Literature DB >> 29596106

Recombinant Human-Soluble Thrombomodulin Contributes to Reduced Mortality in Sepsis Patients With Severe Respiratory Failure: A Retrospective Observational Study Using a Multicenter Dataset.

Shodai Yoshihiro1, Masaaki Sakuraya2, Mineji Hayakawa3, Kota Ono4, Akira Hirata5, Akihiro Takaba2, Natsuki Kawamura2, Toru Tsutsui2, Kenichi Yoshida2, Yoshihiro Hashimoto1.   

Abstract

BACKGROUND: Recombinant human-soluble thrombomodulin (rhTM) is a novel class therapeutic agent for managing disseminated intravascular coagulation. The progression of severe respiratory failure may be related to intra-alveolar coagulation/fibrinolytic disorders. We aimed to determine the efficacy of rhTM in treating sepsis patients with severe respiratory failure.
METHODS: We performed a retrospective observational study using an existing dataset collected from 42 intensive care units (ICUs) in Japan. Of 3,195 patients with severe sepsis or septic shock from the dataset, we selected sepsis patients with severe respiratory failure, and compared patient outcomes based on the administration of rhTM (rhTM group and no rhTM group). Propensity score analysis was performed between the two groups. Outcomes of interest were ICU mortality, hospital mortality, and ventilator-free days (VFDs).
RESULTS: In this study, 1,180 patients (rhTM, n = 356; no rhTM, n = 824) were analyzed. After adjusting for baseline imbalances with propensity score matching, the survival-time analysis revealed a significant difference between the two groups (hazard ratio, 0.654; 95% confidence interval, 0.439-0.974, P = 0.03). ICU mortality was lower in the rhTM group (rhTM: 22.1% [33/149] vs. no rhTM: 36.2% [54/149], P = 0.01). Hospital mortality was also lower in the rhTM group (35.6% [53/149] vs. 49.7% [74/149], P = 0.02). VFDs trended to be higher in the rhTM group than the no rhTM group (12.8 ± 10.1 days vs. 10.6 ± 10.6 days, P = 0.09).
CONCLUSIONS: Administration of rhTM was positively correlated with a reduction in mortality in sepsis patients with severe respiratory failure.

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Year:  2019        PMID: 29596106      PMCID: PMC6319596          DOI: 10.1097/SHK.0000000000001148

Source DB:  PubMed          Journal:  Shock        ISSN: 1073-2322            Impact factor:   3.454


INTRODUCTION

Recombinant human-soluble thrombomodulin (rhTM) is a novel class therapeutic agent for disseminated intravascular coagulation (DIC). Severe sepsis frequently induces DIC, a condition that causes organ damage as a result of microvascular obstruction due to excessive production of thrombin (1). Similar to thrombomodulin, rhTM contains a functional extracellular domain which binds to thrombin and thereby activates protein C and prevents excessive coagulation (2). Recently, various clinical effects of rhTM were investigated in patients with sepsis-induced DIC in a meta-analysis of systematic review and retrospective studies of large sample size (3–7). A meta-analysis of randomized controlled trials showed that rhTM administration was not related to a reduction in mortality in sepsis-induced DIC patients (5). In addition, a multicenter retrospective study, which used the Japanese Diagnosis Procedure Combination inpatient database, showed that rhTM administration was not associated with a reduction in mortality (3, 4). On the contrary, a meta-analysis of retrospective studies showed that rhTM administration was related to reduction in mortality in sepsis-induced DIC patients (5). The Japan Septic Disseminated Intravascular Coagulation (J-SEPTIC DIC) study, which was a multicenter retrospective study conducted at 42 intensive care units (ICUs) in Japan, reported that rhTM administration improved survival outcomes in patients with sepsis-induced DIC (6). A retrospective cohort study suggested that administration of rhTM to sepsis-induced DIC patients reduced mortality among patients at a high risk of death, but not among those at a low risk of death (7). A randomized, double-blind placebo-controlled phase 3 trial (ClinicalTrials.gov Identifier: NCT01598831), in which high-risk patients are included, is ongoing and has yet to report the results. Severe sepsis is the most common cause of acute respiratory distress syndrome (ARDS) (8, 9). ARDS is caused by alveolar macrophage and neutrophil-activated inflammatory cytokines (10). Tissue factors released by the alveolar macrophages and neutrophils generate thrombin in an extrinsic coagulation cascade pathway (11, 12). Analysis of bronchoalveolar lavage fluid from patients with pneumonia and ARDS showed increased activation of coagulation and inhibition of fibrinolysis, correlating with inflammation severity (13). Furthermore, intra-alveolar coagulation/fibrinolytic disorders might contribute to the progression of lung injuries (14–16). Intra-alveolar coagulation/fibrinolytic disorders in severe respiratory failure may more accurately be termed “intra-alveolar DIC.” It was reported that antithrombotic drugs might have a beneficial role for patients with ARDS (17, 18). Although there are many studies that examined the effect of rhTM on septic-induced DIC patients (3, 5–7), only two studies on sepsis patients with severe respiratory failure, such as ARDS, have so far been published with mixed results (4, 19). Thus, we conducted the present study to analyze the effect of rhTM administration on sepsis patients with severe respiratory failure, regardless of the complication of DIC. We accessed an existing dataset from a multicenter, retrospective observational study and used propensity score analysis to ensure balance in the treatment and nontreatment groups.

PATIENTS AND METHODS

Study design and setting

This study was a retrospective observational study using the dataset from the J-SEPTIC DIC study. The J-SEPTIC DIC study reviewed information from consecutive patients admitted to 42 ICUs from 40 institutions throughout Japan. The study design was approved by the Institutional Review Board at each hospital (see Table S1), and the requirement for informed consent was waived because of the retrospective study design. The present study analyzed information from the anonymized database of the J-SEPTIC DIC study, which was registered in the University Hospital Medical Information Network Individual Case Data Repository (UMIN-CTR000012543, http://www.umin.ac.jp/icdr/index-j.html). The J-SEPTIC DIC study included patients with severe sepsis or septic shock who were admitted to a target ICU between January 1, 2011 and December 31, 2013. Severe sepsis was defined using the International Sepsis Definitions Conference criteria (20). Patients were excluded if they were less than 16 years old, or developed either severe sepsis or septic shock after admission to the ICU.

Patient selection and outcomes

Patient information in the J-SEPTIC DIC study dataset was extracted from the electronic medical records of the participating hospitals. This information included patient characteristics, therapeutic interventions, and ICU characteristics. The data accessed for our study were age; sex; body weight; admission route to the ICU; comorbidities; preexisting coagulation abnormality; Acute Physiology and Chronic Health Evaluation (APACHE) II score (21); Sequential Organ Failure Assessment (SOFA) score (22); initial systemic inflammatory response syndrome (SIRS) score (23); primary infection site; blood culture results; microorganisms responsible for sepsis; daily results of laboratory tests; lactate levels; medications, including anti-DIC drugs, other anticoagulants, immunoglobulins, and low-dose steroids; transfusion volumes and bleeding complications during the first week in ICU; therapeutic interventions, including surgery at the infection site, renal replacement therapy, polymyxin B direct hemoperfusion, extracorporeal membrane oxygenation, and intra-aortic balloon pumping; and outcomes until ICU discharge. Comorbidity information was assembled using the APACHE II-weighted comorbidity score. Use of medications and therapeutic interventions, laboratory tests, transfusion volumes, and bleeding complications were recorded up to 7 days after ICU admission. SOFA score, SIRS score, and lactate levels were recorded on days 1, 3, and 7 after ICU admission. For the present study, we selected 1,180 sepsis patients from the J-SEPTIC DIC dataset who had severe respiratory failure, defined as an initial respiratory SOFA score at least 3. These patients were then divided into two groups: the rhTM group (received rhTM) and the no rhTM group (did not receive rhTM). Among patients with DIC, rhTM was administered at the discretion of the attending physician, and there was no predefined protocol regarding rhTM use. Typically, 380 U/kg/d was administered intravenously to patients with DIC, but without severe renal dysfunction. In patients with DIC and severe renal dysfunction, the dosage of rhTM was 130 U/kg/d. Administration of rhTM usually continued for 6 days or until the DIC improved. DIC improvement was determined by each attending physician. The attended physicians determined DIC improvement based on the Japanese Association for Acute Medicine (JAAM)'s DIC diagnostic criteria. DIC scores were calculated using the JAAM's DIC scoring algorithm (24). Missing values were scored as 0. Patients were classified as having DIC if they had no preexisting hemostatic disorders and a DIC score at least 4 on a single day during the first week after ICU admission (on days 1, 3, or 7). Outcomes of interest were ICU mortality, hospital mortality, and ventilator-free days (VFDs). The VFDs were calculated by subtracting the number of days of assisted breathing from 28 days. If a patient was discharged within 28 days of ICU admission, VFDs were calculated by subtracting the length of their ICU stay from 28 days. This is because no information was available after their discharge from the ICU. For example, if a patient with ventilator was discharged at 14 days, VFDs of the patient was 14. Patients who died within 28 days of admission were assigned 0 VFDs.

Statistical analysis

Patients were assigned a propensity score for the administration of rhTM. Confounders were chosen for their potential association with the outcomes of interest based on existing clinical knowledge. Propensity to administer rhTM was estimated using a logistic regression model. To estimate the propensity score, we selected clinically relevant covariates: age; sex; body weight; preexisting hemostatic disorders; APACHE II score; initial SOFA score of each organ system (except coagulation); initial SIRS score; initial DIC score; respiratory infection; microorganisms responsible for the sepsis; blood culture results; initial laboratory tests (white blood cell count, platelet count, hemoglobin level, prothrombin time–international normalized ratio); anti-DIC drugs (antithrombin, protease inhibitor, heparins); other drugs (anticoagulants, immunoglobulins, low-dose steroids); surgery at the infection site; renal replacement therapy; and polymyxin B direct hemoperfusion. Propensity scores were matched using a caliper width one-fifth of the SD (0.187), which was calculated by logit transformation of the propensity score. Data were described in terms of means ± SDs or medians [interquartile range], as appropriate. The standardized difference was used to measure the covariate balance. In the matched groups, unadjusted comparisons were performed using the Mann–Whitney U test, Fisher exact test, and chi-squared test, as appropriate. Kaplan–Meier curves for the estimated probability of survival as a function of time from ICU admission were compared in the matched groups using the log-rank test and a Cox regression model. All statistical analyses were performed with EZR (Saitama Medical Center, Jichi Medical University, Saitama, Japan). This is a graphical user interface for R (The R Foundation for Statistical Computing, Vienna, Austria) in which the R software is modified to include statistical functions frequently used in biostatistics (25).

RESULTS

Of the 3,195 patients with severe sepsis or septic shock included in the J-SEPTIC DIC study, 1,180 patients met the entry criteria for the present study. Of these, 356 (30.2%) were administered rhTM (Fig. 1). When comparing the unmatched groups, patients in the rhTM group had more severe conditions and more frequent treatment interventions than those in the no rhTM group. Propensity score matching created 149 matched pairs, after which the characteristics of the two groups were considerably more balanced (Table 1).
Fig. 1

Patient flow diagram.

Table 1

Baseline characteristics of sepsis patients with severe respiratory failure

VariateUnmatchedMatched
No rhTMRhTMNo rhTMRhTM
n824356Standardized difference, %149149Standardized difference, %
Age, y70.4 ± 13.968.6 ± 13.2−1.069.9 ± 13.869.7 ± 13.5−0.1
Male sex530 (64.3%)223 (62.6%)−3.590 (60.4%)97 (65.1%)9.7
Weight, kg57.9 ± 14.857.3 ± 13.7−0.2755.2 ± 13.158.0 ± 14.31.5
Preexisting hemostatic disorders156 (18.9%)62 (17.4%)−3.929 (19.5%)27 (18.1%)−3.6
APACHEII score25 [19–31]27 [21–32]1.327 [21–34]25 [19–31]−2.2
Initial total SOFA score11 [8–14]13 [10–15]12.011 [9–14]11 [8–13]−5.6
 Central nervous system2 [1–3]2 [1–3]1.42 [1–3]2 [1–3]−5.8
 Renal1 [0–3]3 [1–3]21.01 [0–3]1 [0–3]−1.9
 Respiratory3 [3–4]3 [3–4]−25.03 [3–4]3 [3–4]−12.5
 Coagulation1 [0–2]2 [0–3]33.71 [0–2]1 [0–2]−14.6
 Cardiovascular3 [1–4]4 [3–4]23.03 [2–4]3 [2–4]−12.0
 Liver0 [0–1]0 [0–2]26.80 [0–1]0 [0–1]−5.5
Initial SIRS score3 [3–4]3 [3–4]10.23 [3–4]3 [3–4]7.1
Initial JAAM DIC score4 [2–5]5 [4–7]28.35 [3–6]4 [3–6]−3.7
Respiratory SOFA score
 Score 3531 (64.4%)249 (69.9%)11.7101 (67.8%)105 (70.5%)5.8
 Score 4293 (35.6%)107 (30.1%)−11.748 (32.2%)44 (29.5%)−5.8
Presence of lung infection350 (42.5%)126 (35.4%)−14.666 (44.3%)60 (40.3%)−8.1
Blood culture results
 Positive323 (39.2%)176 (49.4%)20.757 (38.3%)64 (43.0%)9.6
 Negative455 (55.2%)168 (47.2%)−16.183 (55.7%)79 (53.0%)−5.3
 No test46 (5.6%)12 (3.4%)−10.79 (6.0%)6 (4.0%)−9.2
Microorganisms responsible for the sepsis
 Gram negative rods261 (31.7%)138 (38.8%)14.944 (29.5%)45 (30.2%)1.5
 Gram positive cocci199 (24.2%)96 (27.0%)6.531 (20.8%)35 (23.5%)6.4
 Fungus14 (1.7%)6 (1.7%)−0.16 (4.0%)4 (2.7%)−7.4
 Virus6 (0.7%)2 (0.6%)−2.12 (1.3%)1 (0.7%)−6.7
 Mixed infection126 (15.3%)50 (14.0%)−3.527 (18.1%)31 (20.8%)6.7
 Others24 (2.9%)4 (1.1%)−12.82 (1.3%)4 (2.7%)9.5
 Unknown194 (23.5%)60 (16.9%)−16.737 (24.8%)29 (19.5%)−13.0
White blood cell count, 109/L10.4 [4.0–16.1]9.0 [2.7–16.9]0.039.4 [2.6–16.1]9.6 [2.8–15.3]−0.16
Hemoglobin, g/L10.7 [8.9–12.6]10.6 [9.1–12.1]−2.79.0 [7.5–10.8]10.6 [9.3–12.2]19.7
Platelet count, 109/L136.5 [77.0–212.5]88.5 [46.0–146.0]−0.4999.0 [52.0–187.0]124.0 [78.0–183.0]0.15
PT-INR1.3 [1.2–1.6]1.4 [1.2–1.7]7.81.4 [1.2–1.7]1.3 [1.2–1.5]−13.0
Medications
 Antithrombin III209 (25.4%)208 (58.4%)71.031 (20.8%)42 (28.2%)17.3
 Protease inhibitor124 (15.0%)61 (17.1%)5.723 (15.4%)29 (19.5%)10.8
 Heparins41 (5.0%)15 (4.2%)−3.85 (3.4%)12 (8.1%)20.3
 Other anticoagulant336 (40.8%)208 (58.4%)35.868 (45.6%)66 (44.3%)2.6
 Immunoglobulins232 (28.2%)185 (52.0%)50.129 (19.5%)51 (34.2%)33.6
 Low-dose steroids222 (26.9%)164 (46.1%)40.743 (28.9%)45 (30.2%)2.8
Therapeutic interventions
 Surgical interventions at the infection site266 (32.3%)140 (39.3%)14.646 (30.9%)53 (35.6%)10.0
 RRT253 (30.7%)202 (56.7%)54.355 (36.9%)48 (32.2%)−9.9
 PMX-DHP154 (18.7%)129 (36.2%)40.025 (16.8%)33 (22.1%)13.4

APACHE indicates Acute Physiology and Chronic Health Evaluation; DIC, disseminated intravascular coagulation; ICU, intensive care unit; JAAM, the Japanese Association for Acute Medicine; PMX-DHP, Polymyxin B-direct hemoperfusion; PT-INR, prothrombin time–international normalized ratio; rhTM, recombinant human soluble thrombomodulin; RRT, renal replacement therapy; SIRS, systemic inflammatory response syndrome; SOFA, Sequential Organ Failure Assessment.

Data are presented as n (%), mean ± SD, or median [interquartile range].

Patient flow diagram. Severe respiratory failure is defined as an initial respiratory SOFA score at least 3. rhTM, recombinant human-soluble thrombomodulin. Baseline characteristics of sepsis patients with severe respiratory failure APACHE indicates Acute Physiology and Chronic Health Evaluation; DIC, disseminated intravascular coagulation; ICU, intensive care unit; JAAM, the Japanese Association for Acute Medicine; PMX-DHP, Polymyxin B-direct hemoperfusion; PT-INR, prothrombin time–international normalized ratio; rhTM, recombinant human soluble thrombomodulin; RRT, renal replacement therapy; SIRS, systemic inflammatory response syndrome; SOFA, Sequential Organ Failure Assessment. Data are presented as n (%), mean ± SD, or median [interquartile range]. Both ICU mortality and hospital mortality were significantly lower in the matched rhTM group than the matched no rhTM group (Table 2). Survival-time analysis revealed a significant difference between the propensity score matched treatment and no rhTM group (hazard ratio, 0.654; 95% confidence interval, 0.439–0.974, P = 0.03) (Fig. 2). VFDs trended to be higher in the matched rhTM group than the matched no rhTM group (matched rhTM group: 12.8 ± 10.1 days vs. matched no rhTM group: 10.6 ± 10.6 days, P = 0.09) (Table 2). Adverse events related to bleeding and transfusion volumes were not statistically different between the two matched groups during the first 7 days after admission to the ICU (Table 3).
Table 2

Outcomes in the matched no rhTM and rhTM groups

No rhTMRhTM
n149149P
Ventilator free days, d10.6 ± 10.612.8 ± 10.10.09
Hospital mortality74 (49.7%)53 (35.6%)0.02
ICU mortality54 (36.2%)33 (22.1%)0.01

ICU indicates intensive care unit; rhTM, recombinant human soluble thrombomodulin.

P values were calculated using the Mann-Whitney U test and Chi-squared test.

Data are presented as n (%), mean ± SD.

Fig. 2

Survival-time analysis for patients in the matched no rhTM and rhTM groups.

Table 3

Bleeding complications and transfusion amounts in the matched no rhTM and rhTM groups

No rhTMRhTM
n149149P
Bleeding complications during 7 d after ICU admission
 Bleeding requiring transfusion18 (12.1%)13 (8.7%)0.45
 Bleeding requiring a therapeutic intervention1 (0.7%)1 (0.7%)1.00
 Intracranial bleeding1 (0.7%)0 (0.0%)1.00
 Death by bleeding0 (0.0%)1 (0.7%)1.00
Amount of transfusion during 7 d after ICU admission
 Red blood cell concentration, units2.0 [0.0–6.0]2.0 [0.0–4.0]0.17
 Fresh frozen plasma, units0.0 [0.0–5.0]0.0 [0.0–4.0]0.53
 Platelet concentration, units0.0 [0.0–0.0]0.0 [0.0–0.0]0.48

ICU indicates intensive care unit; rhTM, recombinant human soluble thrombomodulin.

P values were calculated using the Mann–Whitney U test and Fisher exact test.

Data are presented as n (%), median [interquartile range].

Outcomes in the matched no rhTM and rhTM groups ICU indicates intensive care unit; rhTM, recombinant human soluble thrombomodulin. P values were calculated using the Mann-Whitney U test and Chi-squared test. Data are presented as n (%), mean ± SD. Survival-time analysis for patients in the matched no rhTM and rhTM groups. The probability of survival is higher in the rhTM group than the no rhTM group. rhTM, recombinant human-soluble thrombomodulin. Bleeding complications and transfusion amounts in the matched no rhTM and rhTM groups ICU indicates intensive care unit; rhTM, recombinant human soluble thrombomodulin. P values were calculated using the Mann–Whitney U test and Fisher exact test. Data are presented as n (%), median [interquartile range].

DISCUSSION

This study involved propensity score matching analysis of a selection of patients from the database of a multicenter, retrospective observational study of 42 ICUs throughout Japan. We identified that administration of rhTM was related to a reduced mortality in sepsis patients with severe respiratory failure, regardless of the complication of DIC. VFDs trended to be higher in the matched rhTM group than the matched no rhTM group. In addition, bleeding complications were not increased by the administration of rhTM. Some studies did not show any beneficial effects of rhTM on sepsis-induced DIC patients (3, 4, 26). Patients included in these studies were presumed to be at a lower-risk of death (27). In a previous randomized, double-blind placebo-controlled phase 2b study, although no survival benefit of rhTM was observed in patients with both sepsis and suspected DIC, a survival benefit was observed in more severe patients (28). Furthermore, other studies reported that benefits of rhTM were easier to observe in more severe patients (5, 7). In retrospective studies, administration of rhTM was associated with improvement in respiratory dysfunction associated with sepsis-induced DIC (29–31). In sepsis-induced DIC patients, rhTM administration showed a tendency toward a decrease in respiratory SOFA scores in previous historic cohort studies (29, 30). In sepsis-induced DIC patients, administration of rhTM increased in the number of VFDs when compared with a control in a propensity score analysis (31). Though improvement in respiratory dysfunction by rhTM administration was expected, the results of each study for patients with severe respiratory failure were contradictory (4, 19). In one recent retrospective study, rhTM administration was not associated with an increase in the VFDs of sepsis-induced DIC patients with severe pneumonia (4). In another retrospective study that included a small sample size, rhTM administration was associated with improvement of mortality in patients with both DIC and ARDS though respiratory outcomes were not investigated (19). Several animal studies suggested the mechanisms for the effect of rhTM on ARDS (32–35). Inhibition of pulmonary vascular injury by rhTM was related to protein C activation, which had anti-inflammatory, rather than anticoagulant effects (32, 33). One anti-inflammatory mechanism is the inhibition of the inflammatory pathway. Levels of inflammatory cytokines and proinflammatory high-mobility group box 1 protein were decreased by rhTM (34). Another mechanism is the activation of the anti-inflammatory pathway. The proliferation of regulatory T cells and the expression of anti-inflammatory cytokines were increased by rhTM (35). The respiratory outcome of rhTM administration has never been studied in a group with severe respiratory failure, defined as having a PaO2/FiO2 ratio at most 200 and receiving respiratory support, regardless of the complication of DIC. Our study suggests that rhTM administration may be associated with beneficial respiratory effects in sepsis patients with severe respiratory failure of non-ARDS. Because statistical power and respiratory system-related outcomes other than VFDs are lacking, further research is needed to determine the role of rhTM in sepsis patients with severe respiratory failure. Our study had some limitations. First, we could not identify the exact timing of therapeutic interventions. However, therapeutic interventions, including the administration of rhTM, usually occurred at the time of ICU admission, and other therapeutic interventions were not affected by rhTM administration. Therefore, we considered it acceptable to use the therapeutic interventions to estimate the propensity score. Second, the dose and duration of therapeutic interventions, including rhTM, could not be identified. However, we assumed that patients received the dose and duration approved in Japan. Third, we evaluated the severity of respiratory failure using the respiratory SOFA score. More detailed information (e.g., ventilator settings, lung injury scores) may be needed for an accurate evaluation. Finally, we could not follow up patients after discharge from the treating hospital.

CONCLUSIONS

Using propensity analysis in a large cohort, we identified that administration of rhTM was related to a reduced mortality in sepsis patients with severe respiratory failure, regardless of the complication of DIC. To understand the clinical implications of this, future studies of patients with severe respiratory failure, such as septic ARDS, in prospective multicenter randomized trials should be conducted.
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6.  Human Soluble Recombinant Thrombomodulin, ART-123, Resolved Early Phase Coagulopathies, but Did Not Significantly Alter the 28 Day Outcome in the Treatment of DIC Associated with Infectious Systemic Inflammatory Response Syndromes.

Authors:  Shusuke Mori; Tomohiko Ai; Toshiki Sera; Kanae Ochiai; Yasuhiro Otomo
Journal:  J Clin Med       Date:  2019-09-27       Impact factor: 4.241

7.  The transcription factor ERG regulates a low shear stress-induced anti-thrombotic pathway in the microvasculature.

Authors:  C Peghaire; N P Dufton; M Lang; I I Salles-Crawley; J Ahnström; V Kalna; C Raimondi; C Pericleous; L Inuabasi; R Kiseleva; V R Muzykantov; J C Mason; G M Birdsey; A M Randi
Journal:  Nat Commun       Date:  2019-11-01       Impact factor: 14.919

  7 in total

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