Controlled and blinded biomarker measurement
Biomarkers were measured in a single experiment cycle by technicians blinded to clinical data, with coefficients of variation below 10% and all values above assay limits.
↳ Methods, Biomarker Analyses
Crunching the numbers. Responsibly.
INTRODUCTION: Monitoring and timely clinical assessment are fundamental to treating patients with traumatic brain injury (TBI) in the intensive care unit (ICU). Proactive, individualised treatment is unavailable with the current methods.
RESEARCH QUESTION: How do outlying blood biomarker levels associate with clinical events or outcome in TBI?
MATERIALS AND METHODS: Glial fibrillary acidic protein (GFAP), neurofilament light (NfL), interleukin-10 (IL-10) and total tau (t-tau) were analysed from blood plasma samples of 70 ICU-treated patients, aged ≥18, with a clinical diagnosis of TBI and an indication for a head CT scan. The blood samples were collected on arrival and on days 1, 2, 3 and 7. The biomarkers were screened for outliers and biomarker values outside Q1-1.5 × interquartile range (IQR) or Q3+1.5 × IQR on any day post-injury were considered outliers. The outlier group was compared with the non-outlier group targeting clinically significant aspects such as high intracranial pressure, seizures/status epilepticus, or mortality/poor outcome. The Glasgow Outcome Scale Extended (GOSE) was evaluated between 6 and 12 months after the injury.
RESULTS: Difference was found in epileptic activity (n = 7 vs n = 0) and the number of performed decompressive hemicraniectomies (n = 6 vs n = 0) between the outlier and the non-outlier groups, p = 0.015 and < 0.0001, respectively. Patients in the outlier group were also more likely to have a poor outcome (GOSE 1-3) than patients in the non-outlier group, p = 0.011.
DISCUSSION AND CONCLUSION: Biomarker outliers seem to associate with clinical events and poor outcome in ICU-treated patients with TBI, possibly due to greater severity of TBI.
Biomarker outliers seem to associate with clinical events and poor outcome in ICU-treated patients with TBI, possibly due to greater severity of TBI.
small cohort-relative analysis with severity imbalance and incomplete temporal identification
All seizure-related events (n = 7) occurred in the outlier group
direct seven-versus-zero count with adjusted association but extreme imprecision
decompressive hemicraniectomies were performed only in the patients in the outlier group.
raw six-versus-zero count remains descriptive, but the reported regression significance is unreliable
Patients in the outlier group were also more likely to have a poor outcome (GOSE 1-3) than patients in the non-outlier group, p = 0.011.
pooled association supports direction, though severity confounding and wide subgroup intervals limit interpretation
Derived from the full evaluation — not a separate score.
Strengths
Biomarkers were measured in a single experiment cycle by technicians blinded to clinical data, with coefficients of variation below 10% and all values above assay limits.
↳ Methods, Biomarker Analyses
The conclusion describes associations rather than causation and explicitly identifies greater TBI severity as a possible explanation. The discussion also treats the prognostic-model findings as hypothesis-generating.
↳ Discussion; Conclusions
Repeated measurements across arrival and days 1, 2, 3, and 7 extend the outlier question beyond admission data and connect it to clinically relevant ICU events.
↳ Abstract, Materials and Methods; Introduction, final paragraph
Limitations
The outlier group had higher total and cranial ISS and greater therapy intensity, while the hemicraniectomy and basic GOSE analyses do not credibly control this imbalance. The study therefore cannot establish that outlier status contributes information independently of injury severity.
↳ Results, Tables 2a–b and 4
Table 3 reports an odds ratio far above 100,000 with p<0.0001 for hemicraniectomy despite six procedures versus none, using an unpenalised multinomial model. This makes the abstract's reported strength of association unreliable even though the raw six-versus-zero count remains descriptive.
↳ Abstract, Results; Tables 2b and 3
Outlier status is derived from the same cohort across any of four biomarkers and five sampling days, with incomplete serial sampling. The resulting threshold is not externally validated and gives patients unequal opportunities to be classified as outliers.
↳ Methods, Statistical Analysis; Discussion, limitations paragraph
The repeated biomarker measurements and documented assay controls support a useful exploratory analysis of ICU-treated TBI. The central associations remain difficult to interpret independently because the outlier group had higher injury severity and therapy intensity, while only the seizure analysis received a substantive severity-related adjustment. Table 3's estimates under complete separation require correction, as the reported p<0.0001 is not credible from the stated model. The cautious conclusion is better calibrated than parts of the abstract and prediction-model discussion, and the results remain hypothesis-generating rather than clinically actionable.
Nabu’s assessment, alongside the field’s view.
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Limited2.8
Confidence mediumThe study extends admission-only outlier work to repeated measurements during the first ICU week, but its main result remains a descriptive association between outliers, greater injury severity, and adverse events. The null incremental mortality result and non-significant favourable-outcome improvements limit the advance.
Addition of biomarker outlier status did not materially improve performance
Assay quality control, blinded measurement, continuous monitoring, and Firth regression for seizures are competently described. Central surgery and outcome associations remain confounded by injury severity, while cohort-relative group construction, missing samples, and unstable separated estimates create substantial uncertainty.
the patients in the outlier group being more severely injured
The argument is followable and the conclusion explicitly qualifies the findings by greater TBI severity. Reporting is reduced by the unreliable hemicraniectomy p-value in the abstract, garbled CT counts, a GFAP unit inconsistency, and stronger language than warranted around non-significant AUC changes.
these findings should be interpreted as hypothesis-generating
The discussion engages prior biomarker-outlier, seizure, ICP, neurosurgical, and IMPACT/CRASH literature and acknowledges several alternative explanations. It does not fully integrate the circular cohort-relative definition or the likely effects of incomplete serial sampling into interpretation.
all patients did not have a biomarker sample from all the collection dates
Concerns4 of 4 checks
The neurosurgical regression output is internally inconsistent with complete separation, making the reported model estimates and the abstract's hemicraniectomy p-value unreliable. Other table anomalies reinforce the need for numerical and editorial correction.
Ethics approval, written consent, funding, and competing interests are declared. No affirmative data-availability, code-availability, or preregistration claim is made.
Flags: 2 declared / 5 total
37 references in manuscript 35 of 35 checkable references found in an index 2 are books, websites or datasets — counted, but not index-checkable
No retraction notice found in Retraction Watch.
Sources: Retraction Watch ✓
Where this paper’s evidence sits on the path from initial observation to real-world use.
The evidence is an initial single-centre observational signal rather than a validated monitoring tool. Incremental prognostic performance is null for mortality and non-significant for favourable outcome.
these findings should be interpreted cautiously given the small sample size
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