PROCEDURE: Survivors of childhood ALL aged 4-18 years who had completed chemotherapy for 2 years or more were evaluated for VIPN using both the clinical Total Neuropathy Score (cTNS) and nerve conduction studies. Motor function and quality of life of the survivors were assessed via the Bruininks-Oseretsky Test of Motor Proficiency Brief Form, Second Edition (BOT-2 Brief Form) and the Paediatric Quality of Life version 4.0 Generic Core Scales (PedsQL4.0) questionnaire, respectively.
RESULTS: One hundred and one survivors with a duration of follow-up ranging from 2.0 to 10.3 years were recruited. Twenty-seven (26.7%) had abnormal cTNS scores and 69 (68.3%) had electrophysiological evidence of neuropathy. Of these, 16 (15.8%) had combined clinical and electrophysiological neuropathy (VIPN). Those previously treated on the intermediate- or high-risk treatment stratification arms had a higher risk of developing VIPN (67.3 vs. 32.7%; odds ratio [OR]: 9.06, 95% confidence interval [CI]: 1.14-71.86; P = 0.014). Survivors with VIPN had significantly lower quality of life scores in the physical (P = 0.024) and social domains (P = 0.039) compared with peers without VIPN, but no association with poorer motor function was observed.
CONCLUSIONS: Sixteen percent of ALL survivors had VIPN. VIPN should be increasingly recognised as a late effect of chemotherapy, as it significantly affects physical and social function quality of life.
MATERIALS AND METHODS: A data set of 91 patients with high-risk acute lymphoblastic leukemia (ALL) followed for five years from 1982 to 1987 was chosen for fitting the mixture cure model. We used the maximum likelihood estimation technique via R software 3.6.2 to obtain the estimates for parameters of the proposed model in the existence of cure rate, censored data, and covariates. For the best model choice, the Akaike information criterion (AIC) was implemented.
RESULTS: After comparing different parametric models fitted to the data, including or excluding cure fraction, without covariates, the smallest AIC values were obtained by the EW and the GMW distributions, (953.31/969.35) and (955.84/975.99), respectively. Besides, assuming a mixture cure model based on GMW with covariates, an estimated ratio between cure fractions for allogeneic and autologous bone marrow transplant groups (and its 95% confidence intervals) were 1.42972 (95% CI: 1.18614 - 1.72955).
CONCLUSION: The results of this study reveal that the EW and the GMW distributions are the best choices for the survival times of Leukemia patients.
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