Do whole body impedance cardiography estimates of left ventricular structure, volumes and function correlate with the gold standard of cardiac magnetic resonance imaging?
Bibliographic record
Abstract
Cardiac magnetic resonance (CMR) is considered a gold standard for assessing left ventricular (LV) structure, volume and function. Impedance cardiography has been purported to provide similar information, including a surrogate measure of LV ejection fraction (EF). We sought to determine whether impedance cardiography estimates correlate with CMR values. Consecutive patients (n = 204) undergoing a standard clinical CMR using either 1.5T or 3T MRI were enrolled. Whole-body impedance cardiography, using the Non-Invasive Cardiac System (NICaS), was performed within 14 days of the CMR. At least 5 consecutive NICaS measurements, calculated every 20 seconds, were averaged to estimate LV stroke volume (SV), cardiac output (CO) and the surrogate of an LV EF < 55% (i.e., Granov Goor Index < 10). Short axis cine imaging was performed in accordance with CMR Society guidelines. CMR and NICaS results were compared using linear regression. Bland-Altman (BA) plots were incrementally used to evaluate individual variability in modality correlation over the range of data observed. The capacity of NICaS to predict a CMR-based LV EF < 55% was determined via receiver operating characteristic curve (ROC) area under the curve (AUC) analysis. The study population included 85 (42%) women, had a mean age of 55 years and a mean CMR EF of 57% (range 22% to 82%). A modest, significant, linear correlation was found between NICaS and CMR LV SV (r = 0.34; p < 0.0001) (Figure 1 ), though there was substantial variability within subjects over the range of values (Figure 2 ). Similar results were observed between NICaS and CMR CO (r = 0.19; p = 0.007). No significant linear correlation between the NICaS estimate of LV EF and CMR LV EF was observed (r = 0.13; p = 0.07). There were 72 (35%) subjects with a CMR EF < 55%. ROC analysis showed an AUC for the NICaS LV EF surrogate of 0.53 for predicting a CMR LV EF < 55% with a sensitivity of 41% (95% CI: 30% to 53%) and specificity of 68% (95% CI: 59% to 76%). Scatterplot of SV correlation between NICaS and CMR . Bland-Altman plot of individual NICaS SV and CMR SD values . NICaS estimates of LV structure, volume and function were only modestly correlated with CMR values and the capacity of impedance cardiography to predict CMR values was limited (r for CO = 4% and r for SV = 11%). Further, significant variability within patients was seen. NICaS was not reliable for identifying patients with a reduced LV EF, as evidenced by a low ROC area under the curve, modest sensitivity and poor specificity. These data do not support the use of NICaS impedance cardiography as a surrogate marker of LV structure, volume and function as compared to the gold standard of CMR.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.060 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".