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Enregistrement W4388516247 · doi:10.1093/infdis/jiad490

Reply to Zayet et al

2023· letter· fr· W4388516247 sur OpenAlexafffund
Núria Balanza, Caroline K Francis, Valerie M. Crowley, Andrea M. Weckman, Kathleen Zhong, Bàrbara Baró, Rosauro Varo, Quique Bassat, Kevin C. Kain

Notice bibliographique

RevueThe Journal of Infectious Diseases · 2023
Typeletter
Languefr
DomaineMedicine
ThématiqueRespiratory Support and Mechanisms
Établissements canadiensUniversity of TorontoToronto General HospitalUniversity Health Network
Organismes subventionnairesCanadian Institutes of Health ResearchUniversitat de BarcelonaInstitució Catalana de Recerca i Estudis Avançats
Mots-clésMedicine

Résumé

récupéré en direct d'OpenAlex

To the Editor—We thank Zayet et al for their comment on our work [1]. In this study, we quantified neurofilament light chain (NfL) in plasma from 167 children with uncomplicated malaria (UM) and severe malaria (SM) from Mozambique. We reported that NfL levels were similar in all malaria cases at hospital admission, but levels increased over time and the increment was more pronounced in SM with neurological manifestations. We appreciate the opportunity to extend the discussion of these findings. We defined neurological manifestations as presenting to the hospital with coma, impaired consciousness, or a history of ≥2 seizures in the previous 24 hours. However, we agree that results from our study cannot be generalized to all forms of malaria with some kind of neurological involvement. The association of NfL longitudinal levels with other neurological manifestations during the acute phase of the disease, postmalarial neurological complications, or long-term neurocognitive impairment could bring new insights. As Zayet et al point out, NfL levels in blood and cerebrospinal fluid of healthy individuals vary by age. The literature available suggests NfL levels are higher in younger children, decrease progressively until children reach 10–15 years old, and increase afterwards during adulthood [2–4]. As we included children from 1 to 12 years old, we adjusted linear mixed-effects models for child age. In all models, NfL levels were negatively associated with age. Future studies on NfL need to consider age carefully in the design and analysis stages. Moreover, it will be important to determine how NfL levels and longitudinal dynamics vary between pediatric and adult populations with malaria disease. As noted, there were 2 deaths in the SM group with neurological manifestations. These deaths occurred rapidly and we only had information on their NfL levels at one timepoint. One of the deaths corresponds to a 4-year-old boy, who at admission displayed impaired consciousness and had a plasma NfL concentration of 14.7 pg/mL. The other death occurred in a 2-year-old boy, who was admitted with coma and a history of repeated seizures, and had a plasma NfL level of 67.3 pg/mL at 12 hours postadmission. Although some studies have previously associated NfL levels with mortality in patients with infectious diseases [5, 6], we cannot draw meaningful conclusions about the NfL prognostic accuracy for death in children with malaria. A final point raised is that a past history of malaria in children could contribute to cumulative neuronal damage. We indicated this in the limitations, but we lacked detailed information on previous episodes of malaria to consider this in our analysis. However, while previous infections could affect basal NfL levels, in our study we also evaluated NfL longitudinal dynamics during a specific malaria episode. Further research is necessary to confirm and extend our results. Larger cohorts; additional timepoints for NfL measurement; consideration of other potential confounders; and evaluation of neuroimaging, electroencephalographic results, and long-term neurocognitive outcomes are warranted. Only then would we be able to determine the clinical utility of NfL and how its measurement, including cutoff values for intervention, could improve outcome for malaria patients. Nevertheless, our results advance our knowledge of brain injury pathobiology in pediatric malaria and suggest that NfL may prove useful in identifying and quantifying brain injury in malaria. We hope that these results will motivate additional research with a goal of reducing neurocognitive impairment and other adverse outcomes in malaria. Financial support. The discussed work was supported by the Canadian Institutes of Health Research Foundation grant FDN-148439 (to K. C. K.); a Canada Research Chair in Molecular Parasitology (to K. C. K.); and the Thomas Mather Fund (to K. C. K.). ISGlobal receives support from the grant CEX2018-000806-S funded by MCIN/AEI/10.13039/501100011033, and support from the Generalitat de Catalunya through the CERCA program. This research is part of ISGlobal's Program on the Molecular Mechanisms of Malaria, which is partially supported by the Fundación Ramón Areces. Centro de Investigação em Saúde de Manhiça is supported by the Government of Mozambique and the Spanish Agency for International Development. N. B. is supported by an FPU predoctoral fellowship from the Spanish Ministry of Universities (FPU18/04260). B. B. is a Beatriu de Pinos postdoctoral fellow granted by the Government of Catalonia's Secretariat for Universities and Research and by the Marie Sklodowska-Curie Actions COFUND Program (BP3, 801370). R. V. had a fellowship from the program Río Hortega of the Instituto de Salud Carlos III (CM16/00024) during the conduct of the study.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,039
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,118
Score d'incertitude au seuil0,047

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,039
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0060,004
Communication savante0,0070,004
Science ouverte0,0030,003
Intégrité de la recherche0,1180,058
Charge utile insuffisante (le modèle a refusé de juger)0,0110,010

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 Opus0,021
Tête enseignante GPT0,302
Écart entre enseignants0,281 · 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 source (Gemma direct ou Codex distillé), 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

Citations2
Publié2023
Routes d'admission2
Résumé présentnon

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