Skip to main content
  • Research article
  • Open access
  • Published:

Anemia and formation of deep vein thrombosis before operation in patients with knee osteoarthritis: a cross-sectional study

Abstract

Background

Preoperative anemia is a common complication in knee osteoarthritis (KOA) patients. However, the association between anemia and preoperative deep vein thrombosis (DVT) in osteoarthritis patients remains unknown. The aim of this study was to investigate such association.

Methods

In this retrospective study, we included 1005 KOA patients undergoing total knee arthroplasty (TKA) in our hospital. According to preoperative hemoglobin levels, the patients were divided into anemia group and non-anemia group. According to the results of Doppler ultrasonography for the lower extremities, the patients were divided into DVT group and non-DVT group. A logistic model was established through propensity score matching (PSM), with anemia before TKA as the dependent variable, DVT-related variable as the covariate, and 0.03 as the Caliper value. The anemia group and non-anemia group were matched at a 1:1 ratio and 310 successfully matched. After matching, logistic regression analysis was used to evaluate the correlation between preoperative anemia and DVT in KOA patients.

Results

In this study, 342 cases (33.6%) had preoperative anemia and 73 cases (7.2%) had DVT before TKA. After matching, 46 DVT cases (7.42%) were found. By using binary logistic regression after PSM, we found that the risk for preoperative DVT formation in TKA patients with preoperative anemia increased by 1.97 times [95% (CI 1.05ā€“3.69)], Pā€‰=ā€‰0.035.

Conclusion

Preoperative anemia is considered as an independent risk factor for the formation of preoperative DVT in KOA patients.

Trial registration: ChiCRT2100054844.

Background

Knee osteoarthritis (KOA) is a chronic degenerative joint disease, and total knee arthroplasty (TKA) is the gold standard treatment for osteoarthritis (OA) [1]. Patients undergoing TKA are at high risk for venous thromboembolism (VTE) \*MERGEFORMAT [2]. Without medication intervention, the incidence of asymptomatic DVT after TKA is 40ā€“85%, and that of fatal pulmonary embolism (PE) is 0.87ā€“1.99% [3]. Currently, common agents for DVT prophylaxis are: anticoagulation therapy based on coagulation cascade, such as heparin and rivaroxaban; antiplatelet therapy, such as aspirin. Although previous studies showed that anemia may be one of risk factors for DVT, it remains unclear what role the red blood cell (RBC) plays in the preoperative DVT formation in OA patients.

Preoperative anemia is a prevalent complication in patients undergoing total joint arthroplasty (TJA), with a high incidence of 44%\*MERGEFORMAT [4]. It has been reported that low hemoglobin (Hb) level is a risk factor for VTE in cancer patients [5]. Anemia is a risk factor for cerebral venous thrombosis [6]. Iron-deficiency anemia was reported as an independent predictive factor for VTE recurrence in patients with unprovoked thrombosis [7]. Meanwhile, anemia was found be an independent risk factor for preoperative DVT in patients with hip fracture [8]. For patients with OA and end-stage rheumatoid arthritis (RA), continuous formation of the inflammation mediator, hemolyzed and damaged RBCs are often accompanied by preoperative chronic anemia, some severe cases may have a shortened lifespan. So far, few studies verify whether preoperative anemia is a high risk factor for DVT formation in chronic arthritis patients.

Materials and methods

Inclusion and exclusion criteria

Inclusion All patients who underwent TKA in our hospital between January 1, 2017 and December 31, 2021 were offered preoperative lower extremity ultrasounds.

Exclusion Of 1133 patients, 1005 met entry criteria, excluding 85 with no lower extremity ultrasound, 22 with tumors, 4 with fractures, and 17 with trauma. (See Fig.Ā 1).

Fig. 1
figure 1

The research route of PSM in preoperative anemia and DVT in TKA patients. TKAā€”total knee arthroplasty; DVTā€”deep vein thrombosis; BMIā€”body mass index; DMā€”diabetes mellitus; OAā€”osteoarthritis; CHDā€”coronary heart disease; COPDā€”chronic obstructive pulmonary disease;

Study design

1005 patients with KOA were enrolled in. As per the 2011 World Health Organization (WHO) guidelines\*MERGEFORMAT [9] (and the indicators used by our laboratory), when Hbā€‰<ā€‰130Ā g/L in men andā€‰<ā€‰120Ā g/L in women, it is defined as anemia. According to their preoperative Hb levels, patients were divided into anemia group and the non-anemia group. According to the results of the lower extremity vein Doppler ultrasonography, the TKA patients were assigned into DVT group and non-DVT group for investigating the relation between preoperative anemia and preoperative DVT in KOA patients. This study has been approved by the Army Medical Center of PLA; ratification number is 2021(288) and it has completed the WHO international clinical trials registry (ChiCRT2100054844). As this was a retrospective study, the informed consent of the patients was waived by the ethics committee.

Data collection

Patientsā€™ general information included name, admission number, height, weight, BMI, age, gender, preoperative diagnosis. Their medical records included: preoperative hypertension, diabetes mellitus (DM), coronary heart disease (CHD), chronic obstructive pulmonary disease (COPD), chronic bronchitis, rheumatoid arthritis (RA), osteoarthritis (OA), cerebral infarction, cancer, renal failure, use of corticosteroids, preoperative smoking, alcohol consumption, major surgery within 12Ā months; laboratory examinations and auxiliary examinations: blood type (type A, B, AB, O), routine blood test (Hb, RBC count, hematocrit), the result of preoperative low extremity vein ultrasound.

All patients were examined by Philips IE33 GE Vivid 9, C5-1 and 5-10Ā Hz pulsed Doppler ultrasound. Each patient was co-diagnosed by two experienced sonographers. The positive criteria for DVT were venous incompressibility, intravascular filling defects, and lack of Doppler signal. We also collected the sites of DVT formation: distal, proximal and mixed thrombus formation. Distal thrombus (thrombus far from the popliteal vein); proximal thrombus (thrombus near the popliteal vein); mixed thrombus (thrombus contained both proximal and distal ends).

Statistical analysis

Statistical analyses were performed using SPSS 26.0 software. Chi-Square test or Fisherā€™s Exact test was adopted for enumeration data. The results were represented in percentage (%) to analyze DVT-related covariates. To minimize the influence of confounders, a logistic model was established using PSM, taking preoperative anemia before TKA as the dependent variable and DVT-related variables as the covariates. Taking 0.03 as the Caliper value, anemia group and non-anemia group were matched at a 1:1 ratio. PSM matching results were evaluated using standard differences (d), which were calculated. If dā€‰<ā€‰0.1, it was evaluated as well-matched. After matching, binary logistic regression analyses were used to calculate the adjusted odds ratio (OR) and 95% Confidence Interval (CI), so as to evaluate the correlation of preoperative anemia before TKA and DVT. P valueā€‰<ā€‰0.05 was considered statistically significant.

Results

General preoperative information of patients undergoing TKA

After inclusion and exclusion, among the 1133 patients who underwent TKA between January 1, 2017 and December 31, 2021, 1005 (88.7%) patients undergoing TKA met the criteria, with a sample loss rate below 20%. 208 cases (20.70%) were male and 797 cases (79.30%) were female. All basic information of patients is seen in Table 1. Anemia was defined as Hbā€‰<ā€‰130Ā g/L in men andā€‰<ā€‰120Ā g/L in women in patients undergoing TKA. 342 cases (33.7%) were defined as patients with anemia. 952 patients were preoperatively diagnosed with OA and 53 patients with RA. The preoperative comorbidities in TKA patients were hypertension (391 cases, 38.91%), DM (138 cases, 13.73%) and CHD (64 cases, 6.37%).

Table 1 Summary of patient characteristics

Comparison of DVT-related variables before and after PSM

Before PSM, the p value of blood type, hypertension, CHD, major surgery history in the last 12Ā months, chronic bronchitis, cerebral infarction, history of smokingā€‰>ā€‰0.05, and there was no statistic difference between anemia group and non-anemia group. While the two groups had statistic differences with P valueā€‰<ā€‰0.05 in terms of gender (Pā€‰=ā€‰0.000), age group (Pā€‰=ā€‰0.01), DM (Pā€‰=ā€‰0.032), type of knee arthritis (Pā€‰=ā€‰0.001), alcohol consumption (Pā€‰=ā€‰0.016), renal failure (Pā€‰=ā€‰0.002), use of corticosteroids (Pā€‰=ā€‰0.000).

After PSM, 310 pairs of data successfully matched with the 16 variablesā€™ P valuesā€‰>ā€‰0.05, and there were no statistic differences between the two groups. This demonstrates the two sets of data are balanced and comparable (Table 2).

Table 2 Distribution characteristics of covariates in TKA patients before and after propensity score matching in Anemia group and Non-Anemia group

Equilibrium of the two covariables before and after matching

Standardized differences (d) in the covariates of the two sets of data were calculated before and after matching. There were 16 covariates (gender, BMI grading, DM, classification of OA, history of smoking, renal failure, use of corticosteroids, age group, cerebral infarction, chronic bronchitis, history of major surgery in the last 12Ā months, CHD, Hypertension, History of cancer, COPD, Blood type) of data before PSM. Among them, the d values for six covariates (including BMI grading, age group, DM, etc.) of data wereā€‰>ā€‰0.1. After PSM, excluding history of smoking (dā€‰=ā€‰0.133), 15 covariates of data all had dā€‰<ā€‰0.1, indicating that the PSM achieved good matching results (Fig.Ā 2).

Fig. 2
figure 2

Variable standardization difference diagram. ORā€”odds ratio; CIā€”confidence interval; PSMā€”propensity score matching; DVTā€”deep vein thrombosis; TKAā€”total knee arthroplasty; Pā€‰<ā€‰0.05 was statistically significant

Association between preoperative anemia and preoperative DVT in patients undergoing TKA

DVT occurred in 73 cases (7.2%) before TKA. We found 35 cases with DVT (10.23%) in the anemia group and 38 cases with DVT (5.73%) in the non-anemia group. After matching, there were 46 cases with DVT (7.42%) with 30 cases (9.68%) in the anemia group and 16 cases (5.16%) in the non-anemia group (Table 3). There were 52 cases (71.23%) with distal thrombus, 10 cases (13.7%) with proximal thrombus, and 11 cases (15.07%) with mixed thrombus. inferior vena cava filter was preoperatively implemented in all patients with proximal thrombi and mixed thrombi. Only one patient developed postoperative PE after TKA.

Table 3 Incidence of DVT in Anemia and Non-Anemia groups before and after PSM matching

Before PSM, we found the risk for DVT in TKA patients with preoperative anemia increased by 1.88 times ([95% CI 1.16ā€“3.03], Pā€‰=ā€‰0.01). After PSM, the risk for DVT increased by 1.97 ([95% CI 1.05ā€“3.69], Pā€‰=ā€‰0.035) (Fig.Ā 3).

Fig. 3
figure 3

Binary logistic regression analysis of preoperative anemia and DVT in TKA patients

Discussion

Our study first found that after PSM, the risk for preoperative DVT formation in TKA patients with preoperative anemia increased by 1.97 times [95% (CI 1.05ā€“3.69)], Pā€‰=ā€‰0.035. Different from other studies, we investigated the association between preoperative anemia and DVT before surgery in terms of both inflammation and RBCs.

Association between preoperative anemia and DVT in patients with KOA

Spahn DR. found that preoperative anemia was highly prevalent, ranging from 24ā€‰Ā±ā€‰9 to 44ā€‰Ā±ā€‰9% in patients undergoing THA, TKA and hip fracture surgery\*MERGEFORMAT [4]. In the present study, preoperative anemia occurred in 342 patients (33.7%), consistent with the incidence indicated by Spahn DR. *MERGEFORMAT [4]. Previous studies have found that 18ā€“40% of patients undergoing TKA had received blood transfusion [10]. Low preoperative Hb level was considered a risk factor for moderate and severe postoperative anemia in patients with primary TKA [12]. Additionally, it has been found that preoperative anemia increased the risk for prosthetic-related infection in patients undergoing TJA [13]. In patient who underwent colorectal surgery, anemia is associated with the increased incidence of DVT and PE [14]. Xiong X and Bo Cheng found that the decrease in erythrocyte count was a high risk factor for preoperative DVT in KOA patients before TKA [15]. However, their study only revealed that the decrease in erythrocyte count contributed to preoperative DVT in TKA patients, and did not verify whether anemia is a high risk factor for preoperative DVT before TKA. Before and after PSM, we found the risk for DVT in TKA patients with preoperative anemia increased by 1.88 times ([95% CI 1.16ā€“3.03], Pā€‰=ā€‰0.01) and 1.97 times ([95% CI 1.05ā€“3.69], Pā€‰=ā€‰0.035), respectively.

Possible mechanism of preoperative anemia and DVT in patients undergoing TKA

To date, anemia is defined by Hb levels in most studies. As per the WHO standards, the decrease in RBC counts (femaleā€‰<ā€‰3.5 Ɨ 1012/L, maleā€‰<ā€‰4 Ɨ 1012/L) is also one of the indicators for diagnosing anemia\*MERGEFORMAT [9]. Both the inflammatory mechanism and the RBC mechanism could be plausible explanations of thrombosis formation in patients with preoperative anemia.

Mechanism of inflammation

Over the last several decades, OA and the metabolic syndrome are increasingly recognized as the low-grade inflammatory condition with elevations in systemic inflammatory mediators such as Interleukin-1 (IL-1), Interleukin-6 (IL-6), and Tumor necrosis factor (TNF), and Interleukin-17 (IL-17)\*MERGEFORMAT [16]. In RA patients, IL-17 coordinates local inflammation, induces proinflammatory cytokines to prolong the inflammation process\*MERGEFORMAT [18]. In both OA and RA, IL-17 lead to cartilage inflammation [17]\*MERGEFORMAT [18]. During inflammation, IL-6 stimulates the liver to produce hepcidin that binds to ferroportin, decreasing intestinal iron absorption, the release of the iron stored in hepatocytes and macrophages, production of functional iron and RBC [20]. Cytokines, including TNF-Ī±, IL-1, and IL-6, are produced after the onset of inflammation. These cytokines restrict RBC and shorten the lifespan of RBCs [21]. Elevation of C-reactive protein, IL-6, IL-8, and TNF during a response to systemic inflammation is associated with increased VTE risk [22]. Activation of endothelial cells, platelets, and leukocytes, onset of inflammation and formation of microparticles are the earliest events following thrombosis, which can trigger the coagulation system through the induction of tissue factor [22].

Mechanism of RBC

Firstly, our data show that the number of platelets (PLTs) in anemia group patients are higher than that in non-anemia group patients. As the PLT count increases, more PLTs aggregate near the vessel wall. RBC deformability is mainly due to RBCsā€™ biconcave shape. The more rigid RBCs are, the more difficult it is for them to pass through capillaries, and the easier to marginate PLTs [23]. Together with the increase in PLT count, thrombosis can be easily formed. Symeonidis A and Athanassiou G found that DM, hypertension, VTE of the lower extremity, and CHD, could make RBCs very hard, likely leading to thrombosis [24]. And most of the patients in our study were aged patients with hypertension, CHD or DM. Secondly, during inflammation, RBCs were damaged [21]. In the view of membrane asymmetry of RBCs, phosphatidylserine were exposed in the context of cell injury induced by inflammation or oxidative stress [25]. Due to the large amount of RBCs in blood, even a small amount of them in contact with phosphatidylserine could lead to thrombosis [26]. Finally, RBCs may interact with the activated endothelial cells and/or expose and bind to subendothelial matrix, which leads to the formation of thrombosis [26].

Optimization of preoperative anemia in patients undergoing TKA

Itā€™s been proven that patient blood management implemented for patients undergoing TJA or TKA would decrease blood transfusion, length of stay, morbidity, and readmission [27]. Effective methods to preoperative correction of anemia include the use of erythropoietin (EPO) and oral or intravenous (IV) iron supplementation [28]. However, EPO may increase the risk of thromboembolism [29]. To ensure its safety and efficacy, EPO must be administered together with iron to enhance its therapeutic effect. In the meantime, measures to prevent thrombosis formation must be taken [30]. Oral iron is a low-cost way to treat anemia, but to be more effective, patients must take oral iron 3ā€“6Ā month before surgery [28]. Compared with oral iron, intravenous iron therapy is faster in improving Hb levels and has better tolerance [31]. However, as intravenous iron administration is invasive and costs higher, Smith A and Moon, T do not recommend preoperative IV iron therapy for all patients scheduled for major orthopedic surgery [32].

The normal lifespan of human RBCs is approximately 120Ā days, and even if the lifespan is decreased by inflammation, a clinically significant reduction in erythrocyte count does not usually develop until weeks to months after the onset of the underlying inflammatory disorder [21]. The disease course of TKA patients is relative long, with a mean onset time ranging from months to decades, and most TKA patients are with advanced KOA, the surgeries for these patients are not life-threatening. Therefore, when preoperative anemia is found in TKA patients, they can choose the appropriate method to optimize the state of preoperative anemia.

Strengths and limitations

In this study, the correlation between preoperative anemia and DVT in TKA patients was explored by using materials such as basic medical history, preoperative laboratory examinations, and preoperative auxiliary examinations. However, this study has certain limitations. As a retrospective study, some data are incomplete, and there existed the selection bias. The association between the severity of anemia and the formation of preoperative DVT will be further investigated.

Conclusion

Preoperative anemia is an independent risk factor for preoperative DVT in KOA patients.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

BMI:

Body mass index

CHD:

Coronary heart disease

COPD:

Chronic obstructive pulmonary disease

CI:

Confidence interval

DM:

Diabetes mellitus

DVT:

Deep vein thrombosis

EPO:

Erythropoietin

HB:

Hemoglobin

HCT:

Hematocrit

IL-1:

Interleukin-1

IL-17:

Interleukin-17

IL-6:

Interleukin-6

KOA:

Knee osteoarthritis

OA:

Osteoarthritis

OR:

Odds ratio

PE:

Pulmonary embolism

PSM:

Propensity score matching

RA:

Rheumatoid arthritis

RBC:

Red blood cell

SF:

Synovium fluid

TF:

Tissue factor

THA:

Total hip arthroplasty

TJA:

Total joint arthroplasty

TKA:

Total knee arthroplasty

TNF:

Tumor necrosis factor

PLT:

Platelets

VTE:

Venous thromboembolism

WHO:

World Health Organization

References

  1. Goudie EB, Robinson C, Walmsley P, Brenkel I. Changing trends in total knee replacement. Eur J Orthop Surg Traumatol Orthop Traumatol. 2017;27(4):539ā€“44. https://doi.org/10.1007/s00590-017-1934-8.

    ArticleĀ  Google ScholarĀ 

  2. Falck-Ytter Y, Francis CW, Johanson NA, Curley C, Dahl OE, Schulman S, Ortel TL, Pauker SG, Colwell CW Jr. Prevention of VTE in orthopedic surgery patients: antithrombotic therapy and prevention of thrombosis, 9th ed: American College of chest physicians evidence-based clinical practice guidelines. Chest. 2012;141(2 Suppl):e278S-e325S. https://doi.org/10.1378/chest.11-2404.

    ArticleĀ  CASĀ  Google ScholarĀ 

  3. Bala A, Huddleston JI 3rd, Goodman SB, Maloney WJ, Amanatullah DF. Venous thromboembolism prophylaxis after TKA: Aspirin, warfarin, enoxaparin, or factor Xa inhibitors? Clin Orthop Relat Res. 2017;475(9):2205ā€“13. https://doi.org/10.1007/s11999-017-5394-6.

    ArticleĀ  Google ScholarĀ 

  4. Spahn DR. Anemia and patient blood management in hip and knee surgery: a systematic review of the literature. Anesthesiology. 2010;113(2):482ā€“95. https://doi.org/10.1097/ALN.0b013e3181e08e97.

    ArticleĀ  Google ScholarĀ 

  5. Khorana AA, Kuderer NM, Culakova E, Lyman GH, Francis CW. Development and validation of a predictive model for chemotherapy-associated thrombosis. Blood. 2008;111(10):4902ā€“7. https://doi.org/10.1182/blood-2007-10-116327.

    ArticleĀ  CASĀ  Google ScholarĀ 

  6. Coutinho JM, Zuurbier SM, Gaartman AE, Dikstaal AA, Stam J, Middeldorp S, Cannegieter SC. Association between anemia and cerebral venous thrombosis: caseā€“control study. Stroke. 2015;46(10):2735ā€“40. https://doi.org/10.1161/STROKEAHA.115.009843.

    ArticleĀ  CASĀ  Google ScholarĀ 

  7. Potaczek DP, Jankowska EA, Wypasek E, Undas A. Iron deficiency: a novel risk factor of recurrence in patients after unprovoked venous thromboembolism. Polskie Arch Medy Wewnetrznej. 2016;126(3):159ā€“65. https://doi.org/10.20452/pamw.3311.

    ArticleĀ  Google ScholarĀ 

  8. Cheung CL, Ang SB, Chadha M, Chow ES, Chung YS, Hew FL, Jaisamrarn U, Ng H, Takeuchi Y, Wu CH, Xia W, Yu J, Fujiwara S. An updated hip fracture projection in Asia: the Asian Federation of Osteoporosis Societies study. Osteoporos Sarcopenia. 2018;4(1):16ā€“21. https://doi.org/10.1016/j.afos.2018.03.003.

    ArticleĀ  Google ScholarĀ 

  9. World Health Organization. Haemoglobin concentrations for the diagnosis of anaemia and assessment of severity (No. WHO/NMH/NHD/MNM/11.1). World Health Organization (2011).

  10. Gombotz H, Rehak PH, Shander A, Hofmann A. The second Austrian benchmark study for blood use in elective surgery: results and practice change. Transfusion. 2014;54(10 Pt 2):2646ā€“57. https://doi.org/10.1111/trf.12687.

    ArticleĀ  Google ScholarĀ 

  11. 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. 2014;96(23):1945ā€“51. https://doi.org/10.2106/JBJS.N.00077.

    ArticleĀ  Google ScholarĀ 

  12. Cao G, Yang X, Xu H, Yue C, Huang Z, Zhang S, Quan S, Yao J, Yang M, Pei F. Association between preoperative hemoglobin and postoperative moderate and severe anemia among patients undergoing primary total knee arthroplasty: a single-center retrospective study. J Orthop Surg Res. 2021;16(1):572. https://doi.org/10.1186/s13018-021-02727-5.

    ArticleĀ  Google ScholarĀ 

  13. Lu M, Sing DC, Kuo AC, Hansen EN. Preoperative anemia independently predicts 30-day complications after aseptic and septic revision total joint arthroplasty. J Arthroplasty. 2017;32(9S):S197ā€“201. https://doi.org/10.1016/j.arth.2017.02.076.

    ArticleĀ  Google ScholarĀ 

  14. Yeap E, Teoh W, Nguyen TC, Suhardja TS. Preoperative anaemia and thrombocytopenia are associated with venous thromboembolism complications after colorectal resection. ANZ J Surg. 2021;91(1ā€“2):E32ā€“7. https://doi.org/10.1111/ans.15918.

    ArticleĀ  Google ScholarĀ 

  15. Xiong X, Cheng B. Preoperative risk factors for deep vein thrombosis in knee osteoarthritis patients undergoing total knee arthroplasty. J Orthop Sci. 2021. https://doi.org/10.1016/j.jos.2021.09.016.

    ArticleĀ  Google ScholarĀ 

  16. Huffman KM, Kraus WE. Osteoarthritis and the metabolic syndrome: more evidence that the etiology of OA is different in men and women. Osteoarthr Cartil. 2012;20(7):603ā€“4. https://doi.org/10.1016/j.joca.2012.04.007.

    ArticleĀ  CASĀ  Google ScholarĀ 

  17. Babaei M, Javadian Y, Narimani H, Ranaei M, Heidari B, Basereh H, Gholinia H, Firouzjahi A. Correlation between systemic markers of inflammation and local synovitis in knee osteoarthritis. Casp J Intern Med. 2019;10(4):383ā€“7. https://doi.org/10.22088/cjim.10.4.383.

    ArticleĀ  Google ScholarĀ 

  18. Kim KW, Kim HR, Kim BM, Cho ML, Lee SH. Th17 cytokines regulate osteoclastogenesis in rheumatoid arthritis. Am J Pathol. 2015;185(11):3011ā€“24. https://doi.org/10.1016/j.ajpath.2015.07.017.

    ArticleĀ  CASĀ  Google ScholarĀ 

  19. Teerawattanapong N, Udomsinprasert W, Ngarmukos S, Tanavalee A, Honsawek S. Blood leukocyte LINE-1 hypomethylation and oxidative stress in knee osteoarthritis. Heliyon. 2019;5(5):e01774. https://doi.org/10.1016/j.heliyon.2019.e01774.

    ArticleĀ  Google ScholarĀ 

  20. Lasocki S, Longrois D, Montravers P, Beaumont C. Hepcidin and anemia of the critically ill patient: bench to bedside. Anesthesiology. 2011;114(3):688ā€“94. https://doi.org/10.1097/ALN.0b013e3182065c57.

    ArticleĀ  Google ScholarĀ 

  21. Ganz T. Anemia of inflammation. N Engl J Med. 2019;381(12):1148ā€“57. https://doi.org/10.1056/NEJMra1804281.

    ArticleĀ  CASĀ  Google ScholarĀ 

  22. Branchford BR, Carpenter SL. The role of inflammation in venous thromboembolism. Front Pediatr. 2018;6:142. https://doi.org/10.3389/fped.2018.00142.

    ArticleĀ  Google ScholarĀ 

  23. Aarts PA, Banga JD, van Houwelingen HC, Heethaar RM, Sixma JJ. Increased red blood cell deformability due to isoxsuprine administration decreases platelet adherence in a perfusion chamber: a double-blind cross-over study in patients with intermittent claudication. Blood. 1986;67(5):1474ā€“81.

    ArticleĀ  CASĀ  Google ScholarĀ 

  24. Symeonidis A, Athanassiou G, Psiroyannis A, Kyriazopoulou V, Kapatais-Zoumbos K, Missirlis Y, Zoumbos N. Impairment of erythrocyte viscoelasticity is correlated with levels of glycosylated haemoglobin in diabetic patients. Clin Lab Haematol. 2001;23(2):103ā€“9. https://doi.org/10.1046/j.1365-2257.2001.00366.x.

    ArticleĀ  CASĀ  Google ScholarĀ 

  25. Shi J, Shi Y, Waehrens LN, Rasmussen JT, Heegaard CW, Gilbert GE. Lactadherin detects early phosphatidylserine exposure on immortalized leukemia cells undergoing programmed cell death. Cytom Part A J Int Soc Anal Cytol. 2006;69(12):1193ā€“201. https://doi.org/10.1002/cyto.a.20345.

    ArticleĀ  CASĀ  Google ScholarĀ 

  26. Whelihan MF, Zachary V, Orfeo T, Mann KG. Prothrombin activation in blood coagulation: the erythrocyte contribution to thrombin generation. Blood. 2012;120(18):3837ā€“45. https://doi.org/10.1182/blood-2012-05-427856.

    ArticleĀ  CASĀ  Google ScholarĀ 

  27. Loftus TJ, Spratling L, Stone BA, Xiao L, Jacofsky DJ. A patient blood management program in prosthetic joint arthroplasty decreases blood use and improves outcomes. J Arthroplasty. 2016;31(1):11ā€“4. https://doi.org/10.1016/j.arth.2015.07.040.

    ArticleĀ  Google ScholarĀ 

  28. Lu Q, Peng H, Zhou GJ, Yin D. Perioperative Blood management strategies for total knee arthroplasty. Orthop Surg. 2018;10(1):8ā€“16. https://doi.org/10.1111/os.12361.

    ArticleĀ  Google ScholarĀ 

  29. Lin DM, Lin ES, Tran MH. Efficacy and safety of erythropoietin and intravenous iron in perioperative blood management: a systematic review. Transfus Med Rev. 2013;27(4):221ā€“34. https://doi.org/10.1016/j.tmrv.2013.09.001.

    ArticleĀ  Google ScholarĀ 

  30. MuƱoz M, GĆ³mez-RamĆ­rez S, Kozek-Langeneker S. Pre-operative haematological assessment in patients scheduled for major surgery. Anaesthesia. 2016;71(Suppl 1):19ā€“28. https://doi.org/10.1111/anae.13304.

    ArticleĀ  Google ScholarĀ 

  31. Ng O, Keeler BD, Mishra A, Simpson JA, Neal K, Al-Hassi HO, Brookes MJ, Acheson AG. Iron therapy for preoperative anaemia. Cochrane Database Syst Rev. 2019;12(12):CD011588. https://doi.org/10.1002/14651858.CD011588.pub3.

    ArticleĀ  Google ScholarĀ 

  32. Smith A, Moon T, Pak T, Park B, Urman RD. Preoperative anemia treatment with intravenous iron in patients undergoing major orthopedic surgery: a systematic review. Geriatr Orthop Surg Rehabilit. 2020;11:2151459320935094. https://doi.org/10.1177/2151459320935094.

    ArticleĀ  Google ScholarĀ 

Download references

Acknowledgments

None.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author information

Authors and Affiliations

Authors

Contributions

XX, TL, and BC contributed to the conception and design of the study. XX and TL contributed to the acquisition and analysis of data. XX wrote the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Bo Cheng.

Ethics declarations

Ethics approval and consent to participate

This study has been approved by the Army Medical Center of PLA; ratification number is 2021(288).

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

Xiong, X., Li, T. & Cheng, B. Anemia and formation of deep vein thrombosis before operation in patients with knee osteoarthritis: a cross-sectional study. J Orthop Surg Res 18, 33 (2023). https://doi.org/10.1186/s13018-023-03518-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13018-023-03518-w

Keywords