Evidence map›Paper›PMID 40297062›Full record

ArticleTherapeutics and clinical risk management2025

Association of Diaphragmatic Mobility and Thickening Fraction with Postoperative Pulmonary Complications in Patients Undergoing Thoracic Surgery and Their Application in Prediction.

Abudushalamu Aisiaiti, Aiwuzaili Ajiaikebaier, Aini Maimaitiming, Qiang Geng, Bichen He, Jinhui Sun, Bing Zhang

Abstract read
In one paragraph

Article in Therapeutics and clinical risk management, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Abudushalamu Aisiaiti *Center for Anesthesia and Perioperative Medicine, Xinjiang Medical University Affiliated Tumor Hospital, Urumqi, 830011, People's Republic of China.
Aiwuzaili Ajiaikebaier *Center for Anesthesia and Perioperative Medicine, Xinjiang Medical University Affiliated Tumor Hospital, Urumqi, 830011, People's Republic of China.
Aini MaimaitimingCenter for Anesthesia and Perioperative Medicine, Xinjiang Medical University Affiliated Tumor Hospital, Urumqi, 830011, People's Republic of China.
Qiang GengCenter for Anesthesia and Perioperative Medicine, Xinjiang Medical University Affiliated Tumor Hospital, Urumqi, 830011, People's Republic of China.
Bichen HeCenter for Anesthesia and Perioperative Medicine, Xinjiang Medical University Affiliated Tumor Hospital, Urumqi, 830011, People's Republic of China.
Jinhui SunCenter for Anesthesia and Perioperative Medicine, Xinjiang Medical University Affiliated Tumor Hospital, Urumqi, 830011, People's Republic of China.
Bing ZhangCenter for Anesthesia and Perioperative Medicine, Xinjiang Medical University Affiliated Tumor Hospital, Urumqi, 830011, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To investigate the association of diaphragmatic mobility and thickening fraction with postoperative pulmonary complications (PPCs) in patients undergoing thoracic surgery and evaluate their values in predicting PPCs. Patients and Methods: One hundred and nine consecutive patients undergoing thoracic surgery were prospectively enrolled. All patients underwent ultrasound measurements to obtain diaphragmatic mobility and thickening fraction. PPCs were systematically monitored and recorded from postoperative day 1 to 7. The binary logistic regression model was used to perform multivariate analysis, and the receiver operating characteristic (ROC) curve was used to evaluate predictive values. Results: PPCs occurred in 46 patients (42.2%). Multivariate analysis identified age, smoking, surgical sites, and mean diaphragmatic mobility and thickening fraction of operated side and nonoperated side as independent risk factors for PPCs. ROC curves revealed that the AUC of mean diaphragmatic mobility and thickening fraction for predicting PPCs in patients undergoing thoracic surgery was 0.722 [standard error ( Conclusion: Both diaphragmatic mobility and thickening fraction showed independent associations with PPCs following thoracic surgery, demonstrating moderate predictive values. The predictive models integrating age, smoking, surgical sites and diaphragmatic mobility or thickening fraction yielded high predictive values, suggesting significant clinical utility for risk stratification. Diaphragmatic mobility and thickening fraction offer a bedside, noninvasive, and cost-effective alternative for perioperative PPC prediction, particularly in resource-limited settings.

Indexed as

diaphragmatic mobilitydiaphragmatic thickening fractionpostoperative pulmonary complicationspredictionthoracic surgery

Identifiers

PMID40297062
PMCPMC12035405

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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.