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Abstracts PO41

Prognostic Nutrıtıonal Index is Independently Associated with Overall Survıval in Newly Diagnosed Multıple Myeloma: A Retrospectıve Single-Center Cohort Study

Introduction/Background/Significance:

The Prognostic Nutritional Index (PNI), calculated from serum albumin and



lymphocyte count, reflects nutritional and immunological status. Its independent prognostic



value in multiple myeloma (MM) beyond established staging systems remains unclear.



Materials and Methods/Case Presentation/Objective:

We retrospectively analyzed 269 consecutive MM patients treated at a single center



between 2010 and 2024. PNI was calculated as 10 × albumin (g/dL) + 0.005 × absolute



lymphocyte count (cells/mm³). The optimal cutoff for PNI was identified using maximally



selected rank statistics and validated by 1,000-iteration bootstrap resampling. Multivariable



Cox regression was stratified by autologous stem cell transplantation (ASCT) to address



proportional hazards violations, and inverse probability of treatment weighting (IPTW) was



applied as a sensitivity analysis.



Results/Description/Main Outcome Measure(s):

Over a median follow-up of 32.7 months, 172 deaths (63.9%) occurred. The optimal



PNI cutoff was 42.6, classifying 111 patients (41.3%) as low PNI and 158 (58.7%) as high



PNI. Median overall survival (OS) was 24.3 months for low PNI versus 64.5 months for high



PNI (p < 0.001). In multivariable analysis, low PNI independently predicted higher mortality



(HR 1.73; 95% CI: 1.21-2.48; p = 0.003), a finding consistent after IPTW adjustment and



bootstrap validation. Adding PNI to R-ISS increased the C-index from 0.610 to 0.663. PNI



was associated with progression-free survival in univariable analysis but not after



multivariable adjustment.



Conclusion(s).:

PNI is a simple, independent prognostic marker for OS in newly diagnosed



MM. Patients with low PNI have substantially poorer survival. PNI may serve as a readily



available, cost-effective, and easily implementable tool for routine clinical risk



stratification. These findings warrant external validation in independent cohorts.



Trademarked Items:

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