scholarly journals Prevalence of abnormal urinary cadmium and risk of albuminuria as a primary bioindicator for kidney problems among a healthy population

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12014
Author(s):  
Mohd Faizal Madrim ◽  
Mohd Hasni Ja’afar ◽  
Rozita Hod

Background The prevalence of chronic kidney disease is increasing globally, ranking 27th as the cause of death in the 1990s, rising to 18th in 2010 and 10th in 2019. Non-communicable diseases such as diabetes and hypertension have been identified as the common contributing factors, while there is also evidence linking environmental pollutants, especially cadmium, to kidney disease. This study aimed at investigating the level of urinary cadmium and its relationship to albuminuria as an early indicator of kidney problems in the Kepong community. Methods Respondents were surveyed as part of several health-related programs organized by the Kepong District Health Office involving local communities in and around the district from April 2019 to December 2019. Urinalysis of two urine samples was carried out using a Mission reagent strip and an Inductively Coupled Plasma Mass Spectrometry (ICP-MS) test to detect the presence and level of urinary cadmium. Results A total of 240 respondents were enrolled from April 2019 to December 2019. Urinalysis of two urine samples was carried out using a Mission reagent strip and an Inductively Coupled Plasma Mass Spectrometry (ICP-MS) test to detect the level of urinary cadmium. The respondents’ average age was 41-year-old (±13.23). Among them, 49.6% were male, 85.0% Malay, 5.8% Chinese and 8.3% Indian. 55.0% had background of tertiary, 39.6% secondary and 5.4% primary level of education. 52.1% were categorized in B40, 34.6% in M40 and 13.3% in T20 based on monthly household income category. 26.7% were hypertensive, 6.7% diabetic, 4.2% had dyslipidemia, 51.7% had urinary cadmium above the alert level, and 27.1% had albuminuria. Discussion Risk factors for albuminuria that have been identified are age with adjusted odds ratio (AOR) 3.53 (1.41–8.83; p < 0.05), highest educational level with AOR 2.18 (1.14–4.17; p < 0.05), diabetes with AOR 3.36 (1.07–10.52; p < 0.05), and urinary cadmium with AOR 4.72 (2.33–9.59; p < 0.001), with future screening programs placing greater attention to those at risk and further research is required to determine the cause of exposure to cadmium.

Author(s):  
Anna F Robson ◽  
Philip Lockett ◽  
Lesley Tetlow ◽  
Chris Chaloner

Objective To determine the necessity for acid-washed containers for 24-h urine copper analysis. Methods Copper solutions, with concentrations relevant to clinical decision limits, were prepared by spiking both assay diluent and unknown urine samples with the copper calibrator. Samples were split between plain and acid-washed 24-h urine containers, and copper analysis was performed using inductively coupled mass spectrometry (ICP-MS). Results Measurement of copper in both spiked diluent and spiked urine samples showed minimal concentration bias between acid-washed and plain 24-h urine containers. Conclusions Acid-washed containers are not required for the measurement of copper in 24-h urine samples.


2019 ◽  
Author(s):  
Ingo Strenge ◽  
Carsten Engelhard

<p>The article demonstrates the importance of using a suitable approach to compensate for dead time relate count losses (a certain measurement artefact) whenever short, but potentially strong transient signals are to be analysed using inductively coupled plasma mass spectrometry (ICP-MS). Findings strongly support the theory that inadequate time resolution, and therefore insufficient compensation for these count losses, is one of the main reasons for size underestimation observed when analysing inorganic nanoparticles using ICP-MS, a topic still controversially discussed.</p>


Sign in / Sign up

Export Citation Format

Share Document