首都医科大学学报 ›› 2022, Vol. 43 ›› Issue (5): 694-699.doi: 10.3969/j.issn.1006-7795.2022.05.005

• 肾脏病基础与临床研究 • 上一篇    下一篇

超声引导下经皮肾穿刺活检后出血的危险因素

赵纬昊1, 张亚妮1, 李柯1, 姚恬1, 景兰梅1, 霍雨佳2, 马小琴1, 王欣1, 刘静1, 马晓桃1, 付荣国1, 田李芳1*   

  1. 1.西安交通大学第二附属医院肾病内科,西安 710004;
    2.西安交通大学医学部,西安 710061
  • 收稿日期:2022-05-09 出版日期:2022-10-21 发布日期:2022-10-25
  • 基金资助:
    国家自然科学基金面上项目(82170697),西安交通大学第二附属医院科研骨干项目[RC(GG)201906]。

Analysis of risk factors associated with bleeding events after ultrasound-guided percutaneous native renal biopsies

Zhao Weihao1, Zhang Yani1, Li Ke1, Yao Tian1, Jing Lanmei1, Huo Yujia2, Ma Xiaoqin1, Wang Xin1, Liu Jing1, Ma Xiaotao1, Fu Rongguo1, Tian Lifang1*   

  1. 1. Department of Neprology, the Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China;
    2. Health Science Center, Xi'an Jiaotong University, Xi'an 710061, China
  • Received:2022-05-09 Online:2022-10-21 Published:2022-10-25
  • Contact: * E-mail: tianlifang0316@sina.com
  • Supported by:
    General Program of National Natural Science Foundation of China (82170697), Backbone of Scientific Research Program of the Second Affiliated Hospital of Xi'an Jiaotong University [RC(GG)201906].

摘要: 目的 探究超声引导下经皮肾穿刺活检后出血的高危因素。方法 以西安交通大学第二附属医院肾病内科2019年1月至2021年12月接受肾活检的1 026例患者为研究对象,根据肾活检病例是否发生术后出血分为无出血组(对照组,683例)和出血组(病例组,343例)。采用单因素分析筛选影响因素,采用多因素Logistic回归模型分析肾活检后出血的危险因素。结果 超声下可探及出血的343例(33.4%)患者中,需治疗的大出血5例(0.49%)。单因素分析显示,出血组病例女性比例及平均体质量指数、血红蛋白浓度、红细胞数量、血小板数量、尿相对密度、尿蛋白定量、三酰甘油及总胆固醇浓度、凝血酶原活动度及凝血酶时间低于无出血组(P<0.05);而出血组病例的凝血酶原时间、国际标准化比值高于无出血组(P<0.05)。出血组中血肿面积与空腹血糖、活化部分凝血活酶时间呈显著正相关。多因素Logistic回归分析显示,血小板计数与肾穿刺后出血有关(OR=0.996,P<0.05)。结论 血小板计数降低是超声引导下经皮肾穿刺活检后出血的高危因素。

关键词: 肾活检, 肾出血, 高危因素

Abstract: Objective To identify the risk factors associated with bleeding events after ultrasound-guided percutaneous native renal biopsies. Methods Research subjects were 1 026 admitted patients who underwent renal biopsy in the second affiliated Hospital of Xi'an Jiaotong University from January 2019 to December 2021. We compared means of clinical indicators between bleeding patients (343 cases) and non-bleeding (683 cases) patients. Correlations were analyzed between bleeding size and each clinical indicator in all patients or bleeding patients. We selected the influence factors associated with bleeding events by Logistic regression. Results There were 343 (33.4%) cases with bleeding which were detected by ultrasound, including 5 cases (0.49%) with major bleeding which received therapy. The bleeding rate in women after renal biopsy was significantly higher than that in men (37.8% vs 29.4%, P<0.05). Among all the basic information and clinical indicators, body mass index, hemoglobin, red blood cells, platelets, urine specific gravity, urine protein, triglyceride, total cholesterol, prothrombin activity, thrombin time in bleeding group were all significantly lower than non-bleeding group. Oppositely, prothrombin time, international normalized ratio in bleeding group were all significantly higher than non-bleeding group. By further analyzing the data of the bleeding group, we found that the size of the hematoma was significantly positively correlated with fasting blood glucose and activated partial thromboplastin time. Through multivariate Logistic regression analysis, platelet counts were identified as high risk factors for bleeding events (OR=0.996, P<0.05). Conclusion Lower platelets counts are the high risk factors associated with bleeding events after ultrasound-guided percutaneous native renal biopsies.

Key words: renal biopsy, bleeding events, high risk factors

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