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Enregistrement W2582161515 · doi:10.1111/apa.13690

Admission hypo‐ and hyperthermia are associated with increased mortality and morbidity in very preterm infants

2017· letter· en· W2582161515 sur OpenAlexaboutno aff
Julia Maletzki, Stephanie Adzikah, Christoph M. Rüegger, Dirk Bassler

Notice bibliographique

RevueActa Paediatrica · 2017
Typeletter
Langueen
DomaineMedicine
ThématiqueNeonatal Respiratory Health Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineHyperthermiaRectal temperatureHypothermiaPediatricsGestationGestational agePregnancyAnesthesiaInternal medicine

Résumé

récupéré en direct d'OpenAlex

Commentary on: Lyu Y, Sha PS, Ye XY, Waree R, Piedboeuf B, Deshpandey A, Dunn M, Lee SK, for the Canadian Neonatal Network. Association between admission temperature and mortality and major morbidity in preterm infants born at fewer than 33 weeks′ gestation. JAMA Pediatr 2015; 169: e150277. Even though the pathophysiologic mechanisms of hypo- and hyperthermia and their impact on infants’ outcome have been known for a long time, most previous research merely covers one end of the temperature scale, namely hypothermia. In this Canadian Neonatal Network study, Lyu et al. retrospectively investigated the effect of admission body temperature (low and high) on adverse outcomes of preterm infants. The nationwide participation resulted in an impressive number of included infants with only very few dropouts. Nevertheless, there are a few comments to make. The authors define the admission temperature as the temperature taken with the first vital signs within the first hour of the infant's admission to the NICU. Information about the infant's chronological age when admission temperature was measured is missing. There is no standard protocol to measure the admission temperature. Not only does the location of temperature acquisition vary (rectal vs. axillary) but also the temperature detecting device. The authors cite Craig et al. 1 who concluded that there is a pooled mean temperature difference of 0.17°C between axillary and rectal temperatures. This indicates only a small – probably not significant – difference between the two measurement locations. They forgot to mention that the range of temperature difference was wide and that the temperature measurement device (mercury vs. electronic) plays an important role. Mercury thermometers had narrower limits of agreement when comparing axillary vs. rectal temperatures. Other studies also come to the conclusion that axillary and rectal temperatures are not interchangeable in preterm infants 2. Important, but not documented, are possible confounders such as the mother's temperature at birth and the time needed to transport the baby from the delivery room to the NICU. Other confounders such as ventilation with a dry circuit and the use of fluids for resuscitation are not mentioned, as well. The authors included factors like these in their infants’ characteristics (Apgar score <7 with five minutes, SNAP II >20, resuscitation needed) and applied a univariate analysis, which showed that these factors were associated with admission temperature. In addition, the primary composite outcome may contain too many individual components. Schmidt et al. 3 presented a count of three major neonatal morbidities, namely bronchopulmonary dysplasia, brain injury and severe retinopathy of prematurity, as the most important prognostic factors for neurodevelopmental outcome at 18 months. Bassler et al. 4 showed that necrotising enterocolitis and sepsis (except meningitis) are weaker predictors of a poor long-term outcome. Late-onset sepsis, on the other hand, has been shown to be inversely correlated with hypothermia 5, which might have been the reason for adding sepsis to the composite primary outcome. For the secondary outcome, the authors calculated the admission temperature at which each single adverse outcome was at its lowest rate. This is interesting on a theoretical basis, but not applicable for clinical everyday life. In conclusion, the authors found an association between hypo- and hyperthermia and an adverse neonatal outcome, which calls for continuous monitoring of body temperature in extremely preterm infants as part of routine resuscitation. https://ebneo.org/2016/11/admission-hypo-and-hyperthermia-are-associated-with-increased-mortality-and-morbidity-in-very-preterm-infants None. None.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,005
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,032
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,003
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,067
Tête enseignante GPT0,347
Écart entre enseignants0,280 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2017
Routes d'admission1
Résumé présentoui

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