Impact of the calf circumference on the intra-hospital mortality of elderly
Notice bibliographique
Résumé
Introduction: The theme of aging is addressed in several global scenarios, ranging from basic research to the formulation of effective clinical practices. In this perspective, the aging brings with it functional and physiological decreases of organs and tissues in different degrees, being among them Sarcopenia. This is defined as reducing the amount of muscle mass, strength and motor performance in elderly individuals. One of the ways to verify these alterations of the muscular system is through the anthropometric measurements, with emphasis on the Calf Circumference (CP). Regarding the use of CP, it is known that this can be used as a predictor of muscle mass loss, sarcopenia screening and fragility syndrome. Objective: To evaluate the prediction of mortality risk through CP values in hospitalized elderly. METHODS: This is a quantitative, longitudinal and descriptive study consisting of a prospective cohort. This study comes from a project cut "Development of a care line for the hospitalized elderly of the HUSM" under CAAE "48212915.50000.5346. Data collection took place between September 2015 and July 2016 at the Hospital Universitário de Santa Maria / RS (HUSM). of this study were 493 elderly, 57 of whom were excluded due to their inability to respond to the questionnaires (due to cognitive or communication deficits), because they did not have any time at the hearing, because they did not receive the necessary data or because they did not have CP measurement, totaling 436 (pneumonia, falls, ITU, TVP, delirium and urinary incontinence) and as a variable of study of CP values (<31 cm or ≥31 cm) were used as descriptive variables: age, gender, length of hospital stay and complications ), ISAR (Identification of elderly at risk), CAM (Confusion Evaluation Method), EFS (Edmonton Fragility Scale) and death. A descriptive analysis was performed (frequency, mean and median y), chi-square test, multivariate logistic regression regression, and Kaplan Meyer mortality curve, higher than version 0.05 (SPSS 21.0). Results: Subjects aged between 60 and 100 years (median 72,17 years), 54,8% (n = 239) men. The dates of minimum stay of 1 day and maximum of 85 days (median of 9 days); the majority of patients 51,4% (n = 224) observed in-hospital changes; 20.0% (n = 87) of the elderly were abito and 29,8% (n = 130) had CP value lower than 31 cm. Compared with the advancement time between individuals with CP of 31 or greater, with less time of 31 cm was identified that the digital CP with 31 cm or greater survival, when compared with the smaller indicators. The same occurred with a mortality, elderly individuals with CP less than 31 cm had 2,365 more chances to wait (confidence interval 1,116 to 5,013), independent of gender, age, delirium diagnosis and ISAR (Equal distribution test) . p = 0.002), when it comes to the logistic regression of an EFE variable, there was a dependence on death, which suggested that it could be applied as a complement to the CP screening. CONCLUSIONS: Because the study was able to verify that CP values <31 cm are associated with higher clinical outcomes in hospitalized elderly, a questionnaire can be used as an independent diagnosis of age, gender, diagnosis of delirium and ISAR.
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 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».