The Baseline characteristics of participants
Finally, a total of 2,622 patients underwent TKA. 153 patients (5.8%) had perioperative blood transfusion, and 2,469 patients (94.2%) had no perioperative blood transfusion (Table 1). Compared with the age of patients who had no perioperative blood transfusion (66.066±8.094), the age of patients who had perioperative blood transfusion was larger (69.373±9.642), and the difference was statistically significant (p<0.001) (Table 1). There was no significant difference (P > 0.05) (Table 1) between the two groups in gender, race, smoking status, DM, DM on insulin, IHD, CVA, operation date, while there was significant difference (P < 0.05) (Table 1) in BMI, preoperative Hb level, ASA status, OSA, CHF, Cr in the past 60 days> 2mg/dl (177 umol/L), operation mode, operation duration and anesthesia method.
Table 1 Baseline characteristics of selected participants
Whether blood transfusion in the perioperation?
|
No
(2469)
|
Yes
(153)
|
P-value
|
P-value*
|
Gender
|
|
|
0.437
|
-
|
Male
|
601 (24.342%)
|
33 (21.569%)
|
|
|
Female
|
1868 (75.658%)
|
120 (78.431%)
|
|
|
Age(Years)
|
66.066 ± 8.094
|
69.373 ± 9.642
|
<0.001
|
<0.001
|
Race
|
|
|
0.364
|
-
|
Chinese
|
2079 (84.204%)
|
127 (83.007%)
|
|
|
Indian
|
141 (5.711%)
|
9 (5.882%)
|
|
|
Malay
|
179 (7.250%)
|
9 (5.882%)
|
|
|
Others
|
70 (2.835%)
|
8 (5.229%)
|
|
|
BMI
|
27.886 ± 5.587
|
26.592 ± 4.956
|
0.005
|
<0.001
|
Hb(g/dL)
|
13.160 ± 1.394
|
12.013 ± 1.796
|
<0.001
|
<0.001
|
ASA Status
|
|
|
<0.001
|
-
|
1
|
179 (7.250%)
|
5 (3.268%)
|
|
|
2
|
2151 (87.120%)
|
123 (80.392%)
|
|
|
3
|
139 (5.630%)
|
25 (16.340%)
|
|
|
Type of Anaesthesia
|
|
|
<0.001
|
-
|
GA
|
884 (35.804%)
|
77 (50.327%)
|
|
|
RA
|
1585 (64.196%)
|
76 (49.673%)
|
|
|
Procedure Description
|
|
|
<0.001
|
-
|
Unilateral
|
2273 (92.062%)
|
121 (79.085%)
|
|
|
Bilateral
|
176 (7.128%)
|
30 (19.608%)
|
|
|
Revision
|
20 (0.810%)
|
2 (1.307%)
|
|
|
Smoking
|
|
|
0.119
|
-
|
No
|
2230 (90.320%)
|
144 (94.118%)
|
|
|
Yes
|
239 (9.680%)
|
9 (5.882%)
|
|
|
DM
|
|
|
0.420
|
-
|
No
|
2017 (81.693%)
|
121 (79.085%)
|
|
|
Yes
|
452 (18.307%)
|
32 (20.915%)
|
|
|
IHD
|
|
|
0.108
|
-
|
No
|
2348 (95.099%)
|
141 (92.157%)
|
|
|
Yes
|
121 (4.901%)
|
12 (7.843%)
|
|
|
CHF
|
|
|
0.001
|
-
|
No
|
2451 (99.271%)
|
148 (96.732%)
|
|
|
Yes
|
18 (0.729%)
|
5 (3.268%)
|
|
|
CVA
|
|
|
0.872
|
-
|
No
|
2425 (98.218%)
|
150 (98.039%)
|
|
|
Yes
|
44 (1.782%)
|
3 (1.961%)
|
|
|
Creatinine > 2mg/dl (177 umol/L) (Past 60 days)
|
|
|
<0.001
|
-
|
No
|
2181 (88.335%)
|
129 (84.314%)
|
|
|
Yes
|
14 (0.567%)
|
6 (3.922%)
|
|
|
Missing
|
274 (11.098%)
|
18 (11.765%)
|
|
|
DM on insulin
|
|
|
0.096
|
-
|
No
|
1834 (74.281%)
|
111 (72.549%)
|
|
|
Yes
|
39 (1.580%)
|
6 (3.922%)
|
|
|
Missing
|
596 (24.139%)
|
36 (23.529%)
|
|
|
which Day of doing operation in a week?
|
|
|
0.215
|
-
|
Mon
|
408 (16.525%)
|
27 (17.647%)
|
|
|
Tue
|
548 (22.195%)
|
41 (26.797%)
|
|
|
Wed
|
428 (17.335%)
|
20 (13.072%)
|
|
|
Thu
|
571 (23.127%)
|
29 (18.954%)
|
|
|
Fri
|
386 (15.634%)
|
31 (20.261%)
|
|
|
Sat
|
128 (5.184%)
|
5 (3.268%)
|
|
|
Results in the table: mean + SD / N (%)
P value *: if it is a continuous variable, it shall be obtained by Kruskal Wallis rank sum test. If the theoretical number of counting variables is less than 10, it shall be obtained by Fisher exact probability test.
The Single-factor analysis and subgroup analysis of operation duration and blood transfusion
We analyzed the association between the operation duration and perioperative blood transfusion by single-factor logistics regression. The results showed that the older age (OR = 1.051, 95% CI: 1.030,1.073), the lower BMI index (OR = 0.939,95% CI: 0.903,0.976), the higher ASA status (OR=6.439, 95% CI: 2.403, 17.249), the lower Hb level (OR=0.603, 95% CI:0.541, 0.671),the general anesthesia(OR=0.550, 95% CI:0.397, 0.764), the Bilateral KA (OR=3.202,95%CI:2.087, 4.913), within CHF (OR=4.600, 95%CI: 1.685, 2.563), the Cr in past 60 days>2mg/dL(OR=7.246,95% CI: 2.739, 19.166), the DM insulin-dependent (OR=2.542,95% CI: 1.054, 6.132) ,the higher risk factors for perioperative blood transfusion of TKA (P<0.05) (Table 2). On the contrary, gender, race, operation method, smoking status, DM, IHD, CVA, operation date were not associated with perioperative blood transfusion (P > 0.05) (Table 2).
Table 2
Univariate analysis of Each variable and Risk of Blood Transfusion Events in the Perioperation
| Total | OR (95%CI) | P-value |
Gender | | | |
MALE | 634 (24.180%) | Ref | |
FEMALE | 1988 (75.820%) | 1.170 (0.787, 1.738) | 0.43732 |
Age(Years) | 66.259 ± 8.227 | 1.051 (1.030, 1.073) | <0.001 |
Race | | | |
Chinese | 2206 (84.134%) | Ref | |
Indian | 150 (5.721%) | 1.045 (0.520, 2.098) | 0.90174 |
Malay | 188 (7.170%) | 0.823 (0.412, 1.646) | 0.58188 |
Others | 78 (2.975%) | 1.871 (0.881, 3.973) | 0.10305 |
BMI | 27.811 ± 5.560 | 0.939 (0.903, 0.976) | 0.00148 |
ASA Status | | | |
1 | 184 (7.018%) | Ref | |
2 | 2274 (86.728%) | 2.047 (0.826, 5.071) | 0.12160 |
3 | 164 (6.255%) | 6.439 (2.403, 17.249) | 0.00021 |
Hb (g/dL) | 13.093 ± 1.446 | 0.603 (0.541, 0.671) | <0.001 |
Type of Anaesthesia | | | |
GA | 961 (36.651%) | Ref | |
RA | 1661 (63.349%) | 0.550 (0.397, 0.764) | 0.00035 |
Operation Duration (mins) | 84.875 ± 27.492 | 1.014 (1.009, 1.019) | <0.00001 |
Procedure Description | | | |
Unilateral | 2394 (91.304%) | Ref | |
Bilateral | 206 (7.857%) | 3.202 (2.087, 4.913) | <0.00001 |
Revision | 22 (0.839%) | 1.879 (0.434, 8.130) | 0.39895 |
Smoking | | | |
No | 2374 (90.542%) | Ref | |
Yes | 248 (9.458%) | 0.583 (0.294, 1.158) | 0.12347 |
DM | | | |
No | 2138 (81.541%) | Ref | |
Yes | 484 (18.459%) | 1.180 (0.789, 1.765) | 0.42021 |
IHD | | | |
No | 2489 (94.928%) | Ref | |
Yes | 133 (5.072%) | 1.651 (0.891, 3.061) | 0.11105 |
CHF | | | |
No | 2599 (99.123%) | Ref | |
Yes | 23 (0.877%) | 4.600 (1.685, 12.563) | 0.00291 |
CVA | | | |
No | 2575 (98.207%) | Ref | |
Yes | 47 (1.793%) | 1.102 (0.338, 3.591) | 0.87163 |
Creatinine > 2mg/dl | | | |
No | 2310 (88.101%) | Ref | |
Yes | 20 (0.763%) | 7.246 (2.739, 19.166) | 0.00007 |
NA | 292 (11.137%) | 1.111 (0.668, 1.848) | 0.68600 |
DM on insulin | | | |
No | 1945 (74.180%) | Ref | |
Yes | 45 (1.716%) | 2.542 (1.054, 6.132) | 0.03785 |
NA | 632 (24.104%) | 0.998 (0.678, 1.470) | 0.99193 |
Day of doing operation in a week? | | | |
Mon | 435 (16.590%) | Ref | |
Tue | 589 (22.464%) | 1.131 (0.684, 1.868) | 0.63208 |
Wed | 448 (17.086%) | 0.706 (0.390, 1.279) | 0.25081 |
Thu | 600 (22.883%) | 0.767 (0.448, 1.316) | 0.33614 |
Fri | 417 (15.904%) | 1.214 (0.711, 2.071) | 0.47770 |
Sat | 133 (5.072%) | 0.590 (0.223, 1.564) | 0.28896 |
Data in the table: OR (95%CI) Pvalue |
Result variable: what blood transfusion in the period? |
Exposure variables:Race; Gender; BMI; Age(Years); ASA Status; Hb(g/dL); Type of Anaesthesia; Operation Duration (mins); Procedure Description; Smoking; OSA; DM; IHD; CHF; CVA; Creatinine > 2mg/dl ; DM on insulin; which Day of doing operation in a week? |
Adjust variables:None |
We further conducted stratification analysis on the age, BMI group, ASA status and Hb group. We observed that the incidence of perioperative blood transfusion was higher (P<0.05) (Table 3) when the BMI of patients was less than 29 kg/m2. Moreover, in the stratified analysis of age, ASA status and Hb, we found that the older the patients, the higher the ASA status and the lower the preoperative hemoglobin Hb value, and the higher the incidence of perioperative blood transfusion (Table 3).
Table 3
Subgroup Analysis of Operation Duration (mins) and Blood Transfusion in the Perioperation
| N | Blood Transfusion | P-value |
OR (95%CI) |
BMI group | | | |
14.6 - 25.4 | 862 | 1.019 (1.011, 1.027) | <0.0001 |
25.5 - 29 | 884 | 1.014 (1.005, 1.022) | 0.0022 |
29.1 - 183.3 | 876 | 1.007 (0.996, 1.019) | 0.1915 |
Age(Years) group | | | |
20 - 62 | 853 | 1.011 (1.001, 1.021) | 0.034 |
63 - 69 | 833 | 1.016 (1.007, 1.025) | 0.0005 |
70 - 92 | 936 | 1.016 (1.008, 1.024) | <0.0001 |
ASA Status | | | |
1 | 184 | 1.005 (0.974, 1.038) | 0.7429 |
2 | 2274 | 1.015 (1.009, 1.020) | <0.0001 |
3 | 164 | 1.012 (0.997, 1.027) | 0.1234 |
Hb(g/dL) group | | | |
6.8 - 12.5 | 820 | 1.010 (1.003, 1.016) | 0.0062 |
12.6 - 13.6 | 920 | 1.024 (1.014, 1.035) | <0.0001 |
13.7 - 18.1 | 882 | 1.013 (1.001, 1.025) | 0.0288 |
Data in the table: OR (95%CI) Pvalue; Result variable: Whether blood transfusion in the perioperation?; Exposure variables: Operation Duration (mins); Adjust variables: None |
Table 4
Univariate and multivariate analysis of Operation Duration (mins) and Blood Transfusion in the perioperation
Exposure | Non-adjusted Model OR (95%CI) P-value | Adjust I Model OR (95%CI) P-value | Adjust II Model OR (95%CI) P-value |
Operation Duration (mins) | 1.014 (1.009, 1.019) <0.00001 | 1.016 (1.011, 1.021) <0.00001 | 1.011 (1.004, 1.018) 0.00096 |
Group | | | |
<100 | Ref | Ref | Ref |
>=100 | 1.947 (1.393, 2.722) 0.00010 | 2.161 (1.537, 3.039) <0.00001 | 1.568 (1.034, 2.378) 0.03442 |
P for trend | 0.00010 | <0.00001 | 0.03442 |
Result variable: what blood transfusion in the period? |
Exposure variables:Operation Duration (mins); Operation Duration (mins) 分组; Operation Duration (mins) 分组 |
Non-adjusted model adjust for: None |
Adjust I model adjust for: Race; Gender; BMI; Age(Years) |
Adjust II model adjust for: Race; Gender; BMI; Age(Years); ASA Status; Hb(g/dL); Type of Anaesthesia; Procedure Description; Smoking; OSA; DM; IHD; CHF; CVA; Creatinine > 2mg/dl (177 umol/L) (Past 60 days); DM on insulin; which Day of doing operation in a week? |
Finally, we explored the independent influence of operation duration and perioperative blood transfusion by multi-factor logistics regression. It was found there was a positive association between operation duration and perioperative blood transfusion in the three models, and the relationship was stable. In the unadjusted model, the risk of blood transfusion would increase by 1.4% for each 1-minute increase in operative duration (OR = 1.014,95% CI: 1.009,1.019). In the partially adjusted model, the risk of blood transfusion would increase by 1.6% for each 1-minute increase in operative duration (OR = 1.016,95% CI: 1.011,1.021). In the fully adjusted model, the risk of blood transfusion would increase by 1.1% for each 1-minute increase in operative duration(OR = 1.011,95% CI: 1.004, 1.018).
Compared with patients with operation duration less than 100 minutes, the incidence of perioperative blood transfusion in patients with operation duration equal to and over 100 minutes was 56.8% higher (OR = 1.568,95% CI: 1.034, 2.378), and the trend test showed that the P value was below 0.05, which indicated that the positive association between the two was stable.