2D Speckle Tracking Strain Echocardiography in Multisystem Inflammatory Syndrome in Children: A Multicenter Analysis From the MUSIC Study
Bibliographic record
Abstract
BACKGROUND: 2D-speckle tracking echocardiography may help detect subclinical ventricular dysfunction, but data in multisystem inflammatory syndrome in children (MIS-C) are scarce. We investigated left ventricular (LV) strain parameters in MIS-C and their association with outcomes. METHODS: We performed an ambi-directional, 32-center cohort study on hospitalized patients with MIS-C (March 2020–November 2021) with at least 1 echocardiogram read by the Core Lab. Generalized estimating equation modeling was used to test associations between LV strain and a composite in-hospital adverse cardiovascular outcome (vasoactive support, arrhythmias, cardiac arrest, extracorporeal support, death, or heart transplant). RESULTS: Of 349 patients (median age, 8.7 years [interquartile range, 5.3–12.9]), 35% had decreased LV ejection fraction during hospitalization, and 45% had depressed LV strain (either 4-chamber LV longitudinal strain [4CH-LVLS] or mid-ventricular LV circumferential strain [mid-LVCS]). The worst 4CH-LVLS and mid-LVCS occurred at ≈5 days of illness; 50% of abnormal LV strain normalized within 1 week, and 95% within 50 days. In-hospital adverse outcomes occurred in 35% of patients; these patients were older ( P =0.003) and, at admission, had more likely abnormal troponin ( P <0.001) higher C-reactive protein ( P <0.001), higher indexed LV end-diastolic volume ( P <0.001) and mass ( P =0.015), worse LV ejection fraction ( P <0.001), and worse LV strain (4CH-LVLS, P =0.002; mid-LVCS, P =0.001). Covariate-adjusted individual models for each strain parameter showed that 4CH-LVLS (adjusted odds ratio, 1.09 [95% CI, 1.07–1.12]), mid-LVCS (adjusted odds ratio, 1.06 [95% CI, 1.04–1.09]), worst LV strain Z score between 4CH-LVLS and mid-LVCS (adjusted odds ratio, 1.30 [95% CI, 1.21–1.41]), and early diastolic longitudinal strain rate (adjusted odds ratio, 1.68 [95% CI, 1.26–2.23]) at admission were found to be associated with adverse outcomes. CONCLUSIONS: About half of patients with MIS-C had abnormal LV strain during hospitalization. 4CH-LVLS, mid-LVCS, the most abnormal strain Z score, and early diastolic longitudinal strain rate at admission were independently associated with in-hospital adverse cardiovascular outcome. These data may help early characterization and prognostication in MIS-C.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".