Psoas muscle measurement as a marker of sarcopenia predicts risk of Grade 4 or 5 baseline chronic kidney disease and its progression
Bibliographic record
Abstract
Abstract Background Psoas muscle area (PMA) has recently been found to be an appropriate surrogate for whole‐body skeletal muscle mass and a measure of sarcopenia. Sarcopenia, which includes a decreased muscle mass and correlated with physical disability, morbidity, and mortality, is prevalent in and has deleterious consequences for patients with chronic kidney disease (CKD). The current study investigates the association of PMA, as a marker of sarcopenia, with baseline kidney function and CKD progression. Methods A retrospective cohort study was conducted in a community hospital nephrology clinic setting. For this study, sarcopenia was defined as standardized PMA measured at the L3 level either as below 25th percentile or below the median. Progression of CKD was measured by estimated glomerular filtration rate (eGFR) decline rate and change in proteinuria. To assess sarcopenia as a predictor of baseline CKD Grade 4 or 5, a multivariate logistic regression model was applied using standardized PMA < 25th percentile. To assess sarcopenia as a predictor for eGFR slope, a multivariate generalized linear model was applied using PMA < median. Results Among the 230 patients studied, the median age was 74 (31–92) years, 56.52% (130/230) were male patients, and the majority was Caucasian 62.61% (144/230). The body mass index classes of <18.5, 18.5–24.9, 25.0–29.9, and >29.9 kg/m2 were categorized by 4.8% (11/229), 24.89% (57/229), 33.19% (76/229), and 37.12% (85/229), respectively. Sarcopenia as a predictor of baseline CKD Grade 4 or 5 had an unadjusted odds ratio of 1.46 (0.87–2.63) and an adjusted odds ratio of 2.45 (1.13–5.31). Sarcopenia as a predictor for eGFR slope had an unadjusted odds ratio of 1.01 (1.00–1.04) and an adjusted odds ratio 1.03 (1.00–1.05). Conclusions Sarcopenia, as measured by PMA, predicts a significant risk of more severe baseline CKD grade and progression. Future studies should examine sex‐specific muscle mass tools as a predictor of renal function to create more targeted interventions.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".