Illness perception in patients with chronic kidney disease and kidney failure: a scoping review protocol

IntroductionPatient education is a crucial component in the management of chronic kidney disease (CKD); however, many education programmes do not tailor to patients’ disease-related belief and emotional reactions. According to Leventhal’s self-regulation model, such beliefs and reactions, known as illness perceptions, are a part of patients’ understanding of their disease and treatment-related actions. The existing research of illness perception in the field of nephrology has been heterogenous in terms of study outcomes and in study population; and the evidence of how illness perceptions affect behavioural and decisional outcomes is limited. This scoping review aims to map and summarise the evidence of published literature on illness perception among patients with CKD not yet treated by dialysis and kidney failure.Methods and analysisThis study bases its approach on Joanna Brigg’s Institute Guidelines on scoping review methods. The search strategy was developed together with a medical information specialist. Searches will be performed on acceptance of publication in the following databases: PubMed, EMBASE, PsycINFO via Ovid, Scopus and the Cumulative Index to Nursing and Allied Health Literature. Searches will be run without incorporating a date restriction in order to capture content from the databases’ inception to present day. Search terms including ‘illness perception’, ‘kidney disease’ and ‘kidney failure’ will be screened in titles and abstracts. Two independent researchers will screen the abstracts and full text for full eligibility. We will include studies focusing on illness perception of patients with CKD with estimated glomerular filtration rate <60 mL/min/1.73 m2, kidney failure or recipients of kidney transplant. We will exclude patients <18 years of age, patients with acute kidney injury and non-English articles. All demographic data, study design and study findings will be collected and analysed using a data abstraction tool.Ethics and disseminationThis study does not require internal review board approval. We will present the findings of this scoping review in a peer-reviewed journal.

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Illness Perceptions of COVID-19 in Europe: Predictors, Impacts and Temporal Evolution

Frontiers in Psychology ◽

10.3389/fpsyg.2021.640955 ◽

2021 ◽

Vol 12 ◽

Author(s):

David Dias Neto ◽

Ana Nunes da Silva ◽

Magda Sofia Roberto ◽

Jelena Lubenko ◽

Marios Constantinou ◽

...

Keyword(s):

Perceived Stress ◽

Illness Perceptions ◽

Early Stage ◽

Self Regulation ◽

Illness Perception ◽

Preventive Behaviors ◽

Illness Perception Questionnaire ◽

National Differences ◽

Comprehensive Picture ◽

Regulation Model

Objective: Illness perceptions (IP) are important predictors of emotional and behavioral responses in many diseases. The current study aims to investigate the COVID-19-related IP throughout Europe. The specific goals are to understand the temporal development, identify predictors (within demographics and contact with COVID-19) and examine the impacts of IP on perceived stress and preventive behaviors.Methods: This was a time-series-cross-section study of 7,032 participants from 16 European countries using multilevel modeling from April to June 2020. IP were measured with the Brief Illness Perception Questionnaire. Temporal patterns were observed considering the date of participation and the date recoded to account the epidemiological evolution of each country. The outcomes considered were perceived stress and COVID-19 preventive behaviors.Results: There were significant trends, over time, for several IP, suggesting a small decrease in negativity in the perception of COVID-19 in the community. Age, gender, and education level related to some, but not all, IP. Considering the self-regulation model, perceptions consistently predicted general stress and were less consistently related to preventive behaviors. Country showed no effect in the predictive model, suggesting that national differences may have little relevance for IP, in this context.Conclusion: The present study provides a comprehensive picture of COVID-19 IP in Europe in an early stage of the pandemic. The results shed light on the process of IP formation with implications for health-related outcomes and their evolution.

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An Illness Perception Model of Primary Care Patients’ Help Seeking for Depression

Qualitative Health Research ◽

10.1177/1049732311413781 ◽

2011 ◽

Vol 21 (11) ◽

pp. 1495-1507 ◽

Cited By ~ 16

Author(s):

A. Rani Elwy ◽

James Yeh ◽

Jason Worcester ◽

Susan V. Eisen

Keyword(s):

Primary Care ◽

Help Seeking ◽

Illness Perceptions ◽

Self Regulation ◽

Illness Perception ◽

Illness Behavior ◽

Depression Treatment ◽

Negative Consequences ◽

Primary Care Patients ◽

Regulation Model

Many people with depression recognize their symptoms as depression, but fail to seek treatment for a number of years. We aimed to explore the reasons for this. Thirty primary care patients who screened positive for depression participated in semistructured, face-to-face interviews. Transcripts were analyzed using grounded thematic analysis. Patients who sought depression treatment emphasized their understanding of depression, their belief that treatment would work, and the negative consequences that would ensue if they did not seek treatment. Patients who did not seek treatment emphasized that treatment would not be effective, thought that depression would not last very long, and believed that depression did not affect their everyday lives. Patients’ illness perceptions of depression were represented by and organized using the framework of the Self-Regulation Model of Illness Behavior. This model might be useful for planning patient activation intervention studies to increase the uptake of depression treatment in primary care.

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Characterizing Illness Perception Phenotypes in Older Adults With Chronic Kidney Disease

Innovation in Aging ◽

10.1093/geroni/igaa057.2817 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

pp. 779-779

Author(s):

Eleanor Rivera ◽

Karen Hirschman ◽

Raymond Townsend

Keyword(s):

Older Adults ◽

Chronic Kidney Disease ◽

Kidney Disease ◽

Treatment Adherence ◽

Illness Perceptions ◽

Illness Perception ◽

Patient Activation ◽

Personality Type ◽

Self Management ◽

Disease Knowledge

Abstract An individual’s understanding of their chronic illness (illness perception) is a psychological resource that has an impact on coping and self-management behaviors. Our previous study identified illness perception phenotypes (overall patterns of illness perceptions) in a sample of older adults with heart failure, COPD, and chronic kidney disease. These phenotypes were associated with perceived self-management ability (patient activation) and recent hospitalizations. To further characterize the illness perception phenotypes we focused on older adults with chronic kidney disease, analyzing illness perception data along with potential covariates from the multi-center longitudinal Chronic Renal Insufficiency Cohort study (CRIC). Covariates include sociodemographics, disease parameters, personality type, disease knowledge, and treatment adherence. While personality type was associated with illness perception phenotype, disease knowledge and treatment adherence were not. We have also conducted qualitative analyses of in-depth interviews. These results will inform the development of a pilot intervention incorporating illness perception information into the clinical setting.

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Mineralocorticoid receptor antagonists for nephroprotection and cardioprotection in patients with diabetes mellitus and chronic kidney disease

Nephrology Dialysis Transplantation ◽

10.1093/ndt/gfab167 ◽

2021 ◽

Author(s):

Alberto Ortiz ◽

Charles J Ferro ◽

Olga Balafa ◽

Michel Burnier ◽

Robert Ekart ◽

...

Keyword(s):

Chronic Kidney Disease ◽

Kidney Disease ◽

Kidney Failure ◽

Mineralocorticoid Receptor ◽

Diabetic Kidney Disease ◽

Renin Angiotensin System ◽

Cardiovascular Death ◽

Mineralocorticoid Receptor Antagonists ◽

Receptor Antagonists ◽

Diabetic Kidney

Abstract Diabetic kidney disease develops in about 40% of patients with diabetes and is the commonest cause of chronic kidney disease worldwide. Patients with chronic kidney disease, especially those with diabetes mellitus, are at high risk of both developing kidney failure and cardiovascular death. The use of renin-angiotensin system blockers to reduce the incidence of kidney failure in patients with diabetic kidney disease dates back to studies that are now 20 or more years old. During the last few years sodium-glucose co-transporter-2 inhibitors have shown beneficial renal effects in randomized trials. However, even in response to combined treatment with renin-angiotensin system blockers and sodium-glucose co-transporter-2 inhibitors, the renal residual risk remains high with kidney failure only deferred, but not avoided. The risk of cardiovascular death also remains high even with optimal current treatment. Steroidal mineralocorticoid receptor antagonists reduce albuminuria and surrogate markers of cardiovascular disease in patients already on optimal therapy. However, their use has been curtailed by the significant risk of hyperkalaemia. In The FInerenone in reducing kiDnEy faiLure and dIsease prOgression in Diabetic Kidney Disease (FIDELIO-DKD) study comparing the actions of the non-steroidal mineralocorticoid receptor antagonist finerenone with placebo, finerenone reduced the progression of diabetic kidney disease and the incidence of cardiovascular events with a relatively safe adverse event profile. This document presents in detail the available evidence on the cardioprotective and nephroprotective effects of mineralocorticoid receptor antagonists, analyses the potential mechanisms involved and discusses their potential future place in the treatment of patients with diabetic chronic kidney disease.

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Patients’ and healthcare professionals’ beliefs, perceptions and needs towards chronic kidney disease self-management in China: a qualitative study

BMJ Open ◽

10.1136/bmjopen-2020-044059 ◽

2021 ◽

Vol 11 (3) ◽

pp. e044059

Author(s):

Hongxia Shen ◽

Rianne M J J van der Kleij ◽

Paul J M van der Boog ◽

Wenjiao Wang ◽

Xiaoyue Song ◽

...

Keyword(s):

Chronic Kidney Disease ◽

Kidney Disease ◽

Qualitative Study ◽

Healthcare Professionals ◽

Illness Perceptions ◽

Chinese Patients ◽

Self Management ◽

Tertiary Referral Hospital ◽

Chinese Context ◽

Management Interventions

ObjectivesTo support the adaptation and translation of an evidence-based chronic kidney disease (CKD) self-management intervention to the Chinese context, we examined the beliefs, perceptions and needs of Chinese patients with CKD and healthcare professionals (HCPs) towards CKD self-management.DesignA basic interpretive, cross-sectional qualitative study comprising semistructured interviews and observations.SettingOne major tertiary referral hospital in Henan province, China.Participants11 adults with a diagnosis of CKD with CKD stages G1–G5 and 10 HCPs who worked in the Department of Nephrology.ResultsFour themes emerged: (1) CKD illness perceptions, (2) understanding of and motivation towards CKD self-management, (3) current CKD practice and (4) barriers, (anticipated) facilitators and needs towards CKD self-management. Most patients and HCPs solely mentioned medical management of CKD, and self-management was largely unknown or misinterpreted as adherence to medical treatment. Also, the majority of patients only mentioned performing disease-specific acts of control and not, for instance, behaviour for coping with emotional problems. A paternalistic patient–HCP relationship was often present. Finally, the barriers, facilitators and needs towards CKD self-management were frequently related to knowledge and environmental context and resources.ConclusionsThe limited understanding of CKD self-management, as observed, underlines the need for educational efforts on the use and benefits of self-management before intervention implementation. Also, specific characteristics and needs within the Chinese context need to guide the development or tailoring of CKD self-management interventions. Emphasis should be placed on role management and emotional coping skills, while self-management components should be tailored by addressing the existing paternalistic patient–HCP relationship. The use of electronic health innovations can be an essential facilitator for implementation.

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A scoping review of adult chronic kidney disease clinical pathways for primary care

Nephrology Dialysis Transplantation ◽

10.1093/ndt/gfw208 ◽

2016 ◽

pp. gfw208 ◽

Cited By ~ 2

Author(s):

Meghan J. Elliott ◽

Sarah Gil ◽

Brenda R. Hemmelgarn ◽

Braden J. Manns ◽

Marcello Tonelli ◽

...

Keyword(s):

Primary Care ◽

Chronic Kidney Disease ◽

Kidney Disease ◽

Scoping Review ◽

Clinical Pathways

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Trajectory of Estimated Glomerular Filtration Rate and Malnourishment Predict Mortality and Kidney Failure in Older Adults With Chronic Kidney Disease

Frontiers in Medicine ◽

10.3389/fmed.2021.760391 ◽

2021 ◽

Vol 8 ◽

Author(s):

Shuo-Chun Weng ◽

Chyong-Mei Chen ◽

Yu-Chi Chen ◽

Ming-Ju Wu ◽

Der-Cherng Tarng

Keyword(s):

Older Adults ◽

Chronic Kidney Disease ◽

Kidney Disease ◽

Glomerular Filtration ◽

Kidney Failure ◽

Quadratic Term ◽

Mixed Effect ◽

Risk Of Death ◽

Nutritional Risk Index ◽

Prospective Longitudinal

Objective: The trajectory patterns of estimated glomerular filtration rates (eGFR) in chronic kidney disease (CKD) older adults with malnourishment and their association with subsequent patient outcomes have not been elucidated. We aimed to assess the eGFR trajectory patterns for predicting patient survival and kidney failure in the elderly without or with malnourishment.Materials and Methods: Based on a prospective longitudinal cohort, CKD patients aged 65 years or older were enrolled from 2001 to 2013. Among the 3,948 patients whose eGFR trajectory patterns were analyzed, 1,872 patients were stratified by the absence or presence of malnourishment, and 765 patients were identified and categorized as having malnourishment. Four eGFR trajectory patterns [gradual decline (T0), early non-decline and then persistent decline (T1), persistent increase (T2), and low baseline and then progressive increase (T3)] were classified by utilizing a linear mixed-effect model with a quadratic term in time. The malnourishment was defined as body mass index < 22 kg/m2, serum albumin < 3.0 mg/dL, or Geriatric Nutritional Risk Index (GNRI) < 98. This study assessed the effectiveness of eGFR trajectory patterns in a median follow-up of 2.27 years for predicting all-cause mortality and kidney failure.Results: The mean age was 76.9 ± 6.7 years, and a total of 82 (10.7%) patients with malnourishment and 57 (5.1%) patients without malnourishment died at the end of the study. Compared with the reference trajectory T0, the overall mortality of T1 was markedly reduced [adjusted hazard ratio (aHR) = 0.52, 95% confidence interval (CI) 0.32–0.83]. In patients with trajectory, T3 was associated with a high risk for kidney failure (aHR = 5.68, 95% CI 3.12–10.4) compared with the reference, especially higher risk in the presence of malnourishment. Patients with high GNRI values were significantly associated with a lower risk of death and kidney failure, but patients with malnourishment and concomitant alcohol consumption had a higher risk of kidney failure.Conclusions: Low baseline eGFR and progressively increasing eGFR trajectory were high risks for kidney failure in CKD patients. These findings may be attributed to multimorbidity, malnourishment, and decompensation of renal function.

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Chronic Kidney Disease Prediction using Machine Learning Models

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.a2213.109119 ◽

2019 ◽

Vol 9 (1) ◽

pp. 6364-6367

Keyword(s):

Machine Learning ◽

Chronic Kidney Disease ◽

Kidney Disease ◽

Kidney Failure ◽

Bone Diseases ◽

Machine Learning Algorithms ◽

Knowledge Generation ◽

Good Prediction ◽

Worst Case ◽

Wide Range

The field of biosciences have advanced to a larger extent and have generated large amounts of information from Electronic Health Records. This have given rise to the acute need of knowledge generation from this enormous amount of data. Data mining methods and machine learning play a major role in this aspect of biosciences. Chronic Kidney Disease(CKD) is a condition in which the kidneys are damaged and cannot filter blood as they always do. A family history of kidney diseases or failure, high blood pressure, type 2 diabetes may lead to CKD. This is a lasting damage to the kidney and chances of getting worser by time is high. The very common complications that results due to a kidney failure are heart diseases, anemia, bone diseases, high potasium and calcium. The worst case situation leads to complete kidney failure and necessitates kidney transplant to live. An early detection of CKD can improve the quality of life to a greater extent. This calls for good prediction algorithm to predict CKD at an earlier stage . Literature shows a wide range of machine learning algorithms employed for the prediction of CKD. This paper uses data preprocessing,data transformation and various classifiers to predict CKD and also proposes best Prediction framework for CKD. The results of the framework show promising results of better prediction at an early stage of CKD

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Use of the Kidney Failure Risk Equation to Determine the Risk of Progression to End-stage Renal Disease in Children With Chronic Kidney Disease

JAMA Pediatrics ◽

10.1001/jamapediatrics.2017.4083 ◽

2018 ◽

Vol 172 (2) ◽

pp. 174 ◽

Cited By ~ 16

Author(s):

Erica Winnicki ◽

Charles E. McCulloch ◽

Mark M. Mitsnefes ◽

Susan L. Furth ◽

Bradley A. Warady ◽

...

Keyword(s):

Chronic Kidney Disease ◽

Kidney Disease ◽

Renal Disease ◽

Kidney Failure ◽

End Stage Renal Disease ◽

Risk Equation ◽

Failure Risk ◽

Risk Of Progression ◽

Stage Renal Disease ◽

End Stage

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Chronic Kidney Disease in Cameroon: A scoping review

10.21203/rs.3.rs-33238/v1 ◽

2020 ◽

Author(s):

Jerry Brown Aseneh ◽

Ben-Lawrence A. Kemah ◽

Stephane Mabouna ◽

Njang Mbeng Emmanuel ◽

Domin Sone Majunda Ekane ◽

...

Keyword(s):

Diabetes Mellitus ◽

Chronic Kidney Disease ◽

Human Immunodeficiency Virus ◽

Kidney Disease ◽

Scoping Review ◽

Associated Factors ◽

Treatment Cost ◽

Advanced Age ◽

High Morbidity ◽

Immunodeficiency Virus

Abstract ObjectivesThis scoping review sought to summarize available data on the prevalence, associated factors, etiology, comorbidities, treatment, cost, and mortality of chronic kidney disease (CKD) in Cameroon.MethodsWe searched PubMed, Scopus and African Journals Online from database inception to 31 March, 2020 to identify all studies published on the prevalence, associated factors, etiology, comorbidities, treatment, cost and mortality of CKD in Cameroon.ResultsThirty studies were included. The population prevalence of CKD varied from 3-14.1% and 10.0%-14.2% in rural and urban areas, respectively. The prevalence of CKD in patients with hypertension, diabetes mellitus, and human immunodeficiency virus was 12.4-50.0%, 18.5%, and 3.0-47.2%, respectively. Hypertension (22.3-59.1%), chronic glomerulonephritis (15.8-56.2%), and diabetes mellitus (15.8-56.2%) were the most common causes of CKD. The cause was unknown in 13.5-17.0% of the cases. Advanced age, hypertension, diabetes mellitus, and obesity were frequent associated factors. Hemodialysis was the main treatment modality in patients with End Stage Renal Disease (ESRD). The monthly cost of management of non-dialyzed CKD was 163 US dollars. The one-year mortality rate of ESRD was 26.8-38.6%.ConclusionChronic kidney disease in affects about one in ten adults in the general population in Cameroon Patients with hypertension, diabetes mellitus, and human immunodeficiency virus bear the greatest burden of CKD in Cameroon. Advanced age, hypertension, diabetes mellitus, and obesity are major factors associated with CKD. Chronic kidney disease in Cameroon is associated with high morbidity and mortality and huge economic cost on the patient.

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