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Eur J Oncol Nurs ; 18(5): 540-4, 2014 Oct.
Article in English | MEDLINE | ID: mdl-24954769

ABSTRACT

PURPOSE: To explore the risk factors for falls in lymphoma patients receiving chemotherapy. METHODS: Lymphoma patients (203) who received chemotherapy were prospectively recruited and analyzed. Eligible participants were followed up by weekly telephone contact for 6 months or until the time of a fall or death. Risk factors for falling in lymphoma patients were identified using univariate regression analysis and multivariate binary logistic regression analysis. RESULTS: Of the 203 cases, 13.3% (27 cases) had a fall during follow-up. Univariate regression analysis showed the following risk factors for falls in lymphoma patients: gender (P = 0.023), Eastern Cooperative Oncology Group (ECOG) performance status score (P < 0.0001), cancer stage (P < 0.0001), extranodal involvement (P = 0.041), serum lactate dehydrogenase (LDH) level (P < 0.0001), revised International Prognostic Index (R-IPI) (P < 0.0001), history of falls (P < 0.0001), gait (P < 0.0001), cognitive condition (P = 0.029) and intravenous catheter placement (P < 0.0001). Multivariate binary logistic regression analysis found four independent factors significantly associated with the risk of falling in lymphoma patients: female gender (P = 0.042), later stage (P = 0.021), R-IPI (P = 0.030), and intravenous catheter placement (P = 0.001). CONCLUSIONS: Gender, stage, R-IPI, and intravenous catheter placement were independent risk factors for falls in patients with lymphoma. Lymphoma patients with these four risk factors should receive particular attention and fall prevention education to reduce the incidence of falls. The R-IPI may be a new predictor of falling in lymphoma patients and may aid in the management of falls.


Subject(s)
Accidental Falls/statistics & numerical data , Drug-Related Side Effects and Adverse Reactions/epidemiology , Lymphoma/drug therapy , Lymphoma/epidemiology , Adolescent , Adult , Age Factors , Aged , Catheterization, Peripheral/statistics & numerical data , Causality , Cohort Studies , Comorbidity , Drug Therapy , Female , Humans , Logistic Models , Male , Middle Aged , Multivariate Analysis , Prognosis , Prospective Studies , Retrospective Studies , Risk Factors , Sex Factors , Young Adult
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