Objective: Gastrointestinal (GI) involvement is common in patients with systemic sclerosis (SSc; scleroderma). The Patient-Reported Outcomes Measurement Information System (PROMIS) GI symptom item bank captures upper and lower GI symptoms (reflux, disrupted swallowing, nausea/vomiting, belly pain, gas/bloating/flatulence, diarrhea, constipation, and fecal incontinence). The objective of this study was to evaluate the construct validity of the PROMIS GI bank in SSc.
Methods: A total of 167 patients with SSc were administered the PROMIS GI bank and the University of California, Los Angeles, Scleroderma Clinical Trials Consortium Gastrointestinal Scale (GIT 2.0) instrument. GIT 2.0 is a multi-item instrument that measures SSc-associated GI symptoms. Product-moment correlations and a multitrait-multimethod analysis of the PROMIS GI scales with the GIT 2.0 symptom scales were used to evaluate convergent and discriminant validity.
Results: Patients with SSc GI involvement had PROMIS GI scale scores 0.2-0.7 SD worse than the US general population. Correlations among scales measuring the same domains for the PROMIS GI and GIT 2.0 measures were large, ranging from 0.61 to 0.87 (average r = 0.77). The average correlation between different symptom scales was 0.22, supporting discriminant validity.
Conclusion: This study provides support for the construct validity of the PROMIS GI scales in SSc. Future research is needed to assess the responsiveness to change of these scales in patients with SSc.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4182150 | PMC |
http://dx.doi.org/10.1002/acr.22337 | DOI Listing |
Discov Oncol
January 2025
Department of General Surgery, The Second Affiliated Hospital of the Air Force Medical University, Xi'an, 710038, China.
A common digestive system cancer with a dismal prognosis and a high death rate globally is breast cancer (BRCA). BRCA recurrence, metastasis, and medication resistance are all significantly impacted by cancer stem cells (CSCs). However, the relationship between CSCs and the tumor microenvironment in BRCA individuals remains unknown, and this information is critically needed.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Gastroenterology, Jiangxi Provincial Key Laboratory of Digestive Diseases, Jiangxi Clinical Research Center for Gastroenterology, Digestive Disease Hospital, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China.
Fever is a complication after colorectal endoscopic submucosal dissection (ESD). The objective of this study was to explore the incidence and risk factors of fever after colorectal ESD and establish a predictive nomogram model. This retrospective analysis encompassed patients with colorectal lesions who underwent ESD between June 2008 and December 2021 in our center.
View Article and Find Full Text PDFBMC Pediatr
January 2025
Department of Pediatrics, Qilu Hospital, Shandong University, No.107, West Culture Road, Lixia District, Jinan City, Shandong Province, 250000, China.
Background: Purulent meningitis (PM) is a commonly encountered infectious condition in newborns, which unfortunately can result in infant mortality. Newborns with PM often present nonspecific symptoms. The success of lumbar puncture, an invasive test, relies on the operator's expertise.
View Article and Find Full Text PDFBMJ Open Gastroenterol
January 2025
Department of Gastroenterology, Hepatology and Transplant Medicine, University of Duisburg-Essen, Essen, Germany
Objective: Secondary sclerosing cholangitis (SSC) represents a disease with a poor prognosis increasingly diagnosed in clinical settings. Notably, SSC in critically ill patients (SSC-CIP) is the most frequent cause. Variables associated with worse prognosis remain unclear.
View Article and Find Full Text PDFJ Biomed Inform
January 2025
Harvard Medical School, Boston, MA, USA; VA Boston Healthcare System, Boston, MA, USA; Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address:
Motivation: The increasing availability of electronic health record (EHR) systems has created enormous potential for translational research. Recent developments in representation learning techniques have led to effective large-scale representations of EHR concepts along with knowledge graphs that empower downstream EHR studies. However, most existing methods require training with patient-level data, limiting their abilities to expand the training with multi-institutional EHR data.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!