Purpose: This study evaluated the validity of the ICD-10 diagnostic codes for aortic dissections (ADs) in the Danish National Patient Registry (DNPR) based upon positive predictive values (PPV).
Patients And Methods: Cases registered in the DNPR with the unspecific AD diagnostic code DI710 (unspecified AD) from 1996 to 2016, and the specific AD diagnostic codes DI710A (AD Type A) and DI710B (AD Type B) from 2006 to 2016, were included. Available medical records from all registered cases underwent review. Confirmed cases of AD served as "gold standard" when reporting PPV. PPV estimates were stratified by regional differences, date, age at time of diagnosis, and sex.
Results: A total of 5018 cases were identified in the DNPR. After merging of data and retrieval of medical records, 3767 cases were eligible for validation. Of these, 2677 cases were verified as AD type A (59.7%), AD type B (38.8%), and unspecified type of AD (1.5%). The average age at diagnosis was 65.1 ±13.0 years (67.3% males). The overall PPV for having an AD when one of the three diagnostic codes were registered from 1996 to 2016 was 71.1% (95% confidence interval (CI): 69.6-72.5) and increased significantly over time. From 2006 to 2016, the PPV for the specific AD diagnostic codes was 89.5% (95% CI: 87.4-91.3), whilst the PPV for the unspecific diagnostic code was 63.5% (95% CI: 61.1-65.9).
Conclusion: We found the overall PPV for the pooled AD diagnostic codes in the DNPR acceptable. However, the two specific AD diagnostic codes presented remarkably higher PPV compared to the unspecific diagnostic code.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786356 | PMC |
| http://dx.doi.org/10.2147/CLEP.S341806 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Multiomic characterization, immunological and prognostic potential of SMAD3 in pan-cancer and validation in LIHC.
Sci Rep
January 2025
Jiangxi Key Laboratory of Molecular Medicine, Jiangxi Medical College, The Second Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, 330006, China.
SMAD3, a protein-coding gene, assumes a pivotal role within the transforming growth factor-beta (TGF-β) signaling pathway. Notably, aberrant SMAD3 expression has been linked to various malignancies. Nevertheless, an extensive examination of the comprehensive pan-cancer impact on SMAD3's diagnostic, prognostic, and immunological predictive utility has yet to be undertaken.
View Article and Find Full Text PDFConstruction of exosome non-coding RNA feature for non-invasive, early detection of gastric cancer patients by machine learning: a multi-cohort study.
Gut
January 2025
State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, People's Republic of China
Background And Objective: Gastric cancer (GC) remains a prevalent and preventable disease, yet accurate early diagnostic methods are lacking. Exosome non-coding RNAs (ncRNAs), a type of liquid biopsy, have emerged as promising diagnostic biomarkers for various tumours. This study aimed to identify a serum exosome ncRNA feature for enhancing GC diagnosis.
View Article and Find Full Text PDFEpigenetics in autosomal dominant polycystic kidney disease.
Biochim Biophys Acta Mol Basis Dis
January 2025
Department of Nephrology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China; Department of Medicine, Rhode Island Hospital and Alpert Medical School, Brown University, Providence, RI, USA. Electronic address:
Autosomal dominant polycystic kidney disease (ADPKD) is the fourth leading cause of end-stage renal disease, contributing substantially to patient morbidity, mortality, and healthcare system strain. Emerging research highlights a pivotal role of epigenetics in ADPKD's pathophysiology, where mechanisms like DNA methylation, histone modifications, and non-coding RNA regulation significantly impact disease onset and progression. These epigenetic factors influence gene expression and regulate key processes involved in cyst formation and expansion, fibrosis, and inflammatory infiltration, thus accelerating ADPKD progression.
View Article and Find Full Text PDFAn ensemble learning method combined with multiple feature representation strategies to predict lncRNA subcellular localizations.
Comput Biol Chem
January 2025
School of Mechanical, Electrical and Information Engineering, Shandong University at Weihai, 264209, China. Electronic address:
Long non-coding RNAs (lncRNAs) are strongly associated with cellular physiological mechanisms and implicated in the numerous diseases. By exploring the subcellular localizations of lncRNAs, we can not only gain crucial insights into the molecular mechanisms of lncRNA-related biological processes but also make valuable contributions towards the diagnosis, prevention, and treatment of various human diseases. However, conventional experimental techniques tend to be laborious and time-intensive.
View Article and Find Full Text PDFImproving Social Media-Based Support Groups for the Rare Disease Community: Interview Study With Patients and Parents of Children with Rare and Undiagnosed Diseases.
JMIR Hum Factors
December 2024
Center for Bioethics, Indiana University School of Medicine, Indianapolis, IN, United States.
Background: The rarity that is inherent in rare disease (RD) often means that patients and parents of children with RDs feel uniquely isolated and therefore are unprepared or unsupported in their care. To overcome this isolation, many within the RD community turn to the internet, and social media groups in particular, to gather useful information about their RDs. While previous research has shown that social media support groups are helpful for those affected by RDs, it is unclear what these groups are particularly useful or helpful for patients and parents of children with RDs.
View Article and Find Full Text PDFWant 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!