A168 RATES OF <i>CLOSTRIDIOIDES DIFFICILE</i> INFECTIONS REQUIRING HOSPITALIZATION DURING THE COVID-19 PANDEMIC
Notice bibliographique
Résumé
Abstract Background Clostridium difficile infection (CDI) is the most common cause of nosocomial infectious diarrhea and is associated with a substantial burden of morbidity and mortality. Most cases of CDI are acquired through health care setting contacts, where appropriate infection prevention and control (IPC) measures such as contact isolation and proper hand hygiene have been demonstrated to prevent horizontal transmission. Aims We aimed to evaluate whether there was a reduction in CDI-related hospitalizations during the COVID-19 pandemic when an increased emphasis was placed on maintaining IPC measures. Methods We analyzed data from the National Inpatient Sample (NIS) between January 2018 and November 2020. The NIS is the largest publicly available administrative health database in the United States, capturing ampersand:003E7 million hospital admissions annually. All analyses were weighted for the complex survey design of the NIS. Temporal trends in monthly admissions for patients with CDI defined using International Classification of Disease 10th revision codes and excluding patients with established CDI carrier status were evaluated using joinpoint regression. Changes over time were expressed as monthly percent change (MPC). To establish whether temporal changes were related to a reduction in CDI or whether these were more generalized effects due to the pandemic, we compared these temporal trends to rates of hospitalizations for inflammatory bowel disease (IBD) and stroke. Results A total of 1,501,415 CDI admissions were identified. The mean age was 64.6 years and 54.2% of patient’s were female. 4.5% of admissions for CDI were associated with in-hospital mortality. Trends in hospitalization are summarized in Figure 1. Compared to the pre-pandemic period (January 2018-December 2019) CDI-related hospitalizations decreased by 9.1%/month [95% CI: -19.2%, +2.0%] (p=0.12) in early 2020 (January-March 2020). This reduction was not sustained: hospitalizations subsequently increased by +8.0% [95% CI: -4.0%, +21.6%] (p=0.19) in mid-2020 (April-June 2020) and were stable after July 2020 (MPC -0.9% [95% CI: -3.5%, +1.7%], p=0.48). Similar patterns were observed for both IBD and stroke-related hospitalizations. Total hospitalizations per month for CDI were similar by June 2020 as compared to the year preceding the pandemic. Conclusions Although an initial decrease in the rates of CDI hospitalizations were seen early in the pandemic (January-March 2020), this pattern was similarly seen for other chronic and acute conditions, and this has not been sustained long-term. Figure 1. Rates of CDI admissions (2018-2020) Funding Agencies 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 machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».