scholarly journals Predictive value of the physiological deadspace/tidal volume ratio in the weaning process of mechanical ventilation in children

2012 ◽  
Author(s):  
Yvon Riou ◽  
Wissem Chaari ◽  
Stéphane Leteurtre ◽  
Francis Leclerc
Keyword(s):  
Mechanical Ventilation ◽  
Tidal Volume ◽  
Predictive Value ◽  
Volume Ratio

scholarly journals Management of Intraoperative Mechanical Ventilation to Prevent Postoperative Complications after General Anesthesia: A Narrative Review

2021 ◽  
Vol 10 (12) ◽  
pp. 2656
Author(s):  
Alberto Fogagnolo ◽  
Federica Montanaro ◽  
Lou’i Al-Husinat ◽  
Cecilia Turrini ◽  
Michela Rauseo ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Tidal Volume ◽  
Pulmonary Complications ◽  
Point Of View ◽  
Whole Body ◽  
Positive End Expiratory Pressure ◽  
Ventilation Strategies ◽  
Harmful Effects ◽  
Ventilation Induced Lung Injury ◽  
Different Levels

Mechanical ventilation (MV) is still necessary in many surgical procedures; nonetheless, intraoperative MV is not free from harmful effects. Protective ventilation strategies, which include the combination of low tidal volume and adequate positive end expiratory pressure (PEEP) levels, are usually adopted to minimize the ventilation-induced lung injury and to avoid post-operative pulmonary complications (PPCs). Even so, volutrauma and atelectrauma may co-exist at different levels of tidal volume and PEEP, and therefore, the physiological response to the MV settings should be monitored in each patient. A personalized perioperative approach is gaining relevance in the field of intraoperative MV; in particular, many efforts have been made to individualize PEEP, giving more emphasis on physiological and functional status to the whole body. In this review, we summarized the latest findings about the optimization of PEEP and intraoperative MV in different surgical settings. Starting from a physiological point of view, we described how to approach the individualized MV and monitor the effects of MV on lung function.

scholarly journals Neopterin predicts disease severity in hospitalized patients with COVID-19

2020 ◽  
Author(s):  
Rosa Bellmann-Weiler ◽  
Lukas Lanser ◽  
Francesco Burkert ◽  
Stefanie Seiwald ◽  
Gernot Fritsche ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Retrospective Analysis ◽  
Disease Severity ◽  
Predictive Value ◽  
Clinical Management ◽  
Inflammatory Markers ◽  
Predictive Marker ◽  
Hospitalized Patients ◽  
Icu Admission ◽  
Circulating Inflammatory Markers

Abstract This study evaluates the predictive value of circulating inflammatory markers, especially neopterin, in patients with COVID-19. Within this retrospective analysis of 115 hospitalized COVID-19 patients, elevated neopterin levels upon admission were significantly associated with disease severity, risk for ICU admission, need for mechanical ventilation and death. Therefore, neopterin is a reliable predictive marker in patients with COVID-19 and may help to improve the clinical management of patients.

scholarly journals Patient-Ventilator Synchrony and Tidal Volume Variability using NAVA and Pressure Support Mechanical Ventilation Modes

2011 ◽  
Vol 44 (1) ◽  
pp. 569-574
Author(s):  
Katherine T. Moorhead ◽  
Lise Piquilloud ◽  
Bernard Lambermont ◽  
Jean Roeseler ◽  
J. Geoffrey Chase ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Tidal Volume ◽  
Pressure Support ◽  
Ventilation Modes ◽  
Ventilator Synchrony

Predicting the risk of respiratory distress in newborns with congenital pulmonary malformations

2021 ◽  
pp. 2100949
Author(s):  
Christophe Delacourt ◽  
Nathalie Bertille ◽  
Laurent J. Salomon ◽  
Makan Rashenas ◽  
Alexandra Benachi ◽  
...  
Keyword(s):  
Respiratory Distress ◽  
Negative Predictive Value ◽  
Predictive Value ◽  
Volume Ratio ◽  
Predictive Ability ◽  
Population Based ◽  
Term Infants ◽  
Predictive Variable ◽  
Study Results ◽  
Roc Area

ObjectivesMost children with prenatally diagnosed congenital pulmonary malformations (CPM) are asymptomatic at birth. We aimed to develop a parsimonious prognostic model for predicting the risk of neonatal respiratory distress (NRD) in preterm and term infants with CPM, based on the prenatal attributes of the malformation.MethodsMALFPULM is a prospective population-based nationally representative cohort including 436 pregnant women. The main predictive variable was the CPM volume ratio (CVR) measured at diagnosis (CVR first) and the highest CVR measured (CVR max). Separate models were estimated for preterm and term infants and were validated by bootstrapping.ResultsIn total, 67 of the 383 neonates studied (17%) had NRD. For infants born at term (>37 weeks, N=351), the most parsimonious model included CVR max as the only predictive variable (ROC area: 0.70±0.04, negative predictive value: 0.91). The probability of NRD increased linearly with increasing CVR max and remained below 10% for CVR max<0.4. In preterm infants (N=32), both CVR max and gestational age were important predictors of the risk of NRD (ROC area: 0.85±0.07). Models based on CVR first had a similar predictive ability.ConclusionsPredictive models based exclusively on CVR measurements had a high negative predictive value in infants born at term. Our study results could contribute to the individualised general risk assessment to guide decisions about the need for newborns with prenatally diagnosed CPM to be delivered at specialised centers.

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