MORTALITY PROFILE OF PATIENTS WITH ANCA-ASSOCIATED VASCULITIS

 

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MORTALITY PROFILE OF PATIENTS WITH ANCA-ASSOCIATED VASCULITIS

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Amparo
Roda Safont
Amparo Roda Safont a.roda@fsm.cat Hospital Universitari Mollet Nephrology Mollet del Vallés Spain *
Ramon Roca-Tey 18647rrt@comb.cat Hospital Universitari Mollet Nephrology Mollet del Vallés Spain -
Juan Carlos González Oliva jc.gonzalez@fsm.cat Hospital Universitari Mollet Nephrology Mollet del Vallés Spain -
Alejandra Fernández Luque al.fernandez@fsm.cat Hospital Universitari Mollet Internal Medicine Mollet del Vallés Spain -
Elisabet García Casares e.garcia@fsm.cat Hospital Universitari Mollet Rheumatology Mollet del Vallés Spain -
Jessica Maria Ugalde Altamirano j.ugalde@fsm.cat Hospital Universitari Mollet Nephrology Mollet del Vallés Spain -
Veronica Duarte Gallego v.duarte@fsm.cat Hospital Universitari Mollet Nephrology Mollet del Vallés Spain -
Cynthia Mercado Vergara c.mercado@fsm.cat Hospital Universitari Mollet Nephrology Mollet del Vallés Spain -
Joana Rovira Aguilar j.rovira@fsm.cat Hospital Universitari Mollet Rheumatology Mollet del Vallés Spain -
Lidia de Prado Peña l.prado@fsm.cat Hospital Universitari Mollet Rheumatology Mollet del Vallés Spain -
Miguel Aliste Fernández m.aliste@fsm.cat Hospital Universitari Mollet Laboratory Mollet del Vallés Spain -
Mario Serrano Kieckebusch m.serrano@fsm.cat Hospital Universitari Mollet Pneumologia Mollet del Vallés Spain -
Elena Laserna Martinez e.laserna@fsm.cat Hospital Universitari Mollet Pneumologia Mollet del Vallés Spain -
Jordi Calls Ginestà j.calls Hospital Universitari Mollet Nephrology Mollet del Vallés Spain -
 

ANCA-associated vasculitis (AAV) is a group of autoimmune diseases that affect multiple orgysubtype (MPA, GPA, EGPA), organ involvement (kidney and lung) and ANCA type (MPO or PR3) that may influence the mortality risk of patients (pts).

The clinicopathological variants of AAV are categorized based on clinical, laboratory and pathologic findings: Microscopic polyangiitis (MPA), granulomatosis with polyangiitis (GPA) and eosinophilic granulomatosis with polyangiitis (EGPA).

Aim:To analyze the relationships between orgysubtype, organ involvement and ANCA type of AAV pts who died during follow-up.

Retrospective observational study including consecutive pts older than 18 years of age with a diagnosis AAV over a 12-year period (2012-2024). All pts met the American College of Rheumatology criteria for EGPA and GPA and the criteria of the last Chapell Hill CoTansensus Conference in 2012 for these vasculitides and MPA. Demographic variables, follow-up time, and mortality were analyzed.

Thirty-four pts were included in this study. Mean follow-up of 55.8± 45.84 months. Mean age at baseline was 67.21± 14.78 years (range, 33-92 years). Female to male ratio was 16:18. Eight pts (23.5%) met the criteria for GPA, three pts (8.8%) for EGPA and twenty-three (67.6%) for MPA. Kidney involvement (KI) was the most frequently manifestation, present in almost all MPA and in most GPA compared to EGPA (95.6%, 75%, 33.3% respectively, p=0.011). Lung involvement (LI) was more frequent in GPA and EGPA (87.5%, 66.6%, respectively), and it occurred in one third of MPA cases (34.8%) (p=0.031).

Nine pts died (26.5%), 55.6% were male. The mean age of survivors and those who died was 65.4±14.7 years and 73.3±12 years, respectively (p=0.13). Classification of deceased pts according to subtypes: 4 were affected by MPA (17.4%), 4 by GPA (50%) and 1 by EGPA (33.3%) (p=0.19). The mean follow-up time was 32.5±14.8 months. KI was the most prominent clinical finding (87.5% of cases) and LI was present in 75% of pts. Mean creatinine and proteinuria were 7.1±2.8 mg/dl and 1.4±1.1 g/day, respectively. MPO antibody was more prevalent than PR3 (66.7% vs 33.3%, p=0.068), Hazard ratio=0.188 (95% confidence interval CI): 0.037 - 0.968, p=0.078).

Table 1 shows the multivariate logistic regression analysis performed to identify factors associated with mortality risk:

FeatureCoefficientOdds Ratio95% CI p-value
Age0.271.311.10 - 1.550.006
Sex (female)-0.180.840.65 - 1.080.145
Follow-up-0.0020.9980.996 - 1.0000.322
Haemoglobin-0.280.760.57 - 1.010.048
eGFR0.451.571.05 - 2.350.020
Proteinuria0.141.150.94 - 1.400.210
GPA0.681.971.15 - 3.420.029
EGPA0.121.130.88 - 1.430.310

1) The average age of deceased pts was higher than survivors. 2) Although the wide confidence interval suggesting variability, the risk of mortality was lower for MPO-positive pts compared to PR3-positive pts. 3) Advanced age, decreased kidney function (eGFR) and higher proteinuria levels were significant risk factors for mortality. On the contrary, higher hemoglobin levels and a diagnosis of MAP were associated with a better prognosis. These results underscore the importance of monitoring specific clinical markers in the management of this pts.

Kewords