Availability and Affordability of Kidney Health Laboratory Tests around the Globe

Chronic kidney disease and the global public health agenda: an international consensus

Early detection is a key strategy to prevent kidney disease, its progression and related complications, but numerous studies show that awareness of kidney disease at the population level is low. Therefore, increasing knowledge and implementing sustainable solutions for early detection of kidney disease are public health priorities. Economic and epidemiological data underscore why kidney disease should be placed on the global public health agenda - kidney disease prevalence is increasing globally and it is now the seventh leading risk factor for mortality worldwide. Moreover, demographic trends, the obesity epidemic and the sequelae of climate change are all likely to increase kidney disease prevalence further, with serious implications for survival, quality of life and health care spending worldwide. Importantly, the burden of kidney disease is highest among historically disadvantaged populations that often have limited access to optimal kidney disease therapies, which greatly contributes to current socioeconomic disparities in health outcomes. This joint statement from the International Society of Nephrology, European Renal Association and American Society of Nephrology, supported by three other regional nephrology societies, advocates for the inclusion of kidney disease in the current WHO statement on major non-communicable disease drivers of premature mortality.

Machine learning-assisted image label-free smartphone platform for rapid segmentation and robust multi-urinalysis

This study presents a groundbreaking approach for the early detection of chronic kidney disease (CKD) and other urological disorders through an image-label-free, multi-dipstick identification method, eliminating the need for complex machinery, label libraries, or preset coordinates. Our research successfully identified reaction pads on 187 multi-dipsticks, each with 11 pads, leveraging machine learning algorithms trained on human urine data. This technique aims to surpass traditional colourimetric methods and concentration-colour curve fitting, offering more robust and precise community screening and home monitoring capabilities. The developed algorithms enhance the generalizability of machine learning models by extracting primary colours and correcting urine colours on each reaction pad. This method's cost-effectiveness and portability are significant, as it requires no additional equipment beyond a standard smartphone. The system's performance rivals professional medical equipment without auxiliary lighting or flash under regular indoor light conditions, effectively managing false positives and negatives across various categories with remarkable accuracy. In a controlled experimental setting, we found that random forest algorithms, based on a Bagging strategy and applied in the HSV colour space, showed optimal results in smartphone-assisted urinalysis. This study also introduces a novel urine colour correction method, significantly improving machine learning model performance. Additionally, ISO parameters were identified as crucial factors influencing the accuracy of smartphone-based urinalysis in the absence of additional lighting or optical configurations, highlighting the potential of this technology in low-resource settings.

A multimedia program for caregivers of pediatric patients with chronic kidney disease in Guatemala

OBJECTIVES

A multimedia medication training program for parents and legal guardians of children with chronic kidney disease (CKD) aimed to improve comprehension CKD and general information about medications used in pediatric patients attending The Foundation for Children with Kidney Disease (FUNDANIER, Guatemala City).

METHODS

A quasi-experimental study was carried out to measure the impact of the educational intervention on medication knowledge, at FUNDANIER from September to October 2019. Means and standard deviations was used to described test results. A Wilcoxon test was performed, to compare scores of pre and post-tests. Odds Ratio (OR) was used to determine if there was an improvement in the knowledge score before and after the intervention. Results There was significant improvement in knowledge scores knowledge before and after the intervention(27/35 versus 33/35, P < 0.005). Mestizo participants had higher odds of improvement before and after the intervention (OR 7, CI: 0.6-78). Parent-guardians with prior education, and who spoke Spanish had higher odds of improved knowledge scores (OR 3.2, CI:0.3-35; OR 1.1 CI: 0.1-14 respectively).

CONCLUSION

Caregivers who participated in the educational workshop improved and retained information related to CKD comprehension and medications used. This study provides a model for educational modules that can be used, tested, and applied in other chronic disease settings in low to middle income countries.

PRACTICE IMPLICATIONS

A culturally relevant multimedia CKD educational platform was effective in improving medication knowledge among parent/guardians of children with CKD in a low literacy setting.

Advantages, Limitations, and Clinical Considerations in Using Cystatin C to Estimate GFR

Cystatin C has been shown to be a reliable and accurate marker of kidney function across diverse populations. The 2012 Kidney Disease Improving Global Outcomes (KDIGO) guidelines recommended using cystatin C to confirm the diagnosis of chronic kidney disease (CKD) determined by creatinine-based estimated glomerular filtration rate (eGFR) and to estimate kidney function when accurate eGFR estimates are needed for clinical decision-making. In the efforts to remove race from eGFR calculations in the United States, the National Kidney Foundation (NKF) and American Society of Nephrology (ASN) Joint Task Force recommended increasing availability and clinical adoption of cystatin C to assess kidney function. This review summarizes the key advantages and limitations of cystatin C use in clinical practice. Our goals were to review and discuss the literature on cystatin C; understand the evidence behind the recommendations for its use as a marker of kidney function to diagnose CKD and risk stratify patients for adverse outcomes; discuss the challenges of its use in clinical practice; and guide clinicians on its interpretation.