Literature DB >> 29540109

The START nomogram for individualized prediction of the probability of unfavorable outcome after intravenous thrombolysis for stroke.

Manuel Cappellari1, Gianni Turcato2, Stefano Forlivesi1, Fabio Bagante3, Gianfranco Cervellin4, Giuseppe Lippi5, Bruno Bonetti1, Paolo Bovi1, Danilo Toni6.   

Abstract

Background and purpose The nomogram is an important component of modern medical decision-making, which calculates the probability of an event entirely based on individual characteristics. We aimed to develop and validate a nomogram for individualized prediction of the probability of unfavorable outcome in intravenous thrombolysis-treated stroke patients included in the large multicenter Safe Implementation of Thrombolysis in Stroke-International Stroke Thrombolysis Register. Methods All patients registered in the Safe Implementation of Thrombolysis in Stroke-International Stroke Thrombolysis Register by 179 Italian centers between May 2001 and March 2016 were originally included. The main outcome measure was three-month unfavorable outcome (modified Rankin Scale 3-6). Four non-categorical predictors of unfavorable outcome (baseline National Institutes of Health (NIH) Stroke Scale score: 0-25, age ≥18 years, pre-stroke modified Rankin Scale score: 0-2, and onset-to-treatment time: 0-270 min) were identified a-priori by three neurologists with expertise in the management of stroke. To generate the NIHSS STroke Scale score, Age, pre-stroke mRS score, onset-to-treatment Time (START), the pre-established predictors were entered into a logistic regression model. The discriminative performance of the model was assessed using the area under the receiver operating characteristic curve. Results A total of 15,862 patients with complete data for generating the START was randomly dichotomized into training (2/3, n = 10,574) and test (1/3, n = 5288) sets. The area under the receiver operating characteristic curve of START was 0.800 (95% confidence interval: 0.792-0.809) in the training set and 0.815 (95% confidence interval: 0.804-0.822) in the test set. Conclusions By using a limited number of non-categorical predictors, the START is the first nomogram developed and validated in a large Safe Implementation of Thrombolysis in Stroke-International Stroke Thrombolysis Register cohort, which reliably calculates the probability of unfavorable outcome in intravenous thrombolysis-treated stroke patients.

Entities:  

Keywords:  Thrombolysis; nomogram; outcome; prognosis; recombinant tissue plasminogen activator (rtPA); stroke

Mesh:

Substances:

Year:  2018        PMID: 29540109     DOI: 10.1177/1747493018765490

Source DB:  PubMed          Journal:  Int J Stroke        ISSN: 1747-4930            Impact factor:   5.266


  9 in total

1.  A Dynamic Nomogram to Identify Patients at High Risk of Poor Outcome in Stroke Patients with Chronic Kidney Disease.

Authors:  Fusang Wang; Xiaohan Zheng; Juan Zhang; Fuping Jiang; Nihong Chen; Mengyi Xu; Yuezhang Wu; Junshan Zhou; Xiaoli Cui; Jianjun Zou
Journal:  Clin Interv Aging       Date:  2022-05-10       Impact factor: 4.458

2.  Introduction of direct oral anticoagulant within 7 days of stroke onset: a nomogram to predict the probability of 3-month modified Rankin Scale score > 2.

Authors:  Manuel Cappellari; Gianni Turcato; Stefano Forlivesi; Nicola Micheletti; Giampaolo Tomelleri; Bruno Bonetti; Giovanni Merlino; Roberto Eleopra; Monia Russo; Roberto L'Erario; Alessandro Adami; Carolina Gentile; Anna Gaudenzi; Sandro Bruno; Paolo Bovi
Journal:  J Thromb Thrombolysis       Date:  2018-10       Impact factor: 2.300

3.  A nomogram to predict unfavourable outcome in patients receiving oral anticoagulants for atrial fibrillation after stroke.

Authors:  Manuel Cappellari; David J Seiffge; Masatoshi Koga; Maurizio Paciaroni; Stefano Forlivesi; Gianni Turcato; Paolo Bovi; Sohei Yoshimura; Kanta Tanaka; Masayuki Shiozawa; Takeshi Yoshimoto; Kaori Miwa; Masahito Takagi; Manabu Inoue; Hiroshi Yamagami; Valeria Caso; Georgios Tsivgoulis; Michele Venti; Monica Acciarresi; Andrea Alberti; Danilo Toni; Alexandros Polymeris; Bruno Bonetti; Giancarlo Agnelli; Kazunori Toyoda; Stefan T Engelter; Gian Marco De Marchis
Journal:  Eur Stroke J       Date:  2020-11-26

4.  Developing a Nomogram to Predict the Probability of Subsequent Vascular Events at 6-Month in Chinese Patients with Minor Ischemic Stroke.

Authors:  Yuping Du; Ping Gu; Yu Cui; Yi Wang; Juanjuan Ran
Journal:  Ther Clin Risk Manag       Date:  2021-06-01       Impact factor: 2.423

5.  A NADE nomogram to predict the probability of 6-month unfavorable outcome in Chinese patients with ischemic stroke.

Authors:  Chao Sun; Xiang Li; Baili Song; Xiangliang Chen; Linda Nyame; Yukai Liu; Dan Tang; Mako Ibrahim; Zheng Zhao; Chao Liu; Miao Yan; Xiding Pan; Jie Yang; Junshan Zhou; Jianjun Zou
Journal:  BMC Neurol       Date:  2019-11-07       Impact factor: 2.474

6.  Early prediction of the 3-month outcome for individual acute ischemic stroke patients who received intravenous thrombolysis using the N2H3 nomogram model.

Authors:  Shan Lv; Yu Song; Fu-Liang Zhang; Xiu-Li Yan; Jie Chen; Liang Gao; Zhen-Ni Guo; Yi Yang
Journal:  Ther Adv Neurol Disord       Date:  2020-09-04       Impact factor: 6.570

7.  Development of a nomogram to predict the outcome of moderate or severe pediatric traumatic brain injury.

Authors:  Thakul Oearsakul; Thara Tunthanathip
Journal:  Turk J Emerg Med       Date:  2022-01-20

8.  A novel nomogram to predict mortality in patients with stroke: a survival analysis based on the MIMIC-III clinical database.

Authors:  Xiao-Dan Li; Min-Min Li
Journal:  BMC Med Inform Decis Mak       Date:  2022-04-06       Impact factor: 2.796

9.  A New Nomogram for Predicting the Risk of Intracranial Hemorrhage in Acute Ischemic Stroke Patients After Intravenous Thrombolysis.

Authors:  Ze-An Weng; Xiao-Xiong Huang; Die Deng; Zhen-Guo Yang; Shu-Yuan Li; Jian-Kun Zang; Yu-Feng Li; Yan-Fang Liu; You-Sheng Wu; Tian-Yuan Zhang; Xuan-Lin Su; Dan Lu; An-Ding Xu
Journal:  Front Neurol       Date:  2022-03-10       Impact factor: 4.003

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.