The LINK—Lombardia NeuroIntensive care Network
Bibliographic record
Abstract
BACKGROUND: Despite serving over 10 million inhabitants, neurocritical care across the Lombardy region of Italy (from here on Lombardia) remains fragmented and insufficiently mapped, underscoring the need for a structured regional network. This study aimed to evaluate current resources and explore pathways for integration and development. METHODS: In 2024, along with other initiatives, a web-based survey was performed, focusing on hospitals with neurosurgical capabilities and intensive care units (ICUs) to identify variations in service delivery and adherence to evidence-based practices, guiding quality improvement across centers. RESULTS: Responses were obtained from 19 acute care hospitals with neurosurgical facilities within the regional health service. Ten hospitals (52%) host dedicated neuro-ICUs, including five (26%) that also admit pediatric patients, accounting for a total of 85 beds. In the remaining nine hospitals (47%), neurocritical care is delivered within general ICUs without dedicated beds. Continuous in-house neurosurgical coverage is available in 9 centers (47%), while the others rely on a 24/7 on-call model. All 19 centers (100%) report 24/7 availability of neurologists and neuroradiologists, either in-house or on call. However, access to advanced diagnostic and monitoring technologies remains heterogeneous across sites. Participating centers identified a clear need for standardized protocols and clinical pathways to improve care quality and support evidence-based practices. Priority areas defined by the clinicians include neuroprognostication, end-of-life care and donor management, pediatric neurocritical care, neurointerventional procedures, management of delayed cerebral ischemia following subarachnoid hemorrhage, and post-discharge follow-up. To address these gaps, several multidisciplinary working groups have been established. CONCLUSION: Neurocritical care in Lombardia remains highly heterogeneous, with bed availability significantly below international benchmarks. The establishment of a regional network seeks to enhance the quality and equity of care for neurocritical patients, while also fostering clinical research, data sharing, and multidisciplinary collaboration across centers.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".