AI Article Synopsis

  • The study investigates how using sample-specific reference intervals (RIs) can reduce the number of participants excluded from clinical trials due to abnormal lab values, ultimately speeding up recruitment and lowering costs.
  • Researchers analyzed data from 601 participants and established new RIs for key laboratory parameters, noting significant differences in "out of range" (OOR) values when comparing new and old RIs.
  • Findings suggest that implementing these new, sample-specific RIs significantly decreases the proportion of OOR values, highlighting their importance in improving participant inclusion in clinical studies.

Article Abstract

Background: Abnormal laboratory values are a common reason for the exclusion of participants in clinical studies, increasing the recruitment time and cost during conduct. The use of sample-specific reference intervals (RIs) may help to address this issue. Hence, the present study derived site-specific RIs using the department laboratory database and compare the proportion of "out of range" (OOR) values between the new and the old RIs used by the trial site.

Methods: Institutional ethics committee approval was obtained. Data for hematology and biochemistry parameters were analyzed. Normality was assessed and RIs computed using nonparametric method. Data were partitioned for gender and descriptive statistics applied for demographics. The OOR values based on new RIs were compared with old RIs using Chi-squared tests. Between gender OOR proportions compared using Chi-squared test (significance at < 0.05). Post hoc analysis was performed with Beasley's technique.

Results: Data of 601 participants were analyzed. The median (Inter Quartile Range) age was 22 (47) years and 64.72% were male. New RIs for key parameters were: Haemoglobin (9.3-16.5 g/dl), alanine aminotransferase (11.4-47.74 U/I), aspartate aminotransferase (8.8-58 U/I), total bilirubin (0.27-1.4 mg/dl), and creatinine (0.59-1.36 mg/dl). Post partitioning, the RI for hemoglobin (g/dl) was lower (8.72-15.72) in females. The proportion of OOR values were lower with new RIs relative to old laboratory RIs ( < 0.0001).

Conclusion: A reduction in the proportion of OORs and a change in the upper and lower bound laboratory intervals with new RIs emphasize the need for sample-specific ranges to prevent unnecessary exclusions of volunteers from trials.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8525794PMC
http://dx.doi.org/10.4103/picr.PICR_71_20DOI Listing

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