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Pan-immune-inflammation value at diagnosis independently predicts all-cause mortality in patients with antineutrophil cytoplasmic antibody-associated vasculitis

 Lucy Eunju Lee  ;  Sung Soo Ahn  ;  Jung Yoon Pyo  ;  Jason Jungsik Song  ;  Yong-Beom Park  ;  Sang-Won Lee 
 CLINICAL AND EXPERIMENTAL RHEUMATOLOGY, Vol.39 Supple 129(2) : S88-S93, 2021-03 
Journal Title
Issue Date
Anti-Neutrophil Cytoplasmic Antibody-Associated Vasculitis* / diagnosis ; Antibodies, Antineutrophil Cytoplasmic* ; Female ; Humans ; Inflammation ; Male ; Retrospective Studies ; Survival Rate
Objectives: The pan-immune-inflammation value (PIIV), a novel, validated predictor of the prognosis of several diseases, has been recently introduced. We investigated whether PIIV at diagnosis could predict all-cause mortality during follow-up in patients with antineutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV).

Methods: Medical records of 219 immunosuppressive drug-naïve patients with AAV were reviewed. PIIV was calculated as follows: neutrophil count (x 1000/m3) x monocyte count (x 1000/m3) x platelet count (x 1000/mm3) / lymphocyte count (x 1000/m3). Additionally, conventional risk factors of mortality, AAV-specific indices, and acute-phase reactants at diagnosis were evaluated.

Results: The median age at diagnosis was 59.0 years and 32.9% of the patients were male. During follow-up, 24 patients (11.0%) died due to all causes. When the cut-off of PIIV at diagnosis for all-cause mortality was set at 1011.3, sensitivity and specificity of 52.0% and 71.2%, were attained (p=0.041). When AAV patients were divided into two groups according to the calculated cut-off, those with PIIV ≥1011.3 at diagnosis had a significantly lower cumulative survival rate than those without (p=0.009). In the multivariable Cox hazards model analysis, male gender (HR 2.307), FFS (HR 1.728) and PIIV ≥1011.3 (HR 2.689) were identified as significant and independent risk factors of all-cause mortality.

Conclusions: PIIV at diagnosis exceeding the optimal cut-off for death could predict all-cause mortality during follow-up in AAV patients comparable to male gender and FFS at diagnosis.
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1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Park, Yong Beom(박용범)
Song, Jason Jungsik(송정식) ORCID logo https://orcid.org/0000-0003-0662-7704
Ahn, Sung Soo(안성수) ORCID logo https://orcid.org/0000-0002-9002-9880
Lee, Sang-Won(이상원) ORCID logo https://orcid.org/0000-0002-8038-3341
Lee, Lucy Eunju(이은주)
Pyo, Jung Yoon(표정윤)
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