Moderate to severe chronic pain is a problem for 1.7 million children, costing $19.5 billion dollars annually in the United States alone. Risk-stratified care is known to improve outcomes in adults with chronic pain. However, no tool exists to stratify youth who present with pain complaints to appropriate interventions. The Pediatric Pain Screening Tool (PPST) presented here assesses prognostic factors associated with adverse outcomes among youth and defines risk groups to inform efficient treatment decision making. Youth (n = 321, ages 8-18, 90.0% Caucasian, 74.8% female) presenting for multidisciplinary pain clinic evaluation at a tertiary care center participated. Of these, 195 (61.1%) participated at 4-month follow-up. Participants completed the 9-item PPST in addition to measures of functional disability, pain catastrophizing, fear of pain, anxiety, and depressive symptoms. Sensitivity and specificity for the PPST ranged from adequate to excellent, with regard to significant disability (78%, 68%) and high emotional distress (81%, 63%). Participants were classified into low- (11%), medium- (32%), and high- (57%) risk groups. Risk groups did not significantly differ by pain diagnosis, location, or duration. Only 2% to 7% of patients who met reference standard case status for disability and emotional distress at 4-month follow-up were classified as low risk at baseline, whereas 71% to 79% of patients who met reference standard case status at follow-up were classified as high risk at baseline. A 9-item screening tool identifying factors associated with adverse outcomes among youth who present with pain complaints seems valid and provides risk stratification that can potentially guide effective pain treatment recommendations in the clinic setting.
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http://dx.doi.org/10.1097/j.pain.0000000000000199 | DOI Listing |
Clinics (Sao Paulo)
January 2025
Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran. Electronic address:
Objectives: It is estimated that up to 65 % of pwMS (people with multiple sclerosis) experience varying degrees of cognitive impairment, the most commonly affected domain being Information Processing Speed (IPS). As sleep disturbance is a predictor of detriments in IPS, the authors aimed to study the association between the severity of Restless Legs Syndrome (RLS) and Obstructive Sleep Apnea (OSA) symptoms with IPS in pwMS.
Methods: In a cross-sectional study, the authors enrolled people with relapsing-remitting and secondary progressive MS referred to the comprehensive MS center of Kashani Hospital in Isfahan, Iran.
JMIR Form Res
January 2025
Department of Medical Informatics, Amsterdam UMC - University of Amsterdam, Amsterdam, Netherlands.
Background: The prognosis for patients with several types of cancer has substantially improved following the introduction of immune checkpoint inhibitors, a novel type of immunotherapy. However, patients may experience symptoms both from the cancer itself and from the medication. A prototype of the eHealth tool Cancer Patients Better Life Experience (CAPABLE) was developed to facilitate symptom management, aimed at patients with melanoma and renal cell carcinoma treated with immunotherapy.
View Article and Find Full Text PDFAnnu Rev Anal Chem (Palo Alto Calif)
January 2025
Department of Chemistry, Michigan State University, East Lansing, Michigan, USA; email:
Mass spectrometry (MS)-based top-down proteomics (TDP) characterizes proteoforms in cells, tissues, and biological fluids (e.g., human plasma) to better our understanding of protein function and to discover new protein biomarkers for disease diagnosis and therapeutic development.
View Article and Find Full Text PDFACS Sens
January 2025
Key Laboratory for Ultrafine Materials of Ministry of Education, School of Materials Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
It is crucial yet challenging to sensitively quantify low-abundance biomarkers in blood for early screening and diagnosis of various diseases. Herein, an analytical model of intra-mesopore immunoassay (IMIA) was proposed, which was competent to examine various biomarkers at the femtomolar level. The success is rooted in the design of an innovative superparamagnetic core-shell structure with FeO nanoparticles (NPs) at the core and hierarchically porous zeolitic imidazolate frameworks as a shell (FeO@HPZIF-8), achieved through a soft-template directed self-assembly coupled with confinement growth mechanism.
View Article and Find Full Text PDFPLOS Digit Health
January 2025
FIND, Geneva, Switzerland.
AI based software, including computer aided detection software for chest radiographs (CXR-CAD), was developed during the pandemic to improve COVID-19 case finding and triage. In high burden TB countries, the use of highly portable CXR and computer aided detection software has been adopted more broadly to improve the screening and triage of individuals for TB, but there is little evidence in these settings regarding COVID-19 CAD performance. We performed a multicenter, retrospective cross-over study evaluating CXRs from individuals at risk for COVID-19.
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