Evidence map›Paper›PMID 41457045›Full record

ArticleShock (Augusta, Ga.)2026

A New Proposed Approach to Categorize Sepsis Sub-phenotypes Based on Combined Trajectories of Perfusion Index and Central Venous Oxygen Saturation.

Xinchen Wang, Xiaoting Wang, Yan Kang, Xiang Zhou, Yun Long, Wei Du

Abstract read
In one paragraph

Article in Shock (Augusta, Ga.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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

6 authors.

Xinchen WangDepartment of Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, China.
Xiaoting WangDepartment of Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, China.
Yan KangDepartment of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Xiang ZhouDepartment of Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, China.
Yun LongDepartment of Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, China.
Wei DuDepartment of Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Science, Beijing, China.

Funding

the National Key R&D Program of China 2022YFC2504503
6 · The paper itself

Abstract

backgroundCirculatory disturbances in sepsis are heterogeneous but may manifest as a mismatch between peripheral perfusion and tissue oxygenation. Peripheral perfusion index (PI) and central venous oxygen saturation (ScvO 2 ) have been independently validated as prognostic markers in sepsis; however, their combined utility remains unexplored.

methodsThis retrospective cohort study included patients admitted to three intensive care units between January 1, 2015, and December 31, 2021. A novel index, PISO = (PI - 1.1) × ScvO 2 , was calculated every 6 hours during the first 72 hours following sepsis onset. Dynamic time warping and hierarchical agglomerative clustering were applied to PISO trajectories to identify sub-phenotypes, with internal validation and sensitivity analysis. Machine learning algorithms were used to predict the sub-phenotypes using clinical features. Survival was assessed using Kaplan-Meier analysis, with particular focus on the association with 12-hour cumulative fluid balance.

resultsAmong 12,975 patients, 5,205 (40.1%) developed sepsis; 720 patients with complete PI and ScvO 2 data were included. Three distinct PISO sub-phenotypes were identified. Phenotype 3 (n = 190, 33.0%), characterized by a persistently declining trajectory from negative, was associated with the poorest clinical outcomes. Random forest classifier demonstrated the best performance and identified key early clinical features differentiating each sub-phenotype. Kaplan-Meier analysis revealed that a 12-hour cumulative fluid balance ≤0 mL was significantly associated with improved 28-day survival in phenotype 1 ( P = 0.038) and phenotype 2 ( P = 0.033).

conclusionsA persistently negative and declining PISO index within the first 72 hours of sepsis onset identifies a high-risk sub-phenotype. A nonpositive 12-hour cumulative fluid balance is associated with improved survival in select sub-phenotypic groups.

Indexed as

OxygenOxygen SaturationPerfusion IndexSepsisAgedFemaleHumansIntensive Care UnitsMaleMiddle AgedPhenotypePrognosisRetrospective StudiesOxygenCentral venous oxygen saturationcritical illnessfluid resuscitationperipheral perfusion indextrajectory

Identifiers

PMID41457045
PMCPMC13456544

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.