| Literature DB >> 35812389 |
Hanyu Luo1, Yuhang Li1, Yaxin Zheng1, Lvli Zhou1, Jiaxin Yang1, Zhixu Fang1, Yan Jiang1, Juan Wang1, Zhengxiong Yao1, Min Chen1, Li Jiang1.
Abstract
Objective: to assess the performance of the Anti-N-Methyl-D-Aspartate Receptor encephalitis (NMDAR) One-Year Functional Status (NEOS) score in predicting one-year functional outcome in Chinese children with anti-NMDAR encephalitis.Entities:
Keywords: anti-NMDAR encephalitis; children; functional status; outcome; prediction
Mesh:
Substances:
Year: 2022 PMID: 35812389 PMCID: PMC9259792 DOI: 10.3389/fimmu.2022.889394
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 8.786
The anti-N-Methyl-D-Aspartate Receptor (NMDAR) Encephalitis One-Year Functional Status (NEOS) score.
| Variables | Score |
|---|---|
| ICU admission required | 1 |
| No clinical improvement after 4 weeks of treatment | 1 |
| No treatment within 4 weeks of symptom onset | 1 |
| Abnormal MRI | 1 |
| CSF WBC count > 20 cells/μL | 1 |
Clinical characteristics of children with anti-NMDAR encephalitis.
| Variables | All (n = 175) | Good functional status (n = 149) | Poor functional status (n =26) | P |
|---|---|---|---|---|
| Median age (years, IQR) | 7.7 (4.7-10.7) | 7.9 (5.4-10.9) | 4.9 (1.9-9.8) | 0.004 |
| Sex (female, %) | 101 (57.7) | 83 (55.7) | 18 (69.2) | 0.198 |
| Abnormal or psychiatric behavior (%) | 151 (86.3) | 135 (90.6) | 16 (61.5) | <0.001 |
| Speech dysfunction (%) | 96 (54.9) | 83 (55.7) | 13 (50.0) | 0.590 |
| Seizures (%) | 111 (63.4) | 94 (63.1) | 17 (65.4) | 0.882 |
| Movement disorder (%) | 141 (80.6) | 117 (78.5) | 24 (92.3) | 0.101 |
| Decreased level of consciousness (%) | 45 (25.7) | 29 (19.5) | 16 (61.5) | <0.001 |
| Autonomic dysfunction (%) | 22 (12.6) | 19 (12.8) | 3 (11.5) | >0.999 |
| Sleep disorders (%) | 98 (56.0) | 89 (59.7) | 9 (34.6) | 0.017 |
| Central hypoventilation (%) | 10 (5.7) | 5 (3.4) | 5 (19.2) | 0.007 |
| ICU admission required (%) | 11 (6.3) | 6 (4.0) | 5 (19.2) | 0.012 |
| Serum anti-NMDAR antibodies | 141 (80.6) | 123 (82.6) | 18 (69.2) | 0.113 |
| Abnormal EEG (%) | 157 (89.7) | 131 (87.9) | 26 (100) | 0.079 |
| Abnormal MRI (%) | 82 (46.9) | 62 (41.6) | 20 (76.9) | 0.001 |
| CSF protein (mg/dL, IQR) | 26 (17-36) | 23 (15-33) | 35 (24-57) | 0.002 |
| Increased CSF protein* (%) | 28 (16.0) | 19(12.8) | 9(34.6) | 0.009 |
| CSF WBC count > 20 cells/μL | 57 (32.6) | 49 (32.9) | 8 (30.8) | 0.832 |
| No treatment within 4 weeks of symptom onset (%) | 26 (14.9) | 19 (12.8) | 7 (26.9) | 0.074 |
| Treated with second-line immunotherapy (%) | 16 (9.1) | 14 (9.7) | 2 (7.7) | >0.999 |
| No clinical improvement after 4 weeks of treatment (%) | 64 (36.6) | 41 (27.5) | 23 (88.5) | <0.001 |
*CSF protein levels > 45 mg/dL.
Figure 1Distribution of the mRS (A) and PCPC scale (B) across the NEOS score.
Risks for poor functional outcome in patients with different NEOS scores.
| NEOS score | Good functional status | Poor functional status | OR (95% confidence interval) | P |
|---|---|---|---|---|
| 0-1 | 100 (99.0%) | 1 (1.0%) | reference | – |
| 2 | 34 (70.8%) | 14 (29.2%) | 41.176 (5.218-324.926) | < 0.001 |
| 3 | 13 (59.1%) | 9 (40.9%) | 69.231 (8.102-591.534) | < 0.001 |
| 4-5 | 2 (50.0%) | 2 (50.0%) | 100.000 (6.212-1609.854) | 0.003 |
Figure 2Receiver operating characteristic curve for the prediction of the one-year outcome using the NEOS score. The area under the curve is 0.870 (95% CI: 0.801-0.938, P < 0.001).
Figure 3The results of the Hosmer-Lemeshow test. Patients were grouped based on the fitting probabilities (x axis). The blue column represents observed events (poor outcome at one year), and the red column represents predicted events of the NEOS score. There were no significant differences between observed and expected events (P = 0.912).
Figure 4Calibration curve of the NEOS score. The black line represents the ideal situation, where the predicted probabilities are exactly equal to the observed probabilities. The red line represents the original calibration curve of the NEOS score. The blue line represents the bias-corrected curve by R software. Both curves show good consistency with the ideal situation (black line).
Figure 5Decision curve analysis of the NEOS score. The horizontal black line (labeled “none”): no intervention for all patients, which indicates no net benefits. The slanted grey line (labeled “All”): all patients accept the intervention. The blue line shows that, compared to intervening with either no or all patients, a greater net benefit was achieved by using the NEOS score to predict the one-year outcome when the threshold probability was 1%-74%.