Login
Search
Search
0 Dates
2026
2025
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
CPC 2025
CPC 2026
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
Predicting Postoperative Vasoactive–Inotropic Support Using a Quantile Regression Model
Session:
Sessão de Posters 38 - Encerramento estrutural e desfechos cirúrgicos: do PFO ao bloco operatório
Speaker:
Tiago R. Velho
Congress:
CPC 2026
Topic:
H. Interventional Cardiology and Cardiovascular Surgery
Theme:
26. Cardiovascular Surgery
Subtheme:
26.11 Cardiovascular Surgery - Other
Session Type:
Posters Eletrónicos
FP Number:
---
Authors:
Tiago Velho; Rafael M. Pereira; Francisco Luís; Manuel Abecasis; Nuno Carvalho Guerra; Ricardo Ferreira; Luís Ferreira Moita; Ângelo Nobre
Abstract
<p><span style="font-size:12pt"><u><strong>Background</strong></u><br /> Patients submitted to cardiac surgery frequently require postoperative vasopressor or inotropic support. High doses of these agents are associated with increased postoperative complications. Few studies have examined preoperative clinical or laboratory predictors of postoperative Vasoactive–Inotropic Score (VIS). Identifying patients at risk of requiring high vasoactive support may improve peri-operative risk stratification and optimization. This study aimed to identify preoperative factors associated with elevated postoperative VIS.</span></p> <p><span style="font-size:12pt"><u><strong>Methods</strong></u><br /> We performed an observational, retrospective study including consecutive patients submitte to major cardiac surgery. The primary endpoint was to identify preoperative clinical and laboratory predictors of the highest postoperative VIS in the first 24 hours (VISmax24h). Clinical variables were collected from medical records. VISmax24h was calculated for each patient. Continuous variables are presented as median (IQR) and analysed with Mann–Whitney or Kruskal–Wallis tests; associations were assessed using Spearman correlation. A Quantile Regression model was used to examine predictors across the VISmax24h distribution. Analyses were performed using R.</span></p> <p><span style="font-size:12pt"><u><strong>Results</strong></u><br /> A total of 1,429 patients were included. Median VISmax24h was 5 (IQR 0–16), and 35% had a VIS of 0. Higher VISmax24h values were observed in females (P=0.011), patients with respiratory disease (P=0.01), chronic kidney disease (P=0.001), cerebrovascular disease (P=0.02), depressed left ventricular function (P<0.001), urgent/emergent surgery (P<0.001) and ≥3 procedures (P<0.001). VISmax24h was significantly lower in patients with dyslipidaemia (P=0.001). VISmax24h showed a strong positive correlation with SOFA score at 24h and a moderate positive correlation with preoperative NT-proBNP. In Quantile Regression, predictors of higher postoperative VISmax24h across multiple quantiles included preoperative NT-proBNP, female sex, cerebrovascular disease, urgency of surgery, procedure type and number of procedures. Dyslipidaemia remained associated with lower VISmax24h.</span></p> <p><span style="font-size:12pt"><u><strong>Conclusion</strong></u><br /> Most patients require some degree of vasoactive support after cardiac surgery, though with considerable variability. Preoperative NT-proBNP, female sex, cerebrovascular disease, urgency of surgery and surgical complexity were associated with higher postoperative VISmax24h, while dyslipidaemia was associated with lower values. Quantile Regression offers a refined approach to identifying patients with increased postoperative vasoactive needs and may support improved peri-operative stratification and resource planning.</span></p> <p> </p> <p> </p>
Slides
Our mission: To reduce the burden of cardiovascular disease
Visit our site