Background: The clinical course of acute low back pain (LBP) is generally favourable; however, there is significant variability in the prognosis of these patients. A clinical prediction model to predict the likelihood of pain recovery at three time points for patients with acute LBP has recently been developed. The aim of this study is to conduct a broad validation test of this clinical prediction model, by testing its performance in a new sample of patients and a different setting.
Methods: The validation study with a prospective cohort design will recruit 420 patients with recent onset non-specific acute LBP, with moderate pain intensity, seeking care in the emergency departments of hospitals in São Paulo, Brazil. The primary outcome measure will be days to recovery from pain. The predicted probability of pain recovery for each individual will be computed based on predictions of the development model and this will be used to test the performance (calibration and discrimination) in the validation dataset.
Discussion: The findings of this study will better inform about the performance of the clinical prediction model, helping both clinicians and patients. If the model's performance is acceptable, then future research should evaluate the impact of the prediction model, assessing whether it produces a change in clinicians' behaviour and/or an improvement in patient outcomes.
Ethics And Dissemination: Ethics were granted by the Research Ethics Committee of the Universidade Cidade de São Paulo, #20310419.4.0000.0064. Study findings will be disseminated widely through peer-reviewed publications and conference presentations.
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http://dx.doi.org/10.1136/bmjopen-2020-040785 | DOI Listing |
J Occup Environ Hyg
January 2025
Center for Environmental Solutions and Emergency Response, United States Environmental Protection Agency, Cincinnati, Ohio.
Chemical release data are essential for performing chemical risk assessments to understand the potential exposures arising from industrial processes. Often, these data are unknown or unavailable and must be estimated. A case study of volatile organic compound releases during extrusion-based additive manufacturing is used here to explore the viability of various regression methods for predicting chemical releases to inform chemical assessments.
View Article and Find Full Text PDFAm J Phys Med Rehabil
January 2025
Department of Clinical Psychology, International Institute of Behavioural Medicine, Seville, Spain.
Objective: To provide evidence that catastrophizing is the primer of the cognitive-behavioural model of fear of movement/(re)injury (FAM).
Design: A cross-sectional analysis of 180 outpatients with chronic non-specific low back pain who completed the Pain Catastrophizing Scale (PCS), the Tampa Scale of Kinesiophobia (TSK), the Roland-Morris Disability Questionnaire (RMDQ), the Hospital Anxiety and Depression Scale - Depression (HADS-D), and a pain intensity numerical rating scale (NRS). The intercorrelations of the outcome measures were estimated using Pearson's correlation coefficient (r), and regression analyses were used to examine their predictive values by following the left side of the FAM clockwise from the PCS (p = 0.
Proc Natl Acad Sci U S A
January 2025
Department of Anatomy, University of Otago, Dunedin 9016, New Zealand.
Aging is a complex process characterized by biological decline and a wide range of molecular alterations to cells, including changes to DNA methylation. In this study, we used a male-specific epigenetic marker of aging to build an epigenetic predictor that measures long-term androgen exposure in sheep and mice (median absolute error of 4.3 and 1.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Laboratoire de Géologie, Ecole Normale Supérieure, CNRS, Institut Pierre-Simon Laplace, Université Paris Sciences et Lettres, Paris 75005, France.
The insulative properties of soil organic carbon (SOC) and surface organic layers (moss, lichens, litter) regulate surface-atmosphere energy exchanges in the Arctic through a coupling with soil temperatures. However, a physical description of this process is lacking in many climate models, potentially biasing their high-latitude climate predictions. Using a coupled surface-atmosphere model, we identified a strong feedback loop between soil insulation, surface air temperature, and snowfall.
View Article and Find Full Text PDFAngew Chem Int Ed Engl
January 2025
Emory University, Chemistry, 1515 Dickey Dr., 30322, Atlanta, UNITED STATES OF AMERICA.
Genetically encoded tension sensors (GETSs) allow for quantifying forces experienced by intracellular proteins involved in mechanotransduction. The vast majority of GETSs are comprised of a FRET pair flanking an elastic "spring-like" domain that gradually extends in response to force. Because of ensemble averaging, the FRET signal generated by such analog sensors conceals forces that deviate from the average, and hence it is unknown if a subset of proteins experience greater magnitudes of force.
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