Potential of heart fatty-acid binding protein, neurofilament light, interleukin-10 and S100 calcium-binding protein B in the acute diagnostics and severity assessment of traumatic brain injury.

BACKGROUND: There is substantial interest in blood biomarkers as fast and objective diagnostic tools for traumatic brain injury (TBI) in the acute setting. METHODS: Adult patients (≥18) with TBI of any severity and indications for CT scanning and orthopaedic injury controls were prospectively recruited during 2011-2013 at Turku University Hospital, Finland. The severity of TBI was classified with GCS: GCS 13-15 was classified as mild (mTBI); GCS 9-12 as moderate (moTBI) and GCS 3-8 as severe (sTBI). Serum samples were collected within 24 hours of admission and biomarker levels analysed with high-performance kits. The ability of biomarkers to distinguish between severity of TBI and CT-positive and CT-negative patients was assessed. RESULTS: Among 189 patients recruited, neurofilament light (NF-L) was obtained from 175 patients with TBI and 40 controls. S100 calcium-binding protein B (S100B), heart fatty-acid binding protein (H-FABP) and interleukin-10 (IL-10) were analysed for 184 patients with TBI and 39 controls. There were statistically significant differences between levels of all biomarkers between the severity classes, but none of the biomarkers distinguished patients with moTBI from patients with sTBI. Patients with mTBI discharged from the ED had lower levels of IL-10 (0.26, IQR=0.21, 0.39 pg/mL), H-FABP (4.15, IQR=2.72, 5.83 ng/mL) and NF-L (8.6, IQR=6.35, 15.98 pg/mL) compared with those admitted to the neurosurgical ward, IL-10 (0.55, IQR=0.31, 1.42 pg/mL), H-FABP (6.022, IQR=4.19, 20.72 ng/mL) and NF-L (13.95, IQR=8.33, 19.93 pg/mL). We observed higher levels of H-FABP and NF-L in older patients with mTBI. None of the biomarkers or their combinations was able to distinguish CT-positive (n=36) or CT-negative (n=58) patients with mTBI from controls. CONCLUSIONS: S100B, H-FABP, NF-L and IL-10 levels in patients with mTBI were significantly lower than in patients with moTBI and sTBI but alone or in combination, were unable to distinguish patients with mTBI from orthopaedic controls. This suggests these biomarkers cannot be used alone to diagnose mTBI in trauma patients in the acute setting.

Admission Levels of Interleukin 10 and Amyloid ß 1-40 Improve the Outcome Prediction Performance of the Helsinki Computed Tomography Score in Traumatic Brain Injury.

Background: Blood biomarkers may enhance outcome prediction performance of head computed tomography scores in traumatic brain injury (TBI). Objective: To investigate whether admission levels of eight different protein biomarkers can improve the outcome prediction performance of the Helsinki computed tomography score (HCTS) without clinical covariates in TBI. Materials and methods: Eighty-two patients with computed tomography positive TBIs were included in this study. Plasma levels of ß-amyloid isoforms 1-40 (Aß40) and 1-42 (Aß42), glial fibrillary acidic protein, heart fatty acid-binding protein, interleukin 10 (IL-10), neurofilament light, S100 calcium-binding protein B, and total tau were measured within 24 h from admission. The patients were divided into favorable (Glasgow Outcome Scale-Extended 5-8, n = 49) and unfavorable (Glasgow Outcome Scale-Extended 1-4, n = 33) groups. The outcome was assessed 6-12 months after injury. An optimal predictive panel was investigated with the sensitivity set at 90-100%. Results: The HCTS alone yielded a sensitivity of 97.0% (95% CI: 90.9-100) and specificity of 22.4% (95% CI: 10.2-32.7) and partial area under the curve of the receiver operating characteristic of 2.5% (95% CI: 1.1-4.7), in discriminating patients with favorable and unfavorable outcomes. The threshold to detect a patient with unfavorable outcome was an HCTS > 1. The three best individually performing biomarkers in outcome prediction were Aß40, Aß42, and neurofilament light. The optimal panel included IL-10, Aß40, and the HCTS reaching a partial area under the curve of the receiver operating characteristic of 3.4% (95% CI: 1.7-6.2) with a sensitivity of 90.9% (95% CI: 81.8-100) and specificity of 59.2% (95% CI: 40.8-69.4). Conclusion: Admission plasma levels of IL-10 and Aß40 significantly improve the prognostication ability of the HCTS after TBI.

One-Year Survival after Inhospital Cardiac Arrest-Does Prearrest Sepsis Matter?

AIM: Cardiac arrest is not a common complication of sepsis, although sepsis has been recognized as one condition behind cardiac arrest. Our aim was to evaluate the prevalence of sepsis among patients with inhospital cardiac arrest (IHCA), and to determine if sepsis is associated with inferior outcome after IHCA. METHODS: All consecutive emergency team dispatches in Turku University Hospital in 2011 to 2014 (n = 607) were retrospectively reviewed to identify the patients undergoing cardiopulmonary resuscitation (CPR) for IHCA (n = 301). The patient records were reviewed for the criteria of severe sepsis, organ dysfunction, and chronic comorbidities before IHCA. Outcome was followed for 1 year. RESULTS: The criteria for prearrest severe sepsis were met by 83/301 (28%) of the patients, and 93/301 (31%) had multiorgan dysfunction (3 or more organ systems). The patients with severe sepsis had higher mortality than those without severe sepsis, increasing from 30-day mortalities of 63/83 (76%) and 151/218 (69%), respectively (P = 0.256), to 1-year mortalities of 72/83 (87%) and 164/218 (75%), respectively (P = 0.030). Emergency admission, age, immunosuppression, DM, multiorgan dysfunction, and a nonshockable rhythm were independent predictors of 1-year mortality by multivariate logistic regression analysis. Six out of 83 patients with severe sepsis before IHCA (7%) survived 1 year with good neurological outcome (CPC scale 1). CONCLUSIONS: A high proportion of patients with IHCA have sepsis and multiorgan dysfunction, and their prognosis is worse than the prognosis of patients with IHCA in general.