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Factors influencing postoperative length of stay in an enhanced recovery after surgery program for primary total knee arthroplasty

Abstract

Background

Hospital length of stay (LOS) after primary total knee arthroplasty (TKA) has decreased obviously following the implementation of enhanced recovery after surgery (ERAS) program in the last few years. However, there are still some patients that cannot be discharged at early time for a variety of reasons, and it is necessary to explore factors leading to prolonged LOS. Therefore, the purpose of this study was to identify the complete preoperative, perioperative, and postoperative factors associated with prolonged postoperative LOS (PLOS) after primary TKA in a detailed ERAS program.

Methods

In a consecutive series from July 2015 to March 2017, all patients who underwent unilateral elective primary TKA were included in the retrospective study. A PLOS greater than 3 days was considered a prolonged PLOS. Multivariable logistic regression analysis was performed to identify patient characteristics and relevant preoperative, perioperative, and postoperative variables that were associated with prolonged PLOS and postoperative complications.

Results

A total of 241 patients were included with a mean PLOS of 3.8 days. Prolonged PLOS was significantly associated with preoperative valgus deformity of the knee (OR 4.95, 95%CI 1.56–15.77, P = 0.007), increased serum level of interleukin-6 on postoperative day 1 (OR 1.01, 95%CI 1.00–1.03, P = 0.039), increased visual analogue scale pain score and serum level of C-reactive protein on postoperative day 3 (OR 2.56, 95%CI 1.28–5.13, P = 0.008; OR 1.01, 95%CI 1.00–1.03, P = 0.019), increased day to achieve 90° active knee flexion after surgery (OR 2.19, 95%CI 1.27–3.79, P = 0.005), and postoperative wound complications (OR 8.58, 95%CI 2.10–35.03, P = 0.003) and other minor complications (OR 6.04, 95%CI 2.40–15.19, P < 0.001). Preoperative pulmonary infection (OR 2.75, 95%CI 1.20–6.28, P = 0.016), American Society of Anesthesiologists score 3/4 (OR 2.14, 95%CI 1.01–4.52, P = 0.046), and utilization of catheter after surgery (OR 2.53, 95%CI 1.23–5.19, P = 0.012) were significantly associated with postoperative complications.

Conclusions

Multiple factors were associated with prolonged PLOS and postoperative complications after TKA in the ERAS program. It is important to recognize all the factors to try to maximize the use of medical resources and ultimately optimize the care of our patients.

Background

In the last few years, hospital length of stay (LOS) after primary total knee arthroplasty (TKA) has decreased following the implementation of enhanced recovery after surgery (ERAS) program [1, 2]. This ERAS program is a series of perioperative multimodal strategies to enhance recovery and reduce morbidity [1]. Enhanced-recovery TKA has been shown to be safe and feasible, with similar or better outcomes for the patients [2, 3].

In literature, although the postoperative LOS (PLOS) of TKA has decreased substantially, there are still some risk factors that influence PLOS including older age [4,5,6,7], female [5,6,7], increased body mass index (BMI) [4, 8], American Society of Anesthesiologists (ASA) score 3/4 [5, 6], surgery on Thursday or Friday [6, 9], not ambulating on day of surgery [10,11,12], and postoperative complications [7, 11]. However, some of those studies have investigated prolonged PLOS in the absence of an ERAS program [5, 7], focused only on preoperative patient characteristics [4], not mentioning the definition of prolonged PLOS [4, 9, 11]. Furthermore, factors such as pain level, preoperative knee function, perioperative laboratory examination, surgical factors, and postoperative complications were often rarely mentioned.

The ERAS program of TKA in our hospital was also introduced with the aim to reduce PLOS to a mean of 3 days with equal or higher quality of care. To find starting points for further reduction of the PLOS in the future, we studied a consecutive series of 241 patients admitted for primary TKA to identify all risk factors for prolonged PLOS in combination with the ERAS program. Specifically, the relationships between PLOS, patient demographics, comorbidities, surgical factors, and postoperative complications were assessed. It was hypothesized that several preoperative and postoperative variables are factors that influence PLOS after TKA, such as comorbidities, preoperative knee function, pain level, and postoperative complications.

Methods

We retrospectively reviewed a consecutive series of 241 patients who underwent unilateral elective primary TKA from July 2015 to March 2017 in our hospital. Institutional review board approval was obtained. The primary outcome of the study was PLOS, defined as the number of nights from surgery to discharge because all patients were admitted to the hospital several days before the surgery. Since the standard target for discharge in our practice was postoperative day 3, prolonged hospitalization was defined as PLOS > 3. There were 123 (51.0%) patients who had a PLOS ≤ 3 days and 118 (49.0%) a PLOS > 3 days. All surgeries were performed in an ERAS program and by one experienced surgeon performing > 100 TKAs per year.

ERAS program

All patients had access to the full ERAS program, which included preoperative, perioperative, and postoperative protocols for the delivery of care (Table 1).

Table 1 Strategies of the ERAS program for TKA

Study outcomes

The potential variables associated with PLOS including preoperative patient characteristics, perioperative surgical factors, and postoperative complications were all collected during the inpatient hospital stay. Patient demographics of age, gender, BMI, diagnosis, comorbidities, ASA score, and preoperative knee function including flexion range of motion (ROM), varus or valgus deformity, and hospital for special surgery (HSS) knee score were recorded. Visual analogue scale (VAS) pain score, the serum level of hemoglobin (Hb), albumin, C-reactive protein (CRP), and interleukin-6 (IL-6) were recorded preoperatively and on postoperative days 1 and 3 (POD1, POD3). Perioperative surgical factors included operative time, surgery start time, intravenous fluid volume on day of surgery, total blood loss calculated by gross equation [13], utilization of catheter and drainage tube, and time to ambulate and achieve 90° active knee flexion after surgery. Postoperative complications including wound complications and other minor complications and preoperative LOS were also compared in two groups.

Statistical analysis

Results were summarized using the mean and standard deviation for continuous variables, and counts and percentages for categorical variables. Continuous variables were tested for normality using the Kolmogorov-Smirnov test. Variables determined to be normally distributed were compared using Student’s t test, while variables non-normally distributed were compared using the Kruskal-Wallis non-parametric test. The relationship between each categorical variable and PLOS > 3 days was assessed using the chi-square test. If any expected or observed value was less than or equal to 5, Fisher’s exact test was used. All statistical tests were two-sided, and a P value of ≤ 0.05 was considered statistically significant. Following univariable analyses, significant factors were subjected to a stepwise multivariable logistic regression analysis to determine variables associated with prolonged PLOS using a P value ≤ 0.05 to remain in the model. Odds ratios (OR), corresponding 95% confidence intervals (CI), and P values were computed. IBM SPSS version 19.0 was used for all analyses.

Results

Two-hundred forty-one consecutive primary TKA patients were included in the study (18.3% male, 81.7% female). The mean age was 65.9 years (range 38–89 years) while the mean BMI was 25.5 kg/m2 (range 14.5–35.9 kg/m2). Preoperative diagnosis was osteoarthritis (94.2%) or rheumatoid arthritis of the knee (5.8%). The patient characteristics and preoperative, perioperative, and postoperative variables of the study cohort are outlined in Table 2.

Table 2 The patient characteristics and preoperative, perioperative and postoperative variables by PLOS of patients underwent TKA (N = 241)

The mean PLOS was 3.8 days (range 2–9 days) with a median of 3.0 days. There were 123 (51.0%) patients who had a PLOS ≤ 3 days and 118 (49.0%) a PLOS > 3 days. Table 2 outlines the univariable relationship of each variable with PLOS. Univariable analyses revealed a significant independent association between PLOS and diagnosis, preoperative pulmonary infection, ASA score, preoperative flexion ROM, valgus deformity, HSS score of the knee, VAS pain score preoperatively and on POD3, serum level of CRP and IL-6 on POD1 and 3, surgical start time, total blood loss, utilization of catheter and drainage tube, time to ambulate and achieve 90° active knee flexion after surgery, and wound complications and other minor complications. However, after multivariable adjustment, only preoperative valgus deformity of the knee (OR 4.95, 95%CI 1.56–15.77, P = 0.007), increased serum level of IL-6 on POD1 (OR 1.01, 95%CI 1.00–1.03, P = 0.039), increased VAS pain score on POD3 (OR 2.56, 95%CI 1.28–5.13, P = 0.008), increased serum level of CRP on POD3 (OR 1.01, 95%CI 1.00–1.03, P = 0.019), increased day to achieve 90° active knee flexion after surgery (OR 2.19, 95%CI 1.27–3.79, P = 0.005), wound complications (OR 8.58, 95%CI 2.10–35.03, P = 0.003), and other minor complications (OR 6.04, 95%CI 2.40–15.19, P < 0.001) remained significantly associated with prolonged PLOS in the final multivariable logistic regression model (Table 3).

Table 3 Multivariable logistic regression model for factors of PLOS > 3 days

Thirty patients (12.4%) developed postoperative wound complications after surgery mainly including swelling (53.3%) and exudation (43.3%). Forty-seven patients (19.5%) developed other minor complications, which were predominately narcotic-related adverse drug events such as postoperative nausea and vomiting (PONV, 42.6%), fever (23.4%), hypotension (12.8%), and confusion (8.5%). Eleven patients (4.6%) developed both wound and other minor complications. Preoperative pulmonary infection (OR 2.75, 95%CI 1.20–6.28, P = 0.016), ASA score 3/4 (OR 2.14, 95%CI 1.01–4.52, P = 0.046), and utilization of catheter after surgery (OR 2.53, 95%CI 1.23–5.19, P = 0.012) were significantly associated with postoperative complications (Table 4).

Table 4 Multivariable logistic regression model for risk factors of postoperative complications

Discussion

The most important finding of the present study was that preoperative valgus deformity of the knee, increased serum level of IL-6 on POD1, increased VAS pain score and serum level of CRP on POD3, increased day to achieve 90° active knee flexion after surgery, and postoperative wound complications and other minor complications were associated with prolonged PLOS of TKA. Meanwhile, preoperative pulmonary infection, ASA score 3/4, and utilization of catheter after surgery were statistically significant contributors in postoperative complications. This is a complete and systematic study in which preoperative, perioperative, and postoperative variables were all recorded and analyzed in patients who underwent TKA with the ERAS program. Moreover, factors such as preoperative valgus deformity of the knee and perioperative laboratory examination and pain level were investigated for the first time.

In the present study, the ERAS program focuses on the improvement of surgical techniques and optimization of perioperative management, which mainly contains preoperative patients’ education, nutritional support, minimally invasive operation, perioperative blood management, multimodal pain management, prevention of infection, venous thromboembolism and PONV, optimizing the use of drainage tube, catheter and tourniquet, and functional exercise. After implementation of the ERAS program, the patients who underwent TKA in our hospital could be discharged home on POD3. This study design may explain some of the discrepancies between previous studies without ERAS program and ours. In particular, we did not find an association between PLOS and age [5, 7], gender [5, 7], or BMI [4]; undeniably, this difference may be related to the characteristics of population.

Several studies have explored the association between comorbidities and PLOS [5,6,7, 14]. Winemaker et al. [14] reported that pre-existing cardiac comorbidities and diabetes treated orally were strong predictors of prolonged PLOS. However, the existence of heart disease or diabetes preoperatively differs from the control level of the diseases, which explain the reverse finding in the current study to some extent. ASA score, which is indicative of comorbidity, has been demonstrated to be predictive of prolonged hospital stay [5, 6]. Some preoperative comorbidities have been established to be predictive complications which are in turn linked to prolonged PLOS [5]. This is in accordance with our finding that patients with an ASA score 3/4 and preoperative pulmonary infection were 2.14 and 2.75 times more likely to have a postoperative stay > 3 days.

In the present study, preoperative knee function was associated with prolonged PLOS. This is in accordance with other studies [3, 15] on PLOS after TKA, with ERAS program as well as without ERAS program. Moreover, in addition to find that preoperative valgus deformity of the knee was an independent risk factor of prolonged PLOS, we observed that as the day to achieve 90° active knee flexion after surgery increases, the patients were more likely to have a prolonged PLOS. Previous studies rarely show these two variables as risk factors for PLOS, but instead they identified preoperative ROM of the knee or the use of walking aids [3, 15]. Mobilization as early as 4 to 6 h after surgery can help achieve functional recovery, reduce hospital stays, and improve functional outcomes [16].

Halawi et al. [17] retrospectively reviewed 112 consecutive patients who underwent total hip arthroplasty and found a significant association between PLOS and preoperative pain level. In this study, we analyzed the relationship between VAS pain score preoperatively and on POD1, POD3, and PLOS of TKA. Interestingly, we found that increased VAS pain score on POD3 was significantly associated with prolonged PLOS while preoperative VAS pain score was not. Postoperative pain remains an important barrier to early discharge of TKAs, and it has a major influence on the ability of the patient to resume normal activities at home [18]. Effective analgesia in the immediate postoperative phase is important to allow the patient to exercise and regain mobility, facilitating recovery while decreasing the PLOS.

Reducing surgical trauma is a target of TKA with the ERAS program; this could be evaluated by postoperative inflammation makers such as CRP and IL-6 level in serum. As Windisch et al. [19] reported, CRP increased within a few hours after TKA, with a maximum value between postoperative day 2 and POD3, then falling again to the normal level. This is consistent with the finding by Xie et al. [20] in which IL-6 level reached maximum on POD1. Therefore, we investigated the relationship between serum level of CRP and IL-6 on POD1, POD3, and PLOS of TKA. After a stepwise multivariable logistic regression analysis, we found that increased serum level of CRP on POD3 and increased serum level of IL-6 on POD1 were risk factors of prolonged PLOS. This is essential to monitor CRP and IL-6 in serum after TKA, although they were not strong predictors.

Postoperative complication as a risk factor for prolonged PLOS had been found in previous studies [7, 11, 21, 22]. However, in these studies, few had mentioned specific complications [7] or rarely investigated entire postoperative adverse events [11]. In our study, we found that patients who sustained wound complications or other minor complications were 8.58 and 6.04 times more likely to have a postoperative stay > 3 days compared to patients with no complication. Swelling and exudation were mainly wound complications, while other minor complications mainly included PONV, fever, hypotension, and confusion. These finding were consistent with findings in the literature [11, 22]. Furthermore, our study also found that preoperative pulmonary infection, ASA score 3/4, and utilization of catheter after surgery were significantly associated with postoperative complications in the multivariable logistic regression model. Therefore, every effort should be done to make further optimization on the patient’s medical comorbidities and reduce the utilization of catheter after surgery in order to have more favorable outcomes following TKA and decrease postoperative complications as well as PLOS.

There are several limitations to our study worth mentioning. Firstly, it was a retrospective chart review from a single tertiary-care teaching institution, while a prospective study might have provided us with additional information to predict the PLOS better. Moreover, the sample was relatively small in that a valid conclusion regarding age, gender, and BMI could not be made. Secondly, the need for blood transfusion may influence the PLOS of TKA [12, 23]. In the present study, this was not taken into account, since there was no patient who needed blood transfusion. Thirdly, we did not investigate the relationship between discharge destination and PLOS, because of that, every patient could be discharged home if they reached the discharge criteria in our hospital. Lastly, 30- and 90-day readmission was not assessed in the present study. Ricciardi et al. [24] demonstrated that short PLOS was a risk factor for 30- and 90-day readmission after TKA, while Sutton et al. [25] thought that early discharge was not an independent risk factor for 30-day major complications or readmissions following TKA. Therefore, further research should investigate whether early discharge influences the readmission rate of TKA with the ERAS program.

Conclusions

In conclusion, preoperative valgus deformity of the knee, increased serum level of IL-6 on POD1, increased VAS pain score, and serum level of CRP on POD3, increased day to achieve 90° active knee flexion after surgery, and postoperative wound complications and other minor complications were associated with prolonged PLOS in the ERAS program for primary TKA. Preoperative pulmonary infection, ASA score 3/4, and utilization of catheter after surgery were statistically significant contributors in postoperative complications. It is important to recognize all the factors that associated with prolonged PLOS to try to maximize the use of medical resources and ultimately optimize the care of our patients.

Abbreviations

ASA:

American Society of Anesthesiologists

BMI:

Body mass index

CI:

Confidence intervals

CRP:

C-reactive protein

ERAS:

Enhanced recovery after surgery

Hb:

Hemoglobin

HSS:

Hospital for special surgery

IL-6:

Interleukin-6

IV-TXA:

Intravenous TXA

LOS:

Length of stay

NSAIDs:

Nonsteroidal anti-inflammatory drugs

OR:

Odds ratios

PLOS:

Postoperative LOS

POD1:

Postoperative day 1

POD3:

Postoperative day 3

PONV:

Postoperative nausea and vomiting

ROM:

Range of motion

TKA:

Total knee arthroplasty

TXA:

Tranexamic acid

VAS:

Visual analogue scale

References

  1. Kehlet H. Fast-track hip and knee arthroplasty. Lancet. 2013;381(9878):1600–2. https://doi.org/10.1016/s0140-6736(13)61003-x.

    Article  PubMed  Google Scholar 

  2. Auyong DB, Allen CJ, Pahang JA, Clabeaux JJ, MacDonald KM, Hanson NA. Reduced length of hospitalization in primary total knee arthroplasty patients using an updated enhanced recovery after orthopedic surgery (ERAS) pathway. J Arthroplast. 2015;30(10):1705–9. https://doi.org/10.1016/j.arth.2015.05.007.

    Article  Google Scholar 

  3. Jorgensen CC, Kehlet H. Role of patient characteristics for fast-track hip and knee arthroplasty. Br J Anaesth. 2013;110(6):972–80. https://doi.org/10.1093/bja/aes505.

    Article  CAS  PubMed  Google Scholar 

  4. Brock TM, Baker PN, Rushton S, Bardgett M, Deehan D. Length of stay and its impact upon functional outcomes following lower limb arthroplasty. Knee Surg Sports Traumatol Arthrosc. 2015; https://doi.org/10.1007/s00167-015-3914-z.

  5. Inneh IA. The combined influence of sociodemographic, preoperative comorbid and intraoperative factors on longer length of stay after elective primary total knee arthroplasty. J Arthroplast. 2015;30(11):1883–6. https://doi.org/10.1016/j.arth.2015.05.032.

    Article  Google Scholar 

  6. Mathijssen NM, Verburg H, van Leeuwen CC, Molenaar TL, Hannink G. Factors influencing length of hospital stay after primary total knee arthroplasty in a fast-track setting. Knee Surg Sports Traumatol Arthrosc. 2016;24(8):2692–6. https://doi.org/10.1007/s00167-015-3932-x.

    Article  PubMed  Google Scholar 

  7. El Bitar YF, Illingworth KD, Scaife SL, Horberg JV, Saleh KJ. Hospital length of stay following primary total knee arthroplasty: data from the nationwide inpatient sample database. J Arthroplast. 2015;30(10):1710–5. https://doi.org/10.1016/j.arth.2015.05.003.

    Article  Google Scholar 

  8. Husted H, Jorgensen CC, Gromov K, Kehlet H. Does BMI influence hospital stay and morbidity after fast-track hip and knee arthroplasty? Acta Orthop. 2016;87(5):466–72. https://doi.org/10.1080/17453674.2016.1203477.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Newman JM, Szubski CR, Barsoum WK, Higuera CA, Molloy RM, Murray TG. Day of surgery affects length of stay and charges in primary total hip and knee arthroplasty. J Arthroplast. 2017;32(1):11–5. https://doi.org/10.1016/j.arth.2016.06.032.

    Article  Google Scholar 

  10. Sibia US, King PJ, MacDonald JH. Who is not a candidate for a 1-day hospital-based total knee arthroplasty? J Arthroplast. 2017;32(1):16–9. https://doi.org/10.1016/j.arth.2016.06.055.

    Article  Google Scholar 

  11. van den Belt L, van Essen P, Heesterbeek PJ, Defoort KC. Predictive factors of length of hospital stay after primary total knee arthroplasty. Knee Surg Sports Traumatol Arthrosc. 2015;23(6):1856–62. https://doi.org/10.1007/s00167-014-3313-x.

    Article  PubMed  Google Scholar 

  12. Husted H, Holm G, Jacobsen S. Predictors of length of stay and patient satisfaction after hip and knee replacement surgery: fast-track experience in 712 patients. Acta Orthop. 2008;79(2):168–73. https://doi.org/10.1080/17453670710014941.

    Article  PubMed  Google Scholar 

  13. Gross JB. Estimating allowable blood loss: corrected for dilution. Anesthesiology. 1983;58(3):277–80.

    Article  CAS  PubMed  Google Scholar 

  14. Winemaker M, Petruccelli D, Kabali C, de Beer J. Not all total joint replacement patients are created equal: preoperative factors and length of stay in hospital. Can J Surg. 2015;58(3):160–6.

    Article  PubMed  PubMed Central  Google Scholar 

  15. Ong PH, Pua YH. A prediction model for length of stay after total and unicompartmental knee replacement. Bone Joint J. 2013;95-B(11):1490–6. https://doi.org/10.1302/0301-620x.95b11.31193.

    Article  PubMed  Google Scholar 

  16. Ibrahim MS, Khan MA, Nizam I, Haddad FS. Peri-operative interventions producing better functional outcomes and enhanced recovery following total hip and knee arthroplasty: an evidence-based review. BMC Med. 2013;11:37. https://doi.org/10.1186/1741-7015-11-37.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Halawi MJ, Vovos TJ, Green CL, Wellman SS, Attarian DE, Bolognesi MP. Preoperative pain level and patient expectation predict hospital length of stay after total hip arthroplasty. J Arthroplast. 2015;30(4):555–8. https://doi.org/10.1016/j.arth.2014.10.033.

    Article  Google Scholar 

  18. Grosu I, Lavand’homme P, Thienpont E. Pain after knee arthroplasty: an unresolved issue. Knee Surg Sports Traumatol Arthrosc. 2014;22(8):1744–58. https://doi.org/10.1007/s00167-013-2750-2.

    Article  PubMed  Google Scholar 

  19. Windisch C, Brodt S, Roehner E, Matziolis G. The C-reactive protein level after total knee arthroplasty is gender specific. Knee Surg Sports Traumatol Arthrosc. 2016;24(10):3163–7. https://doi.org/10.1007/s00167-016-4289-5.

    Article  PubMed  Google Scholar 

  20. Xie J, Ma J, Yao H, Yue C, Pei F. Multiple boluses of intravenous tranexamic acid to reduce hidden blood loss after primary total knee arthroplasty without tourniquet: a randomized clinical trial. J Arthroplast. 2016;31(11):2458–64. https://doi.org/10.1016/j.arth.2016.04.034.

    Article  Google Scholar 

  21. Culler SD, Jevsevar DS, Shea KG, Wright KK, Simon AW. The incremental hospital cost and length-of-stay associated with treating adverse events among Medicare beneficiaries undergoing TKA. J Arthroplast. 2015;30(1):19–25. https://doi.org/10.1016/j.arth.2014.08.023.

    Article  Google Scholar 

  22. Husted H, Lunn TH, Troelsen A, Gaarn-Larsen L, Kristensen BB, Kehlet H. Why still in hospital after fast-track hip and knee arthroplasty? Acta Orthop. 2011;82(6):679–84. https://doi.org/10.3109/17453674.2011.636682.

    Article  PubMed  PubMed Central  Google Scholar 

  23. O'Malley NT, Fleming FJ, Gunzler DD, Messing SP, Kates SL. Factors independently associated with complications and length of stay after hip arthroplasty: analysis of the National Surgical Quality Improvement Program. J Arthroplast. 2012;27(10):1832–7. https://doi.org/10.1016/j.arth.2012.04.025.

    Article  Google Scholar 

  24. Ricciardi BF, Oi KK, Daines SB, Lee YY, Joseph AD, Westrich GH. Patient and perioperative variables affecting 30-day readmission for surgical complications after hip and knee arthroplasties: a matched cohort study. J Arthroplast. 2017;32(4):1074–9. https://doi.org/10.1016/j.arth.2016.10.019.

    Article  Google Scholar 

  25. Sutton JC 3rd, Antoniou J, Epure LM, Huk OL, Zukor DJ, Bergeron SG. Hospital discharge within 2 days following total hip or knee arthroplasty does not increase major-complication and readmission rates. J Bone Joint Surg Am. 2016;98(17):1419–28. https://doi.org/10.2106/jbjs.15.01109.

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors sincerely acknowledge the entire staff of the Department of Orthopaedics, West China Hospital, who offered assistance throughout the course of this study.

Funding

This study was funded by the National Health and Family Planning Commission of the People’s Republic of China (CN) program (201302007).

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Please contact the author for data requests.

Author’s contributions

SYZ and QH reviewed the database, conceived the design of the study, and prepared the manuscript. SYZ and JWX collected the data and carried out the statistical analysis. BX and GRC assisted with the statistical analysis and revision of the manuscript. FXP initiated the study, performed the surgery, obtained IRB approval, and oversaw the engineering efforts. All authors read and approved the final manuscript.

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Correspondence to Fuxing Pei.

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The study protocol was approved by the Institutional Review Board (IRB) of West China Medical Center of Sichuan University (2012–268). For this type of study, formal consent is not required.

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Zhang, S., Huang, Q., Xie, J. et al. Factors influencing postoperative length of stay in an enhanced recovery after surgery program for primary total knee arthroplasty. J Orthop Surg Res 13, 29 (2018). https://doi.org/10.1186/s13018-018-0729-x

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