The Impact of the Selective Cytopheretic Device on Neutrophil-to-Lymphocyte Ratios and Hematological Parameters in AKI: A Pooled Analysis
Bibliographic record
Abstract
Background: The Selective Cytopheretic Device (SCD) is an immunomodulatory cell-directed extracorporeal therapy that reprograms activated neutrophils and monocytes towards immune homeostasis in hyperinflammatory conditions such as acute kidney injury (AKI). However clinical mechanisms remain unclear. Methods: We examined the effect of SCD treatment from prior AKI clinical studies on systemic inflammation through neutrophil-to-lymphocyte ratios (NLR) and other hematological measures to gain insights into the mechanism of the SCD. Linear-mixed effects regression was used to estimate differences in NLR and other hematological measures between SCD treated patients and controls over the first six days after initiating CKRT. Results: Hematological data were analyzed from 98 patients with AKI requiring continuous kidney replacement therapy (CKRT) treated with the SCD, and 32 CKRT only control patients. SCD reduced NLR across all individual studies through Day 6 of treatment, while the control group demonstrated upward trends in NLR past day 3. When analyzed as pooled groups, both cohorts displayed similar baseline NLRs (SCD = 23.6 vs. control = 21.7; p=0.636). SCD treated adult patients demonstrated a statistically significant reduction in NLR vs. control adult patients at Day 6 (SCD = 13.3 vs. control = 25.7 at day 6; ptrend = 0.011). This difference was maintained following sensitivity analysis upon exclusion of an adult ICU study due to a shorter follow-up period (SCD = 13.7 vs. control = 25.6; ptrend = 0.013). NLR reductions in the SCD group were driven by decreases in neutrophils and increases in lymphocytes. No statistically significant differences were observed between groups for monocyte-to-lymphocyte ratio (MLR) levels or platelets over the same treatment duration. Conclusions: In a pooled analysis of multiple AKI clinical studies SCD treatment demonstrated reductions in NLR. This analysis provides further clinical mechanistic evidence of leukocyte immunomodulation in targeting the dysregulation of effector immune cells in hyperinflammatory conditions such as AKI and sepsis.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".