Infection is an Independent Predictor of Death in Diffuse Large B Cell Lymphoma
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作者:
Claire Dendle
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机构:Monash University,School of Clinical Sciences
Claire Dendle
Michael Gilbertson
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机构:Monash University,School of Clinical Sciences
Michael Gilbertson
Tim Spelman
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机构:Monash University,School of Clinical Sciences
Tim Spelman
Rhonda L. Stuart
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机构:Monash University,School of Clinical Sciences
Rhonda L. Stuart
Tony M. Korman
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机构:Monash University,School of Clinical Sciences
Tony M. Korman
Karin Thursky
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机构:Monash University,School of Clinical Sciences
Karin Thursky
Stephen Opat
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机构:Monash University,School of Clinical Sciences
Stephen Opat
Zoe McQuilten
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机构:Monash University,School of Clinical Sciences
Zoe McQuilten
机构:
[1] Monash University,School of Clinical Sciences
[2] Monash Medical Centre,Monash Infectious Diseases, Level 3
[3] Monash Medical Centre,Monash Haematology, Monash Health, Level 4
[4] Centre for Population Health,Department of Infectious Diseases
[5] Burnet Institute,Department of Medicine
[6] Peter MacCallum Cancer Centre,Department of Epidemiology and Preventive Medicine
[7] University of Melbourne,undefined
[8] Monash University,undefined
来源:
Scientific Reports
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摘要:
To identify risk factors for infection in patients with diffuse large B cell lymphoma (DLBCL) undergoing rituximab, cyclophosphamide, vincristine, adriamycin and prednisolone (R-CHOP) treatment. All patients with DLBCL who received R-CHOP from 2004–2014 in a tertiary Australian hospital were identified and information collected from hospital admission data, laboratory results and medical record review. Infection was defined as hospitalisation with an ICD-10-AM diagnostic code for infection. Risk factors for infection and association between infection and survival were modelled using Cox proportional hazards regression. Over the 10-year period there were 325 patients; 191 (58.8%) males, median age 66 years. 206 (63.4%) patients experienced ≥1 infection. Independent predictors of infection were Charlson comorbidity index score (hazard ratio [HR] 3.60, p = 0.002), Eastern Cooperative Oncology Group (ECOG) performance status (HR 2.09 p = <0.001) and neutropenia (HR 2.46, p = <0.001). 99 (31%) patients died. Infection was an independent predictor of survival (HR 3.27, p = <0.001, as were age (HR 2.49, p = 0.001), Charlson comorbidity index (HR 4.34, p = <0.001), ECOG performance status (HR 4.33, p = 0.045) and neutropenia (HR 1.95, p = 0.047). Infections are common and infection itself is an independent predictor of survival. Patients at highest risk of infection and death are those with multiple comorbidities, poor performance status and neutropenia.