BACKGROUND AND OBJECTIVES: Thrombotic microangiopathy (TMA) is a known complication of hematopoietic cell transplantation (HCT). The etiology and diagnosis of TMA in this patient population is often difficult because thrombocytopenia, microangiopathic hemolytic anemia, and kidney injury occur frequently in HCT recipients, and are the result of a variety of insults. DESIGN, SETTING, PARTICIPANTS & MEASUREMENTS: The authors reviewed renal pathology and clinical data from HCT patients to determine the prevalence of TMA and to identify correlative factors for developing TMA in the kidney. Kidney tissue was evaluated from 314 consecutive autopsies on patients who died after their first HCT (received between 1992 and 1999). Renal pathology was classified into three groups: (1) no renal thrombus (65%), (2) TMA (20%), and (3) isolated thrombosis (15%). Logistic regression models estimated the associations between each histologic category and clinical parameters: donor and recipient gender, patient age, human leukocyte antigen (HLA) matching of the donor and recipient, total body irradiation (TBI), acute graft versus host disease (GVHD), acute kidney injury, medications, and viral infections. RESULTS: In a multivariate analysis, TMA correlated with acute GVHD grades II to IV, followed by female recipient/male donor, TBI > 1200 cGy, and adenovirus infection. Grades II to IV acute GVHD and female gender were associated with isolated renal thrombus. CONCLUSIONS: TMA in HCT recipients is associated with acute GVHD grades II to IV, recipient/donor mismatch, TBI > 1200 cGy, and adenovirus infection.
BACKGROUND AND OBJECTIVES:Thrombotic microangiopathy (TMA) is a known complication of hematopoietic cell transplantation (HCT). The etiology and diagnosis of TMA in this patient population is often difficult because thrombocytopenia, microangiopathic hemolytic anemia, and kidney injury occur frequently in HCT recipients, and are the result of a variety of insults. DESIGN, SETTING, PARTICIPANTS & MEASUREMENTS: The authors reviewed renal pathology and clinical data from HCT patients to determine the prevalence of TMA and to identify correlative factors for developing TMA in the kidney. Kidney tissue was evaluated from 314 consecutive autopsies on patients who died after their first HCT (received between 1992 and 1999). Renal pathology was classified into three groups: (1) no renal thrombus (65%), (2) TMA (20%), and (3) isolated thrombosis (15%). Logistic regression models estimated the associations between each histologic category and clinical parameters: donor and recipient gender, patient age, human leukocyte antigen (HLA) matching of the donor and recipient, total body irradiation (TBI), acute graft versus host disease (GVHD), acute kidney injury, medications, and viral infections. RESULTS: In a multivariate analysis, TMA correlated with acute GVHD grades II to IV, followed by female recipient/male donor, TBI > 1200 cGy, and adenovirus infection. Grades II to IV acute GVHD and female gender were associated with isolated renal thrombus. CONCLUSIONS:TMA in HCT recipients is associated with acute GVHD grades II to IV, recipient/donor mismatch, TBI > 1200 cGy, and adenovirus infection.
Authors: C-K Min; S Y Kim; M J Lee; K S Eom; Y J Kim; H J Kim; S Lee; S G Cho; D W Kim; J W Lee; W S Min; C C Kim; C S Cho Journal: Bone Marrow Transplant Date: 2006-06-05 Impact factor: 5.483
Authors: E D Thomas; R Storb; R A Clift; A Fefer; L Johnson; P E Neiman; K G Lerner; H Glucksberg; C D Buckner Journal: N Engl J Med Date: 1975-04-24 Impact factor: 91.245
Authors: M T Martinez; Ch Bucher; G Stussi; D Heim; A Buser; D A Tsakiris; A Tichelli; A Gratwohl; J R Passweg Journal: Bone Marrow Transplant Date: 2005-12 Impact factor: 5.483
Authors: R M van der Plas; M E Schiphorst; E G Huizinga; R J Hené; L F Verdonck; J J Sixma; R Fijnheer Journal: Blood Date: 1999-06-01 Impact factor: 22.113
Authors: Benedetto Bruno; Richard A Zager; Michael J Boeckh; Theodore A Gooley; David H Myerson; Meei-Li Huang; Robert C Hackman Journal: Transplantation Date: 2004-04-15 Impact factor: 4.939
Authors: Vera Eremina; J Ashley Jefferson; Jolanta Kowalewska; Howard Hochster; Mark Haas; Joseph Weisstuch; Catherine Richardson; Jeffrey B Kopp; M Golam Kabir; Peter H Backx; Hans-Peter Gerber; Napoleone Ferrara; Laura Barisoni; Charles E Alpers; Susan E Quaggin Journal: N Engl J Med Date: 2008-03-13 Impact factor: 91.245
Authors: James N George; Xiaoning Li; Jay R McMinn; Deirdra R Terrell; Sara K Vesely; George B Selby Journal: Transfusion Date: 2004-02 Impact factor: 3.157
Authors: J Labrador; L López-Corral; O López-Godino; L Vázquez; M Cabrero-Calvo; R Pérez-López; M Díez-Campelo; F Sánchez-Guijo; E Pérez-López; C Guerrero; I Alberca; M C Del Cañizo; J A Pérez-Simón; J R González-Porras; D Caballero Journal: Bone Marrow Transplant Date: 2014-02-24 Impact factor: 5.483
Authors: Sonata Jodele; Benjamin L Laskin; Jens Goebel; Jane C Khoury; Susan L Pinkard; Patricia M Carey; Stella M Davies Journal: Transfusion Date: 2012-07-15 Impact factor: 3.157
Authors: Merve Postalcioglu; Haesook T Kim; Faruk Obut; Osman Arif Yilmam; Jiqiao Yang; Benjamin C Byun; Sophie Kupiec-Weglinski; Robert Soiffer; Jerome Ritz; Joseph H Antin; Edwin Alyea; John Koreth; Corey Cutler; Philippe Armand; Julie M Paik; David E Leaf; Vincent T Ho; Reza Abdi Journal: Biol Blood Marrow Transplant Date: 2018-05-11 Impact factor: 5.742
Authors: Sonata Jodele; Benjamin L Laskin; Christopher E Dandoy; Kasiani C Myers; Javier El-Bietar; Stella M Davies; Jens Goebel; Bradley P Dixon Journal: Blood Rev Date: 2014-11-28 Impact factor: 8.250