Childhood morbidity after severe traumatic brain injury: Increased detection with the Multiattribute Health Status Classification
Bibliographic record
Abstract
OBJECTIVES: Study 1: To determine the interrater agreement on the Multiattribute Health Status Classification (MAHSC) for brain-injured children. Study 2: To determine the outcome of severe childhood traumatic brain injury (TBI) by comparing three measures: MAHSC, Functional Independence Measures (FIM/WeeFIM), and the Glasgow Outcome Scale. Designs: Study 1: Clinic recruitment of parents of patients. Study 2: Surveillance follow-up of an inception cohort. Settings: Study 1: The Brain Injury Clinic, Glenrose Rehabilitation Hospital, Edmonton, Canada. Study 2: Pediatric Intensive Care Unit, University of Alberta Hospital. PATIENTS: Study 1: Two physiatrists and parents of 50 children (5-18 yrs, 54% boys) independently completed the survey. Study 2: From a cohort of 51 patients (3-17 yrs, 69% boys, 6 deaths) consecutively admitted to the pediatric intensive care unit in 1995 and 1996 with severe TBI (Glasgow Coma Score </= 8 within the first 24 hrs postinjury), parents of all survivors (71% boys) completed outcome measures at 6-12 months postinjury. MEASUREMENTS AND MAIN RESULTS: Study 1: The interrater agreement exceeded 70% for attributes of sensation, mobility, cognition, self-care, and general health. Study 2: Of 45 survivors, 34 (76%) had a "good recovery" on the Glasgow Outcome Scale, 16 (36%) had normal scores on the FIM/WeeFIM, and only 8 (18%) had normal attributes on the MAHSC. Correlations of measures were Glasgow Outcome Scale and MAHSC, -.73; Glasgow Outcome Scale and FIM/WeeFIM,.64; and MAHSC and FIM/WeeFIM, -.63. Sensitivity and specificity from acute injury predictors for the Glasgow Outcome Scale were 88% and 91%, respectively; for MAHSC 75% and 70%; and for FIM/WeeFIM 63% and 75%. CONCLUSIONS: The MAHSC has a high interrater reliability after brain injury and is a useful parent-report surveillance tool to audit outcome after severe TBI. It identified problems not addressed by the Glasgow Outcome Scale or FIM/WeeFIM. Most children with severe TBI have adverse outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".