儿童急性淋巴细胞白血病生存率、缓解率、复发率和死亡率的多因素分析
[Abstract]:Objective: to collect and collate the clinical symptoms, signs, laboratory results and survival conditions of children with acute lymphoblastic leukemia (ALL) by retrospective cohort study. By statistical analysis of the 22 research indicators selected, the non event survival rate of children with ALL was calculated, and the time of life free survival and mitigation were discussed. The effect of rate, recurrence rate and death rate. To judge the prognosis of ALL in children more scientifically, to evaluate the risk of ALL in children correctly, and to provide the theoretical basis for selecting reasonable individualized chemotherapy scheme.
Methods: a retrospective analysis of 132 ALL children hospitalized in the pediatric department of pediatric department of Hebei Medical University, second hospital from 01 from 01 months to 2012, 2012, 2006.
1, the criteria were included: (1) age less than 14 years of age. (2) compliance with children's ALL diagnostic criteria. Diagnostic criteria were based on the recommendations of children's acute lymphoblastic leukemia (Third Revised Draft) ---2006 > or in 2010 < the clinical pathway of childhood acute lymphoblastic leukemia (2010 Edition) >. ALL children of the course.
2, an excerpt of medical history was designed to systematically extract the sex of ALL children, the age of onset, the number of white blood cells in peripheral blood (WBC), the content of hemoglobin (HGB), the number of platelets (PLT), whether there were naive cells, whether there were central nervous system leukemia (CNSL) or testicular leukemia, immunological typing, fusion gene (BCR/ABL), hepatomegaly, and splenomegaly Large, lymph node swelling, prednisone induction test, nineteenth days (D19) bone marrow morphological examination, thirty-third days (D33) bone marrow morphology examination, liver injury, lung injury, treatment process infection, transfusion of blood products, treatment compliance, lactate dehydrogenase (LDH) and treatment regimen were 22 research indicators.
3, design follow-up table, collect statistics of ALL children's survival and calculate the survival time.
4, group sorting data: sex (male; female), age (1 years or 10 years old; 1 year old -10), WBC (< 50 x 10~9/L; (50-100) * * 10~9/L; > 100 * 10~9/L) at first visit, HGB (< 60g/L; > 60g/L), PLT (< 20 x 10~9/L; > 20 x 10~9/L), infant fine cell (B; Immune), fusion gene (negative; positive) CNSL or testicular leukemia (no; yes), hepatomegaly (distance from the ribbed margin) (< 5cm; > 5cm), splenomegaly (distance from the ribbed margin) (< 5cm; > 5cm), lymph node enlargement (unpalpable; neck, axillary, inguinal lymph node palpable), prednisone induction test (good; bad), D19 bone marrow morphology examination (primitive lymph fines) Cell + infantile lymphocyte) (< 5%; > 5%), D33 bone marrow morphological examination (primary lymphocyte + naive lymphocyte) (< 5%; > 5%), infection (no; yes), liver injury (no; yes), lung injury (no; yes), transfusion of blood products (no; yes), compliance in the course of treatment (whether the treatment was interrupted by March) (no; yes), LDH (no), 240u/L; > 240u/L) and treatment plan (2006 scheme; clinical pathway; special scheme).
5, statistical analysis: all data were statistically analyzed using SPSS17.0 statistics software. Among them, Kaplan-Meier method was used to calculate three years and five years of no event survival rate; Log-Rank test was used to compare the survival curve; COX risk ratio regression model was used for single factor analysis to screen the influence factors of the event free survival time. The COX risk proportional regression model was further established for multi factor analysis, and the influence factors of the event free survival time were further screened. Logistic regression analysis was used to analyze the effect of each research index on the rate of remission, the recurrence rate or the mortality, and the average number of measurement data was calculated by t test, and P0.05 indicated that the difference was statistically significant.
Results: a total of 132 cases were collected, including 105 cases of non event survival (2 cases without remission, 2 remission), 19 cases of recurrence, 8 cases of death. The remission rate was 98.48%, the recurrence rate was 14.39%, the mortality rate was (74.9 + 0.05)% (74.9 + 0.05)%, and the mortality rate of five years was (63.3 + 0.07)%. According to the risk degree. 132 children with ALL were divided into low risk group, middle risk group and high risk group, including 52 cases in low risk group, 42 cases in middle risk group and 38 cases in high risk group. The three year survival rate of low risk group was (87.2 + 0.06)%, and the survival rate of five years was (71.5 + 0.10)%. The non event survival rate in the middle risk group three years was (67.6 + 0.10)%, and the non event survival rate was (87.2)%. The three year non event survival rate of the high-risk group was (63.1 + 0.10)%, and the five year event free survival rate was (50.5 + 0.14)%. The survival curve of ALL children with different risk groups was compared, the difference (P=0.023) was statistically significant. And with the increase of risk, the survival rate of ALL children decreased by the.COX risk proportion regression model single factor screening knot. The results showed that immunological typing (P=0.005) and compliance (P=0.046) had influence on the event free survival time of children with ALL. The multifactor analysis of the.COX risk proportional regression model showed that immunological typing (P=0.005) and compliance (P=0.045) were independent prognostic factors. The results of Logistic regression analysis showed that the input of blood in the treatment process was in the course of treatment. P=0.040 could increase the remission rate, and the fusion gene (BCR/ABL) positive (P=0.004) increased the recurrence rate; the 22 study indexes had no effect on the mortality of.132 cases in children with ALL in the chemotherapy process, the infection rate was 34.09%. in the infected ALL children, and the respiratory tract was the main (36 cases), and all of the children with severe infection of ALL in 80.43%.4 cases were all dead. 50%. in children with ALL death
Conclusion:
1, the higher the risk level of children's ALL, the lower the event free survival rate.
2, immunological classification and compliance are independent prognostic factors of.B-ALL children's non event survival rate is significantly higher than that of children with T-ALL, and adherence to standardized treatment is an important guarantee for good prognosis.
3, the fusion gene (BCR/ABL) positive increased the recurrence rate.
4, blood products can increase the remission rate during treatment.
5, the infection of children with acute lymphoblastic leukemia during chemotherapy is mainly respiratory tract, and severe infection can easily lead to death.
【学位授予单位】:河北医科大学
【学位级别】:硕士
【学位授予年份】:2012
【分类号】:R733.7
【参考文献】
相关期刊论文 前10条
1 沈月平,王淅东,李勤学,何海龙,芮秀文,张明芝,汤忠鎏;164例儿童急性淋巴细胞白血病预后因素的生存分析[J];白血病.淋巴瘤;2002年05期
2 帖利军,顾龙君,宋得莲,薛惠良,汤静燕,邹佳音,陈静,董璐,潘慈,叶辉,王耀平,陈静;泼尼松诱导试验评估儿童急性淋巴细胞白血病预后[J];中国当代儿科杂志;2005年03期
3 王宁玲;刘芝璋;刘红军;张爱梅;李春;;儿童急性淋巴细胞白血病52例临床和预后因素分析[J];儿科药学杂志;2008年01期
4 文细毛;任南;吴安华;徐秀华;;全国医院感染监控网白血病患者医院感染资料分析[J];中国感染控制杂志;2006年01期
5 杨润祥;赵金奇;;非霍奇金恶性淋巴瘤患者血清β_2-微球蛋白、乳酸脱氢酶测定的临床价值[J];肿瘤基础与临床;2006年03期
6 岳军峰;杨桂玲;;急性淋巴细胞白血病无病生存因素分析[J];实用临床医学;2008年02期
7 蒋俊煌;林素霞;严俊;;应用Logistic回归模型分析急性白血病医院感染的危险因素[J];齐齐哈尔医学院学报;2010年10期
8 李岭;;急性白血病患者乳酸脱氢酶水平变化及临床价值[J];社区医学杂志;2008年13期
9 张薇;付蓉;刘文会;程毓倩;宋文秀;杜丽娟;阮二宝;张丽彤;王晓明;梁勇;王国锦;瞿文;宋嘉;张荣莉;关晶;李丽娟;邹鹏;邵宗鸿;;急性淋巴细胞白血病预后及其相关因素分析[J];中国实验血液学杂志;2007年05期
10 帖利军,顾龙君,宋得莲,蒋黎敏,薛惠良,汤静燕,董璐,潘慈,陈静,叶辉,王耀平,陈静;儿童急性淋巴细胞白血病治疗早期白血病细胞及微量残留病监测的预后价值[J];中华血液学杂志;2005年01期
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