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A comprehensive prediction model predicts perihematomal edema growth in the acute stage after intracerebral hemorrhage.
Zhang, Shu-Qiang; Zhang, Yan-Ling; Yuan, Liang; Ma, Yong-Bo; Huang, Jun-Meng; Wen, Yi-Qian; Zhu, Ming-Hong; Yang, Wen-Song.
Afiliación
  • Zhang SQ; Department of Radiology, Chongqing University FuLing Hospital, Chongqing 408000, China; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
  • Zhang YL; Department of Radiology, Chongqing University FuLing Hospital, Chongqing 408000, China.
  • Yuan L; Department of Radiology, University-Town Hospital of Chongqing Medical University, Chongqing 401331, China.
  • Ma YB; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
  • Huang JM; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China.
  • Wen YQ; Department of Radiology, University-Town Hospital of Chongqing Medical University, Chongqing 401331, China.
  • Zhu MH; Department of Radiology, Chongqing University FuLing Hospital, Chongqing 408000, China. Electronic address: 444394184@qq.com.
  • Yang WS; Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, China. Electronic address: 1479498177@qq.com.
Clin Neurol Neurosurg ; 245: 108495, 2024 Oct.
Article en En | MEDLINE | ID: mdl-39126898
ABSTRACT

BACKGROUND:

Perihematomal edema (PHE) is regarded as a potential intervention indicator of secondary injury following intracerebral hemorrhage (ICH). But it still lacks a comprehensive prediction model for early PHE formation.

METHODS:

The included ICH patients have received an initial Computed Tomography scan within 6 hours of symptom onset. Hematoma volume and PHE volume were computed using semiautomated computer-assisted software. The volume of the hematoma, edema around the hematoma, and surface area of the hematoma were calculated. The platelet-to-lymphocyte ratio (PLR) was calculated by dividing the platelet count by the lymphocyte cell count. All analyses were 2-tailed, and the significance level was determined by P <0.05.

RESULTS:

A total of 226 patients were included in the final analysis. The optimal cut-off values for PHE volume increase to predict poor outcomes were determined as 5.5 mL. For clinical applicability, we identified a value of 5.5 mL as the optimal threshold for early PHE growth. In the multivariate logistic regression analyses, we finally found that baseline hematoma surface area (p < 0.001), expansion-prone hematoma (p < 0.001), and PLR (p = 0.033) could independently predict PHE growth. The comprehensive prediction model demonstrated good performance in predicting PHE growth, with an area under the curve of 0.841, sensitivity of 0.807, and specificity of 0.732.

CONCLUSION:

In this study, we found that baseline hematoma surface area, expansion-prone hematoma, and PLR were independently associated with PHE growth. Additionally, a risk nomogram model was established to predict the PHE growth in patients with ICH.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Edema Encefálico / Hemorragia Cerebral / Hematoma Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Neurol Neurosurg Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
Imprimir
XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Edema Encefálico / Hemorragia Cerebral / Hematoma Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Clin Neurol Neurosurg Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos