Copyright
©The Author(s) 2020.
World J Psychiatr. Oct 19, 2020; 10(10): 234-244
Published online Oct 19, 2020. doi: 10.5498/wjp.v10.i10.234
Published online Oct 19, 2020. doi: 10.5498/wjp.v10.i10.234
Table 1 General characteristics of the subjects with depression, n (%)
| Characteristics | Depression | P value | |
| No (n = 130) | Yes (n = 93) | ||
| Age | 0.918 | ||
| 60-74 yr | 83 (58.0) | 60 (42.0) | |
| ≥ 75 yr | 47 (58.8) | 33 (41.3) | |
| Sex | 0.183 | ||
| Male | 62 (63.3) | 36 (36.7) | |
| Female | 68 (54.4) | 57 (45.6) | |
| Education level | 0.158 | ||
| Middle school graduate and below | 76 (54.7) | 63 (45.3) | |
| High school graduate and above | 54 (64.3) | 30 (35.7) | |
| Handness | 0.905 | ||
| Right | 125 (58.4) | 89 (41.6) | |
| Left | 2 (66.7) | 1 (33.3) | |
| Both hands | 2 (50.0) | 2 (50.0) | |
| Family PD history | 0.921 | ||
| No | 108 (58.7) | 76 (41.3) | |
| Yes | 9 (60.0) | 6 (40.0) | |
| Pack year (smoking) | 0.666 | ||
| 1-20 pack year | 6 (42.9) | 8 (57.1) | |
| 21-40 pack year | 5 (62.5) | 3 (37.5) | |
| 41-60 pack year | 1 (50.0) | 1 (50.0) | |
| 61+ pack year | 118 (59.3) | 81 (40.7) | |
| Traumatic brain injury | 0.852 | ||
| No | 118 (60.8) | 76 (39.2) | |
| Yes | 7 (63.6) | 4 (36.4) | |
| Diabetes | 0.214 | ||
| No | 103 (60.9) | 66 (39.1) | |
| Yes | 25 (51.0) | 24 (49.0) | |
| Hypertension | 0.246 | ||
| No | 71 (55.5) | 57 (44.5) | |
| Yes | 57 (63.3) | 33 (36.7) | |
| Hyperlipidemia | 0.220 | ||
| No | 114 (60.3) | 75 (39.7) | |
| Yes | 14 (48.3) | 15 (51.7) | |
| Tremor | 0.630 | ||
| No | 17 (54.8) | 14 (45.2) | |
| Yes | 107 (59.4) | 73 (40.6) | |
| Rigidity | 0.342 | ||
| No | 8 (72.7) | 3 (27.3) | |
| Yes | 120 (58.3) | 86 (41.7) | |
| Bradykinesia | 0.962 | ||
| No | 7 (58.3) | 5 (41.7) | |
| Yes | 121 (59.0) | 84 (41.0) | |
| Postural instability | 0.187 | ||
| No | 66 (64.1) | 37 (35.9) | |
| Yes | 59 (55.1) | 48 (44.9) | |
| REM and RBD | 0.081 | ||
| No | 58 (63.7) | 33 (36.3) | |
| Yes | 55 (51.4) | 52 (48.6) | |
| Late motor complications | 0.140 | ||
| Only ON-OFF/Wearing OFF | 12 (54.5) | 10 (45.5) | |
| Only levodopa-induced dyskinesia | 2 (22.2) | 7 (77.8) | |
| Both ON-OFF/Wearing OFF and levodopa-induced dyskinesia are present | 13 (59.1) | 9 (40.9) | |
| Both ON-OFF / Wearing OFF and levodopa-induced dyskinesia are absent | 99 (61.1) | 63 (38.9) | |
| K-MMSE, mean ± SD | 24.2 ± 4.6 | 21.5 ± 6.1 | < 0.001 |
| K-MoCA, mean ± SD | 18.2 ± 6.1 | 13.9 ± 6.7 | < 0.001 |
| Global CDR score, mean ± SD | 0.5 ± 0.3 | 0.8 ± 0.7 | < 0.001 |
| Sum of boxes in CDR, mean ± SD | 2.3 ± 3.1 | 3.3 ± 4.0 | 0.041 |
| K-IADL, mean ± SD | 1.3 ± 3.0 | 3.2 ± 5.6 | 0.003 |
| Total score of UPDRS, mean ± SD | 34.5 ± 17.1 | 53.2 ± 26.1 | < 0.001 |
| Motor score of UPDRS, mean ± SD | 22.7 ± 10.9 | 30.0 ± 13.5 | < 0.001 |
| H and Y staging, mean ± SD | 2.2 ± 0.6 | 2.6 ± 0.9 | 0.002 |
| Schwab and England ADL, mean ± SD | 80.1 ± 14.5 | 67.3 ± 21.5 | < 0.001 |
Table 2 Comparing the accuracy of depression in Parkinson's disease prediction model, %
| Type of algorithm | Overall accuracy | Sensitivity | Specificity |
| C-SVM: Linear | 92.5 | 92.0 | 93.3 |
| C-SVM: Polynomial | 70.0 | 100 | 20.0 |
| C-SVM: Gaussian | 87.5 | 96.0 | 73.3 |
| C-SVM: Sigmoid | 85.0 | 88.0 | 80.0 |
| Nu-SVM: Linear | 90.0 | 92.0 | 86.6 |
| Nu-SVM: Polynomial | 92.5 | 92.0 | 93.3 |
| Nu-SVM: Gaussian | 95.0 | 96.0 | 93.3 |
| Nu-SVM: Sigmoid | 82.5 | 92.0 | 66.6 |
Table 3 Functional weight (importance of variables)
| Variables | Functional weight |
| K-MMSE | -1.454 |
| K-MoCA | -4.499 |
| CDR (Global CDR score) | 2.643 |
| CDR (sum of boxes) | 2.607 |
| K-IADL | 4.919 |
| Total UPDRS | 5.302 |
| Motor UPDRS | 0.978 |
| H and Y staging | -2.190 |
| Schwab and England ADL | -5.055 |
| Age (60-74) | -3.638 |
| Age (75+) | 3.638 |
| Gender (female) | 0.345 |
| Education (high school graduate and above) | 1.150 |
| Family PD history (yes) | 0.232 |
| Pack year (21-40) | 0.032 |
| Pack year (41-60) | 0.000 |
| Pack year (61+) | -1.032 |
| Coffee (yes) | 1.006 |
| Pesticide exposure (currently not exposed but exposed previously) | -1.000 |
| Pesticide exposure (currently exposed to pesticide) | 2.264 |
| Tremor (yes) | 0.000 |
| Rigidity (yes) | -1.000 |
| Bradykinesia (yes) | 0.675 |
| Postural instability (yes) | 1.117 |
| LMC (levodopa-induced dyskinesia) | 3.000 |
| LMC (Both Wearing OFF and levodopa-induced dyskinesia are present) | 0.264 |
| LMC (Both Wearing OFF and levodopa-induced dyskinesia are absent) | -4.715 |
| REM sleep behavior disorders | 1.261 |
| Number of support vectors: 34 | |
- Citation: Byeon H. Development of a depression in Parkinson's disease prediction model using machine learning. World J Psychiatr 2020; 10(10): 234-244
- URL: https://www.wjgnet.com/2220-3206/full/v10/i10/234.htm
- DOI: https://dx.doi.org/10.5498/wjp.v10.i10.234
