首页> 外文期刊>Pediatric blood & cancer >Pilot Trial of Risk-Adapted Cyclophosphamide Intensity Based Conditioning and HLA Matched Sibling and Unrelated Cord Blood Stem Cell Transplantation in Newly Diagnosed Pediatric and Adolescent Recipients with Acquired Severe Aplastic Anemia
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Pilot Trial of Risk-Adapted Cyclophosphamide Intensity Based Conditioning and HLA Matched Sibling and Unrelated Cord Blood Stem Cell Transplantation in Newly Diagnosed Pediatric and Adolescent Recipients with Acquired Severe Aplastic Anemia

机译:在新诊断为重度再生障碍性贫血的小儿和青少年接受风险适应性环磷酰胺强度调节和HLA匹配兄弟姐妹及无关脐血干细胞移植的试验性试验

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Background Children with cancer experience multiple symptoms due to their disease and as a result of treatment. The purpose of this study was to demonstrate the feasibility and potential utility of using latent profile analysis (LPA), a type of cluster analysis, in children with cancer to identify groups of patients who experience similar levels of symptom severity and impairment of physical function. Procedure We analyzed patient-reported symptom and functional data previously collected using the Pediatric Patient Reported Outcomes Measurement Information System (PROMIS). LPA was used to identify and characterize groups of patients who reported similar levels of symptom severity and functional impairment. We then used the multinomial logit model to examine demographic and disease characteristics associated with symptom/function profile membership. Results The analysis included 200 patients in treatment or in survivorship. We identified four symptom/function profiles; children currently receiving cancer treatment and those with at least one other medical problem were more likely to be members of the profile with the highest levels of symptom severity and functional impairment. Gender, age, race/ethnicity, and tumor type were not associated with profile membership. Conclusions LPA is a cluster research methodology that provides clinically useful results in pediatric oncology patients. Future studies of children with cancer using LPA could potentially lead to development of clinical scoring systems that predict patients' risk of developing more severe symptoms and functional impairments, allowing clinicians, patients, and parents to better anticipate and prevent the multiple symptoms that occur during and after treatment for childhood cancer. Pediatr Blood Cancer 2014;61:1282-1288. (c) 2014 Wiley Periodicals, Inc.
机译:背景技术患有癌症的儿童由于其疾病和治疗而经历多种症状。这项研究的目的是证明在癌症患儿中使用潜在特征分析(LPA)(一种聚类分析)来识别症状严重程度和身体功能受损水平相似的患者群体的可行性和潜在实用性。程序我们分析了以前使用儿科患者报告结果测量信息系统(PROMIS)收集的患者报告的症状和功能数据。 LPA用于鉴定和表征报告症状严重程度和功能受损水平相似的患者群体。然后,我们使用多项式logit模型来检查与症状/功能档案成员相关的人口统计学和疾病特征。结果分析包括200名正在治疗或存活的患者。我们确定了四个症状/功能特征。当前正在接受癌症治疗的儿童以及至少有其他医疗问题的儿童更有可能是症状严重程度和功能障碍水平最高的成员。性别,年龄,种族/民族和肿瘤类型与档案成员无关。结论LPA是一项集群研究方法,可为儿科肿瘤患者提供临床有用的结果。未来使用LPA对癌症儿童的研究可能会导致开发临床评分系统,该系统可以预测患者出现更严重的症状和功能障碍的风险,使临床医生,患者和父母可以更好地预测和预防在治疗期间和期间发生的多种症状。儿童癌症治疗后。小儿血液癌2014; 61:1282-1288。 (c)2014年威利期刊有限公司

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