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.
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Loganathan Aravinthan, Zanframundo Giovanni, Yoshida Akira, Faghihi-Kashani Sara, Bauer Ventura Iazsmin, Dourado Eduardo, Bozan Francisca, Sambataro Gianluca, Yamano Yasuhiko, Bae Sharon Sangmee, Lim Darosa, Ceribelli Angela, Isailovic Natasa, Selmi Carlo, Fertig Noreen, Bravi Elena, Kaneko Yuko, Saraiva André Pinto, Jovani Vega, Bachiller-Corral Javier, Cifrian Jose, Mera-Varela Antonio, Moghadam-Kia Siamak, Wolff Veronica, Campagne Julien, Meyer Alain, Giannini Margherita, Triantafyllias Konstantinos, Knitza Johannes, Gupta Latika, Molad Yair, Iannone Florenzo, Cavazzana Ilaria, Piga Matteo, De Luca Giacomo, Tansley Sarah, Bozzalla-Cassione Emanuele, Bonella Francesco, Corte Tamera J, Doyle Tracy J, Fiorentino David, Gonzalez-Gay Miguel Angel, Hudson Marie, Kuwana Masataka, Lundberg Ingrid E, Mammen Andrew L, McHugh Neil John, Miller Fredrick W, Montecucco Carlomaurizio, Oddis Chester V, Rojas-Serrano Jorge, Schmidt Jens, Scirè Carlo Alberto, Selva-O'Callaghan Albert, Werth Victoria P, Alpini Claudia, Bozzini Sara, Cavagna Lorenzo, Aggarwal Rohit, CLASS Project
Аннотация
METHOD: 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.
RESULT: 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.
CONCLUSION: 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.