Platelets (Jul 2021)

Risk stratification and outcomes of intracranial hemorrhage in patients with immune thrombocytopenia under 60 years of age

  • Peng Zhao,
  • Ming Hou,
  • Yi Liu,
  • Hui-Xin Liu,
  • Rui-Bin Huang,
  • Hong-Xia Yao,
  • Ting Niu,
  • Jun Peng,
  • Ming Jiang,
  • Yan-Qiu Han,
  • Jian-Da Hu,
  • Hu Zhou,
  • Ze-Ping Zhou,
  • Lin Qiu,
  • Lian-Sheng Zhang,
  • Xin Wang,
  • Hua-Quan Wang,
  • Ru Feng,
  • Lin-Hua Yang,
  • Liang-Ming Ma,
  • Shun-Qing Wang,
  • Pei-Yan Kong,
  • Wen-Sheng Wang,
  • Hui-Ping Sun,
  • Jing Sun,
  • He-Bing Zhou,
  • Tie-Nan Zhu,
  • Li-Ru Wang,
  • Jing-Yu Zhang,
  • Qiu-Sha Huang,
  • Xiao Liu,
  • Hai-Xia Fu,
  • Yue-Ying Li,
  • Qian-Fei Wang,
  • Qian Jiang,
  • Hao Jiang,
  • Jin Lu,
  • Xiao-Hui Zhang

DOI
https://doi.org/10.1080/09537104.2020.1786042
Journal volume & issue
Vol. 32, no. 5
pp. 633 – 641

Abstract

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Intracranial hemorrhage (ICH) is a devastating complication of immune thrombocytopenia (ITP). However, information on ICH in ITP patients under the age of 60 years is limited, and no predictive tools are available in clinical practice. A total of 93 adult patients with ITP who developed ICH before 60 years of age were retrospectively identified from 2005 to 2019 by 27 centers in China. For each case, 2 controls matched by the time of ITP diagnosis and the duration of ITP were provided by the same center. Multivariate analysis identified head trauma (OR = 3.216, 95%CI 1.296–7.979, P =.012), a platelet count ≤ 15,000/μL at the time of ITP diagnosis (OR = 1.679, 95%CI 1.044–2.698, P =.032) and severe/life-threatening bleeding (severe bleeding vs. mild bleeding, OR = 1.910, 95%CI 1.088–3.353, P =.024; life-threatening bleeding vs. mild bleeding, OR = 2.620, 95%CI 1.360–5.051, P =.004) as independent risk factors for ICH. Intraparenchymal hemorrhage (OR = 5.191, 95%CI 1.717–15.692, P =.004) and a history of severe bleeding (OR = 4.322, 95%CI 1.532–12.198, P =.006) were associated with the 30-day outcome of ICH. These findings may facilitate ICH risk stratification and outcome prediction in patients with ITP.

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