Utility of apical four-chamber longitudinal strain in the assessment of childhood cancer survivors: A multicenter study.

BACKGROUND: A previous multicenter study showed that longitudinal changes in standard cardiac functional parameters were associated with the development of cardiomyopathy in childhood cancer survivors (CCS). Evaluation of the relationship between global longitudinal strain (GLS) changes and cardiomyopathy risk was limited, largely due to lack of quality apical 2- and 3-chamber views in addition to 4-chamber view. We sought to determine whether apical 4-chamber longitudinal strain (A4LS) alone can serve as a suitable surrogate for GLS in this population. METHODS: A4LS and GLS were measured in echocardiograms with acceptable apical 2-, 3-, and 4-chamber views. Correlation was evaluated using Pearson and Spearman coefficients, and agreement was evaluated with Bland-Altman plots. The ability of A4LS to identify normal and abnormal values compared to GLS as the reference was evaluated. RESULTS: Among a total of 632 reviewed echocardiograms, we identified 130 echocardiograms from 56 patients with adequate views (38% female; mean age at cancer diagnosis 8.3 years; mean follow-up 9.4 years). Correlation coefficients between A4LS and GLS were .89 (Pearson) and .85 (Spearman), with Bland-Altman plot of GLS-A4LS showing a mean difference of -.71 ± 1.8. Compared with GLS as the gold standard, A4LS had a sensitivity of 86% (95% CI 79%-93%) and specificity of 82% (69%-95%) when using normal range cutoffs and 90% (82%-97%) and 70% (58%-81%) when using ±2 standard deviations. CONCLUSION: A4LS performs well when compared with GLS in this population. Given the more recent adoption of apical 2- and 3-chamber views in most pediatric echocardiography laboratories, A4LS is a reasonable stand-alone measurement in retrospective analyses of older study cohorts and echocardiogram biorepositories.

Pediatric Tracheostomy Emergency Readiness Assessment Tool: International Consensus Recommendations.

OBJECTIVE: To achieve consensus on critical steps and create an assessment tool for actual and simulated pediatric tracheostomy emergencies that incorporates human and systems factors along with tracheostomy-specific steps. METHODS: A modified Delphi method was used. Using REDCap software, an instrument comprising 29 potential items was circulated to 171 tracheostomy and simulation experts. Consensus criteria were determined a priori with a goal of consolidating and ordering 15 to 25 final items. In the first round, items were rated as "keep" or "remove". In the second and third rounds, experts were asked to rate the importance of each item on a 9-point Likert scale. Items were refined in subsequent iterations based on analysis of results and respondents' comments. RESULTS: The response rates were 125/171 (73.1%) for the first round, 111/125 (88.8%) for the second round, and 109/125 (87.2%) for the third round. 133 comments were incorporated. Consensus (>60% participants scoring ≥8, or mean score >7.5) was reached on 22 items distributed across three domains. There were 12, 4, and 6 items in the domains of tracheostomy-specific steps, team and personnel factors, and equipment respectively. CONCLUSIONS: The resultant assessment tool can be used to assess both tracheostomy-specific steps as well as systems factors affecting hospital team response to simulated and clinical pediatric tracheostomy emergencies. The tool can also be used to guide debriefing discussions of both simulated and clinical emergencies, and to spur quality improvement initiatives. LEVEL OF EVIDENCE: 5 Laryngoscope, 133:3588-3601, 2023.

Is the OSA-18 predictive of obstructive sleep apnea: comparison to polysomnography.

OBJECTIVES/HYPOTHESIS: To examine the ability of the OSA-18 to predict Obstructive Sleep Apnea (OSA) in a racially diverse population when compared to overnight polysomnography (PSG). STUDY DESIGN: Cross-sectional retrospective. METHODS: Children 2 to 12 years of age diagnosed with OSA who were treated at a tertiary care institution between 2008 and 2013 and had complete PSG and OSA-18 data were included. We performed logistic regression with OSA as the dependent variable and the OSA-18 total symptom score (TSS), age, gender, race, asthma, and body mass index (BMI) as independent variables. RESULTS: Seventy-nine children (32 females) were included (mean age 5.2 ± 2.4 years). The positive predictive value (PPV) was greater than 90 for an obstructive apnea-hypopnea index (oAHI) ≥ 1. The PPV and specificity were higher for white than for nonwhite children; however, sensitivity and negative predictive value (NPV) of OSA-18 TSS were low for mild, moderate, and severe OSA regardless of race. Age, race, and BMI were not significantly associated with oAHI. CONCLUSIONS: This study, conducted in a racially diverse cohort, examined the ability of the OSA-18 to predict OSA when compared to PSG-the gold standard-and found that sensitivity and NPV were extremely low for both white and nonwhite children. This suggests that the OSA-18 is not sufficiently sensitive to detect OSA nor sufficiently specific to determine the absence of OSA. The OSA-18 should be used as a quality-of-life indicator and is not a reliable substitute for PSG. LEVEL OF EVIDENCE: 4.