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A 6-month prognostic nomogram incorporating hemoglobin level for intracerebral hemorrhage in younger adults
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 mod...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9817395/ https://www.ncbi.nlm.nih.gov/pubmed/36609246 http://dx.doi.org/10.1186/s12883-022-03039-9 |
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author | Yang, Yuyan Huang, Shanshan Jia, Yuchao Song, Guini Ye, Xiaodong Lu, Kai Li, Guo Wang, Furong Zhu, Suiqiang |
author_facet | Yang, Yuyan Huang, Shanshan Jia, Yuchao Song, Guini Ye, Xiaodong Lu, Kai Li, Guo Wang, Furong Zhu, Suiqiang |
author_sort | Yang, Yuyan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9817395 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98173952023-01-07 A 6-month prognostic nomogram incorporating hemoglobin level for intracerebral hemorrhage in younger adults Yang, Yuyan Huang, Shanshan Jia, Yuchao Song, Guini Ye, Xiaodong Lu, Kai Li, Guo Wang, Furong Zhu, Suiqiang BMC Neurol Research 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. BioMed Central 2023-01-06 /pmc/articles/PMC9817395/ /pubmed/36609246 http://dx.doi.org/10.1186/s12883-022-03039-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Yang, Yuyan Huang, Shanshan Jia, Yuchao Song, Guini Ye, Xiaodong Lu, Kai Li, Guo Wang, Furong Zhu, Suiqiang A 6-month prognostic nomogram incorporating hemoglobin level for intracerebral hemorrhage in younger adults |
title | A 6-month prognostic nomogram incorporating hemoglobin level for intracerebral hemorrhage in younger adults |
title_full | A 6-month prognostic nomogram incorporating hemoglobin level for intracerebral hemorrhage in younger adults |
title_fullStr | A 6-month prognostic nomogram incorporating hemoglobin level for intracerebral hemorrhage in younger adults |
title_full_unstemmed | A 6-month prognostic nomogram incorporating hemoglobin level for intracerebral hemorrhage in younger adults |
title_short | A 6-month prognostic nomogram incorporating hemoglobin level for intracerebral hemorrhage in younger adults |
title_sort | 6-month prognostic nomogram incorporating hemoglobin level for intracerebral hemorrhage in younger adults |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9817395/ https://www.ncbi.nlm.nih.gov/pubmed/36609246 http://dx.doi.org/10.1186/s12883-022-03039-9 |
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