Impact of obesity on admissions for COVID-19 with concurrent prostate cancer.
Notice bibliographique
Résumé
e17110 Background: Obesity is a significant risk factor for prostate cancer and its associated mortality. Recent studies have shown that a five-point rise in BMI can lead to a 10% rise in death among these patients. Since the pandemic of COVID-19, obesity has also been associated with poorer outcomes among the general population. As there is a paucity of data on the impact of obesity among prostate cancer admissions with COVID-19, we conducted a retrospective study to provide a novel perspective. Methods: Patients with a diagnosis of COVID-19 were used for our study from the 2020 National Inpatient Sample. We included cases between April 2020 to December 2020. Hospitalization records with prostate cancer and obesity were also identified via their respective ICD-10 codes. The differences in outcomes, including non-invasive ventilation, use of mechanical ventilation, pulmonary embolism, events of Acute Kidney Injury(AKI) and in-hospital mortality were compared between obese and non-obese patients with a history of prostate cancer, admitted for COVID-19. We also compared the mean lengths of stay, mean ages between the two groups, and their overall mean hospitalization charge. Results: A total of 7165 prostate cancer patients were hospitalized with COVID-19 between 1st April 2020 to 31st December 2020 in the United States. 1065 (14.9%) were obese. Prostate cancer patients admitted with COVID-19 who were obese were also younger (mean age 71.75 years) than those who were not obese (77.50 years) and recorded a more extended stay (mean LOS 9.68 days vs. 7.93 days). Obese patients also recorded a higher adjusted odds ratio for needing non-invasive ventilation (aOR 1.736, 95% CI 1.331-2.263, p < 0.01), mechanical ventilation (aOR 1.894, 95% CI 1.533-2.340, p < 0.01), events of acute kidney injury (aOR 1.328, 95% CI 1.137-1.550, p < 0.01), and in-hospital mortality (aOR 1.246, 95% CI 1.033-1.502, p = 0.021). While more patients with obesity developed pulmonary embolism (4.2% vs. 3.6%) after adjusting for confounders, the result was not statistically significant (aOR 1.258, 95% CI 0.879-1.800, p = 0.209). Obese patients also recorded a higher mean hospital charge compared to non-obese cases ($117200.50 vs. $81028.15). Conclusions: Obesity in prostate cancer patients admitted with COVID-19 is linked with several poor outcomes and complications, including AKI, mechanical ventilation, non-invasive ventilation, and mortality. Thus, physicians must identify such cases as higher-risk and encourage closer monitoring during their hospitalizations.
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 | 0,000 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».