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Supplemental material, sj-docx-1-taj-10.1177_20406223231169715 for Risk factors for the long-term incidence and progression of knee osteoarthritis in older adults: role of nonsurgical injury by Jean-Pierre Pelletier, Patrice Paiement, Marc Dorais, Jean-Pierre Raynauld and Johanne Martel-Pelletier in Therapeutic Advances in Chronic Disease

Supplemental material, sj-docx-1-taj-10.1177_20406223231169715 for Risk factors for the long-term incidence and progression of knee osteoarthritis in older adults: role of nonsurgical injury by Jean-Pierre Pelletier, Patrice Paiement, Marc Dorais, Jean-Pierre Raynauld and Johanne Martel-Pelletier in Therapeutic Advances in Chronic Disease

Predictor identification is important in medical research as it can help clinicians to have a better understanding of disease epidemiology and identify patients at higher risk of an outcome. Variable selection is often used to reduce the dimensionality of a prediction model. When conducting variable selection, it is often beneficial to take selection dependencies into account. Selection dependencies can help to improve model interpretability, increase the chance of recovering the true model, and augment the prediction accuracy of the resulting model. The latent overlapping group lasso can achieve the goal of incorporating some types of selection dependencies into variable selection by assigning coefficients to different groups of penalties. However, when the selection dependencies are complex, there is no roadmap for how to specify the groups of penalties. Wang et al. (2021) proposed a general framework for structured variable selection, and provided a condition to verify whether a penalty grouping respects a set of selection dependencies. Based on this previous work, we construct roadmaps to derive the grouping specification for some common selection dependencies and apply them to the problem of constructing a prediction model for major bleeding among hypertensive patients recently hospitalized for atrial fibrillation and then prescribed oral anticoagulants. In the application, we consider a proxy of adherence to anticoagulant medication and its interaction with dose and oral anticoagulants type, respectively. We also consider drug-drug interactions. Our method allows for algorithmic identification of the grouping specification even under the resulting complex selection dependencies., Comment: 45 pages, 1 figure

Supplemental material, sj-docx-1-tab-10.1177_1759720X221091359 for Risk factors associated with the occurrence of total knee arthroplasty in patients with knee osteoarthritis: a nested case–control study by Jean-Pierre Pelletier, Marc Dorais, Patrice Paiement, Jean-Pierre Raynauld and Johanne Martel-Pelletier in Therapeutic Advances in Musculoskeletal Disease

Supplemental material, sj-docx-2-tab-10.1177_1759720X221091359 for Risk factors associated with the occurrence of total knee arthroplasty in patients with knee osteoarthritis: a nested case–control study by Jean-Pierre Pelletier, Marc Dorais, Patrice Paiement, Jean-Pierre Raynauld and Johanne Martel-Pelletier in Therapeutic Advances in Musculoskeletal Disease

Supplemental material, sj-docx-1-tab-10.1177_1759720X221091359 for Risk factors associated with the occurrence of total knee arthroplasty in patients with knee osteoarthritis: a nested case–control study by Jean-Pierre Pelletier, Marc Dorais, Patrice Paiement, Jean-Pierre Raynauld and Johanne Martel-Pelletier in Therapeutic Advances in Musculoskeletal Disease

Supplemental material, sj-docx-2-tab-10.1177_1759720X221091359 for Risk factors associated with the occurrence of total knee arthroplasty in patients with knee osteoarthritis: a nested case–control study by Jean-Pierre Pelletier, Marc Dorais, Patrice Paiement, Jean-Pierre Raynauld and Johanne Martel-Pelletier in Therapeutic Advances in Musculoskeletal Disease

Supplemental material, Supplemental_File for Agreement Between Administrative Database and Medical Chart Review for the Prediction of Chronic Kidney Disease G category by Louise Roy, Michael Zappitelli, Brian White-Guay, Jean-Philippe Lafrance, Marc Dorais and Sylvie Perreault in Canadian Journal of Kidney Health and Disease

Introduction: Bone loss is significant within the first 3 to 6 months after orthotopic liver transplantation (OLT) and is associated with high rates of fractures. Incident fractures after OLT are correlated with substantial decreased quality of life. To attempt preventing post-transplant fractures, the cornerstone of therapeutic management is bisphosphonates (BP). Objectives: The main objective of our study was to determine the incidence of fractures during the first three years after a first OLT in patients receiving BP. The secondary objective was to study the predictors of fractures in these patients. Methods: We conducted a retrospective study in a cohort of patients who underwent OLT between January 2012 and September 2016 at our center. All adult recipients who received BP after OLT were included in the study. Clinical, laboratory, bone mineral density (BMD) and fracture data were extracted from electronic medical records. Vertebral and non-vertebral fractures were included and all fractures were confirmed by a radiologist. Results: During the study period, 304 OLT were performed and 158 patients (median age 57 y.o.; 29.8% female) met the inclusion criteria. Prior to OLT, 14 patients (8.9%) met the criteria for osteoporosis (T-score ≤ -2.5) and a total of 24 patients (15.2%) had a past history of fractures (vertebral and non-vertebral). The cumulative incidence of fractures after OLT in patients treated with BP was 19.1% (26 patients) at 36 months, with a median time to first fracture of 6 months (Q1=2, Q3=20 months). Predictive factors of fractures in univariate analyses included: age > 60 y.o. (HR 2.46; 95% CI, 1.14-5.33), new onset diabetes after transplantation (NODAT) (HR 2.38; 95% CI, 1.10-5.15), narcotic use at 6 months after OLT (HR 2.19; 95% CI, 1.00-4.77) and length of hospital stays in the first year (days) (HR 1.01; 95% CI, 1.00-1.01). Previous fragility fracture was not associated with higher risk of post-transplant fracture. Multivariate analysis confirmed that age > 60 y.o. (HR 2.66; 95% CI, 1.23-5.79; p=0.01), narcotic use (HR 2.65; 95% CI, 1.20-5.84; p=0.02) and NODAT (HR 2.68; 95% CI, 1.23-5.84; p=0.01) were significant independent risk factors for fractures. BMD was available before and after transplant in 34 patients and there was a statistically significant decrease in mean absolute BMD (g/cm2) at the femoral neck (-0.07 g/cm2 vs. -0.04 g/cm2; p=0.02) and total hip (-0.07 g/cm2 vs. -0.02 g/cm2; p=0.02) in patients with incident fractures compared to patients without fracture during follow-up. Conclusion: Fractures are a frequent complication after OLT even in patients preemptively treated with BP. Special attention should be paid to BP treated older patients, narcotic users and patients with NODAT in order to prevent fractures after OLT. Further studies are needed to identify the best therapeutic strategy in this population.

Supplemental material, AUT840229_Supplemental_table_1 for Use, costs, and predictors of psychiatric healthcare services following an autism spectrum diagnosis: Population-based cohort study by Caroline Croteau, Laurent Mottron, Marc Dorais, Jean-Eric Tarride and Sylvie Perreault in Autism

Supplemental material, Supplementary_material_DArienzo_et_al_Revision_2_Clean for A Validation Study of Administrative Health Care Data to Detect Acute Kidney Injury in the Pediatric Intensive Care Unit by David D’Arienzo, Erin Hessey, Rami Ali, Sylvie Perreault, Susan Samuel, Louise Roy, Jacques Lacroix, Philippe Jouvet, Genevieve Morissette, Marc Dorais, Jean-Philippe Lafrance, Veronique Phan, Michael Pizzi, Rahul Chanchlani and Michael Zappitelli in Canadian Journal of Kidney Health and Disease

Supplemental material, AUT840229_Lay_Abstract for Use, costs, and predictors of psychiatric healthcare services following an autism spectrum diagnosis: Population-based cohort study by Caroline Croteau, Laurent Mottron, Marc Dorais, Jean-Eric Tarride and Sylvie Perreault in Autism

Supplemental material, CKD_Supplemental_Material_Revisions_1_07_Aug_2019 for Acute Kidney Injury in Critically Ill Children and Subsequent Chronic Kidney Disease by Erin Hessey, Sylvie Perreault, Marc Dorais, Louise Roy and Michael Zappitelli in Canadian Journal of Kidney Health and Disease

Includes methods (prior and concomitant treatment, blinding, treatment compliance, study schedule), Table S1. presenting inclusion and exclusion criteria, Table S2. presenting previous or concomitant medications, and Figure S1. showing joint effusion and swelling. (DOCX 60 kb)