| Literature DB >> 32837068 |
Vivek Bagaria1, Purva Mathur2, Karan Madan3, Minu Kumari4, Sushma Sagar4, Amit Gupta4, Kapil Dev Soni4, Hemanga Bhattacharjee1, Subodh Kumar4.
Abstract
Thoracic trauma severity score (TTSS) has been used to assess severity and risk of pulmonary complications in patients with chest trauma. The role of cytokines and biomarkers in patients with chest trauma and its association with TTSS is not well elucidated. The aim of the study was to assess the cytokines (IL-1β, IL-6, IL-8, IL-10, and TNF-α) and biomarkers (vWF, CC-16) in patients of thoracic trauma and correlate it with TTSS and patient's outcome. This was a prospective observational study. Serum and bronchoalveolar lavage fluid samples were collected from chest trauma patients. TTSS was calculated in all patients. Suitable controls for serum and bronchoalveolar lavage (BAL) sample were selected. The outcome parameters included patient discharge or death, duration of hospital, and intensive care unit (ICU) stay. Forty-three patients were included. There was no significant correlation between the measured cytokines and biomarkers and TTSS. The mean TTSS of patients who had a fatal outcome was significantly higher than the patients who recovered. Patients with a high TTSS score had a significant prolonged ICU stay. Patients with a prolonged hospital stay had lower values of CC-16. TTSS is a useful tool to predict severity of chest trauma and prolonged ICU stay. Lower levels of CC-16 in BAL fluid of chest trauma patients were associated with prolonged hospital stay suggestive of its protective role in the airway. Longer prospective studies are required to determine the role of cytokines and biomarkers in patients with thoracic trauma in predicting the patient's outcome. © Association of Surgeons of India 2020.Entities:
Keywords: Biomarkers; Cytokines; Infection; Injury; Mortality; Trauma
Year: 2020 PMID: 32837068 PMCID: PMC7275928 DOI: 10.1007/s12262-020-02407-4
Source DB: PubMed Journal: Indian J Surg ISSN: 0973-9793 Impact factor: 0.656
Diagnostic utility of cytokines and biomarkers in various conditions
| Variable | Disease |
|---|---|
| IL-1β | Alzheimer’s disease, ventilator-associated pneumonia, neonatal sepsis, surgical site infection, endometriosis [ |
| IL-6 | Alzheimer’s disease, neonatal sepsis, surgical site infection, endometriosis, tuberculosis, left ventricular dysfunction, gastric cancer, lupus nephritis, endometriosis, gastric cancer, ectopic pregnancy [ |
| IL-8 | Neonatal sepsis, neurological outcome after cardiac arrest, ovarian cancer, ectopic pregnancy [ |
| IL-10 | Neonatal sepsis [ |
| TNF | Neonatal sepsis, surgical site infection, endometriosis, tuberculosis, ectopic pregnancy [ |
| vWF | von Willebrand disease [ |
| CC16 | Chronic obstructive lung disease [ |
IL-1β interleukin-1β (pg/ml), IL-6 interleukin-6 (pg/ml), IL-8 interleukin-8 (pg/ml), IL-10 interleukin-10 (pg/ml), TNF-α tumor necrosis factor alpha (pg/ml), vWF von Willebrand factor (%), CC16 Clara cell factor 16 (ng/ml)
Comparison of cytokines and biomarkers in serum samples of cases vs. control
| Variables | Cases | Controls | |
|---|---|---|---|
| IL-1β | 245.5 (0–579.3) | 8.1 (3.9–12. 4) | 0.0000 |
| IL-6 | 20.2 (2.3–216.9) | 5.8 (4.3–1137.2) | 0.1108 |
| IL-8 | 51.2 (21.8–13,283) | 349.9 (11.6–612.3) | 0.0154 |
| IL-10 | 92.7 (12.8–5046) | 12.07 (7.8–16.5) | 0.0000 |
| TNF | 19.9 (0–244.8) | 20.65 (15.2–1304) | 0.9411 |
| vWF | 101.5 (15.3–136.7) | 100.1 (24.1–157.4) | 0.4603 |
| CC16 | 0.67 (0.34–7.91) | 0.55 (0.38–9.0) | 0.2843 |
IL-1β interleukin-1β (pg/ml), IL-6 interleukin-6 (pg/ml), IL-8 interleukin-8 (pg/ml), IL-10 interleukin-10 (pg/ml), TNF-α tumor necrosis factor alpha (pg/ml), vWF von Willebrand factor (%), CC16 Clara cell factor 16 (ng/ml)
Comparison of cytokines and biomarkers in BAL samples of cases vs. control
| Variables | Cases | Controls | |
|---|---|---|---|
| IL-1β | 44.3 (8.4–398.6) | 20.5 (4.9–113.9) | 0.0037 |
| IL-6 | 51.5 (3.6–4835.6) | 5.2 (4.1–12.1) | 0.0000 |
| IL-8 | 921.1 (0–32,663.3) | 524.8 (174.9–524.8) | 0.2750 |
| IL-10 | 19.6 (0.3–18,354) | 13.3 (10.8–1307) | 0.0002 |
| TNF | 86.1 (0–1598.1) | 71.0 (29.7–431.9) | 0.9571 |
| vWF | 25.7 (0.3–230.4) | 27.9 (12.7–103.1) | 0.8237 |
| CC16 | 0.40 (0.17–4.00) | 0.62 (0.25–2.06) | 0.0152 |
IL-1β interleukin-1β (pg/ml), IL-6 interleukin-6 (pg/ml), IL-8 interleukin-8 (pg/ml), IL-10 interleukin-10 (pg/ml), TNF-α tumor necrosis factor alpha (pg/ml), vWF von Willebrand factor (%), CC16 Clara cell factor 16 (ng/ml)
Fig. 1Box plot comparing serum cytokines between cases and controls
Fig. 2Box plot comparing BAL cytokines between cases and controls. Box chart represents data as quartiles. The box represents the middle two quartiles, the lines above the box represent the top 25% values, and the lines below the box represent the bottom 25% values. The horizontal line in the box is representative of the median value. Outliers have been omitted to improve visualization of the graph; however, it has not been omitted from the calculation and calibration of the graft