Flow-to-Compliance Ratio as a Bedside Marker of Strain Rate in Pediatric Acute Respiratory Distress Syndrome: Analysis of Observational Cohort Data From 2022

OBJECTIVES: To determine the relationship between the ratio of peak inspiratory flow and respiratory system compliance (Flow/CRS) and strain rate in cases of pediatric acute respiratory distress syndrome (PARDS). DESIGN: Secondary analysis of observational cohort data collected in 2022. SETTING: Single-center tertiary PICU in Chile. PATIENTS: Thirty-one mechanically ventilated patients with early PARDS, 15 years or younger. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: All patients were supported with volume-controlled ventilation during measurement of pulmonary mechanics, including tidal volume (Vt), inspiratory time (Ti), inspiratory flow, and respiratory system compliance (CRS). End-expiratory lung volume (EELV) was assessed using the nitrogen multiple-breath wash-in/washout method. Lung strain (Vt/EELV), strain rate (lung strain/Ti, s-1), and the Flow/CRS ratio ([L·min-1]/[mL·cm H2O-1]) were calculated. The median (interquartile range [IQR]) strain rate was 0.56 s-1 (IQR, 0.40-0.73 s-1) and the median Flow/CRS ratio was 0.94 (IQR, 0.77-1.20). In the complete dataset, Flow/CRS ratio demonstrated a moderate positive correlation with measured strain rate (Spearman, ρ = 0.42; 95% CI, 0.08-0.67; p = 0.009). Linear regression confirmed a proportional relationship (R2 = 0.17; p = 0.022), but the Bland-Altman analysis showed systematic bias (mean difference, -0.43 ± 0.29 s-1) with 95% limits of agreement from -0.99 to 0.14 s-1. Sensitivity analysis excluding three outliers (leaving data from 28 patients) demonstrated a stronger association (ρ = 0.63; p = 0.0018) and improved model fit (R2 = 0.41; p < 0.001), with the following equation: strain rate = 0.61·(Flow/CRS) + 0.01. CONCLUSIONS: In PARDS, the Flow/CRS ratio is associated with measured strain rate but exhibits systematic bias, precluding direct interchangeability. Flow/CRS may serve as a pragmatic bedside marker reflecting deformation-velocity behavior. Prospective validation in larger and more heterogeneous cohorts is required.

Authors

Institutions

Publication Details

Journal
Pediatric Critical Care Medicine
Published
2026-11-04
DOI
https://doi.org/10.1097/pcc.0000000000004074
Primary Topic
Respiratory Support and Mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Flow-to-Compliance Ratio as a Bedside Marker of Strain Rate in Pediatric Acute Respiratory Distress Syndrome: Analysis of Observational Cohort Data From 2022

Marjorie Améstica, Pablo Cruces R., Juan Pablo Cruces, Franco Díaz
Pediatric Critical Care Medicine
Respiratory Support and Mechanisms
article

Flow-to-Compliance Ratio as a Bedside Marker of Strain Rate in Pediatric Acute Respiratory Distress Syndrome: Analysis of Observational Cohort Data From 2022

Marjorie Améstica, Pablo Cruces R., Juan Pablo Cruces, Franco Díaz
article en

Abstract

OBJECTIVES: To determine the relationship between the ratio of peak inspiratory flow and respiratory system compliance (Flow/CRS) and strain rate in cases of pediatric acute respiratory distress syndrome (PARDS). DESIGN: Secondary analysis of observational cohort data collected in 2022. SETTING: Single-center tertiary PICU in Chile. PATIENTS: Thirty-one mechanically ventilated patients with early PARDS, 15 years or younger. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: All patients were supported with volume-controlled ventilation during measurement of pulmonary mechanics, including tidal volume (Vt), inspiratory time (Ti), inspiratory flow, and respiratory system compliance (CRS). End-expiratory lung volume (EELV) was assessed using the nitrogen multiple-breath wash-in/washout method. Lung strain (Vt/EELV), strain rate (lung strain/Ti, s-1), and the Flow/CRS ratio ([L·min-1]/[mL·cm H2O-1]) were calculated. The median (interquartile range [IQR]) strain rate was 0.56 s-1 (IQR, 0.40-0.73 s-1) and the median Flow/CRS ratio was 0.94 (IQR, 0.77-1.20). In the complete dataset, Flow/CRS ratio demonstrated a moderate positive correlation with measured strain rate (Spearman, ρ = 0.42; 95% CI, 0.08-0.67; p = 0.009). Linear regression confirmed a proportional relationship (R2 = 0.17; p = 0.022), but the Bland-Altman analysis showed systematic bias (mean difference, -0.43 ± 0.29 s-1) with 95% limits of agreement from -0.99 to 0.14 s-1. Sensitivity analysis excluding three outliers (leaving data from 28 patients) demonstrated a stronger association (ρ = 0.63; p = 0.0018) and improved model fit (R2 = 0.41; p < 0.001), with the following equation: strain rate = 0.61·(Flow/CRS) + 0.01. CONCLUSIONS: In PARDS, the Flow/CRS ratio is associated with measured strain rate but exhibits systematic bias, precluding direct interchangeability. Flow/CRS may serve as a pragmatic bedside marker reflecting deformation-velocity behavior. Prospective validation in larger and more heterogeneous cohorts is required.

Pediatric Critical Care Medicine
Finis Terrae University (CL), Center for Climate and Resilience Research (CL)
Openalex Percentile: Top 13%
Respiratory Support and Mechanisms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon