Evidence map›Paper›PMID 37096423›Full record

ArticleRenal failure2023

The effects of timing onset and progression of AKI on the clinical outcomes in AKI patients with sepsis: a prospective multicenter cohort study.

Meiping Wang, Xia Wang, Bo Zhu, Wen Li, Qi Jiang, Yingting Zuo, Jing Wen, Yan He, Xiuming Xi, Li Jiang

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Renal failure, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Review
  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

10 authors at 1 institution in 1 country.

Meiping WangDepartment of Critical Care Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.
Xia WangDepartment of Critical Care Medicine, Fuxing Hospital, Capital Medical University, Beijing, China.
Bo ZhuDepartment of Critical Care Medicine, Fuxing Hospital, Capital Medical University, Beijing, China.
Wen LiDepartment of Critical Care Medicine, Fuxing Hospital, Capital Medical University, Beijing, China.
Qi JiangDepartment of Critical Care Medicine, Fuxing Hospital, Capital Medical University, Beijing, China.
Yingting ZuoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Jing WenDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Yan HeDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.
Xiuming XiDepartment of Critical Care Medicine, Fuxing Hospital, Capital Medical University, Beijing, China.
Li JiangDepartment of Critical Care Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-2647-0380
Capital Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLimited studies are available concerning on the earlier identification of AKI with sepsis. The aim of the study was to identify the risk factors of AKI early which depended on the timing onset and progression of AKI and investigate the effects of timing onset and progression of AKI on clinical outcomes.

methodsPatients who developed sepsis during their first 48-h admission to ICU were included. The primary outcome was major adverse kidney events (MAKE) consisted of all-cause mortality, RRT-dependence, or an inability to recover to 1.5 times of the baseline creatinine value up to 30 days. We determined MAKE and in-hospital mortality by multivariable logistic regression and explored the risk factors of early persistent-AKI. C statistics were used to evaluate model fit.

results58.7% sepsis patients developed AKI. According to the timing onset and progression of AKI, Early transient-AKI, early persistent-AKI, late transient-AKI, late persistent-AKI were identified. Clinical outcomes were quite different among subgroups. Early persistent-AKI had 3.0-fold (OR 3.04, 95% CI 1.61 - 4.62) risk of MAKE and 2.6-fold (OR 2.60, 95%CI 1.72 - 3.76) risk of in-hospital mortality increased compared with the late transients-AKI. Older age, underweight, obese, faster heart rate, lower MAP, platelet, hematocrit, pH and energy intake during the first 24 h on ICU admission could well predict the early persistent-AKI in patients with sepsis.

conclusionFour AKI subphenotypes were identified based on the timing onset and progression of AKI. Early persistent-AKI showed higher risk of major adverse kidney events and in-hospital mortality.

trial registrationThis study was registered in the Chinese Clinical Trials Registry (www.chictr.org/cn) under registration number ChiCTR-ECH-13003934.

Indexed as

Acute Kidney InjurySepsisHumansIntensive Care UnitsKidneyProspective StudiesRetrospective Studiesacute kidney injuryin-hospital mortalityintensive care unitmajor adverse kidney eventsSepsis

Identifiers

PMID37096423
PMCPMC10132224
OpenAlexW4366988136

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.