Observational Study
Copyright ©The Author(s) 2016.
World J Orthop. Oct 18, 2016; 7(10): 678-686
Published online Oct 18, 2016. doi: 10.5312/wjo.v7.i10.678
Table 1 Baseline characteristics, grouped by time of week admitted
Explanatory variableClassificationTime of week
WeekdayWeekend
Age, yr mean (SD)46.4-100.9 (P = 0.779)283.1 (8.4)82.6 (9.3)
GenderMale16965
Female412170
(Female %) (P = 0.733)1(70.90%)(72.30%)
ASA grade median (IQR)1-5 (P = 0.282)23 (1)3 (1)
AMTS median (IQR)0-10 (P = 0.924)28 (5)8 (5)
Fracture typeIntertrochanteric21792
Intracapsular - displaced28799
Intracapsular - undisplaced4831
Subtrochanteric2913
(% Intracapsular-displaced) (P = 0.097)1(49.40%)(42.10%)
Admitted fromOwn home417191
Other11044
(% Own home) (P = 1.00)1(81.10%)(81.30%)
Ability to walk outdoorsWheelchair/bedbound/electric buggy17365
Never goes outdoors
Two aids5420
One aids15460
No aids20090
(% Wheelchair, etc.) (P = 0.780)1(29.80%)(27.70%)
Accompaniment outdoorsWheelchair/bedbound/electric buggy8831
Never goes outdoors
Yes19386
No300118
(% Wheelchair, etc.) (P = 0.604)1(15.10%)(13.20%)
SeasonSpring13361
Summer18354
Autumn16073
Winter10547
(% Winter) (P = 0.108)1(18.10%)(20.00%)
Time of weekWeekday5810
Weekend0235
Table 2 Time-to-surgery and mortality and of patients admitted with hip fracture, grouped and compared by time of week
Outcome variableClassificationTime of week
WeekdayWeekend
Time to surgery< 36 h334138
(n = 796)> 36 h23391
(%< 36 h) P > 0.05(58.90%)(60.30%)
30-d mortalityNo548224
(n = 816)Yes3311
(%Yes) P > 0.05(5.70%)(4.70%)
120-d mortalityNo497207
(n = 816)Yes8428
(%Yes) P > 0.05(14.50%)(13.50%)
Table 3 Estimated model coefficients for the multivariate logistic regression model - time to surgery
Outcome 1Time to surgery (< 36 h)n = 796
VariableLevelOR95%CIP-value
ASA grade1-50.680.54, 0.850.001
SeasonWinter (reference)0.014
Spring1.891.21, 2.940.005
Summer1.71.11, 2.610.014
Autumn1.91.23, 2.920.004
Time of weekWeekday (reference)
Weekend1.010.73, 1.390.975
Table 4 Estimated model coefficients for the multivariate logistic regression model - mortality
Outcome 2 30-d mortalityn = 816
Outcome 3 120-d mortalityn = 816
VariableOR95%CIP-valueOR95%CIP-value
GenderFemale (reference)Female (reference)
Male2.121.09, 4.150.028Male1.861.15, 2.990.011
ASA grade1-52.681.55, 4.62< 0.0011-52.031.39, 2.95< 0.001
AMTS0-100.90.81, 1.000.0410-100.890.83, 0.950.001
Age (yr)46-1011.061.03, 1.10< 0.001
AccompaniedNo (reference)0.033No (reference)0.033
outdoorsYes4.221.32, 13.470.015Yes1.290.70, 2.360.423
Wheelchair/bedbound/electric buggy/does not go out5.141.46, 18.090.011Wheelchair/bedbound/electric buggy/does not go out2.221.12, 4.380.022
Time of weekWeekday (reference)Weekday (reference)
Weekend0.930.44, 1.940.842weekend0.820.50, 1.340.425