Evidence map›Paper›PMID 42876756›Full record

ArticleFrontiers in pediatrics2026

Association between early blood lactate trajectories and mortality in neonates: a retrospective cohort study.

Xingxing Zhan, Yu Zhang, Hua Lu

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Article in Frontiers in pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Xingxing Zhan *Department of Neonatology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing, China.
Yu Zhang *Department of Hospital Infection Control, Chongqing Mental Health Center, Chongqing, China.
Hua LuDepartment of Pediatrics, Shapingba Hospital affiliated to Chongqing University (Shaping District People's Hospital of Chongqing), Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lactate is a widely used prognostic biomarker in critically ill patients, but its dynamic trajectory and prognostic value in critically ill neonates remain underexplored. This study aimed to investigate the association between dynamic lactate trajectories during the first 48 h after neonatal intensive care unit (NICU) admission and 30-day all-cause mortality risk in this population. Methods: The association between admission blood lactate levels and 30-day all-cause mortality was assessed using multivariable Cox regression and restricted cubic spline (RCS) analysis in 1,112 neonates admitted to the NICU who were included in the blood lactate trajectory classification. Blood lactate trajectories over the first 48 h were identified using a latent growth mixture model (LGMM) based on the highest blood lactate value within each 12-hour interval. A 48-hour landmark analysis was then performed, and survival follow-up was initiated at 48 h after NICU admission among neonates who were alive and eligible for trajectory classification, yielding an analysis cohort of 1,080 neonates. The association between trajectory patterns and 30-day all-cause mortality was further evaluated using multivariable Cox regression models, adjusting for potential confounders including demographics, clinical parameters, and laboratory variables. Kaplan-Meier survival curves were generated for the four trajectory groups in the landmark cohort, and differences in survival were compared using the log-rank test. Results: Admission lactate levels demonstrated a linear positive association with 30-day all-cause mortality risk ( Conclusion: Elevated lactate levels are associated with increased short-term mortality in neonates. Early lactate trajectories are associated with 30-day all-cause mortality and may provide additional clinically relevant information beyond a single admission lactate measurement, potentially aiding early risk stratification. Prospective multicenter studies are warranted to validate these findings.

Indexed as

associationblood lactatemortalityneonatestrajectory analysis

Identifiers

PMID42876756
PMCPMC13662130

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