Literature DB >> 31308705

Usefulness of serum D‑dimer for preoperative diagnosis of infected nonunion after open reduction and internal fixation.

Zhen Wang1, Chong Zheng2, Siyuan Wen1, Junfei Wang1, Zitao Zhang1, Xusheng Qiu1, Yixin Chen1.   

Abstract

PURPOSE: Infected nonunion after open reduction internal fixation (ORIF) is a serious complication. The aim of this study was to evaluate the usefulness of serum D-dimer for preoperative diagnosis of infected nonunion. PATIENTS AND METHODS: Patients undergoing debridement and external fixation for infected nonunion (n=32) and replacement of internal fixation due to aseptic failure (n=34) were enrolled and compared in this retrospective study. The optimum cutoff value of D-dimer for identification of infected nonunion was determined by calculating the Youden J statistic. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of four preoperative laboratory parameters-serum D-dimer level, white blood cell (WBC) count, erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP)-for diagnosis of infected nonunion were compared.
RESULTS: Serum D-dimer level was significantly higher in patients with infected nonunion than in patients with aseptic nonunion: 2.62 mg/mL (range, 0.13-11.90 mg/mL) vs 0.35 mg/mL (range, 0.07-6.46 mg/mL; p<0.001). WBC count, CRP, and ESR demonstrated sensitivity of 12.5% (95% CI: 4.08-29.93), 40.6% (95% CI: 24.22-59.21), and 56.3% (95% CI: 37.88-73.16), respectively, and specificity of 94.1% (95% CI: 78.94-98.97), 88.2% (95% CI: 71.61-96.16), and 85.3% (95% CI: 68.17-94.46), respectively. Using the Youden index, 1.70 mg/mL was determined as the optimal threshold value for serum D-dimer for the diagnosis of infected nonunion. The sensitivity and specificity of serum D-dimer (>1.70 mg/mL) were 75.0% (95% CI: 56.25-87.87) and 91.2% (95% CI: 75.19-97.69).
CONCLUSIONS: Serum D-dimer level may be useful for preoperative prediction of infected nonunion in patients after ORIF.

Entities:  

Keywords:  fracture-related infection; laboratory test; nonunion; preoperative prediction

Year:  2019        PMID: 31308705      PMCID: PMC6612948          DOI: 10.2147/IDR.S213099

Source DB:  PubMed          Journal:  Infect Drug Resist        ISSN: 1178-6973            Impact factor:   4.003


Introduction

Infected nonunion after open reduction and internal fixation (ORIF) is a major challenge for orthopedic surgeons. If not promptly diagnosed and managed, permanent loss of function, amputation, and even death may result.1 However, in the absence of any reliable method for diagnosing infection prior to nonunion surgery, surgeons cannot accurately discriminate between infected nonunion and aseptic nonunion.8,9 The Association for Osteosynthesis/Association for the Study of Internal Fixation (AO/ASIF) consensus definition of fracture-related infection includes four confirmatory criteria and six suggestive criteria.2 While positive culture of intraoperative specimen remains the gold standard for diagnosis, it is time-consuming and has relatively poor sensitivity.3 Currently, evaluation of inflammatory markers is the first step in a fracture nonunion patient with clinically suspected infection.4 White blood cell (WBC) count, erythrocyte sedimentation rate (ESR), and C-reactive protein (CRP) have traditionally been used as screening tests for infection because of their simplicity and cost-effectiveness.5,6 However, the sensitivity and specificity of these tests have declined in recent years because of the decrease in the number of patients with typical clinical manifestations of infection.4,7 It has therefore become essential to identify additional laboratory tests that can help in preoperative diagnosis. D-dimer—a fibrin degradation product in plasma—was widely used earlier as a diagnostic aid in suspected venous thromboembolism (VTE) and pulmonary embolism (PE), but has now largely been abandoned because of its poor specificity.10–12 Recently, some studies have shown that systemic and local infections result in increased fibrinolytic activity and raise serum D-dimer levels.13–16 Different groups have also demonstrated that the D-dimer level is a predictor of poor outcome in sepsis, bacteremia, and periprosthetic joint infection (PJI).17–19 The aim of this study was to investigate whether the D-dimer level could be used for preoperative diagnosis of infected nonunion after ORIF.

Materials and methods

Patients

A total of 108 consecutive patients treated operatively for primary nonunion between March 2016 and December 2018 were screened for eligibility for inclusion in this retrospective study. The inclusion criteria were as follows: 1) patients aged ≥18 years; 2) those with nonunion that required primary operation. Patients were excluded if they 1) had received antibiotics before surgery; 2) had prosthetic heart valve implant or any type of skin ulcer, hematoma, or visible ecchymosis; 3) had history of any hypercoagulation disorder (eg, VTE, PE, or disseminated intravascular coagulation); or 4) had sepsis or infections not involving the fracture site. A total of 66 patients met these criteria and were included for analysis. The patients were separated into two groups as follows: 32 in Group A (revision for infected nonunion) and 34 in Group B (revision for aseptic nonunion). Ethical approval was obtained from the Clinical Research Ethics Committee of The Affiliated Drum Tower Hospital of Nanjing University Medical School. All participants consented to their data being used for research. Data were collected on baseline demographics (ie, sex and age); body mass index, smoking history, the involved location; results of blood tests on admission to hospital (ie, serum D-dimer, WBC count, CRP, and ESR); and blood culture results. To prevent the occurrence of PE, D-dimer is routinely evaluated to diagnose DVT in all patients at admission in our department. The definition of a long-bone nonunion was “radiographic evidence of nonprogression of healing for at least 3 months, or lack of healing by 9 months since the initial injury. Infected nonunion was defined using the AO/ASIF criteria.2 A positive diagnosis of infection was made if the same organism was grown in at least two cultures of the intraoperative sample.

Statistical analysis

For demographic characteristics, continuous variables are presented as mean ± SD and categorical variables as absolute numbers and proportions. The chi-squared test was used to analyze categorical data, and Student’s t-test was used to analyze continuous variables. All laboratory values were summarized as median. The Mann–Whitney U test was used to compare the results between the groups. The optimal threshold value of D-dimer for diagnosis of infected nonunion was determined by calculating the Youden J statistic (J = [sensitivity + specificity] – 1). The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of WBC count, CRP, ESR, and D-dimer were calculated. The 95% CIs were calculated according to the efficient-score method.20 All statistical analyses were performed using STATA version 18.0 (SPSS Inc., Chicago, IL, USA). Statistical significance was at p<0.05.

Results

A total of 66 patients (9 women and 57 men; mean age, 57.0±11.8 years; age range, 18–71 years) were enrolled in this study. Table 1 summarizes the demographic characteristics of patients in the two groups.
Table 1

Demographics of the two groups

Group A(n=32)Group B(n=34)P-value
No. of women2/307/270.090
Age (year, mean ± SD)45.5±14.743.9±12.80.654
BMI (kg/m2, mean ± SD)23.5±3.823.3±4.10.832
Current smoker (yes/no)14/1813/210.649
Cancer (yes/no)2/301/330.519
Vascular disease (yes/no)3/294/300.753
Nonunion site (lower extremity, yes/no)26/627/70.851

Notes: Group A = infected nonunion; Group B = aseptic nonunion. P<0.05 indicate significance.

Abbreviation: BMI, body mass index.

Demographics of the two groups Notes: Group A = infected nonunion; Group B = aseptic nonunion. P<0.05 indicate significance. Abbreviation: BMI, body mass index. Among those with infected nonunion, 13/32 had methicillin-sensitive Staphylococcus aureus infection, 4/32 had methicillin-resistant S aureus infection, 5/32 had Staphylococcus epidermidis infection, 2/32 had Escherichia coli infection, 1/32 had Enterobacter cloacae infection, 1/32 had Enterococcus faecalis infection, 1/32 had Streptococcus mutans infection, and 5/32 had polymicrobial infection. Median serum D-dimer level was significantly higher in the infected nonunion group than in the aseptic nonunion group. Similarly, median ESR and CRP values were also significantly higher in the infected nonunion group than in the aseptic nonunion group. However, the median WBC count was comparable between the two groups. (Table 2)
Table 2

Comparison of blood parameters between two groups

Group A(n=32)Group B(n=34)P-value
WBC (109/μL, median)6.86.30.91
CRP (mg/L, median)6.63.20.03*
ESR (mm/hr, median)15.56.0<0.001*
D-dimer (mg/L, median)2.60.3<0.001*

Notes: Group A = infected nonunion; Group B = aseptic nonunion. *P<0.05 indicate significance.

Abbreviations: WBC, white blood cell; CRP, C-reactive protein; ESR, erythrocyte sedimentation rate.

Comparison of blood parameters between two groups Notes: Group A = infected nonunion; Group B = aseptic nonunion. *P<0.05 indicate significance. Abbreviations: WBC, white blood cell; CRP, C-reactive protein; ESR, erythrocyte sedimentation rate. Table 3 shows the sensitivity and specificity of each of the four tests. WBC count had high specificity (94.1%, 95% CI: 78.94–98.97) but the lowest sensitivity (12.5%, 95% CI: 4.08–29.93). Similarly, CRP and ESR had low sensitivity of 40.6% (95% CI: 24.21–59.21) and 56.3% (95% CI: 37.88–73.16%), respectively, and high specificity of 88.2% (95% CI: 71.61–91.16) and 85.3% (95% CI: 68.17–94.46), respectively. D-dimer (>1.70 mg/mL) had the most high specificity (75.0%, 95%CI: 56.25–87.87) and better sensitivity (91.2%, 95% CI: 75.19–97.69). Both the PPV and NPV of D-dimer were better than the other three tests.
Table 3

Performance of laboratory tests in the diagnosis of infected nonunion

WBCCRPESRD-dimer
False positive, n2453
True negative, n32302931
True positive, n4131824
False negative, n2819148
Sensitivity (95% CI)12.5% (4.08–29.93)40.6% (24.21–59.21)56.3% (37.88–73.16)75.0% (56.25–87.87)
Specificity (95% CI)94.1% (78.94–98.97)88.2% (71.61–91.16)85.3% (68.17–94.46)91.2% (75.19–97.69)
PPV (95% CI)66.7% (24.11–94.00)76.5% (49.76–92.18)78.3% (55.79–91.71)88.9% (69.70–97.09)
NPV (95% CI)53.3% (40.10–66.14)61.2% (46.24–74.46)67.4% (51.34–80.46)79.5% (63.06–90.13)

Abbreviations: WBC, white blood cell; CRP, C-reactive protein; ESR, erythrocyte sedimentation rate; PPV, positive predictive value; NPV, negative predictive value.

Performance of laboratory tests in the diagnosis of infected nonunion Abbreviations: WBC, white blood cell; CRP, C-reactive protein; ESR, erythrocyte sedimentation rate; PPV, positive predictive value; NPV, negative predictive value.

Discussion

Recently, Gris et al17 reported that elevated serum D-dimer predicts poor outcome in septic shock, and Schwameis et al18 found that the D-dimer level was a predictor of risk of mortality in the very early stages of bacteremia. In addition, Shahi et al19 showed that serum D-dimer was a useful marker of PJI. However, there have been no studies so far on the utility of D-dimer in the diagnosis of infected nonunion. In this study, we demonstrated that serum D-dimer level >1.70 mg/mL has better sensitivity than the other commonly used laboratory tests—WBC, ESR, and CRP—for diagnosis of infected nonunion. Additionally, the specificity of D-dimer was so high among them. WBC count, CRP, and ESR are the most commonly used markers of inflammation. Changes in these parameters generally indicate the onset of infection. Unfortunately, however, all three tests are affected by factors such as physiological stress, treatment, and trauma.4,21,22 In the present study, we found that WBC count had high specificity (94.1%, 95% CI: 78.94–98.97), but very low sensitivity (12.5%, 95% CI: 4.08–29.93); this finding is consistent with previous studies.7,22 CRP and ESR demonstrated only moderate sensitivities and specificities. D-dimer is a marker of fibrinolysis and was earlier used widely, albeit with disappointing performance, for screening patients for VTE.10–12 Recently, a number of studies have proposed that serum D-dimer level is an effective serum inflammatory marker with distinct advantages for the detection of systemic inflammation and infection.14,17,18 Kinasewitz et al23 and Deitcher et al24 reported that D-dimer level was a sensitive test for identification of sepsis in intensive care unit patients. Shahi et al19 found that elevated D-dimer level in patients undergoing reimplantation could be an indication of persistent infection. In the present study, patients with infected nonunion had significantly higher serum D-dimer levels than others. D-dimer (>1.70 mg/mL) had the most high specificity (75.0%, 95%CI: 56.25–87.87) and better sensitivity (91.2%, 95% CI: 75.19–97.69) than the other tests. Disseminated intravascular coagulation, characterized by circulating fibrinogen degradation products, is associated with inflammatory conditions. Coagulation activation results when endothelial damage leads to exposure of blood to extravascular tissue factors.18 Activation of the coagulation cascade is a common and early event in patients with infection, and many of the molecules involved in this process are also important amplifiers of the inflammatory response.25,26 Moreover, D-dimer can itself mediate and enhance the inflammatory response.27 According to Ribera et al,14 D-dimer may help in localizing infecting organisms or inflammatory cells. This present study has several limitations. First, this was a retrospective observational study and some bias is inevitable. Second, the number of patients in each group was relatively small. Prospective studies with larger samples would give more robust evidence. Finally, in contrast to PJI, these standardized protocols tailored to diagnose infected nonunion in patients after ORIF are scarce. The laboratory serum tests have no confirmatory criteria to diagnose infected nonunion, which may influence our results.

Conclusion

To our knowledge, this study is the first to indicate that serum D-dimer may have value for diagnosis of infection in bone nonunion patients after ORIF. D-dimer level >1.70 mg/mL appears to provide the optimum balance of sensitivity and specificity for the diagnosis of infected nonunion. However, it must be stressed that diagnosis of infected nonunion should always be based on the combined results of clinical, laboratory, and radiologic evaluations.
  27 in total

1.  Fibrin-related markers in patients with septic shock: individual comparison of D-dimers and fibrin monomers impacts on prognosis.

Authors:  Jean-Christophe Gris; Sylvie Bouvier; Eva Cochery-Nouvellon; Jean-Luc Faillie; Géraldine Lissalde-Lavigne; Jean-Yves Lefrant
Journal:  Thromb Haemost       Date:  2011-09-22       Impact factor: 5.249

2.  Fate of Patients With a "Surprise" Positive Culture After Nonunion Surgery.

Authors:  Dana Olszewski; Philipp N Streubel; Charlton Stucken; William M Ricci; Martin F Hoffmann; Clifford B Jones; Debra L Sietsema; Paul Tornetta
Journal:  J Orthop Trauma       Date:  2016-01       Impact factor: 2.512

3.  Risk of venous thromboembolism recurrence: high negative predictive value of D-dimer performed after oral anticoagulation is stopped.

Authors:  Gualtiero Palareti; Cristina Legnani; Benilde Cosmi; Giuliana Guazzaloca; Claudia Pancani; Sergio Coccheri
Journal:  Thromb Haemost       Date:  2002-01       Impact factor: 5.249

Review 4.  D-dimer testing in laboratory practice.

Authors:  Armando Tripodi
Journal:  Clin Chem       Date:  2011-06-30       Impact factor: 8.327

5.  Synovial fluid D-dimer concentration in foals with septic joint disease.

Authors:  T Ribera; L Monreal; L Armengou; J Ríos; M Prades
Journal:  J Vet Intern Med       Date:  2011-07-22       Impact factor: 3.333

6.  Procoagulant activity in children with community acquired pneumonia, pleural effusion and empyema.

Authors:  E Michelin; D Snijders; S Conte; P Dalla Via; T Tagliaferro; L Da Dalt; C M Monciotti; P Simioni; G Stefanutti; V Ghirardo; P Gamba; A Barbato
Journal:  Pediatr Pulmonol       Date:  2008-05

Review 7.  Role of fibrinolysis in sepsis.

Authors:  Satoshi Gando
Journal:  Semin Thromb Hemost       Date:  2013-02-27       Impact factor: 4.180

8.  Predictors of poor outcomes following deep infection after internal fixation of ankle fractures.

Authors:  Mikko T Ovaska; Tatu J Mäkinen; Rami Madanat; Tero Vahlberg; Eero Hirvensalo; Jan Lindahl
Journal:  Injury       Date:  2013-04-03       Impact factor: 2.586

9.  A Pilot Study of the Performance Characteristics of the D-dimer in Presumed Sepsis.

Authors:  Phillip J Goebel; Justin B Williams; Robert T Gerhardt
Journal:  West J Emerg Med       Date:  2010-05

10.  Universal changes in biomarkers of coagulation and inflammation occur in patients with severe sepsis, regardless of causative micro-organism [ISRCTN74215569].

Authors:  Gary T Kinasewitz; S Betty Yan; Bruce Basson; Philip Comp; James A Russell; Alain Cariou; Suzane L Um; Barbara Utterback; Pierre-Francois Laterre; Jean-François Dhainaut
Journal:  Crit Care       Date:  2004-02-10       Impact factor: 9.097

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2.  Plasma Fibrinogen as a Diagnostic Marker of Infection in Patients with Nonunions.

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Journal:  J Orthop Surg Res       Date:  2022-04-04       Impact factor: 2.359

4.  Plasma d-Dimer Levels in Non-prosthetic Orthopaedic Implant Infection: Can it Aid Diagnosis?

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