Literature DB >> 34973126

Low in-hospital mortality rate in patients with COVID-19 receiving thromboprophylaxis: data from the multicentre observational START-COVID Register.

Daniela Poli1, Emilia Antonucci2, Walter Ageno3, Paolo Prandoni2, Gualtiero Palareti2, Rossella Marcucci2,3,4,5.   

Abstract

COVID-19 infection causes respiratory pathology with severe interstitial pneumonia and extra-pulmonary complications; in particular, it may predispose to thromboembolic disease. The current guidelines recommend the use of thromboprophylaxis in patients with COVID-19, however, the optimal heparin dosage treatment is not well-established. We conducted a multicentre, Italian, retrospective, observational study on COVID-19 patients admitted to ordinary wards, to describe clinical characteristic of patients at admission, bleeding and thrombotic events occurring during hospital stay. The strategies used for thromboprophylaxis and its role on patient outcome were, also, described. 1091 patients hospitalized were included in the START-COVID-19 Register. During hospital stay, 769 (70.7%) patients were treated with antithrombotic drugs: low molecular weight heparin (the great majority enoxaparin), fondaparinux, or unfractioned heparin. These patients were more frequently affected by comorbidities, such as hypertension, atrial fibrillation, previous thromboembolism, neurological disease, and cancer with respect to patients who did not receive thromboprophylaxis. During hospital stay, 1.2% patients had a major bleeding event. All patients were treated with antithrombotic drugs; 5.4%, had venous thromboembolism [30.5% deep vein thrombosis (DVT), 66.1% pulmonary embolism (PE), and 3.4% patients had DVT + PE]. In our cohort the mortality rate was 18.3%. Heparin use was independently associated with survival in patients aged ≥ 59 years at multivariable analysis. We confirmed the high mortality rate of COVID-19 in hospitalized patients in ordinary wards. Treatment with antithrombotic drugs is significantly associated with a reduction of mortality rates especially in patients older than 59 years.
© 2021. The Author(s).

Entities:  

Keywords:  Antithrombotic; COVID-19 disease; Heparin; Mortality

Mesh:

Substances:

Year:  2022        PMID: 34973126      PMCID: PMC8720160          DOI: 10.1007/s11739-021-02891-w

Source DB:  PubMed          Journal:  Intern Emerg Med        ISSN: 1828-0447            Impact factor:   5.472


Introduction

The coronavirus disease of 2019 (COVID-19) is a viral illness caused by the RNA betacoronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV2). The first pneumonia cases of unknown origin were identified in Wuhan, China, in December 2019. After few weeks, the World Health Organization (WHO) declared the pandemic. (WHO Director-General's opening remarks at the media briefing on COVID-19–11 March 2020). After the diffusion in China, Italy was the first country severely interested by the pandemic, with a widespread diffusion especially in Northern Italy [1]. COVID-19 infection causes respiratory pathology with severe interstitial pneumonia, but also causes several extra-pulmonary complications. In particular, COVID-19 may predispose to both venous and arterial thromboembolic disease due to excessive inflammation, hypoxia, and immobilization. Moreover, it has been described a COVID-19-associated coagulopathy that may further increase the thrombotic risk [2-5]. COVID-19 patients may show marked increase of inflammatory markers, as well as signs of endothelial dysfunction, platelet activation, and hypercoagulability [6]. The mortality rate is high, even if differences have been reported across published studies, ranging from 16 to 78% of patients who required hospital admission. Several factors associated with a high risk for death in these patients were described, in particular comorbidities such as hypertension, coronary heart disease and diabetes [7-11]. Among, predictors of mortality, also COVID-19 associated coagulopathy has been associated with poor outcome [2, 12, 13]. Given the high risk of venous thromboembolism and the role of coagulopathy on patient outcomes, current guidelines recommend the use of thromboprophylaxis for patients with COVID-19 [14-17]. However, the optimal dosage of heparin treatment is not known and the need for intermediate or therapeutic heparin doses has been proposed. However, there is concern on the bleeding risk associated with the higher heparin dosage [16, 18–20]. We conducted a multicentre, Italian nationwide, retrospective, observational study on COVID-19 patients admitted to ordinary wards, to describe the demographics, baseline comorbidities, laboratory tests at presentation, bleeding and thrombotic events occurring during hospital stay. We also aimed to describe strategies used for thromboprophylaxis and to assess the characteristics of patients who received different doses heparin, either prophylactic or sub-therapeutic/therapeutic dosage.

Methods

The START-COVID-19 Register starts in May 2020 after the widespread of the SARS2-COVID-19 pandemic in the frame of the START Register (NCT 02219984) [21]. This is a retrospective, observational, nationwide, multicentre register aimed to collect data on the clinical characteristics, laboratory findings, and drugs employed in patients infected by SARS2-COVID-19 virus, hospitalized in ordinary wards. Patients requiring ICU at admission were excluded from the study. The registry has been approved by the Ethical Committee of the Institution of the Coordinating Member (Azienda Ospedaliero-Universitaria, Policlinico S. Orsola-Malpighi, Bologna, Italy), and by all Ethical Committees of participating centers. Twenty-two hospitals distributed throughout Italy participate in these data collection. The Registry is aimed to record local practice, therefore no specific tests or treatments were mandated by the study protocol. All patients underwent to nasopharyngeal and oropharyngeal swab on admission, and the presence of SARS2-COVID-19 infection was detected by polymerase chain reaction (PCR) method. The study focused in particular to the type and dosage of the thromboprophylaxis used, the occurrence of adverse thrombotic and bleeding events, and of death. A dedicated web-based case report form (e-CRF) obtained with “Electronic Data Capture” (EDC) system, based on the “Research Electronic Data Capture” online platform (REDCap, produced and distributed by Vanderbilt University and “REDCap Consortium”) [22]. The e-CRF collect demographic data, clinical data related to associated diseases, symptoms at admission, and type of treatment. The entity of associated comorbidity was measured using the Charlson’s comorbidity index [23]. Antithrombotic therapy was defined prophylactic when enoxaparin 4000–6000 U od, or fondaparinux 2.5 mg od, or nadroparin 2850-3800-5700 U od, or unfractioned heparin (UFH) 5000 U bid, were used. Treatment was defined sub-therapeutic/therapeutic when enoxaparin 4000 U bid, or enoxaparin 6000 U bid, or enoxaparin 8000 U bid, or fondaparinux 5–7.5 mg od, or nadroparin 3800 U bid or 5600 U bid, or UFH 12.500 U bid, were used. In addition, to evaluate the role of thromboprophylaxis in relation to age, we divided the patients taking into account the quartiles distribution of age. We decided to stratify patients into 2 classes: patients < 59 years (1° quartile) and patients with age ≥ 59 years (≥ 2° quartile). Patients were followed-up during hospital stay, the follow-up ended when the patients was discharged, transferred to ICU, or died. The outcome was defined favourable when the patient was discharged, and severe when the patient was transferred to ICU or died. Thrombotic and bleeding events occurred during follow-up were recorded. Objective confirmation of thrombotic events was requested. Major bleeding (MB) was defined according with the International Society of Thrombosis and Haemostasis [24]. Clinically relevant non major bleedings (CRNMB) were defined as those events that are not major but require any kind of medical intervention [25].

Statistical analysis

Descriptive analysis was performed. Continuous variables are expressed as median with interquartile range (IQR) or as mean plus or minus standard deviation (SD). Categorical variables are expressed as frequencies and percentages. Preliminary statistical analysis was performed using Wilcoxon signed-rank test (continuous variables) or Fisher exact test (categorical data). A p value < 0.05 was considered statistically significant. A logistic univariate analysis was performed to estimate the association of heparin use and mortality. All significant variables were subsequently entered into a multivariable analysis. Risk was expressed as odds ratio (OR) with 95% CI. A 2-sided value of p < 0.05 was chosen for statistical significance. We used the SPSS version 26 software (SPSS Inc, Chicago, IL, USA) and the Stata version 14 software (Stata Corp, College Station, TX) for Windows for data processing.

Results

Patients and thromboprophylaxis

From March 1st and June 30th 2020, 1135 patients hospitalized for COVID-19 infection were included in the START-COVID-19 Register. The flow chart of the study is available Fig. 1; 1091 patients were included (59.9% males), with a median age of 71 years (IQR 59–82 years). Characteristics of the patients are detailed in Table 1. In particular, hypertension was present in 570 (52.2%) patients, the median Charlson’s index of the cohort was 3 (range 2–5), and 406 (37.2%) patients had no associated comorbidities. At admission, fever was present in 796 patients (73.0%), dyspnoea in 581 (53.3%), and cough in 450 (41.2%).
Fig. 1

Flow-chart of the study

Table 1

Clinical characteristics of patients

N (%)
Patients1091
Males653 (59.9)
Median age (IQR)71 (59–82)
Median age males (IQR)69 (58–80)
Median age females (IQR)76 (63–85)
Body mass index26 (24–29)
Hypertension570 (52.2)
Atrial fibrillation83 (7.6)
History of venous thromboembolism36 (3.3)
Coronary artery disease110 (10.1)
Heart failure22 (2.0)
Peripheral obstructive arterial disease16 (1.5)
Cerebrovascular disease65 (6.0)
Neurological disease145 (13.3)
Chronic obstructive pulmonary disease112 (10.3)
Rheumatologic disease21 (1.9)
Diabetes mellitus190 (17.4)
Renal failure (eGFR < 30 mL/min)261 (23.9)
Active Cancer141 (12.9)
Median Charlson’s Index (IQR)3 (2–5)
No comorbidities406 (37.2)
Flow-chart of the study Clinical characteristics of patients During hospitalization, 508 (46.6%) patients received antiviral treatment, mainly lopinavir/ritonavir [379/508 patients (74.6%)]; 851 (78.0%) patients hydroxychloroquine, and 240 (22%) desametasone. At admission, 51 (4.7%) patients were on oral anticoagulants: 35 (68.6%) with vitamin K antagonists (VKAs) and 16 (31.4%) with direct oral anticoagulants (DOACs) (Table 2); 23 patients were already receiving low-molecular weight heparin (LMWH) at prophylactic dosage.
Table 2

Antithrombotic and anticoagulant treatment during hospital stay

N (%)
N. Patients769 (70.7)
LMWH/fondaparinux754 (98.0)
 Prophylactic dosagea607 (78.9)
 Therapeutic-subtherapeutic dosageb147 (19.1)
Oral anticoagulants15 (2.0)
Type of drug
 Enoxaparin706 (92.3)
 Nadroparin16 (2.1)
 Fondaparinux19 (2.5)
 UFH sc9 (1.2)
 Oral anticoagulants15 (2.0)

aEnoxaparin 4000–6000 U od; fondaparinux 2.5 mg od; nadroparin 2850–3800-5700 U od, unfractioned heparin (UFH) 5000 U bid

bEnoxaparin 4000 U bid, enoxaparin 6000 U bid, enoxaparin 8000 U bid; fondaparinux 5 mg or 7.5 mg od; nadroparin 3800 U bid, 5600 U bid; UFH 12.500 U bid

Antithrombotic and anticoagulant treatment during hospital stay aEnoxaparin 4000–6000 U od; fondaparinux 2.5 mg od; nadroparin 2850–3800-5700 U od, unfractioned heparin (UFH) 5000 U bid bEnoxaparin 4000 U bid, enoxaparin 6000 U bid, enoxaparin 8000 U bid; fondaparinux 5 mg or 7.5 mg od; nadroparin 3800 U bid, 5600 U bid; UFH 12.500 U bid During hospital stay, 769 (70.7%) patients were treated with antithrombotic drugs: 15 (2.0%) patients continued treatment with oral anticoagulants, and 754 (98.0%) were treated with LMWH/fondaparinux/unfractioned heparin (UFH). Among these patients, 607 (78.9%) received prophylactic dosage, 93 (12.1%) received sub-therapeutic dosage, and 69 (9.0%) therapeutic dosage. The great majority of patients were treated with enoxaparin (92.3%). The characteristics of patients treated with prophylactic dosage and with sub-therapeutic/therapeutic dosage are reported in Table 3. Atrial Fibrillation (AF), previous thromboembolism, neurological disease, and cancer were less frequent in patients who did not receive prophylaxis in comparison to patients who received prophylaxis. Accordingly, in the latter group the Charlson’s score was significantly higher. Patients who received antithrombotic treatment at sub-therapeutic/therapeutic dosage, had higher prevalence of AF and coronary artery disease with respect to patients who received prophylactic dosage (Table 4).
Table 3

Characteristics of patients with and without thromboprophylaxis

ProphylaxisNO Prophylaxisp value
Patients769 (70.5)322 (29.5)
Males457 (59.4)196 (60.9)0.7
Median age (IQR)72 (60–83)70 (56–81)0.3
Hypertension414 (46.2)166 (51.6)0.1
Atrial fibrillation74 (9.6)9 (2.8)0.000
History of venous thromboembolism32 (4.2)4 (1.2)0.01
Coronary artery disease86 (11.2)24 (7.5)0.08
Heart failure19 (2.5)3 (0.9)0.1
Peripheral obstructive arterial disease15 (2.0)1 (0.3)0.05
Cerebrovascular disease50 (6.5)15 (4.7)0.3
Neurological disease126 (16.4)19 (5.9)0.000
Chronic obstructive pulmonary disease96 (12.5)16 (5.0)0.000
Rheumatological disease19 (2.5)2 (0.6)0.05
Liver disease15 (2.0)4 (1.2)0.6
Diabetes mellitus143 (18.6)47 (14.6)0.1
Renal failure (eGFR < 30 mL/min)67 (8.7)29 (9.0)0.8
Cancer111 (14.4)30 (9.3)0.02
Median Charlson’s Index (IQR)4 (2–5)3 (1–4)0.007
No comorbidities276 (35.9)130 (40.4)0.2
Major bleeding9 (1.2)
CRNMB9 (1.2)
Total bleeding18 (2.4)
Death127 (16.5)73 (22.7)0.02
Table 4

Clinical characteristics and outcomes of patients according to the intensity of antithrombotic treatment

LMWH (*) prophylactic dosageLWMH/OA (**) Therapeutic/sub-therapeutic dosage
Patients607 (78.9)162 (21.1)
Males364 (60.0)93 (57.4)0.6
Median age (IQR)72 (60–82)64 (62–86)0.2
Hypertension275 (45.3)82 (50.6)0.4
Atrial fibrillation47 (7.7)27 (16.7)0.001
Venous thromboembolism19 (3.1)13 (8.0)0.01
Coronary artery disease59 (9.7)27 (16.7)0.02
Heart failure13 (2.1)6 (3.7)0.3
Peripheral obstructive arterial disease39 (6.4)11 (6.8)0.3
Liver disease13 (2.1)2 (1.2)0.7
Neurological disease92 (15.2)34 (21.0)0.07
Chronic obstructive pulmonary disease72 (11.9)24 (14.8)0.4
Diabetes mellitus104 (17.1)39 (24.1)0.06
Renal failure (eGFR < 30 mL/min)46 (7.6)13 (8.0)0.9
Cancer82 (13.5)29 (17.9)0.2
Rheumatological disease92 (15.2)34 (21.0)0.6
Median Charlson’s Index (IQR)3 (2–5)4 (2–5.75)0.000
No co-morbidities234 (38.6)42 (25.9)0.003
Major bleeding4 (0.7)5 (3.1)0.02
CRNMB3 (0.5)6 (3.7)0.003
Total bleeding7 (1.1)11 (6.8)0.000
Death94 (15.5)33 (20.4)0.2

(*)Enoxaparin 4000–6000 U od; fondaparinux 2.5 mg od; nadroparin 2850–3800-5700 U od, unfractioned heparin (UFH) 5000 U bid

(**)Enoxaparin 4000 U bid, enoxaparin 6000 U bid, enoxaparin 8000 U bid; fondaparinux 5 mg or 7.5 mg od; nadroparin 3800 U bid, 5600 U bid; UFH 12.500 U bid

Characteristics of patients with and without thromboprophylaxis Clinical characteristics and outcomes of patients according to the intensity of antithrombotic treatment (*)Enoxaparin 4000–6000 U od; fondaparinux 2.5 mg od; nadroparin 2850–3800-5700 U od, unfractioned heparin (UFH) 5000 U bid (**)Enoxaparin 4000 U bid, enoxaparin 6000 U bid, enoxaparin 8000 U bid; fondaparinux 5 mg or 7.5 mg od; nadroparin 3800 U bid, 5600 U bid; UFH 12.500 U bid

Bleeding and thrombotic complications

During hospital stay, 9 (1.2%) patients had a major bleeding (MB) and 9 (1.2%) patients a clinically relevant non major bleeding (CRNMB). All bleedings occurred among patients treated with antithrombotic drugs. MBs and CRNMBs occurred more frequently among patients treated with sub-therapeutic/therapeutic dosage with respect to patients treated with prophylactic dosage [5 (3.1%) and 6 (3.7%) vs 4 (0.7%) and 3 (0.5%), respectively] (Table 4). Fifty-nine patients had venous thromboembolism during observation (5.4%), 18 (30.5%) patients had deep vein thrombosis (DVT), 39 (66.1%) patients had pulmonary embolism (PE), and 2 (3.4%) patients had DVT + PE.

Clinical deterioration and mortality

Favourable outcome was reported in 806/1091patients (73.9%). Among patients with severe outcome, 85 (7.8%) were transferred to ICU, due to deterioration of respiratory failure, and 200 patients (18.3%) died (Fig. 1). Clinical characteristics of patients with fatal outcome and of discharged patients are reported in Table 5. Patients with fatal outcome were significantly older with respect to patients discharged, showing higher prevalence of hypertension, of coronary artery disease, of peripheral artery obstructive disease (POAD), of cerebrovascular and neurological disease, of cancer, and a higher median Charlson’s comorbidity index (Table 5). Patients who did not had comorbidities at admission were significantly less represented among patients who died with respect to patients with favourable outcome. Laboratory tests showed that median D-dimer levels and PT ratio were significantly higher in patients with fatal outcome with respect to discharged patients (data not shown).
Table 5

Clinical characteristics of patients with fatal outcome

Dead patients N (%)Alive N (%)p value
Patients200 (18.3)891 (81.7)
Males124 (62.0)529 (59.4)0.5
Median age (IQR)83 (76–88)68 (57–69)0.000
Body mass index (IQR)26 (24–29)26 (24–29)0.9
Hypertension123 (61.5)447 (50.2)0.004
Atrial fibrillation21 (10.5)62 (7.0)0.1
Venous thromboembolism8 (4.0)28 (3.1)0.5
Coronary artery disease34 (17.0)76 (8.5)0.001
Heart failure7 (3.5)15 (1.7)0.1
Peripheral obstructive arterial disease9 (4.5)7 (0.8)0.001
Cerebrovascular disease20 (10.0)45 (5.1)0.01
Neurological disease54 (27.0)91 (10.2)0.000
Chronic obstructive pulmonary disease31 (15.5)81 (9.1)0.01
Rheumatologic disease3 (1.5)18 (2.0)0.8
Liver disease4 (2.0)15 (1.7)0.8
Diabetes mellitus46 (23.0)144 (16.2)0.02
Cancer44 (22.0)97 (10.9)0.000
Renal failure (eGFR < 30 mL/min)43 (36.1)53 (9.9)0.000
Charlson’s Index (IQR)5 (4–6)3 (2–4)0.000
No comorbidities53 (26.5)353 (39.6)0.000
Clinical characteristics of patients with fatal outcome To evaluate the association of fatal outcomes with antithrombotic treatment, we performed a logistic regression multivariable analysis on patients considering the different quartiles of age. Antithrombotic treatment resulted independently associated with survival in patients aged ≥ 59 years (≥ 2° quartile) (Table 6).
Table 6

Multivariate analysis for death in patients aged ≥ 59 years

OR (95% CI)
Age1.1 (1.1–1.1)
Thromboprophylactic treatment (all dosages)0.4 (0.3–0.6)
Peripheral Obstructive Arterial Disease4.9 (1.6–15.1)
Neurological disease1.6 (1.0–2.5)
Multivariate analysis for death in patients aged ≥ 59 years

Discussion

In this study, we describe the characteristics of 1091 patients admitted to general wards for laboratory confirmed infection by COVID-19 during the first wave of the pandemic in Italy, focusing the attention on the antithrombotic treatment and its association with patient outcomes. Mortality of hospitalized patients with COVID-19 varies significantly among the published case series, ranging from 16% to more than 50% [6, 26–28]. In our cohort the mortality rate was 18.3%, higher than that reported from other studies conducted in China [29, 30]. However, it was similar to the case fatality rate observed by Wu C et al. [31] in the early period of the epidemic in China, in New York [8] and in Italy [1, 7, 32], In particular the CORIST study [32], conducted in Italian hospitals, reported almost the same mortality rate as in our study. The variability of the mortality rate described in the studies can be explained by different organization of hospitals and of out-of-hospital health services, leading to a different severity of patients for whom hospital admission is required. In any case, the mortality rate is very high when patients require treatment in ICU wards. Overall, published data identify advanced age as the principal risk factor for mortality, and for this reason the ongoing vaccination campaigns are directed firstly to the elderly subjects. In our cohort, patients with fatal outcome had a median age of 83 years, confirming the previous finding, instead a median age of 68 years was reported for survivors. In our patients, several other risk factors have been associated with fatal outcome, in particular hypertension, coronary artery disease, diabetes mellitus, active cancer, chronic obstructive pulmonary disease, and renal failure, as described from other authors [10]. In our cohort 769 (70.7%) patients were treated with antithrombotic drugs during hospital stay, mainly with enoxaparin, that was used in 92.3% of patients. These patients were more frequently affected by comorbidities, such as hypertension, AF, previous thromboembolism, neurological disease, peripheral artery obstructive disease (POAD), and cancer with respect to patients who did not receive thromboprophylaxis. Despite the elevated number of associated risk factors, the mortality rate in this group was lower than that recorded in patients who did not receive heparin. This finding was confirmed at multivariate analysis especially when older patients, aged ≥ 59 years, were considered. The protective effect of heparin was not detected in patients < 59 years, who showed a low mortality rate (only 4 patients had fatal outcome in this group). The presence of POAD and of neurological diseases were also independently associated with mortality, probably as a consequence of the high frequency of coronary artery disease and renal failure usually associated with these clinical conditions. Patients treated with heparin at prophylactic dosage showed a lower bleeding risk, in comparison to patients treated with sub therapeutic/ therapeutic dosages. The increased bleeding risk associated with the use of sub therapeutic/ therapeutic dosages of heparin has been reported by other authors [19, 20], and is one of the reasons why prophylactic intensity anticoagulation remains the recommended strategy, waiting for the results of ongoing randomized controlled trials [16, 18], even if a higher-intensity anticoagulation can be considered for patients judged to be at high thrombotic and low bleeding risk. Due to the severe pandemic diffusion, with a large number of patients requiring hospitalization, VTE events were diagnosed only when clinically evident. No systematic tests were performed to exclude asymptomatic DVT. Moreover, we cannot exclude that PE could be the cause of fatal outcome in patients with severe respiratory failure, because no systematic autoptic examination was performed. We acknowledge the limitations of our study. Firstly, it is a retrospective observational study, and the treatment used are in line with the local practice, without any indication by the study protocol. The study was designed to evaluate the type and dosage of heparin used, therefore the availability of data is high. However, the wide range of dosages used, imposes to analyze patients in two groups that include different dosages. Moreover, the severity of patients enrolled may be influenced by the availability of ICU beds that could have limited the number of patients who received mechanical ventilation. Strength of the study are the multicentric design, and the accuracy and completeness of follow-up for all patients enrolled. In conclusion, our data confirmed the high mortality rate of hospitalized patients affected by COVID-19 infection, even when the presentation of the disease was moderately severe leading to admission to general wards. Risk factors for fatal outcome were older age, associated POAD and neurological disease. Treatment with antithrombotic drugs was significantly associated with a 60% reduction of mortality rates. Patients who received sub therapeutic/ therapeutic dosages showed a significantly higher bleeding risk.
  2 in total

1.  COVID-19 and haemostasis: a position paper from Italian Society on Thrombosis and Haemostasis (SISET).

Authors:  Marco Marietta; Walter Ageno; Andrea Artoni; Erica De Candia; Paolo Gresele; Marina Marchetti; Rossella Marcucci; Armando Tripodi
Journal:  Blood Transfus       Date:  2020-04-08       Impact factor: 3.443

2.  Letter to the editor: COVID-19 cases among school-aged children and school-based measures in Hong Kong, July 2020.

Authors:  M W Fong; B J Cowling; G M Leung; P Wu
Journal:  Euro Surveill       Date:  2020-09
  2 in total
  4 in total

1.  Predictors of venous thromboembolism in COVID-19 patients: results of the COVID-19 Brazilian Registry.

Authors:  Warley Cezar da Silveira; Lucas Emanuel Ferreira Ramos; Rafael Tavares Silva; Bruno Barbosa Miranda de Paiva; Polianna Delfino Pereira; Alexandre Vargas Schwarzbold; Andresa Fontoura Garbini; Bruna Schettino Morato Barreira; Bruno Mateus de Castro; Carolina Marques Ramos; Caroline Danubia Gomes; Christiane Corrêa Rodrigues Cimini; Elayne Crestani Pereira; Eliane Würdig Roesch; Emanuele Marianne Souza Kroger; Felipe Ferraz Martins Graça Aranha; Fernando Anschau; Fernando Antonio Botoni; Fernando Graça Aranha; Gabriela Petry Crestani; Giovanna Grunewald Vietta; Gisele Alsina Nader Bastos; Jamille Hemétrio Salles Martins Costa; Jéssica Rayane Corrêa Silva da Fonseca; Karen Brasil Ruschel; Leonardo Seixas de Oliveira; Lílian Santos Pinheiro; Liliane Souto Pacheco; Luciana Borges Segala; Luciana Siuves Ferreira Couto; Luciane Kopittke; Maiara Anschau Floriani; Majlla Magalhães Silva; Marcelo Carneiro; Maria Angélica Pires Ferreira; Maria Auxiliadora Parreiras Martins; Marina Neves Zerbini de Faria; Matheus Carvalho Alves Nogueira; Milton Henriques Guimarães Júnior; Natália da Cunha Severino Sampaio; Neimy Ramos de Oliveira; Nicole de Moraes Pertile; Pedro Guido Soares Andrade; Pedro Ledic Assaf; Reginaldo Aparecido Valacio; Rochele Mosmann Menezes; Saionara Cristina Francisco; Silvana Mangeon Meirelles Guimarães; Silvia Ferreira Araújo; Suely Meireles Rezende; Susany Anastácia Pereira; Tatiana Kurtz; Tatiani Oliveira Fereguetti; Carísi Anne Polanczyk; Magda Carvalho Pires; Marcos André Gonçalves; Milena Soriano Marcolino
Journal:  Intern Emerg Med       Date:  2022-06-01       Impact factor: 5.472

2.  Effects of SARS-CoV-2 infections in patients with cancer on mortality, ICU admission and incidence: a systematic review with meta-analysis involving 709,908 participants and 31,732 cancer patients.

Authors:  Mehmet Emin Arayici; Nazlican Kipcak; Ufuktan Kayacik; Cansu Kelbat; Deniz Keskin; Muhammed Emin Kilicarslan; Ahmet Veli Kilinc; Sumeyye Kirgoz; Anil Kirilmaz; Melih Alihan Kizilkaya; Irem Gaye Kizmaz; Enes Berkin Kocak; Enver Kochan; Begum Kocpinar; Fatmanur Kordon; Batuhan Kurt; Hulya Ellidokuz
Journal:  J Cancer Res Clin Oncol       Date:  2022-07-13       Impact factor: 4.322

3.  ISTH guidelines for antithrombotic treatment in COVID-19.

Authors:  Sam Schulman; Michelle Sholzberg; Alex C Spyropoulos; Ryan Zarychanski; Helaine E Resnick; Charlotte A Bradbury; Lisa Broxmeyer; Jean Marie Connors; Anna Falanga; Toshiaki Iba; Scott Kaatz; Jerrold H Levy; Saskia Middeldorp; Tracy Minichiello; Eduardo Ramacciotti; Charles Marc Samama; Jecko Thachil
Journal:  J Thromb Haemost       Date:  2022-07-29       Impact factor: 16.036

4.  Heparanase Is a Putative Mediator of Endothelial Glycocalyx Damage in COVID-19 - A Proof-of-Concept Study.

Authors:  Carolin Christina Drost; Alexandros Rovas; Irina Osiaevi; Matthias Rauen; Johan van der Vlag; Baranca Buijsers; Rustem Salmenov; Alexander Lukasz; Hermann Pavenstädt; Wolfgang A Linke; Philipp Kümpers
Journal:  Front Immunol       Date:  2022-06-10       Impact factor: 8.786

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.