Qiang Peng1, Jiankang Hou1, Siyu Wang1, Feng Zhou1, Yan E1, Wei Wang1, Ting Huang1, Meng Wang1, Shi Huang1, Junshan Zhou2, Nihong Chen3,4, Yingdong Zhang5. 1. Department of Neurology, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, P.R. China. 2. Department of Neurology, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, P.R. China. zhoujunshan6807@163.com. 3. Department of Neurology, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, P.R. China. neon_2000@163.com. 4. Department of Neurology, Nanjing Yuhua Hospital, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, Jiangsu, China. neon_2000@163.com. 5. Department of Neurology, Nanjing First Hospital, Nanjing Medical University, No. 68 Changle Road, Nanjing, 210006, P.R. China. zhangyingdong@aliyun.com.
Abstract
BACKGROUND: Approximately 10% of patients would develop symptomatic intracranial hemorrhage (sICH) after endovascular therapy. The aim of our study was to explore the ability of hypersensitive C-reactive protein-albumin ratio (HAR) in predicting sICH after endovascular therapy. METHODS: From April 2016 to December 2018, 334 consecutive patients with anterior circulation infarction undergoing endovascular therapy were enrolled in our study. sICH was defined using Heidelberg bleeding classification after endovascular therapy. Multiple regression analysis was used to investigate the potential risk factors of sICH after endovascular therapy. We used receiver operating characteristic curve analysis and nomogram analysis to assess the overall discriminative ability of the HAR in predicting sICH after endovascular therapy. RESULTS: Among these 334 patients enrolled, 37 (11.1%) patients with anterior circulation infarction were identified with sICH after endovascular therapy. Univariate logistic regression analysis demonstrated that patients with higher levels of HAR may be inclined to develop sICH (odds ratio, 10.994; 95% confidence interval, 4.567-26.463; P = 0.001). This association remained significant even after adjustment for potential confounders. Also, a cutoff value of 0.526× 10- 3 for HAR was detected in predicting sICH (area under curve, 0.763). Furthermore, nomogram analysis also suggested that HAR was an indicator of sICH (c-index was 0.890, P< 0.001). CONCLUSIONS: This study showed that high levels of HAR could predict sICH after endovascular therapy.
BACKGROUND: Approximately 10% of patients would develop symptomatic intracranial hemorrhage (sICH) after endovascular therapy. The aim of our study was to explore the ability of hypersensitive C-reactive protein-albumin ratio (HAR) in predicting sICH after endovascular therapy. METHODS: From April 2016 to December 2018, 334 consecutive patients with anterior circulation infarction undergoing endovascular therapy were enrolled in our study. sICH was defined using Heidelberg bleeding classification after endovascular therapy. Multiple regression analysis was used to investigate the potential risk factors of sICH after endovascular therapy. We used receiver operating characteristic curve analysis and nomogram analysis to assess the overall discriminative ability of the HAR in predicting sICH after endovascular therapy. RESULTS: Among these 334 patients enrolled, 37 (11.1%) patients with anterior circulation infarction were identified with sICH after endovascular therapy. Univariate logistic regression analysis demonstrated that patients with higher levels of HAR may be inclined to develop sICH (odds ratio, 10.994; 95% confidence interval, 4.567-26.463; P = 0.001). This association remained significant even after adjustment for potential confounders. Also, a cutoff value of 0.526× 10- 3 for HAR was detected in predicting sICH (area under curve, 0.763). Furthermore, nomogram analysis also suggested that HAR was an indicator of sICH (c-index was 0.890, P< 0.001). CONCLUSIONS: This study showed that high levels of HAR could predict sICH after endovascular therapy.
Authors: P Gong; X Zhang; Y Gong; Y Liu; S Wang; Z Li; W Chen; F Zhou; J Zhou; T Jiang; Y Zhang Journal: Eur J Neurol Date: 2020-06-16 Impact factor: 6.089
Authors: Concetta Manno; Giulio Disanto; Giovanni Bianco; Stefania Nannoni; Mirjam Heldner; Simon Jung; Marcel Arnold; Johannes Kaesmacher; Mandy Müller; Sebastian Thilemann; Henrik Gensicke; Emmanuel Carrera; Urs Fischer; Timo Kahles; Andreas Luft; Krassen Nedeltchev; Claudio Staedler; Alessandro Cianfoni; Georg Kägi; Leo H Bonati; Patrik Michel; Carlo W Cereda Journal: Neurology Date: 2019-10-07 Impact factor: 9.910