Laboratory reflex testing strategy for the early identification of primary care patients with multiple myeloma

Clinical Biochemistry(2024)

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摘要
Objectives Our objective was to shorten the screen for multiple myeloma (MM), through reflex testing. Design and Methods The clinical laboratory in the public University Hospital of San Juan (Alicante, Spain), serves 234,551 inhabitants. Through an intervention agreed with general practitioners, the Laboratory Information System (LIS) automatically registered serum immunoglobulins (Ig) when serum total proteins (STP) > 80 g/L for the first time in primary care patients. When concomitantly one Ig presented a value above and one below its reference interval, the LIS automatically registered a serum protein electrophoresis (SPEP). When a monoclonal peak in SPEP, immunofixation electrophoresis (IFE) for the typification of monoclonal bands (MB) was performed. If MB were present, a comment in the report explained the intervention. The number of additionally registered Ig, SPEP, IFE, and new diagnosis of MM were counted. The number of days elapsed from the report of elevated STP result to the final MM diagnosis was also counted as median and interquartile range (IQR), and compared to a pre intervention period. Results 2071 cases of hyperproteinemia were identified, and had 91 a monoclonal peak, confirmed by IFE. In 35 patients it was a new finding, and 9 were diagnosed with MM, 3 Waldestrom macroglobulinemia, 2 lymphoplasmacytic lymphoma and 21 monoclonal gammopathy of undetermined significance. The number of days elapsed from hyperproteinemia to diagnosis was lower in the intervention period (21.5 vs 119.4) (P < 0.01). As our results show, in addition to shortening the time to diagnosis, an increased rate of detection of plasma cell disorders was observed when using our algorithm. Conclusions The above laboratory interventions agreed with clinicians, making use of laboratory technology resulted in early identification of MM.
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关键词
Clinical Laboratory,Total protein test,Outcome result,Result management,Multiple Myeloma,Laboratory computer algorithm
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