Development of a short-term prognostic model for anti-N-methyl-D-aspartate receptor encephalitis in Chinese patients.


Journal

BMC neurology
ISSN: 1471-2377
Titre abrégé: BMC Neurol
Pays: England
ID NLM: 100968555

Informations de publication

Date de publication:
09 Aug 2024
Historique:
received: 01 11 2023
accepted: 12 06 2024
medline: 10 8 2024
pubmed: 10 8 2024
entrez: 9 8 2024
Statut: epublish

Résumé

Recognizing the predictors of poor short-term prognosis after first-line immunotherapy in patients with anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis is essential for individualized treatment strategy. The objective of this study was to ascertain the factors that forecast short-term prognosis in patients with anti-NMDAR encephalitis, develop a prognostic prediction model, and authenticate its efficacy in an external validation cohort. Further, all patients were followed-up long-term to assess the factors of long-term outcome and relapses. A prospective enrollment of patients diagnosed with anti-NMDAR encephalitis was conducted across five clinical centers in China from June 2014 to Mar 2022. The enrolled patients were divided into the derivation and validation sets based on enrollment time. The short-term prognostic model was visualized using a nomogram. Further, all patients were followed-up long-term to assess the factors of long-term outcome. This study found that poor short-term prognosis was a risk factor for poor long-term outcome (6-month prognosis, OR 29.792, 95%CI 6.507-136.398, p < 0.001; 12-month prognosis, OR 15.756, 95%CI 3.384-73.075, p < 0.001; 24-month prognosis, OR 5.500, 95%CI 1.045-28.955, p = 0.044). Abnormal behavior or cognitive dysfunction (OR 8.57, 95%CI 1.48-49.79, p = 0.017), consciousness impairment (OR19.32, 95%CI 3.03-123.09, p = 0.002), autonomic dysfunction or central hypoventilation (OR 5.66, 95%CI 1.25-25.75, p = 0.025), CSF pleocytosis (OR 4.33, 95%CI 1.48-12.65, p = 0.007), abnormal EEG (OR 5.48, 95% CI 1.09-27.54, p = 0.039) were independent predictors for a poor short-term prognosis after first-line immunotherapy. A nomogram that incorporated those factors showed good discrimination and calibration abilities. The area under the curve (AUC) for the prognostic model were 0.866 (95%CI: 0.798-0.934) with a sensitivity of 0.761 and specificity of 0.869. We established and validated a prognostic model that can provide individual prediction of short-term prognosis after first-line immunotherapy for patients with anti-NMDAR encephalitis. This practical prognostic model may help neurologists to predict the short-term prognosis early and potentially assist in adjusting appropriate treatment timely.

Sections du résumé

BACKGROUND BACKGROUND
Recognizing the predictors of poor short-term prognosis after first-line immunotherapy in patients with anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis is essential for individualized treatment strategy. The objective of this study was to ascertain the factors that forecast short-term prognosis in patients with anti-NMDAR encephalitis, develop a prognostic prediction model, and authenticate its efficacy in an external validation cohort. Further, all patients were followed-up long-term to assess the factors of long-term outcome and relapses.
METHODS METHODS
A prospective enrollment of patients diagnosed with anti-NMDAR encephalitis was conducted across five clinical centers in China from June 2014 to Mar 2022. The enrolled patients were divided into the derivation and validation sets based on enrollment time. The short-term prognostic model was visualized using a nomogram. Further, all patients were followed-up long-term to assess the factors of long-term outcome.
RESULTS RESULTS
This study found that poor short-term prognosis was a risk factor for poor long-term outcome (6-month prognosis, OR 29.792, 95%CI 6.507-136.398, p < 0.001; 12-month prognosis, OR 15.756, 95%CI 3.384-73.075, p < 0.001; 24-month prognosis, OR 5.500, 95%CI 1.045-28.955, p = 0.044). Abnormal behavior or cognitive dysfunction (OR 8.57, 95%CI 1.48-49.79, p = 0.017), consciousness impairment (OR19.32, 95%CI 3.03-123.09, p = 0.002), autonomic dysfunction or central hypoventilation (OR 5.66, 95%CI 1.25-25.75, p = 0.025), CSF pleocytosis (OR 4.33, 95%CI 1.48-12.65, p = 0.007), abnormal EEG (OR 5.48, 95% CI 1.09-27.54, p = 0.039) were independent predictors for a poor short-term prognosis after first-line immunotherapy. A nomogram that incorporated those factors showed good discrimination and calibration abilities. The area under the curve (AUC) for the prognostic model were 0.866 (95%CI: 0.798-0.934) with a sensitivity of 0.761 and specificity of 0.869.
CONCLUSION CONCLUSIONS
We established and validated a prognostic model that can provide individual prediction of short-term prognosis after first-line immunotherapy for patients with anti-NMDAR encephalitis. This practical prognostic model may help neurologists to predict the short-term prognosis early and potentially assist in adjusting appropriate treatment timely.

Identifiants

pubmed: 39123191
doi: 10.1186/s12883-024-03724-x
pii: 10.1186/s12883-024-03724-x
doi:

Types de publication

Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

276

Subventions

Organisme : National Natural Science Foundation of China
ID : 82171349
Organisme : National Natural Science Foundation of China
ID : 82271384
Organisme : Capital Health Research and Development of Special Fund
ID : 2020-2-2056
Organisme : Key Projects of Medical Development in Capital
ID : 2014-1-1101

Informations de copyright

© 2024. The Author(s).

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Auteurs

Jingxiao Zhang (J)

Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Yatong Li (Y)

Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Lei Liu (L)

Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Feifei Dai (F)

Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Yujing Peng (Y)

Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Qiuying Ma (Q)

Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Lin Li (L)

Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Yu Hong (Y)

Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Aihua Liu (A)

Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.

Xinghu Zhang (X)

Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.

Xiaohui Wang (X)

Beijing Children Hospital, Capital Medical University, Beijing, China.

Junying He (J)

Department of Neurology, the Second Hospital of Hebei Medical University, Shijiazhuang, China.

Hui Bu (H)

Department of Neurology, the Second Hospital of Hebei Medical University, Shijiazhuang, China.

Yanjun Guo (Y)

Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Hanqiu Jiang (H)

Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Shilei Cui (S)

Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Houliang Sun (H)

Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.

Jiawei Wang (J)

Department of Neurology, Beijing Tongren Hospital, Capital Medical University, Beijing, China. wangjwcq@163.com.

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