Evidence map›Paper›PMID 40739291›Full record

ArticleScientific reports2025

Association between protein and energy intake during acute phase and sepsis outcomes: a retrospective cohort study.

Ke-Li Wen, Yun-Xing Cao, Hu Du, Wen-Qi Huang, An Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

5 authors.

Ke-Li WenDepartment of Critical Care Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Yun-Xing CaoDepartment of Critical Care Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Hu DuDepartment of Critical Care Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Wen-Qi HuangDepartment of Critical Care Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
An ZhangDepartment of Critical Care Medicine, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China. 300704@hospital.cqmu.edu.cn.

Funding

the Second Affiliated Hospital of Chongqing Medical University 2023IITXG06
6 · The paper itself

Abstract

This study investigated the relationship between protein and energy intake during the early (days 1-2) and late (days 3-7) acute phase and prognosis in septic patients with nutritional risk screening 2002 ≥ 3. Cox regression analysis was performed to identify factors associated with 28-day mortality. Among 293 shock patients, higher energy intake in days 3-7 was signifcantly associated with lower 28-day mortality (hazard ratio, 0.969; 95% confidence interval, 0.942-0.997; P = 0.033). Kaplan-Meier analysis showed achieving 75% of energy target in days 3-7 correlated with decreased 28-day mortality (P = 0.040). In 309 non-shock patients, no significant relationships between nutritional therapy during acute phase and 28-day mortality were observed. Enhanced energy intake in days 3-7 showed no correlation with improvements in length of intensive care unit/hospital stay, ventilator-free days, non-ICU survival days or hospitalization costs for septic patients. In shock patients, energy intake in days 3-7 demonstrated no relationship with secondary infections; however, among non-shock patients, achieving 50% of energy intake in days 3-7 was linked to lower incidence of fungus infections (P = 0.006) and intra-abdominal infections(P = 0.003). Our findings demonstrate statistical associations between augmenting energy intake during the late acute phase and potential benefits in sepsis.

Indexed as

Dietary ProteinsEnergy IntakeSepsisAgedFemaleHumansIntensive Care UnitsKaplan-Meier EstimateLength of StayMaleMiddle AgedPrognosisRetrospective StudiesDietary ProteinsCalorieEnergyMortalityNutritional riskSepsis

Identifiers

PMID40739291
PMCPMC12311007

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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.