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Comparison of longitudinal quality of life outcomes in preemptive and dialyzed patients on waiting list for kidney transplantation

Auteurs

• Enjalbert Line - Interne de Pharmacie  - Université de Nantes 
  
  
• Hardouin Jean-Benoit - Maitre de Conférences - HDR - Biostatistique  - UFR de Pharmacie 
  
  
• Blanchin Myriam - Ingénieur de recherche en Biostatistique  - Université de Nantes - UFR de Pharmacie 
  
  
• Giral Magali - PU-PH  - CHU de Nantes  
  
  
• Morelon Emmanuel
  
  
• Cassuto Elisabeth
  
  
• Meurette Aurélie
  
  
• Sébille Véronique - PU-PH Biostatistique - Directrice de l'unité SPHERE  - Université de Nantes - UFR de Pharmacie 
  
  

Description

Nature : Articles dans une revue internationale
Thématique : Biostatistique et Mesures Subjectives en Santé
Rang : Rang A : publication porté par un membre de l'unité, dans le cadre de l'unité
Axe de recherche principal: Utilisation pratique des Mesures Subjectives en Santé

Enjalbert L, Hardouin JB, Blanchin M, Giral M, Morelon E, Cassuto E, Meurette A, Sébille V (2019) Comparison of longitudinal quality of life outcomes in preemptive and dialyzed patients on waiting list for kidney transplantation. Quality of Life Research: .

Résumé

Purpose: The waiting list period for kidney transplantation can be lengthy and associated with a deteriorated health-related quality of life (HRQoL). It might also be experienced differently depending on the experience of renal replacement therapy (preemptive or dialyzed patients), and the type of dialysis. The main objective of this study is to measure and compare HRQoL changes in preemptive, hemodialysis (HD) and peritoneal dialysis (PD) patients during the waiting list period for kidney transplantation. Methods: A sample of adult patients on kidney transplant waiting list from three French University Hospital centers was recruited. HRQoL was measured using the SF-36 and a specific questionnaire (ReTransQol), which were collected every six months before transplantation in preemptive, HD and PD patients. Mixed-effects models taking into account time and possible confounding factors were used to compare HRQoL changes between the three groups. Results: Preemptive (n=230), HD (n=177) and PD patients (n=39) were enrolled. The renal replacement therapy modalities, time (time on waiting list and age at registration) and gender were associated with HRQoL changes. The HD and PD patients had a significantly lower perceived HRQoL on Role Physical, Social Functioning and Role Emotional dimensions than the preemptive patients, with lower scores for PD compared to HD patients. The HRQoL scores of all patients were lower compared to the French general population for all dimensions. Conclusions: A better understanding of pre-transplantation patients’ experience can help improving patient care with adapted educational programs and psychological support depending on the type of renal replacement therapy.

Projet(s) ayant donné lieu à cette publication

PreKiT-QoL : Pre-emptive Kidney Transplantation and Quality of Life

Thèse(s) ou stage(s) lié(s) à cette publication

Line Enjalbert : Evaluation de la qualité de vie et du vécu des patients sur liste d'attente d'une transplantation rénale : comparaison des patients préemptifs et des patients dialysés avec prise en considération du fonctionnement différentiel des items. (2017)

Publications ayant le même axe principal de recherche (Utilisation pratique des Mesures Subjectives en Santé)

• Toscano A, Blanchin M, Bourdon M, Bonnaud-Antignac A, Sébille V (2020) Longitudinal associations between coping strategies, locus of control and health-related quality of life changes in patients with breast cancer or melanoma. Quality of Life Research: .
  
  
• Bulteau S, Sauvaget A, Vanier A, Vanelle J, Poulet E, Brunelin J, Sébille V (2019) Depression Reappraisal and Treatment Effect: Will Response Shift Help Improve the Estimation of Treatment Efficacy in Trials for Mood Disorders?. Front Psychiatry, 10: 420.
  
  
• Forestier B, Anthoine E, Reguiai Z, Fohrer C, Blanchin M (2019) A systematic review of dimensions evaluating patient experience in chronic illness. Health and Quality of Life Outcomes, 17(1): 19.
  
  
• Le Sache de Peufheiloux L, Benamara-Lévy M, Dionne M, Bodemer C, Leducq S, Samimi M, Maruani A (2018) Treatments and outcomes in juvenile linear scleroderma: a narrative systematic review. Eur J Dermatol, 28(5): 718-20.
  
  
• Blanchin M, Hardouin JB, Bonnaud-Antignac A, Sébille V (2016) Analysis of longitudinal patient reported outcomes data with Classical Test Theory and Rasch-based methods: an application on health-related quality of life in breast cancer patients. Statistica Applicata – Italian Journal of Applied Statistics, 27(1): 41-56.
  
  
• Ali A, Carré A, Hassler C, Spilka S, Vanier A, Barry C, Berthoz S (2016) Risk factors for substances use and misuse among young people in France: What can we learn from the Substance Use Risk Profile Scale?. Drug and Alcohol Dependence, 163: 84-91.
  
  
• Brédart A, Merdy O, Sigal-Zafrani B, Fiszer C, Dolbeault S, Hardouin JB (2016) Identifying trajectory clusters in breast cancer survivors' supportive care needs, psychosocial difficulties, and resources from the completion of primary treatment to 8 months later.. Supportive Care in Cancer, 24(1): 357-366.
  
  
• Anthoine E, Coutherut J, Delmas C, Moret L (2014) Facilitators and barriers of interprofessional collaboration regarding of perceived practices of sharing medical information and team communication. Journal of Interprofessional Care: .
  
  
• Moret L, Anthoine E, Gillet N, Fouquereau E, Colombat P (2013) Organisation du travail, démarche participative et satisfaction des patients hospitalisés : une évaluation dans 47 services d’oncohématologie. Psycho-Oncol, 8(3): 157-164.
  
  
• Hardouin JB, Audureau E, Leplège A, Coste J (2012) Spatio-temporal Rasch analysis of Quality of life outcomes in the french general population. Measurement invariance and group comparisons . BMC Medical Research Methodology, 12: 182.
  
  
• Omnes C, Hardouin JB (2004) Belote et rebelote, comment éviter le dix de der ? (Suicide attempts : can we predict the recurrence ?). Revue française de psychiatrie et de psychologie médicale: 27-32.
  
  

Publications liées à l'axe principal de recherche (Utilisation pratique des Mesures Subjectives en Santé)

• Bourdon M, Blanchin M, Campone M, Quéreux G, Dravet F, Sébille V, Bonnaud-Antignac A (2019) A comparison of post-traumatic growth changes in breast cancer and melanoma. Health psychology, 38(10): 878-887.
  
  
• Hamel JF, Sébille V, Le Neel T, Kubis G, Boyer F, Hardouin JB (2017) What are the appropriate methods for analyzing patients reported outcomes in randomized trials when data are missing?. Statistical Methods in Medical Research, 26(6): 2897-2908.
  
  
• Salmon M, Blanchin M, Rotonda C, Guillemin F, Sébille V (2017) Identifying patterns of adaptation in breast cancer patients with cancer-related fatigue using response shift analyses at subgroup level. Cancer Medicine, 6(11): 2562-2575.
  
  
• de Bock E, Hardouin JB, Blanchin M, Le Neel T, Kubis G, Dantan E, Bonnaud-Antignac A, Sébille V (2016) Rasch-family models are more valuable than score-based approaches for analysing longitudinal PRO with intermittent missing data. Statistical Methods in Medical Research , 25(5): 2067–2087.
  
  
• (Soumis) Blanchin M, Hardouin JB, Le Neel T, Kubis G, Sébille V (2016) CTT and Rasch-based approaches for joint analysis of group and time effects of longitudinal Patient Reported Outcomes: impact of dropout mechanisms..
  
  
• Bonnaud-Antignac A, Tessier P, Nazih F, Quere M, Sébille V, Hardouin JB (2015) Stress, Qualité de vie et Santé des étudiants Suivi de cohortes en Première Année Commune d’Etude en Santé (PACES). Jounal de thérapie cognitive et comportementale: in press.
  
  
• Blanchard C, Mathonnet M, Sebag F, Caillard C, Kubis C, Drui D, Van der Nuvel E, Ansquer C, Henry JF, Masson D, Kraeber-Bodéré F, Hardouin JB, zarnegar R, Hamy A, Mirallié E (2014) Quality of life is modestly improved in older patients with mild primary hyperparathyroidism postoperatively Results of a prospective multicenter study. Annals of Surgical Oncology, 21(11): 3534-3540.
  
  
• Rat C, Quéreux G, Monnier A, Gautier J, Bonnaud-Antignac A, Khammari A, Dréno B, N'guyen S, Monegier du Sorbier M , Gaultier A (2014) Patients at elevated risk of melanoma: Individual predictors of non-compliance to GP referral for a dermatologist consultation. Preventive Medicine, 64: 48-53.
  
  
• Rouquette A, Blanchin M, Sébille V, Guillemin F, Côté SM, Falissard B, Hardouin JB (2014) Determination of the Minimal Clinically Important Difference using Item Response Theory Models: an attempt to solve the issue of the association with baseline score. Journal of Clinical Epidemiology, 64(4): 433-440.
  
  
• Clermidi P, Podevin G, Crétolle C, Sarnacki S, Hardouin JB (2013) The challenge of measuring quality of life for children with Hirschsprung's diseases or anorectal malformations. Journal of Pediatric Surgery, 48(10): 2118-2127.
  
  
• Hamel JF, Hardouin JB, Le Neel T, Kubis G, Roquelaure Y, Sébille V (2012) Study of different methods for comparing groups by analysis of subjective health measurements. PLoS One, 7(10): e44695.
  
  
• Bonnaud-Antignac A, Hardouin JB, Léger J, Dravet F, Sébille V (2012) Quality of life and coping of women treated for breast cancer and their caregivers. What are the interactions?. Journal of Clinical Psychology in Medical Settings, 19: 320-328.
  
  
• Dely C, Sellier P, Dozol A, Segouin C, Moret L, Lombrail P (2012) Preventable readmissions of "community-acquired pneumonia": Usefulness and reliability of an indicator of the quality of care of patients' care pathways.. Presse Med, 9(1): 51-7.
  
  
• Blanchin M (2011) Comparaison des approches CTT et IRT pour l'analyse des effets temps et groupe de données longitudinales de type Patient-Reported Outcomes et impact du dropout. Thèse de doctorat de l'Université de Nantes - Ecole doctorale Biologie Santé, 219 pages.
  
  
• Lelorain S, Tessier P, Florin A, Bonnaud-Antignac A (2011) Predicting Mental Quality of Life in Breast Cancer Survivors Using Comparison Participants. Journal of Psychosocial Oncology, 29(4): 430-449.