scholarly journals The Association Between Ventilatory Ratio and Mortality of Adult Patients with ARDS: Systematic Review and Meta-Analysis

Author(s):  
Lianlian Jiang ◽  
Wei Chang ◽  
Xueyan Yuan ◽  
Qin Sun ◽  
Zihan Hu ◽  
...  

Abstract Background: Ventilatory ratio is a simple bedside index of impaired efficiency of ventilation and correlates well with physiological dead space fraction in patients with ARDS. So it was regarded as a dead-space marker associated with mortality in mechanically ventilated adults with ARDS. However, the association between VR and outcome of patients with ARDS remains largely unknown. Methods: We searched articles in three electronic databases including PubMed, EMBASE and Web of Science. All the English publications up to 1 st Oct. 2021 will be searched without any restriction of countries. All the observational study that investigated the association between ventilatory ratio and the mortality of ARDS patients were identified in this meta-analysis. The main outcome was mortality. Summary estimates of effect using odds ratio (OR) for dichotomous outcomes with accompanying 95% confidence interval (CI) were expressed. Results: A total of 9 trials enrolling 5638 patients were finally included in this meta-analysis. The results revealed that the use of ventilatory ratio could be significantly related to the mortality in adult ARDS (OR=1.27; 95% CI 1.10 to 1.47; P=0.001). Ventilatory ratio may have the capability of predicting the mortality of NON- COVID-related patients (OR 1.39, 95% CI 1.12 to 1.73 P = 0.003) while it has no predictable significance in patients with COVID (OR 1.18, 95% CI 0.94 to 1.48 P = 0.16). Importantly, the dynamic changes of VR adds more predictable value (OR 1.21 vs 1.19). Conclusion: Our study suggests that ventilatory ratio can be regarded as a valuable marker to predict the mortality of adult patients with ARDS. Compared to patients with COVID, ventilatory ratio is more predictable in patients with NON-COVID. What’s more, the dynamic changes of VR may have the potential to improve the prognostic value.

2018 ◽  
Vol 2 (6) ◽  
Author(s):  
Leonardo R ◽  
Elmiro SR ◽  
Angelica LDD ◽  
Nilson PS ◽  
João Lucas OC ◽  
...  

2017 ◽  
Vol 1 (1) ◽  
pp. 21-29
Author(s):  
Matthew Protas ◽  
Henry Wingfield ◽  
Basem Ishak ◽  
Rong Li ◽  
Rod J. Oskouian ◽  
...  

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