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11 February 2022 : Database Analysis  

Estimation of 24-h Urine Protein Excretion Using Urine Albumin-to-Creatinine Ratio from an In-Hospital Population

Xin Liu12BCDEF, Yonghong Zhao3CDE, Yunlin Feng24ACDEF*

DOI: 10.12659/MSM.934307

Med Sci Monit 2022; 28:e934307

Table 1 Characteristics of the study population.

VariablesTotal population (n=906)Development population (n=639)Validation population (n=267)Test
P-value*Statistic**
Source, n (%)0.6820.168
 Out-patient474 (52)331 (52)143 (54)
 In-patient432 (48)308 (48)124 (46)
Sex, n (%)0.6190.247
 Male455 (50)317 (50)138 (52)
 Female451 (50)322 (50)129 (48)
Age(y), median (IQR)45 (27)45 (28)45 (27)0.77084257
Department, n (%)0.9510.004
 Internal medicine805 (89)567 (89)238 (89)
 Others101 (11)72 (11)29 (11)
Diagnosis, n (%)0.8550.033
 Disease-related684 (75)484 (76)200 (75)
 Examination222 (25)155 (24)67 (25)
Spot urine albumin (mg/L), median (IQR)184.60 (740.65)193.00 (709.50)143.70 (840.20)0.6520.452
Spot urine creatinine (μmol/L), median (IQR)6791.00 (4785.75)6723.00 (4608.00)6868.00 (4977.000)0.4350.780
Urine ACR (μg/mg), median (IQR)247.99 (932.11)250.30 (991.75)236.37 (889.38)0.93185616
24h UPE(g), median (IQR)0.51 (1.55)0.52 (1.69)0.50 (1.38)0.88184767
* Development population vs Validation population.
** For continuous variables, statistics derived from Wilcoxon Rank Sum Test.
For categorical variables, statistics derived from χ Test. ACR – albumin/creatinine ratio; IQR – interquartile range; n – number; SD – standard deviation; y – years; 24h UPE – 24 hour urine protein excretion.

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750