Literature DB >> 33907304

Clinical course and outcomes of COVID-19 in hematopoietic cell transplant patients, a regional report from the Middle East.

Riad El Fakih1, Alfadil Haroon2, Feras Alfraih2, Murtadha K Al-Khabori3, Mohsen Alzahrani4,5,6, Ahmad Alhuraiji7, Abdulaziz Hamadah7, Naif I AlJohani2, Bader Alahmari4,5,6, Mohammed F Essa5,6,8, Ibraheem H Motabi9, Imran K Tailor9, Reem S Almaghrabi2, Khalil Al-Farsi3, Ibraheem Abosoudah2, Mouhab Ayas2, Tusneem A Elhassan2, Ashraf M Suhebeh10, Syed Osman Ahmed2, Saud Alhayli2, Panayotis Kaloyannidis10, Ahmad Alsaeed6,11, Khalid Al Anezi10, Sameer Alamoudi6,11, Moussab Damlaj4,5,6, Hani Al Hashmi10, Mahmoud Aljurf2.   

Abstract

The coronavirus disease-2019 (COVID-19) caused by SARS Coronavirus 2 (SARS-CoV-2) is a potentially lethal infection. Cancer patients, and specifically hematopoietic cell transplant (HCT) recipients are severely immunocompromised and may be at a higher risk of a complicated course with this infection. We aimed to study the COVID-19 outcomes and severity in post HCT patients. We retrospectively reviewed post-HCT patients diagnosed with COVID-19 between March 15, 2020, and December 1, 2020 at 10 transplant centers across the Middle East. We identified 91 patients with confirmed SARS-CoV-2 infection across 10 transplant centers. The median age upon presentation with COVID-19 was 35. Fifty two patients were post allo-HCT while the remaining 39 patients were post auto-HCT. The median time from transplant was 14.9 months. Mortality rate was 4.4%. Hospital admission rate was 53%. ICU admission rate was 14%. Mechanical ventilation rate was 10%. Oxygen supplementation rate was 18%. Time from HCT to COVID-19 >6 months was associated with lower admission rates and lower rates of the "severity" composite endpoint. Antibody responses was seen 67% of evaluable patients. In this series of HCT recipients, we report overall favorable clinical outcomes for patients with COVID-19 and provide preliminary insights into the clinical course of this disease in this specific population.
© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

Entities:  

Mesh:

Year:  2021        PMID: 33907304      PMCID: PMC8078827          DOI: 10.1038/s41409-021-01312-y

Source DB:  PubMed          Journal:  Bone Marrow Transplant        ISSN: 0268-3369            Impact factor:   5.483


Introduction

In December 2019 cases of pneumonia of unknown etiology were reported in Wuhan, China. Eventually, the culprit was identified as the SARS-Coronavirus-2 virus (SARS-CoV-2), and the disease was called coronavirus disease‐2019 (COVID‐19) [1, 2]. The infection relentlessly spread worldwide causing more than 100 million cases and over 2 million COVID-19-related deaths so far (https://covid19.who.int accessed on 31 January, 2021) [3]. A number of vaccine and therapeutic trials were initiated in parallel with other efforts to better understand every aspect of the virus (transmission modes, host-susceptibility, complications, symptoms, carriers, etc.) [4-7]. These efforts culminated in the approval of two vaccines so far and a number of medications under the “emergency use authorization” [8, 9] (https://www.fda.gov/emergency-preparedness-and-response/mcm-legal-regulatory-and-policy-framework/emergency-use-authorization#coviddrugs). Typically, the disease affects the upper respiratory tract (URT) manifesting as cough, fever among other URT symptoms. However, it can progress and involve the lower respiratory tract (LRT) to cause pneumonia and possibly acute respiratory distress syndrome [10, 11]. Several factors and co-morbidities have been found to correlate with a tendency of a severe course, higher rates of intensive care admission and undesirable outcomes such as age >60, lung diseases, hypertension, renal diseases, cancer, diabetes, etc.) [12-23]. Hematopoietic cell transplant (HCT) patients may be an especially vulnerable group. These patients frequently develop lung complications after transplant and often are immunocompromised, so their COVID-19 clinical course is expected to be severe. We herein report the course and outcomes of 91 cases of COVID-19 in post allogeneic or autologous HCT patients from ten Middle East centers, we also analyze the impact of different risk factors that may affect the severity of the disease course in this population.

Patients and methods

Patient population

HCT recipients who developed COVID-19 post-transplant and reported to ten HCT tertiary care centers in the Middle East. The medical records of these patients were reviewed using the database of each participating institution. Inclusion criteria: HCT recipients (autologous or allogeneic) of any age (pediatric and adult) with laboratory-confirmed COVID-19 by nasal or oropharyngeal swab and polymerase chain reaction (PCR) detection. Exclusion criteria: non HCT patients and patients without PCR confirmation of COVID-19.

Data collection

a retrospective chart review of HCT recipients who developed COVID-19 and reported to HCT centers in the Middle East. The primary objective was to describe the outcomes and severity of COVID-19 in post-HCT patients by evaluating the hospital admission rate, WHO-severity stage of COVID-19 and a “severity” composite end point consisting of admission rate to the intensive care unit (ICU), need for supplemental oxygen, need for mechanical ventilation (MV) and mortality. The severity stages of COVID-19 were defined as mild, moderate, severe and very severe according the WHO classification [24]. The secondary objectives were to estimate the impact of a number of factors (age, sex, BMI [body mass index], type and number of transplants, type and intensity of the conditioning regimen, being on immunosuppression, current status of the underlying disease, use of prophylactic antimicrobials, time from transplant to COVID-19, underlying comorbidities) on COVID-19 outcomes and severity. For the admitted group of patients, we studied the impact of different available laboratory values (WBC [white blood cells], lymphocyte count, neutrophil count, platelet count, ferritin level, ESR [erythrocyte sedimentation rate], CRP [C-reactive protein] and albumin level), and chest X-ray findings on the rates of MV, ICU admission, oxygen need, and mortality. In addition, we studied the number of patients who converted to negative nasopharyngeal swab testing for SARS-CoV-2 by PCR and the number of patients who developed antibodies to SARS-CoV-2 by serology testing in this population. PCR and antibodies testing was carried out every 7 days in tested patients. The hospitals’ Institutional Review Board approved the study.

Statistical analysis

Patient’s characteristics were summarized using frequencies with percentages for categorical variables and medians with interquartile range for continuous variables. Association between proposed risk factors and COVID-19 severity was evaluated using Chi-square test. The impact of different proposed risk on COVID-19 severity was evaluated using logistic regression multivariate analysis whenever applicable.

Results

Patients’, underlying disease and transplant characteristics

A total of 91 patients met the eligibility criteria, the median age upon presentation with COVID-19 was 35. The median time from transplant to COVID-19 was 14.9 (IQR: 16.3–38.9) months. Thirty-eight patients (42%) were females and 53 (58%) were males. Forty-seven patients (52%) had no prior comorbidities while 44 (48%) had prior comorbidities with 15/44 (34%) having more than one comorbidity. Fifty-two (57%) patients had allo-HCT and 39 (43%) had an auto-HCT. Twelve (13%) allo-HCT patients had active GvHD (11 cGvHD and 1 aGvHD) upon COVID-19 presentation. Eighty-one (89%) patients received myeloablative regimen (MAC) and 10 patients (11%) underwent reduced intensity conditioning (RIC), 20 patients (22%) had TBI (total body irradiation) based conditioning and 70 (77%) had non-TBI conditioning. Sixty-four (70%) patients were on prophylactic antimicrobials and 27 (30%) were not as part of their transplant prophylaxis medications. Forty-seven (52%) patients were on immunosuppressive medications (tacrolimus, cyclosporine, mycophenolate mofetil, and/or steroids) while 42 (46%) were not. The majority of patients (88 patients or 97%) were in remission, while three patients (3%) had active disease at the time of COVID-19. Table 1 is a pre-COVID-19 summary of the patients’, underlying disease and HCT characteristics.
Table 1

Pre-COVID-19 summary of the patients’, underlying disease and HCT characteristics.

Number of patients91 (100%)
Median Age upon COVID-19 infection35 years
   <1815 (16%)
   18–4032 (35%)
   >4044 (48%)
Sex
   Female38 (42%)
   Male53 (58%)
BMI
   <3066 (73%)
   >3024 (26%)
   missing01 (01%)
Comorbidity
   None47 (52%)
   Active GvHD12 (13%)
   DM09 (10%)
   HTN06 (07%)
   Cardiovascular04 (04%)
   Pulmonary03 (03%)
   Other organs dysfunction10 (11%)
   Multiple comorbidities15 (16%)
Hematological or underlying disease
   Benign21 (23%)
   Leukemia27 (30%)
   Lymphoma26 (29%)
   Myeloma16 (18%)
   Solid tumors01 (01%)
Stem cell Transplant type
   Allogeneic52 (57%)
   Autologous39 (43%)
Number of transplants
   One81 (89%)
   Two10 (11%)
Conditioning intensity
   MAC81 (89%)
   RIC10 (11%)
Conditioning type
   TBI20 (22%)
   Non-TBI70 (77%)
   Missing01 (01%)
   Median time from HCT to COVID-1914.9 (IQR: 16.3 to 38.9) months
   <6 months23 (25%)
   6–12 months15 (16%)
   >12 months53 (59%)
Prophylactic antimicrobials before COVID-19
   Antiviral23 (25%)
   Antibacterial04 (04%)
   Both37 (41%)
   None27 (30%)
Immunosuppressant upon COVID-19
   No42 (46%)
   Yes47 (52%)
   Missing02 (02%)
Disease status
   Active03 (03%)
   In remission or not applicable (benign or solid tumors)88 (97%)
Pre-COVID-19 summary of the patients’, underlying disease and HCT characteristics.

Patient’s treatment, clinical and paraclinical characteristics during COVID-19

Upon confirming the diagnosis, 78 (86%) patients had symptoms while 13 (14%) patients were asymptomatic (these patients were tested after a household member tested positive, all reported subjective fever when presenting for testing but we could not document objective fever). The most frequent symptoms on presentation were fever in 51 patients (56%), followed by cough in 37 patients (41%) and shortness of breath in 22 patients (24%). Forty-four (48%) patients received COVID-19 directed therapies while 47 (52%) did not. Sixty-two (68% of total patients) had a chest X-ray, of these 36 (58%) were abnormal (presence of infiltrates or consolidation). Seventy-one (78%) patients had WBC count check, of these 27 (38%) had lower than normal level and 9 (13%) had higher than normal level. Seventy-one (78%) patients had platelet count check, of these 32 (45%) had lower than normal level and 2 (3%) had higher than normal level. Sixty-nine (76%) patients had lymphocyte count check, of these 36 (52%) had lower than normal level and 2 (3%) had higher than normal level. Sixty-nine (76%) patients had neutrophil count check, of these 21 (30%) had lower than normal level and 9 (13%) had higher than normal level. Fifty-seven (63%) patients had albumin level check, of these 44 (77%) had lower than normal level. Forty-five patients (49%) had ferritin level check, of these 30 (67%) had higher than normal level. Fifty-two (57%) patients had CRP level check, of these 45 (87%) had higher than normal level. Table 2 provides a detailed summary of the patients’ treatment, clinical and paraclinical characteristics during COVID-19.
Table 2

summary of the patients’ treatment, clinical and paraclinical characteristics during COVID-19.

Patient symptoms
   Symptomatic78 (86%)
   Asymptomatic13 (14%)
Presenting symptoms
   Fever51 (56%)
   Cough37 (41%)
   SOB22 (24%)
   Runny nose18 (20%)
   Fatigue17 (19%)
   Throat pain12 (13%)
   Headache10 (11%)
 Diarrhea, vomiting, loss of smell, dizziness, myalgia abdominal pain and chest pain<10%
COVID-19 and associated infections therapy
   Azithromycin05 (05%)
   Hydrochloroquine00 (00%)
   Azithromycin + Hydrochloroquine10 (11%)
   Antibiotics21 (23%)
   Steroids06 (07%)
   Others02 (02%)
   None47 (52%)
Chest X-ray62 (68% of total patients)
   Normal26 (42%)
   Abnormal36 (58%)
White blood cell count71(78% of total patients)
   Normal35 (49%)
   High09 (13%)
   Low27 (38%)
Lymphocyte count69 (76% of total patients)
   Normal31 (45%)
   High02 (03%)
   Low36 (52%)
Neutrophil count69 (76% of total patients)
   Normal39 (57%)
   High09 (13%)
   Low21 (30%)
Platelet count71(78% of total patients)
   Normal37 (52%)
   High02 (03%)
   Low32 (45%)
Ferritin level45 (49% of total patients)
   Normal12 (27%)
   High30 (67%)
   Low03 (06%)
ESR level32 (35% of total patients)
   Normal08 (25%)
   High24 (75%)
CRP level52 (57% of total patients)
   Normal07 (13%)
   High45 (87%)
Albumin level57 (63%of total patients)
   Normal13 (23%)
   Low44 (77%)
summary of the patients’ treatment, clinical and paraclinical characteristics during COVID-19.

Outcomes

Forty-five (50%) patients had mild, 32 (35%) had moderate, 5 (5%) had severe and 9 (10%) had very severe WHO-COVID-19 stage. Forty-eight (53%) patients needed admission to the hospital and 43 (47%) were managed at home with supportive measures. Of the 48 admitted patients, 13 (16% of the total and 31% of the admitted patients) needed ICU admission, 16 (18% of the total and 33% of the admitted patients) needed oxygen supplementation, 9 (10% of the total and 19% of the admitted patients) needed mechanical ventilation and 4 (4.4% of the total and 8.3% of the admitted patients) died. The cause of death was sepsis secondary to multidrug resistant bacteria (2 Klebsiella, one Acinetobacter and one Pseudomonas). Looking at mortality according to specific subgroups, one patient died in the group of patient transplanted within 6 months of HCT and 3 patients died in the group transplanted >12 months from COVID-19, three auto-HCT died and one allo-HCT, one patient died in the group of patients younger than 18, one in the group of patients aged 18–40 and two died in the group of patients older than 40 years. Nine patients (10% of the total and 19% of the admitted patients) developed acute kidney injury and only one had line associated thrombosis. Sixty-six patients had serial (weekly) follow up nasopharyngeal-swab PCR, 51 one of them converted to negative PCR at a median time of 37 days (14–116 days). Twenty-seven patients were checked for the presence of anti-SARS-CoV-2 antibodies, 18 of them tested positive at a median time of 34 days. These outcomes are summarized in Table 3.
Table 3

Outcomes of HCT patients after COVID-19.

COVID-19 stage
   Mild45 (50%)
   Moderate32 (35%)
   Severe05 (05%)
   Very severe09 (10%)
Admission
   Yes48 (53%)
   No43 (47%)
ICU admission
   Yes13 (14%)
   No78 (86%)
Mechanical ventilation
   Yes09 (10%)
   No82 (90%)
Oxygen supplementation
   Yes16 (18%)
   No75 (82%)
Patient status
   Alive87 (95.6%)
   Dead04 (4.4%)
Follow up nasopharyngeal-swab PCR66 (72.5%)
   Negative51 (77%)
   Positive15 (23%)
Anti-SARS-CoV-2 antibodies27 (30%)
   Positive18 (67%)
   Negative9 (33%)
AKI09 (10%)
Thrombosis01 (01%)
Outcomes of HCT patients after COVID-19.

Impact of different risk factors on COVID-19 severity outcomes for all 91 patients

The hospital admission rate for COVID-19 patients transplanted within 6 months was 73.9% compared to 45.6% for COVID-19 patients transplanted in more than 6 months (p value = 0.02), with an OR = 9.04 (95%.CI: 1.5–13.6) (p value = 0.001). Patients who were not on any prophylactic antimicrobials (as part of their transplant treatment course) before infection with SARS-CoV-2 had an admission rate of 74% as compared to 48.1% for patients on a combination of anti-virial and antibacterial (p value = 0.038). Patients who were receiving antivirals only were at higher risk of hospital admission compared to those on a combination (antiviral and antibacterial) prophylaxis (OR = 9.2 (95%.CI: 2.5–34.08), p value = 0.001). For the “severity” composite end point, patients transplanted within 6 months were at higher risk compared to patients transplanted in more than 6 months of COVID-19 (34.8% vs.16.2%), p value = 0.05. All the other analyzed risk factors (age, sex, BMI, type, and number of transplants, type and intensity of the conditioning regimen, being on immunosuppression, current status of the underlying disease and underlying comorbidities) did not have a significant association with the studied outcomes (WHO-severity stage of COVID-19 and the “severity” composite end point). Multivariate analysis revealed that time from HCT to COVID-19 infection and prophylactic treatment were significantly associated with the hospital admission in multivariate analysis (p-value = 0.001 and 0.004, respectively). As mentioned in the methods section, for the subgroup of patients admitted to the hospital we studied the impact of the same risk factors in addition to the chest X-ray findings and the available laboratory values upon admission on the rates of mechanical ventilation, ICU admission, oxygen need and mortality. 43% of patients with high neutrophil count required MV, while no patient with low neutrophil count required MV and 16.4% of patients with normal neutrophil count needed MV (p value = 0.037). 70% of males compared to 13% of females required ICU admission (p value = 0.036). Ninety three % of patients with abnormal chest X-ray required oxygen therapy while, 53% of patients with normal chest X-ray required oxygen therapy (p value = 0.01). 33% of patients with very severe COVID-19 infection died.

Discussion

With data emerging about the detrimental course of certain patients’ subgroups with this infection, particularly cancer patients [18-23], we were interested to study a special group of patients that is known to have a complicated course with infections, the post HCT group of patients. With around 90 thousand HCT carried out annually and around 1.5 million post-HCT patients worldwide, a significant number of these can develop COVID-19 [25, 26]. The impact of this new infection on this specific subgroup of patients is largely unknown. The cases reported early in the course of the pandemic were alarming, but this can be attributed to reporting bias [27-29]. Case series were then reported. A pediatric transplant group reported the outcomes of 8 patients, five of them (62.5%) were admitted to the hospital and 2 needed ICU care, one patient died (12.5%) [30]. The first consecutive 11 post-HCT patients with COVID-19 presenting to our center had a smooth course, five of seven tested patients developed anti SARS-CoV2 antibodies and all of them recovered [26]. However, HCT-patients are a heterogeneous group and the HCT procedure is very complex, so drawing firm conclusions from a small number of patients is impossible. Larger datasets were then published. A report from Spain included a mix of hematologic malignancies and transplant patients (58 post auto-HCT and 65 post allo-HCT) showed that transplant recipients had lower mortality compared to hematologic malignancies patients (17% for auto-HCT, 18% for allo-HCT and 31% for hematologic malignancies patients, p = 0.02). Additionally, uncontrolled hematological malignancy, neutropenia, limited performance status, age > 70 and elevated CRP were associated with higher mortality for the whole group, not for the transplant patients specifically [31]. Another study reported on 14 auto-HCT and 20 allo-HCT patients with a median time to COVID-19 of 17.4 months. 41% had > moderate WHO-COVID-19 severity stage, chest X-ray infiltrates were found in 75% of patients, 74% of patients were hospitalized, 32% needed ICU admission with 73% of them needing intubation and mortality was 21%. Age > 40, being on steroid prior to COVID-19, transplant within 1 year, hemoglobin <10 g/dl and platelet count <150 (×109/L) significantly increased mortality [32]. A study from Italy, reported a mortality of 35% and 33% in post allo-HCT and post auto-HCT patients, respectively [33]. Memorial Sloan Kettering Cancer Center reported the outcomes of 77 cellular therapy patients (35 post allo-HCT, 37 post auto-HCT and 5 post chimeric antigen receptor-T cell therapy). Thirty day mortality was 22% with significantly worse course (defined as death and nonrebreather oxygen mask) in patients with comorbidities, infiltrates on chest X-ray and neutropenia. The mortality rate for hospitalized patients was 41% (thought to be driven by active malignancy cases). The outcomes were not different based on the underlying hematologic malignancy. Thirty-eight patients (49%) had antibody testing done at a median of 37 days after diagnosis with 66% of those developing antibodies. 50% of their patients were managed as outpatient. The time from cellular therapy did not impact the outcomes in their analysis [34]. The largest reported series to date comes from the Center for International Blood and Marrow Transplant Research (CIBMTR) recent report [35] (of note some patients included in that analysis might have been previously reported in the other two published North American cohorts [32, 34]). Of the 318 reported transplant recipients 82% were diagnosed by nasal swab PCR, 2% based on symptoms and 15% had no diagnostic method reported; 184 were allo-HCT (36% MSD, 27% MUD, 37% alternate donor, and 18% were receiving immunosuppression within 6 months of COVID-19) and 134 were auto-HCT recipients. The median time from HCT to COVID-19 diagnosis was 17 months for allo-HCT and 23 months for auto-HCT recipients. The median age was 47 years for allo-HCT and 60 years for auto-HCT recipients. 49% had mild disease while mechanical ventilation was required in 14% of patients. At 30 days after COVID-19, OS was 68% and 67% for allo-HCT and auto-HCT patients respectively. Male sex, age >50, and COVID-19 within 12 months of HCT were associated with a higher risk of mortality among allo-HCT recipients. Lymphoma, as the underlying disease, was associated with a higher risk of mortality compared with plasma cell disorder or myeloma in auto-HCT recipients. Absolute lymphocyte count <0·3 × 109 cells/L at COVID-19 diagnosis was associated with worse survival. Race, ethnicity, HCT-comorbidity index, and immunosuppression in the 6 months before COVID-19 were not associated with increased mortality [35]. We aimed to collect a larger number of patients and variables to better understand the impact of this pandemic on post-HCT patients. The majority of patients were symptomatic (86%), with fever, cough and shortness of breath being the top three presenting symptoms. The mortality rate was 4.4%, which is lower than all the reported series [31-35], despite the fact that a comparable number of our patients required ICU admission and MV. This can be explained by a number of factors, namely the younger age of our cohort and lower comorbidity rates (52% had no comorbidities and only 10% had DM). Important to note that all the patients reported in this cohort were treated in tertiary care centers, where access to advanced care was easier compared to other countries where the health care systems were overwhelmed by the high numbers of COVID-19. As reported in other series, we confirm the time from HCT to COVID-19 is significantly associated with worse outcomes [32, 35]. For the subgroup of admitted patients high neutrophil count was associated with higher need for MV, this finding is probably a surrogate of severe inflammation or associated bacterial infection. Admitted males required more ICU admission in our series and this is in line of the worst outcomes in males reported by the CIBMTR study [35], and other non-HCT studies showing a skewed infectivity and increased mortality in males [13, 36, 37]. As expected, we report that patients with abnormal chest X-ray findings required more oxygen supplementation and patients with very severe COVID-19 stage had a high mortality rate (33.3%). Our study, in line with others [34], shows that around two third of HCT-patients are able to mount an antibody response (with a median time of 34 days) and around 77% will convert to PCR negative (with a median time of 37 days), despite earlier reports suggesting that these patients may not develop antibodies and stay PCR positive long time [38]. In line with a number of other reports but not all [30–32, 34], our data show that mortality is lower than the mortality in hematologic malignancies patients [33, 39] and the mortality of solid organ transplant patients [40-42] but higher than the mortality in the general population. This may be explained by the selective selection of fit and young patients to undergo HCT and by the theoretical lower intensity of lung inflammation from the impaired immune response in HCT patients. Important to note the relatively young age of our reported cohort (median age of 35), and the fact that the majority of our patients had the COVID-19 infection more than 12 months after transplant (median time between COVID-19 presentation and transplant was 14.9 months).

Conclusion

We report a comprehensive description of the outcomes of hematopoietic cell recipients after COVID-19. This analysis provides a deeper understating of this pandemic in this subgroup of patients. An extensive list of possible factors that impact the severity of COVID-19 were analyzed. Our study suffers from the usual limitations of retrospective studies; however the fact that it exclusively included HCT patients with a modest yet reasonable number and a comprehensive set of data, it helps in drawing important conclusions and set the stage to investigate further research questions related to COVID-19 in HCT patients, such as the effect of immune reconstitution on COVID-19 outcomes, the impact of immunosuppression and the lack of immune response obviating the severe spectrum of the COVID-19 disease, etc. Finally, awaiting effective therapies and a better understanding of this infection, we urge to apply and stress the importance of preventive measures. We recommend large scale vaccination for patients, their families and caretakers according to the published guidelines by transplant societies (www.ebmt.org/sites/default/files/2020-12/COVID%20vaccines%20version%202.03%20with%20table.pdf). We could not assess the effects of COVID-19 directed therapies on the outcomes of our patients due to the rapidly changing therapeutic protocols and the limited number of patients on each protocol.
  38 in total

1.  Developing Covid-19 Vaccines at Pandemic Speed.

Authors:  Nicole Lurie; Melanie Saville; Richard Hatchett; Jane Halton
Journal:  N Engl J Med       Date:  2020-03-30       Impact factor: 91.245

2.  COVID-19 after hematopoietic stem cell transplantation: report of two children.

Authors:  Gabriele Zamperlini-Netto; Juliana Folloni Fernandes; Julia Lopes Garcia; Andreza Alice Feitoza Ribeiro; Luis Fernando Aranha Camargo; Celso de Moraes Terra; Nelson Hamerschlak
Journal:  Bone Marrow Transplant       Date:  2020-09-16       Impact factor: 5.483

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.  Risk factors and outcome of COVID-19 in patients with hematological malignancies.

Authors:  José Luis Piñana; Rodrigo Martino; Irene García-García; Rocío Parody; María Dolores Morales; Gonzalo Benzo; Irene Gómez-Catalan; Rosa Coll; Ignacio De La Fuente; Alejandro Luna; Beatriz Merchán; Anabelle Chinea; Dunia de Miguel; Ana Serrano; Carmen Pérez; Carola Diaz; José Luis Lopez; Adolfo Jesús Saez; Rebeca Bailen; Teresa Zudaire; Diana Martínez; Manuel Jurado; María Calbacho; Lourdes Vázquez; Irene Garcia-Cadenas; Laura Fox; Ana I Pimentel; Guiomar Bautista; Agustin Nieto; Pascual Fernandez; Juan Carlos Vallejo; Carlos Solano; Marta Valero; Ildefonso Espigado; Raquel Saldaña; Luisa Sisinni; Josep Maria Ribera; Maria Jose Jimenez; Maria Trabazo; Marta Gonzalez-Vicent; Noemí Fernández; Carme Talarn; Maria Carmen Montoya; Angel Cedillo; Anna Sureda
Journal:  Exp Hematol Oncol       Date:  2020-08-25

5.  A Report of 85 Cases of COVID-19 and Abdominal Transplantation From a Single Center: What Are the Associated Factors With Death Among Organ Transplantation Patients.

Authors:  Seyed Ali Malekhosseini; Hamed Nikoupour; Siavash Gholami; Alireza Shamsaeefar; Peyman Arasteh; Kourosh Kazemi; Masood Dehghani; Hesameddin Eghlimi; Hadi Raeisi Shahraki; Jamshid Roozbeh; Abbas Rezaianzadeh; Saman Nikeghbalian
Journal:  Transplantation       Date:  2021-01-01       Impact factor: 4.939

6.  Patients with Cancer Appear More Vulnerable to SARS-CoV-2: A Multicenter Study during the COVID-19 Outbreak.

Authors:  Mengyuan Dai; Dianbo Liu; Miao Liu; Fuxiang Zhou; Guiling Li; Zhen Chen; Zhian Zhang; Hua You; Meng Wu; Qichao Zheng; Yong Xiong; Huihua Xiong; Chun Wang; Changchun Chen; Fei Xiong; Yan Zhang; Yaqin Peng; Siping Ge; Bo Zhen; Tingting Yu; Ling Wang; Hua Wang; Yu Liu; Yeshan Chen; Junhua Mei; Xiaojia Gao; Zhuyan Li; Lijuan Gan; Can He; Zhen Li; Yuying Shi; Yuwen Qi; Jing Yang; Daniel G Tenen; Li Chai; Lorelei A Mucci; Mauricio Santillana; Hongbing Cai
Journal:  Cancer Discov       Date:  2020-04-28       Impact factor: 39.397

7.  Outcomes of patients with hematologic malignancies and COVID-19: a report from the ASH Research Collaborative Data Hub.

Authors:  William A Wood; Donna S Neuberg; J Colton Thompson; Martin S Tallman; Mikkael A Sekeres; Laurie H Sehn; Kenneth C Anderson; Aaron D Goldberg; Nathan A Pennell; Charlotte M Niemeyer; Emily Tucker; Kathleen Hewitt; Robert M Plovnick; Lisa K Hicks
Journal:  Blood Adv       Date:  2020-12-08

8.  The Advisory Committee on Immunization Practices' Interim Recommendation for Use of Moderna COVID-19 Vaccine - United States, December 2020.

Authors:  Sara E Oliver; Julia W Gargano; Mona Marin; Megan Wallace; Kathryn G Curran; Mary Chamberland; Nancy McClung; Doug Campos-Outcalt; Rebecca L Morgan; Sarah Mbaeyi; José R Romero; H Keipp Talbot; Grace M Lee; Beth P Bell; Kathleen Dooling
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2021-01-01       Impact factor: 35.301

9.  Comorbidity and its impact on 1590 patients with COVID-19 in China: a nationwide analysis.

Authors:  Wei-Jie Guan; Wen-Hua Liang; Yi Zhao; Heng-Rui Liang; Zi-Sheng Chen; Yi-Min Li; Xiao-Qing Liu; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Chun-Quan Ou; Li Li; Ping-Yan Chen; Ling Sang; Wei Wang; Jian-Fu Li; Cai-Chen Li; Li-Min Ou; Bo Cheng; Shan Xiong; Zheng-Yi Ni; Jie Xiang; Yu Hu; Lei Liu; Hong Shan; Chun-Liang Lei; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Lin-Ling Cheng; Feng Ye; Shi-Yue Li; Jin-Ping Zheng; Nuo-Fu Zhang; Nan-Shan Zhong; Jian-Xing He
Journal:  Eur Respir J       Date:  2020-05-14       Impact factor: 16.671

10.  COVID-19 in persons with haematological cancers.

Authors:  Wenjuan He; Lei Chen; Li Chen; Guolin Yuan; Yun Fang; Wenlan Chen; Di Wu; Bo Liang; Xiaoting Lu; Yanling Ma; Lei Li; Hongxiang Wang; Zhichao Chen; Qiubai Li; Robert Peter Gale
Journal:  Leukemia       Date:  2020-04-24       Impact factor: 12.883

View more
  4 in total

Review 1.  Coronavirus disease 2019 in immunocompromised patients: a comprehensive review of coronavirus disease 2019 in hematopoietic stem cell recipients.

Authors:  Antoine Lafarge; Asma Mabrouki; Elise Yvin; Swann Bredin; Yannick Binois; Raphael Clere-Jehl; Elie Azoulay
Journal:  Curr Opin Crit Care       Date:  2022-02-01       Impact factor: 3.687

2.  Perceptions and Experiences of Hematopoietic Cell Transplantation Patients During the COVID-19 Pandemic.

Authors:  Lathika Mohanraj; R K Elswick; Molly Buch; Jennifer M Knight; Jeanine Guidry
Journal:  Semin Oncol Nurs       Date:  2022-03-10       Impact factor: 3.527

3.  Factors that predict severity of infection and seroconversion in immunocompromised children and adolescents with COVID-19 infection.

Authors:  Mayada Abu Shanap; Maher Sughayer; Osama Alsmadi; Ismail Elzayat; Abeer Al-Nuirat; Abdelghani Tbakhi; Iyad Sultan
Journal:  Front Immunol       Date:  2022-08-03       Impact factor: 8.786

Review 4.  A Portrait of SARS-CoV-2 Infection in Patients Undergoing Hematopoietic Cell Transplantation: A Systematic Review of the Literature.

Authors:  Adrian J M Bailey; Aidan M Kirkham; Madeline Monaghan; Risa Shorr; C Arianne Buchan; Christopher Bredeson; David S Allan
Journal:  Curr Oncol       Date:  2022-01-13       Impact factor: 3.677

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.