Additional file 1 of Clustering of critically ill patients using an individualized learning approach enables dose optimization of mobilization in the ICU
Notice bibliographique
Résumé
Additional file 1. Figure S1: Elbow method for determination of clusters. Figure S2: Euclidian distance plot. Heatmap showing Euclidean distances between samples clustered using complete linkage. Factors used for Cluster Analysis are visualized as column annotations. Table S1: Patient Characteristics. Numbers are presented as n (%) or median [IQR]. “Frail” is defined as Clinical Frailty Scale 5–9. A p-value of < 0.05 was considered significant. ICU Intensive Care Unit, IQR Interquartile Range, APACHE II Acute Physiology and Chronic Health Evaluation Score, SOFA Sepsis-related Organ Failure Assessment Score, MTB Mobility-Transfer-Barthel. Table S2: Post-hoc Analyses of patient characteristics in the four clusters. Numbers are presented as n (%) or median [IQR]. “Frail” is defined as Clinical Frailty Scale 5–9. A p-value of < 0.05 was considered significant. APACHE Acute Physiology and Chronic Health Evaluation Score, SOFA Sepsis-related Organ Failure Assessment Score, MTB Mobility-Transfer-Barthel. Table S3: Post-hoc Analyses of mobilization characteristics in the four clusters. Early mobilization is defined as mobilization within 72h of ICU admission. A p-value of < 0.05 was considered significant. Numbers are presented as n (%) or median [IQR]. IQR Interquartile Range, SOMS Surgical Intensive Care Unit Optimal Mobilization Score. Table S4: Stepwise Regression Models. “Frailty” is defined as Clinical Frailty Scale 5–9. A p-value of < 0.05 was considered significant. Early mobilization is defined as mobilization within 72h of ICU admission. OR Odds Ratio, CI Confidence interval, ICU Intensive Care Unit, IQR Interquartile Range, APACHE II Acute Physiology and Chronic Health Evaluation Score, SOFA Sepsisrelated Organ Failure Assessment Score, SOMS Surgical Intensive Care Unit Optimal Mobilization Score. Table S5: Logistic regression models of survivors of hospital stay. Early mobilization is defined as mobilization within 72h of ICU admission. A p-value of < 0.05 was considered significant. OR Odds Ratio, CI Confidence interval, SOMS Surgical Intensive Care Unit Optimal Mobilization Score. a Model was corrected for postoperative care, frailty, department. b Model was corrected for Sepsis-related Organ Failure Assessment Score, body mass index (categories), postoperative, frailty, other admission reasons, admission, and non-traumatic brain injury. c Model was corrected for department and Glasgow Coma Scale. d Model was corrected for APACHE II, department, admission, Mobility-Transfer-Barthel Score at hospital admission and age (categories). Table S6: Sensitivity Analysis with the ICU Mobility Scale. Early mobilization is defined as mobilization within 72h of ICU admission. A p-value of < 0.05 was considered significant. OR Odds Ratio, CI Confidence interval. IQR Interquartile Range, IMS ICU Mobility Scale. Table S7: Secondary Endpoints. Secondary endpoints in dependence of the four clusters. Here, the results of the primary analysis as well as the post-hoc analyses are listed. Numbers are presented as n (%) or median [IQR]. A p-value of < 0.05 was considered significant. IQR Interquartile Range, ICU Intensive Care Unit.
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 | 0,002 | 0,037 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,823 | 0,114 |
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 ».