Evidence map›Paper›PMID 39659367›Full record

ArticleFrontiers in pediatrics2024

Clinical characteristics and early identification of augmented renal clearance in PICU patients with severe sepsis associated with MRSA infection.

Haonan Wang, Jiaqing Li, Xian Li, Han Li, Yinglang He, Rui Tan, Xuejian Mei, Haoyu Zha, Mingxing Fan, Shuangshuang Peng and 6 more

Abstract read
In one paragraph

Article in Frontiers in pediatrics, 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
–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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Augmented renal clearance in neurocritical patients: An epidemiological investigation and risk-factor analysis.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    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

16 authors.

Haonan Wang *Department of Emergency and Pediatric Intensive Care Unit, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Jiaqing Li *Department of Anesthesiology, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Xian Li *Department of Emergency and Pediatric Intensive Care Unit, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Han LiDepartment of Emergency and Pediatric Intensive Care Unit, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Yinglang HeDepartment of Emergency and Pediatric Intensive Care Unit, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Rui TanDepartment of Emergency and Pediatric Intensive Care Unit, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Xuejian MeiDepartment of Emergency and Pediatric Intensive Care Unit, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Haoyu ZhaInstitution of Pediatrics, Nanjing Medical University, Nanjing, Jiangsu, China.
Mingxing FanDepartment of Emergency and Pediatric Intensive Care Unit, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Shuangshuang PengDepartment of Emergency and Pediatric Intensive Care Unit, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Nan HouDepartment of Emergency and Pediatric Intensive Care Unit, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Zhe LiDepartment of Emergency and Pediatric Intensive Care Unit, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Yue WangDepartment of Emergency and Pediatric Intensive Care Unit, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Chen JiSchool of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
Yao LiuDepartment of Pharmacy, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Hongjun MiaoDepartment of Emergency and Pediatric Intensive Care Unit, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To investigate the epidemiological characteristics of Augmented Renal Clearance (ARC) in severe sepsis children with MRSA infection and find risk factors to establish a model predicting ARC onset in PICU. Design: Retrospective study, in which ARC was defined by estimated glomerular filtration rate (eGFR) measured by the modified Schwartz formula above 130 ml/min/1.73 m Setting: One China PICU. Patients: Severe sepsis children with MRSA infection admitted to PICU from May 2017 to June 2022 at Children's Hospital of Nanjing Medical University. Interventions: None. Measurements and main results: 125 of 167 (74.9%) patients with severe sepsis with MRSA infection have occurred ARC during the hospitalization of PICU, of which 44% have an absolute decrease in vancomycin trough level (VTL), patients with ARC have a longer length of stay in both hospital and PICU, lower VTL and require longer anti-infective treatment. 20 different models were established for the early recognition of ARC. Among them, the best performer had an AUC of 0.746 and a high application prospect. Conclusion: ARC is a phenomenon significantly underestimated in pediatric patients with severe sepsis associated with MRSA infection, which can affect 74.9% of these patients and affects the process of anti-infection treatment and clinical outcomes. To achieve early prediction only by specific risk factors is unreliable, a model based on Multivariate Logistic Regression in this study was chosen to be used clinically.

Indexed as

augmented renal clearanceMRSAprediction modelsevere sepsisvancomycin

Identifiers

PMID39659367
PMCPMC11629473

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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.