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The frequency of imaging markers adjusted for time since symptom onset in intracerebral hemorrhage: A novel predictor for hematoma expansion.
Song, Lei; Cheng, Jun; Zhang, Cun; Zhou, Hang; Guo, Wenmin; Ye, Yu; Wang, Rujia; Xiong, Hui; Zhang, Ji; Ke, Ren; Tang, Dongfang; Fu, Yufei; He, Zhibing; Zou, Liwei; Wang, Longsheng; Kuang, Lianghong; Qiu, Xiaoming; Guo, Tingting; Yu, Yongqiang.
Afiliación
  • Song L; Department of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, China.
  • Cheng J; Computer School, Hubei Polytechnic University, Huangshi, China.
  • Zhang C; Department of Radiology, The First Affiliated Hospital of University of Science and Technology of China, Hefei, China.
  • Zhou H; Department of Radiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China.
  • Guo W; Department of Radiology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
  • Ye Y; Department of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, China.
  • Wang R; Department of Radiology, Tangshan Gongren Hospital, Tangshan, China.
  • Xiong H; Department of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, China.
  • Zhang J; Department of Clinical Laboratory, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China.
  • Ke R; Department of Radiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China.
  • Tang D; Department of Neurosurgery, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China.
  • Fu Y; Department of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, China.
  • He Z; Department of Radiology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, China.
  • Zou L; Department of Radiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Wang L; Department of Radiology, The Second Affiliated Hospital of Anhui Medical University, Hefei, China.
  • Kuang L; Department of Neurology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, China.
  • Qiu X; Department of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, China.
  • Guo T; Department of Nuclear Medicine, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Huangshi, China.
  • Yu Y; Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
Int J Stroke ; 19(2): 226-234, 2024 Feb.
Article en En | MEDLINE | ID: mdl-37740692
ABSTRACT

BACKGROUND:

Hematoma expansion (HE) is common in patients with intracerebral hemorrhage (ICH) and associated with a worse outcome. Imaging makers and shorter time from symptom onset are both associated with HE, but prognostic scores based on these parameters individually have not been satisfactory. We hypothesized that a score including both imaging markers of expansion, and time of onset, would improve prediction.

METHODS:

Patients with supratentorial ICH within 6 h after onset were consecutively recruited from six centers between January 2018 and August 2022. Three markers were used hypodensities, the blend sign, and the island sign. We first defined frequency of imaging markers (FIM) as the relationship between the number of imaging markers and onset-to-CT time (OCT). The time-adjusted FIM was defined as the ratio of the number of imaging markers to the onset-to-initial imaging time. Multivariate analysis was performed to determine the relationship between FIM and HE. Receiver operating curve analysis was used to identify potential threshold values of FIM that optimally predict HE. In addition, the sensitivity, specificity, positive and negative predictive values (PPVs and NPVs), and the area under the curve (AUC) of the optimal cut-off in predicting HE were calculated.

RESULTS:

In total, 1488 patients were eligible for inclusion, of whom 418 had incident HE. Multivariate analysis showed that age, male sex, baseline Glasgow Coma Scale score, presence of intraventricular hemorrhage, and FIM were independent predictors of HE (odds ratio (OR) = 0.98, 95% confidence interval (CI) = 0.97-0.99; OR = 1.73, 95% CI = 1.28-2.35; OR = 0.87, 95% CI = 0.83-0.92; OR = 0.42, 95% CI = 0.28-0.62; OR = 7.82, 95% CI = 5.86-10.42, respectively). The optimal cut-off point for FIM in predicting HE was 0.63, with sensitivity, specificity, PPV, NPV, and AUC values of 0.69, 0.89, 0.71, 0.88, and 0.83, respectively.

CONCLUSION:

The FIM adjusted for time since symptom onset is a significant predictor of HE. Its use may allow improved prediction of those patients with ICH who develop HE, and the score may be clinically applicable in the management of patients with ICH.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Accidente Cerebrovascular Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Revista: Int J Stroke Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Accidente Cerebrovascular Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Revista: Int J Stroke Año: 2024 Tipo del documento: Article País de afiliación: China
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