Tuberculosis is the predominant infection in systemic sclerosis: thirty-year retrospective study of serious infections from a single centre.
Abhishek Gollarahalli PatelSakir AhmedJyoti Ranjan ParidaSarit Sekhar PattanaikLatika GuptaAggarwal AmitaAble LawrenceDurga Prasanna MisraAlok NathZia HashimAjmal KhanRicha MishraAkshatha RavindraNamita MohindraNeeraj JainVikas AgarwalPublished in: Rheumatology international (2024)
To look for the spectrum of infections and the factors predisposing to infection in patients with systemic sclerosis (SSc). In this retrospective study, demographic, clinical features, details of infections, immunosuppressive therapy, and outcomes of patients with SSc attending clinics at department of Clinical Immunology and Rheumatology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, India from 1990 to 2022 were captured. Multivariable-adjusted logistic regression was applied to identify independent predictors of infection. Data of 880 patients, mean age 35.5 ± 12 years, and female: male ratio 7.7:1, were analyzed. One hundred and fifty-three patients had at least 1 infection with a total of 233 infectious episodes. Infections were most common in lung followed by skin and soft tissue. Tuberculosis was diagnosed in 45 patients (29.4%). Klebsiella was the commonest non-tubercular organism in lung and Escherichia coli in urinary tract infections. In comparison to matched control group, patients with infection had a greater number of admissions due to active disease, odds ratio (OR) 6.27 (CI 3.23-12.18), were receiving immunosuppressive medication OR, 5.05 (CI 2.55-10.00), and had more digital ulcers OR, 2.53 (CI 1.17-5.45). Patients who had infection had more likelihood for death OR, 13.63 (CI 4.75 -39.18). Tuberculosis is the commonest infection and lung remains the major site of infection in patients with SSc. Number of hospital admissions, digital ulcers and immunosuppressive therapy are predictors of serious infection in patients with SSc. Patients with infections had more likelihood of death.
Keyphrases
- systemic sclerosis
- escherichia coli
- end stage renal disease
- newly diagnosed
- ejection fraction
- mycobacterium tuberculosis
- chronic kidney disease
- interstitial lung disease
- healthcare
- prognostic factors
- primary care
- urinary tract infection
- type diabetes
- skeletal muscle
- machine learning
- metabolic syndrome
- rheumatoid arthritis
- pulmonary tuberculosis
- pseudomonas aeruginosa
- adipose tissue
- hiv aids
- deep learning
- systemic lupus erythematosus
- hepatitis c virus
- hiv infected
- adverse drug
- juvenile idiopathic arthritis