Utility of pan-immune-inflammation value as a predictor of the prognosis of childhood lupus

Author:

Alasmari Ali1,Aldakhil Haifa2,Almutairi Abdulaziz3,Nashawi Mohammed4ORCID,Basahl Emtenan4,Abushhaiwia Awatif5,Hashad Soad5,Etayari Hala5,Elfawires Yusra5,Khawaja Khulood Walid6,Bakry Reima7,Akbar Lujayn8,De Vol Edward2,AlSaleem Alhanouf1,Al-Mayouf Sulaiman M19ORCID

Affiliation:

1. Pediatric Rheumatology, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia

2. Department of Biostatistics, Epidemiology and Scientific Computing, King Faisal Specialist Hospital and Research Centre, Riyadh, Saudi Arabia

3. Department of Pediatric Rheumatology, King Saud Medical City, Riyadh, Saudi Arabia

4. Department of Pediatrics, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia

5. Pediatric Rheumatology, Tripoli Children Hospital, Tripoli, Libya

6. Pediatric Rheumatology, Sheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates

7. Department of Pediatric, Maternity and Children Specialized Hospital, Jeddah, Saudi Arabia

8. Department of Pediatrics, King Fahad University Hospital, Khobar, Saudi Arabia

9. College of Medicine, Alfaisal University, Riyadh, Saudi Arabia

Abstract

Background Systemic lupus erythematosus (SLE) is a chronic inflammatory multisystemic disease. Monitoring disease activity thoughtout the disease course is important for effective management and assessment of disease outcome. Objective To assess whether the pan-immune inflammation value (PIIV) at diagnosis could predict organ involvement and disease activity in childhood SLE (cSLE) patients after 12 months of disease onst. Methods This is an observational retrospective multicenter study that comprised cSLE patients seen and followed at the participating centers between January 2010 and December 2022. All patients met the EULAR/ACR-19 criteria, were immunosuppressive drug-naïve at the time of SLE diagnosis and had a minimal follow-up period of 12 months. The data included clinical and laboratory findings and disease activity using the SLEDAI-2K. Receiver operating characteristic (ROC) curves were employed to determine the optimal cut-off value of PIIV and assess its predictive potential for disease activity, and organ involvement. Results A total of 125 patients (104 female) with a median age of 16.0 (IQR 5.6) years, a median age at disease onset of 10.9 (IQR 3.0) years, and a median disease duration of 4.8 (IQR 5.3) years were included. The most frequent involved organs at diagnosis were hematological (89.6%), musculoskeletal (68.8%), mucocutaneous (63.2%), and renal (58.4%). However, at a 12-month follow-up visit, the most frequent involved organs were renal (40.0%), hematological (39.2%), musculoskeletal (15.2%), and mucocutaneous (10.4%). The median PIIV at diagnosis was 139 (IQR 229.6), while the median SLEDAI was 12 (IQR 6.5) and 3.5 (IQR 7.0) at diagnosis and 12 months, respectively. An optimal PIIV cut-off of 250 was found to be a predicative for disease activity, with a sensitivity of 45% and a specificity of 86%. The study revealed that the PIIV successfully predicted four systems in our cohort of patients. Conclusion Our work suggests the PIIV might be a reasonable predictor for organ involvement and disease activity in newly diagnosed cSLE, though further research, particularly larger studies, is required to validate these findings, especially regarding organ involvement.

Publisher

SAGE Publications

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