Perioperative proADM-change is associated with the development of acute respiratory distress syndrome in critically ill cardiac surgery patients: a prospective cohort study

2019 ◽  
Vol 13 (13) ◽  
pp. 1081-1091
Author(s):  
Judith van Paassen ◽  
Jaap T van Dissel ◽  
Pieter S Hiemstra ◽  
Jaap Jan Zwaginga ◽  
Christa M Cobbaert ◽  
...  

Aim: Biomarkers of acute respiratory distress syndrome (ARDS) after cardiac-surgery may help risk-stratification and management. Preoperative single-value proADM increases predictive capacity of scoring-system EuroSCORE. To include the impact of surgery, we aim to assess the predictive value of the perioperative proADM-change on development of ARDS in 40 cardiac-surgery patients. Materials & methods: ProADM was measured in nine sequential blood samples. The Berlin definition of ARDS was used. For data-analyses, a multivariate model of EuroSCORE and perioperative proADM-change, linear mixed models and logistic regression were used. Results: Perioperative proADM-change was associated with ARDS after cardiac-surgery, and it was superior to EuroSCORE. A perioperative proADM-change >1.5 nmol/l could predict ARDS. Conclusion: Predicting post-surgery ARDS with perioperative proADM-change enables clinicians to intensify lung-protective interventions and individualized fluid therapy to minimize secondary injury.

2021 ◽  
pp. 088506662110190
Author(s):  
Saminder Singh Kalra ◽  
Johnny Jaber ◽  
Bashar N. Alzghoul ◽  
Ryan Hyde ◽  
Sarina Parikh ◽  
...  

Background: Patients with acute respiratory distress syndrome (ARDS) are highly susceptible to developing delirium for a multitude of reasons. Previous studies have linked pre-existing depression with an increased risk of postoperative delirium in patients undergoing cardiac and non-cardiac surgery. However, the evidence regarding the association between pre-existing psychiatric illnesses and delirium in ARDS patients is unknown. In this study, we aim to determine the relationship between pre-existing psychiatric illness and the risk of development of delirium amongst ARDS patients. Study Design and Methods: We performed a retrospective study of a mixed group of patients admitted to the intensive care unit (ICU) between January 2016 and December 2019 with a diagnosis of ARDS per the Berlin definition. The study group was divided into 2 cohorts: subjects with delirium and subjects without delirium. Comparison between the 2 groups was conducted to examine the impact of pre-existing psychiatric illnesses including major depressive disorder (MDD), generalized anxiety disorder (GAD), bipolar disorder, schizophrenia, or post-traumatic stress disorder. Multivariable logistic regression analysis was performed adjusting for benzodiazepine use, sedatives, analgesics, sequential organ failure assessment score, and corticosteroid use to determine the association between pre-existing psychiatric disorders and delirium. Results: 286 patients with ARDS were identified; 124 (43%) of whom were diagnosed with ICU delirium. In patients diagnosed with ICU delirium, 49.2% were found to have preexisting psychiatric illnesses, compared to 34.0% without any preexisting psychiatric illness (OR = 1.94, P = 0.01). In a subgroup analysis of individual psychiatric illnesses, GAD and MDD were associated with the development of delirium (OR = 1.88, P = 0.04 and OR = 1.76, P = 0.05 respectively). Interpretation: ARDS patients with preexisting psychiatric illnesses, particularly GAD and MDD are associated with an increased risk of developing ICU delirium. Clinicians should be aware of the effect of psychiatric co-morbidities on developing delirium in critically ill patients.


2019 ◽  
Vol 11 (S3) ◽  
pp. S390-S393
Author(s):  
Jeremy Bourenne ◽  
Julien Carvelli ◽  
Laurent Papazian

2020 ◽  
Author(s):  
Rongyuan Zhang ◽  
Xu Wang ◽  
Shoujun Li ◽  
Jun Yan

Abstract Background: To evaluate the effect of low-dose exogenous surfactant therapy on infants suffering acute respiratory distress syndrome (ARDS) after cardiac surgery. Methods: We conducted a retrospective case-control study of infants diagnosed with moderate-severe ARDS after cardiac surgery. A case was defined as a patient that received surfactant and standard therapy, while a control was defined as a patient that underwent standard therapy. The primary endpoint was the improvement in oxygenation index (OI) after 24-hour of surfactant treatment; and secondary endpoints were the ventilator time and PICU time. Results: 22 infants treated with surfactant were matched with 22 controls. Early low-dose (20mg/kg) surfactant treatment was associated with improved outcomes. After surfactant administration for 24-hour, the surfactant group was much better compared with the control group at the 24-hour in OI (difference in average change from baseline, -6.7 [95% CI, -9.3 to -4.1]) (P < 0.01) and VI (mean difference, -11.9 [95% CI, -18.1 to -5.7]) (P < 0.01). Ventilation time and PICU time were significantly shorter in the surfactant group compared with the control group (133.6h±27.2 vs 218.4h±28.7, P < 0.01 ; 10.7d±5.1 vs 17.5d±6.8, P < 0.01). Infants in the surfactant group under 3 months benefit more from OI and VI than the infants over 3 months in a preliminary exploratory analysis.Conclusions: In infants with moderate-severe ARDS after cardiac surgery, early low-dose exogenous surfactant treatment could prominently improve oxygenation and reduce mechanical ventilation time and PICU time. Infants younger than 3 months may get more benefit of oxygenation than the older ones.


2021 ◽  
Vol 30 (1) ◽  
pp. 64-71
Author(s):  
Lixue Huang ◽  
Man Song ◽  
Yan Liu ◽  
Wenmei Zhang ◽  
Zhenye Pei ◽  
...  

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.


2011 ◽  
Vol 39 (9) ◽  
pp. 2025-2030 ◽  
Author(s):  
Martin Britos ◽  
Elizabeth Smoot ◽  
Kathleen D. Liu ◽  
B. Taylor Thompson ◽  
William Checkley ◽  
...  

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