# Platelet-lymphocyte ratio and its dynamic changes predict mortality in septic acute kidney injury patients: a retrospective multi-center study using U.S. database and Chinese hospital data

**Authors:** Caihong Liu, Xue Tang, Wei Wei, Yongxiu Huang, Mingjing Guan, Jinglei Ren, Binyu Yang, Ping Fu, Ling Zhang, Yuliang Zhao

PMC · DOI: 10.7717/peerj.20522 · PeerJ · 2026-01-06

## TL;DR

This study shows that the platelet-to-lymphocyte ratio and its changes during hospitalization can predict mortality in patients with septic acute kidney injury.

## Contribution

The study introduces PLR and its dynamic changes as novel predictors of mortality in septic acute kidney injury patients.

## Key findings

- Elevated baseline PLR is associated with higher 28-day and 90-day mortality in septic AKI patients.
- Lower ΔPLR (change in PLR) is linked to increased mortality and longer hospital stays.
- Changes in white blood cell count partially mediate the association between ΔPLR and mortality.

## Abstract

The platelet-to-lymphocyte ratio (PLR), a readily available marker that integrates systemic inflammatory burden and immune competence, has emerged as a cost-effective prognostic biomarker in critical care medicine. Elevated PLR has been linked to adverse outcomes across a spectrum of critical illnesses, yet its utility in predicting prognosis among patients with septic acute kidney injury (AKI) remains undefined. Moreover, little is known about how in-hospital trajectories of PLR influence survival outcomes.

This retrospective study employed data from the Medical Information Mart for Intensive Care IV and West China Hospital of Sichuan University. The primary endpoints were 28-day and 90-day all-cause mortality. The association between baseline PLR/changes in PLR (ΔPLR) and 28-day and 90-day mortality was investigated by survival analysis and Cox proportional hazards models. ΔPLR was calculated as PLR at discharge minus PLR at admission. Patients were stratified based on optimal PLR cut-off values determined from the training cohort, and results were validated internally and externally. Predefined subgroup analyses probed for effect modification across key clinical populations, and mediation analysis was conducted to quantify intermediate variables linking PLR/ΔPLR dynamics to patient outcomes.

A total of 1,478 patients were included in the baseline-PLR cohort and 982 in the ΔPLR cohort. In the training set, an elevated baseline PLR (≥335.44) was associated with significantly higher 28-day mortality (26.56% vs. 18.66%, P = 0.009) and 90-day mortality (46.48% vs. 35.61%, P = 0.003). These findings were confirmed in both the internal validation cohort and an external cohort, and remained robust after adjustment for demographic, clinical and laboratory confounders. Conversely, lower ΔPLR also predicted the 28-day (14.81% vs. 6.94%, P = 0.007; HR = 2.261, P = 0.005) and 90-day mortality (24.07% vs. 15.41%, P = 0.029; HR = 1.702, P = 0.017), as well as prolonged hospital stay (28.64 vs. 21.64 days, P = 0.004). The associations between PLR or ΔPLR and mortality remained robust after adjusting for confounding factors. Subgroup analyses indicated that the prognostic value of PLR was particularly pronounced in non-urinary tract infection patients, and a low baseline PLR conferred a significant survival benefit in male patients. Mediation analysis revealed that changes in white blood cell count (ΔWBC) mediated 27.99% of the association between ΔPLR and 28-day mortality.

Both baseline PLR and its dynamic change during hospitalization may serve as significant predictors of mortality in septic AKI. PLR-based indices could aid in risk stratification and early identification of high-risk patients.

## Linked entities

- **Diseases:** acute kidney injury (MONDO:0002492)

## Full-text entities

- **Diseases:** septic (MESH:D001170), AKI (MESH:D058186), inflammatory (MESH:D007249), urinary tract infection (MESH:D014552)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

57 references — full list in the complete paper: https://tomesphere.com/paper/PMC12786120/full.md

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Source: https://tomesphere.com/paper/PMC12786120