Dataset Information

Hematoma shape, hematoma size, Glasgow coma scale score and ICH score: which predicts the 30-day mortality better for intracerebral hematoma?

ABSTRACT:

Purpose

To investigate the performance of hematoma shape, hematoma size, Glasgow coma scale (GCS) score, and intracerebral hematoma (ICH) score in predicting the 30-day mortality for ICH patients. To examine the influence of the estimation error of hematoma size on the prediction of 30-day mortality.

Materials and methods

This retrospective study, approved by a local institutional review board with written informed consent waived, recruited 106 patients diagnosed as ICH by non-enhanced computed tomography study. The hemorrhagic shape, hematoma size measured by computer-assisted volumetric analysis (CAVA) and estimated by ABC/2 formula, ICH score and GCS score was examined. The predicting performance of 30-day mortality of the aforementioned variables was evaluated. Statistical analysis was performed using Kolmogorov-Smirnov tests, paired t test, nonparametric test, linear regression analysis, and binary logistic regression. The receiver operating characteristics curves were plotted and areas under curve (AUC) were calculated for 30-day mortality. A P value less than 0.05 was considered as statistically significant.

Results

The overall 30-day mortality rate was 15.1% of ICH patients. The hematoma shape, hematoma size, ICH score, and GCS score all significantly predict the 30-day mortality for ICH patients, with an AUC of 0.692 (P?=?0.0018), 0.715 (P?=?0.0008) (by ABC/2) to 0.738 (P?=?0.0002) (by CAVA), 0.877 (P<0.0001) (by ABC/2) to 0.882 (P<0.0001) (by CAVA), and 0.912 (P<0.0001), respectively.

Conclusion

Our study shows that hematoma shape, hematoma size, ICH scores and GCS score all significantly predict the 30-day mortality in an increasing order of AUC. The effect of overestimation of hematoma size by ABC/2 formula in predicting the 30-day mortality could be remedied by using ICH score.

SUBMITTER: Wang CW

PROVIDER: S-EPMC4100880 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Publications

Hematoma shape, hematoma size, Glasgow coma scale score and ICH score: which predicts the 30-day mortality better for intracerebral hematoma?

Wang Chih-Wei CW Liu Yi-Jui YJ Lee Yi-Hsiung YH Hueng Dueng-Yuan DY Fan Hueng-Chuen HC Yang Fu-Chi FC Hsueh Chun-Jen CJ Kao Hung-Wen HW Juan Chun-Jung CJ Hsu Hsian-He HH

PloS one 20140716 7

<h4>Purpose</h4>To investigate the performance of hematoma shape, hematoma size, Glasgow coma scale (GCS) score, and intracerebral hematoma (ICH) score in predicting the 30-day mortality for ICH patients. To examine the influence of the estimation error of hematoma size on the prediction of 30-day mortality.<h4>Materials and methods</h4>This retrospective study, approved by a local institutional review board with written informed consent waived, recruited 106 patients diagnosed as ICH by non-enh ...[more]

PMID: 25029592

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Project description:BackgroundThe cerebrospinal fluid circulation of patients with intracerebral hemorrhage (ICH) can be blocked by blood clots, resulting in acute hydrocephalus. However, current research on chronic hydrocephalus (CH) is lacking.MethodsA total of 253 patients with ICH combined with coma treated at The Third People's Hospital of Gansu Province after emergency hematoma removal from January 2018 to January 2020 were included. Patients were divided into the CH group (n=48) and the control group (n=205) depending on whether hydrocephalus occurred or not within 3-12 months after operation. The main clinical characteristics of the two groups were compared, and the risk factors for CH were analyzed. Counting data of the two groups were expressed as "n (%)", and multivariate logistic regression analysis was used to explore the risk factors for CH.ResultsCompared with the control group, the proportion of patients with modified Graeb score ≥5 points in the CH group increased significantly (52.08% vs. 21.95%, P=0.000). The proportion of patients with preoperative cerebral hernia increased significantly (37.5% vs. 19.51%, P=0.008). The proportion of patients with preoperative obstructive hydrocephalus increased (43.75% vs. 24.39%, P=0.007). The proportion of patients with postoperative subdural effusion increased (41.67% vs. 13.66%, P=0.000). Multivariate logistic regression analysis showed that a modified Graeb score ≥5 points and postoperative subdural effusion were risk factors for the formation of CH in patients with ICH complicated by coma after emergency hematoma removal (P<0.05). The modified Graeb score has diagnostic value for the formation of CH in patients with ICH combined with coma after emergency hematoma removal, and the area under the curve was 0.653 [P=0.001, 95% confidence interval (CI): 0.561-0.744]. There was no significant difference in preoperative neurological deficit score between the control group and the CH group (19.75±3.03 vs. 19.86±3.01, P=0.113). Compared with the control group, the neurological deficit score at 12 months after operation in the CH group was significantly higher (12.73±2.99 vs. 10.64±2.82, P=0.000).ConclusionsA modified Graeb score >5 points and postoperative subdural effusion are risk factors for the formation of CH in patients with ICH combined with coma after emergency hematoma removal. The formation of CH affects postoperative neurological rehabilitation.

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.

Project description:Background and purposeInfections are common after intracerebral hemorrhage, but little is known about the risk of serious infection requiring readmission after hospital discharge.MethodsTo determine if infections are prevalent in patients readmitted within 30 days of discharge, we performed a retrospective cohort study of patients discharged from nonfederal acute care hospitals in California with a primary diagnosis of intracerebral hemorrhage between 2006 and 2010. We excluded patients who died during the index admission, were discharged against medical advice, or were not California residents. Our main outcome was 30-day unplanned readmission with primary infection-related International Classification of Diseases, Ninth Revision, Clinical Modification code.ResultsThere were 24 540 index intracerebral hemorrhage visits from 2006 to 2010. Unplanned readmissions occurred in 14.5% (n=3550) of index patients. Of 3550 readmissions, 777 (22%) had an infection-related primary diagnosis code. When evaluating primary and all secondary diagnosis codes, infection was associated with 1826 (51%) of readmissions. Other common diagnoses associated with readmission included stroke-related codes (n=840, 23.7%) and aspiration pneumonitis (n=154, 4.3%). The most common infection-related primary diagnosis codes were septicemia (n=420, 11.8%), pneumonia (n=124, 3.5%), urinary tract infection (n=141, 4.0%), and gastrointestinal infection (n=42, 1.2%). Patients with a primary infection-related International Classification of Diseases, Ninth Revision, Clinical Modification code on readmission had higher in-hospital mortality compared with other types of readmission (15.6% versus 8.0%, P<0.001). After controlling for other predictors of mortality, primary infection-related readmissions remained associated with in-hospital mortality (relative risk, 1.7; 95% confidence interval, 1.3-2.2).ConclusionsInfections are associated with a majority of 30-day readmissions after intracerebral hemorrhage and increased mortality. Efforts should be made to reduce infection-related complications after hospital discharge.

Dataset Information

Hematoma shape, hematoma size, Glasgow coma scale score and ICH score: which predicts the 30-day mortality better for intracerebral hematoma?

Purpose

Materials and methods

Results

Conclusion

Publications

Hematoma shape, hematoma size, Glasgow coma scale score and ICH score: which predicts the 30-day mortality better for intracerebral hematoma?

Similar Datasets

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