The Influence of the Charlson Comorbidity Index on Procedural Characteristics, VARC-2 Endpoints and 30-Day Mortality Among Patients Who Undergo Transcatheter Aortic Valve Implantation
Notice bibliographique
Résumé
Background Aortic stenosis (AS) is a common valvular abnormality and transcatheter aortic valve implantation (TAVI) is being increasingly used to treat patients considered too high risk for conventional surgery. We aimed to assess the prevalence of comorbid conditions in patients undergoing TAVI using the Charlson Comorbidity Index (CCI) and to assess their impact on clinical and procedural outcomes. Methods We analysed 158 patients who underwent a TAVI at our institution between June 2009 and September 2015 to define their co-morbid burden as measured with CCI, and study its impact on procedural characteristics and mortality at 30 days. Results One hundred fifty-eight (158) patients with a mean age of 82 ± 8 years and a mean CCI score of 2.67 underwent a TAVI. Only 12/158 patients had a CCI of 0. The commonest cardiovascular comorbidities were previous myocardial infarction (24%), congestive heart failure (15%) and diabetes mellitus (23%) whilst the commonest non-cardiovascular comorbidities were renal disease (46%) and chronic obstructive pulmonary disease (COPD) (29%). After multivariable adjustment, CCI was not independently associated with adverse clinical outcomes. The addition of CCI to scoring systems such as Logistic EuroScore (LES) and Society of Thoracic Surgeons (STS) risk models improved the area under the curve from 0.75 (95%CI: 0.44–1.00) and 0.83 (95%CI: 0.64–1.00) to 0.78 (95%CI: 0.53–1.00) and 0.89 (95%CI: 0.78–1.00) respectively. Conclusions The burden of comorbid conditions in patients undergoing TAVI is significant. The CCI score was not independently associated with a higher risk of death but can be useful in addition to LES and STS risk models in informing decision making on the selection of patients for TAVI. Aortic stenosis (AS) is a common valvular abnormality and transcatheter aortic valve implantation (TAVI) is being increasingly used to treat patients considered too high risk for conventional surgery. We aimed to assess the prevalence of comorbid conditions in patients undergoing TAVI using the Charlson Comorbidity Index (CCI) and to assess their impact on clinical and procedural outcomes. We analysed 158 patients who underwent a TAVI at our institution between June 2009 and September 2015 to define their co-morbid burden as measured with CCI, and study its impact on procedural characteristics and mortality at 30 days. One hundred fifty-eight (158) patients with a mean age of 82 ± 8 years and a mean CCI score of 2.67 underwent a TAVI. Only 12/158 patients had a CCI of 0. The commonest cardiovascular comorbidities were previous myocardial infarction (24%), congestive heart failure (15%) and diabetes mellitus (23%) whilst the commonest non-cardiovascular comorbidities were renal disease (46%) and chronic obstructive pulmonary disease (COPD) (29%). After multivariable adjustment, CCI was not independently associated with adverse clinical outcomes. The addition of CCI to scoring systems such as Logistic EuroScore (LES) and Society of Thoracic Surgeons (STS) risk models improved the area under the curve from 0.75 (95%CI: 0.44–1.00) and 0.83 (95%CI: 0.64–1.00) to 0.78 (95%CI: 0.53–1.00) and 0.89 (95%CI: 0.78–1.00) respectively. The burden of comorbid conditions in patients undergoing TAVI is significant. The CCI score was not independently associated with a higher risk of death but can be useful in addition to LES and STS risk models in informing decision making on the selection of patients for TAVI.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 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) | 0,000 | 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 tête enseignante, 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 ».