Evidence map›Paper›PMID 39488566›Full record

ArticleScientific reports2024

Predictive factors for shunt dependency in patients with spontaneous intraventricular hemorrhage.

Chi-Ruei Li, Chun-Ming Yen, Meng-Yin Yang, Wen-Yu Cheng, Chiung-Chyi Shen, Szu-Yuan Liu

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
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4citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Chi-Ruei LiDepartment of Neurosurgery, Neurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan, ROC.
Chun-Ming YenDepartment of Neurosurgery, Neurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan, ROC.
Meng-Yin YangDepartment of Neurosurgery, Neurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan, ROC.
Wen-Yu ChengDepartment of Neurosurgery, Neurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan, ROC.
Chiung-Chyi ShenDepartment of Neurosurgery, Neurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan, ROC.
Szu-Yuan LiuDepartment of Neurosurgery, Neurological Institute, Taichung Veterans General Hospital, Taichung, Taiwan, ROC. szuyuan1975@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intraventricular hemorrhage (IVH) occurs in approximately 30-50% patients with spontaneous intracerebral hemorrhage (ICH), with a high 30-day mortality rate. Excess accumulation of parenchymal or ventricular blood associated with the development of acute hydrocephalus leads to poor outcomes. The prediction of shunt dependency is important to identify patients susceptible to requiring permanent shunt placement and benefit from the diversion. This retrospective analytical study aimed to establish a predictive model of shunt dependency in patients with IVH. This study included 179 patients with primary IVH with supratentorial origin or spontaneous ICH with extension into the ventricles between 2015 and 2021. Patients were grouped into "shunt required" and "shunt not required" groups. Variables, including age, sex, preexisting hypertension and diabetes, initial Glasgow Coma Scale scores, ICH location and volume, urokinase administration, modified Graeb score (mGraeb score), and bicaudate index, were analyzed. The shunt required group had significantly higher mGraeb scores (12.0 (6.5-15.0) vs. 7.0 (4.0-12.0), p = 0.001) and higher bicaudate index (0.20 (0.17-0.23) vs. 0.16 (0.13-0.18), P < 0.001) than the shunt not required group. The receiver operating characteristic curve (ROC curve) analysis revealed that a cut-off value of 0.16 of the bicaudate index was significantly related to shunt dependency. The subgroup statistical analysis revealed that neither urokinase administration (p = 0.533) nor urokinase dosage (p = 0.117) showed significant relevance in shunt dependency in patients who received external ventricular drainage. In logistic regression adjusted for the confounders, thalamic ICH (odds ratio (OR) 3.55; 95% confidence interval [(95%CI), 1.13-11.18], an mGraeb score greater than 8 (OR, 3.93; 95%CI, 1.84-8.38), and a bicaudate index greater than 0.16 (OR, 9.87; 95%CI, 3.79-25.73) were factors associated with a higher tendency for shunting. The findings of this study may help identify patients at risk for a permanent shunt after IVH.

Indexed as

Cerebral HemorrhageHydrocephalusAgedAged, 80 and overCerebral VentriclesCerebrospinal Fluid ShuntsFemaleGlasgow Coma ScaleHumansMaleMiddle AgedRetrospective StudiesRisk Factors

Identifiers

PMID39488566
PMCPMC11531539

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.