You searched for:"Inês Aguiar-Ricardo"
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Author’s Response
Reply to: Predictors of coronary artery disease in cardiac arrest survivors: coronary angiography for everyone? A single-center retrospective analysis
- Joana Rigueira
, - Inês Aguiar-Ricardo ,
- Pedro Carrilho-Ferreira ,
- Miguel Nobre Menezes ,
- Sara Pereira , [ … ],
- Fausto J. Pinto
Abstract
Author’s ResponseReply to: Predictors of coronary artery disease in cardiac arrest survivors: coronary angiography for everyone? A single-center retrospective analysis
Rev Bras Ter Intensiva. 2022;34(2):305-307
DOI 10.5935/0103-507X.20220031-en
- Joana Rigueira ,
- Inês Aguiar-Ricardo ,
- Pedro Carrilho-Ferreira ,
- Miguel Nobre Menezes ,
- Sara Pereira ,
- Pedro S. Morais,
- Pedro Canas da Silva,
- Fausto J. Pinto
Views0TO THE EDITOR We thank doctors Barriuso, Irigaray, Rivera and Fernández-Rodríguez for their interest in our paper entitled “Predictors of coronary artery disease in cardiac arrest survivors: coronary angiography for everyone? A single-center retrospective analysis”, which aimed to identify predictors of coronary artery disease in survivors of cardiac arrest (CA), to define the best timing […]See moreViews0
Abstract
Author’s ResponseReply to: Predictors of coronary artery disease in cardiac arrest survivors: coronary angiography for everyone? A single-center retrospective analysis
Rev Bras Ter Intensiva. 2022;34(2):305-307
DOI 10.5935/0103-507X.20220031-en
- Joana Rigueira ,
- Inês Aguiar-Ricardo ,
- Pedro Carrilho-Ferreira ,
- Miguel Nobre Menezes ,
- Sara Pereira ,
- Pedro S. Morais,
- Pedro Canas da Silva,
- Fausto J. Pinto
Views0TO THE EDITOR We thank doctors Barriuso, Irigaray, Rivera and Fernández-Rodríguez for their interest in our paper entitled “Predictors of coronary artery disease in cardiac arrest survivors: coronary angiography for everyone? A single-center retrospective analysis”, which aimed to identify predictors of coronary artery disease in survivors of cardiac arrest (CA), to define the best timing […]See more - Joana Rigueira
-
Original Article
Predictors of coronary artery disease in cardiac arrest survivors: coronary angiography for everyone? A single-center retrospective analysis
- Joana Rigueira ,
- Inês Aguiar-Ricardo,
- Pedro Carrilho-Ferreira,
- Miguel Nobre Menezes,
- Sara Pereira, [ … ],
- Fausto J. Pinto
Abstract
Original ArticlePredictors of coronary artery disease in cardiac arrest survivors: coronary angiography for everyone? A single-center retrospective analysis
Rev Bras Ter Intensiva. 2021;33(2):251-260
DOI 10.5935/0103-507X.20210032
- Joana Rigueira ,
- Inês Aguiar-Ricardo,
- Pedro Carrilho-Ferreira,
- Miguel Nobre Menezes,
- Sara Pereira,
- Pedro S. Morais,
- Pedro Canas da Silva,
- Fausto J. Pinto
Views0ABSTRACT
Objective:
To identify predictors of coronary artery disease in survivors of cardiac arrest, to define the best timing for coronary angiography and to establish the relationship between coronary artery disease and mortality.
Methods:
This was a single-center retrospective study including consecutive patients who underwent coronary angiography after cardiac arrest.
Results:
A total of 117 patients (63 ± 13 years, 77% men) were included. Most cardiac arrest incidents occurred with shockable rhythms (70.1%), and the median duration until the return of spontaneous circulation was 10 minutes. Significant coronary artery disease was found in 68.4% of patients, of whom 75% underwent percutaneous coronary intervention. ST-segment elevation (OR 6.5, 95%CI 2.2 – 19.6; p = 0.001), the presence of wall motion abnormalities (OR 22.0, 95%CI 5.7 – 84.6; p < 0.001), an left ventricular ejection fraction ≤ 40% (OR 6.2, 95%CI 1.8 - 21.8; p = 0.005) and elevated high sensitivity troponin T (OR 3.04, 95%CI 1.3 - 6.9; p = 0.008) were predictors of coronary artery disease; the latter had poor accuracy (area under the curve 0.64; p = 0.004), with an optimal cutoff of 170ng/L. Only ST-segment elevation and the presence of wall motion abnormalities were independent predictors of coronary artery disease. The duration of cardiac arrest (OR 1.015, 95%CI 1.0 - 1.05; p = 0.048) was an independent predictor of death, and shockable rhythm (OR 0.4, 95%CI 0.4 - 0.9; p = 0.031) was an independent predictor of survival. The presence of coronary artery disease and the performance of percutaneous coronary intervention had no impact on survival; it was not possible to establish the best cutoff for coronary angiography timing.
Conclusion:
In patients with cardiac arrest, ST-segment elevation, wall motion abnormalities, left ventricular dysfunction and elevated high sensitivity troponin T were predictive of coronary artery disease. Neither coronary artery disease nor percutaneous coronary intervention significantly impacted survival.
Keywords:Cardiac ArrestCoronary angiographyCoronary artery diseasepercutaneous coronary interventionSurvivalSee moreViews0Abstract
Original ArticlePredictors of coronary artery disease in cardiac arrest survivors: coronary angiography for everyone? A single-center retrospective analysis
Rev Bras Ter Intensiva. 2021;33(2):251-260
DOI 10.5935/0103-507X.20210032
- Joana Rigueira ,
- Inês Aguiar-Ricardo,
- Pedro Carrilho-Ferreira,
- Miguel Nobre Menezes,
- Sara Pereira,
- Pedro S. Morais,
- Pedro Canas da Silva,
- Fausto J. Pinto
Views0ABSTRACT
Objective:
To identify predictors of coronary artery disease in survivors of cardiac arrest, to define the best timing for coronary angiography and to establish the relationship between coronary artery disease and mortality.
Methods:
This was a single-center retrospective study including consecutive patients who underwent coronary angiography after cardiac arrest.
Results:
A total of 117 patients (63 ± 13 years, 77% men) were included. Most cardiac arrest incidents occurred with shockable rhythms (70.1%), and the median duration until the return of spontaneous circulation was 10 minutes. Significant coronary artery disease was found in 68.4% of patients, of whom 75% underwent percutaneous coronary intervention. ST-segment elevation (OR 6.5, 95%CI 2.2 – 19.6; p = 0.001), the presence of wall motion abnormalities (OR 22.0, 95%CI 5.7 – 84.6; p < 0.001), an left ventricular ejection fraction ≤ 40% (OR 6.2, 95%CI 1.8 - 21.8; p = 0.005) and elevated high sensitivity troponin T (OR 3.04, 95%CI 1.3 - 6.9; p = 0.008) were predictors of coronary artery disease; the latter had poor accuracy (area under the curve 0.64; p = 0.004), with an optimal cutoff of 170ng/L. Only ST-segment elevation and the presence of wall motion abnormalities were independent predictors of coronary artery disease. The duration of cardiac arrest (OR 1.015, 95%CI 1.0 - 1.05; p = 0.048) was an independent predictor of death, and shockable rhythm (OR 0.4, 95%CI 0.4 - 0.9; p = 0.031) was an independent predictor of survival. The presence of coronary artery disease and the performance of percutaneous coronary intervention had no impact on survival; it was not possible to establish the best cutoff for coronary angiography timing.
Conclusion:
In patients with cardiac arrest, ST-segment elevation, wall motion abnormalities, left ventricular dysfunction and elevated high sensitivity troponin T were predictive of coronary artery disease. Neither coronary artery disease nor percutaneous coronary intervention significantly impacted survival.
Keywords:Cardiac ArrestCoronary angiographyCoronary artery diseasepercutaneous coronary interventionSurvivalSee more - Joana Rigueira
-
Original Article
Hidden hospital mortality in patients with sepsis discharged from the intensive care unit
Rev Bras Ter Intensiva. 2019;31(2):122-128
Abstract
Original ArticleHidden hospital mortality in patients with sepsis discharged from the intensive care unit
Rev Bras Ter Intensiva. 2019;31(2):122-128
DOI 10.5935/0103-507X.20190037
Views1See moreABSTRACT
Objective:
To evaluate the impact of the presence of sepsis on in-hospital mortality after intensive care unit discharge.
Methods:
Retrospective, observational, single-center study. All consecutive patients discharged alive from the intensive care unit of Hospital Vila Franca de Xira (Portugal) from January 1 to December 31, 2015 (N = 473) were included and followed until death or hospital discharge. In-hospital mortality after intensive care unit discharge was calculated for septic and non-septic patients.
Results:
A total of 61 patients (12.9%) died in the hospital after being discharged alive from the intensive care unit. This rate was higher among the patients with sepsis on admission, 21.4%, whereas the in-hospital, post-intensive care unit mortality rate for the remaining patients was nearly half that, 9.3% (p < 0.001). Other patient characteristics associated with mortality were advanced age (p = 0.02), male sex (p < 0.001), lower body mass index (p = 0.02), end-stage renal disease (p = 0.04) and high Simplified Acute Physiology Score II (SAPS II) at intensive care unit admission (p < 0.001), the presence of shock (p < 0.001) and medical admission (p < 0.001). We developed a logistic regression model and identified the independent predictors of in-hospital mortality after intensive care unit discharge.
Conclusion:
Admission to the intensive care unit with a sepsis diagnosis is associated with an increased risk of dying in the hospital, not only in the intensive care unit but also after resolution of the acute process and discharge from the intensive care unit.
Views1Abstract
Original ArticleHidden hospital mortality in patients with sepsis discharged from the intensive care unit
Rev Bras Ter Intensiva. 2019;31(2):122-128
DOI 10.5935/0103-507X.20190037
Views1See moreABSTRACT
Objective:
To evaluate the impact of the presence of sepsis on in-hospital mortality after intensive care unit discharge.
Methods:
Retrospective, observational, single-center study. All consecutive patients discharged alive from the intensive care unit of Hospital Vila Franca de Xira (Portugal) from January 1 to December 31, 2015 (N = 473) were included and followed until death or hospital discharge. In-hospital mortality after intensive care unit discharge was calculated for septic and non-septic patients.
Results:
A total of 61 patients (12.9%) died in the hospital after being discharged alive from the intensive care unit. This rate was higher among the patients with sepsis on admission, 21.4%, whereas the in-hospital, post-intensive care unit mortality rate for the remaining patients was nearly half that, 9.3% (p < 0.001). Other patient characteristics associated with mortality were advanced age (p = 0.02), male sex (p < 0.001), lower body mass index (p = 0.02), end-stage renal disease (p = 0.04) and high Simplified Acute Physiology Score II (SAPS II) at intensive care unit admission (p < 0.001), the presence of shock (p < 0.001) and medical admission (p < 0.001). We developed a logistic regression model and identified the independent predictors of in-hospital mortality after intensive care unit discharge.
Conclusion:
Admission to the intensive care unit with a sepsis diagnosis is associated with an increased risk of dying in the hospital, not only in the intensive care unit but also after resolution of the acute process and discharge from the intensive care unit.
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Case reports Child Coronavirus infections COVID-19 Critical care Critical illness Extracorporeal membrane oxygenation Infant, newborn Intensive care Intensive care units Intensive care units, pediatric mechanical ventilation Mortality Physical therapy modalities Prognosis Respiration, artificial Respiratory insufficiency risk factors SARS-CoV-2 Sepsis