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Efficacy of eHealth Interventions for Hemodialysis Patients: Systematic Review and Meta-Analysis

Efficacy of eHealth Interventions for Hemodialysis Patients: Systematic Review and Meta-Analysis

End-stage renal disease (ESRD), which arises as a consequence of the progression of chronic kidney disease (CKD), is a condition that affects millions globally and is recognized as one of the most widespread and significant chronic diseases [1-3]. Hemodialysis (HD), the primary modality of renal replacement therapy for advanced kidney failures, plays a crucial role in mitigating the otherwise inevitable progressive decline in kidney function [4].

Xu-Hua Zhou, Hui Chen, Weiwei Yang, Li Wang, Lin Chen, Ying Zhu, Yingjun Zhang, Mei Shi, Qin Zhang

J Med Internet Res 2025;27:e67246


Machine Learning to Assist in Managing Acute Kidney Injury in General Wards: Multicenter Retrospective Study

Machine Learning to Assist in Managing Acute Kidney Injury in General Wards: Multicenter Retrospective Study

AKI: acute kidney injury; AKD: acute kidney disease. Serum creatinine trends in patients with AKI from the external validation cohort. (A) Results for 2509 patients who meet only the previous AKI criteria. (B) Results for 2898 patients who meet the refined AKI criteria. The blue line represents the median value for patients of each group, while the pink bar graph shows the proportion of serum creatinine measurements across all patients within 7 days before and after the day of acute kidney injury (day 0).

Nam-Jun Cho, Inyong Jeong, Se-Jin Ahn, Hyo-Wook Gil, Yeongmin Kim, Jin-Hyun Park, Sanghee Kang, Hwamin Lee

J Med Internet Res 2025;27:e66568


Risk Stratification in Immunoglobulin A Nephropathy Using Network Biomarkers: Development and Validation Study

Risk Stratification in Immunoglobulin A Nephropathy Using Network Biomarkers: Development and Validation Study

This model primarily focuses on traditional kidney-related indicators, such as the Oxford classification, treatment regimens, proteinuria, and blood pressure, and has been validated for prognostic accuracy by other research groups [13,14].

Jiaxing Tan, Rongxin Yang, Liyin Xiao, Lingqiu Dong, Zhengxia Zhong, Ling Zhou, Wei Qin

J Med Internet Res 2025;27:e65563


Effectiveness of Electronic Quality Improvement Activities to Reduce Cardiovascular Disease Risk in People With Chronic Kidney Disease in General Practice: Cluster Randomized Trial With Active Control

Effectiveness of Electronic Quality Improvement Activities to Reduce Cardiovascular Disease Risk in People With Chronic Kidney Disease in General Practice: Cluster Randomized Trial With Active Control

This is critically important for people at risk of, or with, chronic diseases such as chronic kidney disease (CKD), where early detection and management have the potential to reduce disease progression and the development of complications, improve quality of life, and reduce the burden on the health care system [4]. CKD is a common condition, primarily managed in the general practice setting, that is defined as kidney damage reduced function, or both present for at least 3 months [5].

Jo-Anne Manski-Nankervis, Barbara Hunter, Natalie Lumsden, Adrian Laughlin, Rita McMorrow, Douglas Boyle, Patty Chondros, Shilpanjali Jesudason, Jan Radford, Megan Prictor, Jon Emery, Paul Amores, An Tran-Duy, Craig Nelson

JMIR Form Res 2025;9:e54147


Effects of Virtual Care on Patient and Provider Experience of the Clinical Encounter: Qualitative Hermeneutic Study

Effects of Virtual Care on Patient and Provider Experience of the Clinical Encounter: Qualitative Hermeneutic Study

The virtual kidney care (Tele-Kidney Care) program [15] is provided through Northern Health, the health authority that delivers health care across the region to 32 communities and 55 First Nations communities. The sparsely populated region covers an area of 617,271 square kilometers—approximately the size of France—with a population of about 300,000 [16]. The kidney care clinic is located in the regional center, a city with a population of 80,000.

Graham McCaffrey, Erin Wilson, Lela V Zimmer, Anurag Singh, Steinunn Jonatansdottir, Peter Zimmer, David Snadden, Ian D Graham, Martha MacLeod

J Med Internet Res 2024;26:e52552


High Potassium Diet Rich in Spices and Herbs-Salt Substitution (HPSH-SS) for Blood Pressure Reduction in Older Adults: Protocol for Diet Concept and Randomized Controlled Trial

High Potassium Diet Rich in Spices and Herbs-Salt Substitution (HPSH-SS) for Blood Pressure Reduction in Older Adults: Protocol for Diet Concept and Randomized Controlled Trial

The kidney is the main regulator of Na and K in the blood. High K intake stimulates gastrointestinal signaling, specifically enteric K sensors, which increases plasma K levels and aldosterone directly. Aldosterone stimulates the aldosterone-sensitive distal nephron (ASDN) and the renal outer medullary potassium channel (ROMK), which triggers a decrease in salt and water absorption, causing diuresis and natriuresis.

Farapti Farapti, Sheila Amara Putri, Annisaa Wulida Furqonia, Purwo Sri Rejeki, Muhammad Miftahussurur

JMIR Res Protoc 2024;13:e56869


Interactive Health Technology Tool for Kidney Living Donor Assessment to Standardize the Informed Consent Process: Usability and Qualitative Content Analysis

Interactive Health Technology Tool for Kidney Living Donor Assessment to Standardize the Informed Consent Process: Usability and Qualitative Content Analysis

The Health Village, developed by Finnish university hospitals, includes specific hubs like the Kidney Hub for individuals with kidney disease [11]. In December 2018, Helsinki University Hospital launched the Living Kidney Donor Digital Care Path (LD-dcp) in the Kidney Hub. LD-dcp, exclusively available to those considering kidney donation, aims to increase the number of donors by offering standardized information, secure messaging pathways, and teleconsultation options.

Fernanda Ortiz, Juulia Grasberger, Agneta Ekstrand, Ilkka Helanterä, Guido Giunti

JMIR Form Res 2024;8:e47785


Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study

Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study

Acute kidney injury (AKI) is associated with a mortality rate of 40%‐70% in hospitalized patients who develop AKI and causes significant kidney damage even after recovery, leading to dialysis, longer hospital stays, and increased costs of care [1-4]. Early detection of AKI increases the likelihood of AKI prevention, associated morbidity, and costs [5].

Suncheol Heo, Eun-Ae Kang, Jae Yong Yu, Hae Reong Kim, Suehyun Lee, Kwangsoo Kim, Yul Hwangbo, Rae Woong Park, Hyunah Shin, Kyeongmin Ryu, Chungsoo Kim, Hyojung Jung, Yebin Chegal, Jae-Hyun Lee, Yu Rang Park

JMIR Med Inform 2024;12:e47693


Electronic Health Record–Oriented Knowledge Graph System for Collaborative Clinical Decision Support Using Multicenter Fragmented Medical Data: Design and Application Study

Electronic Health Record–Oriented Knowledge Graph System for Collaborative Clinical Decision Support Using Multicenter Fragmented Medical Data: Design and Application Study

Patients with at least one decreased kidney function test result were included in the cohort. Patients who had either a nephrology visit or a kidney disease diagnosis record during the observation period were excluded. The EHR data, initially in the OMOP CDM format, were converted into the local EHR knowledge graph system.

Yong Shang, Yu Tian, Kewei Lyu, Tianshu Zhou, Ping Zhang, Jianghua Chen, Jingsong Li

J Med Internet Res 2024;26:e54263


Tailoring Educational Materials to Cultural Context Matters

Tailoring Educational Materials to Cultural Context Matters

I have read with immense interest the article published by Sarker and colleagues [1] titled “Chronic Kidney Disease Awareness Campaign and Mobile Health Education to Improve Knowledge, Quality of Life, and Motivation for a Healthy Lifestyle Among Patients With Chronic Kidney Disease in Bangladesh: Randomized Controlled Trial.”

Sasha Zaki

J Med Internet Res 2023;25:e42604