Literature DB >> 33347372

Elevated D-Dimer Levels Predict a Poor Outcome in Critically Ill Patients.

Yuhuko Ichkawa1, Hideo Wada1,2, Minoru Ezaki1, Motoko Tanaka1, Shinya Hiromori1, Katsuya Shiraki1,2, Isao Moritani3, Akitaka Yamamoto4, Haruhiko Tashiro4, Hideto Shimpo5, Motomu Shimaoka6.   

Abstract

D-dimer is a biomarker of thrombosis and recently been considered to predict a poor outcome in patients with infectious diseases. Plasma D-dimer levels were measured in critically ill patients to examine their relationship with the poor outcome. The plasma D-dimer levels were markedly higher in the patients with various underlying disease especially venous thromboembolism in comparison to those without severe underlying diseases. The plasma D-dimer levels in non-survivors were significantly higher than those in survivors. In a receiver operating characteristic analysis, the area under the curve was high for the disseminated intravascular coagulation (DIC) score, the D-dimer value, and the prothrombin time-international normalize ratio (PT-INR). Adequate cut-off values for predicting the outcome were 3 as follows: DIC score, 3 points; D-dimer, 4.2 mg/L; and PT-INR, 1.08. D-dimer, which is a biomarker for thrombosis, is increased in various underlying diseases and predicts a poor outcome.

Entities:  

Keywords:  D-dimer; critically ill patients; poor outcome; thrombosis

Mesh:

Substances:

Year:  2020        PMID: 33347372      PMCID: PMC7755937          DOI: 10.1177/1076029620973084

Source DB:  PubMed          Journal:  Clin Appl Thromb Hemost        ISSN: 1076-0296            Impact factor:   2.389


Introduction

Fibrin-related markers (FRMs) such as fibrinogen and fibrin degradation products (FDPs), D-dimer and soluble fibrin (SF) are considered useful for diagnosing thrombotic diseases such as venous thromboembolism (VTE)[1,2] and disseminated intravascular coagulation (DIC).[3,4] Although elevated FRM levels can be used to predict the incidence of DVT after THA or TKA without anticoagulants,[5] their utility in predicting postoperative VTE is lost after the administration of fondaparinux or edoxaban.[6-8] FRM levels can also be used to diagnose VTE; however, adequate cut-off values for predicting thrombosis have not been established. A D-dimer assay is used as an initial screening test in the emergency department to exclude PE in Europe and North America.[9] The purpose of this test, which has a high negative predictive value (NPV), is to provide a fast and cost-effective way to triage patients with suspected PE for imaging tests.[9,10] It was recently reported that mild D-dimer elevation suggested an increased risk of subclinical and post-operative VTE.[6] In addition, elevated D-dimer levels have been reported to suggest massive bleeding in patients undergoing major operations.[8] Several studies[11-13] on coronavirus disease 2019 (COVID-19) reported that D-dimer elevation might be associated with a high risk of a poor prognosis. As D-dimer elevation has attracted attention as a prognostic biomarker for COVID-19 pneumonia[13,14] and due to its association with thrombosis,[15] it has also been considered as a high-risk factor in critically ill patients. Critically ill disease includes infectious disease, trauma, heart failure, thrombotic disease such as cerebral thrombosis, acute myocardial infarction (AMI), venous thromboembolism (VTE), intracranial bleeding, and other conditions. The behavior of D-dimer levels in the above diseases is interesting and predictive of the outcome. In this study, plasma D-dimer levels were examined in critically ill patients with various diseases and the relationship between D-dimer levels and the outcomes of critically ill patients was investigated.

Material and Methods

The study population included patients with the following conditions who were managed at Mie Prefectural General Medical Center; no severe underlying disease (NSUD), n = 37; infectious disease, n = 90; cerebral thrombosis, n = 49; heart failure, n = 33; digestive disease, n = 26; hematological disease, n = 26; heat stroke, n = 22; trauma, n = 21; aortic aneurysm, n 19; solid cancer, n = 17; intracranial bleeding, n = 17; AMI, n = 15; cardiopulmonary arrest (CPA), n = 15; VTE, n = 11; other diseases, n = 75 (Table 1). Cerebral thrombosis, AMI and VTE were considered thrombotic diseases.
Table 1.

Subjects.

AgeSex (F: M)D-dimer (mg/L)APTT (seconds)PT-INRPLT (×109/L)CRPWBC (×106/L)Death
IFN78.0(63.0-83.0)45:453.6***(1.4-8.9)32.0*(28.5-36.0)1.09***(1.03-1.19)21.1(15.6-28.9)9.7***(3.3-17.0)10500***(7600-14700)10(11.1%)
CT73.0(64.0-84.0)17:321.2**(0.5-2.1)29.0(27.0-33.0)0.97(0.92-1.01)20.7(17.8-36.0)0.18(0.06-0.56)8000(6225-9375)3(6%)
HF80(75.5-90.0)11:213.6***(1.3-8.0)31.0(28.3-34.8)1.09***(0.99-1.07)18.3(15.0-29.4)0.54***(0.19-2.49)7400(5050-33325)2(6%)
DD68.5(54.0-83.0)8:181.6***(0.5-3.6)28.0*(25.0-30.0)0.98(0.93-1.60)24.3(19.6-27.9)0.29*(0.10-0.98)10100**(6700-12700)1(4%)
HD70.0(51.0-83.0)13:131.0*(0.5-2.4)30.5(27.0-34.0)1.02*(0.94-1.07)13.7***(5.5-19.1)0.17(0.02-2.86)5000**(3800-7900)0(0%)
HS72.0(42.0-88.0)12:101.10*(0.5-2.7)29.0(27.0-31.3)0.97(0.94-1.29)24.2(20.6-28.1)0.33(0.05-1.13)7650(6100-10200)1(5%)
Trauma69.0(44.3-81.5)11:10 8.3***(3.6-41.8)28.0(26.0-34.3)0.96(0.92-1.07)24.0(16.1-32.0)0.44**(0.15-1.22)10100*(6900-11525)2(10%)
AA74.0(54.5-78.8)9:105.3***(2.9-14.4)29.5(26.9-40.0)1.06***(1.00-1.30)19.2(17.1-23.1)0.29**(0.14-2.02)8100(5200-9475)1(5%)
SC 71.0(51.8-78.0)10:74.3***(2.7-34.8)31.0(27.3-37.8)1.09**(0.95-1.38)20.9(13.5-28.5)2.56***(0.30-7.68)9100*(8350-11250)5(29%)
IB73.0(51.8-82.5)6:111.6***(0.6-3.8)27.0(25.0-33.5)0.99(0.94-1.04)22.9(19.9-28.5)0.18(0.08-0.74)9100(5800-16650)5(29%)
AMI76.0(67.0-90.0)7:81.1*(0.5-2.7)32.0(29.0-38.0)1.03(0.94-1.18)19.1(14.0-24.9)0.65*(0.08-1.51)8300(5625-9875)1(7%)
CPA83.0(74.5-87.8)4:1136.8***(11.0-74.7)58.0***(42.8-81.8)1.49***(1.24-1.65)9.6***(6.7-15.0)0.59**(0.30-3.3)10200*(7000-14875)14(93%)
VTE62.0(56.3-70.3)4:711.1***(0.9-15.8)34.0*(31.3-37.0)1.05**(0.98-1.12)23.2(19.2-26.4)0.90*(0.07-6.01))6400(6200-7925)0(0%)
Others66.0(38.3-81.0)34:411.6***(0.6-3.7)28.5(27.0-31.0)0.97(0.94-1.04)22.4(18.5-29.2)0.29*(0.07-1.13)8300(5475-10750)3(4%)
NSUD61.0(47.5-74.0)20:170.5(0.5-1.1)29.0(28.0-32.0)0.96(0.94-1.00)25.8(20.3-29.0)0.09(0.04-0.32)7000(6000-9225)0(0%)

NSUD, no severe underlying disease; INF, infection; CT, cerebral thrombosis; HF, heart failure; DD, digestive disease; HD, hematological disease; HS; heat stroke; AA, aortic aneurysm; SC, solid cancer; IB, intracranial bleeding; CPA, cardiopulmonary arrest.

***, p < 0.001 in comparison with NSUD; **, p < 0.01 in comparison with NSUD; *, p < 0.05 in comparison with NSUD.

Subjects. NSUD, no severe underlying disease; INF, infection; CT, cerebral thrombosis; HF, heart failure; DD, digestive disease; HD, hematological disease; HS; heat stroke; AA, aortic aneurysm; SC, solid cancer; IB, intracranial bleeding; CPA, cardiopulmonary arrest. ***, p < 0.001 in comparison with NSUD; **, p < 0.01 in comparison with NSUD; *, p < 0.05 in comparison with NSUD. The plasma D-dimer, fibrinogen and c-reactive protein (CRP) levels, activated partial thromboplastin time (APTT), prothrombin time (PT)-international normalized ratio (INR), white blood cell (WBC) count, hemoglobin (Hb) and platelet count were measured in 470 critically ill patients, when they were admitted to the intensive-care unit or when outpatients first arrived at our hospital. The D-dimer and fibrinogen levels and APTT and PT-INR were measured using an automatic coagulation analyzer (CS-5100, Sysmex, Kobe, Japan) using LIASAUTO D-dimer Neo, Thrombocheck Fib (L) and Thrombocheck APTT-SLA T (Sysmex), and Thromborel S (Siemens Healthcare Diagnostics Products GmbH, Malvern, USA). The normal median (25th-75th percentile) value and negative predictive values for DVT of D-dimer were 0.30 μg/ml (0.10-0.50 μg/ml) and 1.2 μg/ml, respectively.[16] The WBC count, Hb level and platelet count were measured by a full automatic blood cell analyzer XN-3000 (Sysmex) and CRP was measured using a Hitachi Labospect 006 (Hitachi, Tokyo, Japan) using a CRP-Latex X2-Seiken (DenkaSeiken Co, Niigata, Japan). The DIC score was determined using the scoring system established by the Japanese Ministry of Health, Labor and Welfare (JMHLW).[3] The study protocol (2019-K9) was approved by the Human Ethics Review Committee of Mie Prefectural General Medical Center, and informed consent was obtained from each participant. This study was carried out in accordance with the principles of the Declaration of Helsinki.

Statistical Analyses

The data are expressed as the median (25th-75th percentiles). The significance of differences between groups was examined using the Mann-Whitney U test. P values of <0.05 were considered to indicate a statistically significance. All of the statistical analyses were performed using the Stat-Flex software program (version 6; Artec Co Ltd, Osaka, Japan). The cut-off values were examined by a receiver operating characteristic (ROC) analysis.

Results

The plasma D-dimer levels in patients with the following conditions were significantly higher than those in patients with NSUD: infectious disease (p < 0.001), thrombotic disease (p < 0.001), heart failure (p < 0.001), digestive disease (p < 0.001), hematological disease (p < 0.05), heat shock (p < 0.05), trauma (p < 0.001), aortic aneurysm (p < 0.001), solid cancer (p < 0.001), intracranial bleeding (p < 0.001), CPA (p < 0.001) and other diseases (p < 0.001) (Figure 1 and Table 1). Among patients with thrombotic disease, the plasma D-dimer levels in the patients with the following conditions were significantly higher than those in patients with NSUD: VTE (p < 0.001), cerebral thrombosis (p < 0.01) and AMI (P < 0.05) (Figure 2). The APTTs in patients with the following conditions were significantly longer in comparison to those with NSUD: CPA (p < 0.001), infectious disease (p < 0.05) and VTE (p < 0.05) (Table 1). The PT-INRs in patients with the following conditions were significantly higher in comparison to those with NSUD: infectious disease (p < 0.001), heart failure (p < 0.001), aortic aneurysm (p < 0.001), CPA (p < 0.001), VTE (p < 0.001), solid cancer (p < 0.01) and hematological disease (p < 0.05). The Platelet counts in patients with hematological disease (p < 0.001) and those with CPA (p < 0.001) were significantly lower in comparison to those with NSUD. The CRP levels in patients with the following conditions were significantly higher than those in patients with NSUD: infectious disease (p < 0.001), heart failure (p < 0.001), solid cancer (p < 0.001), trauma (p < 0.01), aortic aneurysm (p < 0.01), CPA (p < 0.01), digestive disease (p < 0.05), AMI (p < 0.05), VTE (p < 0.05) and others (p < 0.05). The WBC counts in patients with the following conditions were significantly higher than those in patients with NSUD: infectious disease (p < 0.001), digestive disease (p < 0.01), trauma (p < 0.05), solid cancer (p < 0.05) and CPA (p < 0.05). In contrast WBC counts in the patients with hematological disease and significantly lower in comparison to those with NSUD (p < 0.01).
Figure 1.

Plasma D-dimer levels in various underlying diseases. NSUD, no severe underlying disease; INF, infection; TH, thrombotic disease; HF, heart failure; DD, digestive disease; HD, hematological disease; Hs, heat stroke; AA, aortic aneurysm; SC, solid cancer; IB, Intracranial bleeding; CPA, cardiopulmonary arrest. *** p < 0.001 in comparison to NSUD; * p < 0.05 in comparison to NSUD.

Figure 2.

Plasma D-dimer levels in various underlying diseases. NSUD, no severe underlying disease; CT, cerebral thrombosis; AMI, acute myocardial infarction; VTE, venous thromboembolism; TH, thrombotic disease. ***, p < 0.001 in comparison to NSUD; **, p < 0.01 in comparison to NSUD; *, p < 0.05 in comparison to NSUD.

Plasma D-dimer levels in various underlying diseases. NSUD, no severe underlying disease; INF, infection; TH, thrombotic disease; HF, heart failure; DD, digestive disease; HD, hematological disease; Hs, heat stroke; AA, aortic aneurysm; SC, solid cancer; IB, Intracranial bleeding; CPA, cardiopulmonary arrest. *** p < 0.001 in comparison to NSUD; * p < 0.05 in comparison to NSUD. Plasma D-dimer levels in various underlying diseases. NSUD, no severe underlying disease; CT, cerebral thrombosis; AMI, acute myocardial infarction; VTE, venous thromboembolism; TH, thrombotic disease. ***, p < 0.001 in comparison to NSUD; **, p < 0.01 in comparison to NSUD; *, p < 0.05 in comparison to NSUD. Age (p < 0.001), PT-INR (p < 0.001), WBC (p < 0.01), and the DIC score were significantly higher in non-survivors than survivors. In non-survivors, the APTT (p < 0.001) was significantly longer, the D-dimer (p < 0.001) and CRP (p < 0.01) levels were significantly higher, and the Hb levels (p < 0.01) and platelet counts (p < 0.001) were significantly lower in comparison to survivors (Table 2).
Table 2.

Hemostatic Markers in Survivors and Non-Survivors.

SurvivorsNon-survivors
Age (years)71.0 (51.0-83.0)79.0 (73.0-84.3)P < 0.001
Sex193: 22817: 32
APTT (sec)30.0 (27.0-34.0)36.0 (29.0-54.5)P < 0.001
PT-INR1.00 (0.95-1.09)1.19 (1.07-1.61)P < 0.001
Fibrinogen (g/L)3 (2.48-3.73)2.83 (1.85-3.57)Not significant
D-dimer (mg/L)1.6 (0.6-4.7)17.0 (4.20-39.6)P < 0.001
CRP0.44 (0.09-3.54)1.62 (0.29-8.86)P < 0.01
White blood cell count (×108/L)83 (60-112)97 (69-148)P < 0.05
Hemoglobin (g/L)125 (111-143)111 (968-136)P < 0.01
Platelet count (× 109/L)218 (171-283)178 (99-230)P < 0.001
DIC score1.0 (0.0-2.0)5.0 (2.0-7.0)P < 0.001
Hemostatic Markers in Survivors and Non-Survivors. In a ROC analysis of non-survivors versus survivors, the highest area under the curve (AUC) value was 0.903 in DIC score, 0.803 in D-dimer and 0.749 in PT-INR. The sensitivity and odds ratio were also high for the JMHLW DIC score, D-dimer, and PT-INR ( Table 3). The sensitivity and odds ratio were low for the platelet count and fibrinogen levels. The following cut-off value were considered adequate: JMHLW DIC score, 3 points; and D-dimer, 4.2 mg/L according to the ROC analysis (Figure 3). The distribution of plasma D-dimer levels between survivors and non-survivors is shown in Figure 4. These data showed little overlap with D-dimer ≥ 4.2μg/ml between survivors and non-survivors.
Table 3.

The Receiver Operating Characteristics Analysis of Several Markers for Predicting a Poor Outcomes in Critically ill Patients.

Cutoff valueAUCSensitivityOdds ratio
Age77.0 years0.6610.6302.926
APTT31.2 seconds0.6850.6463.238
PT-INR1.080.7490.7216.651
Fibrinogen2.77g/L0.5870.5561.549
D-dimer4.2 mg/L0.8030.7297.369
CRP0.9090.6230.6042.342
White blood cell count90 × 108/L0.6060.5832.162
Hemoglobin1210.6250.6082.431
Platelet count201 × 109/L0.6710.5902.082
DIC score3 points0.9030.80013.45

The cut-off points was set as the points at which the sensitivity and specificity curves crossed according to a receiver operating characteristics analysis. APTT, activated partial thromboplastin time; PT, prothrombin time; CRP, C-reactive protein; DIC, disseminated intravascular coagulation; AUC, area under the curve.

Figure 3.

The receiver operating characteristics analysis of the DIC score (A) and D-dimer levels (B) for predicting the outcomes in critically ill patients. DIC, disseminated intravascular coagulation; AUC, area under the curve. The cut-off point was set as the point at which the sensitivity and specificity curves crossed according to a receiver operating characteristics analysis. The DIC score was determined using the scoring system established by the Japanese Ministry Health Labor and Welfare.

Figure 4.

Distribution of plasma D-dimer levels between survivors (A) and non-survivors (B).

The Receiver Operating Characteristics Analysis of Several Markers for Predicting a Poor Outcomes in Critically ill Patients. The cut-off points was set as the points at which the sensitivity and specificity curves crossed according to a receiver operating characteristics analysis. APTT, activated partial thromboplastin time; PT, prothrombin time; CRP, C-reactive protein; DIC, disseminated intravascular coagulation; AUC, area under the curve. The receiver operating characteristics analysis of the DIC score (A) and D-dimer levels (B) for predicting the outcomes in critically ill patients. DIC, disseminated intravascular coagulation; AUC, area under the curve. The cut-off point was set as the point at which the sensitivity and specificity curves crossed according to a receiver operating characteristics analysis. The DIC score was determined using the scoring system established by the Japanese Ministry Health Labor and Welfare. Distribution of plasma D-dimer levels between survivors (A) and non-survivors (B).

Discussion

The plasma D-dimer levels in patients with NSUD were 0.5 (0.5-1.1) (mg/L) and not markedly increased; thus, these values could be used as a control for the comparison of patients with various underlying diseases or conditions. The plasma D-dimer levels were significantly high in patients with the following conditions: infection and thrombotic disease, trauma, aortic aneurysm, heart failure and CPA. Infection, trauma, aortic aneurysm and CPA were frequently associated with DIC[17,18]; elevated D-dimer levels were previously reported to be associated with these diseases.[19,20] Heart failure is not usually associated with DIC; however, elevated D-dimer levels were observed in patients with heart failure in the present study and in previous studies.[21] The mechanism of D-dimer elevation in patients with heart failure was reported to involve hemostatic abnormality and to predict a poor outcome. In this study, there were many trauma patients without organ failure who only had simple bone fracture. These findings suggest that D-dimer elevation might be caused by bone fracture. Although D-dimer elevation has been reported in patients who received major orthopedic surgery,[6,8] elevated D-dimer levels may not only be caused by hemostasis and thrombosis due to surgery, but D-dimer may also be released from operated bone. Thus, the evaluation of D-dimer elevation for the diagnosis of DIC or venous thrombosis may be difficult for patients with heart failure or bone fracture. Although the D-dimer levels were high in patients with thrombotic diseases, these levels were not high in patients with AMI and varied in the patients with cerebral infarction. As most AMI[22] caused by the rupture of atheromatous plaques due to activation of platelets or spasm, plasma D-dimer levels were not markedly increased in the patients with AMI. As cerebral thrombosis is caused by several mechanisms, including the rupture of atheromatous plaques, thrombophilia or embolism from the heart, the D-dimer levels varied among patients with cerebral thrombosis, suggesting that the detection of elevated D-dimer levels may be useful for the adaptation of anticoagulant therapy in some patients with cerebral thrombosis. D-dimer elevation was not included in the scoring system to diagnose sepsis-induced coagulopathy.[23,24] However, in this study, the D-dimer levels were significantly higher in patients with infectious diseases. The DIC score showed the strongest relationship with the outcome, followed by the D-dimer level. As FRMs including the D-dimer level, are the most important markers in the scoring of DIC, critically ill patients who demonstrated elevated D-dimer levels may therefore have a poor outcome due to the association of DIC. In conclusion, D-dimer is increased in various underlying diseases, and elevated D-dimer levels predicts a poor outcome in critically ill patients.
  24 in total

1.  The relationships among hemostatic markers, the withdrawal of fondaparinux due to a reduction in hemoglobin and deep vein thrombosis in Japanese patients undergoing major orthopedic surgery.

Authors:  Masahiro Hasegawa; Hideo Wada; Hiroki Wakabayashi; Kakunoshin Yoshida; Noriki Miyamoto; Kunihiro Asanuma; Takeshi Matsumoto; Kohshi Ohishi; Yuji Shimokariya; Norikazu Yamada; Atsumasa Uchida; Akihiro Sudo
Journal:  Clin Chim Acta       Date:  2013-07-20       Impact factor: 3.786

Review 2.  Diagnostic criteria and laboratory tests for disseminated intravascular coagulation.

Authors:  Hideo Wada; Takeshi Matsumoto; Tuyoshi Hatada
Journal:  Expert Rev Hematol       Date:  2012-12       Impact factor: 2.929

3.  Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China.

Authors:  Dawei Wang; Bo Hu; Chang Hu; Fangfang Zhu; Xing Liu; Jing Zhang; Binbin Wang; Hui Xiang; Zhenshun Cheng; Yong Xiong; Yan Zhao; Yirong Li; Xinghuan Wang; Zhiyong Peng
Journal:  JAMA       Date:  2020-03-17       Impact factor: 56.272

4.  Fibrin-related markers for diagnosing acute-, subclinical-, and pre-venous thromboembolism in patients with major orthopedic surgery.

Authors:  Toshio Yamaguchi; Hideo Wada; Shinichi Miyazaki; Masahiro Hasegawa; Hiroki Wakabayashi; Kunihiro Asanuma; Naoki Fujimoto; Takeshi Matsumoto; Kohshi Ohishi; Akane Sakaguchi; Norikazu Yamada; Masaaki Ito; Yoshiki Yamashita; Naoyuki Katayama; Akihiro Sudo
Journal:  Int J Hematol       Date:  2016-02-12       Impact factor: 2.490

5.  Elevated D-dimer levels predict adverse outcomes in hospitalised elderly patients with chronic heart failure.

Authors:  Wei Yan; Jixuan Liu; Haiyan Liu; Jinhua Lu; Jingyun Chen; Ren Rong; Linnan Song; Haiying Tang; Jianzhong Li; Kunlun He
Journal:  Intern Med J       Date:  2019-10       Impact factor: 2.048

6.  The Evaluation of Fibrin-Related Markers for Diagnosing or Predicting Acute or Subclinical Venous Thromboembolism in Patients Undergoing Major Orthopedic Surgery.

Authors:  Masahiro Hasegawa; Hideo Wada; Shinichi Miyazaki; Toshio Yamaguchi; Hiroki Wakabayashi; Naoki Fujimoto; Takeshi Matsumoto; Kohshi Ohishi; Akane Sakaguchi; Norikazu Yamada; Masaaki Ito; Yoshiki Yamashita; Naoyuki Katayama; Kaname Nakatani; Akihiro Sudo
Journal:  Clin Appl Thromb Hemost       Date:  2016-10-21       Impact factor: 2.389

7.  Guidance for diagnosis and treatment of DIC from harmonization of the recommendations from three guidelines.

Authors:  H Wada; J Thachil; M Di Nisio; P Mathew; S Kurosawa; S Gando; H K Kim; J D Nielsen; C-E Dempfle; M Levi; C-H Toh
Journal:  J Thromb Haemost       Date:  2013-02-04       Impact factor: 5.824

8.  Age-adjusted D-dimer cutoff levels to rule out pulmonary embolism: the ADJUST-PE study.

Authors:  Marc Righini; Josien Van Es; Paul L Den Exter; Pierre-Marie Roy; Franck Verschuren; Alexandre Ghuysen; Olivier T Rutschmann; Olivier Sanchez; Morgan Jaffrelot; Albert Trinh-Duc; Catherine Le Gall; Farès Moustafa; Alessandra Principe; Anja A Van Houten; Marije Ten Wolde; Renée A Douma; Germa Hazelaar; Petra M G Erkens; Klaas W Van Kralingen; Marco J J H Grootenboers; Marc F Durian; Y Whitney Cheung; Guy Meyer; Henri Bounameaux; Menno V Huisman; Pieter W Kamphuisen; Grégoire Le Gal
Journal:  JAMA       Date:  2014-03-19       Impact factor: 56.272

Review 9.  Exclusion of deep vein thrombosis using the Wells rule in clinically important subgroups: individual patient data meta-analysis.

Authors:  G J Geersing; N P A Zuithoff; C Kearon; D R Anderson; A J Ten Cate-Hoek; J L Elf; S M Bates; A W Hoes; R A Kraaijenhagen; R Oudega; R E G Schutgens; S M Stevens; S C Woller; P S Wells; K G M Moons
Journal:  BMJ       Date:  2014-03-10

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

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

View more
  4 in total

1.  D-dimer kit with a High FDP/D-Dimer Ratio is Useful for Diagnosing Thrombotic Diseases.

Authors:  Nozomi Ikeda; Hideo Wada; Yuhuko Ichikawa; Minoru Ezaki; Motoko Tanaka; Shinya Hiromori; Katsuya Shiraki; Isao Moritani; Akitaka Yamamoto; Hideto Shimpo; Motomu Shimaoka
Journal:  Clin Appl Thromb Hemost       Date:  2022 Jan-Dec       Impact factor: 2.389

2.  Management of a patient with cardiac arrest, intestinal ischemia necrosis, multiple fractures, hemorrhagic shock, renal failure, disseminated intravascular coagulation, and thrombosis after severe abdominal crush injury: A case report.

Authors:  Xiaokun Yang; Nan Tang; Le Li; Guisen Xu; Juan Dai; Kai Tao; Chunyang He; Chaoji Huangfu
Journal:  Exp Ther Med       Date:  2022-04-12       Impact factor: 2.447

3.  D-Dimer as a Prognostic Factor in a Tertiary Center Intensive Coronary Care Unit.

Authors:  Moshe Rav Acha; Louay Taha; Anna Turyan; Rivka Farkash; Feras Bayya; Mohammad Karmi; Yoed Steinmetz; Fauzi Fadi Shaheen; Nimrod Perel; Kamal Hamayel; Nir Levi; Hani Karameh; Ariella Tvito; Michael Glikson; Elad Asher
Journal:  Clin Appl Thromb Hemost       Date:  2022 Jan-Dec       Impact factor: 3.512

4.  Elevated plasma D-dimer levels are associated with the poor prognosis of critically ill children.

Authors:  Guan Wang; Junhui Liu; Rui Xu; Xinjie Liu
Journal:  Front Pediatr       Date:  2022-09-23       Impact factor: 3.569

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.