scholarly journals Prevalence and Impact of Coagulation Dysfunction in COVID-19 in China: A Meta-Analysis

2020 ◽  
Vol 120 (11) ◽  
pp. 1524-1535 ◽  
Author(s):  
Shanen Jin ◽  
Yiyang Jin ◽  
Bai Xu ◽  
Jun Hong ◽  
Xianghong Yang

Abstract Background The aim of this meta-analysis is to assess the prevalence of coagulation dysfunction in Chinese COVID-19 patients and to determine the association of coagulopathy with the severity and prognosis of COVID-19. Methods A meta-analysis of the prevalence of different abnormal coagulation indicators in COVID-19 patients in China was performed. The difference of coagulation indicators and the incidence of DIC were compared between severe cases and nonsevere cases as well as nonsurvivors and survivors, respectively. Results A total of 22 Chinese studies involving 4,889 confirmed COVID-19 inpatients were included. The average D-dimer value of COVID-19 patients is 0.67 µg/mL (95% confidence interval [CI]: 0.56–0.78), and 29.3% (95% CI: 20.1–38.5%) of patients showed elevated D-dimer values. Severe patients had significantly higher D-dimer levels and prolonged prothrombin time (PT) compared with nonsevere patients. Nonsurvivors had significantly higher D-dimer levels, prolonged PT, and decreased platelet count compared with survivors. In total, 6.2% (95% CI: 2.6–9.9%) COVID-19 patients were complicated by disseminated intravascular coagulation (DIC), in which the log risk ratio in nonsurvivors was 3.267 (95% CI: 2.191–4.342, Z = 5.95, p < 0.05) compared with that in survivors. Conclusion The prevalence of coagulopathy in Chinese COVID-19 inpatients is high, and both the abnormal coagulation indicators and DIC are closely associated with the severity and poor prognosis of these COVID-19 patients. Therefore, attention should be paid to coagulation dysfunction in COVID-19 patients. Closely monitoring of coagulation indicators and application of appropriate anticoagulation may improve the prognosis of COVID-19 inpatients in China.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Alberto Polimeni ◽  
Isabella Leo ◽  
Carmen Spaccarotella ◽  
Annalisa Mongiardo ◽  
Sabato Sorrentino ◽  
...  

AbstractCoronavirus disease 2019 (COVID-19) is a highly contagious disease that appeared in China in December 2019 and spread rapidly around the world. Several patients with severe COVID-19 infection can develop a coagulopathy according to the ISTH criteria for disseminated intravascular coagulopathy (DIC) with fulminant activation of coagulation, resulting in widespread microvascular thrombosis and consumption of coagulation factors. We conducted a meta-analysis in order to explore differences in coagulopathy indices in patients with severe and non-severe COVID-19. An electronic search was performed within PubMed, Google Scholar and Scopus electronic databases between December 2019 (first confirmed Covid-19 case) up to April 6th, 2020. The primary endpoint was the difference of D-dimer values between Non-Severe vs Severe disease and Survivors vs Non-Survivors. Furthermore, results on additional coagulation parameters (platelet count, prothrombin time, activated partial thromboplastin time) were also analyzed. The primary analysis showed that mean d-dimer was significantly lower in COVID-19 patients with non-severe disease than in those with severe (SMD − 2.15 [− 2.73 to − 1.56], I2 98%, P < 0.0001). Similarly, we found a lower mean d-dimer in Survivors compared to Non-Survivors (SMD − 2.91 [− 3.87 to − 1.96], I2 98%, P < 0.0001). Additional analysis of platelet count showed higher levels of mean PLT in Non-Severe patients than those observed in the Severe group (SMD 0.77 [0.32 to 1.22], I2 96%, P < 0.001). Of note, a similar result was observed even when Survivors were compared to Non-Survivors (SMD 1.84 [1.16 to 2.53], I2 97%, P < 0.0001). Interestingly, shorter mean PT was found in both Non-Severe (SMD − 1.34 [− 2.06 to − 0.62], I2 98%, P < 0.0002) and Survivors groups (SMD − 1.61 [− 2.69 to − 0.54], I2 98%, P < 0.003) compared to Severe and Non-Survivor patients. In conclusion, the results of the present meta-analysis demonstrate that Severe COVID-19 infection is associated with higher D-dimer values, lower platelet count and prolonged PT. This data suggests a possible role of disseminated intravascular coagulation in the pathogenesis of COVID-19 disease complications.


2020 ◽  
Author(s):  
Alberto Polimeni ◽  
Isabella Leo ◽  
Carmen Spaccarotella ◽  
Annalisa Mongiardo ◽  
Sabato Sorrentino ◽  
...  

Abstract Coronavirus Disease 2019 (COVID-19) is a highly contagious disease that appeared in China in December 2019. Several patients with severe COVID-19 infection can develop a coagulopathy according to the ISTH-criteria for disseminated intravascular coagulopathy (DIC). We conducted a meta-analysis of all available studies on COVID-19 to explore the impact of coagulopathy on severe illness and mortality. An electronic search was performed within PubMed, Google Scholar and Scopus electronic databases. The primary endpoint was the difference of D-dimer values between Non-Severe vs Severe disease and Survivors vs Non-Survivors. The primary analysis showed that mean d-dimer is significantly higher in COVID-19 patients with severe disease than in those without (SMD -2.15 [-2.73 to -1.56], I2 98%, P <0.0001). Additional analysis of platelet count showed lower levels of mean PLT in Severe patients than those observed in the Non-Severe patients (SMD 0.77 [0.32 to 1.22], I2 96%, P <0.001). Interestingly, longer mean PT was found in Severe group (SMD -1.34 [-2.06 to -0.62], I2 98%, P <0.0002) compared to Non-Severe group. In conclusion, the results of the present meta-analysis, the largest and most comprehensive to date, demonstrate that Severe COVID-19 infection is associated with higher D-dimer values, lower platelet count and prolonged PT.


2021 ◽  
Vol 8 (02) ◽  
pp. 85-90
Author(s):  
Shivakumarswamy Udasimath ◽  
Nagesha K.R ◽  
Kumar Naik H.K. ◽  
Puruhotham R

BACKGROUND Throughout the world, millions of people are affected by corona virus disease 2019 (Covid-19). 16 % of infected Covid-19 people may need hospitalisation. Patients with severe respiratory or systemic manifestations are at increased risk of venous thromboembolism. Thrombocytopenia, elevated D-Dimer, prolonged prothrombin time, and features of disseminated intravascular coagulation laboratory findings are included in initial reports on Covid-19 patients’ blood samples. METHODS This cross-sectional study was conducted at pathology laboratory, Hassan Institute of Medical Sciences, Hassan, between June 01, 2020 to August 29, 2020. 4096 patients’ blood samples with Covid-19 positivity in Covid Hospital of Hassan Institute of Medical Sciences, Hassan, were analysed in detail and statistical reports were derived from the fresh samples for platelet count, prothrombin time and D-Dimer. The results were compared with severity of infection. RESULTS Analysis of 4096 Covid-19 blood sample results, revealed significant abnormal mean values in critical cases for platelet count in which it was severely decreased (35,000 cells / cumm), prothrombin time was prolonged for more than 180 seconds and D-Dimer values were 3.74 microgram per ml. CONCLUSIONS As the pandemic is spreading, we highlight the importance of laboratory and clinical findings of coagulation disorders in Covid-19 infected patients. To prevent death of Covid-19 infected patients, noticing the laboratory findings related to coagulation will help in early detection of critical patients. This is very important for relevant treatment and may prevent mortality in Covid-19 infected patients. KEYWORDS Coagulation, Coronavirus, Venous Thromboembolism (VTE), Prothrombin Time, Disseminated intravascular coagulation (DIC)


2021 ◽  
Vol 50 (4) ◽  
pp. 325-335 ◽  
Author(s):  
Saikat Mitra ◽  
Ryan Ruiyang Ling ◽  
Isabelle Xiaorui Yang ◽  
Wynne Hsing Poon ◽  
Chuen Seng Tan ◽  
...  

Introduction: Coronavirus disease 2019 (COVID-19)-induced coagulopathy (CIC) has been widely reported in the literature. However, the spectrum of abnormalities associated with CIC has been highly variable. Methods: We conducted a systematic review of the literature (until 1 June 2020) to assess CIC and disease severity during the early COVID-19 pandemic. Primary outcomes were pooled mean differences in platelet count, D-dimer level, prothrombin time, activated partial thromboplastin time (aPTT) and fibrinogen level between non-severe and severe patients, stratified by degree of hypoxaemia or those who died. The risk factors for CIC were analysed. Random-effects meta-analyses and meta-regression were performed using R version 3.6.1, and certainty of evidence was rated using the Grading of Recommendation, Assessment, Development, and Evaluation approach. Results: Of the included 5,243 adult COVID-19 patients, patients with severe COVID-19 had a significantly lower platelet count, and higher D-dimer level, prothrombin time and fibrinogen level than non-severe patients. Pooled mean differences in platelet count (-19.7×109/L, 95% confidence interval [CI] -31.7 to -7.6), D-dimer level (0.8μg/mL, 95% CI 0.5–1.1), prothrombin time (0.4 second, 95% CI 0.2–0.6) and fibrinogen level (0.6g/L, 95% CI 0.3–0.8) were significant between the groups. Platelet count and D-dimer level were significant predictors of disease severity on meta-regression analysis. Older men had higher risks of severe coagulopathic disease. Conclusion: Significant variability in CIC exists between non-severe and severe patients, with platelet count and D-dimer level correlating with disease severity. Routine monitoring of all coagulation parameters may help to assess CIC and decide on the appropriate management. Keywords: Coagulation parameters, coagulopathy, D-dimer, platelets


2020 ◽  
Author(s):  
Xianghui Zhou ◽  
Zhipeng Cheng ◽  
Lili Luo ◽  
Ying Zhu ◽  
Wenyi Lin ◽  
...  

Abstract Background: Coronavirus disease 2019 (COVID-19) is a novel infectious disease, with significant morbidity and mortality. This meta-analysis is to evaluate the prevalence of disseminated intravascular coagulation (DIC) in COVID-19 patients and to determine the association of DIC with the severity and prognosis of COVID-19.Methods: We searched the PubMed, EMBASE, and China National Knowledge Infrastructure (CNKI) database until August 12, 2020. The meta-analysis was performed using Stata 16.0 software.Results: 15 studies were included in our meta-analysis. The pooled analysis revealed that the incidence of COVID-19 patients developing DIC was 4% (95%: 2%-5%, P<0.001). In addition, DIC was more likely to occur in the death group (Log OR = 2.4, 95% CI: 1.58-3.21, P<0.001) with statistical significance.Conclusions: DIC is associated with the severity and poor prognosis of COVID-19 patients. Therefore, attention should be paid to coagulation dysfunction in COVID-19 patients. Monitoring of coagulation indicators may improve the prognosis of COVID-19 inpatients.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 1412-1412
Author(s):  
Priya Patel ◽  
Amanda Walborn ◽  
Debra Hoppensteadt ◽  
Michael Mosier ◽  
Matthew T. Rondina ◽  
...  

Abstract Introduction: Sepsis is a severe systemic inflammatory response to infection that manifests with widespread inflammation as well as endothelial and coagulation dysfunction that may lead to hypotension, organ failure, shock, and death. Disseminated intravascular coagulation (DIC) is a complication of sepsis involving systemic activation of the fibrinolytic and coagulation pathways that can lead to multi-organ dysfunction, thrombosis, and bleeding, with a two-fold increase in mortality. Elevated levels of nucleosomes released from apoptotic cells have been detected in the blood of severe sepsis patients. Procalcitonin (PCT), a propeptide of calcitonin, is a marker of inflammation of infectious origins. Both nucleosomes and PCT are associated with the inflammatory and infectious processes that play a key role in the pathogenesis of sepsis and DIC. No single biomarker or laboratory test can effectively diagnose DIC; accordingly, the International Society on Thrombosis and Hemostasis (ISTH) has developed a diagnostic algorithm based on clinical parameters that uses platelet count, prothrombin time (PT), fibrin related marker (D-dimer) and fibrinogen levels to calculate a DIC score. This study lays the groundwork for the development of a diagnostic algorithm using several markers of inflammation and infection and DIC score as parameters in assessing severity of sepsis-associated coagulopathy (SAC) in a clinical setting. Materials and Methods: De-identified serial plasma samples from patients diagnosed with sepsis-associated coagulopathy (n=137) were obtained from the University of Utah under an IRB approved protocol. The citrated plasma samples were collected from adult patients in the ICU upon admission and ICU days 4 and 8 In addition, plasma samples from healthy volunteers (n=50) were purchased from George King Biomedical (Overland, KS). Platelet count, prothrombin time, International normalized ratio (INR), D-dimer and fibrinogen levels were used to assign International Society of Thrombosis and Hemostasis (ISTH) DIC scores. Plasma samples were analyzed for procalcitonin (PCT) (Abcam, Cambridge, MA) and extracellular nucleosomes (Roche Diagnostics, Indianapolis, IN)) using a commercially available ELISA methods. In addition, markers of inflammation including interleukin 6 (IL-6), interleukin 8 (IL-8), interleukin 10 (IL-10) and tumor necrosis factor α (TNF α) were measure using the Biochip Array from Randox (Crumlin, County Antrim, UK). Results: DIC scores were calculated using the ISTH criteria and categorized into sepsis without DIC, non-overt DIC, and overt DIC. The levels of PCT were elevated in all three groups compared to normal (p<0.05). In addition, the patients with overt DIC had a higher level of PCT on day 0 and 4, compared to patients with non-overt DIC or sepsis alone. On day 8, the overt and non-overt DIC patients had similar levels of PCT. PCT data is shown in Table 1 (mean ± SEM). Nucleosome levels were also measured and compared between groups. Similarly, markers of inflammation, including IL-6, IL-8, IL-10 and TNF α were higher in the overt DIC group compared to the other groups on day 0 and day 4. By day 8, most of the patients initially diagnosed with overt DIC had transitioned into the non-overt group or died prior to the blood draw. The PCT levels correlated with nucleosomes, IL-6, IL-8, IL-10 and TNF α levels (p<0.05, Spearman r>0.20). Conclusions: This study demonstrates the diagnostic and prognostic value of profiling several biomarkers of inflammation and infection in patients with sepsis-associated DIC to assess the severity of illness. Elevated levels of PCT, IL-6, IL-8, IL-10 and TNF-α were observed in most patients with sepsis and DIC. Additionally, the levels of these markers show significant positive correlations to each other and to DIC score. Currently, no single biomarker can be used to confirm the diagnosis of DIC in patients with sepsis. This study provides an initial framework in developing a multiparametric profile of biomarkers in DIC for diagnostic and prognostic purposes. Disclosures No relevant conflicts of interest to declare.


2020 ◽  
Vol 9 (7) ◽  
pp. 2244 ◽  
Author(s):  
Matteo Nicola Dario Di Minno ◽  
Ilenia Calcaterra ◽  
Roberta Lupoli ◽  
Antonio Storino ◽  
Giorgio Alfredo Spedicato ◽  
...  

Background: Complications of coronavirus disease 2019 (COVID-19) include coagulopathy. We performed a meta-analysis on the association of COVID-19 severity with changes in hemostatic parameters. Methods: Data on prothrombin time (PT), activated partial thromboplastin time (aPTT), D-Dimer, platelets (PLT), or fibrinogen in severe versus mild COVID-19 patients, and/or in non-survivors to COVID-19 versus survivors were systematically searched. The standardized mean difference (SMD) was calculated. Results: Sixty studies comparing 5487 subjects with severe and 9670 subjects with mild COVID-19 documented higher PT (SMD: 0.41; 95%CI: 0.21, 0.60), D-Dimer (SMD: 0.67; 95%CI: 0.52, 0.82), and fibrinogen values (SMD: 1.84; 95%CI: 1.21, 2.47), with lower PLT count (SMD: −0.74; 95%CI: −1.01, −0.47) among severe patients. Twenty-five studies on 1511 COVID-19 non-survivors and 6287 survivors showed higher PT (SMD: 0.67; 95%CI: 0.39, 0.96) and D-Dimer values (SMD: 3.88; 95%CI: 2.70, 5.07), with lower PLT count (SMD: −0.60, 95%CI: −0.82, −0.38) among non-survivors. Regression models showed that C-reactive protein values were directly correlated with the difference in PT and fibrinogen. Conclusions: Significant hemostatic changes are associated with COVID-19 severity. Considering the risk of fatal complications with residual chronic disability and poor long-term outcomes, further studies should investigate the prognostic role of hemostatic parameters in COVID-19 patients.


2020 ◽  
Vol 26 ◽  
pp. 107602962096486
Author(s):  
Xu Chen ◽  
Qinghua Wang ◽  
Min Xu ◽  
Chengbin Li

To discuss the coagulation dysfunction in COVID-19 patients and to find new biomarkers to separate severe COVID-19 patients from mild ones. We use a retrospective analysis of 88 COVID-19 patients, and compare the coagulation function between severe and mild groups. We found the prothrombin time (PT), thrombin time (TT), D-dimer were significantly higher in the severe group ( P < 0.05), and the highest area under the curve (AUC) is 0.91 for D-dimer, while the AUC of PT and TT were 0.80 and 0.61 respectively. We identified that D-dimer has a better value in predicting patients who are likely to develop into severe cases, with the sensitivity and specificity were 84.4% and 88.8%, respectively. D-dimer may be a good biomarker to separate the severe COVID-19 patients from the mild ones.


2021 ◽  
Vol 8 ◽  
Author(s):  
Yayun Li ◽  
Yuhao Deng ◽  
Lin Ye ◽  
Huiyan Sun ◽  
Songtao Du ◽  
...  

It is not clear whether D-dimer can be an independent predictor of coronavirus disease 2019 (COVID-19) mortality, and the cut-off of D-dimer for clinical use remains to be determined. Therefore, a comprehensive analysis is still necessary to illuminate the clinical significance of plasma D-dimer in COVID-19 mortality. We searched PubMed, Embase, Cochrane Library, and Scopus databases until November 2020. STATA software was used for all the statistical analyses. The identifier of systematic review registration was PROSPERO CRD42020220927. A total of 66 studies involving 40,614 COVID-19 patients were included in our meta-analysis. Pooled data showed that patients in high D-dimer group had poor prognosis than those in low D-dimer group [OR = 4.52, 95% CI = (3.61, 5.67), P &lt; 0.001; HR = 2.81, 95% CI = (1.85, 4.27), P &lt; 0.001]. Sensitivity analysis, pooled data based on different effect models and the Duval and Tweedie trim-and-fill method did not change the conclusions. Subgroup analyses stratified by different countries, cutoffs, sample size, study design, and analysis of OR/HR still keep consistent conclusions. D-dimer was identified as an independent predictor for COVID-19 mortality. A series of values including 0.5 μg/ml, 1 μg/ml, and 2 μg/ml could be determined as cutoff of D-dimer for clinic use. Measurement and monitoring of D-dimer might assist clinicians to take immediate medical actions and predict the prognosis of COVID-19.


2020 ◽  
Author(s):  
Shuangshuang Li ◽  
Pengcheng Du ◽  
Jian Dong ◽  
Jian Zhou ◽  
Zaiping Jing

Abstract ObjectiveTo clarify the relation between D-dimer and in-hospital mortality of acute aortic dissection, a meta-analysis was performed by summarizing all relevant studies.MethodsAll related studies were retrieved and identified in PubMed and Embase databases. Precise data was extracted from standard articles, such as sample size, odds ratio, and 95% confidence interval. Then pooled odds ratio (OR) accompanying 95% confidence interval (CI) were calculated using random model. Study heterogeneity examined by Q text and I2 statistic. Sensitivity analysis was performed to assess the stability of the results. Publication bias was assessed by Egger’s test. ResultsTen studies (1954 patients) that met the inclusion criteria were included in this review. The results suggested a link between D-dimer and in-hospital mortality of acute aortic dissection (OR=1.17 95%CI=1.08-1.27). With higher of cutoff value of D-dimer, the closer for the mortality of AAD, with ORs (95% CIs) ranging from 1.13(1.09–1.16) to 4.12 (1.56–10.93). The relationship was also found in six Type A AAD studies without heterogeneity (OR=1.13 95%CI=1.08-1.18). According to sensitivity analysis, the link was stable after exclusion of one study at a time. Publication bias was find among studies (P=0.02). ConclusionsThe result of this meta-analysis indicated that D-dimer maybe a predictor in-hospital mortality of acute aortic dissection patients. What’s more, the higher of cutoff value of D-dimer, the stronger for the predictive ability.


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