Copyright
©The Author(s) 2023.
World J Orthop. Oct 18, 2023; 14(10): 741-754
Published online Oct 18, 2023. doi: 10.5312/wjo.v14.i10.741
Published online Oct 18, 2023. doi: 10.5312/wjo.v14.i10.741
Features | Non-eLOS (n = 383) | eLOS (n = 380) | Statistic (t/χ2 ) | P value |
Sex | 5.418 | 0.020 | ||
Male | 107 (27.9) | 136 (35.8) | ||
Female | 276 (72.1) | 244 (64.2) | ||
Age (yr) | 0.096 | 0.757 | ||
60-85 | 255 (66.6) | 257 (67.6) | ||
> 85 | 128 (33.4) | 123 (32.4) | ||
BMI (kg/m2) | 2.578 | 0.461 | ||
< 18.5 | 48 (12.5) | 44 (11.6) | ||
18.5-24.9 | 220 (57.4) | 239 (62.9) | ||
25.0-29.9 | 99 (25.8) | 82 (21.6) | ||
> 30.0 | 16 (4.2) | 15 (3.9) | ||
Fracture type | 20.516 | P < 0.001 | ||
Femoral neck fracture | 165 (43.1) | 226 (59.5) | ||
Intertrochanteric fracture | 218 (56.9) | 154 (40.5) | ||
ASA classification | 20.313 | P < 0.001 | ||
I-II | 197 (51.4) | 134 (35.3) | ||
III-IV | 186 (48.6) | 246 (64.7) | ||
Admission time | 5.340 | 0.021 | ||
Monday to Thursday | 248 (64.8) | 215 (56.6) | ||
Friday to Sunday | 135 (35.2) | 165 (43.2) | ||
Time from injury to admission | 5.513 | 0.019 | ||
≤ 24 h | 322 (84.1) | 294 (77.4) | ||
> 24 h | 61 (15.9) | 86 (22.6) | ||
Comorbidities | 3.99 2.22 | 4.19 2.25 | 1.221 | 0.223 |
Hypertension | 207 (54.0) | 245 (64.5) | 8.588 | 0.003 |
Diabetes | 85 (22.2) | 112 (29.5) | 5.279 | 0.022 |
ACS | 59 (15.4) | 66 (17.4) | 0.537 | 0.464 |
Cerebral infarction | 120 (31.3) | 150 (39.5) | 5.531 | 0.019 |
AKI | 8 (2.1) | 17 (4.5) | 3.423 | 0.064 |
DVT | 66 (17.2) | 91 (23.9) | 5.263 | 0.022 |
History of smoking | 14 (3.4) | 17 (4.5) | 0.328 | 0.567 |
Oral anticoagulant use | 71 (18.5) | 71 (18.7) | 0.003 | 0.959 |
History of fracture | 77 (20.1) | 83 (21.8) | 0.348 | 0.556 |
Hip fracture | 21 (5.5) | 29 (7.6) | 1.438 | 0.230 |
Lumbar fracture | 25 (6.5) | 24 (6.3) | 0.014 | 0.905 |
Delayed surgery | 153 (39.9) | 267 (70.3) | 70.842 | P < 0.001 |
Type of surgery | ||||
THA | 52 (13.6) | 95 (25.0) | 16.002 | P < 0.001 |
HHA | 106 (27.7) | 127 (33.4) | 2.968 | 0.085 |
Reduction and fixation | 225 (58.7) | 158 (41.6) | 22.488 | P < 0.001 |
Duration of surgery | 96.62 ± 27.83 | 118.43 ± 24.32 | 1.743 | 0.082 |
Intraoperative blood loss | 164.54 ± 85.26 | 162.33 ± 104.20 | -0.321 | 0.748 |
Blood transfusion | 127 (33.2) | 132 (34.7) | 0.212 | 0.645 |
ICU transfer | 103 (26.9) | 111 (29.2) | 0.508 | 0.476 |
Type of anaesthesia | 0.769 | 0.380 | ||
General | 336 (87.7) | 341 (89.7) | ||
Regional | 47 (12.3) | 39 (10.3) | ||
Heart rate at admission (60-100) | 339 (88.5) | 331 (87.1) | 0.353 | 0.553 |
Laboratory examination at admission | ||||
RBC (≥ 4.3) | 86 (22.5) | 87 (22.9) | 0.021 | 0.884 |
WBC (3.5-9.5) | 208 (54.3) | 217 (57.1) | 0.605 | 0.437 |
Hb (≥ 110) | 251 (65.5) | 268 (70.5) | 2.184 | 0.139 |
PLT (125-350) | 321 (83.8) | 306 (80.5) | 1.406 | 0.236 |
N (40-75) | 65 (17.0) | 81 (21.3) | 2.327 | 0.127 |
HCT (≥ 40) | 82 (21.4) | 65 (17.1) | 2.272 | 0.132 |
K (3.5-5.1) | 260 (67.9) | 265 (69.7) | 0.305 | 0.581 |
Ca (≥ 2.1) | 257 (67.1) | 260 (68.4) | 0.152 | 0.697 |
Na (137-145) | 248 (64.8) | 229 (60.3) | 1.640 | 0.200 |
ALB (30-40) | 233 (60.8) | 243 (63.9) | 0.787 | 0.375 |
ALT (9-50) | 347 (90.5) | 342 (90.0) | 0.079 | 0.779 |
AST (15-40) | 338 (88.3) | 316 (83.2) | 4.040 | 0.044 |
LDH (120-246) | 188 (49.1) | 179 (47.1) | 3.000 | 0.584 |
BUN (3.6-9.5) | 304 (79.4) | 302 (79.5) | 0.001 | 0.973 |
Cr (58-110) | 205 (53.5) | 221 (58.2) | 1.660 | 0.198 |
PT (9.4-12.5) | 77 (20.1) | 93 (24.5) | 2.103 | 0.147 |
APTT (25.1-36.5) | 326 (85.1) | 331 (87.1) | 0.630 | 0.427 |
INR (0.8-1.2) | 311 (81.2) | 304 (80.0) | 0.176 | 0.675 |
FIB (2.38-4.98) | 344 (89.8) | 344 (90.5) | 0.108 | 0.742 |
D-dimer (≤ 6500) | 218 (56.9) | 165 (43.4) | 13.902 | P < 0.001 |
Cardiac colour ultrasound at admission | ||||
AV (≥ 1.0) | 367 (95.8) | 347 (91.3) | 6.446 | 0.011 |
EF (≥ 70) | 208 (54.3) | 217 (57.1) | 0.605 | 0.437 |
Laboratory examination after surgery | ||||
Hb (≥ 110) | 87 (22.7) | 92 (24.2) | 0.237 | 0.626 |
ALB (30-40) | 310 (80.9) | 303 (79.7) | 0.175 | 0.676 |
Cr (58-110) | 222 (58.0) | 232 (61.1) | 0.755 | 0.385 |
- Citation: Tian CW, Chen XX, Shi L, Zhu HY, Dai GC, Chen H, Rui YF. Machine learning applications for the prediction of extended length of stay in geriatric hip fracture patients. World J Orthop 2023; 14(10): 741-754
- URL: https://www.wjgnet.com/2218-5836/full/v14/i10/741.htm
- DOI: https://dx.doi.org/10.5312/wjo.v14.i10.741