Evidence map›Paper›PMID 39342241›Full record

ArticleBMC pediatrics2024

Association of diaphragmatic dysfunction with duration of mechanical ventilation in patients in the pediatric intensive care unit: a prospective cohort study.

Yelin Yao, Xiaojing Guo, Yuxin Liu, Kai Lu, Weiming Chen, Huanhuan Yin, Guoping Lu, SuJuan Wang, Jinhao Tao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC pediatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Observational
  2. 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.

Yelin Yao *Department of Rehabilitation, Children's Hospital of Fudan University, Shanghai, China.
Xiaojing Guo *NHC Key Laboratory of Neonatal Diseases, Fudan University, Shanghai, China.
Yuxin LiuPediatric Emergency Critical Care Center, Children's Hospital of Fudan University, Shanghai, China.
Kai LuDepartment of Rehabilitation, Children's Hospital of Fudan University, Shanghai, China.
Weiming ChenPediatric Emergency Critical Care Center, Children's Hospital of Fudan University, Shanghai, China.
Huanhuan YinDepartment of Rehabilitation, Children's Hospital of Fudan University, Shanghai, China.
Guoping LuPediatric Emergency Critical Care Center, Children's Hospital of Fudan University, Shanghai, China.
SuJuan WangDepartment of Rehabilitation, Children's Hospital of Fudan University, Shanghai, China. sujuanw@163.com.
Jinhao TaoPediatric Emergency Critical Care Center, Children's Hospital of Fudan University, Shanghai, China. taojinhao2006@163.com.

Funding

National Key R&D Program of China 2021YFC2701800, 2021YFC2701805Shanghai Hospital Development Center-Promote Clinical Skills and Clinical Innovation Capabilities of Municipal Hospitals SHDC2020CR4092Shanghai Municipal Health System major supports discipline projects 2023ZDFC0103
6 · The paper itself

Abstract

backgroundMechanical ventilation (MV) can cause diaphragmatic injury and ventilator induced diaphragmatic dysfunction (VIDD). Diaphragm ultrasonography (DU) is increasingly used to assess diaphragmatic anatomy, function and pathology of patients receiving MV in the pediatric intensive care unit (PICU). We report the poor contractile ability of diaphragm during ventilation of critically ill patients in our PICU and the association to prolonged length of MV and PICU stay.

methodsPatients who received MV within 24 h of admission to the PICU, expected to undergo continuous MV for more than 48 h and succeeded to extubate were included in the study. DU monitoring was performed daily after the initiation of MV until extubation. Diaphragm thickening fraction (DTF) measured by DU was used as an indicator of diaphragmatic contractile activity. Patients with bilateral DTF = 0% during DU assessment were allocated into the severe VIDD group (n = 26) and the rest were into non-severe VIDD group (n = 29). The association of severe VIDD with individual length of MV, hospitalization and PICU stay were analyzed.

resultsWith daily DU assessment, severe VIDD occurred on 2.9 ± 1.2 days after the initiation of MV, and lasted for 1.9 ± 1.7 days. Values of DTF of all patients recovered to > 10% before extubation. The severe VIDD group had a significantly longer duration (days) of MV [12.0 (8.0-19.3) vs. 5.0 (3.5-7.5), p < 0.001] and PICU stay (days) [30.5 (14.9-44.5) vs. 13.0 (7.0-24.5), p < 0.001]. The occurrence of severe VIDD, first day of severe VIDD and length of severe VIDD were significantly positively associated with the duration of MV and PICU stay. The occurrence of severe VIDD on the second and third days after initiation of MV significantly associated to longer PICU stay (days) [43.0 (9.0-70.0) vs. 13.0 (3.0-40.0), p = 0.009; 36.0 (17.0-208.0) vs. 13.0 (3.0-40.0), p = 0.005, respectively], and the length of MV (days) was significantly longer in those with severe VIDD on the third day after initiation of MV [16.5 (7.0-29.0) vs. 5.0 (2.0-22.0), p = 0.003].

conclusionsDaily monitoring of diaphragmatic function with bedside ultrasonography after initiation of MV is necessary in critically ill patients in PICU and the influences and risk factors of severe VIDD need to be further studied. (355 words).

Indexed as

DiaphragmIntensive Care Units, PediatricLength of StayRespiration, ArtificialUltrasonographyChildChild, PreschoolCritical IllnessFemaleHumansInfantMaleProspective StudiesTime FactorsDiaphragmatic ultrasoundDiaphragm thickening fractionPediatric critical careVentilator induced diaphragmatic dysfunction

Identifiers

PMID39342241
PMCPMC11438377

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.