Evidence map›Paper›PMID 39702030›Full record

ArticleBMC infectious diseases2024

Association between hemoglobin and in-hospital mortality in critically ill patients with sepsis: evidence from two large databases.

Shuyue Sheng, Andong Li, Changjing Zhang, Xiaobin Liu, Wei Zhou, Tuo Shen, Qimin Ma, Shaolin Ma, Feng Zhu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  4. Article
  5. Observational
  6. Article
  7. Article
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  9. Observational
  10. 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

9 authors.

Shuyue Sheng *Department of Critical Care Medicine, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China.
Andong Li *School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, 214122, China.
Changjing Zhang *Department of Critical Care Medicine, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China.
Xiaobin LiuDepartment of Critical Care Medicine, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China.
Wei ZhouDepartment of Critical Care Medicine, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China.
Tuo ShenDepartment of Critical Care Medicine, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China.
Qimin MaDepartment of Critical Care Medicine, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China.
Shaolin MaDepartment of Critical Care Medicine, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China. mslin@sohu.com.
Feng ZhuDepartment of Critical Care Medicine, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China. alexzhujunchi@hotmail.com.

Funding

National Key Research and Development Program of China Stem Cell and Translational Research 2019YFA0110601Shanghai Municipal Health Bureau 2023ZDFC0104
6 · The paper itself

Abstract

backgroundThe relationship between baseline hemoglobin levels and in-hospital mortality in septic patients remains unclear. This study aimed to clarify this association in critically ill patients with sepsis.

methodsPatients with sepsis were retrospectively identified from the Medical Information Mart for Intensive Care-IV (MIMIC-IV 2.2) and eICU Collaborative Research Database (eICU-CRD). Multivariate logistic regression analysis and restricted cubic spline regression were used to investigate the association between hemoglobin and the risk of in-hospital mortality. Additionally, a two-part linear regression model was used to determine threshold effects. Stratified analyses were also performed.

resultsA total of 21,946 patients from MIMIC-IV and 15,495 patients from eICU-CRD were included in the study. In-hospital mortality was 14.95% in MIMIC-IV and 17.40% in eICU-CRD. Multivariate logistic regression showed that hemoglobin was significantly and nonlinearly associated with the risk of in-hospital mortality after adjusting for other covariates. Furthermore, we found a nonlinear association between hemoglobin and in-hospital mortality, with mortality plateauing at 10.2 g/dL. The risk of mortality decreased with increasing hemoglobin levels below 10.2 g/dL but increased when hemoglobin levels exceeded 10.2 g/dL. These findings were validated in the eICU-CRD dataset.

conclusionsA nonlinear correlation between hemoglobin levels and in-hospital mortality was observed in patients with sepsis, with a threshold of 10.2 g/DL. These findings suggested that hemoglobin levels below or above the threshold may be associated with worse outcomes, warranting further investigation in prospective studies.

Indexed as

Critical IllnessHemoglobinsHospital MortalitySepsisAgedAged, 80 and overDatabases, FactualFemaleHumansIntensive Care UnitsLinear ModelsLogistic ModelsMaleMiddle AgedMultivariate AnalysisPrognosisHemoglobinsAnemiaHemoglobinIn-hospital mortalityIntensive care unitSepsis

Identifiers

PMID39702030
PMCPMC11660889

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.