Evidence map›Paper›PMID 42902191›Full record

ArticleBMC infectious diseases2026

Controlling nutritional status score as a novel prognostic tool for hospital mortality risk stratification in sepsis: a large-scale retrospective cohort analysis.

Wei Song, Hai-Bin Yin, Dan Liu, Di-En Yan, Hui-Lei Zeng, Er-Liang Xie

Abstract read
In one paragraph

Article in BMC infectious diseases, 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.

Wei SongDepartment of Infectious Diseases, Ji'an Central People's Hospital, 106 Jinggangshan Avenue, Jizhou District, Ji'an, Jiangxi Province, 343099, China.
Hai-Bin YinDepartment of Infectious Diseases, Ji'an Central People's Hospital, 106 Jinggangshan Avenue, Jizhou District, Ji'an, Jiangxi Province, 343099, China. hostweet@163.com.
Dan LiuDepartment of Physical Examination, Ji'an Central People's Hospital, Ji'an, Jiangxi Province, China.
Di-En YanDepartment of Endocrinology, Ji'an Central People's Hospital, Ji'an, Jiangxi Province, P.R. China.
Hui-Lei ZengDepartment of Emergency, Ji'an Central People's Hospital, Ji'an, Jiangxi Province, P.R. China.
Er-Liang XieDepartment of Infectious Diseases, Ji'an Central People's Hospital, 106 Jinggangshan Avenue, Jizhou District, Ji'an, Jiangxi Province, 343099, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMalnutrition is associated with poor outcomes in critically ill patients. However, the prognostic value of the Controlling Nutritional Status (CONUT) score in sepsis remains unclear. This study aimed to investigate the association between CONUT score and hospital death in sepsis patients.

methodsIn this retrospective cohort study, 2,143 sepsis patients from the eICU Collaborative Research Database were categorized into Mild (2-4 points), Moderate (5-8 points), and Severe (9-12 points) malnutrition groups based on the CONUT score. Multivariable logistic regression analysis was used to evaluate the relationship between CONUT score groups and hospital death. Subgroup analyses were performed to assess the stability of the association across different populations. Restricted cubic spline (RCS) analysis was conducted to examine the potential non-linear relationship between CONUT score and hospital death.

resultsHospital death rates increased progressively across malnutrition groups: 8.13% in Mild, 16.14% in Moderate, and 23.27% in Severe groups (P < 0.001). After fully adjusting for confounding factors, compared with the Mild group, the risk of hospital mortality was significantly higher in the Moderate group (adjusted OR: 1.60, 95% CI: 1.07-2.38, P = 0.021) and Severe group (adjusted OR: 2.66, 95% CI: 1.73-4.07, P < 0.001). Subgroup analyses demonstrated consistent associations across different demographic and clinical characteristics (all P for interaction > 0.05). RCS analysis revealed a significant linear dose-response relationship between CONUT score and risk of hospital mortality (P for overall < 0.001, P for nonlinearity = 0.685). Each one-point increase in CONUT score was associated with a 15% higher adjusted odds of hospital mortality (adjusted OR 1.15, 95% CI 1.09-1.21). The fully adjusted model showed good discrimination (AUC 0.773, 95% CI 0.747-0.799) and excellent calibration (Hosmer-Lemeshow P = 0.390).

conclusionHigher CONUT scores were independently associated with increased risk of hospital mortality in sepsis patients. The CONUT score might serve as a valuable prognostic indicator for risk stratification in sepsis.

Indexed as

Hospital MortalityMalnutritionNutritional StatusSepsisAgedCritical IllnessFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsCONUT scoreHospital mortalityNutritional statusPrognosisSepsis

Identifiers

PMID42902191
PMCPMC13682032

What OpenQuestion holds

Textmetadata
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.