Literature DB >> 33320063

Pulmonary Embolism and Deep Vein Thrombosis in COVID-19: A Systematic Review and Meta-Analysis.

Young Joo Suh1, Hyunsook Hong1, Mickaël Ohana1, Florian Bompard1, Marie-Pierre Revel1, Clarissa Valle1, Alban Gervaise1, Julien Poissy1, Sophie Susen1, Guillaume Hékimian1, Mathieu Artifoni1, Daniel Periard1, Damien Contou1, Julie Delaloye1, Bienvenido Sanchez1, Cheng Fang1, Giorgio Garzillo1, Hasti Robbie1, Soon Ho Yoon1.   

Abstract

Background The association of pulmonary embolism (PE) with deep vein thrombosis (DVT) in patients with coronavirus disease 2019 (COVID-19) remains unclear, and the diagnostic accuracy of D-dimer tests for PE is unknown. Purpose To conduct meta-analysis of the study-level incidence of PE and DVT and to evaluate the diagnostic accuracy of D-dimer tests for PE from multicenter individual patient data. Materials and Methods A systematic literature search identified studies evaluating the incidence of PE or DVT in patients with COVID-19 from January 1, 2020, to June 15, 2020. These outcomes were pooled using a random-effects model and were further evaluated using metaregression analysis. The diagnostic accuracy of D-dimer tests for PE was estimated on the basis of individual patient data using the summary receiver operating characteristic curve. Results Twenty-seven studies with 3342 patients with COVID-19 were included in the analysis. The pooled incidence rates of PE and DVT were 16.5% (95% CI: 11.6, 22.9; I2 = 0.93) and 14.8% (95% CI: 8.5, 24.5; I2 = 0.94), respectively. PE was more frequently found in patients who were admitted to the intensive care unit (ICU) (24.7% [95% CI: 18.6, 32.1] vs 10.5% [95% CI: 5.1, 20.2] in those not admitted to the ICU) and in studies with universal screening using CT pulmonary angiography. DVT was present in 42.4% of patients with PE. D-dimer tests had an area under the receiver operating characteristic curve of 0.737 for PE, and D-dimer levels of 500 and 1000 μg/L showed high sensitivity (96% and 91%, respectively) but low specificity (10% and 24%, respectively). Conclusion Pulmonary embolism (PE) and deep vein thrombosis (DVT) occurred in 16.5% and 14.8% of patients with coronavirus disease 2019 (COVID-19), respectively, and more than half of patients with PE lacked DVT. The cutoffs of D-dimer levels used to exclude PE in preexisting guidelines seem applicable to patients with COVID-19. © RSNA, 2020 Supplemental material is available for this article. See also the editorial by Woodard in this issue.

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Year:  2020        PMID: 33320063      PMCID: PMC7745997          DOI: 10.1148/radiol.2020203557

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


Summary

Pulmonary embolism (PE) and deep vein thrombosis (DVT) occurred in 16.5% and 14.8% of patients with coronavirus disease 2019, respectively, and more than half of patients with PE lacked DVT. ■ The pooled incidence rates of pulmonary embolism (PE) and deep vein thrombosis in patients with coronavirus disease 2019 (COVID-19) were 16.5% and 14.8%, respectively. ■ Greater disease severity (necessitating admittance to the intensive care unit or in critically ill patients: odds ratio, 3.5; 95% CI: 1.9, 6.3; P < .001) and universal screening with CT pulmonary angiography (odds ratio, 5.1; 95% CI: 2.3, 11.5; P < .001) were significantly associated with a higher incidence of PE. ■ D-dimer levels greater than 500 and greater than 1000 μg/L showed high sensitivity (96% and 91%, respectively) but low specificity (10% and 24%, respectively) in the diagnosis of PE in patients with COVID-19.

Introduction

Coronavirus disease 2019 (COVID-19) is an ongoing global public threat, resulting in more than 10 million cumulative cases and more than 500 000 deaths worldwide as of June 30, 2020 (1). Older age and comorbidities are major risk factors for morbidity and mortality in patients with COVID-19 (2). Prothrombotic coagulation abnormalities and thromboembolism are emerging as frequent complications in critically ill patients with COVID-19, and these complications may contribute to morbidity and mortality (3). In particular, pulmonary embolism (PE) accounts for a majority of thromboembolic events in COVID-19 (4), but the association between PE and deep vein thrombosis (DVT) in patients with COVID-19 remains unclear (5). Furthermore, D-dimer levels are recognized as an independent predictor for survival (6) and thromboembolic events in COVID-19 (7), but the diagnostic accuracy of D-dimer tests for PE in patients with COVID-19 is unknown. Therefore, we conducted a meta-analysis of the study-level incidence and characteristics of PE and DVT in patients with COVID-19 in the current literature and evaluated the diagnostic accuracy of D-dimer tests for PE from multicenter individual patient data.

Materials and Methods

Literature Search and Study Selection

This study followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses reporting guidelines, and the study protocol was registered in the International Prospective Register of Systematic Reviews database (registration number: CRD42020196777). On June 15, 2020, we searched MEDLINE, Embase, the Cochrane Library, MedRxiv, and BioRxiv SSRN for studies on COVID-19 that reported the incidence of PE, venous thromboembolism including DVT, or both, and were published in English in 2020 (Appendix E1 [online]). The search strategy was designed by two experienced investigators in consensus (Y.J.S., S.H.Y.; thoracic radiologists with 4 and 8 years of experience with meta-analysis, respectively) and was followed by the literature search. The search was further supplemented by screening the bibliographies of the retrieved articles. First, both reviewers independently screened all the publications on the basis of their titles and abstracts. The studies that satisfied the inclusion criteria were then retrieved for full-text assessments. The following inclusion criteria were applied to determine eligibility: study populations consisting of four or more patients with polymerase chain reaction–proven COVID-19, studies primarily investigating PE or venous thromboembolic events in patients with COVID-19 in vivo, and data described in sufficient detail to extract outcomes. We excluded studies with postmortem evaluations of PE or venous thromboembolic events in COVID-19.

Data Extraction

The two independent reviewers extracted the data from the articles, and any disagreements were resolved by consensus. Extracted data included study characteristics; demographic characteristics, including age and sex; severity of COVID-19 infection (critically ill patients or those admitted to the intensive care unit [ICU] vs noncritically ill patients or those admitted to the general ward); use of anticoagulation at the diagnosis of PE or DVT; the number of CT pulmonary angiographic examinations performed for the diagnosis of PE; and results, including the number of patients with PE and DVT, as well as the location of PE. To evaluate the diagnostic accuracy of D-dimer tests for PE, we contacted the corresponding authors of the included articles for three items (D-dimer levels, whether CT pulmonary angiography was performed, and the presence of PE) in the individual anonymized patient data that the authors had already collected and presented in their study.

Definition of Outcomes

The primary outcome of this meta-analysis was the incidence of PE and DVT in patients with COVID-19. DVT events were confined to lower-extremity DVT. The secondary outcomes were the location of PE (the most proximal luminal filling defect in a patient; central [main or lobar pulmonary artery branch] vs peripheral [segmental or subsegmental branch]) (7) and the diagnostic accuracy of D-dimer test for the diagnosis of PE in patients with COVID-19.

Quality Assessment

The Newcastle-Ottawa Quality Scale for cohort studies was applied to assess the quality of the included studies (8). The scale assigns a maximum of four points for selection (representativeness of the exposed cohort, selection of the nonexposed cohort, ascertainment of exposure, demonstration that outcome of interest was not present at the start of the study), two points for comparability (comparability of cohorts on the basis of the design or analysis controlled for confounders), and three points for exposure or outcome (appropriate assessment of outcome, sufficient period, and adequacy of follow-up period). Studies were independently reviewed by two reviewers (Y.J.S., S.H.Y.), and any discrepancy was resolved through discussion and consensus. A score of six or higher indicated high quality.

Statistical Analysis

Extracted outcomes were pooled by weighted averages using a DerSimonian-Laird random‐effects model. We assessed the extent of statistical heterogeneity between studies using the Cochran Q test and I2 statistics (9,10), and P values less than .1 or I2 statistics greater than 50% were considered to indicate the presence of substantial heterogeneity. To investigate the cause of heterogeneity between studies, a subgroup analysis of the following study characteristics was performed: study design, the severity of COVID-19 infection, and the proportion of patients who underwent CT pulmonary angiography within the study population and use of prophylactic or therapeutic anticoagulation. Meta-regression was performed using a random-effects model to assess the effect of study characteristics on PE incidence, and the cluster robust estimator was used to account for correlations among multiple effect sizes within a study. To analyze the diagnostic performance of D-dimer tests for PE, a summary receiver operating characteristic curve was estimated with a multiple-threshold model, a multilevel random-effects model that considers sensitivity and specificity as functions of the thresholds and accounts for heterogeneity across studies, and the correlation of sensitivity with specificity (11). We used data from patients who underwent CT pulmonary angiography, as the presence or absence of PE could not be certain without CT pulmonary angiography. The optimal cutoffs were estimated by maximizing the Youden index under varying weights for sensitivity. Statistical analysis was performed using software (Comprehensive Meta-Analysis, version 3; Biostat and R, version 3.6.; R Foundation for Statistical Computing). The potential for publication bias was assessed using the Egger test and was drawn as funnel plots (12).

Results

Literature Search

Of the 1646 references identified in the initial database search, 27 studies with 3342 patients with COVID-19 were included in the analysis of the overall incidence of PE and DVT (7,13–38) (Fig 1). Thirteen studies (1896 patients) reported the incidence of both PE and DVT (13,14,20,22,25,27–30,32,33,37,38), whereas nine studies (1022 patients) and five studies (424 patients) reported the incidence of PE only (7,15,19,21,23,24,31,34,36) and DVT only (16–18,26,35), respectively.
Figure 1:

Flowchart of the literature review process. COVID-19 = coronavirus disease 2019, PCR = polymerase chain reaction.

Flowchart of the literature review process. COVID-19 = coronavirus disease 2019, PCR = polymerase chain reaction.

Study Characteristics and Quality Assessment

The characteristics of the included studies are summarized in Table 1. Three of the 27 studies were prospective, and the other 24 were retrospective. The study population comprised patients not in the ICU in four studies, patients in the ICU (or critically ill patients) in 12 studies, and patients with various levels of disease severity in 11 studies. In eight of those 11 studies, data could be separately extracted for patients in the ICU (or critically ill patients) and those not in the ICU (or noncritically ill patients). The use of prophylactic or therapeutic anticoagulation was reported in 24 studies, and no or unknown use of anticoagulation was described in three studies. Among 22 studies that reported the incidence of PE, CT pulmonary angiography was performed to ascertain the presence of PE in the entire study population in seven studies and in only part or an unknown proportion of the study population in 15 studies.
Table 1:

Study Characteristics

Study Characteristics With the Newcastle-Ottawa scale, 14 studies (52%) were classified as being of high quality, and the other 13 (48%) were of low quality. The results of the quality assessment are presented in Table E1 (online).

Incidence of PE and DVT in Patients with COVID-19

The pooled incidence rates of overall PE and DVT were 16.5% (95% CI: 11.6, 22.9) and 14.8% (95% CI: 8.5, 24.5), respectively (Fig 2). Significant interstudy heterogeneity was observed (I2 = 0.93, P < .001 for PE; I2 = 0.94, P < .001 for DVT). In 13 studies (1896 patients) that investigated the incidence of both PE and DVT, the incidence rates were 10.3% (95% CI: 5.7, 17.8; I2 = 0.93; P < .001) and 12.0% (95% CI: 5.9, 22.7; I2 = 0.95; P < .001), respectively. The pooled proportion of positive DVT results in patients with PE was 42% among 88 PE lesions in eight studies (95% CI: 23, 65; I2 = 0.63; P = .008) (Fig E1 [online]). Information on PE location was available for 318 patients in 14 studies (Table E3 [online]): 39.0% (95% CI: 30.0, 48.9; I2 = 0.56; P = .005) were central, and 60.4% (95% CI: 50.3, 69.7; I2 = 0.58; P = .003) were peripheral.
Figure 2a:

Forest plots show pooled incidence rates of (a) pulmonary embolism (PE) (n = 22) and (b) deep vein thrombosis (DVT) (n = 18) in patients with coronavirus disease 2019. The estimated overall incidence rates of PE and DVT were 16.5% (95% CI: 11.6, 22.9) and 14.8% (95% CI: 8.5, 24.5), respectively. Significant interstudy heterogeneity was seen in all groups. CTPA = CT pulmonary angiography, ICU = intensive care unit, RE = random effects. Forest plots show pooled incidence rates of (c, d) both pulmonary embolism (PE) and deep vein thrombosis (DVT) (n = 13) in patients with coronavirus disease 2019. In the 13 studies that reported both PE and DVT, the incidence rates were 10.3% (95% CI: 5.7, 17.8) and 12.0% (95% CI: 5.9, 22.7), respectively. Significant interstudy heterogeneity was seen in all groups. CTPA = CT pulmonary angiography, ICU = intensive care unit, RE = random effects.

Forest plots show pooled incidence rates of (a) pulmonary embolism (PE) (n = 22) and (b) deep vein thrombosis (DVT) (n = 18) in patients with coronavirus disease 2019. The estimated overall incidence rates of PE and DVT were 16.5% (95% CI: 11.6, 22.9) and 14.8% (95% CI: 8.5, 24.5), respectively. Significant interstudy heterogeneity was seen in all groups. CTPA = CT pulmonary angiography, ICU = intensive care unit, RE = random effects. Forest plots show pooled incidence rates of (c, d) both pulmonary embolism (PE) and deep vein thrombosis (DVT) (n = 13) in patients with coronavirus disease 2019. In the 13 studies that reported both PE and DVT, the incidence rates were 10.3% (95% CI: 5.7, 17.8) and 12.0% (95% CI: 5.9, 22.7), respectively. Significant interstudy heterogeneity was seen in all groups. CTPA = CT pulmonary angiography, ICU = intensive care unit, RE = random effects. Forest plots show pooled incidence rates of (a) pulmonary embolism (PE) (n = 22) and (b) deep vein thrombosis (DVT) (n = 18) in patients with coronavirus disease 2019. The estimated overall incidence rates of PE and DVT were 16.5% (95% CI: 11.6, 22.9) and 14.8% (95% CI: 8.5, 24.5), respectively. Significant interstudy heterogeneity was seen in all groups. CTPA = CT pulmonary angiography, ICU = intensive care unit, RE = random effects. Forest plots show pooled incidence rates of (c, d) both pulmonary embolism (PE) and deep vein thrombosis (DVT) (n = 13) in patients with coronavirus disease 2019. In the 13 studies that reported both PE and DVT, the incidence rates were 10.3% (95% CI: 5.7, 17.8) and 12.0% (95% CI: 5.9, 22.7), respectively. Significant interstudy heterogeneity was seen in all groups. CTPA = CT pulmonary angiography, ICU = intensive care unit, RE = random effects. Forest plots show pooled incidence rates of (a) pulmonary embolism (PE) (n = 22) and (b) deep vein thrombosis (DVT) (n = 18) in patients with coronavirus disease 2019. The estimated overall incidence rates of PE and DVT were 16.5% (95% CI: 11.6, 22.9) and 14.8% (95% CI: 8.5, 24.5), respectively. Significant interstudy heterogeneity was seen in all groups. CTPA = CT pulmonary angiography, ICU = intensive care unit, RE = random effects. Forest plots show pooled incidence rates of (c, d) both pulmonary embolism (PE) and deep vein thrombosis (DVT) (n = 13) in patients with coronavirus disease 2019. In the 13 studies that reported both PE and DVT, the incidence rates were 10.3% (95% CI: 5.7, 17.8) and 12.0% (95% CI: 5.9, 22.7), respectively. Significant interstudy heterogeneity was seen in all groups. CTPA = CT pulmonary angiography, ICU = intensive care unit, RE = random effects. Forest plots show pooled incidence rates of (a) pulmonary embolism (PE) (n = 22) and (b) deep vein thrombosis (DVT) (n = 18) in patients with coronavirus disease 2019. The estimated overall incidence rates of PE and DVT were 16.5% (95% CI: 11.6, 22.9) and 14.8% (95% CI: 8.5, 24.5), respectively. Significant interstudy heterogeneity was seen in all groups. CTPA = CT pulmonary angiography, ICU = intensive care unit, RE = random effects. Forest plots show pooled incidence rates of (c, d) both pulmonary embolism (PE) and deep vein thrombosis (DVT) (n = 13) in patients with coronavirus disease 2019. In the 13 studies that reported both PE and DVT, the incidence rates were 10.3% (95% CI: 5.7, 17.8) and 12.0% (95% CI: 5.9, 22.7), respectively. Significant interstudy heterogeneity was seen in all groups. CTPA = CT pulmonary angiography, ICU = intensive care unit, RE = random effects. The incidence rates of PE and DVT according to study characteristics are presented in Table 2. Prospective studies reported a higher incidence of PE but a lower incidence of DVT than did retrospective studies. Studies with anticoagulation had a lower incidence of PE than did those with no or unknown anticoagulation. Studies of patients admitted to the ICU or critically ill patients reported higher incidence rates of PE and DVT than did those of patients who were not admitted to the ICU or those of patients with various levels of disease severity (PE: 24.7% [95% CI: 18.6, 32.1] vs 10.5% [95% CI: 5.1, 20.2]; DVT: 21.2% [95% CI: 11.1, 36.8] vs 7.4% [95% CI: 3.2, 16.2]). Studies in which CT pulmonary angiography was performed in all patients showed a higher incidence of PE than did those in which CT pulmonary angiography was performed in only some of the patients or in an unknown proportion (30.2% [95% CI: 21.0, 41.3] vs 11.3% [95% CI: 6.7, 18.4]).
Table 2:

Pooled Incidence of PE and DVT according to Study Characteristics

Pooled Incidence of PE and DVT according to Study Characteristics In a univariable meta-regression analysis, study design and use of anticoagulation were not associated with an increased incidence of PE (P = .25 and P = .38, respectively) (Table 3). However, greater disease severity (P = .0016) and a higher proportion of patients undergoing CT pulmonary angiography (P = .002) were significantly associated with the higher incidence of PE. When multiple study-level characteristics were adjusted, a higher incidence of PE was associated with a study population of patients admitted to the ICU or who were critically ill (odds ratio, 3.5; 95% CI: 1.9, 6.3; P < .001) and universal CT pulmonary angiography screening in the study population (odds ratio, 5.1; 95% CI: 2.3, 11.5; P < .001).
Table 3:

Meta-Regression of Incidence of PE

Meta-Regression of Incidence of PE

Diagnostic Performance of D-dimer for PE in Patients with COVID-19

In total, 11 studies provided data regarding D-dimer levels and the presence of PE as assessed with CT pulmonary angiography in their study population (567 patients) (7,14,15,19–22,24,33,36,38). D-dimer levels were higher in patients with PE (median, 7625 μg/L; n = 218) than in those without PE (median, 1750 μg/L; n = 349). The summary receiver operating characteristic curve yielded an area under the receiver operating characteristic curve of 0.737 (Fig 3), suggesting cutoffs of D-dimer levels for PE diagnosis under varying weights for sensitivity and specificity. For example, the cutoff was 4453.2 μg/L using the same weight for sensitivity and specificity (sensitivity, 62% [95% CI: 49, 73]; specificity, 76% [95% CI: 65, 84]) (Table E4 [online]). With cutoff values of 500 and 1000 μg/L, the sensitivity of D-dimer tests for PE was 96% (95% CI: 93, 97) and 91% (95% CI: 86, 94), respectively, and its specificity was 10% (95% CI: 7, 14) and 24% (95% CI: 18, 32) (Table 4). The negative predicted value of the D-dimer level was estimated as 95% (95% CI: 89, 100) in patients not in the ICU and as 88% (95% CI: 78, 97) in patients in the ICU by using a cutoff value of 500 μg/L, and it was predicted as 96% (95% CI: 92, 99) in patients not in the ICU and as 89% (95% CI: 83, 94) in patients admitted to the ICU by using a cutoff of 1000 μg/L.
Figure 3:

Summary receiver operating characteristic curve shows the diagnostic performance of D-dimer tests for pulmonary embolism in patients with coronavirus disease 2019. Dots of different colors indicate separate data of 11 studies.

Table 4:

Estimated Sensitivities, Specificities, and Predictive Values at Specific D-dimer Values

Summary receiver operating characteristic curve shows the diagnostic performance of D-dimer tests for pulmonary embolism in patients with coronavirus disease 2019. Dots of different colors indicate separate data of 11 studies. Estimated Sensitivities, Specificities, and Predictive Values at Specific D-dimer Values

Publication Bias

The funnel plots did not show significant publication bias for the incidence of PE and DVT (P = .22 and P = .36) (Fig 4).
Figure 4a:

Funnel plots used to detect publication bias. Each circle represents a study included in the analysis. Probability values of asymmetry from the Egger test are shown. (a) Incidence of pulmonary embolism (PE). (b) Incidence of deep vein thrombosis (DVT).

Funnel plots used to detect publication bias. Each circle represents a study included in the analysis. Probability values of asymmetry from the Egger test are shown. (a) Incidence of pulmonary embolism (PE). (b) Incidence of deep vein thrombosis (DVT). Funnel plots used to detect publication bias. Each circle represents a study included in the analysis. Probability values of asymmetry from the Egger test are shown. (a) Incidence of pulmonary embolism (PE). (b) Incidence of deep vein thrombosis (DVT).

Discussion

This meta-analysis demonstrated that the pooled incidence rates of pulmonary embolism (PE) and deep vein thrombosis (DVT) in patients with coronavirus disease 2019 (COVID-19) were 16.5% and 14.8%, respectively, and substantial interstudy heterogeneity was present. The multivariable meta-regression analysis demonstrated that greater disease severity and universal screening with CT pulmonary angiography were significantly associated with a higher incidence of PE (P < .001 for both). Furthermore, 42.4% of patients with PE had DVT, and PE was more frequently located in the peripheral portion of the pulmonary arteries than in the central portion (60.4% vs 39.0%). D-dimer levels greater than 500 μg/L and greater than 1000 μg/L showed high sensitivity (96% and 91%, respectively) but low specificity (10% and 24%, respectively) for the diagnosis of PE in patients with COVID-19. Although PE has been reported to occur frequently in patients with COVID-19 and to be associated with a poor prognosis (27), its actual incidence is unknown. The reported incidence of PE ranged from 0.7% to 57.0% in the studies included in this meta-analysis. This variation in the reported incidence can be assumed to reflect differences across studies in the disease severity of the study population and the frequency of performing diagnostic imaging studies, such as CT pulmonary angiography. Accordingly, the multivariable meta-analysis revealed that greater disease severity and universal screening with CT pulmonary angiography were significantly associated with a higher incidence of PE (P < .001 for both). In this meta-analysis, the pooled incidence of PE was 24.7% in patients admitted to the ICU, although it was high (10.5%) even in patients not admitted to the ICU. The PE incidence was higher than the reported value in patients with non–COVID-19 viral pneumonia who were admitted to the ICU or who had acute respiratory distress syndrome (range, 1.3%–7.5%) (25,33). Besides the increased risk of venous thromboembolism in acutely ill patients, another hypothesis—in situ immunothrombosis—has been proposed to explain the high incidence of PE in patients with COVID-19 (39), as previous autopsy studies found multiple thrombi in small to medium pulmonary arteries (40–43). In a recent systematic review, microthrombosis was frequently observed in lung histopathologic analysis of the population with COVID-19 (57%), which was higher than that in the population with H1N1 influenza (24%) (44). This hypothesis is supported by the results of a previous study, which reported that the PE phenotype in patients with COVID-19 was different from the PE phenotype in patients without COVID-19 pneumonia; specifically, in patients with COVID-19, the thrombotic lesions were more distributed in the peripheral arteries of the lung, and the total clot burden was lower (5). Similarly, the results of our meta-analysis support the hypothesis that in situ thrombosis partly contributes to prothrombotic events in COVID-19 because DVT was present in only 42.4% of patients with PE, which was lower than the usual prevalence (60%) of DVT in patients with PE (45), and more than half of PEs were located in the distal pulmonary arteries. Because most CT pulmonary angiographic examinations are performed based on clinical suspicion rather than systematic screening, the incidence of PE may be somewhat underestimated, especially in cases of small segmental or subsegmental PE (27). Therefore, D-dimer levels play a crucial role in screening and the ultimate diagnosis of PE (14). The elevation of D-dimer levels in the COVID-19 population may stem from prothrombotic coagulopathy or pulmonary microvascular thrombosis beyond the resolution of CT pulmonary angiography. Because D-dimer levels tend to be elevated even in patients with COVID-19 without PE, D-dimer cutoffs for PE screening can be a substantial concern in the care of patients with COVID-19. In our study, the conventional cutoff values (500 or 1000 μg/L) showed high sensitivity (96% and 91, respectively), which is comparable to the sensitivity of D-dimer levels in patients without COVID-19 (46). In fact, higher cutoff values than those conventionally used (>1000 μg/L) reduced the sensitivity, limiting the clinical application of D-dimer levels as a screening examination to rule out PE. Our results suggest that the conventional cutoffs of D-dimer levels in preexisting guidelines can be applicable to the COVID-19 population for PE screening that serves as a basis for subsequent CT pulmonary angiographic examinations (46,47). However, considering the low diagnostic performance (area under the curve, 0.737) of D-dimer tests and the relatively lower negative predictive value in patients admitted to the ICU, a combination of pretest clinical probability assessment and age-adjusted D-dimer cutoff values could improve the diagnostic yield of D-dimer levels (48,49). In all but three of the included studies, patients received anticoagulation with a prophylactic or therapeutic dose. Generally, it is recommended that critically ill patients who require ICU care receive prophylactic anticoagulation because they are considered to be at high thrombotic risk as a result of extended periods of immobilization, mechanical ventilation, and vascular injury or surgery (50). In consideration of the high frequency of venous thromboembolism and the positive effect of heparin for reducing mortality in patients with COVID-19, systematic pharmacologic thromboprophylaxis is recommended for all patients who require hospital admission for COVID-19, even if they do not receive care in the ICU (51). However, the high incidence of PE or DVT despite prophylactic anticoagulation may suggest that a more reinforced thromboprophylaxis regimen could reduce venous thromboembolism and improve the prognosis of patients with COVID-19 (22). Our study had several limitations. First, a substantial proportion (48%) of the included studies were of low quality, probably because they intended to promptly report the significance of PE in COVID-19, a rapidly spreading condition with substantial public health implications. Nevertheless, to our knowledge, our meta-analysis was the largest one to investigate the incidence of PE and DVT in the COVID-19 population. Second, the incidence of PE and DVT reported herein could be an overestimate relative to the entire COVID-19 population, as the included studies preferentially analyzed patients with severe disease and our literature search based on the search term thrombosis/embolism might have resulted in a low likelihood of including studies with zero incidence. Third, the effect of the dose or regimen of anticoagulation was not investigated because this information was often unavailable or insufficient in the included studies. Fourth, we analyzed baseline D-dimer levels at admission, and changes in D-dimer levels could not be considered in the analysis. Fourth, the prognostic impact of PE was not assessed in this meta-analysis because we focused on the incidence of PE or DVT and the diagnostic accuracy and cutoff of D-dimer levels for PE diagnosis. In conclusion, the pooled incidence rates of pulmonary embolism (PE) and deep vein thrombosis (DVT) in patients with coronavirus disease 2019 (COVID-19) were high, at 16.5% and 14.8%, respectively, and exceeded 20% in patients admitted to the intensive care unit. PE was confined to the peripheral pulmonary arteries in more than half of patients with PE, and DVT was found in less than half of the patients with PE. The D-dimer cutoffs used to exclude PE (500 and 1000 μg/L) in the preexisting guidelines seem to be applicable to patients with COVID-19.
  95 in total

Review 1.  COVID-19 Vasculopathy: Mounting Evidence of an Indirect Mechanism of Endothelial Injury.

Authors:  Roberto F Nicosia; Giovanni Ligresti; Nunzia Caporarello; Shreeram Akilesh; Domenico Ribatti
Journal:  Am J Pathol       Date:  2021-05-23       Impact factor: 4.307

Review 2.  Imaging of COVID-19: An update of current evidences.

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Journal:  Diagn Interv Imaging       Date:  2021-05-25       Impact factor: 7.242

3.  Increased procoagulant platelet levels are predictive of death in COVID-19.

Authors:  Mohamad H Khattab; Calin I Prodan; Andrea S Vincent; Chao Xu; Kellie R Jones; Sharanjeet Thind; Meheroz Rabadi; Shubhada Mithilesh; Eleanor Mathews; Leslie Guthery; George L Dale; Angelia C Kirkpatrick
Journal:  Geroscience       Date:  2021-06-09       Impact factor: 7.713

4.  Practical clinical and radiological models to diagnose COVID-19 based on a multicentric teleradiological emergency chest CT cohort.

Authors:  Paul Schuster; Amandine Crombé; Hubert Nivet; Alice Berger; Laurent Pourriol; Nicolas Favard; Alban Chazot; Florian Alonzo-Lacroix; Emile Youssof; Alexandre Ben Cheikh; Julien Balique; Basile Porta; François Petitpierre; Grégoire Bouquet; Charles Mastier; Flavie Bratan; Jean-François Bergerot; Vivien Thomson; Nathan Banaste; Guillaume Gorincour
Journal:  Sci Rep       Date:  2021-04-26       Impact factor: 4.379

Review 5.  Mechanisms of Immunothrombosis in Vaccine-Induced Thrombotic Thrombocytopenia (VITT) Compared to Natural SARS-CoV-2 Infection.

Authors:  Dennis McGonagle; Gabriele De Marco; Charles Bridgewood
Journal:  J Autoimmun       Date:  2021-05-19       Impact factor: 7.094

6.  Thromboembolic Risk in Hospitalized and Nonhospitalized COVID-19 Patients: A Self-Controlled Case Series Analysis of a Nationwide Cohort.

Authors:  Frederick K Ho; Kenneth K C Man; Mark Toshner; Colin Church; Carlos Celis-Morales; Ian C K Wong; Colin Berry; Naveed Sattar; Jill P Pell
Journal:  Mayo Clin Proc       Date:  2021-07-16       Impact factor: 7.616

7.  Pulmonary embolism severity before and during the COVID-19 pandemic.

Authors:  Vicky Tilliridou; Rachael Kirkbride; Rebecca Dickinson; James Tiernan; Guo Liang Yong; Edwin Jr van Beek; John T Murchison; Michelle Claire Williams
Journal:  Br J Radiol       Date:  2021-06-09       Impact factor: 3.039

8.  Routine screening for pulmonary embolism in COVID-19 patients at the emergency department: impact of D-dimer testing followed by CTPA.

Authors:  Daniël A Korevaar; Ilayda Aydemir; Peter I Bonta; Josien van Es; Maartje W Minnema; Kaoutar Azijli; Ludo F Beenen; Jarom Heijmans; Nick van Es; Mohanad Al Masoudi; Lilian J Meijboom; Saskia Middeldorp; Prabath W Nanayakkara; Rick I Meijer
Journal:  J Thromb Thrombolysis       Date:  2021-06-23       Impact factor: 2.300

Review 9.  COVID-19 is a systemic vascular hemopathy: insight for mechanistic and clinical aspects.

Authors:  David M Smadja; Steven J Mentzer; Michaela Fontenay; Mike A Laffan; Maximilian Ackermann; Julie Helms; Danny Jonigk; Richard Chocron; Gerald B Pier; Nicolas Gendron; Stephanie Pons; Jean-Luc Diehl; Coert Margadant; Coralie Guerin; Elisabeth J M Huijbers; Aurélien Philippe; Nicolas Chapuis; Patrycja Nowak-Sliwinska; Christian Karagiannidis; Olivier Sanchez; Philipp Kümpers; David Skurnik; Anna M Randi; Arjan W Griffioen
Journal:  Angiogenesis       Date:  2021-06-28       Impact factor: 9.596

Review 10.  Covid and Cardiovascular Diseases: Direct and Indirect Damages and Future Perspective.

Authors:  Giacomo Ruzzenenti; Alessandro Maloberti; Valentina Giani; Marco Biolcati; Filippo Leidi; Massimiliano Monticelli; Enzo Grasso; Iside Cartella; Matteo Palazzini; Laura Garatti; Nicola Ughi; Claudio Rossetti; Oscar Massimiliano Epis; Cristina Giannattasio
Journal:  High Blood Press Cardiovasc Prev       Date:  2021-06-26
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