ArticleFrontiers in medicine2026
Construction and validation of a risk prediction model for early ventilator-induced diaphragm dysfunction in mechanically ventilated patients.
Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Mechanical ventilation is a core life-support technique in intensive care units (ICUs), but it can easily induce ventilator-induced diaphragm dysfunction (VIDD) in the early stage of mechanical ventilation (within 24 h). VIDD is defined as new-onset diaphragm dysfunction caused by mechanical ventilation, and diaphragm ultrasound is the gold standard for its diagnosis. This study aimed to explore the risk factors of early VIDD in mechanically ventilated patients and construct a temporally validated risk prediction model using clinical baseline indicators. Methods: A prospective study was conducted on 470 mechanically ventilated patients who were admitted to the ICU of Shenzhen Nanshan People's Hospital from May 2024 to May 2025. Patients were divided into a modeling group ( Results: Among 328 patients in the modeling group, 160 developed VIDD, with an incidence rate of 48.78%. Independent risk factors for VIDD included complicated sepsis, controlled mechanical ventilation mode, Richmond agitation-sedation scale (RASS) score ≤ - 4, acute physiology and chronic health evaluation II (APACHE II) score >20, and complicated intra-abdominal hypertension (IAP ≥ 16 mmHg) (all Conclusion: The nomogram model constructed based on the five risk factors exhibited favorable efficacy for predicting early VIDD. Therefore, the model can be applied as a convenient quantitative tool for the early identification of high-risk patients in clinical practice.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.