Evidence map›Paper›PMID 41444865›Full record

ArticleBMC anesthesiology2025

Hemodynamic subphenotypes in septic shock and their different responses to fluid balance in relation to ICU mortality.

Yan Chen, Rong Liufu, Run Dong, Mao-Mao Cao, Jin-Min Peng, Chun-Yao Wang, Wei Jiang, Xiao-Yun Hu, Shan Li, Li Weng and 1 more

Abstract read
In one paragraph

Article in BMC anesthesiology, 2025. 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

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

1 citing paper in PubMed.

  1. Article
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

11 authors.

Yan ChenMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Rong LiufuMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Run DongMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Mao-Mao CaoMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Jin-Min PengMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Chun-Yao WangMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Wei JiangMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Xiao-Yun HuMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Shan LiMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China.
Li WengMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China. wengli@gmail.com.
Bin DuMedical Intensive Care Unit, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, 100730, China. dubin98@gmail.com.

Funding

CAMS Innovation Fund for Medical Sciences 2021-I2M-1-062National High Level Hospital Clinical Research Funding 2022-PUMCH-B-111National High Level Hospital Clinical Research Funding 2022-PUMCH-D-005, 2022-PUMCH-D-111,2022-PUMCH-B-126National Key R&D Program of China from Ministry of Science and Technology of the People's Republic of China 2022YFC2304601, 2021YFC2500801Noncommunicable Chronic Diseases-National Science and Technology Major Project 2023ZD0506505
6 · The paper itself

Abstract

backgroundHemodynamically unstable septic patients often require aggressive fluid resuscitation, but limited evidence exists on which hemodynamic subphenotypes benefit most.

methodsThe retrospective cohort study conducted in a tertiary hospital of China. Patients with septic shock who underwent pulse index continuous cardiac output (PiCCO) monitoring within 24 h were included from November 2013 to January 2024. We applied latent profile modelling to identify subphenotypes using all hemodynamic parameters monitored via PiCCO. We then tested the association of 48-h fluid balance with ICU mortality in different subphenotypes using logistic regression.

resultA total of 691 patients were included. Latent profile models indicated that a four-profile model was the best fit. Hyperdynamic subphenotype (phenotype1) was characterized by highest cardiac output and lowest systemic vascular resistance index (SVRI); high preload subphenotype (phenotype 2) was characterized by highest preload; hypodynamic subphenotype (phenotype 3) was characterised by lowest cardiac output, highest SVRI, lung function, as well as inotropic score; preserved subphenotype (phenotype 4) was presented with relative normal hemodynamic parameters. No significant difference was observed in 24- and 48-hour fluid balance among subphenotypes, and overall, no significant correlation was found between 48-hour fluid balance and ICU mortality. However, a significant interaction existed between 48-hour fluid balance and phenotype 4; in this group, higher fluid balance at 48 h was associated with increased ICU mortality (OR 1.24, 95% CI 1.05 to 1.46; p = 0.011).

conclusionFour hemodynamic subphenotypes in septic shock was identified. The impact of 48-hour fluid balance on ICU mortality varied by subphenotype, with increased mortality observed only in the preserved hemodynamic group.

Indexed as

Fluid TherapyHemodynamicsHospital MortalityIntensive Care UnitsShock, SepticWater-Electrolyte BalanceAgedCardiac OutputChinaCohort StudiesFemaleHumansMaleMiddle AgedPhenotypeRetrospective StudiesFluid balanceHemodynamicShockSubphenotype

Identifiers

PMID41444865
PMCPMC12729010

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.