Phenotyping patient-reported health profiles in octogenarians with coronary artery disease – a latent profile analysis
Notice bibliographique
Résumé
Abstract Background Percutaneous coronary intervention (PCI) has demonstrated to be an effective treatment strategy also in octogenarian patients (≥80 years). However, limited studies describe patient-reported outcomes in older adults two months after the PCI procedure. Purpose To identify latent health profiles concerning fatigue, generic and disease-specific physical and mental health, anxiety and depression, insecurity, dependency and angina frequency. Further, to investigate if these profiles were associated with sex or cohabitation status. Method A prospective cohort multicenter study including 3417 patients was conducted. The following patient-reported outcome measures were used: Level of fatigue was assessed using de novo created questions. Generic physical and mental health was assessed using RAND-12. Anxiety and depression were assessed using the Hospital Anxiety and Depression Scale. Disease-specific physical and mental health status, insecurity and dependency were assessed with Myocardial Infarction Dimensional Assessment Scale, and disease-specific physical limitation, quality of life and angina frequency was assessed with Seattle Angina Questionnaire (SAQ-7). All scales were converted to a 0–100 scale (worst to best). Latent profile analysis was used for phenotyping health profiles and multinomial logistic regression analysis for investigating the association of sex and cohabitation status across health profiles. Result A total of 318 octogenarians were included. The mean age was 83.6 years, and 69% were males. Three health profiles differing in the level of fatigue, health status, insecurity and dependency and angina frequency were identified (Figure 1). Health profile 1 (26.1%) represents “Low-level of life satisfaction, high level of insecurity and dependency and monthly frequency of angina”. Health profile 2 (38.1%) represents “Medium-level of life satisfaction, medium-level of insecurity and dependency and monthly frequency of angina”. Health profile 3 (35.8%) represents “High-level of life satisfaction, low level of insecurity and dependency and angina free”. Importantly, female sex was strongly associated with being classified into Health profile 1 compared to Health profile 3 [OR 3.6, 95% CI 1.3–7.9]. Living alone however, did not predict a likelihood of being classified into any particular health profile. Conclusion We identified three unique health profiles of octogenarians with coronary artery disease. A quarter of the participants were classified into the “Low-level of life satisfaction” profile. In addition, female sex was strongly associated with being identified into the “Low-level of life satisfaction” profile. These result suggest a need for a more tailored and patient-centered aftercare in octogenarians undergoing PCI. Funding Acknowledgement Type of funding sources: Private company. Main funding source(s): MTG Holding AS
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 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| 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 ».