0.017). Patients with severe pneumonia induced by SARS-CoV2 had higher platelet count than those induced by non-SARS-CoV2, and only the former with markedly elevated D-dimer may benefit from anticoagulant treatment.

Entities:  

Keywords:  Coagulopathy; Coronavirus disease 2019; D-dimer; Severe pneumonia

Mesh:

Substances:

Year:  2021        PMID: 32246317      PMCID: PMC7124128          DOI: 10.1007/s11239-020-02105-8

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


Highlights

Patients with severe pneumonia induced by SARS-CoV2 had higher platelet count than those induced by non-SARS-CoV2. In patients infected by SARS-CoV2 but not non-SARS-Cov2, those with markedly elevated D-dimer may benefit from anticoagulant treatment.

Introduction

As recent studies described [1-3], severe coronavirus disease 2019 (COVID-19) is commonly complicated with coagulopathy, markedly elevated D-dimer was associated with poor prognosis of severe COVID-19. The effect of SARS-CoV2 infection on pulmonary coagulation and fibrinolysis is considered to be regulated by various proinflammatory cytokines, and similar to pneumonia induced by other pathogens [4, 5]. We aimed to compare the coagulation parameters between severe COVID-19 and severe pneumonia induced by other pathogens through retrospective analysis, this may be helpful for choosing appropriate treatment on coagulopathy of COVID-19.

Methods

Patients with severe COVID-19 (COVID group)

Consecutive patients with severe COVID-19 admitted to Tongji Hospital of Huazhong University of Science and Technology in Wuhan from January 1 to February 13, 2020, were retrospectively enrolled. The medications and outcomes (28-day mortality) were monitored up to March 13, 2020. The diagnosis of COVID-19 was confirmed by RNA detection of the SARS-CoV-2.

Patients with severe pneumonia induced by other pathogens (non-COVID group)

Consecutive patients with severe pneumonia admitted to intensive care unit of Tongji Hospital from January 1 to October 1, 2019, were retrospectively enrolled. The infection was confirmed by evidence of etiology or imaging. Exclusion criteria were hospital stay < 7 days, lack of information about coagulation parameters and medications, and age < 18 years for both of COVID and Non-COVID groups. A retrospective review of the characteristics of these patients was performed through the electronic medical record system of our hospital. This study was approved by the Ethics Committee of Tongji Hospital (Wuhan, China). The severe COVID and non-COVID groups were defined as meeting any one of following items, according to the Diagnosis and Treatment Plan of COVID-19 suggested by National Health Commission of China [6]: Respiratory rate ≥ 30 breaths /min; Arterial oxygen saturation ≤ 93% at rest; PaO2/FiO2 ≤ 300 mmHg. As the sepsis-induced coagulopathy (sic.) score system including prothrombin time (PT), platelet count and sequential organ failure assessment (SOFA) has been developed by international society on thrombosis and haemostasis (ISTH) for early recognition and specific treatment of coagulopathy in sepsis patients [7]. Meanwhile, in our previous study [3], higher D-dimer and PT on admission were associated with poor prognosis in patients with COVID-19. Hence these three coagulation parameters D-dimer, PT and platelet count were included in this study and the results were recorded at the time the patients meeting the definition of severe COVID or non-COVID. As an indirect marker of coagulation activation, whether patients with elevated D-dimer could benefit from anticoagulant treatment was evaluated. Anticoagulant treatment was defined as receiving unfractionated heparin (UFH) or low molecular weight heparin (LMWH) for 7 days or longer [8], which was the most commonly used anticoagulant therapy for severe pneumonia in our hospital. The coagulation tests, including PT and D-dimer were detected using a STA-R MAX coagulation analyzer and original reagents (Diagnostica Stago, Saint-Denis, France). The platelet counts were analyzed by Sysmex XE-2100 haematology analyzer (Sysmex, Kobe, Japan). Normally and abnormally distributed quantitative variables were compared using the Student’s t test and the Mann–Whitney U test, respectively. Categorical variables were compared using the chi-squared test. The results were given as the mean ± standard deviation, median (interquartile range), or number (percentage), wherever appropriate. A P value of < 0.05 was considered statistically significant. Data were analyzed using SPSS 21.0 for Windows (SPSS Inc., Chicago, IL, USA).

Results and discussion

Four hundred and fourty-nine patients classified as COVID group, and 104 patients classified as non-COVID group were enrolled into the study. The clinical characteristics, coagulation results and 28-day mortality between COVID and non-COVID groups were compared (Table 1). The chronic underlying diseases within COVID and non-COVID groups mainly including hypertension, diabetes, heart diseases and lung diseases. The 28-day mortality in COVID group was approximately twofold of mortality in non-COVID group (29.8% vs. 15.4%, P = 0.003), and COVID group were older (65.1 ± 12.0 vs. 58.4 ± 18.0, years, P < 0.001) and with higher platelet count (215 ± 100 vs 188 ± 98, ×109/L, P = 0.015), comparing to non-COVID group.
Table 1

Clinical and coagulation characteristics of COVID and non-COVID groups

ParametersNormal rangeCOVID (n = 449 )Non-COVID (n = 104) P values
Age (years)65.1 ± 12.058.4 ± 18.0< 0.001
Sex ratio (male/female)268/18172/320.073
With underlying diseases272 (60.6%)64 (61.5%)0.768
Receiving heparin99 (22.0%)22 (21.2%)0.842
28-day mortality134 (29.8%)16 (15.4%)0.003
Coagulation parameters
PT (sec)11.5–14.515.2 ± 5.016.2 ± 5.20.068

Platelet count

(× 109/L)

125–350215 ± 100188 ± 980.015
D-dimer (μg/mL)< 0.51.94 (0.90–9.44)2.52 (1.40–5.81)0.140
Clinical and coagulation characteristics of COVID and non-COVID groups Platelet count (× 109/L) Ninety-nine (22.0%) patients of COVID group received heparin treatment for at least 7 days, in which 94 received LMWH (40–60 mg enoxaparin/day) and 5 received UFH (10,000–15,000 U/day); 22 (21.2%) patients of non-COVID group received heparin treatment, in which 20 received LMWH (40–60 mg enoxaparin/day) and 2 received UFH (10,000–15,000 U/day). No anticoagulants other than heparin had been used for 7 days or longer in our patients. All patients received antiviral and appropriate supportive therapies after admission. No difference on the 28-day mortality was found between heparin users and nonusers in COVID group (30.3% vs. 29.7%, P = 0.910), also in non-COVID group (13.6% vs. 15.9%, P = 0.798). The association between heparin treatment and outcome in stratified patients according to D-dimer result were evaluated (Fig. 1). When D-dimer exceeding 3.0 μg/mL (sixfold of upper limit of normal, 6 ULN), significantly lower mortality in heparin users than nonusers was found in COVID group (32.8% vs. 52.4%, P = 0.017). However, no difference on mortality between heparin users than nonusers has been found in non-COVID group when being stratified by D-dimer.
Fig. 1

Paired bar chart showing the mortality between heparin users and nonusers in patients with severe pneumonia induced by SARS-CoV2 (a COVID group) and non-SARS-CoV2 (b non-COVID group) stratified by D-dimer level. D-D, D-dimer; ULN, upper limit of normal (0.5 μg/mL); *P < 0.05 between heparin users and nonusers

Paired bar chart showing the mortality between heparin users and nonusers in patients with severe pneumonia induced by SARS-CoV2 (a COVID group) and non-SARS-CoV2 (b non-COVID group) stratified by D-dimer level. D-D, D-dimer; ULN, upper limit of normal (0.5 μg/mL); *P < 0.05 between heparin users and nonusers The dysfunction of endothelial cells induced by infection results in excess thrombin generation and fibrinolysis shutdown, which indicated a hypercoagulable state in patient with infection [9, 10]. In addition, hypoxia existed in severe pneumonia can stimulate thrombosis through not only increasing blood viscosity, but also a hypoxia-inducible transcription factor-dependent signaling pathway [11]. Hence, coagulopathy may be found in quite a lot patients with severe pneumonia. In this study, platelet count of COVID group was significantly higher than that of non-COVID group, perhaps due to the reactively increased thrombopoietin following pulmonary inflammation [12], this might mean more severe inflammation reaction and hypercoagulability in COVID group, and platelet count may not be a sensitive marker for coagulopathy of COVID-19. LMWH was the most commonly used anticoagulant in our hospital for preventing DIC and VTE in patients, also because of its anti-inflammatory effect [13]. Another reason is that other anticoagulants, such as recombinant soluble thrombomodulin or antithrombin, is unavailable in China yet. However, the effectiveness of anticoagulant therapy for sepsis-associated DIC is still controversial [14, 15] our study also suggests that anticoagulant may not benefit to the unselected patients whether in COVID or non-COVID group. Although it has been confirmed that markedly elevated D-dimer was associated with poor prognosis in severe pneumonia [3, 5], only COVID group with elevated D-dimer (> 6 ULN) could benefit from heparin treatment in our study, this might due to the more obvious hypercoagulability in COVID group, and heterogeneity of coagulation status induced by various pathogens in non-COVID group. There were several limitations in current study. First, potential selection bias exists in this retrospective study, for instance, LMWH might tend to be used in patients with targeted symptom or medical history, which we have not controlled. Second, the influence of other therapies on these patients has not been evaluated. Nonetheless, this study included a large critical patient populations, we believe that the results of current study still has certain clinical significance. In conclusion, patients with severe pneumonia induced by SARS-CoV2 had higher platelet count than those induced by non-SARS-CoV2, and only the former with markedly elevated D-dimer may benefit from anticoagulant therapy mainly with LMWH. Further prospective studies are needed to confirm these results.
  14 in total

Review 1.  Platelet "first responders" in wound response, cancer, and metastasis.

Authors:  David G Menter; Scott Kopetz; Ernest Hawk; Anil K Sood; Jonathan M Loree; Paolo Gresele; Kenneth V Honn
Journal:  Cancer Metastasis Rev       Date:  2017-06       Impact factor: 9.264

Review 2.  Coagulation and sepsis.

Authors:  Marcel Levi; Tom van der Poll
Journal:  Thromb Res       Date:  2016-11-19       Impact factor: 3.944

Review 3.  The stimulation of thrombosis by hypoxia.

Authors:  Neha Gupta; You-Yang Zhao; Colin E Evans
Journal:  Thromb Res       Date:  2019-07-15       Impact factor: 3.944

Review 4.  Pulmonary coagulopathy as a new target in therapeutic studies of acute lung injury or pneumonia--a review.

Authors:  Marcus J Schultz; Jack J Haitsma; Haibo Zhang; Arthur S Slutsky
Journal:  Crit Care Med       Date:  2006-03       Impact factor: 7.598

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.  Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia.

Authors:  Ning Tang; Dengju Li; Xiong Wang; Ziyong Sun
Journal:  J Thromb Haemost       Date:  2020-03-13       Impact factor: 5.824

7.  Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study.

Authors:  Nanshan Chen; Min Zhou; Xuan Dong; Jieming Qu; Fengyun Gong; Yang Han; Yang Qiu; Jingli Wang; Ying Liu; Yuan Wei; Jia'an Xia; Ting Yu; Xinxin Zhang; Li Zhang
Journal:  Lancet       Date:  2020-01-30       Impact factor: 79.321

8.  Low-dose heparin as treatment for early disseminated intravascular coagulation during sepsis: A prospective clinical study.

Authors:  Xiao-Li Liu; Xiao-Zhi Wang; Xiu-Xiang Liu; Dong Hao; Yasaman Jaladat; Feng Lu; Ting Sun; Chang-Jun Lv
Journal:  Exp Ther Med       Date:  2013-12-31       Impact factor: 2.447

9.  New criteria for sepsis-induced coagulopathy (SIC) following the revised sepsis definition: a retrospective analysis of a nationwide survey.

Authors:  Toshiaki Iba; Marcello Di Nisio; Jerrold H Levy; Naoya Kitamura; Jecko Thachil
Journal:  BMJ Open       Date:  2017-09-27       Impact factor: 2.692

10.  Acute fibrinolysis shutdown occurs early in septic shock and is associated with increased morbidity and mortality: results of an observational pilot study.

Authors:  Felix Carl Fabian Schmitt; Vasil Manolov; Jakob Morgenstern; Thomas Fleming; Stefan Heitmeier; Florian Uhle; Mohammed Al-Saeedi; Thilo Hackert; Thomas Bruckner; Herbert Schöchl; Markus Alexander Weigand; Stefan Hofer; Thorsten Brenner
Journal:  Ann Intensive Care       Date:  2019-01-30       Impact factor: 6.925

View more
  172 in total

1.  Blue Lungs in Covid-19 Patients: A Step beyond the Diagnosis of Pulmonary Thromboembolism using MDCT with Iodine Mapping.

Authors:  Virginia Pérez Dueñas; María Allona Krauel; Emilio Agrela Rojas; Maria Teresa Ramírez Prieto; Laura Díez Izquierdo; Ulpiano López de la Guardia; Isabel Torres Sánchez
Journal:  Arch Bronconeumol       Date:  2020-08-28       Impact factor: 4.872

Review 2.  COVID-19 associated thromboinflammation of renal capillary: potential mechanisms and treatment.

Authors:  Xiaojing Chen; Chengyuan Yu; Haijiao Jing; Chunxu Wang; Xinyi Zhao; Jinming Zhang; Shuoqi Zhang; Huan Liu; Rujuan Xie; Jialan Shi
Journal:  Am J Transl Res       Date:  2020-12-15       Impact factor: 4.060

Review 3.  Unclear Issues Regarding COVID-19.

Authors:  Aycan Yuksel; Dilek Karadogan; Canan Gunduz Gurkan; Fatma Tokgoz Akyil; Zehra Nur Toreyin; Feride Marim; Huseyin Arikan; Tugba Sismanlar Eyuboglu; Nagehan Emiralioglu; Irem Serifoglu; Elif Develi; Selman Celik; Umran Ozden Sertcelik; Tugba Ramasli Gursoy; Mehmet Fatih Elversli; Asli Oncel; Berrin Er; Ali Firincioglulari; Fatma Esra Gunaydin; Hilal Ozakinci; Neslihan Ozcelik; Dorina Esendagli; Asena Aydin; Neslihan Kose; Merve Ercelik; Pinar Yildiz Gulhan; Ethem Yildiz; Ilim Irmak; Bilge Yilmaz Kara; Selcuk Gurz; Fatma Gulsum Karakas; Metin Akgun
Journal:  Eurasian J Med       Date:  2020-06

4.  Massive Pulmonary Embolism and Deep Vein Thrombosis in COVID-19 Pneumonia: Two Case Reports.

Authors:  Siddharth Chopra; Jasmeet Kaur; Mehrvaan Kaur
Journal:  Cureus       Date:  2021-05-04

Review 5.  Multisystem Imaging Manifestations of COVID-19, Part 1: Viral Pathogenesis and Pulmonary and Vascular System Complications.

Authors:  Margarita V Revzin; Sarah Raza; Robin Warshawsky; Catherine D'Agostino; Neil C Srivastava; Anna S Bader; Ajay Malhotra; Ritesh D Patel; Kan Chen; Christopher Kyriakakos; John S Pellerito
Journal:  Radiographics       Date:  2020-10       Impact factor: 5.333

6.  Association of Hematologic biomarkers and their combinations with disease severity and mortality in COVID-19- an Indian perspective.

Authors:  Mukta Pujani; Sujata Raychaudhuri; Nikhil Verma; Harnam Kaur; Shivani Agarwal; Mitasha Singh; Manjula Jain; R K Chandoke; Kanika Singh; Dipti Sidam; Varsha Chauhan; Aparna Singh; Khushbu Katarya
Journal:  Am J Blood Res       Date:  2021-04-15

Review 7.  COVID-19 - Toward a comprehensive understanding of the disease.

Authors:  Maciej M Kowalik; Piotr Trzonkowski; Magdalena Łasińska-Kowara; Andrzej Mital; Tomasz Smiatacz; Miłosz Jaguszewski
Journal:  Cardiol J       Date:  2020-05-07       Impact factor: 2.737

Review 8.  Do Certain Biomarkers Predict Adverse Outcomes in Coronavirus Disease 2019?

Authors:  Hiba Narvel; Anam Sayed; Nida Narvel; Shreyas Yakkali; Tasleem Katchi
Journal:  J Clin Med Res       Date:  2021-04-27

9.  Rectus Sheath Hematoma Due to Low Molecular Weight Heparin in a COVID-19 Patient in Turkey.

Authors:  Tolga Kalayci
Journal:  Cureus       Date:  2021-05-06

10.  Fibrinolysis Shutdown and Thrombosis in a COVID-19 ICU.

Authors:  Christina Creel-Bulos; Sara C Auld; Mark Caridi-Scheible; Nicholas A Barker; Sarah Friend; Manila Gaddh; Christine L Kempton; Cheryl L Maier; Fadi Nahab; Roman Sniecinski
Journal:  Shock       Date:  2021-03-01       Impact factor: 3.454

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.