Clsi Ep28 Apr 2026

Dr. Aliyah Vargas had run the University Hospital’s clinical chemistry lab for twelve years, and in that time, she had learned to trust two things: cold logic and the CLSI guidelines. EP28, specifically—the standard for defining, establishing, and verifying reference intervals—was her bible. It told her what “normal” looked like for a patient population.

So when the new automated immunoassay analyzer arrived, she knew the drill. The manufacturer’s reference intervals for thyroid-stimulating hormone (TSH) were neatly printed in the manual: 0.4–4.0 mIU/L. But EP28 was clear: Verify before use. Don’t trust, verify.

That night, Aliyah wrote a new lab policy. They would adopt the manufacturer’s broader interval for patients over 65—not out of laziness, but out of a deeper respect for EP28’s core principle: A reference interval is only as good as its reference population.

She called Mrs. Park’s family. The levothyroxine was stopped. The arrhythmia resolved. clsi ep28

Mrs. Park wasn’t abnormal. Aliyah’s reference population was just too young.

The lower limit of her in-house reference interval was 0.6 mIU/L. The upper limit was 3.2.

Mrs. Eleanor Park, 68, came in for fatigue. Her TSH was 3.9 mIU/L—within the manufacturer’s range but above Aliyah’s verified upper limit of 3.2. Using the lab’s new narrow interval, the computer flagged it as Abnormal-High . The junior resident started her on low-dose levothyroxine. It told her what “normal” looked like for

Aliyah nodded. “But EP28 says if we have 120 subjects, nonparametric ranking is the gold standard. The 2.5th and 97.5th percentiles are 0.6 and 3.2. That’s our truth.”

And Aliyah learned that “normal” is not a number printed in a manual or even a percentiles from a tidy dataset. It is a fragile, shifting border between biology and statistics—and the job of a clinical chemist is not just to measure, but to interpret who, exactly, is in the room when you draw the line.

The conflict tore the lab apart. Clinicians started calling. A healthy medical student with a TSH of 3.8—perfectly fine by the old book—was now flagged high. An exhausted intern with a TSH of 0.5 was flagged low, even though she felt fine after a night shift. But EP28 was clear: Verify before use

“Reference intervals may need to be partitioned by age, sex, or other factors… especially for analytes like TSH, where values increase with age.”

“That’s too narrow,” her senior technologist, Marcus, said, frowning at the scatter plot. “Manufacturer says 0.4 to 4.0. If we use ours, we’ll flag half our outpatients as abnormal.”

She pulled the raw data from her 120 healthy subjects. Most were young—residents, techs, nurses under 40. Only seven were over 65. The elderly subgroup, small as it was, had a higher median TSH.