Skip to main content

Low serum calcium is associated with perioperative blood loss and transfusion rate in elderly patients with hip fracture: a retrospective study

Abstract

Background

To investigate whether hypocalcemia influenced total blood loss and transfusion rate in elderly patients with hip fracture.

Methods

From our hip fracture database, patients were consecutively included between January 2014 and December 2020. Serum calcium level was corrected for albumin concentration, and hypocalcaemia was defined as corrected calcium < 2.11 mmol/L. Hemoglobin and hematocrit were obtained on admission day and postoperative day, and blood transfusions were collected. According to the combination formulas of Nadler and Gross, the total blood loss of each patient was calculated. Risk factors were further analyzed by multivariate linear regression.

Results

A total of 583 consecutive elderly hip fracture patients were finally included (mean age 79.32 ± 8.18 years, 68.61% female). On admission, the mean serum corrected calcium level was 2.17 ± 0.14 mmol/L, and the prevalence of hypocalcemia was 33.11% (95% CI: 29.42–37.02). When comparing patients with normal calcium, hypocalcemia patients exhibited a higher blood transfusion rate (7.69% vs 16.06%, P < 0.05), and significantly larger total blood loss (607.86 ± 497.07 ml vs 719.18 ± 569.98 ml, P < 0.05). Multivariate linear regression analysis showed that male, anemia on admission, time from injury to hospital, intertrochanteric fracture, blood transfusion and hypocalcemia were independently associated with increased total blood loss (P < 0.05).

Conclusion

Hypocalcemia is common in elderly patients with hip fracture, and significantly associated with more total blood loss and blood transfusion. The other risk factors for increased total blood loss are male, anemia on admission, time from injury to hospital, intertrochanteric fracture, and blood transfusion.

Level of evidence

Level III, retrospective study.

Peer Review reports

Background

With an increasing aging population, hip fractures become a major public health issue, along with high morbidity, disability, mortality, and social costs [1, 2]. Even more, it is estimated that there will be 4.5 million hip fractures worldwide by the year 2050, and 1.3 million cases will be in China [3, 4]. After the initial injury, hip fracture patients may suffer from a large amount of total blood loss, which vary from 859 ml to 1208 ml in patients with femur neck fracture [5,6,7], and 406 ml to 1269 ml in patients with intertrochanteric fracture [6, 8,9,10,11]. Similarly, a prospective study found that the blood loss can reach up to 1013 ml even prior to the surgery [12].

Blood loss in elderly patients makes them prone to perioperative anemia due to the presence of comorbidities and limited physiological reserve [6]. Recently, an increasing number of studies have confirmed that low hemoglobin or anemia on admission was significantly associated with increased mortality, postoperative complications, and poorer physical function [13,14,15]. As we known, blood transfusion is the most commonly used intervention to correct anemia, but causes more adverse events in elderly patients [16].

Serum calcium as the coagulation factor IV, participates in the regulation of coagulation cascade [17]. Hypocalcemia is a common electrolyte disorder in hospitalized patients, nearly 56.2% in trauma patients [18]. Many studies have already investigated its harmful effect, and found that hypocalcemia was associated with more bleeding or blood transfusion in patients with intracerebral hemorrhage [19], postpartum hemorrhage [20], upper gastrointestinal bleeding [21], shocked trauma [22], and total knee arthroplasty [23].

Several studies indicated that the prevalence of hypocalcemia was common in elderly orthopedic patients [23,24,25]. For this reason, we hypothesized that low serum calcium on admission may led to more perioperative blood loss. To our knowledge, there is no available literature regarding this issue in hip fracture patients undergoing surgery. Therefore, we aimed to close this gap and investigate whether serum calcium influenced total blood loss and transfusion rate in these patients.

Methods

Study design and population

We performed a retrospective study using data from our hip fracture database, which has been described in detail previously [26]. From January 2014 to December 2020, patients were enrolled consecutively into the database when the following criteria were met: (1) confirmed diagnosis of hip fracture, but not pathological fracture; (2) age ≥ 60 years; (3) caused by low-energy fall from a standing height or less; (4) fresh fracture less than 3 weeks. In this study, patients without surgical treatment (n = 327), blood routine test within postoperative 3 days (n = 115), as well as admission calcium, hemoglobin (Hb), hematocrit (Hct) data (n = 19) were excluded (Fig. 1). The study protocol was approved by the Institutional Ethics Committee at Deyang People’s Hospital (IRD number 2021–04-019-K01). Permission to waive the informed consent was obtained from the institutional review board for this observational retrospective study.

Fig. 1
figure 1

Flow chart of patient inclusion

Data collection procedures

The following data were extracted from this hip fracture database, including demographics (age, sex, height, weight), medical history (hypertension, diabetes mellitus), fracture information (time from injury to hospital, hip fracture type), and laboratory tests (calcium, albumin, Hb, Hct). Also, charlson comorbidity index (CCI) was calculated for each patient based on 17 comorbidities, and categorized as none (CCI = 0), low (CCI = 1), or moderate/severe (CCI ≥ 2) [27]. Body mass index (BMI) was calculated as BMI = Weight (kg)/Height (m)2. Time from injury to hospital was defined as the interval between the injury date and the subsequent admission date. Hip fracture type was confirmed by X-ray and/or computed tomography (CT), and then classified as femur neck or intertrochanteric fracture. According to the WHO criteria, anemia was defined as Hb < 130 g/dl for men and < 120 g/dl for women. Owing to the influence of albumin concentration, serum calcium was corrected using the following formula: corrected calcium = measured serum calcium (mmol/L) + 0.02 × [40.0 – albumin (g/L)] [28]. Using the normal reference range in our hospital (2.11–2.52 mmol/L), hypocalcemia was defined as corrected calcium < 2.11 mmol/L, and patients were further grouped into normal calcium group and hypocalcemia group.

Moreover, we collected the requirement of blood transfusion and transfusion volume from medical records. Blood transfusion at our institution was performed only when an absolute Hb < 80 g/L independent of signs or symptoms of anemia, or Hb < 90 g/L for symptomatic patients (extreme weakness, chest pain, extreme paleness, or major bleeding) with destabilizing vital signs (heart rate > 100 beats/min or systolic blood pressure < 90 mmHg).

Total blood loss calculation

The patient blood volume (BV) was estimated according to the Nadler formula [29]: BV (L) for men = height (m)3 × 0.367 + weight (Kg) × 0.032 + 0.604, BV (L) for women = height (m)3 × 0.356 + weight (Kg) × 0.033 + 0.183. The total blood loss (TBL) was calculated according to the Gross formula [30]: TBL (ml) = BV (L) × (Hctadm – Hctpost)/Hctave × 1000, where Hctadm is the initial admission Hct, Hctpost is Hct within 3 days after surgery, and Hctave is the average of Hctadm and Hctpost. When transfusion was performed from the time of admission to the data of postoperative blood routine test, TBL (ml) = BV (L) × (Hctadm – Hctpost)/Hctave × 1000 + blood transfusion (ml). A unit of red blood cell transfusion is approximately 200 ml.

Statistical analysis

Continuous variables were described as mean ± standard deviation (SD), and analyzed with Student’s t-test, while categorical variables were expressed as frequency (percentage), and compared with the chi-squared test. Linear regression analysis was used to test the correlation of various clinical factors with perioperative total blood loss. Variables with P < 0.1 were included in multivariate linear regression analysis to identify the independent risk factors associated with total blood loss. All reported P values are two-sided, and P < 0.05 were considered statistically significant. All analyses were performed using JMP Pro software (version 16.0; SAS Institute Inc., Cary, NC, USA).

Results

Patient characteristics

A total of 583 consecutive elderly patients with hip fracture were included in this study. The baseline characteristics are shown in Table 1. On admission, the mean corrected calcium was 2.17 ± 0.14 mmol/L, and the prevalence of hypocalcemia was 33.11% (95% CI: 29.42–37.02). When comparing patients with normal calcium, hypocalcemia patients had a higher incidence of anemia (79.79% vs 67.95%, P < 0.05). Apart from this, no significant differences were observed between the two groups.

Table 1 Baseline characteristics according to serum calcium

Perioperative blood loss

The perioperative Hb, Hct, transfusion and blood loss data are presented in Table 2. There were significant differences in admission and postoperative Hb and Hct levels between the two groups (P < 0.05). Moreover, the drop in Hb for hypocalcemia and normal calcium patients were 17.25 ± 15.16 g/L and 12.24 ± 17.39 g/L, and the difference was statistically significant (P < 0.05). Likewise, the difference in Hct was significantly larger in hypocalcemia group compared with normal calcium group (5.22 ± 4.52% vs 3.72 ± 5.40%, P < 0.05). Also, the blood transfusion rate in hypocalcemia group was higher than normal calcium group (16.06% vs 7.69%, P < 0.05), but transfusion volume difference did not reach significance (P = 0.533). The mean total blood loss for hypocalcemia group was 719.18 ± 569.98 ml, which was significantly larger than normal calcium group (607.86 ± 497.07 ml, P < 0.05).

Table 2 Perioperative hemoglobin, hematocrit, transfusion and blood loss according to serum calcium

Factors influencing total blood loss

Linear regression analysis showed that BMI, anemia on admission, time from injury to hospital, hip fracture type, blood transfusion and serum calcium were associated with total blood loss (Table 3). In the multivariate linear regression analysis (Table 4), factors that were independently associated with increased total blood loss were male, anemia on admission, time from injury to hospital, intertrochanteric fracture, blood transfusion and hypocalcemia (P < 0.05).

Table 3 Linear regression analysis of factors associated with total blood loss
Table 4 Multivariate linear regression analysis of factors associated with total blood loss

Discussion

In this study, the prevalence of hypocalcemia was 33.11% in hip fracture patients, which was similar to other studies in elderly orthopedic patients [23,24,25]. Similarly, almost 27.72% of hospital patients may experience hypocalcemia, and the incidence was the highest in patients over 65 years [31]. Regarding the harm of hypocalcemia, a recent review summarized the relationships between preoperative hypocalcemia and postoperative adverse complications in elderly patients [32], and another systematic review found admission hypocalcemia was associated with increased mortality in trauma patients [18]. These findings suggest that clinicians should pay attention to hypocalcemia because of life-threatening consequence [31].

Beyond those mentioned above, serum calcium is a key component of coagulation cascade. Hence, we hypothesized that low serum calcium may led to more perioperative blood loss. As expected, we found that hypocalcemia patients had more total blood loss in elderly patients with hip fracture, along with larger differences in Hb and Hct levels from admission to postoperative day. Even after adjusting for potential confounding factors, hypocalcemia still played an independent role in blood loss, and led to an almost 50.338 ml increase in total blood loss. Consistent with this finding, Morotti et al. [19] reported that the presence of hypocalcemia on admission was indeed associated with the extent of bleeding in patients with intracerebral hemorrhage. This effect was also observed in patients with postpartum hemorrhage [20], and total knee arthroplasty [23]. For this reason, trials are needed to assess whether correction of hypocalcemia will lead to decreased blood loss [20, 21].

In this study, the rate of blood transfusion was 10.46% (95% CI: 8.23–13.21), which was lower than report of Nikolaou et al. (63.47%) [6], Ohmori et al. (32.67%) [33], and Guo et al. (29.7%) [5] in hip fracture patients. The reason might be that the blood loss continue until several days after surgery [9], but this study only analyzed the blood transfusions from admission to the time of blood routine test. Consistent with the finding of total blood loss, hip fracture patients with hypocalcemia exhibited a higher blood transfusion rate, although transfusion volume difference did not reach significance. Also, trauma patients [22], and upper gastrointestinal bleeding patients [21] with hypocalcemia were most likely to receive a blood transfusion.

Moreover, we found some other factors associated with increased total blood loss, including male, time from injury to hospital, intertrochanteric fracture, and blood transfusion, which were consistent with previous studies [5, 10, 11]. In this study, anemia on admission was identified as another independent risk factor for total blood loss. Similarly, Miguel et al. [34] showed that anemia on admission was associated with more severe intracerebral hemorrhage. Also, low Hb level was associated with blood transfusion in elderly patients with hip fracture [13], this may be the reason for the increased total blood loss.

However, this study has some limitations. First, as this was a retrospective study, we were not able to collect sufficient information on history of osteoporosis and anti-osteoporotic agents, which may affect serum calcium level. In particular, we also did not obtain the anticoagulant and antiplatelet treatment. Yet, a recent study found antiplatelet treatment did not affect perioperative blood loss in patients with hip fracture [33]. Second, it was a single-center study, and the sample size was small. Therefore, multi-center and larger-scale studies are needed to confirm our results. Third, we only used serum albumin corrected calcium instead of ionized calcium to evaluate the true level of calcium, which may be inaccurate in the presence of protein and pH imbalances. Finally, the fluid volume administered perioperatively was not controlled, and this may affect the calculation of the total blood loss. Likewise, the formula to estimate blood loss does not represent the accurate amount of blood loss [33].

Conclusion

Hypocalcemia is common in elderly patients with hip fracture, and significantly associated with more total blood loss and blood transfusion. The other risk factors for increased total blood loss are male, anemia on admission, time from injury to hospital, intertrochanteric fracture, and blood transfusion.

Availability of data and materials

The data used during the current study are available from the corresponding author on reasonable request.

Abbreviations

Hb:

Hemoglobin

Hct:

Hematocrit

CCI:

Charlson comorbidity index

BMI:

Body mass index

CT:

Computed tomography

BV:

Blood volume

TBL:

Total blood loss

SD:

Standard deviation

References

  1. Zhang C, Feng J, Wang S, Gao P, Xu L, Zhu J, et al. Incidence of and trends in hip fracture among adults in urban China: A nationwide retrospective cohort study. PLoS Med. 2020;17(8):e1003180.

    Article  Google Scholar 

  2. Shigemoto K, Sawaguchi T, Horii T, Goshima K, Iwai S, Higashikawa T, et al. Multidisciplinary care model for geriatric patients with hip fracture in Japan: 5-year experience. Arch Orthop Trauma Surg. 2021. https://doi.org/10.1007/s00402-021-03933-w.

  3. Gong X, Li X, Zhang L, Center J, Bliuc D, Shi Y, et al. Current status and distribution of hip fractures among older adults in China. Osteoporos Int. 2021. https://doi.org/10.1007/s00198-021-05849-y.

  4. Veronese N, Maggi S. Epidemiology and social costs of hip fracture. Injury. 2018;49(8):1458–60.

    Article  Google Scholar 

  5. Guo W, Wang J, Zhang W, Wang W, Xu D, Luo P. Hidden blood loss and its risk factors after hip hemiarthroplasty for displaced femoral neck fractures: a cross-sectional study. Clin Interv Aging. 2018;13:1639–45.

    Article  Google Scholar 

  6. Nikolaou V, Masouros P, Floros T, Chronopoulos E, Skertsou M, Babis G. Single dose of tranexamic acid effectively reduces blood loss and transfusion rates in elderly patients undergoing surgery for hip fracture: a randomized controlled trial. Bone Joint J. 2021;3:442–8.

    Article  Google Scholar 

  7. Xu K, Anwaier D, He R, Zhang X, Qin S, Wang G, et al. Hidden blood loss after hip hemiarthroplasty using the superPATH approach: A retrospective study. Injury. 2019;50(12):2282–6.

    Article  Google Scholar 

  8. Tian S, Li H, Liu M, Zhang Y, Peng A. Dynamic analysis of perioperative hidden blood loss in intertrochanteric fractures. Clin Appl Thromb Hemost. 2019;25:1076029618823279.

    Article  CAS  Google Scholar 

  9. Luo X, He S, Li Z, Li Q. Quantification and influencing factors of perioperative hidden blood loss during intramedullary fixation for intertrochanteric fractures in the elderly. Arch Orthop Trauma Surg. 2020;140(10):1339–48.

    Article  Google Scholar 

  10. Tüzün H, Bilekli A, Erşen Ö. The factors that affect blood loss in intertrochanteric fractures treated with proximal femoral nail in the elderly. Eur J Trauma Emerg Surg. 2021. https://doi.org/10.1007/s00068-021-01670-8.

  11. Guo J, Zhang Y, Hou Z. Intramedullary fixation does not cause a large amount of hidden blood loss in elderly patients with intertrochanteric fractures. Clin Interv Aging. 2021;16:475–86.

    Article  Google Scholar 

  12. Wu J, Liu P, Ge W, Cai M. A prospective study about the preoperative total blood loss in older people with hip fracture. Clin Interv Aging. 2016;11:1539–43.

    Article  Google Scholar 

  13. Yombi J, Putineanu D, Cornu O, Lavand'homme P, Cornette P, Castanares-Zapatero D. Low haemoglobin at admission is associated with mortality after hip fractures in elderly patients. Bone Joint J. 2019;9:1122–8.

    Article  Google Scholar 

  14. Zhang Z, Pereira S, Luo M, Matheson E. Evaluation of blood biomarkers associated with risk of malnutrition in older adults: A systematic review and Meta-analysis. Nutrients. 2017;9(8). https://doi.org/10.3390/nu9080829.

  15. Endres H, Wedding U, Pittrow D, Thiem U, Trampisch H, Diehm C. Prevalence of anemia in elderly patients in primary care: impact on 5-year mortality risk and differences between men and women. Curr Med Res Opin. 2009;25(5):1143–58.

    Article  Google Scholar 

  16. Boureau A, de Decker L. Blood transfusion in older patients. Transfus Clin Biol. 2019;26(3):160–3.

    Article  Google Scholar 

  17. Wray J, Bridwell R, Schauer S, Shackelford S, Bebarta V, Wright F, et al. The diamond of death: Hypocalcemia in trauma and resuscitation. Am J Emerg Med. 2021;41:104–9.

    Article  Google Scholar 

  18. Vasudeva M, Mathew J, Groombridge C, Tee J, Johnny C, Maini A, et al. Hypocalcemia in trauma patients: A systematic review. J Trauma Acute Care Surg. 2021;90(2):396–402.

    Article  CAS  Google Scholar 

  19. Morotti A, Charidimou A, Phuah C, Jessel M, Schwab K, Ayres A, et al. Association between serum calcium level and extent of bleeding in patients with Intracerebral hemorrhage. JAMA Neurol. 2016;73(11):1285–90.

    Article  Google Scholar 

  20. Epstein D, Solomon N, Korytny A, Marcusohn E, Freund Y, Avrahami R, et al. Association between ionised calcium and severity of postpartum haemorrhage: a retrospective cohort study. Br J Anaesth. 2021;126(5):1022–8.

    Article  CAS  Google Scholar 

  21. Korytny A, Klein A, Marcusohn E, Freund Y, Neuberger A, Raz A, et al. Hypocalcemia is associated with adverse clinical course in patients with upper gastrointestinal bleeding. Intern Emerg Med. 2021. https://doi.org/10.1007/s11739-021-02671-6.

  22. Vasudeva M, Mathew J, Fitzgerald M, Cheung Z, Mitra B. Hypocalcaemia and traumatic coagulopathy: an observational analysis. Vox Sang. 2020;115(2):189–95.

    Article  CAS  Google Scholar 

  23. Gai P, Sun H, Sui L, Wang G. Hypocalcaemia after Total knee Arthroplasty and its clinical significance. Anticancer Res. 2016;36(3):1309–11.

    CAS  PubMed  Google Scholar 

  24. Wang L, Xu D, Wei X, Chang H, Xu G. Electrolyte disorders and aging: risk factors for delirium in patients undergoing orthopedic surgeries. BMC Psychiatry. 2016;16(1):418.

    Article  Google Scholar 

  25. Mao Y, Zheng Y, Li Y, Wang G, Sun J, Cui X. Factors associated with perioperative serum calcium levels in percutaneous Kyphoplasty for osteoporotic vertebral compression fracture: A prospective clinical study. Med Sci Monit. 2019;25:1800–5.

    Article  CAS  Google Scholar 

  26. Wang Z, Jiang W, Chen X, Yang L, Wang H, Liu Y. Systemic immune-inflammation index independently predicts poor survival of older adults with hip fracture: a prospective cohort study. BMC Geriatr. 2021;21(1):155.

    Article  Google Scholar 

  27. Riska L, B, Forsén L, Omsland T, Søgaard A, Meyer H, Holvik K. Does the Association of Comorbidity with 1-year mortality after hip fracture differ according to gender? The Norwegian epidemiologic osteoporosis studies (NOREPOS). J Am Geriatr Soc. 2018;66(3):553–8.

    Article  Google Scholar 

  28. Pepe J, Colangelo L, Biamonte F, Sonato C, Danese V, Cecchetti V, et al. Diagnosis and management of hypocalcemia. Endocrine. 2020;69(3):485–95.

    Article  CAS  Google Scholar 

  29. Nadler S, Hidalgo J, Bloch T. Prediction of blood volume in normal human adults. Surgery. 1962;51(2):224–32.

    PubMed  Google Scholar 

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

    Article  CAS  Google Scholar 

  31. Catalano A, Chilà D, Bellone F, Nicocia G, Martino G, Loddo I, et al. Incidence of hypocalcemia and hypercalcemia in hospitalized patients: is it changing? J Clin Transl Endocrinol. 2018;13:9–13.

    CAS  PubMed  PubMed Central  Google Scholar 

  32. Lee K, Lee I. Preoperative laboratory testing in elderly patients. Curr Opin Anaesthesiol. 2021;34(4):409–14.

    CAS  PubMed  PubMed Central  Google Scholar 

  33. Ohmori T, Toda K, Kanazawa T, Tada K, Yagata Y, Ito Y. Retrospective high volume comparative study suggests that patients on aspirin could have immediate surgery for hip fractures without significant blood loss. Int Orthop. 2021;45(3):543–9.

    Article  Google Scholar 

  34. Bussière M, Gupta M, Sharma M, Dowlatshahi D, Fang J, Dhar R. Anaemia on admission is associated with more severe intracerebral haemorrhage and worse outcomes. Int J Stroke. 2015;10(3):382–7.

    Article  Google Scholar 

Download references

Acknowledgements

We would like to thank several nurses from the Department of Orthopedic Surgery in Deyang People’s Hospital, for the help with the data inspection.

Funding

This study was supported by Sichuan Science and Technology Program (No. 2021JDR0337), and Deyang Science and Technology Bureau Project (No. 2019SZ125).

Author information

Authors and Affiliations

Authors

Contributions

Zhicong Wang: Conceptualization, Methodology, Formal analysis, Software, Visualization, Funding acquisition, Writing-original draft, Project administration. Xi Chen: Methodology, Formal analysis, Writing-review & editing, Project administration. Yan Chen: Methodology, Formal analysis, Writing-review & editing, Project administration. Ling Yang: Conceptualization, Funding acquisition, Investigation, Supervision, Validation. Hong Wang: Conceptualization, Investigation, Supervision, Validation. Wei Jiang: Conceptualization, Investigation, Supervision, Validation. Shuping Liu: Conceptualization, Methodology, Writing-review & editing, Project administration, Supervision, Validation. All authors read and approved the final manuscript. Yuehong Liu: Conceptualization, Methodology, Writing-review & editing, Project administration, Supervision, Validation. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Shuping Liu or Yuehong Liu.

Ethics declarations

Ethics approval and consent to participate

The study protocol was approved by the Institutional Ethics Committee at Deyang People’s Hospital (IRD number 2021–04-019-K01). Permission to waive the informed consent was obtained from the institutional review board for this observational retrospective study. This study was performed in accordance with the ethical standards in the 1964 Declaration of Helsinki.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

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

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, Z., Chen, X., Chen, Y. et al. Low serum calcium is associated with perioperative blood loss and transfusion rate in elderly patients with hip fracture: a retrospective study. BMC Musculoskelet Disord 22, 1025 (2021). https://doi.org/10.1186/s12891-021-04914-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12891-021-04914-1

Keywords