Diagnosis and management of severe sepsis in the paediatric patient
Bibliographic record
Abstract
Sepsis is a systemic inflammatory response to suspected or proven infection. Given its importance in terms of morbidity and mortality, a number of initiatives by several professional societies in recent years have led to the development of guidelines for the recognition and timely management of sepsis. The principal elements of the most recent guidelines are summarized in this practice point. These elements include recognition of changes in clinical condition and vital signs, such as fever, tachycardia, and changes in peripheral perfusion, which should raise concern for sepsis; initial stabilization of airway, breathing, and circulation; timely administration of empiric antimicrobial therapy; use of fluid boluses and vasoactive medications; and specific considerations in patients with underlying medical conditions, such as the use of corticosteroids for possible adrenal insufficiency due to hypothalamic-adrenal suppression. Two changes from previous guidelines are the concern for fluid overload, implying the need for clinical re-assessment after administration of each fluid bolus, and the removal of dopamine as the initial vasoactive agent for use in hypotensive paediatric patients, with recommendations for the use of epinephrine or norepinephrine as dictated by the clinical context. This practice point focuses primarily on sepsis management in older infants, children, and youth.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".