Prevalence and impact of cerebrovascular risk factors in patients with giant cell arteritis: An observational study from the Spanish national registry / Prevalencia e impacto de los factores de riesgo cerebrovascular en pacientes con arteritis de células gigantes: un estudio observacional del registro nacional español

Objective To assess the prevalence and impact of cerebrovascular risk factors (CRF) on cerebrovascular events (CVE) in patients with giant cell arteritis (GCA). Methods Analysis of the patients diagnosed with GCA identified in the Spanish Hospital Discharge Database between 2016 and 2018. Results 8,474 hospital admissions from patients diagnosed with GCA were identified. 3.4% of the admissions were motivated by CVE (stroke in 2.8% and transient ischemic attack in 0.6%). When compared with the admissions due to other causes, the patients who suffered from CVE presented a higher rate of male sex (36.2% vs 43.5%, p=0.007), hypertension (66.9% vs 74.4%, p=0.004), diabetes (27.6% vs 33.7%, p=0.016) and atherosclerosis (6.6% vs 10.2%, p=0.0.017). After adjustment, male sex (OR=1.35, 95% CI 1.06–1.72) and mainly hypertension (OR=1.44, 95% CI 1.11–1.90) were associated with a higher risk of CVE. Conclusion Hypertension, along with male sex, was the strongest risk factor for cerebrovascular events in GCA patients. In these high-risk patients, antiplatelet therapy should be re-considered and evaluated in prospective studies (AU)

Objetivo Evaluar la prevalencia e impacto de los factores de riesgo cerebrovasculares en los episodios cerebrovasculares (ECV) de pacientes con arteritis de células gigantes (ACG). Métodos Análisis de los pacientes diagnosticados con ACG identificados en la base de altas hospitalarias española entre 2016 y 2018. Resultados Se identificaron 8.474 ingresos hospitalarios en pacientes diagnosticados de ACG. El 3,4% de los ingresos se atribuyó a ECV (ictus en 2,8% y accidente isquémico transitorio en 0,6%). En comparación con los ingresos por otras causas, los pacientes que presentaron ECV mostraron una mayor tasa de sexo masculino (36,2 frente a 43,5%, p=0,007), hipertensión (66,9 frente a 74,4%, p=0,004), diabetes (27,6 frente a 33,7%, p=0,016) y aterosclerosis (6,6 frente a 10,2%, p=0,0017). Tras el ajuste, el sexo masculino (OR=1,35, IC 95% 1,06-1,72) y principalmente la hipertensión (OR=1,44, IC 95% 1,11-1,90) se asociaron con un mayor riesgo de ECV. Conclusión La hipertensión, junto con el sexo masculino, fueron los principales factores de riesgo de ECV en los pacientes con ACG. En estos pacientes de alto riesgo, el tratamiento con antiagregantes debería reconsiderarse y evaluarse en estudios prospectivos (AU)

Prevalence and impact of cerebrovascular risk factors in patients with giant cell arteritis: An observational study from the Spanish national registry.

OBJECTIVE: To assess the prevalence and impact of cerebrovascular risk factors (CRF) on cerebrovascular events (CVE) in patients with giant cell arteritis (GCA). METHODS: Analysis of the patients diagnosed with GCA identified in the Spanish Hospital Discharge Database between 2016 and 2018. RESULTS: 8,474 hospital admissions from patients diagnosed with GCA were identified. 3.4% of the admissions were motivated by CVE (stroke in 2.8% and transient ischemic attack in 0.6%). When compared with the admissions due to other causes, the patients who suffered from CVE presented a higher rate of male sex (36.2% vs 43.5%, p=0.007), hypertension (66.9% vs 74.4%, p=0.004), diabetes (27.6% vs 33.7%, p=0.016) and atherosclerosis (6.6% vs 10.2%, p=0.0.017). After adjustment, male sex (OR=1.35, 95% CI 1.06-1.72) and mainly hypertension (OR=1.44, 95% CI 1.11-1.90) were associated with a higher risk of CVE. CONCLUSION: Hypertension, along with male sex, was the strongest risk factor for cerebrovascular events in GCA patients. In these high-risk patients, antiplatelet therapy should be re-considered and evaluated in prospective studies.

Machine learning insights concerning inflammatory and liver-related risk comorbidities in non-communicable and viral diseases.

The liver is a key organ involved in a wide range of functions, whose damage can lead to chronic liver disease (CLD). CLD accounts for more than two million deaths worldwide, becoming a social and economic burden for most countries. Among the different factors that can cause CLD, alcohol abuse, viruses, drug treatments, and unhealthy dietary patterns top the list. These conditions prompt and perpetuate an inflammatory environment and oxidative stress imbalance that favor the development of hepatic fibrogenesis. High stages of fibrosis can eventually lead to cirrhosis or hepatocellular carcinoma (HCC). Despite the advances achieved in this field, new approaches are needed for the prevention, diagnosis, treatment, and prognosis of CLD. In this context, the scientific com-munity is using machine learning (ML) algorithms to integrate and process vast amounts of data with unprecedented performance. ML techniques allow the integration of anthropometric, genetic, clinical, biochemical, dietary, lifestyle and omics data, giving new insights to tackle CLD and bringing personalized medicine a step closer. This review summarizes the investigations where ML techniques have been applied to study new approaches that could be used in inflammatory-related, hepatitis viruses-induced, and coronavirus disease 2019-induced liver damage and enlighten the factors involved in CLD development.

Impact of severe infections in SLE: an observational study from the Spanish national registry.

OBJECTIVE: Infections are a common complication of SLE. Our objective was to evaluate their causes and impact on the survival of patients with SLE. METHODS: Analysis of the admissions and death causes in patients diagnosed with SLE from the Spanish Hospital Discharge Database and the infection-related deaths of the Spanish population from the National Statistical Institute, between 2016 and 2018.Only infections recorded as the main diagnosis were analysed (severe or clinically relevant infection). RESULTS: Among 18 430 admissions in patients with SLE, disease activity was the cause of admission in 19% of all patients and infection in 15%. However, infection was the main cause of death (25%) while SLE activity was responsible for only 6% of deaths (p<0.001). Severe infection exceeded SLE as a cause of death for patients dying at ages between 40-59 (23% vs 4%, p<0.001), 60-79 (26% vs 6%, p<0.001) and older than 80 years (25% vs 6%, p<0.001). Infection was the cause of death in 8% of the Spanish population, a significantly lower rate when compared with patients with SLE (p<0.001). Compared with the general population, infections were the highest relative cause of death in patients with SLE, particularly at younger ages: 40% vs 3% for those below 20 years old (p<0.01), 33% vs 4% between 20 and 39 (p<0.001), 23% vs 5% between 40 and 59 (p<0.001), 26% vs 5% between 60 and 79 (p<0.001) and 25% vs 9% for those older than 80 years (p<0.001). CONCLUSION: Our nationwide study confirms that infections are the leading cause of death in SLE in Spain, with the highest proportion occurring in young patients with lupus compared with the general population of the same age range.

The Role of Nutrition on Meta-inflammation: Insights and Potential Targets in Communicable and Chronic Disease Management.

PURPOSE OF REVIEW: Chronic low-grade inflammation may contribute to the onset and progression of communicable and chronic diseases. This review examined the effects and eventual mediation roles of different nutritional factors on inflammation. RECENT FINDINGS: Potential nutritional compounds influencing inflammation processes include macro and micronutrients, bioactive molecules (polyphenols), specific food components, and culinary ingredients as well as standardized dietary patterns, eating habits, and chrononutrition features. Therefore, research in this field is still required, taking into account critical aspects of heterogeneity including type of population, minimum and maximum intakes and adverse effects, cooking methods, physiopathological status, and times of intervention. Moreover, the integrative analysis of traditional variables (age, sex, metabolic profile, clinical history, body phenotype, habitual dietary intake, physical activity levels, and lifestyle) together with individualized issues (genetic background, epigenetic signatures, microbiota composition, gene expression profiles, and metabolomic fingerprints) may contribute to the knowledge and prescription of more personalized treatments aimed to improving the precision medical management of inflammation as well as the design of anti-inflammatory diets in chronic and communicable diseases.

Usefulness of the hemogram as a measure of clinical and serological activity in systemic lupus erythematosus.

Background and objectives: Systemic Lupus Erythematosus (SLE) follow-up is based on clinical, and analytical parameters. We aimed to determine the differences between the Neutrophil-to-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR) and Red blood cell distribution width (RDW) between SLE patients and healthy controls and to assess their association with anemia status, classical inflammatory biomarkers and cytokines, disease activity, SLE related factors and treatment received for SLE. Methods: Seventy-seven patients with SLE according to 2012 SLICC criteria and 80 healthy controls were included. Patients with SLE were classified in SLE with anemia (SLE-a) and SLE without anemia (SLE-na). Statistical analysis between SLE patients and controls and the association of serological and clinical activity markers with proposed hematological indices among SLE patients were performed. Results: RDW, NLR and PLR, were significantly higher in SLE patients than in healthy control group (p < 0.001), in SLE-a patients as compared to SLE-na (p < 0.0001) and were significantly associated with hypocomplementemia (p < 0.05). PLR was higher in active patients measured by SLEDAI-2K score and with longer disease duration (p < 0.05). RDW was associated with serological activity of the patients (p < 0.05) and was correlated with SLEDAI-2K and SLICC/ACR scores, hsCRP, D-dimer, fibrinogen, IL-6 and TNF as well as with corticosteroids intake (p = 0.05). A logistic regression analysis confirmed that after adjustment by age and hemoglobin values, RDW presented linear correlation with IL-6 levels (Beta-coefficient = 0.369, p = 0.003). Conclusion: NLR, PLR and RDW values suggest SLE serological and clinical activity. Given their availability, these markers not only could be useful tools to identify and monitor active SLE patients but whose application should be considered in inflammatory pathologies orchestrated by IL-6 and TNF.

Mortality by COVID-19 Before Vaccination - One Year Experience of Hospitalized Patients in Madrid.

OBJECTIVES: The aim of the study was to analyze the mortality and characteristics of deceased patients with COVID-19 during the first year of the pandemic. METHODS: All admissions owing to COVID-19 at a tertiary hospital in Madrid were analyzed. Three waves were considered: March 2020 to June 2020, July 2020 to November 2020, and December 2020 to April 2021. RESULTS: A total of 3,676 patients were identified. Among inpatients, no differences regarding age, sex, length of admission, or mortality were found between the 3 waves (p >0.05). The overall mortality rate was 12.9%. Among deceased patients, the median age was 82 years and the median Charlson Comorbidity Index was 6. Considering the main predictors for mortality by COVID-19 (age, sex, and concomitant comorbidities), only patients with previous lung disease were more prevalent in the third period (p <0.01). Finally, higher intensive care unit admission rates, a lower rate of patients coming from nursing homes, and a lower rate of patients with dementia were noted in the third period (p <0.05) among deceased patients. CONCLUSION: One year after the onset of the pandemic, the mortality rate of hospitalized patients and the profile of non-survivors have not changed significantly. In the absence of vaccine benefits, advanced age and multiple pathologies are uniform characteristics of non-survivors.

Synergistic Activity of Deguelin and Fludarabine in Cells from Chronic Lymphocytic Leukemia Patients and in the New Zealand Black Murine Model.

B-cell chronic lymphocytic leukemia (CLL) remains an incurable disease, and despite the improvement achieved by therapeutic regimes developed over the last years still a subset of patients face a rather poor prognosis and will eventually relapse and become refractory to therapy. The natural rotenoid deguelin has been shown to induce apoptosis in several cancer cells and cell lines, including primary human CLL cells, and to act as a chemopreventive agent in animal models of induced carcinogenesis. In this work, we show that deguelin induces apoptosis in vitro in primary human CLL cells and in CLL-like cells from the New Zealand Black (NZB) mouse strain. In both of them, deguelin dowregulates AKT, NFκB and several downstream antiapoptotic proteins (XIAP, cIAP, BCL2, BCL-XL and survivin), activating the mitochondrial pathway of apoptosis. Moreover, deguelin inhibits stromal cell-mediated c-Myc upregulation and resistance to fludarabine, increasing fludarabine induced DNA damage. We further show that deguelin has activity in vivo against NZB CLL-like cells in an experimental model of CLL in young NZB mice transplanted with spleen cells from aged NZB mice with lymphoproliferation. Moreover, the combination of deguelin and fludarabine in this model prolonged the survival of transplanted mice at doses of both compounds that were ineffective when administered individually. These results suggest deguelin could have potential for the treatment of human CLL.