Establishing an External Quality Assessment (EQA) Program for Urinalysis in Medical Laboratories of Thailand

Thailand Association of Clinical Biochemists (TACB) introduced External Quality Assurance schemes (EQAs) for urinalysis (UA) using urine strips in medical laboratories of Thailand. The few available External Quality Assessment (EQA) programs on urinary microalbumin rarely include an evaluation of clinical cases. The aim of the present study was to assess a descriptive analysis of biochemical urinalysis including urine microalbumin in the Thailand laboratory practice. From January 2021 to December 2021, four surveys were organized. EQA urine samples were distributed to the participants by mail. The participants measured the UA of 2 samples quarterly and returned the results together with the information about their instruments and suggestion for the performance of the laboratory report quarterly. Moreover, summary of the situation of each laboratory performance was feedbacked by online system. Fifty-eight laboratories participated in the survey. The EQA panels included positive and negative samples. The analytical results for passed parameters of urine chemical test range from 79.3-100%. All special tests; microalbumin, creatinine, and beta-HCG showed correct result from 85.1-96.1%. The overall accuracy, specificity, and sensitivity were 92.6, 85.7, and 75,4%, respectively. The major issues were observed: the low sensitivity for the detection of low-concentration samples and the incapacity of several methods to detect the positive sample. The assessment is needed to continuously evaluate the improvement proficiency of laboratories in Thailand.

The association among uric acid, microalbumin and estimated glomerular filtration rate in hypertensive patients: a case control study

OBJECTIVE

To estimate the relationship among uric acid (UA), 24-h microalbumin (24 h-MAU) and estimated glomerular filtration rate (eGFR) in hypertensive patients.

METHOD

The study enrolled adult patients hospitalized in TEDA International Cardiovascular Hospital. The study was used to explore the correlation among UA, 24 h-MAU and eGFR. Univariate analysis was used to compare continuous or categorical data groups according to data type. Multivariate analysis was used to explore the correlation among UA, Log 24 h-MAU and eGFR by linear regression, and the relationship among UA, 24 h-MAU ≥ 30 mg/24 h (increased 24 h-MAU) and eGFR < 90 ml·min^-1·1.73 m^-2 (mildly decreased eGFR) by logistic regression. Mediation effect analysis was used to explore the mediating effect of increased 24 h-MAU between UA and mildly decreased eGFR. Subgroup analysis was used to investigate the correlation among UA, 24 h-MAU and eGFR in different gender.

RESULT

Seven hundred and thirty-three inpatients were enrolled in the study, including 257 patients with hyperuricemia. The level of UA was 377.8 ± 99.9 μmol/L in all patients enrolled, and it was about 50.1% higher in hyperuricemia group (482.3 ± 58.8 μmol/L vs. 321.4 ± 63.5 μmol/L, P < 0.001). The prevalence of hyperuricemia was 35.1% (95%CI 31.6-38.5%). The univariate regression analysis showed that UA was significant related to Log 24 h-MAU, increased 24 h-MAU, eGFR and mildly decreased eGFR. After adjusted confounding factors, UA was significant related to Log 24 h-MAU (β = 0.163, P < 0.001), eGFR (β = - 0.196, P < 0.001), increased 24 h-MAU (quantitative analysis: OR = 1.045, 95%CI 1.020-1.071, P < 0.001; qualitative analysis: OR = 2.245, 95%CI 1.410-3.572, P = 0.001), but had no significant relationship with mildly decreased eGFR. Mediating effect analysis showed that increased 24 h-MAU partially mediated the relationship between UA and mildly decreased eGFR (relative indirect effect: 25.0% and 20.3% in quantitative analysis and qualitative analysis respectively). In the subgroup analysis, the results were stable and similar to the analysis for entry patients.

CONCLUSION

The prevalence of hyperuricemia was higher in hypertensive inpatients. UA was strongly associated with Log 24 h-MAU, eGFR and increased 24 h-MAU, while the correlation with mildly decreased eGFR was affected by multiple factors. And increased 24 h-MAU might be the intermediate factor between UA and mildly decreased eGFR.

Linking adiponectin expression and kidney dysfunction among Indian patients with and without diabetic nephropathy

Diabetic kidney disease is a common cause of end stage renal disease has a high incidence rate in population with type 2 diabetes mellitus patients. Adiponectin is an adipocytokine shown to strive anti-diabetic, anti-oxidative as well as anti-inflammatory. The present study aimed to determine the serum adiponectin levels in type 2 diabetes mellitus and explore its association with nephropathy. This cross sectional study recruited 90 type 2 diabetes mellitus patients with (n = 60) and without nephropathy (n = 30). Additionally 30 age, gender, and body mass index matched healthy controls were included. Enzyme linked immunosorbent assay method were used to determine adiponectin concentration. Blood sugars, glycated hemoglobin, body mass index all sounded to be brawny risk factors for nephropathy and microalbumin, e GFR showed a significant association with kidney disease progression in type 2 diabetes mellitus with nephropathy. Both the groups of type 2 diabetes mellitus patients had elevated adiponectin concentrations than controls. Serum adiponectin concentrations were significantly higher in type 2 diabetes mellitus without nephropathy and there was a significant association with nephropathy activity (P<0.0001**). The receiver operating characteristics curve analysis was used to examine the diagnostic performance of adiponectin for nephropathy shown a significant area under the curve 0.998 with sensitivity 100% and specificity 93.33% (P<0.0001**). Hence our study findings concluded that serum adiponectin concentrations considered for the early predictable and prognostic marker for nephropathy.

Spot urinary microalbumin concentration, metabolic syndrome and type 2 diabetes: Tehran lipid and glucose study

AIM

This study aimed to determine the association of urinary microalbumin concentrations with type 2 diabetes mellitus (T2DM), metabolic syndrome (MetS), and its phenotypes. The optimum cut-off values of urinary microalbumin and microalbumin-to-creatinine ratio (MCR) for predicting the chance of having T2DM and MetS were also defined.

METHODS

Adult men and women (n = 1192) participated in the sixth phase (2014-2017) of the Tehran Lipid and Glucose Study (TLGS), with completed data, were included in the analyses. Odds ratios (ORs) (and 95% confidence intervals (CIs)) of T2DM, MetS, and its components across tertile categories of urinary microalbumin concentrations were estimated using multivariable logistic regressions. The optimal cut-off points of urinary microalbumin and MCR were determined using the receiver operator characteristic (ROC) curve analysis.

RESULTS

Participants' mean (±SD) age was 44.9 (±14.0) years, and 44.6% of the participants were men. The prevalence of microalbuminuria was 14.4%. Chance of having T2DM was significantly higher in the highest tertile of urinary microalbumin concentration (OR = 2.29, 95% CI = 1.43-3.67) and MCR (OR = 1.82, 95% CI = 1.15-2.89). Subjects with the highest urinary microalbumin concentration were more likely to have MetS (OR = 1.66, 95% CI = 1.17-2.35), hypertension (OR = 1.63, 95% CI = 1.16-2.30) and hyperglycemia (OR = 1.78, 95% CI = 1.24-2.56). No significant association was observed between urinary microalbumin concentrations and other components of MetS. The optimal cut-off points of urinary microalbumin for predicting the chance of having T2DM and MetS were 14.0 and 13.6 mg/L, respectively.

CONCLUSIONS

Elevated spot urinary microalbumin, below the values defined as microalbuminuria, was associated with the chance of having T2DM and MetS.

Serum chromogranin A correlated with albuminuria in diabetic patients and is associated with early diabetic nephropathy

BACKGROUND

The kidney is the main site for the removal of chromogranin A (CgA). Previous studies have found that patients with renal impairment displayed elevated concentrations of CgA in plasma and that CgA concentrations reflect a deterioration of renal function. In this study, we aimed to estimate serum CgA levels and to evaluate the role of serum CgA in the early diagnosis of diabetic nephropathy (DN).

METHODS

A total of 219 patients with type 2 diabetes mellitus (T2DM) were included in this cross-sectional study. These patients were classified into normoalbuminuria (n = 121), microalbuminuria (n = 73), or macroalbuminuria (n = 25) groups based on their urine albumin to creatinine ratios (UACRs). The degree of DN is reflected by UACR. A control group consisted of 45 healthy subjects. The serum CgA levels were measured by ELISA, and other key parameters were assayed.

RESULTS

Serum CgA levels were higher in patients with T2DM than in control subjects, and a statistically significant difference among the studied subgroups regarding CgA was found (P < 0.05). The levels of serum CgA increased gradually with the degree of DN (P < 0.001). Serum CgA levels showed a moderate-intensity positive correlation with UACRs (P < 0.001). A cutoff level of 3.46 ng/ml CgA showed 69.86% sensitivity and 66.12% specificity to detect DN in the early stage.

CONCLUSION

The levels of serum CgA increased gradually with the degree of DN and can be used as a biomarker in the early detection of DN.

MicroRNAs from urinary extracellular vesicles are non-invasive early biomarkers of diabetic nephropathy in type 2 diabetes patients with the 'Asian Indian phenotype'

AIMS

MicroRNAs (miRNAs) from extracellular vesicles (EVs) have been proposed as promising biomarkers for a number of diseases. In this study, their potential as urine-based biomarkers of diabetic nephropathy (DN) was assessed.

METHODS

MiRNAs were profiled in urinary EVs from 160 fasting subjects with normal glucose tolerance (NGT) and in T2DM patients with either microalbumininuria (MIC) or macroalbuminuria (MAC).

RESULTS

A total of 73 miRNAs detected in urinary EVs (NGT) were predicted to target important functions for kidney homoeostasis, thereby validating their use as indicators of kidney dysfunction. Indeed, a urinary EV miRNA signature was found to comprise increased levels of let-7i-3p, miR-24-3p and miR-27b-3p, and decreased levels of miR-15b-5p, to identify patients with MIC. ROC curve analysis confirmed this ability to identify MIC in normo-albuminuria T2DM (T2DM-NA) patients and to differentiate between MAC and T2DM patients. These miRNAs were also predicted to target protein networks involved in the Wnt/β-catenin signalling cascade, activin receptor signalling and cell differentiation/proliferation, and correlated with eGRF, HbA_1c, serum creatinine, urea, albumin and blood pressure. Concentrations of miR-30a-5p were specifically modified in urinary EVs from patients with MAC, but not MIC, suggesting that miR-30a-5p could be related to severe kidney damage.

CONCLUSION

Urinary EV miRNAs correlate with the degree of MIC. As they are also thought to regulate pathways that are targets of pharmacological agents to prevent DN (reticulum stress, activin receptors), they may also serve as non-invasive 'liquid biopsies' to stratify patients at risk of developing MAC and to monitor treatment efficacy.

Assessment of Potential Renal Dysfunction in Patients with Congenital Heart Disease after Biventricular Repair

Background and Objectives

There are few reports on renal dysfunction in the remote period after biventricular repair, and biomarkers for early detection of renal dysfunction are not well understood. We examined whether early fluctuation of biomarkers of renal function occurs in the remote period after biventricular repair in patients with congenital heart disease (CHD).

Methods

Fourteen patients with CHD after biventricular repair were included. The examination values obtained by cardiac catheterization test and renal function indices based on blood and urine sampling were compared.

Results

The median estimated glomerular filtration rate (eGFR) of creatinine was 113 mL/min/1.73 m², and the median eGFR of cystatin C was 117 mL/min/1.73 m². A urine albumin-to-creatinine ratio (UACR) ≥10 mg/gCr was considered a risk factor for cardiovascular disease in 6 (43%) patients. There was a significant difference in right ventricular ejection fraction and deviation in right ventricular end-diastolic volume from the normal value between the 2 groups divided by UACR. Cyanosis before biventricular repair was noted in 2 (25%) patients with UACR <10 mg/gCr and in 4 (67%) patients with UACR ≥10 mg/gCr.

Conclusions

Increased UACR was noted in 43% of patients. In patients with UACR ≥10 mg/gCr, right heart system abnormality was observed, and several patients had cyanosis before radical treatment. Measurement for UACR may be able to detect renal dysfunction early in the postoperative remote period.

Quantitation of Albumin in Urine by Liquid Chromatography Tandem Mass Spectrometry

Urinary excretion of human serum albumin (HSA), a 6.65 kDa monomeric protein, is a sensitive marker of renal damage associated with many diseases including diabetes mellitus. Albumin is synthesized by the liver and functions as a transport protein for fat-soluble hormones and drugs and for maintaining plasma colloid osmotic pressure and pH. Albumin is not filtered at the glomerulus and its presence in the urine at concentration above 30 mg/day is suggestive of glomerular damage. Early diagnosis of microalbuminuria (30-300 mg/24 h urine albumin excretion or 30-300 mg/g creatinine in random collections) has prognostic value for monitoring disease progression and early clinical management of diabetic nephropathy in prediabetic patients. Current methods for quantitation of urine albumin are based on immunoassays or size exclusion high-performance liquid chromatography coupled with UV detection (SEC-HPLC-UV). Studies have demonstrated discordance between the existing methods. It has been suggested that while immunoassays underestimate albumin in urine, SEC-HPLC-UV method overestimates albumin as it cannot separate co-eluting interferences. This chapter describes a liquid chromatography tandem mass spectrometry LC-MS/MS candidate reference method for albumin quantitation.

Renal function in diabetic nephropathy

Diabetic nephropathy is the kidney disease that occurs as a result of diabetes. Cardiovascular and renal complications share common risk factors such as blood pressure, blood lipids, and glycemic control. Thus, chronic kidney disease may predict cardiovascular disease in the general population. The impact of diabetes on renal impairment changes with increasing age. Serum markers of glomerular filtration rate and microalbuminuria identify renal impairment in different segments of the diabetic population, indicating that serum markers as well as microalbuminuria tests should be used in screening for nephropathy in diabetic older people. The American Diabetes Association and the National Institutes of Health recommend Estimated glomerular filtration rate (eGFR) calculated from serum creatinine at least once a year in all people with diabetes for detection of kidney dysfunction. eGFR remains an independent and significant predictor after adjustment for conventional risk factors including age, sex, duration of diabetes, smoking, obesity, blood pressure, and glycemic and lipid control, as well as presence of diabetic retinopathy. Cystatin-C (Cys C) may in future be the preferred marker of diabetic nephropathy due differences in measurements of serum creatinine by various methods. The appropriate reference limit for Cys C in geriatric clinical practice must be defined by further research. Various studies have shown the importance of measurement of albuminuria, eGFR, serum creatinine and hemoglobin level to further enhance the prediction of end stage renal disease.