956: A MORTALITY PREDICTION MODEL FOR PEDIATRIC ACUTE RESPIRATORY DISTRESS SYNDROME

This study aims to investigate the association between oxygenation saturation index (OSI) and the outcome of acute respiratory distress syndrome (ARDS) patients, and assess the predictive performance of OSI for ARDS patients’ mortality. This study was conducted at one regional hospital with 66 adult intensive care unit (ICU) beds. All patients with ARDS were identified between November 1 2016 and May 31 2018, and their clinical information was retrospectively collected. The lowest PaO2/FiO2 ratio and SpO2/FiO2 ratio and highest mean airway pressure (MAP) were recorded on the first day of ARDS; and oxygen index (OI) and OSI were calculated as (FiO2 × MAP × 100)/PaO2, and (FiO2 × MAP × 100) /SpO2 accordingly. During the study period, a total of 101 patients with ARDS were enrolled, and their mean age was 69.2 years. The overall in-ICU and in-hospital mortality rate was 57.4% and 61.4%, respectively. The patients with in-ICU mortality had higher APACHE II score than the survivors (31.6 ± 9.8 vs. 23.0 ± 9.1, p < 0.001). In addition, mortalities had lower SpO2, and SpO2/FiO2 ratios than the survivors (both p < 0.05). In contrast, survivors had lower OI, and OSI than the mortalities (both p = 0.008). Both OSI (area under curve (AUC) = 0.656, p = 0.008) and OI (AUC = 0.654, p = 0.008) had good predictive performance of mortality among ARDS patients using receiver-operating characteristics (ROC) curves analysis. In addition, the AUC of SpO2/FiO2 (AUC = 0.616, p = 0.046) had better performance for mortality prediction than PaO2/FiO2 (AUC = 0.603, p = 0.08). The patients with OSI greater than 12 had a higher risk of mortality than OSI < 12 (adjusted OR, 5.22, 95% CI, 1.31–20.76, p = 0.019). In contrast, OI, PaO2/FiO2, and SpO2/FiO2 were not found to be significantly associated with increased mortality. OSI is significantly associated with the increased mortality of ARDS patients and can also be a good outcome predictor.

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Long noncoding plasmacytoma variant translocation 1 facilitates the surveillance of acute respiratory distress syndrome and mortality prediction in sepsis

Biomarkers in Medicine ◽

10.2217/bmm-2020-0506 ◽

2021 ◽

Vol 15 (6) ◽

pp. 401-412

Author(s):

Yijue Liu ◽

Huan Peng ◽

Feng Gui

Keyword(s):

Acute Respiratory Distress Syndrome ◽

Respiratory Distress Syndrome ◽

Respiratory Distress ◽

Disease Severity ◽

Noncoding Rna ◽

Distress Syndrome ◽

Mortality Prediction ◽

Prediction Of Mortality ◽

Failure Assessment ◽

Variant Translocation

Aim: We aimed to investigate the association of long noncoding RNA plasmacytoma variant translocation 1 (lncRNA PVT1) expression with acute respiratory distress syndrome (ARDS) risk and its prognostic value for 28-day mortality in sepsis patients. Materials & methods: LncRNA PVT1 expression from 109 sepsis patients and 100 health controls was detected. General sepsis severity was assessed using acute physiology and chronic health evaluation II score and sequential organ failure assessment score. Results: LncRNA PVT1 had an acceptable predictive value for higher ARDS risk, then was identified as an independent risk factor for sepsis ARDS; LncRNA PVT1 expression positively correlated with general disease severity in sepsis patients; LncRNA PVT1 was overexpressed in 28-day deaths compared with 28-day survivors in sepsis patients. Conclusion: LncRNA PVT1 may facilitate the surveillance of ARDS, general disease severity and the prediction of mortality in sepsis patients.

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Comparison of the Mortality Prediction of Different ICU Scoring Systems (APACHE II and III, SAPS II, and SOFA) in Acute Respiratory Distress Syndrome Patients

CHEST Journal ◽

10.1016/j.chest.2016.02.153 ◽

2016 ◽

Vol 149 (4) ◽

pp. A147 ◽

Cited By ~ 2

Author(s):

Abdelbaset Saleh ◽

Magda Ahmed ◽

Ahmed Abdel-lateif

Keyword(s):

Acute Respiratory Distress Syndrome ◽

Respiratory Distress Syndrome ◽

Respiratory Distress ◽

Distress Syndrome ◽

Scoring Systems ◽

Mortality Prediction ◽

Apache Ii ◽

Saps Ii

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A Prediction Model of Extubation Failure Risk in Preterm Infants

Frontiers in Pediatrics ◽

10.3389/fped.2021.693320 ◽

2021 ◽

Vol 9 ◽

Author(s):

Zimei Cheng ◽

Ziwei Dong ◽

Qian Zhao ◽

Jingling Zhang ◽

Su Han ◽

...

Keyword(s):

Acute Respiratory Distress Syndrome ◽

Respiratory Distress Syndrome ◽

Respiratory Distress ◽

Prediction Model ◽

Preterm Infants ◽

Gestational Age ◽

Distress Syndrome ◽

Extubation Failure ◽

Concordance Index ◽

Training Cohort

Objectives: This study aimed to identify variables and develop a prediction model that could estimate extubation failure (EF) in preterm infants.Study Design: We enrolled 128 neonates as a training cohort and 58 neonates as a validation cohort. They were born between 2015 and 2020, had a gestational age between 250/7 and 296/7 weeks, and had been treated with mechanical ventilation through endotracheal intubation (MVEI) because of acute respiratory distress syndrome. In the training cohort, we performed univariate logistic regression analysis along with stepwise discriminant analysis to identify EF predictors. A monogram based on five predictors was built. The concordance index and calibration plot were used to assess the efficiency of the nomogram in the training and validation cohorts.Results: The results of this study identified a 5-min Apgar score, early-onset sepsis, hemoglobin before extubation, pH before extubation, and caffeine administration as independent risk factors that could be combined for accurate prediction of EF. The EF nomogram was created using these five predictors. The area under the receiver operator characteristic curve was 0.824 (95% confidence interval 0.748–0.900). The concordance index in the training and validation cohorts was 0.824 and 0.797, respectively. The calibration plots showed high coherence between the predicted probability of EF and actual observation.Conclusions: This EF nomogram was a useful model for the precise prediction of EF risk in preterm infants who were between 250/7 and 296/7 weeks' gestational age and treated with MVEI because of acute respiratory distress syndrome.

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