1
|
Lindeback R, Abdo R, Schnabel L, Le Jambre R, Kennedy SE, Katz T, Ooi CY, Lambert K. Does the Nutritional Intake and Diet Quality of Children With Chronic Kidney Disease Differ From Healthy Controls? A Comprehensive Evaluation. J Ren Nutr 2024; 34:283-293. [PMID: 38128854 DOI: 10.1053/j.jrn.2023.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 10/09/2023] [Accepted: 12/10/2023] [Indexed: 12/23/2023] Open
Abstract
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.
Collapse
Affiliation(s)
- Rachel Lindeback
- Department of Nutrition and Dietetics, St George Hospital, Sydney, New South Wales, Australia.
| | - Rasha Abdo
- Nutrition and Dietetics, University of Wollongong, School of Medical, Indigenous and Health Sciences, Wollongong, New South Wales, Australia
| | - Lyndal Schnabel
- Nutrition and Dietetics, University of Wollongong, School of Medical, Indigenous and Health Sciences, Wollongong, New South Wales, Australia
| | - Renee Le Jambre
- Department of Nutrition and Dietetics, Sydney Children's Hospital Network, Randwick, Sydney, New South Wales, Australia
| | - Sean E Kennedy
- Department of Nutrition and Dietetics, Sydney Children's Hospital Network, Randwick, Sydney, New South Wales, Australia
| | - Tamarah Katz
- Department of Nutrition and Dietetics, Sydney Children's Hospital Network, Randwick, Sydney, New South Wales, Australia
| | - Chee Y Ooi
- Discipline of Paediatrics and Child Health, University of New South Wales, School of Clinical Medicine, Discipline of Paediatrics and Child Health, UNSW Medicine and Health, Sydney, New South Wales, Australia
| | - Kelly Lambert
- Nutrition and Dietetics, University of Wollongong, School of Medical, Indigenous and Health Sciences, Wollongong, New South Wales, Australia
| |
Collapse
|
2
|
Eisenga MF, Mayer G, Pirklbauer M, Provenzano M. Editorial: Personalized medicine in CKD patients. FRONTIERS IN NEPHROLOGY 2023; 3:1270382. [PMID: 37675370 PMCID: PMC10479680 DOI: 10.3389/fneph.2023.1270382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 08/07/2023] [Indexed: 09/08/2023]
Affiliation(s)
- Michele F. Eisenga
- Division of Nephrology, Department of Internal Medicine, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Gert Mayer
- Department of Internal Medicine IV - Nephrology and Hypertension, Medical University Innsbruck, Innsbruck, Austria
| | - Markus Pirklbauer
- Department of Internal Medicine IV - Nephrology and Hypertension, Medical University Innsbruck, Innsbruck, Austria
| | - Michele Provenzano
- Nephrology, Dialysis and Renal Transplant Unit, Scientific Institute for Research, Hospitalization and Healthcare-Azienda Ospedaliero-Universitaria di Bologna, Alma Mater Studiorum University of Bologna, Bologna, Italy
| |
Collapse
|
3
|
Safety of coil embolisation in small (smaller than 5 mm) unruptured intracranial aneurysms: A retrospective multicentre analysis. INTERDISCIPLINARY NEUROSURGERY 2023. [DOI: 10.1016/j.inat.2022.101678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
|
4
|
Chen F, Pongpirul K. Rethink nutritional management in chronic kidney disease care. FRONTIERS IN NEPHROLOGY 2023; 3:1108842. [PMID: 37675377 PMCID: PMC10479564 DOI: 10.3389/fneph.2023.1108842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Accepted: 01/02/2023] [Indexed: 09/08/2023]
Affiliation(s)
- Fangyue Chen
- Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Thailand Public Health Research Fellowship, Health Education England, Leeds, United Kingdom
- School of Public Health, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Krit Pongpirul
- Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
- Clinical Research Center, Bumrungrad International Hospital, Bangkok, Thailand
| |
Collapse
|
5
|
Lightfoot CJ, Wilkinson TJ, Yates T, Davies MJ, Smith AC. '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. BMJ Open 2022; 12:e064916. [PMID: 36385018 PMCID: PMC9670928 DOI: 10.1136/bmjopen-2022-064916] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2023] Open
Abstract
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.
Collapse
Affiliation(s)
- Courtney J Lightfoot
- Department of Health Sciences, University of Leicester, Leicester, UK
- Leicester NIHR Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| | - Thomas J Wilkinson
- NIHR Applied Research Collaboration East Midlands, Leicester Diabetes Centre, Leicester, UK
| | - Thomas Yates
- Leicester NIHR Biomedical Research Centre, Leicester General Hospital, Leicester, UK
- Diabetes Reseach Centre, Leicester General Hospital, Leicester, UK
| | - Melanie J Davies
- Leicester NIHR Biomedical Research Centre, Leicester General Hospital, Leicester, UK
- Diabetes Reseach Centre, Leicester General Hospital, Leicester, UK
| | - Alice C Smith
- Department of Health Sciences, University of Leicester, Leicester, UK
- Leicester NIHR Biomedical Research Centre, Leicester General Hospital, Leicester, UK
| |
Collapse
|
6
|
Kuma A, Kato A. Lifestyle-Related Risk Factors for the Incidence and Progression of Chronic Kidney Disease in the Healthy Young and Middle-Aged Population. Nutrients 2022; 14:nu14183787. [PMID: 36145162 PMCID: PMC9506421 DOI: 10.3390/nu14183787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 09/10/2022] [Accepted: 09/11/2022] [Indexed: 11/16/2022] Open
Abstract
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.
Collapse
Affiliation(s)
- Akihiro Kuma
- Kidney Center, Hospital of the University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu 807-8556, Fukuoka, Japan
| | - Akihiko Kato
- Blood Purification Unit, Hamamatsu University Hospital, 1-20-1 Handayama, Higashi-ku, Hamamatsu 431-3125, Shizuoka, Japan
- Correspondence:
| |
Collapse
|
7
|
Wen H, Yang D, Xie C, Shi F, Liu Y, Zhang J, Yu C. Comparison of trend in chronic kidney disease burden between China, Japan, the United Kingdom, and the United States. Front Public Health 2022; 10:999848. [PMID: 36159316 PMCID: PMC9499831 DOI: 10.3389/fpubh.2022.999848] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Accepted: 08/08/2022] [Indexed: 01/26/2023] Open
Abstract
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.
Collapse
Affiliation(s)
- Haoyu Wen
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Donghui Yang
- Department of Preventive Medicine, School of Health Sciences, Wuhan University, Wuhan, China
| | - Cong Xie
- Institute of Preventive Medicine Information, Hubei Provincial Center for Disease Control and Prevention, Wuhan, China
| | - Fang Shi
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Yan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China
| | - Jiaming Zhang
- Department of Pathology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Chuanhua Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Wuhan University, Wuhan, China,China Global Health Institute, Wuhan University, Wuhan, China,*Correspondence: Chuanhua Yu
| |
Collapse
|
8
|
Du Y, Dennis B, Ramirez V, Li C, Wang J, Meireles CL. Experiences and disease self-management in individuals living with chronic kidney disease: qualitative analysis of the National Kidney Foundation's online community. BMC Nephrol 2022; 23:88. [PMID: 35246060 PMCID: PMC8894554 DOI: 10.1186/s12882-022-02717-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Accepted: 02/24/2022] [Indexed: 12/20/2022] Open
Abstract
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.
Collapse
Affiliation(s)
- Yan Du
- Center on Smart and Connected Health Technology, School of Nursing, UT Health San Antonio, 7703 Floyd Curl Dr, San Antonio, TX, 78229, USA.
| | - Brittany Dennis
- Center on Smart and Connected Health Technology, School of Nursing, UT Health San Antonio, 7703 Floyd Curl Dr, San Antonio, TX, 78229, USA
| | - Valerie Ramirez
- Center on Smart and Connected Health Technology, School of Nursing, UT Health San Antonio, 7703 Floyd Curl Dr, San Antonio, TX, 78229, USA
| | - Chengdong Li
- College of Nursing, Florida State University, Tallahassee, Florida, USA
| | - Jing Wang
- College of Nursing, Florida State University, Tallahassee, Florida, USA
| | | |
Collapse
|
9
|
Kim PJ, Kim C, Lee SH, Shon JH, Kwon Y, Kim JH, Kim DK, Yu H, Ahn HJ, Jeon JP, Kim Y, Lee JJ. Another Look at Obesity Paradox in Acute Ischemic Stroke: Association Rule Mining. J Pers Med 2021; 12:jpm12010016. [PMID: 35055331 PMCID: PMC8781183 DOI: 10.3390/jpm12010016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 12/09/2021] [Accepted: 12/14/2021] [Indexed: 11/25/2022] Open
Abstract
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.
Collapse
Affiliation(s)
- Pum-Jun Kim
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Korea; (P.-J.K.); (S.-H.L.); (J.-H.S.); (Y.K.); (J.-H.K.); (D.-K.K.); (H.Y.); (H.-J.A.); (J.-P.J.); (Y.K.); (J.-J.L.)
| | - Chulho Kim
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Korea; (P.-J.K.); (S.-H.L.); (J.-H.S.); (Y.K.); (J.-H.K.); (D.-K.K.); (H.Y.); (H.-J.A.); (J.-P.J.); (Y.K.); (J.-J.L.)
- Department of Neurology, Chuncheon Sacred Heart Hospital, Chuncheon 24253, Korea
- Correspondence: ; Tel.: +82-33-240-5255; Fax: +82-33-255-6244
| | - Sang-Hwa Lee
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Korea; (P.-J.K.); (S.-H.L.); (J.-H.S.); (Y.K.); (J.-H.K.); (D.-K.K.); (H.Y.); (H.-J.A.); (J.-P.J.); (Y.K.); (J.-J.L.)
- Department of Neurology, Chuncheon Sacred Heart Hospital, Chuncheon 24253, Korea
| | - Jong-Hee Shon
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Korea; (P.-J.K.); (S.-H.L.); (J.-H.S.); (Y.K.); (J.-H.K.); (D.-K.K.); (H.Y.); (H.-J.A.); (J.-P.J.); (Y.K.); (J.-J.L.)
- Department of Neurology, Chuncheon Sacred Heart Hospital, Chuncheon 24253, Korea
| | - Youngsuk Kwon
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Korea; (P.-J.K.); (S.-H.L.); (J.-H.S.); (Y.K.); (J.-H.K.); (D.-K.K.); (H.Y.); (H.-J.A.); (J.-P.J.); (Y.K.); (J.-J.L.)
- Department of Anesthesiology and Pain Medicine, Chuncheon Sacred Heart Hospital, Chuncheon 24253, Korea
| | - Jong-Ho Kim
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Korea; (P.-J.K.); (S.-H.L.); (J.-H.S.); (Y.K.); (J.-H.K.); (D.-K.K.); (H.Y.); (H.-J.A.); (J.-P.J.); (Y.K.); (J.-J.L.)
- Department of Anesthesiology and Pain Medicine, Chuncheon Sacred Heart Hospital, Chuncheon 24253, Korea
| | - Dong-Kyu Kim
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Korea; (P.-J.K.); (S.-H.L.); (J.-H.S.); (Y.K.); (J.-H.K.); (D.-K.K.); (H.Y.); (H.-J.A.); (J.-P.J.); (Y.K.); (J.-J.L.)
- Department of Otorhinolaryngology-Head and Neck Surgery, Chuncheon Sacred Heart Hospital, Chuncheon 24253, Korea
| | - Hyunjae Yu
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Korea; (P.-J.K.); (S.-H.L.); (J.-H.S.); (Y.K.); (J.-H.K.); (D.-K.K.); (H.Y.); (H.-J.A.); (J.-P.J.); (Y.K.); (J.-J.L.)
- Chuncheon Artificial Intelligence Center, Chuncheon Sacred Heart Hospital, Chuncheon 24253, Korea
| | - Hyo-Jeong Ahn
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Korea; (P.-J.K.); (S.-H.L.); (J.-H.S.); (Y.K.); (J.-H.K.); (D.-K.K.); (H.Y.); (H.-J.A.); (J.-P.J.); (Y.K.); (J.-J.L.)
- Chuncheon Artificial Intelligence Center, Chuncheon Sacred Heart Hospital, Chuncheon 24253, Korea
| | - Jin-Pyeong Jeon
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Korea; (P.-J.K.); (S.-H.L.); (J.-H.S.); (Y.K.); (J.-H.K.); (D.-K.K.); (H.Y.); (H.-J.A.); (J.-P.J.); (Y.K.); (J.-J.L.)
- Department of Neurosurgery, Chuncheon Sacred Heart Hospital, Chuncheon 24253, Korea
| | - Youngmi Kim
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Korea; (P.-J.K.); (S.-H.L.); (J.-H.S.); (Y.K.); (J.-H.K.); (D.-K.K.); (H.Y.); (H.-J.A.); (J.-P.J.); (Y.K.); (J.-J.L.)
| | - Jae-Jun Lee
- Institute of New Frontier Research Team, Hallym University College of Medicine, Chuncheon 24252, Korea; (P.-J.K.); (S.-H.L.); (J.-H.S.); (Y.K.); (J.-H.K.); (D.-K.K.); (H.Y.); (H.-J.A.); (J.-P.J.); (Y.K.); (J.-J.L.)
- Department of Anesthesiology and Pain Medicine, Chuncheon Sacred Heart Hospital, Chuncheon 24253, Korea
| |
Collapse
|
10
|
Wang Y, Sun Y, Lu N, Feng X, Gao M, Zhang L, Dou Y, Meng F, Zhang K. Diagnosis and Treatment Rules of Chronic Kidney Disease and Nursing Intervention Models of Related Mental Diseases Using Electronic Medical Records and Data Mining. JOURNAL OF HEALTHCARE ENGINEERING 2021; 2021:5187837. [PMID: 34925735 PMCID: PMC8683225 DOI: 10.1155/2021/5187837] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Accepted: 10/20/2021] [Indexed: 11/22/2022]
Abstract
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.
Collapse
Affiliation(s)
- Yanli Wang
- Department of Mental Health, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yueyao Sun
- Department of Hepatobiliary Surgery, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Na Lu
- Department of Emergency, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Xuan Feng
- Department of Nephrology, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Minglong Gao
- Department of Mental Health, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Lihong Zhang
- Department of Nephrology, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yaping Dou
- Department of Respiratory Medicine, First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Fulei Meng
- Department of Nephrology, The First Hospital of Hebei Medical University, Shijiazhuang, China
| | - Kaidi Zhang
- Department of Nephrology, The First Hospital of Hebei Medical University, Shijiazhuang, China
| |
Collapse
|
11
|
Sarker MHR, Moriyama M, Rashid HU, Rahman MM, Chisti MJ, Das SK, Jahan Y, Saha SK, Arifeen SE, Ahmed T, Faruque ASG. 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. JMIR Res Protoc 2021; 10:e30191. [PMID: 34806998 PMCID: PMC8663577 DOI: 10.2196/30191] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 08/24/2021] [Accepted: 08/25/2021] [Indexed: 02/06/2023] Open
Abstract
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
Collapse
Affiliation(s)
| | - Michiko Moriyama
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Harun Ur Rashid
- Kidney Foundation Hospital and Research Institute, Dhaka, Bangladesh
| | - Md Moshiur Rahman
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | | | - Sumon Kumar Das
- Menzies - School of Health Research, Charles Darwin University, Darwin, Australia
| | - Yasmin Jahan
- Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Samir Kumar Saha
- Child Health Research Foundation, Dhaka Shishu Hospital, Dhaka, Bangladesh
| | | | - Tahmeed Ahmed
- Nutrition and Clinical Services Division, icddr,b, Dhaka, Bangladesh
| | - A S G Faruque
- Nutrition and Clinical Services Division, icddr,b, Dhaka, Bangladesh
| |
Collapse
|
12
|
Ko K, Lee CW, Nam S, Ahn SV, Bae JH, Ban CY, Yoo J, Park J, Han HW. Epidemiological Characterization of a Directed and Weighted Disease Network Using Data From a Cohort of One Million Patients: Network Analysis. J Med Internet Res 2020; 22:e15196. [PMID: 32271154 PMCID: PMC7180516 DOI: 10.2196/15196] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Revised: 10/08/2019] [Accepted: 01/24/2020] [Indexed: 11/25/2022] Open
Abstract
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.
Collapse
Affiliation(s)
- Kyungmin Ko
- Department of Biomedical Informatics, CHA University of Medicine, Seongnam, Republic of Korea.,Department of Pathology, Medstar Georgetown University Hospital, Washington, DC, WA, United States
| | - Chae Won Lee
- Department of Biomedical Informatics, CHA University of Medicine, Seongnam, Republic of Korea.,Institute of Basic Medical Sciences, School of Medicine, CHA University, Seongnam, Republic of Korea
| | - Sangmin Nam
- Department of Ophthalmology, CHA Bundang Medical Center, Seongnam, Republic of Korea
| | - Song Vogue Ahn
- Department of Health Convergence, Ewha Womans University, Seoul, Republic of Korea
| | - Jung Ho Bae
- Department of Internal Medicine, Healthcare Research Institute, Seoul National University Hospital Healthcare System Gangnam Center, Seoul, Republic of Korea
| | - Chi Yong Ban
- Department of Biomedical Informatics, CHA University of Medicine, Seongnam, Republic of Korea.,Institute of Basic Medical Sciences, School of Medicine, CHA University, Seongnam, Republic of Korea
| | - Jongman Yoo
- Institute of Basic Medical Sciences, School of Medicine, CHA University, Seongnam, Republic of Korea.,Department of Microbiology, CHA University School of Medicine, Seongnam, Republic of Korea
| | - Jungmin Park
- Department of Nursing, School of Nursing, Hanyang University, Seoul, Republic of Korea
| | - Hyun Wook Han
- Department of Biomedical Informatics, CHA University of Medicine, Seongnam, Republic of Korea.,Institute of Basic Medical Sciences, School of Medicine, CHA University, Seongnam, Republic of Korea
| |
Collapse
|