scholarly journals High risk of pulmonary embolism in acute respiratory distress syndrome related to COVID-19: an observational controlled-cohort study

2021 ◽  
Vol 9 (8) ◽  
pp. 630-630
Author(s):  
Victor de Roubin ◽  
Faustine Reynaud ◽  
Rémi Coudroy ◽  
Maeva Rodriguez ◽  
Grégoire Monseau ◽  
...  
Keyword(s):  
Pulmonary Embolism ◽  
Acute Respiratory Distress Syndrome ◽  
Cohort Study ◽  
High Risk ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Distress Syndrome

scholarly journals Key factors leading to fatal outcomes in COVID-19 patients with cardiac injury

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Yiyu He ◽  
Xiaoxin Zheng ◽  
Xiaoyan Li ◽  
Xuejun Jiang
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
High Risk ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Distress Syndrome ◽  
Troponin I ◽  
Cardiac Injury ◽  
Advanced Age ◽  
Hospital Death ◽  
Key Factors

AbstractCardiac injury among patients with COVID-19 has been reported and is associated with a high risk of mortality, but cardiac injury may not be the leading factor related to death. The factors related to poor prognosis among COVID-19 patients with myocardial injury are still unclear. This study aimed to explore the potential key factors leading to in-hospital death among COVID-19 patients with cardiac injury. This retrospective single-center study was conducted at Renmin Hospital of Wuhan University, from January 20, 2020 to April 10, 2020, in Wuhan, China. All inpatients with confirmed COVID-19 (≥ 18 years old) and cardiac injury who had died or were discharged by April 10, 2020 were included. Demographic data and clinical and laboratory findings were collected and compared between survivors and nonsurvivors. We used univariable and multivariable logistic regression methods to explore the risk factors associated with mortality in COVID-19 patients with cardiac injury. A total of 173 COVID-19 patients with cardiac injury were included in this study, 86 were discharged and 87 died in the hospital. Multivariable regression showed increased odds of in-hospital death were associated with advanced age (odds ratio 1.12, 95% CI 1.05–1.18, per year increase; p < 0.001), coagulopathy (2.54, 1.26–5.12; p = 0·009), acute respiratory distress syndrome (16.56, 6.66–41.2; p < 0.001), and elevated hypersensitive troponin I (4.54, 1.79–11.48; p = 0.001). A high risk of in-hospital death was observed among COVID-19 patients with cardiac injury in this study. The factors related to death include advanced age, coagulopathy, acute respiratory distress syndrome and elevated levels of hypersensitive troponin I.

Evaluation of a Ventilation Strategy to Prevent Barotrauma in Patients at High Risk for Acute Respiratory Distress Syndrome

1999 ◽  
Vol 43 (1) ◽  
pp. 8-9
Author(s):  
THOMAS E. STEWART ◽  
MAUREEN O. MEADE ◽  
DEBORAH J. COOK ◽  
JOHN T. GRANTON ◽  
RICHARD V. HODDER ◽  
...  
Keyword(s):  
Acute Respiratory Distress Syndrome ◽  
High Risk ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Distress Syndrome ◽  
Ventilation Strategy

Lung transplantation for acute respiratory distress syndrome – a retrospective European Cohort Study

2021 ◽  
pp. 2102078
Author(s):  
Jens Gottlieb ◽  
Philipp M. Lepper ◽  
Cristina Berastegui ◽  
Beatriz Montull ◽  
Alexandra Wald ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Acute Respiratory Distress Syndrome ◽  
Cohort Study ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Lung Transplantation ◽  
Distress Syndrome ◽  
Selection Process ◽  
Multivariable Analysis ◽  
Multicenter Cohort Study

BackgroundThe published experience of lung transplantation (LTX) in acute respiratory distress syndrome (ARDS) is limited. The aim of this study was to investigate the contemporary results of LTX attempts in ARDS in major European centers.MethodsWe conducted a retrospective multicenter cohort study of all patients listed for LTX between 2011 and 2019. We surveyed 68 centers in 22 European countries. All patients admitted to the waitlist for lung transplantation with a diagnosis of “ARDS//pneumonia” were included. Patients without extracorporeal membrane oxygenation (ECMO) or mechanical ventilation were excluded. Patients were followed until October 1st 2020 or death. Multivariable analysis for 1-year survival after listing and lung transplantation were performed.ResultsForty-eight centers (74%) with a total transplant activity of 12 438 lung transplants during the 9-year period gave feedback. Forty patients with a median age of 35 years were identified. Patients were listed for LTX in 18 different centers in 10 countries. Thirty-one-patients underwent LTX (0·25% of all indications) and 9 patients died on the waitlist. Ninety percent of transplanted patients were on ECMO in combination with mechanical ventilation before LTX. On multivariable analysis, transplantation during 2015 until 2019 was independently associated with better 1-year survival after LTX (odds ratio 10.493, 95% CI 1.977, 55.705, p=0.006). Sixteen survivors out of 23 patients with known status (70%) returned to work after LTX.ConclusionLTX in highly selected ARDS patients is feasible and outcome has improved in the modern era. The selection process remains ethically and technically challenging.

Acute Respiratory Distress Syndrome Prediction Score: Derivation and Validation

2021 ◽  
Vol 30 (1) ◽  
pp. 64-71
Author(s):  
Lixue Huang ◽  
Man Song ◽  
Yan Liu ◽  
Wenmei Zhang ◽  
Zhenye Pei ◽  
...  
Keyword(s):  
Cardiac Surgery ◽  
Acute Respiratory Distress Syndrome ◽  
High Risk ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Distress Syndrome ◽  
Aortic Surgery ◽  
Area Under The Curve ◽  
Prediction Score ◽  
Derivation Cohort

Background Despite advances in treatment strategies, acute respiratory distress syndrome (ARDS) after cardiac surgery remains associated with high morbidity and mortality. A method of screening patients for risk of ARDS after cardiac surgery is needed. Objectives To develop and validate an ARDS prediction score designed to identify patients at high risk of ARDS after cardiac or aortic surgery. Methods An ARDS prediction score was derived from a retrospective derivation cohort and validated in a prospective cohort. Discrimination and calibration of the score were assessed with area under the receiver operating characteristic curve and the Hosmer-Lemeshow goodness-of-fit test, respectively. A sensitivity analysis was conducted to assess model performance at different cutoff points. Results The retrospective derivation cohort consisted of 201 patients with and 602 patients without ARDS who had undergone cardiac or aortic surgery. Nine routinely available clinical variables were included in the ARDS prediction score. In the derivation cohort, the score distinguished patients with versus without ARDS with area under the curve of 0.84 (95% CI, 0.81-0.88; Hosmer-Lemeshow P = .55). In the validation cohort, 46 of 1834 patients (2.5%) had ARDS develop within 7 days after cardiac or aortic surgery. Area under the curve was 0.78 (95% CI, 0.71-0.85), and the score was well calibrated (Hosmer-Lemeshow P = .53). Conclusions The ARDS prediction score can be used to identify high-risk patients from the first day after cardiac or aortic surgery. Patients with a score of 3 or greater should be closely monitored. The score requires external validation before clinical use.

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