Notice bibliographique
Résumé
My three Editor’s Choices for the October issue of Pediatric Critical Care Medicine (PCCM) highlight important aspects of what is understood by brain involvement during critical illness. We now use a range in terminologies, but what do they mean and what is their significance? So, my three choices are: first, sepsis and “encephalopathy”; second, sepsis and “acute disorders of consciousness”; and third, outcome after “acquired brain injury.” The PCCM Connections for Readers focuses on team continuity during prolonged PICU admission. WHAT IS THE RELEVANCE OF A SEPSIS-RELATED PHENOTYPE WITH SHOCK, PERSISTENT HYPOXEMIA, AND ENCEPHALOPATHY? Sanchez-Pinto LN, Bennet T, Stroup EK, et al: Derivation, Validation, and Clinical Relevance of a Pediatric Sepsis Phenotype With Persistent Hypoxemia, Encephalopathy, and Shock (1). In my first Editor’s Choice we return to the topic of time course and trajectory in sepsis and septic shock (2–5), but with the added nuance of a phenotype that includes the term “encephalopathy.” However, what is meant by “encephalopathy” in this context? Our authors identified encephalopathy retrospectively using a Glasgow Coma Scale (GCS) score that was most frequently in the category 10 to 12 (1,6), which would be classified as a moderate severity injury in traumatic brain injury (TBI). The 2012–2018 cohort has over 15,000 pediatric patients with sepsis-associated multiple organ dysfunction syndrome (MODS) and the encephalopathy phenotype was present in 1-in-3 cases (1). Please read the report as well because the accompanying editorial which, together, provide important details about the meaning and trajectory of such brain symptomatology during sepsis-associated MODS (7). WHAT IS THE SIGNIFICANCE OF SEPSIS-INDUCED MULTIORGAN FAILURE ASSOCIATED WITH ACUTE DISORDER OF CONSCIOUSNESS? Cheung C, Kernan K, Berg RA, et al; Eunice Kennedy Shriver National Institute of Child Health and Human Development Collaborative Pediatric Critical Care Research Network: Acute Disorders of Consciousness in Pediatric Severe Sepsis and Organ Failure: Secondary Analysis of the Multicenter Phenotyping Sepsis-Induced Multiple Organ Failure Study (8). My next Editor’s Choice article is a secondary analysis of data from the multicenter, prospective PHENOMS (Phenotyping Sepsis-Induced Multiple Organ Failure Study) cohort, 2015–2017 (5,9). The authors defined “acute disorder of consciousness” as a GCS score below 12 in the absence of sedatives on the initial study day of sepsis-induced organ failure; therefore, in essence, a definition like the criterion for encephalopathy used in my first Editor’s Choice (1). In a population of 401 patients, 1-in-5 cases had the depressed GCS phenotype, and the authors go on to describe clinical and laboratory characteristics—another theme that we have followed closely in PCCM (5,9–11). The editorial gives us a broad view of how we can “unravel the intricate relationship between sepsis, organ dysfunction, and neurologic manifestations in pediatric patients” (12). As a reader of PCCM you may also want to review our recent material about timing of acute neurologic dysfunction in relation to sepsis recognition (13,14) and the choice of clinical assessment (15). Finally, also consider the computational phenotype of “acute brain dysfunction” regarding database research—based on using neuroimaging or electroencephalography as part of evaluating neurologic change—which had better diagnostic performance than the GCS in sepsis (16). WHAT IS THE TARGETED APPROACH TO ASSESSING 1-MONTH, POST-PICU, NEUROPSYCHOLOGICAL OUTCOMES IN SCHOOL-AGED CHILDREN WITH ACQUIRED BRAIN INJURY? Williams CN, Hall TA, Baker VA, et al: Follow-up After PICU Discharge for Patients With Acquired Brain Injury: The Role of an Abbreviated Neuropsychological Evaluation and a Return-to-School Program (17). My third Editor’s Choice article about brain health extends the Journal’s theme on follow-up programs and PICU outcomes and is a link between neurology during PICU admission and morbidity at follow-up. For example, in 2021, there was a scoping review of instruments and methods for assessing overall health after PICU admission (18) and, in 2022, there was description of a core outcome measurement set for evaluating PICU survivorship (19,20). The Journal also published three descriptions of structured follow-up by clinical programs in Canada, the United States, and the Netherlands (21–24). There was the most comprehensive and detailed clinical research analysis of physical, emotional/behavioral, and neurocognitive developmental outcomes 2−4 years after PICU admission in over 600 patients from a randomized clinical trial cohort (25,26). Two neurocritical programs in the US describe a multidisciplinary 1-month follow-up of 289 school-aged children at-risk of cognitive impairment, because of “acquired brain injury” most commonly due to TBI with GCS 9 to 13 (17); rather like the GCS of patients in my first two Editor’s Choices (see above). Of note here, the authors describe using an abbreviated battery of neuropsychological tests that proved useful in identifying new impairments and screening for referral to specialist services. There is an accompanying editorial (27). This third Editor’s Choice article (17), when considered in conjunction with the other choices (1,8), made me want to re-read the 1- and 3-month outcomes work of the LAPSE (Life After Pediatric Sepsis Evaluation) investigators in their 2014–2017 sepsis cohort (28,29), and their most recent publications (i.e., one also appearing in this month’s issue (30), and another with 12-month outcomes appearing later this year (31)). There is much to consider. “PCCM CONNECTIONS” FOR READERS This month’s topic for educational review is a Society of Critical Care Medicine (SCCM)-endorsed Special Article from the Lucile Packard Foundation PICU continuity panel (32). Thirty-seven experts have generated 17 consensus statements about continuity strategies for long-stay PICU patients. Please read the article and, as context, see the experts’ previous survey of contemporary practices and perceptions in US PICUs with training fellowship programs (33) and the accompanying editorial published in June 2023 (34). This Special Article adds to the Journal’s compendium on pediatric chronic critical illness. I recommend the scoping review on case definition of pediatric chronic critical illness (35) and the description of prevalence in a single center (36). Next, consider reading about an overlapping entity called pediatric complex chronic condition (or medical complexity); it has variable identification in US PICUs (37), yet accounts for high-frequency PICU utilization (38). Finally, read the qualitative analysis of clinical care strategies that support parents of children with complex chronic conditions, particularly during their child’s end-of-life care in the PICU (39,40).
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,073 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,003 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,009 | 0,006 |
| Science ouverte | 0,004 | 0,003 |
| Intégrité de la recherche | 0,013 | 0,012 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,160 | 0,070 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».