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Illness perceptions predict mortality in patients with predialysis chronic kidney disease: a prospective observational study

BACKGROUND: Illness perceptions have been shown to predict a range of psychosocial and clinical outcomes in kidney disease; including quality of life, distress, treatment adherence and even survival in end-stage renal disease patients on dialysis. The aim of this study was to evaluate whether illnes...

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Autores principales: Muscat, Priscilla, Weinman, John, Farrugia, Emanuel, Camilleri, Liberato, Chilcot, Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727218/
https://www.ncbi.nlm.nih.gov/pubmed/33302894
http://dx.doi.org/10.1186/s12882-020-02189-7
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author Muscat, Priscilla
Weinman, John
Farrugia, Emanuel
Camilleri, Liberato
Chilcot, Joseph
author_facet Muscat, Priscilla
Weinman, John
Farrugia, Emanuel
Camilleri, Liberato
Chilcot, Joseph
author_sort Muscat, Priscilla
collection PubMed
description BACKGROUND: Illness perceptions have been shown to predict a range of psychosocial and clinical outcomes in kidney disease; including quality of life, distress, treatment adherence and even survival in end-stage renal disease patients on dialysis. The aim of this study was to evaluate whether illness perceptions impact mortality in incident predialysis Chronic Kidney Disease (CKD) patients. METHODS: Over the study period between September 2015 and June 2019, a total of 200 participants with predialysis CKD were recruited from the Nephrology Outpatient’s clinics at Mater Dei Hospital, Malta. The participants were followed up until June 2019, and the mortality information was collected. Cox proportional hazards models were used to examine the association between illness perceptions, and mortality risk, after adjustment for covariates including distress, kidney function, co-morbidity and psychological distress. RESULTS: Of the 200 cases available for analysis, there were 43 deaths. The mean survival time was 718.55 days (min. 3 days, max. 1297 days). The cumulative survival 1-year post the assessment of the Revised Illness Perceptions Questionnaire (IPQ–R) was 93%. Stronger identity beliefs (HR = 1.199, 95% CI: 1.060–1.357, p = 0.004), perceptions of a chronic timeline (HR = 1.065, 95% CI: 1.003–1.132, p = 0.041), personal control beliefs (HR = 0.845, 95% CI: 0.748–0.955, p = 0.007) and perceptions of control over the treatment (HR = 0.812, 95% CI: 0.725–0.909, p = 0.000) demonstrated a significant association with mortality after controlling covariates. In a subsequent saturated model, perceived identity, chronic timeline and treatment control perceptions remained significant predictors of mortality, together with serum albumin, comorbidities and urea. CONCLUSIONS: CKD patients’ perceptions of treatment control, perceptions of a chronic timeline and perceived illness identity predict survival independently of clinical prognostic factors, including kidney function and co-morbidity. Illness perceptions are important and potentially modifiable risk factors in CKD. Further studies are required to test whether the assessment and the implementation of psychological interventions aimed to modify maladaptive illness perceptions influence clinical outcomes in CKD.
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spelling pubmed-77272182020-12-11 Illness perceptions predict mortality in patients with predialysis chronic kidney disease: a prospective observational study Muscat, Priscilla Weinman, John Farrugia, Emanuel Camilleri, Liberato Chilcot, Joseph BMC Nephrol Research Article BACKGROUND: Illness perceptions have been shown to predict a range of psychosocial and clinical outcomes in kidney disease; including quality of life, distress, treatment adherence and even survival in end-stage renal disease patients on dialysis. The aim of this study was to evaluate whether illness perceptions impact mortality in incident predialysis Chronic Kidney Disease (CKD) patients. METHODS: Over the study period between September 2015 and June 2019, a total of 200 participants with predialysis CKD were recruited from the Nephrology Outpatient’s clinics at Mater Dei Hospital, Malta. The participants were followed up until June 2019, and the mortality information was collected. Cox proportional hazards models were used to examine the association between illness perceptions, and mortality risk, after adjustment for covariates including distress, kidney function, co-morbidity and psychological distress. RESULTS: Of the 200 cases available for analysis, there were 43 deaths. The mean survival time was 718.55 days (min. 3 days, max. 1297 days). The cumulative survival 1-year post the assessment of the Revised Illness Perceptions Questionnaire (IPQ–R) was 93%. Stronger identity beliefs (HR = 1.199, 95% CI: 1.060–1.357, p = 0.004), perceptions of a chronic timeline (HR = 1.065, 95% CI: 1.003–1.132, p = 0.041), personal control beliefs (HR = 0.845, 95% CI: 0.748–0.955, p = 0.007) and perceptions of control over the treatment (HR = 0.812, 95% CI: 0.725–0.909, p = 0.000) demonstrated a significant association with mortality after controlling covariates. In a subsequent saturated model, perceived identity, chronic timeline and treatment control perceptions remained significant predictors of mortality, together with serum albumin, comorbidities and urea. CONCLUSIONS: CKD patients’ perceptions of treatment control, perceptions of a chronic timeline and perceived illness identity predict survival independently of clinical prognostic factors, including kidney function and co-morbidity. Illness perceptions are important and potentially modifiable risk factors in CKD. Further studies are required to test whether the assessment and the implementation of psychological interventions aimed to modify maladaptive illness perceptions influence clinical outcomes in CKD. BioMed Central 2020-12-10 /pmc/articles/PMC7727218/ /pubmed/33302894 http://dx.doi.org/10.1186/s12882-020-02189-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Muscat, Priscilla
Weinman, John
Farrugia, Emanuel
Camilleri, Liberato
Chilcot, Joseph
Illness perceptions predict mortality in patients with predialysis chronic kidney disease: a prospective observational study
title Illness perceptions predict mortality in patients with predialysis chronic kidney disease: a prospective observational study
title_full Illness perceptions predict mortality in patients with predialysis chronic kidney disease: a prospective observational study
title_fullStr Illness perceptions predict mortality in patients with predialysis chronic kidney disease: a prospective observational study
title_full_unstemmed Illness perceptions predict mortality in patients with predialysis chronic kidney disease: a prospective observational study
title_short Illness perceptions predict mortality in patients with predialysis chronic kidney disease: a prospective observational study
title_sort illness perceptions predict mortality in patients with predialysis chronic kidney disease: a prospective observational study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727218/
https://www.ncbi.nlm.nih.gov/pubmed/33302894
http://dx.doi.org/10.1186/s12882-020-02189-7
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