1
|
Chen J, He ZX, Wang FK. RETRACTED ARTICLE: Evaluation of ferritin level in COVID-19 patients and its inflammatory response. APPLIED NANOSCIENCE 2023; 13:3121. [PMID: 35136706 PMCID: PMC8812356 DOI: 10.1007/s13204-021-02115-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Accepted: 09/24/2021] [Indexed: 01/08/2023]
Affiliation(s)
- Jing Chen
- Department of Clinical Laboratory, The 980th Hospital of PLA Joint Logistics Support Force, Shijiazhuang, 050082 China
| | - Zheng-Xin He
- Department of Clinical Laboratory, The 980th Hospital of PLA Joint Logistics Support Force, Shijiazhuang, 050082 China
| | - Fun-Kun Wang
- Department of Clinical Laboratory, The 980th Hospital of PLA Joint Logistics Support Force, Shijiazhuang, 050082 China
| |
Collapse
|
2
|
Tartibian B, Khayat SMA, Maleki BH, Chehrazi M. The Effects of Exercise Training on Recovery of Biochemical and Hematological Outcomes in Patients Surviving COVID-19: A Randomized Controlled Assessor-Blinded Trial. SPORTS MEDICINE - OPEN 2022; 8:152. [PMID: 36562867 PMCID: PMC9782268 DOI: 10.1186/s40798-022-00546-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/23/2022] [Accepted: 12/13/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND No previous research has investigated the direct effects of exercise interventions on COVID-19 outcomes. The aim is to investigate the effect of 8 weeks of home-based moderate-intensity continuous training (MICT), resistance training (RT), and combined aerobic and resistance training (CET) on biochemical and hematologic markers associated with COVID-19 symptoms and severity in COVID-19 survivors. METHODS A total of 547 male and female COVID-19 survivors were screened, and 296 (aged 20-93 years) were randomly assigned in a 1:1:1:1 ratio to one of four groups: MICT (n = 74), RT (n = 74), CET (n = 74), or non-exercise (NON-EX, n = 74). Blood samples were taken at baseline, at week 4, and week 8 after training. RESULTS After the intervention, compared with the NON-EX group, all 3 MICT, RT, and CET interventions caused significant improvements in the levels of creatine kinase (CK), lactate dehydrogenase (LDH), C-reactive protein (CRP), troponin-I, d-dimer, creatinine, urea, potassium (K), sodium (Na), white blood cell (WBC), neutrophils, lymphocytes, red blood cells (RBC), platelets, hemoglobin, and hematocrit concentrations (P < 0.05). CET was effectively superior to MICT and RT in the improvements in the biochemical and hematological variables studied (P < 0.05). CONCLUSIONS Overall, the present study demonstrates that long-term MICT plus RT interventions have a synergistic effect in accelerating and enhancing the recovery in patients surviving COVID-19. Trial registration IRCT20160605028270N3, 6 September 2020.
Collapse
Affiliation(s)
- Bakhtyar Tartibian
- grid.444893.60000 0001 0701 9423Department of Exercise Physiology, Faculty of Physical Education and Sport Sciences, Allameh Tabataba’i University, Tehran, Iran
| | - Sirwan Mohammad Amini Khayat
- grid.412763.50000 0004 0442 8645Department of Exercise Physiology, Faculty of Physical Education and Sport Science, Urmia University, Urmia, Iran
| | - Behzad Hajizadeh Maleki
- grid.8664.c0000 0001 2165 8627Department of Exercise Physiology and Sports Therapy, Justus-Liebig-University, Kugelberg 62, Giessen, Germany
| | - Mohammad Chehrazi
- grid.411495.c0000 0004 0421 4102Department of Biostatistics and Epidemiology School of Public Health, Babol University of Medical Sciences, Babol, Iran
| |
Collapse
|
3
|
Yousfi N, Fathallah I, Attoini A, Jones M, Henchir M, Ben Hassine Z, Kouraichi N, Ben Salah N. Prognostic Value of Routine Blood Parameters in Intensive Care Unit COVID-19 Patients. EJIFCC 2022; 33:121-130. [PMID: 36313910 PMCID: PMC9562480] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Laboratory medicine has an important role in the management of COVID-19. The aim of this study was to analyze routinely available blood parameters in intensive care unit COVID-19 patients and to evaluate their prognostic value. PATIENTS AND METHODS This is a retrospective, observational, single-center study including consecutive severe COVID-19 patients who were admitted into the intensive care unit of Ben Arous Regional Hospital in Tunisia from 28 September 2020 to 31 May 2021. The end point of the study was either hospital discharge or in-hospital death. We defined two groups based on the outcome: survivors (Group 1) and non-survivors (Group 2). Demographical, clinical, and laboratory data on admission were collected and compared between the two groups. Univariate and multivariate logistic regression analysis were performed to determine the predictive factors for COVID-19 disease mortality. RESULTS A total of 150 patients were enrolled. Eighty patients (53.3%) died and 70 (46.7%) survived during the study period. Based on statistical analysis, median age, Simplified Acute Physiology Score (SAPS II) with the serum levels of urea, creatinine, total lactate dehydrogenase (LDH), creatine kinase, procalcitonin and hs-troponin I were significantly higher in non-survivors compared to survivors. On multivariate analysis, LDH activity ≥ 484 U/L (OR=17.979; 95%CI [1.119-2.040]; p = 0.09) and hs-troponin I ≥ 6.55 ng/L (OR=12.492; 95%CI [1.691-92.268]; p = 0.013) independently predicted COVID-19 related mortality. CONCLUSION Total LDH and hs-troponin I were independent predictors of death. However, further clinical investigations with even larger number of patients are needed for the evaluation of other laboratory biomarkers which could aid in assessing the prediction of mortality.
Collapse
Affiliation(s)
- Nada Yousfi
- Clinical Laboratory, Regional Hospital of Ben Arous, Ben Arous, Tunisia, Faculty of Pharmacy, Monastir University, Monastir, Tunisia,Corresponding author: Dr. Nada Yousfi Clinical Laboratory Regional Hospital of Ben Arous Ben Arous, Tunisia Faculty of Pharmacy Monastir University Monastir, Tunisia Phone: +216 97967674 E-mail:
| | - Ines Fathallah
- Intensive Care Unit, Regional Hospital of Ben Arous, Ben Arous, Tunisia, Faculty of Medicine, Tunis el Manar University, Tunis, Tunisia
| | - Amal Attoini
- Clinical Laboratory, Regional Hospital of Ben Arous, Ben Arous, Tunisia, Faculty of Medicine, Tunis el Manar University, Tunis, Tunisia
| | - Meriem Jones
- Dermatology Service, Charles Nicolle Hospital, Tunis, Tunisia, Faculty of Medicine, Tunis el Manar University, Tunis, Tunisia
| | - Mariem Henchir
- Clinical Laboratory, Regional Hospital of Ben Arous, Ben Arous, Tunisia, Faculty of Medicine, Tunis el Manar University, Tunis, Tunisia
| | - Zeineb Ben Hassine
- Clinical Laboratory, Regional Hospital of Ben Arous, Ben Arous, Tunisia, Faculty of Medicine, Monastir University, Monastir, Tunisia
| | - Nadia Kouraichi
- Intensive Care Unit, Regional Hospital of Ben Arous, Ben Arous, Tunisia, Faculty of Medicine, Tunis el Manar University, Tunis, Tunisia
| | - Naouel Ben Salah
- Clinical Laboratory, Regional Hospital of Ben Arous, Ben Arous, Tunisia, Faculty of Medicine, Tunis el Manar University, Tunis, Tunisia
| |
Collapse
|
4
|
Jouda J, Abdul Kareem Jabbar E, Salih Abdulhadi F, Atiyah Kamil Y. Assessment of some Physiological Biomarkers in COVID-19 Patients in Thi-Qar, Iraq. ARCHIVES OF RAZI INSTITUTE 2022; 77:1097-1104. [PMID: 36618280 PMCID: PMC9759240 DOI: 10.22092/ari.2022.357267.2006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Accepted: 01/16/2022] [Indexed: 01/10/2023]
Abstract
It is believed that many biomarkers and factors could be linked to the prognosis of coronavirus disease 2019 (COVID-19). Therefore, this study aimed to evaluate the association of lactate dehydrogenase (LDH), D-Dimer, vitamin D, and ferritin statuses with the prognosis of COVID-19; moreover, it was attempted to investigate its prevalence according to age, employment status, body mass index (BMI), and place of residency in a population sample of hospitalized patients in Thi-Qar, Iraq. This study evaluated 200 COVID-19 patients and 100 controls. The BMI of all individuals was calculated, and such demographic characteristics as age, gender, place of residency, and occupational status were collected from all participants. Blood samples were taken and used to estimate D-Dimer, LDH, vitamin D, ferritin, oxygen, and pulse rate. The mean age of the patients approached the fifth decade, and 72% of the cases were more than 40 years of age. In addition, 60% of the patients were living in the countryside, and 52% of the participants were employed, compared to only 8% of the cases who were students. The BMI of the patients was obtained at 31.44±10.2 kg/m2; accordingly, 47% and 40% of the cases were obese and overweight, respectively, compared to only 12% of the patients who had normal weight (P˂0.05). There were significantly lower vitamin D levels in the patients; however, the concentrations of LDH, serum ferritin, and D-Dimer were significantly higher in the patients, compared to the control group (P˂0.05). Not only age and body weight but also employment status and place of residency maybe also the important risk factors for COVID-19 distribution. LDH, D-dimer, vitamin D, and ferritin statuses could be used as good biomarkers for this disease and its severity.
Collapse
Affiliation(s)
- J Jouda
- Department of Biology, College of Sciences, Mustansiriyah University, Baghdad, Iraq
| | - E Abdul Kareem Jabbar
- Department of Medical Basic Sciences, College of Nursing, University of Thi-Qar, Thi-Qar, Iraq
| | - F Salih Abdulhadi
- Department of Biology, College of Sciences, Mustansiriyah University, Baghdad, Iraq
| | - Y Atiyah Kamil
- Biological Health Department, Infertility Unit, Imam Hussein Teaching Hospital, Thi-Qar, Iraq
| |
Collapse
|
5
|
Kurban LAS, AlDhaheri S, Elkkari A, Khashkhusha R, AlEissaee S, AlZaabi A, Ismail M, Bakoush O. Predicting Severe Disease and Critical Illness on Initial Diagnosis of COVID-19: Simple Triage Tools. Front Med (Lausanne) 2022; 9:817549. [PMID: 35223916 PMCID: PMC8866724 DOI: 10.3389/fmed.2022.817549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Accepted: 01/17/2022] [Indexed: 01/08/2023] Open
Abstract
Rationale This study was conducted to develop, validate, and compare prediction models for severe disease and critical illness among symptomatic patients with confirmed COVID-19. Methods For development cohort, 433 symptomatic patients diagnosed with COVID-19 between April 15th 2020 and June 30th, 2020 presented to Tawam Public Hospital, Abu Dhabi, United Arab Emirates were included in this study. Our cohort included both severe and non-severe patients as all cases were admitted for purpose of isolation as per hospital policy. We examined 19 potential predictors of severe disease and critical illness that were recorded at the time of initial assessment. Univariate and multivariate logistic regression analyses were used to construct predictive models. Discrimination was assessed by the area under the receiver operating characteristic curve (AUC). Calibration and goodness of fit of the models were assessed. A cohort of 213 patients assessed at another public hospital in the country during the same period was used to validate the models. Results One hundred and eighty-six patients were classified as severe while the remaining 247 were categorized as non-severe. For prediction of progression to severe disease, the three independent predictive factors were age, serum lactate dehydrogenase (LDH) and serum albumin (ALA model). For progression to critical illness, the four independent predictive factors were age, serum LDH, kidney function (eGFR), and serum albumin (ALKA model). The AUC for the ALA and ALKA models were 0.88 (95% CI, 0.86–0.89) and 0.85 (95% CI, 0.83–0.86), respectively. Calibration of the two models showed good fit and the validation cohort showed excellent discrimination, with an AUC of 0.91 (95% CI, 0.83–0.99) for the ALA model and 0.89 (95% CI, 0.80–0.99) for the ALKA model. A free web-based risk calculator was developed. Conclusions The ALA and ALKA predictive models were developed and validated based on simple, readily available clinical and laboratory tests assessed at presentation. These models may help frontline clinicians to triage patients for admission or discharge, as well as for early identification of patients at risk of developing critical illness.
Collapse
Affiliation(s)
| | - Sharina AlDhaheri
- Department of Internal Medicine, Tawam Hospital, Al Ain, United Arab Emirates
| | - Abdulbaset Elkkari
- Department of Internal Medicine, Tawam Hospital, Al Ain, United Arab Emirates
| | - Ramzi Khashkhusha
- Department of Internal Medicine, Tawam Hospital, Al Ain, United Arab Emirates
| | - Shaikha AlEissaee
- Department of Internal Medicine, Tawam Hospital, Al Ain, United Arab Emirates
| | - Amna AlZaabi
- Department of Internal Medicine, Tawam Hospital, Al Ain, United Arab Emirates
| | - Mohamed Ismail
- Department of Internal Medicine, Tawam Hospital, Al Ain, United Arab Emirates
| | - Omran Bakoush
- Department of Internal Medicine, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| |
Collapse
|
6
|
Muhammad R, Ogunti R, Ahmad B, Munawar M, Donaldson S, Sumon M, Kibreab A, Thomas AN, Mehari A. Clinical Characteristics and Predictors of Mortality in Minority Patients Hospitalized with COVID-19 Infection. J Racial Ethn Health Disparities 2021; 9:335-345. [PMID: 33538998 PMCID: PMC7861003 DOI: 10.1007/s40615-020-00961-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 12/29/2020] [Accepted: 12/29/2020] [Indexed: 02/07/2023]
Abstract
Objectives To identify the early mortality predictors in minority patients hospitalized with coronavirus disease 2019 (COVID-19). Design Demographics, presenting characteristics, admission laboratory data, ICU admission, and mortality data were collected from 200 consecutively hospitalized patients with COVID-19. Results The mean (SD) age was 58.9 (15.1) years, 121(60.5%) were men, 143 (71.5%) were African Americans, and 33 (16.5%) were Latino. Common presenting symptoms were cough 130 (65.0%), shortness of breath 129 (64.5%), and fever 121 (60.5%). One or more comorbid illness occurred in 171 (85.5%) and common comorbidities were hypertension (130 (65.2%)), diabetes (100 (50.0%)) and chronic kidney disease (60 (30.0%)). Of the 200 patients, 71 (35.5%) were treated in the ICU, 47 (24.2%) received mechanical ventilation, 45 (22.5%) died, and 155(77.5%) patients discharged home alive. The non-survivors were significantly older and had elevated markers of inflammation, coagulation, and acute organ damage on presentation. Age ≥ 65 years (odds ratio (OR), 3.78; 95% CI, 1.74–8.22; P = .001), lactate dehydrogenase level > 400 IU/L (OR, 9.1; 95% CI, 2.97–28.1; p < 0.001), C-reactive protein > 20 mg/dl (OR, 5.56; 95%CI, 1.84–16.8; p < 0.001), ferritin > 2000 ng/ml (OR, 5.42; 95%CI, 1.63–17.9; p = 0.006), creatinine kinase > 1000 iu/l (OR, 3.57; 95% CI, 1.23 10.3; p = 0.019), procalcitonin > 2.5 ng/ml (OR, 4.21; 95% CI, 1.47–12.0; p = 0.007), D-dimer level > 3.0 μg/ml (OR,10.9; 95% CI, 3.33–36.2; p = < 0.001), creatinine > 2 mg/dl (OR, 4.5; 95% CI, 1.29–15.8; P = 0.018) at admission were associated independently with increases risk of in-hospital mortality. Conclusion Patients of advanced age that present with elevated biomarkers of inflammation, coagulation, and end-organ damage were at higher risk of mortality. Supplementary Information The online version contains supplementary material available at 10.1007/s40615-020-00961-x.
Collapse
Affiliation(s)
- Rizwan Muhammad
- Howard University College of Medicine, 2041 Georgia Ave, NW, Washington, DC, 20060, USA
| | - Richard Ogunti
- Howard University College of Medicine, 2041 Georgia Ave, NW, Washington, DC, 20060, USA
| | - Basharat Ahmad
- Howard University College of Medicine, 2041 Georgia Ave, NW, Washington, DC, 20060, USA
| | - Muhammad Munawar
- Howard University College of Medicine, 2041 Georgia Ave, NW, Washington, DC, 20060, USA
| | - Sahai Donaldson
- Howard University College of Medicine, 2041 Georgia Ave, NW, Washington, DC, 20060, USA
- Division of Pulmonary and Critical Care, 2041 Georgia Ave, NW, Washington, DC, 20060, USA
| | - Mahbubur Sumon
- Howard University College of Medicine, 2041 Georgia Ave, NW, Washington, DC, 20060, USA
- Division of Pulmonary and Critical Care, 2041 Georgia Ave, NW, Washington, DC, 20060, USA
| | - Angesom Kibreab
- Howard University College of Medicine, 2041 Georgia Ave, NW, Washington, DC, 20060, USA
- Division of Gastroenterology and Hepatology, Washington, DC, USA
| | - Alicia N Thomas
- Howard University College of Medicine, 2041 Georgia Ave, NW, Washington, DC, 20060, USA
- Division of Pulmonary and Critical Care, 2041 Georgia Ave, NW, Washington, DC, 20060, USA
| | - Alem Mehari
- Howard University College of Medicine, 2041 Georgia Ave, NW, Washington, DC, 20060, USA.
- Division of Pulmonary and Critical Care, 2041 Georgia Ave, NW, Washington, DC, 20060, USA.
| |
Collapse
|
7
|
Henry BM, Aggarwal G, Wong J, Benoit S, Vikse J, Plebani M, Lippi G. Lactate dehydrogenase levels predict coronavirus disease 2019 (COVID-19) severity and mortality: A pooled analysis. Am J Emerg Med 2020; 38:1722-1726. [PMID: 32738466 PMCID: PMC7251362 DOI: 10.1016/j.ajem.2020.05.073] [Citation(s) in RCA: 329] [Impact Index Per Article: 82.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 05/20/2020] [Accepted: 05/20/2020] [Indexed: 02/06/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) infection has now reached a pandemic state, affecting more than a million patients worldwide. Predictors of disease outcomes in these patients need to be urgently assessed to decrease morbidity and societal burden. Lactate dehydrogenase (LDH) has been associated with worse outcomes in patients with viral infections. In this pooled analysis of 9 published studies (n = 1532 COVID-19 patients), we evaluated the association between elevated LDH levels measured at earliest time point in hospitalization and disease outcomes in patients with COVID-19. Elevated LDH levels were associated with a ~6-fold increase in odds of developing severe disease and a ~16-fold increase in odds of mortality in patients with COVID-19. Larger studies are needed to confirm these findings.
Collapse
Affiliation(s)
- Brandon Michael Henry
- Cardiac Intensive Care Unit, The Heart Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
| | - Gaurav Aggarwal
- Department of Medicine, Jersey City Medical Center, Jersey City, NJ, USA
| | - Johnny Wong
- College of Medicine, SUNY Downstate Health Sciences University, New York, USA
| | - Stefanie Benoit
- Division of Nephrology and Hypertension, Cincinnati Children's Hospital Medical Center, OH, USA; Department of Pediatrics, College of Medicine, University of Cincinnati, OH, USA
| | - Jens Vikse
- Department of Clinical immunology, Stavanger University Hospital, Stavanger, Norway
| | - Mario Plebani
- Department of Lab Medicine, University Hospital, Padova, Italy
| | - Giuseppe Lippi
- Section of Clinical Biochemistry, Department of Neuroscience, Biomedicine and Movement, University of Verona, Verona, Italy
| |
Collapse
|
8
|
Sakurai S, Kato H, Yoshida Y, Sugawara Y, Fujisawa M, Yasumoto A, Matsumoto M, Fujimura Y, Yatomi Y, Nangaku M. Profiles of Coagulation and Fibrinolysis Activation-Associated Molecular Markers of Atypical Hemolytic Uremic Syndrome in the Acute Phase. J Atheroscler Thromb 2019; 27:353-362. [PMID: 31484852 PMCID: PMC7192816 DOI: 10.5551/jat.49494] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Aim: Atypical hemolytic uremic syndrome (aHUS), characterized by thrombotic microangiopathy (TMA), is a genetic, life-threatening disease which needs many differential diagnoses. This study aimed to reveal coagulation and fibrinolysis profiles in aHUS and secondary TMA patients. Furthermore, we investigated whether aHUS patients progress to, and meet, disseminated intravascular coagulation (DIC) criteria. Methods: The acute phase samples were available in 15 aHUS and 20 secondary TMA patients. We measured PT-ratio, activated partial thromboplastin time (APTT), fibrinogen, fibrin degradation product (FDP), fibrin monomer complex (FMC), antithrombin (AT), plasmin-α2 plasmin inhibitor complex (PIC), and von Willebrand factor antigen (VWF:Ag). We examined and compared these tests among aHUS, secondary TMA patients, and healthy volunteer (HV), and evaluated whether patients with aHUS and secondary TMA met DIC criteria. Results: PT-ratio, APTT, FDP, FMC and PIC in patients with aHUS and secondary TMA were higher than those in HV. Fibrinogen and AT showed no significant difference among three groups. VWF:Ag was higher in only aHUS patients. No tests showed significant difference between aHUS and secondary TMA patients. Three aHUS patients out of 15 met DIC criteria. Conclusion: We revealed the profiles and distributions of coagulation and fibrinolysis tests of aHUS and secondary TMA patients. All tests were enhanced compared to HV; however, our results showed the no specificities in distinguishing aHUS from secondary TMA patients. We also clarified that some aHUS patients fulfilled DIC diagnostic criteria, indicating that DIC itself cannot be an exclusion criterion of aHUS.
Collapse
Affiliation(s)
- Satoko Sakurai
- Division of Nephrology and Endocrinology, the University of Tokyo Graduate School of Medicine
| | - Hideki Kato
- Division of Nephrology and Endocrinology, the University of Tokyo Graduate School of Medicine
| | - Yoko Yoshida
- Division of Nephrology and Endocrinology, the University of Tokyo Graduate School of Medicine
| | - Yuka Sugawara
- Division of Nephrology and Endocrinology, the University of Tokyo Graduate School of Medicine
| | - Madoka Fujisawa
- Division of Nephrology and Endocrinology, the University of Tokyo Graduate School of Medicine
| | - Atsushi Yasumoto
- Department of Clinical Laboratory Medicine, the University of Tokyo Graduate School of Medicine
| | | | | | - Yutaka Yatomi
- Department of Clinical Laboratory Medicine, the University of Tokyo Graduate School of Medicine
| | - Masaomi Nangaku
- Division of Nephrology and Endocrinology, the University of Tokyo Graduate School of Medicine
| |
Collapse
|
9
|
Ye Y, Zheng W, Wang J, Hu Y, Luo Y, Tan Y, Shi J, Zhang M, Huang H. Risk and prognostic factors of transplantation-associated thrombotic microangiopathy in allogeneic haematopoietic stem cell transplantation: a nested case control study. Hematol Oncol 2016; 35:821-827. [PMID: 27245857 DOI: 10.1002/hon.2310] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2016] [Accepted: 04/29/2016] [Indexed: 12/21/2022]
Affiliation(s)
- Yishan Ye
- Bone Marrow Transplantation Center; The First Affiliated Hospital, School of Medicine, Zhejiang University; Hangzhou China
| | - Weiyan Zheng
- Bone Marrow Transplantation Center; The First Affiliated Hospital, School of Medicine, Zhejiang University; Hangzhou China
| | - Jiasheng Wang
- Bone Marrow Transplantation Center; The First Affiliated Hospital, School of Medicine, Zhejiang University; Hangzhou China
| | - Yongxian Hu
- Bone Marrow Transplantation Center; The First Affiliated Hospital, School of Medicine, Zhejiang University; Hangzhou China
| | - Yi Luo
- Bone Marrow Transplantation Center; The First Affiliated Hospital, School of Medicine, Zhejiang University; Hangzhou China
| | - Yamin Tan
- Bone Marrow Transplantation Center; The First Affiliated Hospital, School of Medicine, Zhejiang University; Hangzhou China
| | - Jimin Shi
- Bone Marrow Transplantation Center; The First Affiliated Hospital, School of Medicine, Zhejiang University; Hangzhou China
| | - Mingming Zhang
- Bone Marrow Transplantation Center; The First Affiliated Hospital, School of Medicine, Zhejiang University; Hangzhou China
| | - He Huang
- Bone Marrow Transplantation Center; The First Affiliated Hospital, School of Medicine, Zhejiang University; Hangzhou China
| |
Collapse
|