A Prediction Modeling Based on the Hospital for Special Surgery (HSS) Knee Score for Poor Postoperative Functional Prognosis of Elderly Patients with Patellar Fractures
Table 1
Demographic data of the good and bad functional prognosis groups.
Total ()
Good functional prognosis ()
Bad functional prognosis ()
value
Gender
Male
63 (37.5%)
46 (37.7%)
17 (37.0%)
Female
105 (62.5%)
76 (62.3%)
29 (63.0%)
0.929
Age (year)
<0.001
≥60 and <70
129 (76.8%)
104 (85.2%)
25 (54.3%)
≥70
39 (23.2%)
18 (14.8%)
21 (45.7%)
<0.001
Diabetes
Yes
37 (22.0%)
27 (22.1%)
10 (21.7%)
No
131 (78.0%)
95 (77.9%)
36 (78.3%)
0.956
Hypertensive disease
Yes
50 (29.8%)
31 (25.4%)
19 (41.3%)
No
118 (70.2%)
91 (74.6%)
27 (58.7%)
0.069
Cardiac disease
Yes
44 (26.2%)
26 (21.3%)
18 (39.1%)
No
124 (73.8%)
96 (78.7%)
28 (60.9%)
0.019
Hyperlipidemia
Yes
48 (28.6%)
39 (32.0%)
9 (19.6%)
No
120 (71.4%)
83 (68.0%)
37 (80.4%)
0.113
Sarcopenia
Yes
43 (25.6%)
15 (12.3%)
28 (60.9%)
No
125 (74.4%)
107 (87.7%)
18 (39.1%)
<0.001
Time to surgery (day)
0.560
BMI (kg/m2)
0.004
Albumin (g/L)
<0.001
Hemoglobin (g/L)
0.028
tmCSA/BW (cm2/kg)
0.018
Grip strength (kg)
<0.001
Affected side
Right
59 (35.1%)
39 (32.0%)
20 (43.5%)
Left
109 (64.9%)
83 (68.0%)
26 (56.5%)
0.163
Fracture type
A
29 (17.3%)
21 (17.2%)
8 (17.4%)
B
24 (14.2%)
14 (11.5%)
10 (21.7%)
C
115 (68.5%)
87 (71.3%)
28 (60.9%)
0.224
The fractures are classified using the radiological assessment method of the AO classification system. Statistically significant difference ().
