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Enregistrement W4399510709 · doi:10.4103/jrms.jrms_516_23

Increased rate of skin and soft-tissue infections after chickenpox: Is it related to the COVID-19 pandemic?

2024· article· en· W4399510709 sur OpenAlexaboutno aff
Shirin Sayyahfar

Notice bibliographique

RevueJournal of Research in Medical Sciences · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueHerpesvirus Infections and Treatments
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineChickenpoxCoronavirus disease 2019 (COVID-19)PandemicSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakVirologyDermatologyPathologyVirusOutbreakInfectious disease (medical specialty)

Résumé

récupéré en direct d'OpenAlex

Skin and soft-tissue infections (SSTIs) are the known secondary bacterial infections after chickenpox.[1] Group A β-hemolytic Streptococcus (GABHS) and Staphylococcus aureus are the major causative organisms in this regard. This complication usually occurs in previously healthy children. However, some cases may have a history of nonsteroidal anti-inflammatory drugs (NSAIDs) consumption before or during the appearance of chickenpox manifestations.[2] In the spring and summer of 2023, we noticed an increased incidence of SSTIs after chickenpox in Tehran as well as in different provinces of Iran. Totally, during 2 months, four patients with SSTIs were admitted to our hospital following chickenpox [Table 1], of whom 50% were male. The mean age of the patients was 6.75 ± 3.41 (1–10) years. The interval between the onset of symptoms of chickenpox and the emergence of SSTI was 8.25 ± 2.48 days. Totally, 50% of our cases had used NSAIDs. The manifestation of SSTI was cellulitis in all cases, which led to abscess formation in 75% of them. All cases with abscess formation underwent surgery and drainage. None of the cases had positive blood or discharge cultures. The mortality rate was zero.Table 1: The characteristics of the patientsInterestingly, an increased rate of streptococcal scarlet fever and streptococcal pharyngitis was noticed before and during the outbreak of postchickenpox SSTIs in Iran. This increase occurred following a period of reduced incidence of Group A Streptococcus (GAS) infections during the COVID-19 pandemic. Several European countries have also reported the experience of an increased number of GAS infections during 2022.[3,4] A literature review revealed a similar report of the increased rate of SSTIs after chickenpox in 2003 in Canada and a relationship between the increased rate of GABHS infections and postchicken pox SSTIs.[1] Young children have experienced less exposure to GAS and are unlikely to possess antibodies against streptococcal proteins. Therefore, after varicella–zoster virus (VZV) infection as a predisposing factor for exposure to GAS, they are at increased risk of SSTIs.[1] The mean age of our patients was 6.75 ± 3.41 years. The low incidence of GABHS in recent years and prevention measures, especially during COVID-19 pandemic, might be a reason for the older age of our cases. The increased rate of GABHS infection cases after the end of the COVID-19 pandemic might be due to reduced compliance with prevention measures, social distancing, and restrictions, resulting in increased streptococcal exposure and infection. In addition, coinfection of viruses such as influenza, respiratory syncytial virus, and VZV with GAS may increase the risk of invasive GAS (iGAS) infections. Increased circulation of respiratory viruses after reduction of COVID-19 infection may be an important reason for increased iGAS cases in the pediatric age group.[3,4] Skin lesions due to VZV infection are another risk factor for GAS infections.[4] In total, 50% of our patients had used NSAIDs for several days before admission. NSAIDs can reduce leukocyte recruitment through granulocyte function impairment, leading to staphylococcal and streptococcal infections facilitation.[2] By relieving pain, reducing swelling, and suppressing fever, NSAIDs may also mask the signs of disease progression, and delay in diagnosis and treatment of SSTIs.[2] Totally, 75% of our cases led to abscess formation. However, we could not isolate the causative organism of SSTIs despite drainage of the abscess, probably secondary to wide-spectrum antibiotic usage before surgery. Similarly, the blood cultures were all negative. In conclusion, it seems that the overlap of GAS and VZV infections was the main reason for increased cases of SSTIs following chickenpox. Indeed, the COVID-19 pandemic caused a significant decrease in childhood infections. At the end of the pandemic, decreased compliance with prevention measures, resulted in increased viral infections, especially influenza. Influenza as a predisposing factor for bacterial superinfections was followed by an increase in cases of streptococcal infections. The overlap of chicken pox and streptococcal infection outbreaks caused a significant rise in postchickenpox SSTIs. Financial support and sponsorship Nil. Conflicts of interest There are no conflicts of interest.

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)0,013
score de la tête « metaresearch » (Gemma)0,004
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,866
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0130,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,120
Tête enseignante GPT0,502
Écart entre enseignants0,382 · 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'étudeSans objet
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
Publié2024
Routes d'admission1
Résumé présentoui

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