Abstract:SIGLAS ABREVIATURAS C. vital Capacidad vital C.S. respiratorio Compliance del sistema respiratorio CaO2 Concentración arterial de oxígeno CcO2 Contenido capilar de oxígeno CO2 Dióxido de carbono COVID-19 Enfermedad causada por el coronavirus 2019 (por sus siglas en inglés) Cpulmón "Compliance" o distensibilidad del pulmón CRF Capacidad residual funcional CvO2 Contenido venoso de oxígeno Cw Caja torácica por sus silgas en inglés
“…The present study revealed median Crs values below the those reported as normal in other studies 2,4 and established a correlation with variables such as height and age, along with sex, to construct a predictive equation for Crs. However, the model exhibited a low R 2 value.…”
Section: Discussionsupporting
confidence: 69%
“…In this context, the prediction of lung mechanics is crucial for its rst estimation or during daily measurements. This value can aid in assessing the impact of diagnoses of acute conditions (atelectasis, Acute Respiratory Distress Syndrome [ARDS], Acute Obstructive Abdomen, pneumonia and pulmonary congestion) or chronic conditions (Chronic Obstructive Pulmonary Disease [COPD], pulmonary brosis, obesity and sequelae of major infections) 2,4,13 . Additionally, it can help in determining better PEEP levels to relationship between elastic pressure and lung expansibility (using decremental PEEP maneuver 14 ), thereby guiding the safe selection of ventilation parameters.…”
Section: Discussionmentioning
confidence: 99%
“…The evaluation of quasi-static respiratory mechanics has evolved signi cantly since the rst experiments by Von Neergaard and Wirtz in 1927 1 , followed by evaluations with pneumotachographs and direct assessment puncture of pleural pressure, sensitive and advanced software that calculates variations in pressures, volumes and ows at the bedside during the use of mechanical ventilation (MV) 2 . Currently, for easier implementation, respiratory mechanics evaluation calculations estimate the principle of onecompartment lung model, assuming that all aspects of the evaluated parenchyma follow something close to homogeneity.…”
Section: Introductionmentioning
confidence: 99%
“…In effort to personalize these values in initial patient assessments, a reference range for normal Crs was previously suggested to be between 50 and 70 ml/cmH 2 O. However, these values were not derived from descriptive population studies and may have overlooked signi cant variables such as Predicted Body Weight (PBW), which is calculated based on the patient's height and sex 2,4 . Thus, due to the absence of studies addressing the individuality of Crs through suitable reference values for height and/or PBW, the present study aimed to pragmatically describe Crs measurements in patients admitted to ICUs, determine the relationship between Crs/PBW, and propose a mathematical equation model to predict these values.…”
Standard Crs reference values (50–70 ml/cmH2O) lack population-specific data and might be influenced by anthropometry. This study aimed to establish practical Crs values, explore the Crs/Predicted Body Weight (PBW) relationship, and develop a predictive model for Crs. A multicenter, cross-sectional study involving mechanically ventilated patients was conducted across Brazil. Patients with hemodynamic instability, chest wall deformities, or intrathoracic limitations were excluded. Data collected included PBW, plateau pressure, Crs, and Driving Pressure (DP). Patients were categorized into three PBW groups (G1 < 59kg, G2 59-68kg, G3 > 68kg) and further stratified by the presence/absence of pulmonary disease. The study included 159 patients with median values of Crs (38.0 ml/cmH2O), DP (9.0 cmH2O), and Crs/PBW (0.65 ml/cmH2O/kg). Statistically significant differences in Crs were observed between G1 vs. G2 (p = 0.03) and G1 vs. G3 (p < 0.01). However, the presence/absence of pulmonary disease did not significantly affect Crs (p = 0.59). The formulated predictive model for Crs yielded an R² of 0.157. Our study indicated that Crs in mechanically ventilated patients with near-normal elastance appears influenced by anthropometric data, particularly height and sex. A Crs/PBW cutoff of 0.6 ml/cmH2O/kg was established. The study also presents a preliminary model for Crs prediction.
“…The present study revealed median Crs values below the those reported as normal in other studies 2,4 and established a correlation with variables such as height and age, along with sex, to construct a predictive equation for Crs. However, the model exhibited a low R 2 value.…”
Section: Discussionsupporting
confidence: 69%
“…In this context, the prediction of lung mechanics is crucial for its rst estimation or during daily measurements. This value can aid in assessing the impact of diagnoses of acute conditions (atelectasis, Acute Respiratory Distress Syndrome [ARDS], Acute Obstructive Abdomen, pneumonia and pulmonary congestion) or chronic conditions (Chronic Obstructive Pulmonary Disease [COPD], pulmonary brosis, obesity and sequelae of major infections) 2,4,13 . Additionally, it can help in determining better PEEP levels to relationship between elastic pressure and lung expansibility (using decremental PEEP maneuver 14 ), thereby guiding the safe selection of ventilation parameters.…”
Section: Discussionmentioning
confidence: 99%
“…The evaluation of quasi-static respiratory mechanics has evolved signi cantly since the rst experiments by Von Neergaard and Wirtz in 1927 1 , followed by evaluations with pneumotachographs and direct assessment puncture of pleural pressure, sensitive and advanced software that calculates variations in pressures, volumes and ows at the bedside during the use of mechanical ventilation (MV) 2 . Currently, for easier implementation, respiratory mechanics evaluation calculations estimate the principle of onecompartment lung model, assuming that all aspects of the evaluated parenchyma follow something close to homogeneity.…”
Section: Introductionmentioning
confidence: 99%
“…In effort to personalize these values in initial patient assessments, a reference range for normal Crs was previously suggested to be between 50 and 70 ml/cmH 2 O. However, these values were not derived from descriptive population studies and may have overlooked signi cant variables such as Predicted Body Weight (PBW), which is calculated based on the patient's height and sex 2,4 . Thus, due to the absence of studies addressing the individuality of Crs through suitable reference values for height and/or PBW, the present study aimed to pragmatically describe Crs measurements in patients admitted to ICUs, determine the relationship between Crs/PBW, and propose a mathematical equation model to predict these values.…”
Standard Crs reference values (50–70 ml/cmH2O) lack population-specific data and might be influenced by anthropometry. This study aimed to establish practical Crs values, explore the Crs/Predicted Body Weight (PBW) relationship, and develop a predictive model for Crs. A multicenter, cross-sectional study involving mechanically ventilated patients was conducted across Brazil. Patients with hemodynamic instability, chest wall deformities, or intrathoracic limitations were excluded. Data collected included PBW, plateau pressure, Crs, and Driving Pressure (DP). Patients were categorized into three PBW groups (G1 < 59kg, G2 59-68kg, G3 > 68kg) and further stratified by the presence/absence of pulmonary disease. The study included 159 patients with median values of Crs (38.0 ml/cmH2O), DP (9.0 cmH2O), and Crs/PBW (0.65 ml/cmH2O/kg). Statistically significant differences in Crs were observed between G1 vs. G2 (p = 0.03) and G1 vs. G3 (p < 0.01). However, the presence/absence of pulmonary disease did not significantly affect Crs (p = 0.59). The formulated predictive model for Crs yielded an R² of 0.157. Our study indicated that Crs in mechanically ventilated patients with near-normal elastance appears influenced by anthropometric data, particularly height and sex. A Crs/PBW cutoff of 0.6 ml/cmH2O/kg was established. The study also presents a preliminary model for Crs prediction.
“…COs are considered to be an intrinsic cause of automatic ventilator triggering; moreover, they may be visible on ventilator signal waveforms during apnea, and they are thought to be due to changes in the cardiac output and physical movement of the heart during each ventricular systole (Aarrestad, 2020;Mac-Intyre et al, 2021). The change in intrathoracic pressure caused by airflow and the displacement of adjacent lung tissue play a role in automatic ventilator triggering (Noujeim et al, 2013;Zhou et al, 2021). This phenomenon can occur both in a patient with brain death and in a patient without brain death.…”
Cardiogenic oscillations (COs) are small waves produced by heartbeats with significant clinical implications. Therefore, the current study was designed to determine the magnitude of COs' knowledge and awareness gaps and their associated determining factors. An observational, cross-sectional study was conducted electronically from December 2022 to February 2023, during which data was collected from the targeted population of healthcare providers in Saudi Arabia. The data were statistically analysed using SPSS software. A total of 407 participants were studied, with 58% being male (n = 237), 79.4% (n = 323) having Saudi citizenship, 68.5% (n = 279) being under 40 years old, and 31.4% (n = 128) being over 40 years old. Males had more general knowledge about COs than females, but the difference is not statistically significant, but it is higher among those over 50. Furthermore, it is observed to be considerably greater among physicians, anaesthesiologists, and respiratory therapists, respectively. The findings of the logistic regression model demonstrated that knowledge was significantly correlated with educational attainment (crude OR = 1.526) and clinical experience (crude OR = 0.653, P<0.05). A significant correlation was found between age (OR = 2.057), educational attainment
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.