Literature DB >> 33499823

Hemostasis functions are associated with hemorrhagic transformation in non-atrial fibrillation patients: a case-control study.

Hao-Ran Cheng1, Yun-Bin Chen1, Ya-Ying Zeng1, Yi-Ting Ruan1, Cheng-Xiang Yuan1, Qian-Qian Cheng2, Hui-Jun Chen1, Xiao-Qian Luan1, Gui-Qian Huang3, Jin-Cai He4.   

Abstract

BACKGROUND: Hemorrhagic transformation (HT) is a serious neurological complication of acute ischemic stroke (AIS) after revascularization. The majority of AIS patients do not have atrial fibrillation (AF) which could also develop into HT. In this study, we aimed to explore whether hemostasis parameters are risk factors of HT in non-AF patients.
METHODS: We consecutively enrolled 285 AIS patients with HT. Meanwhile, age- and sex-matched 285 AIS patients without HT were included. The diagnosis of HT was determined by brain CT or MRI during hospitalization. All patients were divided into two subgroups based on the presence of AF and explore the differences between the two subgroups. Blood samples were obtained within 24 h of admission, and all patients were evenly classified into three tertiles according to platelet counts (PLT) levels.
RESULTS: In this study, we found the first PLT tertile (OR = 3.509, 95%CI = 1.268-9.711, P = 0.016) was independently associated with HT in non-AF patients, taking the third tertile as a reference. Meanwhile, we also found mean platelet volume (MPV) (OR = 0.605, 95%CI = 0.455-0.805, P = 0.001) and fibrinogen (FIB) (OR = 1.928, 95%CI = 1.346-2.760, P < 0.001) were significantly associated with HT in non-AF patients. But in AF patients, hemostasis parameters showed no significant difference. Meanwhile, we found the MPV (OR = 1.314, 95%CI = 1.032-1.675, P = 0.027) and FIB (OR = 1.298, 95%CI = 1.047-1.610, P = 0.018) were significantly associated with long-term outcomes in non-AF HT patients.
CONCLUSIONS: Low PLT, low MPV, and high FIB levels were independently associated with HT in non-AF patients. Additionally, MPV and FIB levels were significantly associated with unfavorable long-term outcomes in non-AF HT patients. Our study showed that hemostasis functions at admission may be beneficial for clinicians to recognize patients with a high risk of HT at an early stage and improve unfavorable long-term outcomes in non-AF patients.

Entities:  

Keywords:  Acute ischemic stroke; Atrial fibrillation; Hemorrhagic transformation; Hemostasis function

Mesh:

Substances:

Year:  2021        PMID: 33499823      PMCID: PMC7836156          DOI: 10.1186/s12883-021-02065-3

Source DB:  PubMed          Journal:  BMC Neurol        ISSN: 1471-2377            Impact factor:   2.474


  47 in total

1.  Factors Associated with Hemorrhagic Transformation in Infarctions Involving the Posterior Circulation System.

Authors:  Burcu Selbest Demirtas; Levent Ocek; Yasar Zorlu; Ozgur Oztekin
Journal:  J Stroke Cerebrovasc Dis       Date:  2019-05-25       Impact factor: 2.136

2.  Risk factors of hemorrhagic transformation after intravenous thrombolysis with rt-PA in acute cerebral infarction.

Authors:  R Wang; J Zeng; F Wang; X Zhuang; X Chen; J Miao
Journal:  QJM       Date:  2019-05-01

3.  Hemorrhagic transformation after stroke: inter- and intrarater agreement.

Authors:  A Guenego; A Lecler; J Raymond; C Sabben; N Khoury; K Premat; D Botta; W Boisseau; B Maïer; G Ciccio; H Redjem; S Smajda; C Ducroux; L Di Meglio; V Davy; J M Olivot; A Wang; J Duplantier; M Roques; S Krystal; P Koskas; A Collin; M Ben Maacha; M Hamdani; K Zuber; R Blanc; M Piotin; R Fahed
Journal:  Eur J Neurol       Date:  2018-12-07       Impact factor: 6.089

4.  Time course of depression and one-year prognosis of patients with stroke in mainland China.

Authors:  Ning Zhang; Chun-Xue Wang; An-Xin Wang; Ying Bai; Yong Zhou; Yi-Long Wang; Tong Zhang; Juan Zhou; Xin Yu; Xin-Yu Sun; Zhao-Rui Liu; Xing-Quan Zhao; Yong-Jun Wang
Journal:  CNS Neurosci Ther       Date:  2012-06       Impact factor: 5.243

5.  Defining clinically relevant cerebral hemorrhage after thrombolytic therapy for stroke: analysis of the National Institute of Neurological Disorders and Stroke tissue-type plasminogen activator trials.

Authors:  Neal M Rao; Steven R Levine; Jeffrey A Gornbein; Jeffrey L Saver
Journal:  Stroke       Date:  2014-08-05       Impact factor: 7.914

Review 6.  The relationship of mean platelet volume with the risk and prognosis of cardiovascular diseases.

Authors:  L Vizioli; S Muscari; A Muscari
Journal:  Int J Clin Pract       Date:  2009-10       Impact factor: 2.503

7.  Frequency and predictors of spontaneous hemorrhagic transformation in ischemic stroke and its association with prognosis.

Authors:  Song Tan; Deren Wang; Ming Liu; Shihong Zhang; Bo Wu; Bian Liu
Journal:  J Neurol       Date:  2014-03-04       Impact factor: 4.849

Review 8.  Factors influencing haemorrhagic transformation in ischaemic stroke.

Authors:  José Álvarez-Sabín; Olga Maisterra; Estevo Santamarina; Carlos S Kase
Journal:  Lancet Neurol       Date:  2013-05-31       Impact factor: 44.182

9.  Clinical usefulness of measuring prothrombin time and soluble fibrin levels in Japanese patients with atrial fibrillation receiving rivaroxaban.

Authors:  Yoshihisa Nakano; Takahisa Kondo; Hiroyuki Osanai; Yosuke Murase; Yoshihito Nakashima; Hiroshi Asano; Masayoshi Ajioka; Kazuyoshi Sakai; Yasuya Inden; Toyoaki Murohara
Journal:  J Cardiol       Date:  2014-09-02       Impact factor: 3.159

10.  The mean platelet volume on admission predicts unfavorable stroke outcomes in patients treated with IV thrombolysis.

Authors:  Jacek Staszewski; Aleksandra Pogoda; Kamila Data; Klaudia Walczak; Maciej Nowocień; Emilia Frankowska; Adam Stępień
Journal:  Clin Interv Aging       Date:  2019-02-27       Impact factor: 4.458

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  1 in total

1.  Nomogram to predict hemorrhagic transformation for acute ischemic stroke in Western China: a retrospective analysis.

Authors:  Keming Zhang; Jianfang Luan; Changqing Li; Mingli Chen
Journal:  BMC Neurol       Date:  2022-04-26       Impact factor: 2.903

  1 in total

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