A novel nomogram model for clinical outcomes of severe subarachnoid hemorrhage patients
BackgroundSystemic responses, especially inflammatory responses, after aneurysmal subarachnoid hemorrhage (SAH) are closely related to clinical outcomes. Our study aimed to explore the correlation between the systemic responses in the acute stage and the mid-term outcomes of severe SAH patients (Hun...
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| Format: | Article |
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Frontiers Media S.A.
2022-11-01
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| Series: | Frontiers in Neuroscience |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2022.1041548/full |
| _version_ | 1811304802467971072 |
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| author | Han-Yu Huang Han-Yu Huang Bin Yuan Bin Yuan Shu-Juan Chen Shu-Juan Chen Yan-ling Han Xin Zhang Xin Zhang Qing Yu Qi Wu |
| author_facet | Han-Yu Huang Han-Yu Huang Bin Yuan Bin Yuan Shu-Juan Chen Shu-Juan Chen Yan-ling Han Xin Zhang Xin Zhang Qing Yu Qi Wu |
| author_sort | Han-Yu Huang |
| collection | DOAJ |
| description | BackgroundSystemic responses, especially inflammatory responses, after aneurysmal subarachnoid hemorrhage (SAH) are closely related to clinical outcomes. Our study aimed to explore the correlation between the systemic responses in the acute stage and the mid-term outcomes of severe SAH patients (Hunt-Hess grade III-V).Materials and methodsSevere SAH patients admitted to Jinling Hospital from January 2015 to December 2019 were retrospectively analyzed in the study. The univariate and multivariate logistic regression analyses were used to explore the risk factors of 6-month clinical outcomes in severe SAH patients. A predictive model was established based on those risk factors and was visualized by a nomogram. Then, the predictive nomogram model was validated in another severe SAH patient cohort from January 2020 to January 2022.ResultsA total of 194 patients were enrolled in this study. 123 (63.4%, 123 of 194) patients achieved good clinical outcomes at the 6-month follow-up. Univariate and multivariate logistic regression analysis revealed that age, Hunt-Hess grade, neutrophil-to-lymphocyte ratio (NLR), and complications not related to operations were independent risk factors for unfavorable outcomes at 6-month follow-up. The areas under the curve (AUC) analysis showed that the predictive model based on the above four variables was significantly better than the Hunt-Hess grade (0.812 vs. 0.685, P = 0.013). In the validation cohort with 44 severe SAH patients from three different clinical centers, the AUC of the prognostic nomogram model was 0.893.ConclusionThe predictive nomogram model could be a reliable predictive tool for the outcome of severe SAH patients. Systemic inflammatory responses after SAH and complications not related to operations, especially hydrocephalus, delayed cerebral ischemia, and pneumonia, might be the important risk factors that lead to poor outcomes in severe SAH patients. |
| first_indexed | 2024-04-13T08:13:49Z |
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| institution | Directory Open Access Journal |
| issn | 1662-453X |
| language | English |
| last_indexed | 2024-04-13T08:13:49Z |
| publishDate | 2022-11-01 |
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| series | Frontiers in Neuroscience |
| spelling | doaj.art-af868a09eee14f11b9495c40c96779752022-12-22T02:54:52ZengFrontiers Media S.A.Frontiers in Neuroscience1662-453X2022-11-011610.3389/fnins.2022.10415481041548A novel nomogram model for clinical outcomes of severe subarachnoid hemorrhage patientsHan-Yu Huang0Han-Yu Huang1Bin Yuan2Bin Yuan3Shu-Juan Chen4Shu-Juan Chen5Yan-ling Han6Xin Zhang7Xin Zhang8Qing Yu9Qi Wu10Department of Neurosurgery, Jinling Hospital, Nanjing Medical University, Nanjing, Jiangsu, ChinaDepartment of Neurosurgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, ChinaDepartment of Neurosurgery, Jinling Hospital, Nanjing Medical University, Nanjing, Jiangsu, ChinaDepartment of Neurosurgery, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, Jiangsu, ChinaDepartment of Neurosurgery, Jinling Hospital, Nanjing Medical University, Nanjing, Jiangsu, ChinaDepartment of Neurosurgery, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, Jiangsu, ChinaDepartment of Neurosurgery, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, Jiangsu, ChinaDepartment of Neurosurgery, Jinling Hospital, Nanjing Medical University, Nanjing, Jiangsu, ChinaDepartment of Neurosurgery, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, Jiangsu, ChinaDepartment of Clinical Laboratory, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, ChinaDepartment of Neurosurgery, Jinling Hospital, School of Medicine, Nanjing University, Nanjing, Jiangsu, ChinaBackgroundSystemic responses, especially inflammatory responses, after aneurysmal subarachnoid hemorrhage (SAH) are closely related to clinical outcomes. Our study aimed to explore the correlation between the systemic responses in the acute stage and the mid-term outcomes of severe SAH patients (Hunt-Hess grade III-V).Materials and methodsSevere SAH patients admitted to Jinling Hospital from January 2015 to December 2019 were retrospectively analyzed in the study. The univariate and multivariate logistic regression analyses were used to explore the risk factors of 6-month clinical outcomes in severe SAH patients. A predictive model was established based on those risk factors and was visualized by a nomogram. Then, the predictive nomogram model was validated in another severe SAH patient cohort from January 2020 to January 2022.ResultsA total of 194 patients were enrolled in this study. 123 (63.4%, 123 of 194) patients achieved good clinical outcomes at the 6-month follow-up. Univariate and multivariate logistic regression analysis revealed that age, Hunt-Hess grade, neutrophil-to-lymphocyte ratio (NLR), and complications not related to operations were independent risk factors for unfavorable outcomes at 6-month follow-up. The areas under the curve (AUC) analysis showed that the predictive model based on the above four variables was significantly better than the Hunt-Hess grade (0.812 vs. 0.685, P = 0.013). In the validation cohort with 44 severe SAH patients from three different clinical centers, the AUC of the prognostic nomogram model was 0.893.ConclusionThe predictive nomogram model could be a reliable predictive tool for the outcome of severe SAH patients. Systemic inflammatory responses after SAH and complications not related to operations, especially hydrocephalus, delayed cerebral ischemia, and pneumonia, might be the important risk factors that lead to poor outcomes in severe SAH patients.https://www.frontiersin.org/articles/10.3389/fnins.2022.1041548/fullaneurysmsubarachnoid hemorrhageprognosisnomograminflammation |
| spellingShingle | Han-Yu Huang Han-Yu Huang Bin Yuan Bin Yuan Shu-Juan Chen Shu-Juan Chen Yan-ling Han Xin Zhang Xin Zhang Qing Yu Qi Wu A novel nomogram model for clinical outcomes of severe subarachnoid hemorrhage patients Frontiers in Neuroscience aneurysm subarachnoid hemorrhage prognosis nomogram inflammation |
| title | A novel nomogram model for clinical outcomes of severe subarachnoid hemorrhage patients |
| title_full | A novel nomogram model for clinical outcomes of severe subarachnoid hemorrhage patients |
| title_fullStr | A novel nomogram model for clinical outcomes of severe subarachnoid hemorrhage patients |
| title_full_unstemmed | A novel nomogram model for clinical outcomes of severe subarachnoid hemorrhage patients |
| title_short | A novel nomogram model for clinical outcomes of severe subarachnoid hemorrhage patients |
| title_sort | novel nomogram model for clinical outcomes of severe subarachnoid hemorrhage patients |
| topic | aneurysm subarachnoid hemorrhage prognosis nomogram inflammation |
| url | https://www.frontiersin.org/articles/10.3389/fnins.2022.1041548/full |
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