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Journal of Orthopaedic Surgery and Research logoLink to Journal of Orthopaedic Surgery and Research
. 2019 Aug 28;14:273. doi: 10.1186/s13018-019-1329-0

The incidence and risk factors for allogenic blood transfusion in total knee and hip arthroplasty

Kai Song 1,2,#, Pin Pan 1,2,#, Yao Yao 1,2, Tao Jiang 1,2, Qing Jiang 1,2,
PMCID: PMC6712778  PMID: 31455380

Abstract

Background

Excessive blood loss in total joint arthroplasty (TJA) usually leads to an allogenic blood transfusion, which may cause adverse outcomes, prolonged length of hospitalization, and increased costs. The purpose of this study was to determine the incidence and risk factors for intraoperative and postoperative allogenic transfusion in patients undergoing primary unilateral total knee and hip arthroplasty (TKA and THA).

Methods

We conducted a retrospective study and enrolled consecutive patients undergoing primary unilateral TKA and THA at our institution between January 2010 and July 2014 (n = 1534). Information about allogenic transfusion was collected from medical records to determine the incidence. We performed univariate analysis and multivariate logistic regression analysis to identify the independent risk factors.

Results

Total, intraoperative, and postoperative transfusion rates were 17.9%, 7.9%, and 11.3%, respectively. The preoperative lower level of hemoglobin (Hb) (P < 0.001) and increased amount of intraoperative blood loss (P < 0.001) were independently associated with transfusion in TKA. The independent risk factors for transfusion in THA were female (P = 0.023), preoperative lower Hb level (P < 0.001), prolonged operation time (P < 0.001), and increased intraoperative blood loss (P < 0.001).

Conclusions

Given the high prevalence and potential risk of transfusion in TJA, interventions for identified risk factors should be used during the perioperative period.

Keywords: Total knee arthroplasty, Total hip arthroplasty, Allogenic blood transfusion, Preoperative hemoglobin level

Background

Total joint arthroplasty (TJA), representing an effective procedure in the treatment of various joint pathologies, is usually associated with substantial blood loss, which increases allogenic blood transfusion requirements during the perioperative period. Previous studies have proved that blood transfusion increased the risk of surgical-site infection, major complications, longer length of hospitalization, and even mortality in total knee and hip arthroplasty (TKA and THA) [13]. Additionally, transfusion causes higher total hospitalization cost and more medical resource use [4].

Therefore, perioperative blood management to avoid allogenic transfusion in TJA has gained increasing attention. Determining the incidence of transfusion and identifying patients at higher risk of transfusion are critical to establishing a strategy to decrease blood loss and transfusion rates. The reported incidence of transfusion varies from 3.5 to 18.5% in TKA and from 5.4 to 26.2% in THA, which is negatively associated with hospital procedure volume [5]. Additionally, different blood management strategies also cause the variation of transfusion rates. For orthopedic surgeries, the risk factors for transfusion include advanced age, higher American Society of Anesthesiologists (ASA) grade, lower level of preoperative hemoglobin (Hb), and increased postoperative drainage volume [6].

In this retrospective study, we aim to determine the incidence and risk factors for intraoperative and postoperative allogenic blood transfusion in patients undergoing primary unilateral TKA and THA.

Methods

This retrospective study included consecutive patients undergoing primary unilateral TKA and THA at our institution between January 2010 and July 2014. For patients who received staged TKAs or THAs for both lower limbs during this period, only the first procedure was included. We excluded patients with coagulation disorders or on anticoagulants before surgery. Patients undergoing autologous blood predonation before surgery were also excluded. This study was approved by our institutional review board (IRB).

All surgeries were performed by four surgeons with standard procedure. The medial parapatellar arthrotomy was used in TKA. A pneumatic tourniquet was applied before skin incision and it was released after cementing the prosthesis. THAs were conducted using modified Hardinge approach. A closed drainage system was employed routinely in TKA and THA, and it was removed within 48 h postoperatively. Tranexamic acid and other hemostatic agents were not used in any of the patients. Recommended thromboprophylaxis, consisting of chemical (rivaroxaban or low-molecular-weight heparin) and mechanical (intermittent pneumatic compression devices) prophylaxis, was used for each patient. All patients underwent a unified rehabilitation program following surgery.

Intraoperatively, the allogenic blood transfusion trigger was a Hb level of less than 9.0 g/dL. Postoperatively, patients were transfused if their level of Hb was less than 8.0 g/dL, or if they presented with obvious anemic symptoms and the level of Hb was less than 9.0 g/dL. All intraoperative and postoperative transfusion events were recorded. We collected patients’ demographic information from medical records, including age, gender, body mass index (BMI), coexisting illnesses, smoking history, and primary diagnosis. The preoperative laboratory values, including Hb, platelet count (PLT), plasma prothrombin time (PT), international normalized ratio (INR), and activated partial thromboplastin time (APTT), were also collected. We obtained the operation time and estimated intraoperative blood loss from operation notes.

Statistical analysis was conducted using STATA version 12.0 (Stata Corp. LP, College Station, TX, USA). Variables, including age, gender, BMI, diabetes, hypertension, malignancy, smoking history, diagnosis, PT, INR, APTT, Hb, PLT, operation time, and intraoperative blood loss, were compared between transfusion group and non-transfusion group. Qualitative variables were analyzed using the chi-square test, and quantitative variables were analyzed using t test. Subsequently, factors with P value less than 0.05 were introduced into the multivariate logistic regression analysis to identify the independent risk factors for transfusion. A P value less than 0.05 was considered statistically significant.

Results

A total of 1534 patients were enrolled in this study. There were 1067 females and 467 males, with a mean age of 64.8 ± 12.5 years (range 17–93 years). There were 541 patients undergoing primary unilateral TKA and 993 patients undergoing primary unilateral THA. Table 1 shows the baseline characteristics of the study population.

Table 1.

Patient’s demographic, clinical, and surgical characteristics

Characteristics Total (n = 1534) TKA (n = 541) THA (n = 993)
Gender
 Male (%) 467 (30.4) 97 (17.9) 370 (37.3)
 Female (%) 1067 (69.6) 444 (82.1) 623 (62.7)
Age, years (mean ± SD) 64.8 ± 12.5 67.4 ± 7.4 63.4 ± 14.3
BMI, kg/m2 (mean ± SD) 24.4 ± 4.0 26.1 ± 3.8 23.4 ± 3.8
Diabetes (%) 184 (12.0) 89 (16.5) 95 (9.6)
Hypertension (%) 548 (35.7) 239 (44.2) 309 (31.1)
Malignance (%) 41 (2.7) 16 (3.0) 25 (2.5)
Smoking (%) 160 (10.4) 32 (5.9) 128 (12.9)
Diagnosis
 OA (%) 643 (41.9) 491 (90.8) 152 (15.3)
 RA (%) 64 (4.2) 50 (9.2) 14 (1.4)
 Femoral neck fracture (%) 401 (26.1) 401 (40.4)
 ONFH (%) 255 (16.6) 255 (25.7)
 DDH (%) 106 (6.9) 106 (10.7)
 AS (%) 54 (3.5) 54 (5.4)
 Previous septic arthritis (%) 11 (0.7) 11 (1.1)
PT, s (mean ± SD) 11.5 ± 1.0 11.4 ± 0.9 11.6 ± 1.0
INR (mean ± SD) 1.01 ± 0.09 1.00 ± 0.08 1.02 ± 0.09
APTT, s (mean ± SD) 26.9 ± 4.5 25.9 ± 3.8 27.4 ± 4.8
Preoperative Hb level, g/L (mean ± SD) 127.9 ± 14.9 127.3 ± 13.8 128.2 ± 15.5
PLT, 109/L (mean ± SD) 200.4 ± 64.3 206.7 ± 66.9 197.0 ± 62.6
Operation time, min (mean ± SD) 110.3 ± 29.8 124.2 ± 23.1 102.7 ± 30.4
Intraoperative blood loss, mL (mean ± SD) 290.2 ± 168.9 201.3 ± 111.0 338.7 ± 175.2

TKA total knee arthroplasty, THA total hip arthroplasty, SD standard deviation, BMI body mass index, OA osteoarthritis, RA rheumatoid arthritis, ONFH osteonecrosis of the femur head, DDH developmental dysplasia of the hip, AS ankylosing spondylitis, PT prothrombin time, INR international normalized ratio, APTT activated partial thromboplastin time, Hb hemoglobin, PLT platelet count

Two hundred and 74 patients (17.9%) received allogenic blood transfusion. Among them, 121 patients (7.9%) were transfused during the surgery and 174 patients (11.3%) were transfused after surgery. In the TKA group, the incidence of postoperative transfusion (13.9%, n = 75) was higher than that (10.0%, n = 99) in the THA group (P = 0.022). There was no statistical difference between TKA group and THA group in intraoperative transfusion (7.0% vs. 8.4%, P = 0.345) and total transfusion (19.4% vs. 17.0%, P = 0.243).

According to the univariate analysis for TKA group, gender (P = 0.027), preoperative level of Hb (P < 0.001), and intraoperative blood loss (P < 0.001) were associated with total transfusion (Table 2). The subsequent multivariate logistic regression analysis showed that preoperative lower level of Hb (P < 0.001) and increased amount of intraoperative blood loss (P < 0.001) were the independent risk factors for total transfusion in TKA (Table 3). Likewise, we found that prolonged APTT (P = 0.035), preoperative lower level of Hb (P = 0.007), and increased blood loss (P < 0.001) were independent predictors for intraoperative transfusion in TKA. Female (P = 0.027) and preoperative lower Hb level (P < 0.001) were the independent predictors for postoperative transfusion in TKA.

Table 2.

Univariate analysis of the risk factors for transfusion in TKA

Variable Non-transfusion (n = 436) Transfusion (n = 105) P value
Female gender (%) 350 (80.3) 94 (89.5) 0.027*
Age, years (mean ± SD) 67.5 (7.2) 66.6 (8.5) 0.264
BMI, kg/m2 (mean ± SD) 26.1 (3.7) 26.2 (4.3) 0.762
Diabetes (%) 69 (15.8) 20 (19.1) 0.424
Hypertension (%) 198 (45.4) 41 (39.1) 0.238
Malignance (%) 12 (2.8) 4 (3.8) 0.566
Smoking (%) 28 (6.4) 4 (3.8) 0.308
Diagnosis of RA (%) 36 (8.3) 14 (13.3) 0.107
PT, s (mean ± SD) 11.4 (0.9) 11.5 (0.8) 0.189
INR (mean ± SD) 0.99 (0.08) 1.01 (0.07) 0.192
APTT, s (mean ± SD) 25.8 (3.9) 26.5 (3.7) 0.076
Preoperative Hb level, g/L (mean ± SD) 128.8 (13.2) 121.1 (14.5) < 0.001*
PLT, 109/L (mean ± SD) 207.3 (65.3) 204.1 (73.5) 0.657
Operation time, min (mean ± SD) 124.1 (22.7) 124.6 (24.5) 0.822
Intraoperative blood loss, mL (mean ± SD) 189.4 (95.5) 250.4 (151.0) < 0.001*

SD standard deviation, BMI body mass index, RA rheumatoid arthritis, PT prothrombin time, INR international normalized ratio, APTT activated partial thromboplastin time, Hb hemoglobin, PLT platelet count

*P < 0.05 was considered statistically significant

Table 3.

Multivariate logistic regression analysis to identify independent risk factors for transfusion in TKA

OR 95%CI P value
Female 1.545 0.750–3.182 0.238
Preoperative hemoglobin level 0.959 0.942–0.977 < 0.001*
Intraoperative blood loss 1.005 1.003–1.007 < 0.001*

OR odds ratio, CI confidence interval

*P < 0.05 was considered statistically significant

In THA group, gender (P < 0.001), diagnosis (P = 0.019), preoperative Hb level (P < 0.001), operation time (P < 0.001), and intraoperative blood loss (P < 0.001) were found to be associated with total transfusion by univariate analysis (Table 4). Subsequently, multivariate logistic regression analysis showed that female (P = 0.023), preoperative lower Hb level (P < 0.001), prolonged operation time (P < 0.001), and increased intraoperative blood loss (P < 0.001) were the independent risk factors for total transfusion (Table 5). For intraoperative transfusion in THA, preoperative lower Hb level (P < 0.001), prolonged operation time (P < 0.001), and increased intraoperative blood loss (P < 0.001) were the independent predictors. For postoperative transfusion in THA, female (P = 0.037), preoperative lower level of Hb (P = 0.007), and increased blood loss (P < 0.001) were the independent predictors.

Table 4.

Univariate analysis of the risk factors for transfusion in THA

Variable Non-transfusion (n = 824) Transfusion (n = 169) P value
Female gender (%) 491 (59.6) 132 (78.1) < 0.001*
Age, years (mean ± SD) 63.7 (14.1) 61.9 (15.2) 0.142
BMI, kg/m2 (mean ± SD) 23.4 (3.7) 23.6 (3.9) 0.518
Diabetes (%) 78 (9.5) 17 (10.1) 0.811
Hypertension (%) 250 (30.3) 59 (34.9) 0.242
Malignance (%) 22 (2.7) 3 (1.8) 0.499
Smoking (%) 107 (13.0) 21 (12.4) 0.843
Diagnosis 0.019*
 OA (%) 119 (14.4) 33 (19.5)
 RA (%) 8 (1.0) 6 (3.6)
 Femoral neck fracture (%) 346 (42.0) 55 (32.5)
 ONFH (%) 216 (26.2) 39 (23.1)
 DDH (%) 83 (10.1) 23 (13.6)
 AS (%) 44 (5.3) 10 (5.9)
 Previous septic arthritis (%) 8 (1.0) 3 (1.8)
PT, s (mean ± SD) 11.6 (1.0) 11.7 (1.1) 0.177
INR (mean ± SD) 1.02 (0.09) 1.03 (0.11) 0.146
APTT, s (mean ± SD) 27.4 (4.9) 27.5 (4.1) 0.698
Preoperative Hb level, g/L (mean ± SD) 130.1 (15.1) 119.1 (14.4) < 0.001*
PLT, 109/L (mean ± SD) 197.8 (62.5) 193.0 (63.0) 0.361
Operation time, min (mean ± SD) 99.6 (28.0) 117.9 (36.4) < 0.001*
Intraoperative blood loss, mL (mean ± SD) 314.6 (163.5) 456.0 (183.3) < 0.001*

SD standard deviation, BMI body mass index, OA osteoarthritis, RA rheumatoid arthritis, ONFH osteonecrosis of the femur head, DDH developmental dysplasia of the hip, AS ankylosing spondylitis, PT prothrombin time, INR international normalized ratio, APTT activated partial thromboplastin time, Hb hemoglobin, PLT platelet count

*P < 0.05 was considered statistically significant

Table 5.

Multivariate logistic regression analysis to identify independent risk factors for transfusion in THA

OR 95%CI P value
Female 1.694 1.074–2.674 0.023*
Diagnosis 1.041 0.917–1.182 0.533
Preoperative hemoglobin level 0.948 0.934–0.961 < 0.001*
Operation time 1.015 1.009–1.021 < 0.001*
Intraoperative blood loss 1.004 1.003–1.005 < 0.001*

OR odds ratio, CI confidence interval

*P < 0.05 was considered statistically significant

Discussion

The incidence of transfusion in TJA, TKA, and THA was 17.9%, 19.4%, and 17.0%, respectively. In TKA, preoperative lower level of Hb and increased amount of intraoperative blood loss were significantly associated with transfusion. In THA, female, preoperative lower Hb level, prolonged operation time, and increased intraoperative blood loss were the independent risk factors for transfusion. Preoperative optimization and preventive measures for these risk factors may be able to decrease transfusion rates.

Total joint arthroplasty is usually associated with excessive blood loss, which may cause a mean Hb decrease of 3.7 g/dL [7] and requirements for allogenic transfusion. Because of different patient and hospital characteristics, the reported incidence of transfusion varies widely from 2.5 to 35.3% in TKA and from 14 to 29.8% in THA [5, 812]. Studies about the trends in allogenic transfusion reveal a decline in TKA and an increase in THA [9, 13]. Transfusion is found to be dose-dependently associated with surgical site infection following TJA [3, 14]. It also increases the risk of postoperative cardiac arrhythmia, confusion, and urinary catheterization [15]. Patients receiving transfusion during TJA are prone to higher cost, prolonged length of stay, and discharge to short-term care [13]. Moreover, transfusion appears to increase the rates of in-hospital and 1-year postoperative mortality in TJA [15, 16].

Preoperative Hb level is considered a significant predictor for transfusion following TJA [11, 17, 18], which is consistent with the present study. Patients with a preoperative Hb level less than 13 g/dL are at a fourfold higher risk of having transfusion compared to those with Hb level of > 13 g/dL [18]. Bleeding and clotting disorders are also independent risk factors for transfusion [14], and we excluded patients with these comorbidities from our study. According to previous studies, female and older age have proven to be associated with transfusion in TKA and THA [8, 19, 20]. In our study, female is found to be the independent risk factor for postoperative transfusion but not total or intraoperative transfusion in TKA; it is the independent risk factor for total and postoperative transfusion but not intraoperative transfusion in THA. We did not find the relationship between age and transfusion rates.

There are several limitations in our study. First, this study has all limitations inherent to retrospective observational studies, which should be noted when interpreting the results. Second, we only recorded the events of transfusion during hospitalization. Some patients may receive transfusion after discharge to another hospital for short-term inpatient care. Third, postoperative parameters (drainage volume, anticoagulants use, etc.) and other confounders (ASA grade, comorbidity index, etc.) may also influence transfusion rates, but we did not include these factors into the analysis. Fourth, the value of intraoperative blood loss was estimated by the volume of blood in the suction canister plus the amount of blood in the dry sponges, which may cause the inaccuracy of the data. It also should be noted that the prevalence of transfusion in this study may be higher, because we did not optimize preoperative Hb concentration or use tranexamic acid during the research period.

Given the high incidence of transfusion in TJA, further research to decrease blood loss and optimize blood management is warranted. For patients with identified risk factors, perioperative interventions should be employed to reduce the transfusion rates.

Acknowledgements

This work was supported by Jiangsu Provincial Key Research and Development Foundation (BE2016608), National Science Foundation of China (81702151), Natural Science Foundation of Jiangsu Province\ (BK20170121), and Fundamental Research Funds for the Central Universities (021414380306).

Abbreviations

APTT

Activated partial thromboplastin time

ASA

American Society of Anesthesiologists

BMI

Body mass index

Hb

Hemoglobin

INR

International normalized ratio

IRB

Institutional review board

PLT

Platelet count

PT

Plasma prothrombin time

THA

Total hip arthroplasty

TJA

Total joint arthroplasty

TKA

Total knee arthroplasty

Authors’ contributions

QJ contributed substantially to the conception and design of the study. KS, YY, PP, and TJ collected and analyzed the data. KS wrote the manuscript with support from PP. All authors read and approved the final manuscript.

Funding

This work was supported by Jiangsu Provincial Key Research and Development Foundation (BE2016608), National Science Foundation of China (81702151), Natural Science Foundation of Jiangsu Province (BK20170121), and Fundamental Research Funds for the Central Universities (021414380306).

Availability of data and materials

The data used to support the findings of this study are available from the corresponding author upon request.

Ethics approval and consent to participate

This study was approved by the institutional review board (IRB) of Nanjing Drum Tower Hospital (No. 2012029).

Consent for publication

Not applicable

Competing interests

The authors declare that they have no competing interests

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Kai Song and Pin Pan contributed equally to this research and shared joint first authorship.

References

  • 1.Danninger T, Rasul R, Poeran J, Stundner O, Mazumdar M, Fleischut PM, Poultsides L, Memtsoudis SG. Blood transfusions in total hip and knee arthroplasty: an analysis of outcomes. ScientificWorldJournal. 2014;2014:623460. doi: 10.1155/2014/623460. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Hart A, Khalil JA, Carli A, Huk O, Zukor D, Antoniou J. Blood transfusion in primary total hip and knee arthroplasty. Incidence, risk factors, and thirty-day complication rates. J Bone Joint Surg Am. 2014;96(23):1945–1951. doi: 10.2106/JBJS.N.00077. [DOI] [PubMed] [Google Scholar]
  • 3.Kim JL, Park JH, Han SB, Cho IY, Jang KM. Allogeneic blood transfusion is a significant risk factor for surgical-site infection following total hip and knee arthroplasty: a meta-analysis. J Arthroplasty. 2017;32(1):320–325. doi: 10.1016/j.arth.2016.08.026. [DOI] [PubMed] [Google Scholar]
  • 4.Nichols CI, Vose JG. Comparative risk of transfusion and incremental total hospitalization cost for primary unilateral, bilateral, and revision total knee arthroplasty procedures. J Arthroplasty. 2016;31(3):583–589 e581. doi: 10.1016/j.arth.2015.10.013. [DOI] [PubMed] [Google Scholar]
  • 5.Menendez ME, Lu N, Huybrechts KF, Ring D, Barnes CL, Ladha K, Bateman BT. Variation in use of blood transfusion in primary total hip and knee arthroplasties. J Arthroplasty. 2016;31(12):2757–2763. doi: 10.1016/j.arth.2016.05.022. [DOI] [PubMed] [Google Scholar]
  • 6.Tang JH, Lyu Y, Cheng LM, Li YC, Gou DM. Risk factors for the postoperative transfusion of allogeneic blood in orthopedics patients with intraoperative blood salvage: a retrospective cohort study. Medicine. 2016;95(8):e2866. doi: 10.1097/MD.0000000000002866. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Boutsiadis A, Reynolds RJ, Saffarini M, Panisset JC. Factors that influence blood loss and need for transfusion following total knee arthroplasty. Ann Transl Med. 2017;5(21):418. doi: 10.21037/atm.2017.08.11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Slover J, Lavery JA, Schwarzkopf R, Iorio R, Bosco J, Gold HT. Incidence and risk factors for blood transfusion in total joint arthroplasty: analysis of a statewide database. J Arthroplasty. 2017;32(9):2684–2687. doi: 10.1016/j.arth.2017.04.048. [DOI] [PubMed] [Google Scholar]
  • 9.Helder CW, Schwartz BE, Redondo M, Piponov HI, Gonzalez MH. Blood transfusion after primary total hip arthroplasty: national trends and perioperative outcomes. J Surg Orthop Adv. 2017;26(4):216–222. [PubMed] [Google Scholar]
  • 10.Al-Turki AA, Al-Araifi AK, Badakhan BA, Al-Nazzawi MT, Alghnam S, Al-Turki AS. Predictors of blood transfusion following total knee replacement at a tertiary care center in Central Saudi Arabia. Saudi Med J. 2017;38(6):598–603. doi: 10.15537/smj.2017.6.17475. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Yeh JZ, Chen JY, Bin Abd Razak HR, Loh BH, Hao Y, Yew AK, Chia SL, Lo NN, Yeo SJ. Preoperative haemoglobin cut-off values for the prediction of post-operative transfusion in total knee arthroplasty. Knee Surg Sports Traumatol Arthrosc. 2016;24(10):3293–3298. doi: 10.1007/s00167-016-4183-1. [DOI] [PubMed] [Google Scholar]
  • 12.Noticewala MS, Nyce JD, Wang W, Geller JA, Macaulay W. Predicting need for allogeneic transfusion after total knee arthroplasty. J Arthroplasty. 2012;27(6):961–967. doi: 10.1016/j.arth.2011.10.008. [DOI] [PubMed] [Google Scholar]
  • 13.Mistry JB, Gwam CU, Naziri Q, Pivec R, Abraham R, Mont MA, Delanois RE. Are allogeneic transfusions decreasing in total knee arthroplasty patients? National Inpatient Sample 2009-2013. J Arthroplasty. 2018;33(6):1705–1712. doi: 10.1016/j.arth.2017.12.014. [DOI] [PubMed] [Google Scholar]
  • 14.Everhart JS, Sojka JH, Mayerson JL, Glassman AH, Scharschmidt TJ. Perioperative allogeneic red blood-cell transfusion associated with surgical site infection after total hip and knee arthroplasty. J Bone Joint Surg Am. 2018;100(4):288–294. doi: 10.2106/JBJS.17.00237. [DOI] [PubMed] [Google Scholar]
  • 15.Maempel JF, Wickramasinghe NR, Clement ND, Brenkel IJ, Walmsley PJ. The pre-operative levels of haemoglobin in the blood can be used to predict the risk of allogenic blood transfusion after total knee arthroplasty. Bone Joint J. 2016;98-B(4):490–497. doi: 10.1302/0301-620X.98B4.36245. [DOI] [PubMed] [Google Scholar]
  • 16.Browne JA, Adib F, Brown TE, Novicoff WM. Transfusion rates are increasing following total hip arthroplasty: risk factors and outcomes. J Arthroplasty. 2013;28(8 Suppl):34–37. doi: 10.1016/j.arth.2013.03.035. [DOI] [PubMed] [Google Scholar]
  • 17.Trevisan Carlo, Klumpp Raymond, Auriemma Laura, Compagnoni Riccardo. An algorithm for predicting blood loss and transfusion risk after total hip arthroplasty. Transfusion and Apheresis Science. 2018;57(2):272–276. doi: 10.1016/j.transci.2018.03.006. [DOI] [PubMed] [Google Scholar]
  • 18.Salido JA, Marin LA, Gomez LA, Zorrilla P, Martinez C. Preoperative hemoglobin levels and the need for transfusion after prosthetic hip and knee surgery: analysis of predictive factors. J Bone Joint Surg Am. 2002;84-A(2):216–220. doi: 10.2106/00004623-200202000-00008. [DOI] [PubMed] [Google Scholar]
  • 19.To J. Sinha R, Kim SW, Robinson K, Kearney B, Howie D, To LB Predicting perioperative transfusion in elective hip and knee arthroplasty: a validated predictive model. Anesthesiology. 2017;127(2):317–325. doi: 10.1097/ALN.0000000000001709. [DOI] [PubMed] [Google Scholar]
  • 20.Sizer SC, Cherian JJ, Elmallah RD, Pierce TP, Beaver WB, Mont MA. Predicting blood loss in total knee and hip arthroplasty. Orthop Clin North Am. 2015;46(4):445–459. doi: 10.1016/j.ocl.2015.06.002. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data used to support the findings of this study are available from the corresponding author upon request.


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