Objective: To develop and validate a CT-based nomogram to predict the occurrence of loculated pneumothorax due to hook wire placement.
Methods: Patients ( = 177) were divided into pneumothorax ( = 72) and non-pneumothorax ( = 105) groups. Multivariable logistic regression analysis was applied to build a clinical prediction model using significant predictors identified by univariate analysis of imaging features and clinical factors. Receiver operating characteristic (ROC) was applied to evaluate the discrimination of the nomogram, which was calibrated using calibration curve.
Results: Based on the results of multivariable regression analysis, transfissure approach [odds ratio (OR): 757.94; 95% confidence interval CI (21.20-27099.30) < 0.0001], transemphysema [OR: 116.73; 95% CI (12.34-1104.04) < 0.0001], localization of multiple nodules [OR: 8.04; 95% CI (2.09-30.89) = 0.002], and depth of nodule [OR: 0.77; 95% CI (0.71-0.85) < 0.0001] were independent risk factors for pneumothorax and were included in the predictive model ( < 0.05). The area under the ROC curve value for the nomogram was 0.95 [95% CI (0.92-0.98)] and the calibration curve indicated good consistency between risk predicted using the model and actual risk.
Conclusion: A CT-based nomogram combining imaging features and clinical factors can predict the probability of pneumothorax before localization of ground-glass nodules. The nomogram is a decision-making tool to prevent pneumothorax and determine whether to proceed with further treatment.
Advances In Knowledge: A nomogram composed of transfissure, transemphysema, multiple nodule localization, and depth of nodule has been developed to predict the probability of pneumothorax before localization of GGNs.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774691 | PMC |
http://dx.doi.org/10.1259/bjr.20200633 | DOI Listing |
Front Public Health
January 2025
Department of Intervention, Affiliated Hospital 2 of Nantong University, Nantong, China.
Objective: The aim of this study is to develop and validate a prediction model for fall risk factors in hospitalized older adults with osteoporosis.
Methods: A total of 615 older adults with osteoporosis hospitalized at a tertiary (grade 3A) hospital in Nantong City, Jiangsu Province, China, between September 2022 and August 2023 were selected for the study using convenience sampling. Fall risk factors were identified using univariate and logistic regression analyses, and a predictive risk model was constructed and visualized through a nomogram.
Front Public Health
January 2025
Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China.
Background: This study aims to identify risk factors associated with tuberculosis-specific mortality (TSM) in older adult patients with pulmonary tuberculosis (TB) and to develop a competing risk nomogram for TSM prediction.
Methods: We conducted a retrospective cohort study and randomly selected 528 older adult pulmonary TB patients hospitalized in designated hospitals in Henan Province between January 2015 and December 2020. The cumulative incidence function (CIF) was calculated for both TSM and non-tuberculosis-specific mortality (non-TSM).
Nat Sci Sleep
January 2025
Sleep Center, Department of Geriatric Respiratory, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People's Republic of China.
Purpose: Approximately 30% of patients with sleep-disordered breathing (SDB) present with masked hypertension, primarily characterized by elevated nighttime blood pressure. This study aimed to develop a hypertension prediction model tailored for primary care physicians, utilizing simple, readily available predictors derived from type IV sleep monitoring devices.
Patients And Methods: Participants were recruited from communities in Guangdong Province, China, between April and May 2021.
J Multidiscip Healthc
January 2025
Department of Nuclear Medicine, The First People's Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, Kunming, Yunnan, 650032, People's Republic of China.
Objective: This study aimed to explore the value of a radiomic nomogram based on contrast-enhanced computed tomography (CECT) for differentiating benign and malignant solid-containing renal masses.
Materials And Methods: A total of 122 patients with pathologically confirmed benign (n=47) or malignant (n=75) solid-containing renal masses were enrolled in this study. Radiomic features were extracted from the arterial, venous and delayed phases and further analysed by dimensionality reduction and selection.
Ann Med
December 2025
Endoscopic Diagnosis and Treatment Center, Gansu Provincial Hospital, Lanzhou, Gansu, China.
Background: Liver cirrhosis complicated by portal vein thrombosis (PVT) is a fatal complication with no specific manifestations but often misdiagnosed, it crucially increases the mortality worldwide. This study aimed to identify risk factors and establish a predictive model for diagnosis of venous thrombosis clinical by routine blood tests and endoscopic characteristics.
Methods: Patients from Gansu Provincial Hospital from October 2019 to December 2023 were enrolled.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!