Background: Some studies have suggested that the forced expiratory flow between 25 and 75% of vital capacity (FEF) can be used as an early marker of bronchial hyperresponsiveness (BHR) in asthma and allergic rhinitis (AR), but is highly variable. Here, we aimed to assess whether the FEF can be used to diagnose BHR in patients with asthma-like symptoms and AR.

Methods: PubMed, EMBASE, Web of Science, Wiley Online Library, Cochrane Library, SinoMed, CNKI, and Wanfang Data were searched to acquire eligible studies. Articles published before 30 Sep 2023 were included. Quality Assessment of Diagnostic Accuracy Studies 2 was used to evaluate the risk of bias and application concern of the included articles. Data were pooled using random-effects models. The univariable meta-regression and subgroup analyses were used to explore the sources of heterogeneity.

Results: Twenty-five studies were included, describing 12,310 patients with asthma-like symptoms and AR. In terms of the FEF, the pooled sensitivity and specificity were 0.56(95% CI 0.47-0.65) and 0.86 (95% CI 0.80-0.90), respectively. In addition, the pooled diagnostic odds ratio (DOR) was 8.00 (95% CI 6-10) and the area under the curve (AUC) was 0.80 (95% CI 0.76-0.83). Furthermore, we performed the univariable meta-regression and subgroup analyses, indicating that the disease types and ethnicity may be the sources of heterogeneity.

Conclusion: This meta-analysis showed that if BPT cannot be performed a value of FEF < 65% of predicted may suggest the presence of BHR in patients with suspected asthma and /or AR.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s00408-024-00759-2DOI Listing

Publication Analysis

Top Keywords

diagnostic accuracy
8
bronchial hyperresponsiveness
8
allergic rhinitis
8
patients asthma-like
8
asthma-like symptoms
8
univariable meta-regression
8
meta-regression subgroup
8
subgroup analyses
8
fef
4
accuracy fef
4

Similar Publications

Accuracy of Radiomics in the Identification of Extrathyroidal Extension and BRAF Mutations in Papillary Thyroid Carcinoma: A Systematic Review and Meta-analysis.

Acad Radiol

January 2025

Department of Radiology and Intervention, Hospital Pakar Kanak-Kanak (UKM Specialist Children's Hospital), Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, 56000, Kuala Lumpur, Malaysia (Y.L., F.Y.L., J.N.C., H.A.H., H.A.M.); Makmal Pemprosesan Imej Kefungsian (Functional Image Processing Laboratory), Department of Radiology, Universiti Kebangsaan Malaysia, Jalan Yaacob Latif, Bandar Tun Razak, Kuala Lumpur 56000, Malaysia (H.A.M.). Electronic address:

Rationale And Objectives: Extrathyroidal extension (ETE) and BRAF mutation in papillary thyroid cancer (PTC) increase mortality and recurrence risk. Preoperative identification presents considerable challenges. Although radiomics has emerged as a potential tool for identifying ETE and BRAF mutation, systematic evidence supporting its effectiveness remains insufficient.

View Article and Find Full Text PDF

Rationale And Objectives: Training Convolutional Neural Networks (CNN) requires large datasets with labeled data, which can be very labor-intensive to prepare. Radiology reports contain a lot of potentially useful information for such tasks. However, they are often unstructured and cannot be directly used for training.

View Article and Find Full Text PDF

Purpose: To compare voiding parameters in women with and without increased postvoid residual (PVR) volume, to correlate these parameters with PVR volume and PVR percentage, and to describe their ability to predict an increased PVR volume.

Methods: Retrospective cross-sectional study of urodynamics data prospectively acquired from consecutive symptomatic women over a 5-year period. Patients with spinal cord disorders and with abdominal straining during voiding (abdominal pressure ≥10 cm H2O over baseline at maximum flow rate [Qmax]) were excluded.

View Article and Find Full Text PDF

Predicting postoperative adhesive small bowel obstruction in infants under 3 months with intestinal malrotation: a random forest approach.

J Pediatr (Rio J)

January 2025

Department of General Surgery and Neonatal Surgery, Liangjiang Wing, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China. Electronic address:

Objective: This study aimed to develop a predictive model using a random forest algorithm to determine the likelihood of postoperative adhesive small bowel obstruction (ASBO) in infants under 3 months with intestinal malrotation.

Methods: A machine learning model was used to predict postoperative adhesive small bowel obstruction using comprehensive clinical data extracted from 107 patients with a follow-up of at least 24 months. The Boruta algorithm was used for selecting clinical features, and nested cross-validation tuned and selected hyper-parameters for the random forest model.

View Article and Find Full Text PDF

This video provides a step-by-step guide for performing the hybrid endoscopic thoracic discectomy using navigation and robotic arm for addressing high migrated calcified disc herniation. With the development of techniques, endoscopic spine surgery has emerged as a reliable treatment for thoracic myelopathy. This approach offers high-resolution, off-axis visualization of the surgical field.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!