Objective: To describe the use of prescription drugs and their association with patient characteristics in patients with multiple functional somatic syndromes (FSS) focusing on drugs generally recommended and not recommended in FSS treatment.
Method: Using data from a national prescription registry, we describe the drug use during a two-year period for 239 trial participants. Using regression models, we analyse the associations of patient characteristics with the patterns of use of antidepressants, anticonvulsants, opioids and sedatives.
Results: The use of prescription drugs was highly heterogeneous. Antidepressants were used at least temporarily by 34% (88/239), anticonvulsants by 7% (16/239), opioids by 26% (61/239) and sedatives by 20% (47/239) of the patients. Severe impairment due to multiple FSS was associated with use of opioids or sedatives (OR 6.49 (95% CI 2.68-15.68; p < 0.001)) but also with use of antidepressants or anticonvulsants (OR 3.42 (95% CI 1.35-8.65; p = 0.009)). Poor self-reported physical health, additional physical comorbidities and low socioeconomic status were associated with use of opioids or sedatives only.
Conclusion: Antidepressants and anticonvulsants were modestly used. Opioids and sedatives were especially used by the severely affected patients. Balancing treatment expectations and enhancing patients' understanding of FSS may direct treatments towards more generally recommended drugs.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.genhosppsych.2018.02.001 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Evaluating the impact of modeling choices on the performance of integrated genetic and clinical models.
Genet Med
December 2024
Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN; Center for Digital Genomic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN. Electronic address:
Purpose: The value of genetic information for improving the performance of clinical risk prediction models has yielded variable conclusions. Many methodological decisions have the potential to contribute to differential results. We performed multiple modeling experiments integrating clinical and demographic data from electronic health records (EHR) with genetic data to understand which decisions may affect performance.
View Article and Find Full Text PDFExploring potential multiple molecular biomarkers that predict treatment response in patients with lupus nephritis.
Sci Rep
December 2024
Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, 222-1 Wangsimni-ro, Seongdong-Gu, Seoul, 04763, Korea.
Limited knowledge exists regarding biomarkers that predict treatment response in Lupus nephritis (LN). We aimed to identify potential molecular biomarkers to predict treatment response in patients with LN. We enrolled 66 patients with active LN who underwent renal biopsy upon enrollment.
View Article and Find Full Text PDFIdentification of the shared gene signatures in retinoblastoma and osteosarcoma by machine learning.
Sci Rep
December 2024
Department of Orthopaedics, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China.
Osteosarcoma (OS) is the most prevalent secondary sarcoma associated with retinoblastoma (RB). However, the molecular mechanisms driving the interactions between these two diseases remain incompletely understood. This study aims to explore the transcriptomic commonalities and molecular pathways shared by RB and OS, and to identify biomarkers that predict OS prognosis effectively.
View Article and Find Full Text PDFThe comparison of the risk of neurological deterioration and clinical outcomes in different atherosclerotic stroke patterns.
Sci Rep
December 2024
Neurology Department of Affiliated Hospital of Jiangsu University, No. 438 Jiefang Road, Zhenjiang, Jiangsu, China.
This study aims to compare the incidences of neurological deterioration (ND) and poor outcome (a modified Ranking scale > 2 points at discharge) among patients with different atherosclerotic stroke patterns. A total of 688 participants were categorized into 4 groups according to atherosclerotic stroke pattern: multiple small infarcts (MSI), single subcortical infarction (SSI), borderzone infarct (BZI) and large infarct groups. Among the 4 groups, MSI group had the lowest incidences of ND and poor outcome (13.
View Article and Find Full Text PDFUtility of a novel scoring system for difficulty of pure laparoscopic hepatectomy for intrahepatic cholangiocarcinoma.
Sci Rep
December 2024
Department of General Surgery, Cancer center, Division of Hepatobiliary and Pancreatic Surgery, Affiliated People's Hospital, Zhejiang Provincial People's Hospital, Hangzhou Medical College, 310014, Hangzhou, Zhejiang Province, China.
Despite the growing adoption of laparoscopic hepatectomy (LH) for intrahepatic cholangiocarcinoma (ICC), there is no scoring system available designed to evaluate its surgical complexity. This paper aims to introduce a novel difficulty scoring system (DSS), designated as the Wei-DSS, exclusively tailored to assess the surgical difficulty of pure LH for ICC. We retrospectively collected clinical data from ICC patients who underwent pure LH at our institution, spanning from November 2018 to May 2024.
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!