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非造血性退行性疾病患者自体单核干细胞治疗中单核细胞产量的预测因素

Predictors of Mononuclear Cell Yield in Patients Undergoing Autologous Mononuclear Stem Cell Therapy in Non-haemopoietic Degenerative Disorders.

作者信息

Pahwa Deepak, Sharma Ratti Ram, Marwaha Neelam

机构信息

Department of Transfusion Medicine, Post Graduate Institute of Medical Education and Research, Chandigarh, 160012 India.

出版信息

Indian J Hematol Blood Transfus. 2018 Apr;34(2):282-293. doi: 10.1007/s12288-017-0853-5. Epub 2017 Jul 26.

Abstract

Cellular therapy outcomes are influenced by cellular composition of the product. We analyzed the cellular profiles (TNC, MNC and CD34+ cells) of patients receiving mononuclear cell therapy in terms of age, gender, BMI, pre-harvest haematological counts and clinical conditions. Cellular profiles of 262 patients were analyzed in terms of age (age < 40 year, age 41-60 year and age > 60 year), gender, BMI (BMI < 22 kg/m, BMI 22-25 kg/m and BMI > 25 kg/m), pre-harvest haematological profile and clinical conditions (chronic disorders, group A, acute vascular group B and traumatic events, group C). A steady decline was observed in TNC and MNC counts with increasing age and BMI. In clinical conditions, group C showed a highest cellular yield followed by group A and group B respectively. Amongst the three age groups, group I (age < 40 year) showed a better cellular profiles than group II (age 41-60 year) and group III (age > 60 year). Patients with Higher TLC (>7000/μl) and platelet count (>200 × 10/μl) yielded better cellular profile in the harvest. Patient age, BMI, haematological counts and clinical condition significantly affect the bone marrow cellular profile.

摘要

细胞治疗的结果受产品细胞组成的影响。我们根据年龄、性别、体重指数、采集前血液学计数和临床状况,分析了接受单核细胞治疗患者的细胞特征(总核细胞、单核细胞和CD34+细胞)。根据年龄(年龄<40岁、年龄41 - 60岁和年龄>60岁)、性别、体重指数(体重指数<22kg/m²、体重指数22 - 25kg/m²和体重指数>25kg/m²)、采集前血液学特征和临床状况(慢性疾病,A组;急性血管疾病,B组;创伤事件,C组),对262例患者的细胞特征进行了分析。随着年龄和体重指数的增加,观察到总核细胞和单核细胞计数稳步下降。在临床状况方面,C组的细胞产量最高,其次分别是A组和B组。在三个年龄组中,I组(年龄<40岁)的细胞特征优于II组(年龄41 - 60岁)和III组(年龄>60岁)。较高的白细胞计数(>7000/μl)和血小板计数(>200×10⁹/μl)的患者在采集时产生的细胞特征更好。患者年龄、体重指数、血液学计数和临床状况显著影响骨髓细胞特征。

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