Purpose: Predicting the clinical course of COVID-19 pneumonia is of high clinical importance and may change treatment strategies. This study aimed to compare the semi-quantitative CT score (radiological score), mCHADS-VASc score (clinical score), and R-mCHADS-VASc score (clinical and radiological score) to predict the risk of ICU admission and mortality in COVID 19 pneumonia.
Methods: This study retrospectively evaluated 901 COVID-19 pneumonia cases with positive PCR results. The mCHADS-VASc score was calculated based on clinical risk factors. CT images were evaluated, and the semi-quantitative CT scores were obtained. A new scoring method (R-mCHADS-VASc score) was developed by combining these scores. The performance of the mCHADS-VASc score, semi-quantitative CT score, and a combination of these scores (R-mCHADS-VASc score) was evaluated using ROC analysis.
Results: The ROC curves of the semi-quantitative CT, mCHADS-VASc, and R-mCHADS-VASc scores were examined. The semi-quantitative CT, mCHADS-VASc, and R-mCHADS-VASc scores were significant in predicting intensive care unit (ICU) admission and mortality (p < 0.001). The R-mCHADS-VASc score performed best in predicting a severe clinical course, and the cut-off value of 8 for the R-mCHADS-VASc score had 83.9% sensitivity and 91.6% specificity for mortality.
Conclusions: The R-mCHADS-VASc score includes both clinical and radiological parameters. It is a feasible scoring method for predicting a severe clinical course at an early stage with high sensitivity and specificity values. However, prospective studies with larger sample sizes are warranted.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8900877 | PMC |
| http://dx.doi.org/10.1016/j.ejrad.2022.110238 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Graph contrastive learning of subcellular-resolution spatial transcriptomics improves cell type annotation and reveals critical molecular pathways.
Brief Bioinform
November 2024
School of Artificial Intelligence, Jilin University, Qianjin Street 2699, 130010 Changchun, China.
Imaging-based spatial transcriptomics (iST), such as MERFISH, CosMx SMI, and Xenium, quantify gene expression level across cells in space, but more importantly, they directly reveal the subcellular distribution of RNA transcripts at the single-molecule resolution. The subcellular localization of RNA molecules plays a crucial role in the compartmentalization-dependent regulation of genes within individual cells. Understanding the intracellular spatial distribution of RNA for a particular cell type thus not only improves the characterization of cell identity but also is of paramount importance in elucidating unique subcellular regulatory mechanisms specific to the cell type.
View Article and Find Full Text PDFInvestigating Smartphone-Based Sensing Features for Depression Severity Prediction: Observation Study.
J Med Internet Res
January 2025
Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.
Background: Unobtrusively collected objective sensor data from everyday devices like smartphones provide a novel paradigm to infer mental health symptoms. This process, called smart sensing, allows a fine-grained assessment of various features (eg, time spent at home based on the GPS sensor). Based on its prevalence and impact, depression is a promising target for smart sensing.
View Article and Find Full Text PDFUsing Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study.
J Med Internet Res
January 2025
Department of Industrial and Systems Engineering, The University of Florida, GAINESVILLE, FL, United States.
Background: The implementation of large language models (LLMs), such as BART (Bidirectional and Auto-Regressive Transformers) and GPT-4, has revolutionized the extraction of insights from unstructured text. These advancements have expanded into health care, allowing analysis of social media for public health insights. However, the detection of drug discontinuation events (DDEs) remains underexplored.
View Article and Find Full Text PDFTransportation Insecurity, Social Support, and Adherence to Cancer Screening.
JAMA Netw Open
January 2025
S-SPIRE Center, Department of Surgery, Stanford University School of Medicine, Stanford, California.
Importance: Transportation insecurity and lack of social support are 2 understudied social determinants of health that contribute to excess morbidity, mortality, and acute health care utilization. However, whether and how these social determinants of health are associated with cancer screening has not been determined and has implications for preventive care.
Objective: To determine whether transportation insecurity or social support are associated with screening adherence for colorectal, breast, and cervical cancer.
Origin and In-Office Treatment of Retrograde Cricopharyngeus Dysfunction.
JAMA Otolaryngol Head Neck Surg
January 2025
Department of Otolaryngology-Head and Neck Surgery, Foch Hospital, School of Medicine, Paris Saclay University, Paris, France.
Importance: Retrograde cricopharyngeus dysfunction (R-CPD) is an emerging disorder associated with disabling symptoms. The origin of R-CPD remains unknown.
Objective: To investigate the development of symptoms, diagnosis approach, and therapeutic outcomes of R-CPD in patients treated with in-office botulinum toxin injection (BTI) into the cricopharyngeus.
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!