Self-management program for patients with chronic kidney disease (SMP-CKD) in Southern China: protocol for an ambispective cohort study

The association between hand grip strength and chronic kidney disease progression: insights from SMP-CKD studies

PURPOSE

This study aims to investigate the relationship between handgrip strength (HGS) and the progression of chronic kidney disease (CKD) in non-dialysis patients in China, as part of the Self-Management Program for Patients with CKD Cohort (SMP-CKD).

METHODS

In the SMP-CKD cohort, we utilized Cox regression and Kaplan-Meier survival analysis to explore the association between HGS and CKD progression. Data were stratified by sex-specific HGS quartiles, sarcopenia status, and HGS thresholds. The HGS thresholds were determined through curve analysis of HGS against composite renal outcomes. Group differences were compared to assess the impact of HGS on CKD outcomes.

RESULTS

A total of 441 participants (mean age 57.0 ± 17 years, 56.0% male) with CKD stages 3-5 from the SMP-CKD cohort who underwent grip strength evaluation between April 2019 and June 2024 were included in the analysis. The findings revealed that participants in the highest bilateral HGS quartile had a significantly lower risk of renal endpoints, with a hazard ratio (HR) of 0.102 (95% CI 0.041-0.255) compared to those in the lowest quartile. Patients without sarcopenia had a significantly lower risk of CKD composite outcomes, including increased serum creatinine or acute CKD exacerbations (HR 0.422, 95% CI 0.211-0.844, p < 0.012), as well as severe renal endpoints (HR 0.265, 95% CI 0.101-0.694, p < 0.003). Gender-specific cutoffs identified through log-rank test were 63.7 kg for men and 34.6 kg for women. Participants with bilateral HGS above these thresholds demonstrated better renal outcomes, underscoring the protective effect of higher HGS against CKD progression.

CONCLUSION

The study provides strong evidence that HGS is a crucial factor in reducing the risk of CKD progression. Higher levels of HGS are significantly associated with a lower occurrence of renal endpoint events.

Predicting dietary management intention of patients with chronic kidney disease using protection motivation theory

BACKGROUND

Psychological determinants underlying the dietary management intention (DMI) of Chinese patients with chronic kidney disease (CKD) are not well understood. This hinders the development of theory-informed dietary interventions targeting this population. The aim of this study was to identify factors influencing DMI of Chinese patients with CKD through the lens of Protection Motivation Theory (PMT).

METHODS

500 patients with CKD from a nephrology ward of a large teaching hospital in China completed a survey including measures of PMT constructs (i.e., perceived vulnerability, perceived severity, intrinsic and extrinsic rewards, self-efficacy, response efficacy, and response cost) using validated scales adapted from previous studies. Data were analyzed using confirmatory factor analysis and multiple linear regression.

RESULTS

Three PMT constructs, namely perceived severity [B = 0.198, P < 0.001], response efficacy [B = 0.331, P  < 0.001], and self-efficacy [B = 0.325, P  < 0.001], two demographic variables, namely single status [B = -0.180, P = 0.028] and education level [B = 0.080, P = 0.007], and a disease-related variable, namely CKD stage [B = .056, P = 0.001], predicted 39.3% of the variance of the CKD DMI. No significant effect on CKD DMI was observed for other predictor variables (P > 0.05).

CONCLUSIONS

Applying the PMT, significant predictors of DMI in Chinese patients with CKD were identified, which should be targeted in behavior change initiatives aimed at promoting dietary management.

Dietary quality and adherence to dietary recommendations in Chinese patients with chronic kidney disease

Objectives

There is a lack of data regarding the quality of the diet and the adherence to dietary guidelines of patients with non-dialysis-dependent CKD (NDD-CKD) in China.

Design and methods

Single-center cross-sectional study of 261 patients with CKD stages 3-5, who responded to 3-day dietary records and undertook 24-h urine samples along with clinical, laboratory, and anthropometric assessments. We compared their food intake with Chinese recommendations for CKD patients, assessed dietary quality through the Chinese Healthy Eating Index (CHEI), and calculated the contribution to energy intake by processed foods according to the NOVA classification.

Results

Average energy intake was 30 ± 9 Kcal/kg/d, and 65% consumed less energy than recommended. The average protein intake was 1.2 ± 0.5 g/Kg/d, and 81% consumed more than recommended. 71% of patients consumed excess sodium and 80% consumed too little fiber. These proportions worsened across more severe CKD stages (all P trend value <0.05). The diet was considered of moderate quality (CHEI score 59.5 ± 11.0), and patients with CKD stages 4-5 scored progressively worse (P trend = 0.008). Total grains and tubers supplied 50 and 30% of the total energy and protein intake, respectively. Processed and ultra-processed foods contributed to 23.3% of dietary energy and 11.7% of food weight.

Conclusion

A large proportion of NDD-CKD at our center showed low adherence to diet recommendations. Although consumption of processed foods was low, diet quality worsened with more severe CKD, with low intake of whole grains, dairy, and soybean.

Self-Management among Stroke Survivors in the United States, 2016 to 2021

Background: Self-management among stroke survivors is effective in mitigating the risk of a recurrent stroke. This study aims to determine the prevalence of self-management and its associated factors among stroke survivors in the United States. Methods: We analyzed the Behavioral Risk Factor Surveillance System (BRFSS) data from 2016 to 2021, a nationally representative health survey. A new outcome variable, stroke self-management (SSM = low or SSM = high), was defined based on five AHA guideline-recommended self-management practices, including regular physical activity, maintaining body mass index, regular doctor checkups, smoking cessation, and limiting alcohol consumption. A low level of self-management was defined as adherence to three or fewer practices. Results: Among 95,645 American stroke survivors, 46.7% have low self-management. Stroke survivors aged less than 65 are less likely to self-manage (low SSM: 56.8% vs. 42.3%; p < 0.0001). Blacks are less likely to self-manage than non-Hispanic Whites (low SSM: 52.0% vs. 48.6%; p < 0.0001); however, when adjusted for demographic and clinical factors, the difference was dissipated. Higher education and income levels are associated with better self-management (OR: 2.49, [95%CI: 2.16-2.88] and OR: 1.45, [95%CI: 1.26-1.67], respectively). Further sub-analysis revealed that women are less likely to be physically active (OR: 0.88, [95%CI: 0.81-0.95]) but more likely to manage their alcohol consumption (OR: 1.57, [95%CI: 1.29-1.92]). Stroke survivors residing in the Stroke Belt did not self-manage as well as their counterparts (low-SSM: 53.1% vs. 48.0%; p < 0.001). Conclusions: The substantial diversity in self-management practices emphasizes the need for tailored interventions. Particularly, multi-modal interventions should be targeted toward specific populations, including younger stroke survivors with lower education and income.

Lipid parameters, adipose tissue distribution and prognosis prediction in chronic kidney Disease patients

BACKGROUND

Lipid management in clinic is critical to the prevention and treatment of Chronic kidney disease (CKD), while the manifestations of lipid indicators vary in types and have flexible association with CKD prognosis.

PURPOSE

Explore the associations between the widely used indicators of lipid metabolism and their distribution in clinic and CKD prognosis; provide a reference for lipid management and inform treatment decisions for patients with non-dialysis CKD stage 3-5.

METHODS

This is a retrospective cohort study utilizing the Self-Management Program for Patients with Chronic Kidney Disease Cohort (SMP-CKD) database of 794 individuals with CKD stages 3-5. It covers demographic data, clinical diagnosis and medical history collection, laboratory results, circulating lipid profiles and lipid distribution assessments. Primary endpoint was defined as a composite outcome(the initiation of chronic dialysis or renal transplantation, sustained decline of 40% or more in estimated glomerular filtration rate (eGFR), doubled of serum creatinine (SCr) from the baseline, eGFR less than 5 mL/min/1.73m2, or all-cause mortality). Exposure variables were circulating lipid profiles and lipid distribution measurements. Association were assessed using Relative risks (RRs) (95% confidence intervals (CIs)) computed by multivariate Poisson models combined with least absolute shrinkage and selection operator (LASSO) regression according to categories of lipid manifestations. The best model was selected via akaike information criterion (AIC), area under curve (AUC), receiver operating characteristic curve (ROC) and net reclassification index (NRI). Subgroup analysis and sensitivity analysis were performed to assess the interaction effects and robustness..

RESULTS

255 individuals reached the composite outcome. Median follow-up duration was 2.03 [1.06, 3.19] years. Median age was 58.8 [48.7, 67.2] years with a median eGFR of 33.7 [17.6, 47.8] ml/min/1.73 m2. Five dataset were built after multiple imputation and five category-based Possion models were constructed for each dataset. Model 5 across five datasets had the best fitness with smallest AIC and largest AUC. The pooled results of Model 5 showed that total cholesterol (TC) (RR (95%CI) (per mmol/L) :1.143[1.023,1.278], P = 0.018) and percentage of body fat (PBF) (RR (95%CI) (per percentage):0.976[0.961,0.992], P = 0.003) were significant factors of composite outcome. The results indicated that comprehensive consideration of lipid metabolism and fat distribution is more critical in the prediction of CKD prognosis..

CONCLUSION

Comprehensive consideration of lipid manifestations is optimal in predicting the prognosis of individuals with non-dialysis CKD stages 3-5.

Effects of a mobile application on improving self-management of adult patients receiving peritoneal dialysis: A randomized controlled trial

AIM

This study aimed to develop a mobile application for improving self-management and to evaluate its effects in adult patients on peritoneal dialysis (PD).

METHODS

This randomized controlled trial was registered with the Korean Clinical Research Information Service Registry (KCT0007267) and conducted at a tertiary hospital. A self-management mobile application (SMA) was developed based on social cognitive theory and the ADDIE (analysis, design, development, implementation, and evaluation) model. The SMA includes information about disease management; self-recording of data on diet, exercise, medication, and health behavior; and healthcare providers' support and feedback. Participants aged 19-65 years were randomly allocated to the intervention group (n = 27) using the SMA for 10 weeks, and the control group (n = 26) receiving usual care. PD-related knowledge and self-efficacy, PD-related health behavior, biomarkers, and health-related quality of life (HRQoL) were surveyed pretest/posttest and analyzed using SPSS 23.0.

RESULTS

Compared to the controls, the intervention group showed significant improvement in PD-related knowledge and health behavior, albumin, and hemoglobin. HRQoL domains of symptoms/problems of kidney disease and disease impact on daily activity were improved in the intervention group.

CONCLUSION

The SMA is an effective intervention for enhancing health behaviors as well as improving the HRQoL of patients with PD. Without any limitations on time or location, patients with PD can easily use the SMA to monitor their health conditions, efficiently manage their disease, and perform PD-related behaviors. Nurses can implement high-quality tailored healthcare by using patients' lifelog data from the SMA.