Comparison of Urinary Albumin-Creatinine Ratio and Albumin Excretion Rate in the Diabetes Control and Complications Trial/Epidemiology of Diabetes Interventions and Complications Study
Abstract:Results: Despite moderate correlation (r ؍ 0.62), ACR levels (mg/g) were lower than AER levels (mg/24 hr). This difference was greatest for men. Gender-specific estimated AER (eAER) values were empirically derived from ACR. Comparing the eAER with measured AER, agreement of prevalent microalbuminuria and macroalbuminuria classification was fair to moderate, and classification of change in albuminuria status over time was different. Intraclass correlations were 0.697 for ACR and 0.803 for AER. Effects of DCCT… Show more
“…Those studies that have examined the effect of gender on measured creatinine excretion or the performance of ACR have given results that are consistent and substantial (table 1) [13,16,17,18,19,20]. Warram et al [19] reported the 95th centiles of ACR in healthy men and women to be 17 and 25 µg/g, respectively, levels which also corresponded to cut points maximizing reproducibility of classification on repeat sampling.…”
Section: Adjustment For Gender Age and Racementioning
confidence: 88%
“…Despite a predictive performance of PCR considered reasonable (correlation coefficient: 0.91, area under ROC curve for 1 g proteinuria prediction: 0.968), there was an almost threefold difference in the PCR threshold required to predict 1 g proteinuria with the same sensitivity in a young man or an elderly woman. Notably, not all studies have reported such strong correlations between ACR/PCR and timed urine protein excretion [13,14]. …”
Section: Correlations Of Pcr/acr With Unadjusted 24-hour Proteinuria/mentioning
confidence: 99%
“…Younes et al [13] reported that in young diabetics ACR (in mg/g) was systematically lower than measured timed albumin excretion, particularly in men. In contrast, in a middle-aged population the prevalence of microalbuminuria based on ACR was 8.5%, whereas the prevalence on timed urine collection was only 4.3% [15].…”
Section: Correlations Of Pcr/acr With Unadjusted 24-hour Proteinuria/mentioning
Current guidelines illogically recommend that a different approach is taken to the correction for creatinine generation rate when estimating glomerular filtration rate (GFR) and when interpreting urine albumin:creatinine ratio (ACR). Age, gender and race are routinely used to adjust for predicted muscle mass in GFR estimation, even though estimated GFR is expressed per unit body surface area. Conversely, ACR is at most adjusted with the use of gender-specific classification thresholds. This difference is surprising since the proportional effect of muscle mass on serum and urine creatinine is identical. Failure to adjust for creatinine generation rate compromises ACR, potentially adversely affecting management decisions and mislabelling individuals as having/not having CKD. A greater ACR is also a marker of low muscle mass, which has confounding prognostic effects. Determination of the optimal method to adjust ACR for estimated muscle mass should improve its performance. Routine reporting of the resulting ‘estimated albumin excretion rate’, as for routine eGFR reporting, would remove the need for gender-specific thresholds.
“…Those studies that have examined the effect of gender on measured creatinine excretion or the performance of ACR have given results that are consistent and substantial (table 1) [13,16,17,18,19,20]. Warram et al [19] reported the 95th centiles of ACR in healthy men and women to be 17 and 25 µg/g, respectively, levels which also corresponded to cut points maximizing reproducibility of classification on repeat sampling.…”
Section: Adjustment For Gender Age and Racementioning
confidence: 88%
“…Despite a predictive performance of PCR considered reasonable (correlation coefficient: 0.91, area under ROC curve for 1 g proteinuria prediction: 0.968), there was an almost threefold difference in the PCR threshold required to predict 1 g proteinuria with the same sensitivity in a young man or an elderly woman. Notably, not all studies have reported such strong correlations between ACR/PCR and timed urine protein excretion [13,14]. …”
Section: Correlations Of Pcr/acr With Unadjusted 24-hour Proteinuria/mentioning
confidence: 99%
“…Younes et al [13] reported that in young diabetics ACR (in mg/g) was systematically lower than measured timed albumin excretion, particularly in men. In contrast, in a middle-aged population the prevalence of microalbuminuria based on ACR was 8.5%, whereas the prevalence on timed urine collection was only 4.3% [15].…”
Section: Correlations Of Pcr/acr With Unadjusted 24-hour Proteinuria/mentioning
Current guidelines illogically recommend that a different approach is taken to the correction for creatinine generation rate when estimating glomerular filtration rate (GFR) and when interpreting urine albumin:creatinine ratio (ACR). Age, gender and race are routinely used to adjust for predicted muscle mass in GFR estimation, even though estimated GFR is expressed per unit body surface area. Conversely, ACR is at most adjusted with the use of gender-specific classification thresholds. This difference is surprising since the proportional effect of muscle mass on serum and urine creatinine is identical. Failure to adjust for creatinine generation rate compromises ACR, potentially adversely affecting management decisions and mislabelling individuals as having/not having CKD. A greater ACR is also a marker of low muscle mass, which has confounding prognostic effects. Determination of the optimal method to adjust ACR for estimated muscle mass should improve its performance. Routine reporting of the resulting ‘estimated albumin excretion rate’, as for routine eGFR reporting, would remove the need for gender-specific thresholds.
“…La precisión de la relación en orina esporádica de la proteinuria/creatininuria se verá disminuida si la excreción de creatinina es sustancialmente diferente del valor esperado; esto es particularmente importante en pacientes con valores límite, por ejemplo, se subestima su valor en los hombres musculosos con una alta tasa de excreción de creatinina y se sobreestima en los pacientes caquécticos en los cuales la masa muscular y la excreción de creatinina se reducen notablemente. La proporción también varía con el género y con la raza / etnicidad en los Estados Unidos, como la excreción de creatinina es significativamente mayor entre los negros no hispanos y los estadounidenses de origen 17 mexicano que entre los blancos no hispanos .…”
Correlación entre el cociente proteinuria/creatininuria en una orina al azar y la proteinuria de 24 horas Correlation between the random urine protein-creatinine ratio and 24-hour proteinuria Artículo recibido: 3 enero 2015 Artículo aceptado: 26 enero 2015
ResumenIntroducción: la cuantificación de proteínas en orina es un estudio que evalúa la afectación renal por ciertas enfermedades. Su medición puede realizarse también a través del cociente proteinuria/creatininuria. Objetivo: determinar la correlación entre el cociente proteinuria/creatininuria y la proteinuria de 24 horas. Metodología: se realizó un estudio descriptivo observacional, prospectivo con componente analítico de corte transverso, de muestreo no probabilístico. Se incluyó a 60 pacientes con factores de riesgo de padecer enfermedad renal crónica, que acudieron al Hospital Nacional (Itauguá) en el año 2014. Todos se realizaron análisis de orina de 24 horas y de una muestra de orina al azar para estimar el cociente proteinuria/creatininuria. Resultados: se observó que existe una correlación muy significativa (r= 0,9 p < 0,001) entre los valores del cociente de proteinuria/creatininuria en una orina al azar y la proteinuria de 24 horas, con una sensibilidad 94,1% (IC95% 79-100), especificidad 100% (IC95% 98-100%), valor predictivo positivo 100% (IC95% 96-100) y valor predictivo negativo 97,7% (IC95% 92-100). Conclusiones: el cociente proteinuria/creatininuria es útil para detectar proteinuria en rango no nefrótico.Palabras claves: proteinuria, proteinuria de 24 horas, cociente proteinuria/creatininuria, hipertensión arterial, lupus eritematoso sistémicoCorr. entre el cociente prot./creat. en una orina al azar y la proteinuria de 24 hs.
AbstractRev. virtual Soc. Parag. Med. Int. marzo 2015; 2 (1):74-92Introduction: The quantification of proteins in urine is a study that evaluates kidney involvement in some diseases. The measurement can be made through the urine protein-creatinine ratio. Objective: To determine the correlation between the urine protein-creatinine ratio and 24-hour urine protein.
Methodology:A cross-sectional prospective observational descriptive study with analytical component and non-probabilistic sampling was performed. Sixty patients who had risk factors of chronic renal disease and attended the National Hospital (Itauguá) in 2014 were included. Twenty four-hour urine and a random urine sample were analyzed to estimate the protein-creatinine ratio. Results: A very significant correlation (r= 0.9 p < 0.001) was observed between the values of the proteincreatinine ratio in a random urine and 24-hour urine protein with a sensitivity of 94.1% (IC95% 79-100), specificity of 100% (IC95% 98-100%), positive predictive value of 100% (IC95% 96-100) and negative predictive value of 97.7% (IC95% 92-100).
Conclusion:The protein-creatinine ratio is useful to detect proteinuria in a non-nephrotic range.Keywords: proteinuria, 24-hour proteinuria, urine protein-creatinine ratio, arterial hypertension, systemic lupus erythematosus
IntroducciónLa enfe...
“…ACR measurement is a precise and accurate test for kidney disease, also less likely to experience errors caused by the inaccuracy of urine collection method and variation in 24-hour urinary protein excretion. [7][8][9] Siangproh and co-worker 10 reported the determination of albumin-creatinine ratio (ACR) using spectrophotometric sequential injection analysis (SIA). Albumin was detected based on the dye-binding reaction.…”
Measurement of the albumin-creatinine ratio (ACR) as a medical index of renal failure is imperative to identify individuals at high risk of kidney disease. The present study is aimed to develop albumin and creatinine measurement method by sequential injection at valve mixing (SI-VM) for the determination of urinary ACR. The laboratory-made SI-VM system consists of a syringe pump, 8-port selection valve, RGB-LED detector, and holding coil. This system was controlled by a computer using a home-made software prepared by the Visual Basic program. The detection of albumin was based on dye-binding of methyl orange, while the Jaffe reaction was applied for the creatinine detection. Both albumin and creatinine were simultaneously and automatically measured using SI-VM, and the absorbance was recorded at 530 nm. Some parameters affected sensitivity, precision, and accuracy of the method, which includes pH of methyl orange, the volume of albumin, the concentration of NaOH, NaOH-picric acid ratio, and flow rate to detector were studied in detail. The proposed method was successfully applied to the determination of ACR in urine samples with satisfied results. Additionally, a rapid, sensitive, and accurate determination of ACR could be attributed to the SI-VM method.
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