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Published in: BMC Neurology 1/2023

Open Access 01-12-2023 | Stroke | Research

A 6-month prognostic nomogram incorporating hemoglobin level for intracerebral hemorrhage in younger adults

Authors: Yuyan Yang, Shanshan Huang, Yuchao Jia, Guini Song, Xiaodong Ye, Kai Lu, Guo Li, Furong Wang, Suiqiang Zhu

Published in: BMC Neurology | Issue 1/2023

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Abstract

Objective

Intracerebral hemorrhage (ICH) is the second most common subtype of stroke, with high mortality and morbidity. At present, there are no effective 6-month prognostic markers, particularly for younger patients. The aim of this research was to construct a new valuable prognostic nomogram model incorporating haemoglobin levels for adult patients with ICH.

Methods

Patients aged between 18 and 50 presenting with intracerebral haemorrhage at the Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology between January 1st 2012 and December 31st 2018 were included in this retrospective study. Independent factors of prognosis were identified by univariate and multivariate logistic regression analyses, and a new nomogram model was constructed and validated. The clinical value of the nomogram model was subsequently explored utilizing decision curve analysis and clinical impact curves.

Results

In total, 565 patients were enrolled in this study, 117 (20.7%) of whom developed an unfavourable prognosis. Infratentorial lesion (adjusted odds ratio [aOR] = 3.708, 95% confidence interval [CI], 1.490–9.227; P = 0.005) was the most significant unfavourable outcome. Age ([aOR] = 1.054; 95% CI, 1.014–1.096; P = 0.008), hematoma volume (aOR = 1.014, 95% CI, 1.002–1.027; P = 0.024), haemoglobin (aOR = 0.981, 95% CI, 0.969–0.993; P = 0.002), blood glucose (aOR = 1.135, 95% CI, 1.037–1.241; P = 0.005) and NIHSS (aOR = 1.105, 95% CI, 1.069–1.141; P < 0.001) were independent risk factors. Based on these 6 factors, the nomogram can be employed to predict early functional prognosis with high accuracy (AUC 0.791). Decision curve analysis and clinical impact curves showed an increased net benefit for utilizing the nomogram.

Conclusion

The haemoglobin level at admission may be an easily overlooked factor in clinical work. This new nomogram model could be a promising and convenient tool to predict the early functional prognosis of adults with ICH. More prospective multicentre studies are needed to validate these findings.
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Metadata
Title
A 6-month prognostic nomogram incorporating hemoglobin level for intracerebral hemorrhage in younger adults
Authors
Yuyan Yang
Shanshan Huang
Yuchao Jia
Guini Song
Xiaodong Ye
Kai Lu
Guo Li
Furong Wang
Suiqiang Zhu
Publication date
01-12-2023
Publisher
BioMed Central
Keywords
Stroke
Hematoma
Published in
BMC Neurology / Issue 1/2023
Electronic ISSN: 1471-2377
DOI
https://doi.org/10.1186/s12883-022-03039-9

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