Login
Search
Search
0 Dates
2024
2023
2022
2021
2020
2019
2018
0 Events
CPC 2018
CPC 2019
Curso de Atualização em Medicina Cardiovascular 2019
Reunião Anual Conjunta dos Grupos de Estudo de Cirurgia Cardíaca, Doenças Valvulares e Ecocardiografia da SPC
CPC 2020
CPC 2021
CPC 2022
CPC 2023
CPC 2024
0 Topics
A. Basics
B. Imaging
C. Arrhythmias and Device Therapy
D. Heart Failure
E. Coronary Artery Disease, Acute Coronary Syndromes, Acute Cardiac Care
F. Valvular, Myocardial, Pericardial, Pulmonary, Congenital Heart Disease
G. Aortic Disease, Peripheral Vascular Disease, Stroke
H. Interventional Cardiology and Cardiovascular Surgery
I. Hypertension
J. Preventive Cardiology
K. Cardiovascular Disease In Special Populations
L. Cardiovascular Pharmacology
M. Cardiovascular Nursing
N. E-Cardiology / Digital Health, Public Health, Health Economics, Research Methodology
O. Basic Science
P. Other
0 Themes
01. History of Cardiology
02. Clinical Skills
03. Imaging
04. Arrhythmias, General
05. Atrial Fibrillation
06. Supraventricular Tachycardia (non-AF)
07. Syncope and Bradycardia
08. Ventricular Arrhythmias and Sudden Cardiac Death (SCD)
09. Device Therapy
10. Chronic Heart Failure
11. Acute Heart Failure
12. Coronary Artery Disease (Chronic)
13. Acute Coronary Syndromes
14. Acute Cardiac Care
15. Valvular Heart Disease
16. Infective Endocarditis
17. Myocardial Disease
18. Pericardial Disease
19. Tumors of the Heart
20. Congenital Heart Disease and Pediatric Cardiology
21. Pulmonary Circulation, Pulmonary Embolism, Right Heart Failure
22. Aortic Disease
23. Peripheral Vascular and Cerebrovascular Disease
24. Stroke
25. Interventional Cardiology
26. Cardiovascular Surgery
27. Hypertension
28. Risk Factors and Prevention
29. Rehabilitation and Sports Cardiology
30. Cardiovascular Disease in Special Populations
31. Pharmacology and Pharmacotherapy
32. Cardiovascular Nursing
33. e-Cardiology / Digital Health
34. Public Health and Health Economics
35. Research Methodology
36. Basic Science
37. Miscellanea
0 Resources
Abstract
Slides
Vídeo
Report
CLEAR FILTERS
The role of the Charlson Comorbidity Index in predicting long-term survival after permanent pacemaker implantation – is old age all that matters?
Session:
Posters - C. Arrhythmias and Device Therapy
Speaker:
João Gameiro
Congress:
CPC 2021
Topic:
C. Arrhythmias and Device Therapy
Theme:
09. Device Therapy
Subtheme:
09.1 Antibradycardia Pacing
Session Type:
Posters
FP Number:
---
Authors:
João Gameiro; Simone Costa; Carolina Saleiro; Diana Campos; José Sousa; Ana Rita Gomes; Luís Puga; Eric Monteiro; Gonçalo Costa; Joana Silva; Lino Gonçalves
Abstract
<p><span style="font-size:16px"><span style="font-family:Arial,Helvetica,sans-serif"><strong>Background</strong></span></span></p> <p style="text-align:justify"><span style="font-size:14px"><span style="font-family:Arial,Helvetica,sans-serif">An augmented life expectancy and improved therapeutic options have increased the proportion of elderly patients (P) requiring pacemaker (PM) implantation, with >80% of implantations being performed in P aged > 64 years. Although older age is normally associated with longer length of hospital stay and long-term mortality, its predictive capacity is low. The Charlson Comorbidity Index (CCI) predicts mortality and is frequently used for risk stratification in clinical practice, adding age to multiple comorbidities. The prognostic value of the CCI in P submitted to<em><strong> </strong></em>permanent PM implantation is still scarcely known<span style="background-color:white"><span style="color:#70757a">.</span></span></span></span></p> <p style="text-align:justify"><span style="font-size:16px"><span style="font-family:Arial,Helvetica,sans-serif"><strong>Purpose</strong></span></span></p> <p style="text-align:justify"><span style="font-size:14px"><span style="font-family:Arial,Helvetica,sans-serif">The purpose of this study is to assess the prognostic value of the CCI in a cohort of P after permanent PM implantation.</span></span></p> <p style="text-align:justify"><span style="font-size:16px"><span style="font-family:Arial,Helvetica,sans-serif"><strong>Methods</strong></span></span></p> <p style="text-align:justify"><span style="font-size:14px"><span style="font-family:Arial,Helvetica,sans-serif">A retrospective cohort study from consecutive P submitted to a non-elective permanent PM implantation in our center, between January 2019 and December 2019. Baseline clinical data and in-hospital mortality were determined.</span></span></p> <p style="text-align:justify"><span style="font-size:14px"><span style="font-family:Arial,Helvetica,sans-serif">Receiver operating characteristic (ROC) curves and area under curve (AUC) were calculated. The cut-off value for the CCI was derived from the Youden index. Predictors of long-term mortality and time to the first event were analysed using logistic regression and survival analysis with multivariate Cox regression model.</span></span></p> <p style="text-align:justify"><span style="font-size:16px"><span style="font-family:Arial,Helvetica,sans-serif"><strong>Results</strong></span></span></p> <p style="text-align:justify"><span style="font-size:14px"><span style="font-family:Arial,Helvetica,sans-serif">A total of 279 P were included (59.3% male sex, mean age of 78.5 ± 11). In this cohort, the mean length of stay was 4.6 ± 6 days<span style="color:#5b9bd5">. </span>In 66.8% of P (n= 187) a dual-chamber PM was implanted. The CCI was calculated for every patient, with a mean value of 5.36 ± 2. In-hospital mortality was 0.4% in this cohort.</span></span></p> <p style="text-align:justify"><span style="font-size:14px"><span style="font-family:Arial,Helvetica,sans-serif">Long-term mortality in this cohort (with a mean follow-up of 16.8 months) was 12.5%, with 0.8% of P being admitted with an infected device. </span></span><span style="font-size:14px"><span style="font-family:Arial,Helvetica,sans-serif">The CCI yielded an acceptable prognostic performance in predicting a longer length of stay using ROC analysis (AUC: 0.572, 95% CI: 0.504-0.640, p = 0.04), performing better than age (AUC: 0.542, 95% CI: 0.474-0.611, p = 0.227). The CCI also yielded a higher prognostic performance in predicting long-term mortality (AUC: 0.672, 95% CI: 0.576 - 0.769, p = 0.001) when compared with age (AUC: 0.639, 95% CI: 0.544 - 0.734, p = 0.008). A CCI > 6 was suggested as a predictive cut-off for higher long-term mortality by the Youden index calculated with this analysis.</span></span></p> <p style="text-align:justify"><span style="font-size:14px"><span style="font-family:Arial,Helvetica,sans-serif">After dividing our cohort in two groups (CCI > 6 and CCI <span style="background-color:white">≤</span> 6), we used a multivariate Cox regression analysis adjusted to confounding factors (age, gender, pacemaker type and days of hospitalization) that demonstrated a significant statistical impact of a CCI > 6 on long-term mortality (HR adjusted: 2.439, 95% CI: 1.126 – 5.284.; p = 0.024).</span></span></p> <p style="text-align:justify"><span style="font-size:16px"><span style="font-family:Arial,Helvetica,sans-serif"><strong>Conclusion</strong></span></span></p> <p style="text-align:justify"><span style="font-size:14px"><span style="font-family:Arial,Helvetica,sans-serif">The CCI is an easy to calculate tool, with good capacity to predict longer length of stay and long-term mortality in a cohort of P submitted to<em><strong> </strong></em>permanent PM implantation. Older age does not necessary mean worst outcomes and should not be the main clinical concern in this P.</span></span></p>
Slides
Our mission: To reduce the burden of cardiovascular disease
Visit our site