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Development and validation of an early predictive nomogram for delayed cerebral ischemia after aneurysmal subarachnoid hemorrhage.
Zhao, Long; Chen, Tao; Yan, Hao-Ji; Liu, Chang; Cao, Yi; Zhang, Yi; Lin, Ping; Tang, Xiao-Ping; Zhou, Liang-Xue.
Afiliación
  • Zhao L; Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China.
  • Chen T; Department of Neurosurgery, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
  • Yan HJ; Neurosurgery Research Center, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
  • Liu C; Department of Neurosurgery, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
  • Cao Y; Department of Neurosurgery, Guangyuan Central Hospital, Guangyuan, China.
  • Zhang Y; College of Medical Imaging, North Sichuan Medical College, Nanchong, China.
  • Lin P; Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China.
  • Tang XP; Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China.
  • Zhou LX; College of Clinical Medicine, North Sichuan Medical College, Nanchong, China.
Ann Transl Med ; 9(22): 1664, 2021 Nov.
Article en En | MEDLINE | ID: mdl-34988173
ABSTRACT

BACKGROUND:

Previous studies have shown that platelet is involved in the occurrence and progression of delayed cerebral ischemia (DCI) after aneurysmal subarachnoid hemorrhage (aSAH), but the relationship between platelet and DCI is not completely clear. Here, we aimed to screen the early platelet parameters associated with DCI after aSAH and develop an early predictive nomogram for DCI after aSAH.

METHODS:

The study was carried out in the neurosurgery department of Affiliated Hospital of North Sichuan Medical College. A total of 285 consecutive aSAH patients admitted within 24 hours after onset were analyzed retrospectively. Univariate and multivariate analyses were used to identify risk factors for DCI. A predictive nomogram was developed and validated with R software.

RESULTS:

Sixty-six (23.16%) of the 285 patients with aSAH exhibited DCI during hospitalization. The DCI group and the non-DCI group showed statistically significant differences in red blood cell count (RBC), platelet count (PLT), mean platelet volume (MPV), modified Fisher grade and platelet distribution width (PDW). Multivariable logistic regression analysis showed that modified Fisher grade [odds ratio (OR) =1.354; 95% confidence interval (CI) 1.034-1.773; P=0.028] and mean MPV [OR =1.825; 95% CI 1.429-2.331; P<0.001] were independent risk factors for DCI. Modified Fisher grade, RBC, PLT, MPV, and PDW were used to develop a predictive nomogram for DCI. The area under the receiver operating characteristic (ROC) curve (AUC) was 0.799 (95% CI 0.737-0.861) in the training set and 0.783 (95% CI 0.616-0.949) in the validation set. The calibration curve showed that the predicted probability concurred with the actual probability. Decision curve analysis indicated that this nomogram had good clinical application value and could be used for clinical decision making.

CONCLUSIONS:

Our study found that MPV was an early predictor of DCI after aSAH. The nomogram incorporating early MPV had greater value in predicting DCI after aSAH.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ann Transl Med Año: 2021 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Ann Transl Med Año: 2021 Tipo del documento: Article País de afiliación: China