OBJECTIVE: To assess the risk and predictors of lymphoma development in a large cohort of patients with primary Sjögren's syndrome (pSS). METHODS: Cox-regression analyses were used to study the predictive value of clinical and laboratory findings at pSS diagnosis, and Kaplan-Meier survival curves to compare survival probability between patients who developed lymphoma and the total cohort. Expected risk for lymphoma was calculated by comparison with the background population. RESULTS: Eleven (4.5%) from 244 patients developed a non-Hodgkin lymphoma (NHL). Diffuse large B-cell and mucosa-associated lymphoid tissue lymphomas occurred at a similar frequency. Three (27.3%) patients died: 2 due to transformation from mucosa-associated lymphoid tissue to diffuse large B-cell. Purpura (HR 8.04, 95% confidence interval [CI] 2.33-27.67), parotidomegaly (HR 6.75, 95%CI 1.89-23.99), anemia (HR 3.43, 95%CI 1.04-11.35), leukopenia (HR 8.70, 95%CI 2.38-31.82), lymphocytopenia (HR 16.47, 95%CI 3.45-78.67), hypergammaglobulinemia (HR 4.06, 95%CI 1.06-15.58), low C3 (HR 36.65, 95%CI 10.65-126.18), and low C4 (HR 39.70, 95%CI 8.85-126.18) levels at pSS diagnosis were significant predictors of NHL development, but only hypocomplementemia and lymphocytopenia were independent risk factors. Hypocomplementemia was related to earlier development of NHL and higher mortality. The cumulative risk of developing lymphoma ranged from 3.4% in the first 5 years to 9.8% at 15 years. Standardized incidence ratio (95%CI) for NHL development was 15.6 (95%CI 8.7-28.2). CONCLUSIONS: Patients with pSS have a 16-fold increased risk of developing lymphoma. This risk increases with time. Hypocomplementemia and lymphocytopenia at pSS diagnosis are the strongest predictors. Survival is clearly reduced in patients with hypocomplementemia. Indolent lymphomas tend to evolve over time toward a more aggressive histologic type.
OBJECTIVE: To assess the risk and predictors of lymphoma development in a large cohort of patients with primary Sjögren's syndrome (pSS). METHODS: Cox-regression analyses were used to study the predictive value of clinical and laboratory findings at pSS diagnosis, and Kaplan-Meier survival curves to compare survival probability between patients who developed lymphoma and the total cohort. Expected risk for lymphoma was calculated by comparison with the background population. RESULTS: Eleven (4.5%) from 244 patients developed a non-Hodgkin lymphoma (NHL). Diffuse large B-cell and mucosa-associated lymphoid tissue lymphomas occurred at a similar frequency. Three (27.3%) patients died: 2 due to transformation from mucosa-associated lymphoid tissue to diffuse large B-cell. Purpura (HR 8.04, 95% confidence interval [CI] 2.33-27.67), parotidomegaly (HR 6.75, 95%CI 1.89-23.99), anemia (HR 3.43, 95%CI 1.04-11.35), leukopenia (HR 8.70, 95%CI 2.38-31.82), lymphocytopenia (HR 16.47, 95%CI 3.45-78.67), hypergammaglobulinemia (HR 4.06, 95%CI 1.06-15.58), low C3 (HR 36.65, 95%CI 10.65-126.18), and low C4 (HR 39.70, 95%CI 8.85-126.18) levels at pSS diagnosis were significant predictors of NHL development, but only hypocomplementemia and lymphocytopenia were independent risk factors. Hypocomplementemia was related to earlier development of NHL and higher mortality. The cumulative risk of developing lymphoma ranged from 3.4% in the first 5 years to 9.8% at 15 years. Standardized incidence ratio (95%CI) for NHL development was 15.6 (95%CI 8.7-28.2). CONCLUSIONS:Patients with pSS have a 16-fold increased risk of developing lymphoma. This risk increases with time. Hypocomplementemia and lymphocytopenia at pSS diagnosis are the strongest predictors. Survival is clearly reduced in patients with hypocomplementemia. Indolent lymphomas tend to evolve over time toward a more aggressive histologic type.
Authors: Mario García-Carrasco; Claudia Mendoza-Pinto; César Jiménez-Hernández; Mario Jiménez-Hernández; Arnulfo Nava-Zavala; Carlos Riebeling Journal: Int J Clin Rheumtol Date: 2012-12
Authors: Barbara M Segal; Brian Pogatchnik; Lisa Henn; Kyle Rudser; Kathy Moser Sivils Journal: Arthritis Care Res (Hoboken) Date: 2013-08 Impact factor: 4.794
Authors: Maria B Nishishinya; Claudia A Pereda; Santiago Muñoz-Fernández; José M Pego-Reigosa; Iñigo Rúa-Figueroa; José-Luis Andreu; Mónica Fernández-Castro; José Rosas; Estibaliz Loza Santamaría Journal: Rheumatol Int Date: 2014-06-05 Impact factor: 2.631