Use of risk chart algorithms for the identification of psoriatic arthritis patients at high risk for cardiovascular disease: findings derived from the project CARMA cohort after a 7.5-year follow-up period.

OBJECTIVE: To assess the predictive value of four cardiovascular (CV) risk algorithms for identifying high-risk psoriatic arthritis (PsA) patients. METHODS: Evaluation of patients with PsA enrolled in the Spanish prospective project CARdiovascular in RheuMAtology. Baseline data of 669 PsA patients with no history of CV events at the baseline visit, who were followed in rheumatology outpatient clinics at tertiary centres for 7.5 years, were retrospectively analysed to test the performance of the Systematic Coronary Risk Assessment (SCORE), the modified version (mSCORE) European Alliance of Rheumatology Associations (EULAR) 2015/2016, the SCORE2 algorithm (the updated and improved version of SCORE) and the QRESEARCH risk estimator version 3 (QRISK3). RESULTS: Over 4790 years of follow-up, there were 34 CV events, resulting in a linearised rate of 7.10 per 1000 person-years (95% CI 4.92 to 9.92). The four CV risk scales showed strong correlations and all showed significant associations with CV events (p<0.001). SCORE, mSCORE EULAR 2015/2016 and QRISK3 effectively differentiated between low and high CV risk patients, although the cumulative rate of CV events observed over 7.5 years was lower than expected based on the frequency predicted by these risk scales. Additionally, model improvement was observed when combining QRISK3 with any other scale, particularly the combination of QRISK3 and SCORE2, which yielded the lowest Akaike information criterion (411.15) and Bayesian information criterion (420.10), making it the best predictive model. CONCLUSIONS: Risk chart algorithms are very useful for discriminating PsA at low and high CV risk. An integrated model featuring QRISK3 and SCORE2 yielded the optimal synergy of QRISK3's discrimination ability and SCORE2's calibration accuracy.

The effects of truncal adiposity in forced spirometry: Sex differences.

The aim of the current paper is to establish the influence of truncal fat accumulation on the spirometric results of a group of healthy individuals. A cross-sectional study of 305 healthy, non-smoking adult subjects (144 males, 161 females) was conducted. Forced spirometry and dual-energy X-ray absorptiometry to quantify body fat were performed. Partial correlation and multiple linear regression analyses were performed. In females, abdominal fat was negatively correlated with forced vital capacity (FVC) and forced expiratory volume in one second (FEV1). In males, thoracic fat was negatively correlated with respiratory variables, as was abdominal fat. In the multiple linear regression, FEV1 was the spirometric parameter that showed higher R2 values in both sexes. Truncal fat had a greater influence on FEV1 than on FVC. In males, no significant differences between the influence of thoracic and abdominal fat on spirometric results were found, and total body fat was shown to have more influence than regional. In females, the influence of abdominal fat was higher.

Hemorragia digestiva alta (estómago de sandía) en paciente con esclerodermia limitada (síndrome de CREST) / Upper gastrointestinal bleeding (watermelon stomach) in a patient with limited scleroderma (CREST syndrome)

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Asociación de la masa muscular determinada mediante DEXA con los resultados espirométricos de individuos sanos / Relationship of Muscle Mass Determined by DEXA with Spirometric Results in Healthy Individuals

Introducción: La cantidad de masa muscular podría ser un factor determinante que explicara la variabilidad de los resultados de la espirometría en individuos del mismo sexo y edad y de características antropométricas similares. El objetivo de este estudio es determinar si existe asociación entre los resultados espirométricos de individuos sanos y su masa muscular estimada mediante absorciometría de rayosX (DEXA). Métodos: Se estudió una muestra de 161 mujeres y 143 varones sanos, no fumadores, de 18 a 77 años. En cada sujeto se registraron los resultados de una espirometría y los valores de la masa magra total y regional obtenidos mediante DEXA. Se realizó un análisis descriptivo de las variables y un análisis de regresión para estudiar las relaciones entre variables espirométricas y masa magra, corrigiendo los efectos que pudieran ejercer la edad y el índice de masa corporal (IMC). Resultados: En ambos sexos todas las variables de masa magra se correlacionan de forma positiva y significativa con las variables espirométricas, siendo estas relaciones mayores en los varones. Al ajustar estas correlaciones de forma parcial por la edad y el IMC, lo que mejor explica las variables espirométricas es la masa magra en las extremidades inferiores en varones, y la masa magra del tronco en mujeres. Conclusiones: En los varones, la masa muscular en las extremidades inferiores es la que más se asocia a los resultados espirométricos. En las mujeres es la masa muscular del tronco. En ambos sexos la masa muscular influye principalmente sobre el volumen espiratorio forzado en el primer segundo (FEV1) (AU)

Introduction: Muscle mass maybe a determining factor in the variability of spirometry results in individuals of the same sex and age who have similar anthropometric characteristics. The aim of this study was to determine the association between spirometric results from healthy individuals and their muscle mass assessed by dual energy X-ray absorptiometry (DEXA). Methods: A sample of 161 women and 144 men, all healthy non-smokers, was studied. Ages ranged from 18 to 77 years. For each subject, spirometry results and total and regional lean mass values obtained by full body DEXA were recorded. A descriptive analysis of the variables and a regression analysis were performed to study the relationship between spirometric variables and lean body mass, correcting for age and body mass index (BMI). Results: In both sexes all muscle mass variables correlated positively and significantly with spirometric variables, and to a greater extent in men. After partial adjustment of correlations by age and BMI, the factor which best explains the spirometric variables is the total lean body mass in men, and trunk lean body mass in women. Conclusions: In men, muscle mass in the lower extremities is most closely associated with spirometric results. In women, it is the muscle mass of the trunk. In both sexes muscle mass mainly affects FEV1 (AU)

Relationship of Muscle Mass Determined by DEXA with Spirometric Results in Healthy Individuals. / Asociación de la masa muscular determinada mediante DEXA con los resultados espirométricos de individuos sanos.

INTRODUCTION: Muscle mass maybe a determining factor in the variability of spirometry results in individuals of the same sex and age who have similar anthropometric characteristics. The aim of this study was to determine the association between spirometric results from healthy individuals and their muscle mass assessed by dual energy X-ray absorptiometry (DEXA). METHODS: A sample of 161 women and 144 men, all healthy non-smokers, was studied. Ages ranged from18 to77years. For each subject, spirometry results and total and regional lean mass values obtained by full body DEXA were recorded. A descriptive analysis of the variables and a regression analysis were performed to study the relationship between spirometric variables and lean body mass, correcting for age and body mass index (BMI). RESULTS: In both sexes all muscle mass variables correlated positively and significantly with spirometric variables, and to a greater extent in men. After partial adjustment of correlations by age and BMI, the factor which best explains the spirometric variables is the total lean body mass in men, and trunk lean body mass in women. CONCLUSIONS: In men, muscle mass in the lower extremities is most closely associated with spirometric results. In women, it is the muscle mass of the trunk. In both sexes muscle mass mainly affects FEV1.

Displasia fibrosa poliostótica. Datos importantes que el reumatólogo debe conocer / Polyostotic fibrous dysplasia. Important facts that the rheumatologist should know

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«Hipermovilidad benigna»-síndrome de Ehlers-Danlos hiperlaxo. Otras comorbilidades asociadas / “Benign hypermobility”-hyperlax Ehlers-Danlos syndrome. Other comorbidities

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