SO027ASSOCIATIONS OF MUSCLE SODIUM DEPOSITION WITH SODIUM-23 MRI IN HEMODIALYSIS PATIENTS
Bibliographic record
Abstract
Abstract Background and Aims The development of sodium-23 magnetic resonance imaging (23Na MRI) allows the clinical quantification of tissue sodium. Recent studies have shown that hemodialysis (HD) patients have a tendency to retain tissue sodium due to impaired mechanisms in local tissue sodium clearance. However, the clinical significance of tissue sodium deposition in the HD patient population is unclear yet. The aim of this study was to investigate the association of tissue sodium deposition with well-established biomarkers of clinical outcomes. Method Chronic, thrice weekly HD patients underwent 23Na MRI of the leg on a non-dialysis day, during either the long or short interdialytic interval. Blood samples were also taken for the measurement of standard blood-based biomarkers. A multinuclear-capable 3.0-T MRI (GE Healthcare, Milwaukee WI) was used to acquire proton and sodium images. Maps of tissue 23Na concentration were generated using an in-house software developed within MATLAB (Mathworks, Natick, USA, R2018a). 23Na concentration maps were superimposed with the proton-anatomy images to delineate the regions of interest. Using the Horos (The Horos Project, Version 4.0.0) software, the soleus muscle was segmented (Figure, Panel A) and the sodium concentration in the region of interest was recorded for analysis. Results 28 HD patients completed both 23Na MRI and bloodwork; 7/28 (25%) patients were females; mean±SD age was 66.1±8.3 years, mean body mass index was 30.9±6.5 kg/m2, and mean HD vintage was 30.2±34.9 months. Soleus muscle sodium concentration showed a strong, negative correlation with serum albumin (Figure, Panel B; r=-0.66, p<0.0001). Furthermore, soleus muscle sodium concentration showed a minor association with plasma hemoglobin (r=-0.46, p=0.01). Conclusion Serum albumin is a recognized, powerful predictor of mortality in the hemodialysis patient population. The strong relationship between muscle sodium concentration and serum albumin levels suggests that tissue sodium deposition may be a relevant biomarker of clinical outcomes. In addition, muscle sodium deposition may be involved in the development of anemia. These findings warrant further studies investigating the consequences of sodium removal on these biomarkers.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.002 | 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 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".