Abstract

Objective: This study aimed to investigate the potential of the platelet-to-lymphocyte ratio (PLR) as a predictive biomarker for augmented renal clearance (ARC) in patients undergoing intracerebral hemorrhage (ICH) surgery. Materials and methods: A single-center retrospective cohort study was conducted on 174 patients who underwent ICH surgery. Pearson or Spearman correlation analyses were used to examine the relationship between PLR and baseline characteristics. Restricted cubic spline curves were employed to assess the association between PLR and ARC occurrence. Logistic regression models were applied to identify risk factors for ARC, while the predictive performance of PLR was evaluated using receiver operating characteristic curves. All statistical analyses were performed using IBM SPSS Statistics v.24.0 and R v.4.0.2. Results: Among the 174 patients, 99 (56.9%) developed ARC. The optimal cutoff value for PLR was determined to be 201.31. The AUC of PLR for predicting ARC was 0.69 (95% CI: 0.61 – 0.77), with a sensitivity of 65.3% and specificity of 73.7%. Subgroup analyses revealed that this association was particularly pronounced in patients aged over 55 years, those with a body mass index ≤ 25 kg/m², an APACHE II score of 10 – 20, and a hemorrhage volume ≤ 30 mL. Integrating PLR into a composite model (APACHE II, SOFA, and GCS) increased the AUC from 0.70 (95% CI: 0.62 – 0.78) to 0.73 (95% CI: 0.65 – 0.81). The addition of PLR to the composite scoring system yielded a category net reclassification improvement of 0.12 (95% CI: 0.00 – 0.25). Conclusion: Preoperative low PLR is significantly associated with the early occurrence of ARC and serves as an independent predictor for ARC.


Author Details

Authors

• Jiaxin Dong
• Qian Zhang
• Min Huang
• Jing Zhou
• Suming Zhou
• Dongmei Zhu

Departments

• Department of Geriatrics ICU, Critical Care Center, the First Affiliated Hospital with Nanjing Medical University, Nanjing, China

Address

Dongmei Zhu, Department of Geriatrics ICU, Critical Care Center, The First Affiliated Hospital with Nanjing Medical University, 210029 Nanjing, People’s Republic of China
Email: [email protected]

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