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Enregistrement W2800522099 · doi:10.1111/apa.14298

The tangled duo of anaemia and transfusion travel together, that is the problem

2018· letter· en· W2800522099 sur OpenAlexaff
Haresh Kirpalani, Robin K. Whyte

Notice bibliographique

RevueActa Paediatrica · 2018
Typeletter
Langueen
DomaineMedicine
ThématiqueRetinopathy of Prematurity Studies
Établissements canadiensIzaak Walton Killam Health Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineEtiologyRetinopathy of prematurityProspective cohort studyConfusionPediatricsAnemiaBlood transfusionIntensive care medicinePregnancySurgeryGestational ageInternal medicine

Résumé

récupéré en direct d'OpenAlex

In 1981, Dallman recognised that ‘rapid developmental changes and complex interactions for oxygen delivery (prevent us from) developing clear cut criteria for transfusion. Consequently clinical practices vary widely’ 1. This confusion remains, as an international survey shows 2. Making aetiological links to neonatal diseases and levels of haemoglobin prompting transfusions are fraught by the relationship between the two. Lundgren and coworkers in this issue provide another facet of potential clinical relevance, this time to retinopathy of prematurity (ROP) 3. Because of the central role of oxygen in ROP 4, 5, a potential aetiological role of transfusions was logically explored. A link to oxidative iron reactions was proposed in 1941 6. When VEGF was found to play a central role in the development of ROP 7, it was also found to have time-sensitive effects. Understanding the time course of VEGF in terms of postnatal age could resolve confusing disagreements between clinical studies. In the modern era, studies examining the relationship between transfusion and ROP have evolved in three historical components. First, early cohort retrospective observations proposed an aetiology for red blood cell transfusions in ROP. These studies were largely small and single site 7-12. A second wave of studies used prospective observations to examine the covariables of transfusion from blood volumes, numbers of transfusions, potential iron loading and degree and duration of anaemia 13-17. These prospective studies corroborated a dose-dependent relationship of ROP to blood transfusions, including in the first week of life but did not resolve the relationship with iron loading. None could, limited by design, resolve the interdependence of anaemia and transfusion itself. In this edition of Acta Paediatrica, Lundgren et al. again address the relationship between anaemia, transfusions and retinopathy warranting treatment (TW-ROP) 2. This retrospective cohort study of infants <28 weeks gestation relies on an apparent unit policy to obtain a daily routine haemoglobin. The investigators defined anaemia as <110 g/L and severe anaemia as <80 g/L. They collected the interdependent variables haemoglobin, days of anaemia and of severe anaemia, blood transfusion, sepsis, ventilation and duration of oxygen requirement, each over four overlapping epochs of life. The epochs range from first week of life to up to 35 weeks PMA. In the survivors to 40 weeks of postmenstrual age, 25 of 227 (11%) suffered TW-ROP. Not surprisingly, infants with TW-ROP when compared with those without were of significantly smaller birthweight (694 vs 908 g), lower gestational age (24 vs 26 weeks) and of lower haemoglobin in the first week of life (125 vs 138 g/L). Severe anaemia was also significantly more common (57% vs 53%), as was sepsis (26% vs 24%). After adjusting for gestational and postnatal age, the development of TW-ROP was significantly associated with anaemia in the first week of life, blood transfusion in the first four weeks of life, sepsis in the first four weeks of life and ventilator support in the first four weeks of life. Of importance, measures of intrauterine or postnatal weight gain were not included. After these variables were entered into a stepwise forward multivariate regression model, only three remained statistically significant (OR, 95% CI): episodes of sepsis at one week to four weeks 3.1 (1.1–9.0), days of anaemia <110 g/L OR: 1.46 (1.16–1.83) and days of ventilation from birth to 35 weeks PMA 1.03 (1.01–1.06). Clearly, there is an association between episodes of sepsis, early anaemia, days of ventilation and retinopathy of prematurity. But the relationship between TW-ROP, anaemia and transfusions could not be addressed, because anaemia and blood transfusion are highly correlated and not separable in this analysis. Here, daily measurements of haemoglobin may simply be a strong predictor of blood transfusion, in which case the transfusion variable makes no further contribution to the model. For a similar reason, a much larger Danish national study of similar design 18 identified blood transfusion rather than neonatal anaemia as a risk factor for TW-ROP; as anaemia was identified only by its ICD-10 code, it is likely that blood transfusion was representing a better estimate of anaemia in the model. The third phase of relevant studies includes trials of therapy (primarily transfusion) and not, directly, aetiology (anaemia). A Cochrane review identified four RCTS where transfusion was triggered by anaemia and found no association between the use of restrictive and liberal transfusion haemoglobin thresholds and ROP 19. The difference between randomized groups in transfusions received was modest (overall mean 1.1 transfusions per infant), as were differences in mean haemoglobin levels throughout the trials, the largest difference being 11 g/L in PINT. The trials, even when combined, were not sufficiently powered to address the effects of either anaemia or transfusion on TW-ROP (restrictive vs liberal RR: 1.04, 0.68–1.58). The review did not address a small ‘symptom-based’ trial by Brooks of late transfusion policy of infants of less than 1251 g birthweight and greater than four weeks of age 20. This design resulted in much greater differences in transfusion rates (2.8 vs 5.7 transfusion per infant) and therefore in haemoglobin (108 vs 132 g/L). No significant differences were found in any category of ROP (restrictive vs liberal 83% vs 73%); this study was also underpowered. If, in clinical practice, the point of aetiology is primarily to direct therapy, the ultimate test will be the randomized trial, even when, as in this example, the therapy (transfusion) has complex effects that go beyond simply correcting the aetiology (anaemia). Lundgren et al. contribute to the message that anaemia is strongly associated with TW-ROP 3. The relationship between TW-ROP and blood transfusion remains, as before, unaddressed.

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)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,331
Score d'incertitude au seuil0,824

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
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 Opus0,017
Tête enseignante GPT0,243
Écart entre enseignants0,226 · 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.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations3
Publié2018
Routes d'admission1
Résumé présentoui

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