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Derivation and Validation of an Objective Effort of Breathing Score in Critically Ill Children.

ABSTRACT: OBJECTIVES:To derive and validate a score that correlates with an objective measurement of a child's effort of breathing. DESIGN:Secondary analysis of a previously conducted observational study. SETTING:The pediatric and cardiothoracic ICUs of a quaternary-care children's hospital. PATIENTS:Patients more than 37 weeks gestational age to age 18 years who were undergoing extubation. INTERVENTIONS:Effort of breathing was measured in patients following extubation using esophageal manometry to calculate pressure rate product. Simultaneously, members of a multidisciplinary team (nurse, physician, and respiratory therapist) assessed respiratory function using a previously validated tool. Elements of the tool that were significantly associated with pressure rate product in univariate analysis were identified and included in a multivariate model. An Effort of Breathing score was derived from the results of the model using data from half of the subjects (derivation cohort) and then validated using data from the remaining subjects (validation cohort) by calculating the area under the receiver operator characteristic curve for pressure rate product greater than 90th percentile and for the need for reintubation. MEASUREMENTS AND MAIN RESULTS:Among 409 subjects, the median age was 5 months, and nearly half were cardiac surgery patients (49.1%). Retractions, stridor, and pulsus paradoxus were included in the Simple Score. Area under the receiver operator characteristic curve for pressure rate product greater than 90th percentile was 0.8359 (95% CI, 0.7996-0.8722) in the derivation cohort and 0.7930 (0.7524-0.8337) in the validation cohort. Area under the receiver operator characteristic curve for reintubation was 0.7280 (0.6807-0.7752) when all scores were analyzed individually and was 0.7548 (0.6644-0.8452) if scores from three clinicians from different disciplines were summated. Results were similar regardless of provider discipline or training. CONCLUSIONS:A scoring system was derived and validated, performed acceptably to predict increased effort of breathing or need for advanced respiratory support and may function best when used by a team.

SUBMITTER: Shein SL

PROVIDER: S-EPMC6322953 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Derivation and Validation of an Objective Effort of Breathing Score in Critically Ill Children.

Shein Steven L SL Hotz Justin J Khemani Robinder G RG

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies 20190101 1

<h4>Objectives</h4>To derive and validate a score that correlates with an objective measurement of a child's effort of breathing.<h4>Design</h4>Secondary analysis of a previously conducted observational study.<h4>Setting</h4>The pediatric and cardiothoracic ICUs of a quaternary-care children's hospital.<h4>Patients</h4>Patients more than 37 weeks gestational age to age 18 years who were undergoing extubation.<h4>Interventions</h4>Effort of breathing was measured in patients following extubation ...[more]

PMID: 30395108

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Project description:ObjectivesTo determine whether there are clinically relevant and reproducible Vasoactive Inotrope Score (VIS) trajectories in children with shock during the acute phase of critical illness.DesignRetrospective, observational cohort study.SettingTwo tertiary, academic PICUs.PatientsChildren (< 18 yr old) who required vasoactive infusions within 24 hours of admission to the PICU. Those admitted post cardiac surgery were excluded.InterventionsNone.Measurements and main resultsAn hourly VIS was calculated for the first 72 hours after initiation of vasoactives. Group-based trajectory modeling (GBTM) was applied to a derivation set (75% of encounters) and compared with the trajectories in a validation set (25% of encounters) using the same variables. The primary outcome was in-hospital mortality, and the secondary outcome was multiple organ dysfunction syndrome (MODS) on day 7. A total of 1,828 patients met inclusion criteria, and 309 (16.9%) died. GBTM identified four subgroups that were reproducible in the validation set: "Mild, fast resolving shock" ( n = 853 [47%]; mortality 9%), "Moderate, slow resolving shock" ( n = 422 [23%]; mortality 15%), "Moderate, prolonged shock" ( n = 312 [17%]; mortality 21%), and "Severe, prolonged shock" ( n = 241 [13%]; mortality 40%). There was a significant difference in mortality, MODS on day 7, and suspected infection ( p < 0.001) across groups. The "Mild, fast resolving shock" and "Severe, prolonged shock" groups were identifiable within the first 24 hours. The "Moderate, slow resolving" and "Moderate, prolonged shock" groups were indistinguishable in the first 24 hours after initiation of vasoactives but differed in in-hospital mortality and MODS on day 7. Hydrocortisone administration was independently associated with poor outcomes in the "Mild, fast resolving shock" group.ConclusionsWe uncovered four distinct and reproducible VIS trajectory groups that were associated with different risk factors, response to therapy, and outcomes in children with shock. Characterizing VIS trajectory groups in the acute phase of critical illness may enable better prognostication and more targeted management.

Project description:ImportanceProtein binding of valproate varies among ICU patients, altering the biologically active free valproate concentration (VPAC). Free VPAC is measured at few laboratories and is often discordant with total VPAC. Existing equations to predict free VPAC are either not validated or are inaccurate in ICU patients.ObjectivesWe designed this study to derive and validate a novel equation to predict free VPAC using data from ICU patients and to compare its performance to published equations.DesignRetrospective cohort study.SettingTwo academic medical centers.ParticipantsPatients older than 18 years old with concomitant free and total VPACs measured in the ICU were included in the derivation cohort if admitted from 2014 to 2018, and the validation cohort if admitted from 2019 to 2022.Main outcomes and measuresMultivariable linear regression was used to derive an equation to predict free VPAC. Modified Bland-Altman plots and the rate of therapeutic concordance between the measured and predicted free VPAC were compared.ResultsDemographics, median free and total VPACs, and valproate free fractions were similar among 115 patients in the derivation cohort and 147 patients in the validation cohort. The Bland-Altman plots showed the new equation performed better (bias, 0.3 [95% limits of agreement, -13.6 to 14.2]) than the Nasreddine (-9.2 [-26.5 to 8.2]), Kodama (-9.7 [-30.0 to 10.7]), Conde Giner (-7.9 [-24.9 to 9.1]), and Parent (-9.9 [-30.7 to 11.0]) equations, and similar to Doré (-2.0 [-16.0 to 11.9]). The Doré and new equations had the highest therapeutic concordance rate (73%).Conclusions and relevanceFor patients at risk of altered protein binding such as ICU patients, existing equations to predict free VPAC are discordant with measured free VPAC. A new equation had low bias but was imprecise. External validation should be performed to improve its precision and generalizability. Until then, monitoring free valproate is recommended during critical illness.

Project description:IntroductionThe current definition of acute kidney injury (AKI) includes increased serum creatinine (sCr) concentration and decreased urinary output (UO). Recent studies suggest that the standard UO threshold of 0.5 ml/kg/h may be suboptimal. This study aimed to develop and validate a novel UO-based AKI classification system that improves mortality prediction and patient stratification.MethodsData were obtained from the MIMIC-IV and eICU databases. The development process included (1) evaluating UO as a continuous variable over 3-, 6-, 12-, and 24-h periods; (2) identifying 3 optimal UO cutoff points for each time window (stages 1, 2, and 3); (3) comparing sensitivity and specificity to develop a unified staging system; (4) assessing average versus persistent reduced UO hourly; (5) comparing the new UO-AKI system to the KDIGO UO-AKI system; (6) integrating sCr criteria with both systems and comparing them; and (7) validating the new classification with an independent cohort. In all these steps, the outcome was hospital mortality. Another analyzed outcome was 90-day mortality. The analyses included ROC curve analysis, net reclassification improvement (NRI), integrated discrimination improvement (IDI), and logistic and Cox regression analyses.ResultsFrom the MIMIC-IV database, 35,845 patients were included in the development cohort. After comparing the sensitivity and specificity of 12 different lowest UO thresholds across four time frames, 3 cutoff points were selected to compose the proposed UO-AKI classification: stage 1 (0.2-0.3 mL/kg/h), stage 2 (0.1-0.2 mL/kg/h), and stage 3 (< 0.1 mL/kg/h) over 6 h. The proposed classification had better discrimination when the average was used than when the persistent method was used. The adjusted odds ratio demonstrated a significant stepwise increase in hospital mortality with advancing UO-AKI stage. The proposed classification combined or not with the sCr criterion outperformed the KDIGO criteria in terms of predictive accuracy-AUC-ROC 0.75 (0.74-0.76) vs. 0.69 (0.68-0.70); NRI: 25.4% (95% CI: 23.3-27.6); and IDI: 4.0% (95% CI: 3.6-4.5). External validation with the eICU database confirmed the superior performance of the new classification system.ConclusionThe proposed UO-AKI classification enhances mortality prediction and patient stratification in critically ill patients, offering a more accurate and practical approach than the current KDIGO criteria.

Project description:ImportanceThe Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) uses the Sequential Organ Failure Assessment (SOFA) score to grade organ dysfunction in adult patients with suspected infection. However, the SOFA score is not adjusted for age and therefore not suitable for children.ObjectivesTo adapt and validate a pediatric version of the SOFA score (pSOFA) in critically ill children and to evaluate the Sepsis-3 definitions in patients with confirmed or suspected infection.Design, setting, and participantsThis retrospective observational cohort study included all critically ill children 21 years or younger admitted to a 20-bed, multidisciplinary, tertiary pediatric intensive care unit between January 1, 2009 and August 1, 2016. Data on these children were obtained from an electronic health record database. The pSOFA score was developed by adapting the original SOFA score with age-adjusted cutoffs for the cardiovascular and renal systems and by expanding the respiratory criteria to include noninvasive surrogates of lung injury. Daily pSOFA scores were calculated from admission until day 28 of hospitalization, discharge, or death (whichever came first). Three additional pediatric organ dysfunction scores were calculated for comparison.ExposuresOrgan dysfunction measured by the pSOFA score, and sepsis and septic shock according to the Sepsis-3 definitions.Main outcomes and measuresThe primary outcome was in-hospital mortality. The daily pSOFA scores and additional pediatric organ dysfunction scores were compared. Performance was evaluated using the area under the curve. The pSOFA score was then used to assess the Sepsis-3 definitions in the subgroup of children with confirmed or suspected infection.ResultsIn all, 6303 patients with 8711 encounters met inclusion criteria. Each encounter was treated independently. Of the 8482 survivors of hospital encounters, 4644 (54.7%) were male and the median (interquartile range [IQR]) age was 69 (17-156) months. Among the 229 nonsurvivors, 127 (55.4%) were male with a median (IQR) age of 43 (8-144) months. In-hospital mortality was 2.6%. The maximum pSOFA score had excellent discrimination for in-hospital mortality, with an area under the curve of 0.94 (95% CI, 0.92-0.95). The pSOFA score had a similar or better performance than other pediatric organ dysfunction scores. According to the Sepsis-3 definitions, 1231 patients (14.1%) were classified as having sepsis and had a mortality rate of 12.1%, and 347 (4.0%) had septic shock and a mortality rate of 32.3%. Patients with sepsis were more likely to die than patients with confirmed or suspected infection but no sepsis (odds ratio, 18; 95% CI, 11-28). Of the 229 patients who died during their hospitalization, 149 (65.0%) had sepsis or septic shock during their course.Conclusions and relevanceThe pSOFA score was adapted and validated with age-adjusted variables in critically ill children. Using the pSOFA score, the Sepsis-3 definitions were assessed in children with confirmed or suspected infection. This study is the first assessment, to date, of the Sepsis-3 definitions in critically ill children. Use of these definitions in children is feasible and shows promising results.

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Dataset Information

Derivation and Validation of an Objective Effort of Breathing Score in Critically Ill Children.

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Derivation and Validation of an Objective Effort of Breathing Score in Critically Ill Children.

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