Detecting Lifestyle Risk Factors for Chronic Kidney Disease With Comorbidities: Association Rule Mining Analysis of Web-Based Survey Data

Adropin a candidate diagnostic biomarker for cardiovascular disease in patients with chronic kidney disease

BACKGROUND

Chronic kidney disease (CKD) is a chief worldwide health concern that has a substantial financial impact on health systems, high rates of mortality and morbidity as well as cardiovascular disease (CVD) is a major cause of mortality in this population. Adropin is a unique hormone encoded by the energy homeostasis-associated (Enho) gene.

AIM OF THE WORK

We aimed to explore the efficacy of adropin as a diagnostic candidate biomarker for CVD in patients with CKD.

METHODS

This is prospective study was carried out on 60 patients (Pt) with CKD and 30 age and sex matched healthy control subjects. CKD Pt were classified according to the history of CVD into two groups: Group A, Pt without history (n = 32) and Group B, Pt with history (n = 28). Serum adropin, lipids and Hs-CRP were measured by ELISA kit. Echocardiography was also investigated. Receiver operator characteristic curve (ROC) was used to determine cut-off points of adropin. Negative predict value (NPV), negative predict value (NPV) and area under curve were detected.

RESULTS

There were abnormal ECGs in 78.6 % of CKD patients. Adropin was significantly decreased in Group B than Group A and control group. On the other hand, serum lipids and Hs-CRP were significantly increased in Group B than Group A and control group. ROC analysis revealed that serum adropin could be used to discriminate between patients with and without CVD history at a cutoff level of > 304 with 46.4 % sensitivity and 84.4 % specificity, 74.8 % PPV, 61.2 % NPV and AUC = 0.57. Moreover, between Group A and control at a cutoff level of < 410, with 93.8 % sensitivity, 86.7 % specificity, 87.6 % PPV and 93.3 % NPV and AUC = 0.97 as well as between Group B and control group at a cutoff level of < 416, with 57.1 % sensitivity, 83.3 % specificity, 77.4 % PPV and 66 % NPV and AUC = 0.65.

CONCLUSION

Particularly in CKD patients, adropin may be a useful biomarker for predicting the onset of CVD. Adropin may represent a novel and useful blood marker for assessing systolic function and Spontaneous coronary artery dissection (SCAD).

Does the Nutritional Intake and Diet Quality of Children With Chronic Kidney Disease Differ From Healthy Controls? A Comprehensive Evaluation

OBJECTIVE

Children with chronic kidney disease (CKD) experience many obstacles to achieving optimal dietary intake. Dietary intake patterns remain unexplored or poorly described. This study compares nutritional intake and diet quality of Australian children with CKD to controls.

METHODS

A food frequency questionnaire captured intake data and was compared to controls. Nutritional intake was determined using individualized nutrient reference values, and diet quality described using the Australian Guide to Healthy Eating and the Australian Child and Adolescent Recommended Food Score.

RESULTS

Children with CKD (n = 36) and controls (n = 82) were studied. Children with CKD had lower weight and height z scores, but higher body mass index (P < .0001 for all parameters). Children with CKD had adequate energy intake, and excessive protein and sodium intake (336% and 569%). They were significantly less likely to meet requirements for vitamin A (P < .001), thiamine (P = .006), folate (P = .01), vitamin C (P = .008), calcium (P < .0001), iron (P = .01), magnesium (P = .0009), and potassium (P = .002). No child met recommended vegetable intake; however, less than half of children with CKD met fruit (44%), grains (31%), and dairy serves (31%). They were also less likely to meet recommended fruit and dairy serves (P = .04 and P = .01, respectively). Non-core foods provided 36% of energy, and although comparable to controls, was contributed more by takeaway foods (P = .01).

CONCLUSION

Children with CKD have reduced nutritional intake of key nutrients and consume more takeaways than controls. Attention to increasing core foods, limiting sodium intake, and managing restrictions while promoting nutrient density appears necessary.

'Self-Management Intervention through Lifestyle Education for Kidney health' (the SMILE-K study): protocol for a single-blind longitudinal randomised controlled trial with nested pilot study

INTRODUCTION

Many people living with chronic kidney disease (CKD) are expected to self-manage their condition. Patient activation is the term given to describe the knowledge, skills and confidence a person has in managing their own health and is closely related to the engagement in preventive health behaviours. Self-management interventions have the potential to improve remote disease management and health outcomes. We are testing an evidence-based and theory-based digital self-management structured 10-week programme developed for peoples with CKD called 'My Kidneys & Me'. The primary aim of the study (Self-Management Intervention through Lifestyle Education for Kidney health (SMILE-K)) is to assess the effect on patient activation levels.

METHODS AND ANALYSIS

A single-blind randomised controlled trial (RCT) with a nested pilot study will assess the feasibility of the intervention and study design before continuation to a full RCT. Individuals aged 18 years or older, with established CKD stage 3-4 (eGFR of 15-59 mL/min/1.73 m2) will be recruited through both primary and secondary care pathways. Participants will be randomised into two groups: intervention group (receive My Kidneys & Me in addition to usual care) and control group (usual care). The primary outcome of the nested pilot study is feasibility and the primary outcome of the full RCT is the Patient Activation Measu (PAM-13). The full RCT will assess the effect of the programme on online self-reported outcomes which will be assessed at baseline, after 10 weeks, and then after 20 weeks in both groups. A total sample size of N=432 participants are required based on a 2:1 randomisation. A substudy will measure physiological changes (eg, muscle mass, physical function) and patient experience (qualitative semi-structured interviews).

ETHICS AND DISSEMINATION

This study was fully approved by the Research Ethics Committee-Leicester South on the 19 November 2020 (reference: 17/EM/0357). All participants are required to provide informed consent obtained online. The results are expected to be published in scientific journals and presented at clinical research conferences. This is protocol version 1.0 dated 27 January 2021.

TRIAL REGISTRATION NUMBER

ISRCTN18314195.

Lifestyle-Related Risk Factors for the Incidence and Progression of Chronic Kidney Disease in the Healthy Young and Middle-Aged Population

The prevalence of chronic kidney disease (CKD) increased by 88% from 1990 to 2016. Age of onset of lifestyle-related diseases (such as hypertension, diabetes mellitus, obesity, dyslipidemia, and hyperuricemia), which are risk factors for incident CKD, is lower now compared with the past. Thus, we aimed to evaluate the risk factors for the incidence and progression of CKD in the young and middle-aged population. There are differences in the risk for CKD among the young, middle-aged, and elderly populations. We aimed to assess obesity (which is basic component of metabolic syndrome), waist circumference, and abdominal adiposity, which are predictive factors of CKD in the younger population. Furthermore, we described the management and clinical evidence of hypertension, diabetes mellitus, dyslipidemia, and hyperuricemia for young and middle-aged patients, along with diet management and nutrients associated with kidney function. Kidney function in the young and middle-aged population is mostly normal, and they are considered a low-risk group for incident CKD. Thus, we expect this review to be useful in reducing the prevalence of CKD.

Comparison of trend in chronic kidney disease burden between China, Japan, the United Kingdom, and the United States

Chronic kidney disease (CKD) caused heavy burden globally. This study aimed to investigate the patterns and temporal variations in the burden of CKD in China, Japan, the United Kingdom (U.K.), and the United States (U.S.) from 1990 to 2019, and decompose the difference in CKD disease burden between 1990 and 2019 into demographic factors. From 1990 to 2019, although the age-standardized rate (ASR) of incidence remained stable in the four countries, and the ASR of mortality and disability-adjusted life years (DALY) have declined in four countries (except for the increase in U.S.), the number of CKD incidence, death, and DALY increased significantly. The average disease burden per case in U.S. has increased between 1990 and 2019, with an increasing proportion of death-related disease burden. For the CKD due to diabetes and hypertension, whose incidences accounted for < 25% of the total CKD, while it accounts for more than 70% of the deaths (except in U.K. with 54.14% in women and 51.75% in men). CKD due to diabetes and hypertension should be the focus of CKD prevention and control. Considering the high treatment costs of CKD and ESRD, it is urgent and necessary to transform CKD treatment into primary and secondary prevention.

Experiences and disease self-management in individuals living with chronic kidney disease: qualitative analysis of the National Kidney Foundation's online community

Background

Self-management of chronic kidney disease (CKD) is one of the keys in improving CKD outcomes and quality of life. There has been an increased use of online health communities to share the experiences of those living with CKD. By analyzing the CKD online forum data, this study aims to: 1) understand the experiences and challenges of individuals living with CKD, and 2) explore how online communities may help CKD patients in improving CKD self-management.

Methods

Publicly available posts of peer interactions on the National Kidney Foundation’s online community for individuals affected by CKD were extracted in April 2021 using computer programming. A total of 20,436 posts were collected, of which 400 posts were analyzed using inductive thematic analysis, and saturation was reached. Two researchers coded each post independently, and discrepancies were discussed to reach consensus.

Results

The analysis identified seven themes: 1) Dynamics of CKD status, 2) CKD comorbidities, 3) Managing CKD and symptoms, 4) Life participation and outlook; 5) Navigating healthcare and clinical needs, 6) Medical tests and results; and 7) Support on the forum. The results revealed that comorbidities were common in CKD patients and early-stage CKD was not communicated in a timely manner to patients by the health care community; living with CKD challenged both CKD and caregivers; some common challenges included but were not limited to the management of a diet for CKD and co-morbidities (especially co-morbid diabetes), CKD dynamics and symptoms, and fear of/ways to prevent progression. Individuals living with CKD primarily used the online forum to share and seek information and emotional support for managing CKD (including co-morbidities).

Conclusions

Challenges of living with CKD were found not only in those with advanced kidney disease and those on dialysis, but also in those with early and middle stages. Information and emotional support from the online forum serve as a platform to empower CKD individuals with the knowledge, skills and confidence for CKD self-management. Proactive and innovative strategies with a combination of virtual and real settings to improve self-management for individuals with all-stage CKD needs to be explored and tailored.

Another Look at Obesity Paradox in Acute Ischemic Stroke: Association Rule Mining

Though obesity is generally associated with the development of cardiovascular disease (CVD) risk factors, previous reports have also reported that obesity has a beneficial effect on CVD outcomes. We aimed to verify the existing obesity paradox through binary logistic regression (BLR) and clarify the paradox via association rule mining (ARM). Patients with acute ischemic stroke (AIS) were assessed for their 3-month functional outcome using the modified Rankin Scale (mRS) score. Predictors for poor outcome (mRS 3–6) were analyzed through BLR, and ARM was performed to find out which combination of risk factors was concurrently associated with good outcomes using maximal support, confidence, and lift values. Among 2580 patients with AIS, being obese (OR [odds ratio], 0.78; 95% CI, 0.62–0.99) had beneficial effects on the outcome at 3 months in BLR analysis. In addition, the ARM algorithm showed obese patients with good outcomes were also associated with an age less than 55 years and mild stroke severity. While BLR analysis showed a beneficial effect of obesity on stroke outcome, in ARM analysis, obese patients had a relatively good combination of risk factor profiles compared to normal BMI patients. These results may partially explain the obesity paradox phenomenon in AIS patients.

Diagnosis and Treatment Rules of Chronic Kidney Disease and Nursing Intervention Models of Related Mental Diseases Using Electronic Medical Records and Data Mining

Objective

On the basis of electronic medical records, the data mining technology was adopted to explore the law of chronic kidney disease (CKD) and the intervention mode of mental health of patients.

Methods

Based on the electronic medical records, the corresponding data extraction, database establishment, and data cleaning of CKD were performed. After that, the related data analysis, frequency analysis, cluster analysis, and nonparametric analysis were used to explore the laws of CKD diagnosis and treatment and nursing intervention mode of mental illness. The most common causes of CKD were chronic glomerulonephritis (43.76%), aristolochic acid nephritis (16.34%), diabetic nephritis (12.87%), and hypertensive nephritis (11.58%). The major treatment method for end-stage patients was alternative therapies, accounting for 46%. Compared with the depression score before intervention, that of the patients after the mindfulness therapy (50.99 ± 9.77 vs. 47.01 ± 9.33, P=0.024 < 0.5) and target behaviour nursing intervention (52.21 ± 8.12 vs. 48.01 ± 9.33, P=0.032 < 0.05) was obviously decreased.

Conclusion

The data mining technology based on electronic records showed a good application prospect in the analysis of the diagnosis and treatment of CKD; and target behaviour nursing and mindfulness intervention were effective psychological intervention models.

Health Education Through a Campaign and mHealth to Enhance Knowledge and Quality of Life Among Patients With Chronic Kidney Disease in Bangladesh: Protocol for a Randomized Controlled Trial

Background

Despite the growing burden of chronic kidney disease (CKD), disease knowledge and understanding are still lacking, especially in Bangladesh.

Objective

The aim of this study was to evaluate the outcome of a health education intervention in order to enhance knowledge, health-related quality of life (QOL), and motivation regarding healthy lifestyles among rural and periurban adults suffering from CKD.

Methods

A parallel-group (1:1) randomized controlled trial is ongoing in the Mirzapur subdistrict, Bangladesh, where two groups of patients with CKD are being compared. Patients aged 18 years and over with CKD (stages 1-3) were enrolled in November 2020. Patients were randomly allocated into either the intervention group (n=63) or the control group (n=63). The control group received usual treatment, while the intervention group received health education through a CKD campaign facilitated by a nephrologist and via mHealth (ie, periodic mobile phone calls) from community health workers. Both groups were followed up for a period of 6 months. The primary endpoint is patients’ increased knowledge measured using the Chronic Kidney Disease Knowledge Questionnaire. The secondary endpoints are improved QOL measured using the standardized EuroQol 5-Dimension 5-Level (EQ-5D-5L) questionnaire as well as improvements in the levels of blood pressure, BMI, serum creatinine, fasting blood sugar, hemoglobin, cholesterol, high-density lipoprotein cholesterol, triglyceride, serum uric acid, blood urea nitrogen, and albumin to creatinine ratio.

Results

Enrollment of participants began in November 2020; the intervention and follow-up were completed in May 2021. We enrolled 126 patients in the study. Patients’ mean ages were 57.97 (SD 15.03) years in the control group and 57.32 (SD 14.37) years in the intervention group. There were 45 out of 63 (71%) females in the control group and 38 out of 63 (60%) females in the intervention group. In addition, there were 38 out of 63 (60%) literate patients in the control group and 33 out of 63 (52%) literate patients in the intervention group.

Conclusions

It is expected that a combined approach, incorporating both a CKD campaign and mHealth, for health education may be an effective tool for increasing knowledge and improving QOL among patients with CKD.

Trial Registration

ClinicalTrials.gov NCT04094831; https://clinicaltrials.gov/ct2/show/NCT04094831

International Registered Report Identifier (IRRID)

DERR1-10.2196/30191

Epidemiological Characterization of a Directed and Weighted Disease Network Using Data From a Cohort of One Million Patients: Network Analysis

Background

In the past 20 years, various methods have been introduced to construct disease networks. However, established disease networks have not been clinically useful to date because of differences among demographic factors, as well as the temporal order and intensity among disease-disease associations.

Objective

This study sought to investigate the overall patterns of the associations among diseases; network properties, such as clustering, degree, and strength; and the relationship between the structure of disease networks and demographic factors.

Methods

We used National Health Insurance Service-National Sample Cohort (NHIS-NSC) data from the Republic of Korea, which included the time series insurance information of 1 million out of 50 million Korean (approximately 2%) patients obtained between 2002 and 2013. After setting the observation and outcome periods, we selected only 520 common Korean Classification of Disease, sixth revision codes that were the most prevalent diagnoses, making up approximately 80% of the cases, for statistical validity. Using these data, we constructed a directional and weighted temporal network that considered both demographic factors and network properties.

Results

Our disease network contained 294 nodes and 3085 edges, a relative risk value of more than 4, and a false discovery rate-adjusted P value of <.001. Interestingly, our network presented four large clusters. Analysis of the network topology revealed a stronger correlation between in-strength and out-strength than between in-degree and out-degree. Further, the mean age of each disease population was related to the position along the regression line of the out/in-strength plot. Conversely, clustering analysis suggested that our network boasted four large clusters with different sex, age, and disease categories.

Conclusions

We constructed a directional and weighted disease network visualizing demographic factors. Our proposed disease network model is expected to be a valuable tool for use by early clinical researchers seeking to explore the relationships among diseases in the future.