Evidence map›Paper›PMID 38469963›Full record

ArticleJournal of Korean medical science2024

Pre-Sepsis Length of Hospital Stay and Mortality: A Nationwide Multicenter Cohort Study.

Joong-Yub Kim, Hong Yeul Lee, Jinwoo Lee, Dong Kyu Oh, Su Yeon Lee, Mi Hyeon Park, Chae-Man Lim, Sang-Min Lee, Korean Sepsis Alliance (KSA) Investigators

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Journal of Korean medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Hospital Cost Components and Predictors inTropical medicine and infectious disease · 2026
    Article
  3. Validation of CRownLab Pneumoplex for the Detection ofInternational journal of microbiology · 2026
    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 at 3 institutions in 1 country.

Joong-Yub KimDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-8272-3178
Hong Yeul LeeDepartment of Critical Care Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-3638-8890
Jinwoo LeeDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0003-0958-106X
Dong Kyu OhDepartment of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-7511-9634
Su Yeon LeeDepartment of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-1993-7752
Mi Hyeon ParkDepartment of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-7710-0240
Chae-Man LimDepartment of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-5400-6588
Sang-Min LeeDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-1388-9318
Korean Sepsis Alliance (KSA) Investigators
Ulsan College · KRSeoul National University · KRSeoul National University Hospital · KR

Funding

Korea Disease Control and Prevention Agency 2019E280500Korea Disease Control and Prevention Agency 2020E280700Korea Disease Control and Prevention Agency 2021-10-026
6 · The paper itself

Abstract

backgroundProlonged length of hospital stay (LOS) is associated with an increased risk of hospital-acquired conditions and worse outcomes. We conducted a nationwide, multicenter, retrospective cohort study to determine whether prolonged hospitalization before developing sepsis has a negative impact on its prognosis.

methodsWe analyzed data from 19 tertiary referral or university-affiliated hospitals between September 2019 and December 2020. Adult patients with confirmed sepsis during hospitalization were included. In-hospital mortality was the primary outcome. The patients were divided into two groups according to their LOS before the diagnosis of sepsis: early- (< 5 days) and late-onset groups (≥ 5 days). Conditional multivariable logistic regression for propensity score matched-pair analysis was employed to assess the association between late-onset sepsis and the primary outcome.

resultsA total of 1,395 patients were included (median age, 68.0 years; women, 36.3%). The early- and late-onset sepsis groups comprised 668 (47.9%) and 727 (52.1%) patients. Propensity score-matched analysis showed an increased risk of in-hospital mortality in the late-onset group (adjusted odds ratio [aOR], 3.00; 95% confidence interval [CI], 1.69-5.34). The same trend was observed in the entire study population (aOR, 1.85; 95% CI, 1.37-2.50). When patients were divided into LOS quartile groups, an increasing trend of mortality risk was observed in the higher quartiles (

conclusionExtended LOS before developing sepsis is associated with higher in-hospital mortality. More careful management is required when sepsis occurs in patients hospitalized for ≥ 5 days.

Indexed as

HospitalizationSepsisAdultAgedFemaleHospital MortalityHumansLength of StayMalePrognosisRetrospective StudiesIn-Hospital MortalityLate-onset SepsisProlonged Hospitalization

Identifiers

PMID38469963
PMCPMC10927387
OpenAlexW4392113174

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.