COVID-19 Patients’ Symptoms: Gastrointestinal Presentations, Comorbidities and Outcomes in a Canadian Hospital Setting
Notice bibliographique
Résumé
ABSTRACT Background The Coronavirus disease 2019 (COVID-19) pandemic has had significant global impact. While public health interventions and universal health insurance has been credited with minimizing transmission rates in Canada relative to neighboring countries, significant morbidity and mortality have occurred nationwide. We sought to determine factors associated with differences in gastrointestinal outcomes in COVID-19 patients at a Canadian hospital. Methods We collected data from 192 hospital records of COVID-19 patients across seven Hamilton Health Sciences hospitals, a network of academic health centres serving one of the largest metropolitan areas in Canada. Statistical and correlative analysis of symptoms, comorbidities, and mortality were performed. Results There were 192 patients. The mean age was 57.6 years (SD=21.0). For patients who died (n=27, 14%), mean age was 79.2 years old (SD=10.6) versus 54 years for survivors (SD=20.1). There was a higher mortality among patients with older age ( p= 0.000), long hospital stay ( p= 0.004), male patients ( p= 0.032), and patients in nursing homes ( p= 0.000). Patients with dyspnea ( p= 0.028) and hypertension ( p= 0.004) were more likely to have a poor outcome. Laboratory test values that were significant in determining outcomes were an elevated INR ( p= 0.007) and elevated creatinine ( p= 0.000). Cough and hypertension were the most common symptom and comorbidity, respectively. Diarrhea was the most prevalent (14.5%) gastrointestinal symptom. Impaired liver function was related to negative outcome (LR 5.6; p =0.018). Conclusions In a Canadian cohort, elevated liver enzymes, prolonged INR and elevated creatinine were associated with poor prognosis. Hypertension was also linked to a higher likelihood of negative outcome. SUMMARY BOX What is already known about this subject? The prevalence of gastrointestinal symptoms in COVID-19 patients across Canada is lacking Gastrointestinal manifestations of COVID-19 are well described, and longterm sequelae of gastrointestinal tract involvement are an ongoing concern What are the new findings? There was a significant prevalence of gastrointestinal symptoms in patients with a confirmed diagnosis of COVID-19 at one of the largest metropolitan regions across Canada Liver enzyme abnormalities were common in patients at diagnosis This report, over an 8-month period, represents the largest cohort of COVID-19 patients reported in Canada How might these results impact on clinical practice in the foreseeable future? Baseline gastrointestinal symptoms and laboratory abnormalities correlate with patient outcome in Canadian COVID-19 patients These results enhance our knowledge of the prevalence of gastrointestinal symptoms and laboratory abnormalities in Canadian patients and offer important baseline data for longitudinal studies in these patients Our findings increase our knowledge of the epidemiology of COVID-19 in Canada and allow future comparison with international data
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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 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 ».