Huang Jun-wei, Yan Xiong, Zheng Jun, Kong Xian-bing, Luo Shi-qiao, Zhang Hong-bin, Tang Xiao-qiong, Wang Li
Department of Hepatobiliary Surgery, the First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
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Zhonghua Wai Ke Za Zhi. 2013 Oct;51(10):879-81.
To identify factors that can effectively predict the efficacy of laparoscopic splenectomy (LS) in the treatment of immune thrombocytopenic purpura (ITP).
From January 2007 to September 2012, 78 patients with ITP underwent laparoscopic splenectomy were retrospectively analyzed. According to the postoperative platelet (PLT) count and haemorrhagic manifestations, they were divided into effective group and ineffective group. Nine influencing factors were univariate analyzed and multivariate analyzed.
In effective group (65 cases) and ineffective group (13 cases), average PLT count of 1 day before surgery was 47×10(9)/L vs. 21×10(9)/L, average operative time was (166 ± 46) minutes vs. (139 ± 29) minutes. Univariate analysis result: PLT count of 1 day before surgery (Z = -2.776, P = 0.005) and operative time (t = 2.723, P = 0.011) was statistically significant in 2 groups, the rest factors did not significantly influence the result. Multivariate analysis revealed that only PLT count of 1 day before surgery was statistically significant (OR = 0.964, 95%CI: 0.932-0.997, P = 0.031) in 2 groups, but operative time (P = 0.051) was not statistically significant.
PLT count of 1 day before surgery is a predict factor in LS for ITP. Because of the limited sample number, further multi-center prospective study with large sample is warrant.
确定能有效预测腹腔镜脾切除术(LS)治疗免疫性血小板减少性紫癜(ITP)疗效的因素。
回顾性分析2007年1月至2012年9月期间接受腹腔镜脾切除术的78例ITP患者。根据术后血小板(PLT)计数和出血表现,将他们分为有效组和无效组。对9个影响因素进行单因素分析和多因素分析。
有效组(65例)和无效组(13例)术前1天的平均PLT计数分别为47×10⁹/L和21×10⁹/L,平均手术时间分别为(166±46)分钟和(139±29)分钟。单因素分析结果:术前1天的PLT计数(Z=-2.776,P=0.005)和手术时间(t=2.723,P=0.011)在两组中有统计学意义,其余因素对结果无显著影响。多因素分析显示,两组中仅术前1天的PLT计数有统计学意义(OR=(此处原文有误,应为0.964),95%CI:0.932-0.997,P=0.031),但手术时间(P=0.051)无统计学意义。
术前1天的PLT计数是ITP患者行LS的一个预测因素。由于样本数量有限,有必要进行进一步的大样本多中心前瞻性研究。