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Functional Improvement Among Intracerebral Hemorrhage (ICH) Survivors up to 12 Months Post-injury.

ABSTRACT: BACKGROUND AND PURPOSE:As survival rates have increased for intracerebral hemorrhage (ICH) patients, there is limited information regarding recovery beyond 3-6 months. This study was conducted to examine recovery curves using the modified Rankin Scale (mRS) and Barthel Index (BI) up to 12 months post-injury. METHODS:We prospectively enrolled 173 patients admitted with ICH who were subsequently evaluated using the mRS and BI at discharge as well as 3, 6, and 12 months. Repeated measures nonparametric testing was conducted to assess functional trajectories across time. RESULTS:The mRS scores showed significant improvement between discharge (median 4) and 3 (median 4), 6 (median 4), and 12 months (median 3) (p values <0.001). However, the mRS scores did not differ between follow-up time-points (i.e., 3-6, 6-12 months). There was significant improvement in scores using the BI (p values <0.001), showing improvement between discharge (mean 43.0) and 3 (mean 73.0), 6 (mean 78.2), and 12 months (mean 83.4). Additionally, there were differences in the BI between 3 and 12 months (p = 0.013), as well as between 6 and 12 months (p = 0.025). CONCLUSIONS:The BI may be a more sensitive measure of long-term recovery post-injury than the mRS, which shows minimal improvement for some survivors after 3 months. BI scores indicate survivors continually improve till 12 months post-injury. These results may have implications for the prognostication of ICH and design of clinical trial outcome measures.

SUBMITTER: Sreekrishnan A

PROVIDER: S-EPMC5700855 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

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Functional Improvement Among Intracerebral Hemorrhage (ICH) Survivors up to 12 Months Post-injury.

Sreekrishnan Anirudh A Leasure Audrey C AC Shi Fu-Dong FD Hwang David Y DY Schindler Joseph L JL Petersen Nils H NH Gilmore Emily J EJ Kamel Hooman H Sansing Lauren H LH Greer David M DM Sheth Kevin N KN

Neurocritical care 20171201 3

<h4>Background and purpose</h4>As survival rates have increased for intracerebral hemorrhage (ICH) patients, there is limited information regarding recovery beyond 3-6 months. This study was conducted to examine recovery curves using the modified Rankin Scale (mRS) and Barthel Index (BI) up to 12 months post-injury.<h4>Methods</h4>We prospectively enrolled 173 patients admitted with ICH who were subsequently evaluated using the mRS and BI at discharge as well as 3, 6, and 12 months. Repeated mea ...[more]

PMID: 28685394

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Project description:PurposeWe develop a new risk score to predict patients with stroke-associated pneumonia (SAP) who have an acute intracranial hemorrhage (ICH).MethodWe applied logistic regression to develop a new risk score called ICH-LR2S2. It was derived from examining a dataset of 70,540 ICH patients between 2015 and 2018 from the Chinese Stroke Center Alliance (CSCA). During the training of ICH-LR2S2, patients were randomly divided into two groups - 80% for the training set and 20% for model validation. A prospective test set was developed using 12,523 patients recruited in 2019. To further verify its effectiveness, we tested ICH-LR2S2 on an external dataset of 24,860 patients from the China National Stroke Registration Management System II (CNSR II). The performance of ICH-LR2S2 was measured by the area under the receiver operating characteristic curve (AUROC).ResultsThe incidence of SAP in the dataset was 25.52%. A 24-point ICH-LR2S2 was developed from independent predictors, including age, modified Rankin Scale, fasting blood glucose, National Institutes of Health Stroke Scale admission score, Glasgow Coma Scale score, C-reactive protein, dysphagia, Chronic Obstructive Pulmonary Disease, and current smoking. The results showed that ICH-LR2S2 achieved an AUC = 0.749 [95% CI 0.739-0.759], which outperforms the best baseline ICH-APS (AUC = 0.704) [95% CI 0.694-0.714]. Compared with the previous ICH risk scores, ICH-LR2S2 incorporates fasting blood glucose and C-reactive protein, improving its discriminative ability. Machine learning methods such as XGboost (AUC = 0.772) [95% CI 0.762-0.782] can further improve our prediction performance. It also performed well when further validated by the external independent cohort of patients (n = 24,860), ICH-LR2S2 AUC = 0.784 [95% CI 0.774-0.794].ConclusionICH-LR2S2 accurately distinguishes SAP patients based on easily available clinical features. It can help identify high-risk patients in the early stages of diseases.

Dataset Information

Functional Improvement Among Intracerebral Hemorrhage (ICH) Survivors up to 12 Months Post-injury.

Publications

Functional Improvement Among Intracerebral Hemorrhage (ICH) Survivors up to 12 Months Post-injury.

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