BackgroundThe purpose of this study is to characterize the risk of cancer in a large cohort of patients with primary Sjögren syndrome (SjS).MethodsWe had analyzed the development of cancer in 1300 consecutive patients fulfilling the 2002 SjS classification criteria. The baseline clinical and immunological characteristics and systemic activity (ESSDAI scores) were assessed at diagnosis as predictors of cancer using Cox proportional hazards regression analysis adjusted for age at diagnosis and gender. The sex-and age-specific standardized incidence ratios (SIR) of cancer were estimated from 2012 Spanish mortality data.ResultsAfter a mean follow-up of 91 months, 127 (9.8%) patients developed 133 cancers. The most frequent type of cancer was B-cell lymphoma (including 27 MALT and 19 non-MALT B-cell lymphomas). Systemic activity at diagnosis of primary SjS correlated with the risk of hematological neoplasia and cryoglobulins with a high risk of either B-cell or non-B-cell lymphoma subtypes. Patients with cytopenias had a high risk of non-MALT B-cell and non-B-cell cancer, while those with low C3 levels had a high risk of MALT lymphomas and those with monoclonal gammopathy and low C4 levels had a high risk of non-MALT lymphomas. The estimated SIR for solid cancer was 1.13 and 11.02 for hematological cancer. SIRs for specific cancers were 36.17 for multiple myeloma and immunoproliferative diseases, 19.41 for Hodgkin lymphoma, 6.04 for other non-Hodgkin lymphomas, 5.17 for thyroid cancer, 4.81 for cancers of the lip and oral cavity, and 2.53 for stomach cancer.ConclusionsOne third of cancers developed by patients with primary SjS are B-cell lymphomas. The prognostic factors identified at SjS diagnosis differed according to the subtype of B-cell lymphoma developed. Primary SjS is also associated with the development of some non-hematological cancers (thyroid, oral cavity, and stomach).Electronic supplementary materialThe online version of this article (doi:10.1186/s13045-017-0464-5) contains supplementary material, which is available to authorized users.
Background Advanced age is a well-known risk factor for poor prognosis in COVID-19. However, few studies have specifically focused on very old inpatients with COVID-19. This study aims to describe the clinical characteristics of very old inpatients with COVID-19 and identify risk factors for in-hospital mortality at admission. Methods We conducted a nationwide, multicenter, retrospective, observational study in patients ≥80 years hospitalized with COVID-19 in 150 Spanish hospitals (SEMI-COVID-19) Registry (March 1–May 29, 2020). The primary outcome was in-hospital mortality. A uni- and multivariate logistic regression was performed to assess predictors of mortality at admission. Results 2,772 consecutive patients (49.4% men, median age 86.3 years) were analyzed. Rates of atherosclerotic cardiovascular disease, diabetes mellitus, dementia, and Barthel Index <60 were 30.8%, 25.6%, 30.5%, and 21.0%, respectively. The overall case-fatality rate was 46.9% (n:1,301) and increased with age (80-84 years:41.6%; 85-90 years:47.3%; 90-94 years:52.7%; ≥95 years:54.2%). After analysis, male sex and moderate-to-severe dependence were independently associated with in-hospital mortality; comorbidities were not predictive. At admission, independent risk factors for death were: SatO2 <90%; temperature ≥37.8ºC; qSOFA score ≥2; and unilateral-bilateral infiltrates on chest X-rays. Some analytical findings were independent risk factors for death, including eGFR <45 ml/min/1.73m 2; lactate dehydrogenase ≥500 U/L; CRP ≥80 mg/L; neutrophils ≥7.5x10 3/μL; lymphocytes <0.8x10 3/μL; and monocytes <0.5 x 10 3/μL. Conclusions This first large, multicenter cohort of very old inpatients with COVID-19 shows that age, male sex, and poor pre-admission functional status—not comorbidities—are independently associated with in-hospital mortality. Severe COVID-19 at admission is related to poor prognosis.
SummaryThis international retrospective study of 593 Splenic Marginal Zone Lymphoma (SMZL) patients aimed to identify factors that determine treatment initiation and influence lymphoma-specific survival (LSS). Logistic regression was used to identify the factors associated with treatment. A Cox regression was used to analyse LSS in a derivation cohort of 366 patients. This produced a prognostic index (PI) and enabled the identification of three risk groups. The resulting stratification was validated in another cohort of 227 patients and compared with the Interguppo Italiano Linfomi (IIL) score in the group of 450 patients for whom all the required data were available using an extension of the net reclassification improvement. Haemoglobin concentration (Hb), extrahilar lymphadenopathy and hepatitis C virus status were associated with the initiation of treatment. Hb, platelet count, high lactate dehydrogenase level and extrahilar lymphadenopathy were independently associated with LSS. Three risk groups with significantly different five-year LSS (94%, 78% and 69%, respectively) were identified. This stratification (named HPLL on the basis of determinant factors) had a better discriminative power than the IIL score. This system is useful for stratifying SMZL patients into risk groups and may help in the selection of risk-tailored treatment approaches.
Background The COVID-19 outbreak challenges the Spanish health system since March 2020. Some available therapies (antimalarials, antivirals, biological agents) were grounded on clinical case observations or basic science data. The aim of this study is to describe the characteristics and impact of different therapies on clinical outcomes in a cohort of severe COVID-19 patients. Methods In this retrospective, single-center, observational study, we collected sequential data on adult patients admitted to Hospital Universitario Quironsalud Madrid. Eligible patients should have a microbiological (positive test on RT-PCR assay from a nasal swab) or an epidemiological diagnosis of severe COVID-19. Demographic, baseline comorbidities, laboratory data, clinical outcomes, and treatments were compared between survivors and non-survivors. We carried out univariate and multivariate logistic regression models to assess potential risk factors for in-hospital mortality. Findings From March 10th to April 15th, 2020, 607 patients were included. Median age was 69 years [interquartile range, {IQR} 22; 65% male). The most common comorbidities were hypertension (276 [46·94%]), diabetes (95 [16·16%]), chronic cardiac (133 [22·62%]) and respiratory (114 [19·39%]) diseases. 141 patients (23·2%) died. In the multivariate model the risk of death increased with older age (odds ratio, for every year of age, 1·15, [95% CI 1·11 - 1·2]), tocilizumab therapy (2·4, [1·13 - 5·11]), C-reactive protein at admission (1·07, per 10 mg/L, [1·04 - 1·10]), d -dimer > 2·5 μg/mL (1·99, [1·03 - 3·86]), diabetes mellitus (2·61, [1·19 - 5·73]), and the PaO 2 /FiO 2 at admission (0·99, per every 1 mmHg, [0·98 - 0·99]). Among the prescribed therapies (tocilizumab, glucocorticoids, lopinavir/ritonavir, hydroxychloroquine, cyclosporine), only cyclosporine was associated with a significant decrease in mortality (0·24, [0·12 - 0·46]; p <0·001). Interpretation In a real-clinical setting, inhibition of the calcineurin inflammatory pathway, NF-κΒ, could reduce the hyperinflammatory phase in COVID-19. Our findings might entail relevant implications for the therapy of this disease and could boost the design of new clinical trials among subjects affected by severe COVID-19. Funding Hospital Universitario Quironsalud Madrid. Own fundings for COVID-19 research.
Dalbavancin is a lipoglycopeptide with potent activity against Grampositive microorganisms, a long half-life, a favorable safety profile, and a high concentration in bone, which makes it an interesting alternative for treatment of osteoarticular infections. We performed a multicentric retrospective study of all patients with an osteoarticular infection (septic arthritis, spondylodiscitis, osteomyelitis, or orthopedic implant-related infection) treated with at least one dose of dalbavancin be-
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