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AGR+PNI as Predictors of Systemic Lupus Erythematosus Disease Activity

S

Sohag University

Status

Not yet enrolling

Conditions

Systemic Lupus Erythematosus Disease

Treatments

Diagnostic Test: Albumin to globulin ratio and prognostic nutritional index model

Study type

Observational

Funder types

Other

Identifiers

NCT07043153
Soh-Med--25-6-1MS

Details and patient eligibility

About

This study aims to evaluate the clinical utility of combining the albumin to globulin ratio (AGR) and the prognostic nutritional index (PNI) as a predictive model for assessing disease activity in patients with systemic lupus erythematosus (SLE). By correlating these nutritional and inflammatory markers with clinical manifestations and laboratory parameters, we hope to establish a simple, non-invasive, and cost-effective tool to aid in monitoring disease activity in Systemic lupus erythematosus patients.

Enrollment

140 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • · Age ≥ 18 years.

    • Both sexes.
    • Patients diagnosed with SLE who fulfilling the Systemic Lupus International Collaborating Clinics (SLICC) classification criteria and matched controls.

Exclusion criteria

  • Co-existing chronic inflammatory or autoimmune diseases.
  • Age <18 years
  • Malignancy.
  • Pregnancy or lactation.
  • Chronic liver or renal insufficiency.
  • Malignant hematologic diseases.
  • Active hepatitis.
  • Acute infection within the previous four weeks

Trial design

140 participants in 2 patient groups

Active SLE group:patients with active (SLE), fulfilling the ACR/EULAR classification criteria,
Treatment:
Diagnostic Test: Albumin to globulin ratio and prognostic nutritional index model
Healthy controls:Age and sex-matched healthy individuals without any history of autoimmune diseases
Treatment:
Diagnostic Test: Albumin to globulin ratio and prognostic nutritional index model

Trial contacts and locations

1

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Central trial contact

Esam M Abualfadl, Professor; Hala A Hamid, Master

Data sourced from clinicaltrials.gov

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