Evidence map›Paper›PMID 41624602›Full record

ArticleWorld journal of emergency medicine2026

Normal initial lactate level in sepsis patients: is lactate still useful for prognosis prediction?

Xin Lu, Mubing Qin, Zengrui Song, Ying Chen, Huadong Zhu, Yanxia Gao, Yi Li

Abstract read
In one paragraph

Article in World journal of emergency medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xin Lu1Emergency Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Mubing Qin1Emergency Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Zengrui Song1Emergency Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Ying Chen2Southwest Electronic Technology Research Institute of China, Chengdu 610036, China.
Huadong Zhu1Emergency Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Yanxia Gao3Emergency Department, the First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.
Yi Li1Emergency Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis is a highly heterogeneous organ dysfunction syndrome. There is limited evidence regarding phenotypes and clinical outcomes in sepsis patients with initial normal lactate levels. We sought to identify the lactate-based clinical phenotypes and outcomes of sepsis patients.

methodsThe Medical Information Mart for Intensive Care IV (MIMIC-IV) and eICU databases were used to conduct a retrospective cohort study. Adult sepsis patients were included. Lactate was measured via blood gas, and the same assay type was used across both databases. Serial lactate measurements were analyzed via a two-point classification system based on the highest values recorded during two consecutive 24-hour periods following ICU admission. The first measurement window (T1) comprised the initial 24 h post-admission, whereas the second window (T2) covered 24-48 h post-admission. The lactate difference was defined as the numerical change between the highest lactate level at T2 and the highest level at T1. The time interval between these two measurements was fixed, with T2 commencing immediately after T1, together encompassing the first 48 h post-ICU admission. A normal lactate level was defined as ≤2 mmol/L, and an elevated level was defined as >2 mmol/L. Sepsis patients were stratified into four trajectory phenotypes: (1) normal‒normal (N‒N); (2) normal-elevated (N‒E); (3) elevated-normal (E‒N); and (4) elevated-elevated (E‒E). The primary outcome was in-hospital mortality.

resultsThis study enrolled 6,926 sepsis patients. The clinical phenotypes of the sepsis patients were as follows: N‒N (24.4%), N‒E (3.8%), E‒N (36.4%), and E‒E (35.3%). The in-hospital mortality rates of sepsis patients with the four phenotypes from the MIMIC-IV and eICU databases were as follows (N‒N: 18.9% vs. 17.6%,

conclusionIn sepsis patients with normal initial lactate levels, serial lactate measurements could be valuable for prognostic assessment.

Indexed as

Clinical phenotypesLactateMortalityPrognosisSepsis

Identifiers

PMID41624602
PMCPMC12856087

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.