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CompletedNCT03459261POMTIBIALUpdated Mar 9, 2018

Acute Posttraumatic Osteomyelitis in Patients With High-energy Tibial Fractures and Biomarkers

An observational study in Osteomyelitis Tibia and Surgical Site Infection, sponsored by University Medical Centre Ljubljana. Completed. Open to participants aged 15 Years to 65 Years. Per ClinicalTrials.gov, last updated 2018-03-09.

Sponsored by University Medical Centre Ljubljana · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
86
Ages
15 Years to 65 Years
Sex
All
01

Study summary

The present trial was aimed to identify which biomarkers could be associated in perioperative period after surgical treatment of tibial fracture to the development of POM.

Read the detailed description

Early diagnosis of acute posttraumatic osteomyelitis (POM) is of vital importance for avoiding devastating complications. Diagnosing POM is difficult due to the lack of a highly specific and sensitive test, such as in myocardial infarct, stroke and intracranial bleeding. Serum inflammatory markers, C-reactive protein (CRP), procalcitonin (PCT), white blood cells (WBC) can support clinical findings but they are not able to differentiate between inflammatory response to infection and the host response to non-infection insult with high specificity and sensitivity.

The prospective nonrandomised cohort study included 86 patients after high-energy injury to the shin requiring primary surgical treatment (open or closed reduction and internal fixation of tibial fracture). Values of the biochemical and immunoinflammatory profile were measured on admission (ADD), first postoperative day (POD1) and fourth-postoperative day (POD4).

The objectives of the study were to investigate that the biochemical and immunoinflammatory profile could facilitate postoperative monitoring, guide the antibiotic treatment and timing of revision surgery.

02

Conditions studied

  • Osteomyelitis Tibia
  • Surgical Site Infection

Keywords

  • osteomyelitis
  • tibial fracture
  • cytokines
  • PCT
  • CRP
  • albumin
03

Who can participate

Ages eligible
15 Years to 65 Years
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Patients admitted to the Department of Traumatology at University Clinical Centre Ljubljana were included after written informed consent.

Inclusion criteria

  • high-energy injury to proximal, shaft or distal tibia,
  • tibial fracture requiring primary surgical treatment /ORIF

Exclusion criteria

Exclusion Criteria:

  • ankle fracture,
  • patella fracture,
  • avulsion fracture of the knee,
  • malignant neoplasm and pathological tibial fracture,
  • systemic autoimmune disease of connective tissue,
  • immature patients under 15 years of age (children),
  • immunocompromised patients.
04

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
86 participants (actual)
Target follow-up
6 Months
Patient registry
Yes

Groups and cohorts

  • POM

    post-traumatic osteomyelitis group (POM), the participants who developed post-traumatic osteomyelitis after primary surgical treatment and were taken blood sample on admission (ADD), first postoperative day (POD1) and fourth postoperative day (POD4). Patients were included in POM group after additional assessment of meeting the CDC/NHSN surveillance definition criteria for osteomyelitis: positive intraoperative withdrawal bone and soft tissue sample, types of cultured bacteria, histopathologic proof of osteomyelitis and clinical signs of surgical site infection.

    Diagnostic Test: blood sample on admission (ADD), first postoperative day (POD1) and fourth postoperative day (POD4)

  • NO POM

    No POM group, the participants who did not develop postraumatic osteomyelitis to tibia after primary surgical treatment and were taken blood sample on admission (ADD), first postoperative day (POD1) and fourth postoperative day (POD4) in follow up interval of 6 months /control group/. Patients were included in No POM group after assessment of not meeting the CDC/NHSN surveillance definition criteria for osteomyelitis.

Interventions

  • Diagnostic testblood sample on admission (ADD), first postoperative day (POD1) and fourth postoperative day (POD4)

    Laboratory analyses of peripheral venous blood on admission (blood sample ADD), 24 hours after surgery (blood sample POD1) and fourth-day after surgery (blood sample POD4) included biochemical analysis, complete blood count, C-reactive protein (CPR), procalcitonin (PCT), albumin/protein level, prothrombin time and international normalized ratio (INR) (only on admission) and for determination of cytokines: tumor necrosis factor alpha (TFN-α), interleukin-6 (IL-6), interleukin-10 (IL-10).

05

What researchers measure

Primary outcomes

  1. Measurement of biomarkers CRP, PCT, WBC on ADD, POD1, POD4

    WBC count (reference range 4-10 x 109/L), WBC differential (neutrophil count 1.50-7.40 x 109/L, lymphocyte count 1.10-3.50 x 109/L) and hematocrit (reference range 0.390-0.500) were analyzed with a hematological blood analyzer LH75 (Beckman Coulter). The immunocytochemic analyzer Modular Analytics SWE (Roche Diagnostics) was used for serum samples analysis. The serum concentration of CRP (reference range 0-5mg/L) was measured by the immunoturbidimetric method, PCT (reference range 0-0.5μg/L) by the electrochemiluminescence method and albumins (reference range 35-52g/L) by the bromcresol green method.

    Time frame: perioperative period

  2. Assessment of patients' immune status

    Whole venous blood was collected into vacutainer tubes containing EDTA. Samples were processed for flow cytometry. For surface staining, the standard whole-blood staining methodology as prescribed by the manufacturer (BDBiosciences) was used. For detecting regulatory T cells, samples were stained for surface antigens with a mix of anti-CD25-PE/ anti-CD127-APC/ anti-CD4-PE-Cy™7. All antibodies were obtained from BDBiosciences (Mountain View, Ca, USA). Cells were analyzed on FACSCantoII™ Flow Cytometer (BDBiosciences) equipped with blue (488-nm solid-state) and red (633-nm helium-neon) laser. Digital data was acquired with FACSDiva software (BDBiosciences) and analyzed using FlowJo software (Tree Star Inc.,).

    Time frame: perioperative period

  3. Determination of cytokines level in serum: tumor necrosis factor (TFN-alpha), interleukin-6 (IL-6), interleukin-10 (IL-1) and lymphocyte populations

    Cytokine concentrations were measured by commercially available enzyme-linked immunosorbent assay (ELISA) kits. TNF-α (Milenia Biotec, Germany), IL-6 and IL-10 (Thermo Scientific, USA) were measured according to the manufacturer's instructions.

    Time frame: perioperative period

06

Study locations

No study locations are listed for this record.

07

Registry details

Key details

Study ID
NCT03459261
Lead sponsor
University Medical Centre Ljubljana
Collaborators
Prof. Alojz Ihan, MD, Ph.D, Institute of Microbiology and Immunology, Ljubljana, Slovenia
Responsible party
Matjaž Groznik, MD (Head of HDU at Traumatology Department Matjaž Groznik, MD, Specialist in Traumatology and Intensive Care Medicine, University Medical Centre Ljubljana) — Principal investigator
First posted
Mar 8, 2018
Start date
Jan 1, 2011
Primary completion
Dec 31, 2013
Completion
Jan 31, 2014
Last update
Mar 9, 2018

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
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