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Enregistrement W7161938671 · doi:10.82308/42763

Incidence and outcomes of non-communicable pediatric diseases during the COVID-19 pandemic: An interrupted timeseries analysis

2022· dissertation· en· W7161938671 sur OpenAlexaboutno aff
Francesca del Giorgio

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineMedicine
ThématiqueCOVID-19 and healthcare impacts
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPandemicIncidence (geometry)Psychological interventionEmergency departmentRetrospective cohort studyAppendicitisCohortMedical diagnosis

Résumé

récupéré en direct d'OpenAlex

In response to the onset of the COVID-19 pandemic, many countries implemented public health interventions aimed at reducing the spread of the virus, such as social distancing and closure of all non-essential services, as well as closure of daycares and schools. Concerns have however been raised over the negative consequences of the COVID-19 pandemic and its associated interventions on healthcare systems and access to healthcare. Notably, worldwide reductions in pediatric emergency department (ED) visits were observed shortly after the onset of the pandemic. While this drop in ED visits has been attributed to a general reduction in infectious diseases other than SARS-CoV-2, concerns were raised over delayed treatment and worse prognosis for pediatric patients with chronic or non-communicable diseases. However, the impact of the pandemic on non-communicable pediatric diseases remains largely unknown.This study aimed to quantify whether there was a change in incidence of children (<18 years) presenting with 1) appendicitis and 2) confirmed or suspected cancers at the pediatric ED during the first year of the COVID-19 pandemic relative to prior to the pandemic in Quebec, as well as whether there were any changes in severity of pediatric patients with these diseases.This retrospective cohort study made use of the computerized emergency and admissions database of the two large tertiary-care pediatric centers in Montreal, Quebec: The McGill University Health Center (MUHC) and the Centre hospitalier universitaire Sainte-Justine (CHU-SJ). The diagnoses of interest included children with appendicitis in the first manuscript and children with confirmed or suspected cancer in the second manuscript. An interrupted timeseries design (ITS) was used to quantify the change in bi-monthly incidence of ED visits for the diagnoses of interest via Poisson regression or negative-binomial regression, as appropriate, adjusted for underlying baseline trend, seasonality, long term cycles, and hospital site. Outcomes of interests included the change in incidence at the onset of the COVID-19 pandemic (March-April 2020) and the change in bi-monthly trend throughout the first 14 months of the pandemic compared to the predicted incidence from a four-year historical control period (January 2016-February 2020). There was evidence of a 14% increase in appendicitis diagnoses at the pediatric ED (Incidence Rate Ratio(IRR)= 1.14, 95% CI= 1.01 ; 1.28). This increase remained stable throughout the first 14 months of the pandemic (IRR=1.00 , 95% CI= 0.95 ; 1.04). There was evidence of a decrease in average LOS for appendectomies during the pandemic (-0.88 days 95% CI= -1.65 ; -0.12), but any change in risk of perforation or surgical drainage remained ambiguous (risk ratio= 0.83, 95% CI= 0.52 ; 1.32). A 39% reduction in overall ED visits for children with suspected and confirmed cancers was observed at the onset of the pandemic (IRR= 0.65, 95% CI: 0.53, 0.79), followed by a gradual increase in cases to baseline throughout the pandemic (IRR=1.11, 95% CI: 1.05, 1.17). There was evidence of a reduction in risk of multiple readmissions during the pandemic relative to the pre-pandemic risk (HR= 0.83, 95% CI= 0.74 ; 0.93).This study found evidence of an increase in visits for appendicitis and a reduction in visits for suspected cancers at the pediatric ED during the COVID-19 pandemic relative to previous years. Potential associations between SARS-CoV-2 infection and onset of appendicitis should continue to be investigated. There was no indication of changes in severity of patients with appendicitis during the pandemic, indicating that delays in seeking medical treatment were not common or did not affect the prognosis of patients. The observed reduction in suspected cancer diagnoses and oncology ward admissions may be related to fewer non-SARS-CoV-2 viral transmissions during the first months of the pandemic, and/or in delays in seeking medical advice

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)0,003
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
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 enseignants0,068
Score d'incertitude au seuil0,136

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,003
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,055
Tête enseignante GPT0,436
Écart entre enseignants0,381 · 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'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

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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