MEASUREMENT OF SPOT CREATININE BY STATSENSOR CREATININE METER AND SERUM CREATININE BY CONVENTIONAL ENZYMATIC METHOD: A COMPARATIVE STUDY

8 Feb 2025 12 a.m. 12 a.m.

WCN25-AB-766, Poster Board= SAT-099

Introduction:

The Point-of-care creatinine (Spot Creatinine, capillary creatinine) measurement provides an opportunity for rapid results, which can be useful in outpatient settings, critical care units and emergency departments. The objective of this study was to compare and validate creatinine measured by Nova StatSensor Creatinine meter and Serum Creatinine measured by conventional enzymatic assay

Methods:

This prospective observational study included adult patients with suspected or proven renal dysfunction who visited the outpatient department of nephrology and age/sex-matched healthy volunteers were used as controls. Serum Creatinine was measured in (mg/dl) both groups by StatSensor Creatinine meter using capillary blood (finger prick) and Serum creatinine measurement by conventional enzymatic assay (Roche Cobas C501 enzymatic method)

Results:

Figure 1 depicts a positive, linear, strong relationship between Spot.Creatinine and S.Creatinine in Patient population (r=0.89) Figure 2 depicts a positive, linear relationship of moderate strength between Spot.Creatinine and S.Creatinine in healthy population (r=0.66)

A total of 618 (320 patients and 298 healthy volunteers) were included in the study. Mean (±SD) Spot. Creatinine(mg/dl) & S. Creatinine (mg/dl) in the overall population was 1.9 (±1.9) & 1.8 (±1.8); 2.9 (± 2.2) & 2.8 (± 2.2); 0.86 (± 0.23) & 0.81 (± 0.25) in patients and healthy volunteers respectively. A Pearson correlation coefficient depicted a positive correlation between the two variables, r (df)= 1, p < 0.001. The sensitivity and specificity of Spot. Creatinine was 91.29% and 96.02% respectively; with a PPV and NPV of 94.52% and 93.62% and an accuracy of 94.17%.

Baseline Characteristics

Conclusions:

Measurement of creatinine using StatSensor Creatinine meter with capillary blood is simple, rapid and reliably identifies renal dysfunction

I declare this abstract was submitted to ASN Kidney week 2024 and I also declare resubmission of this abstract was permitted by the organisers of the ASN kidney week 2024

I have no potential conflict of interest to disclose.

I did not use generative AI and AI-assisted technologies in the writing process.