02.01.01. Investigación y comunicación científica

Marked increase in cryptosporidiosis cases, Spain, 2023

2026-04-20T11:24:56Z

Marked increase in cryptosporidiosis cases, Spain, 2023 Peñuelas-Martínez, Marina; Carmena, David; Guzmán-Herrador, Bernardo-R; Palau-Miguel, Margarita; Saravia-Campelli, Gabriela; García-Álvarez, Rosa-María; Guerrero-Vadillo, Mariá; Dashti, Alejandro; Köster, Pamela-C; Guevara-Alemany, Esperanza; Simón-Soria, BackgroundBy mid-September 2023, several event notifications related to cryptosporidiosis had been identified from different regions in Spain. Therefore, a request for urgent notification of cryptosporidiosis cases to the National Surveillance Network was launched.AimWe aimed at assessing the extent of the increase in cases, the epidemiological characteristics and the transmission modes and compared to previous years.MethodsWe analysed data on case notifications, outbreak reports and genotypes focusing on June-October 2023 and compared the results to 2016-2022.ResultsIn 2023, 4,061 cryptosporidiosis cases were notified in Spain, which is an increase compared to 2016-2022. The cumulative incidence was 8.3 cases per 100,000 inhabitants in 2023, sixfold higher than the median of 1.4 cases per 100,000 inhabitants 2016-2022. Almost 80% of the cases were notified between June and October. The largest outbreaks were related to contaminated drinking water or swimming pools. Cryptosporidium hominis was the most common species in the characterised samples (115/122), and the C. hominis IfA12G1R5 subtype, previously unusual in Spain, was detected from 76 (62.3%) of the 122 characterised samples.ConclusionsA substantial increase in cryptosporidiosis cases was observed in 2023. Strengthening surveillance of Cryptosporidium is essential for prevention of cases, to better understand trends and subtypes circulating and the impact of adverse meteorological events.

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

2026-04-20T11:24:53Z

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 Polo-y-La-Borda, Jessica; Castañeda, Santos; Heras-Recuero, Elena; Sánchez-Alonso, Fernando; Plaza, Zulema; García-Gómez, Carmen; Ferraz-Amaro, Ivan; Sánchez-Costa, Jesús-Tomás; Sánchez-González, Olga-Carmen; Turrión-Nieves, Ana-Isabel; Pérez-Alcalá, Ana| 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.

Popular perception about the Canton of Cartagena (1873-74); [Percepção popular sobre o Cantão de Cartagena (1873-74)]; [Percepción popular sobre el Cantón de Cartagena (1873-74)]

2026-04-20T11:24:52Z

Popular perception about the Canton of Cartagena (1873-74); [Percepção popular sobre o Cantão de Cartagena (1873-74)]; [Percepción popular sobre el Cantón de Cartagena (1873-74)] Carrión-García, Eduardo

International Lower Limb Collaborative Paediatric subpopulation analysis (INTELLECT-P) study: multicentre, international, retrospective audit of paediatric open fractures

2026-04-20T11:24:53Z

International Lower Limb Collaborative Paediatric subpopulation analysis (INTELLECT-P) study: multicentre, international, retrospective audit of paediatric open fractures Allan, Anna-Y; Berner, Juan-E; Chan, James-K; Gardiner, Matthew-D; Nanchahal, Jagdeep; Jain, Abhilash; Navia, A; Tejos, R; Ortega-Briones, A; Rakhorst, HA; Nolan, G; Samarendra, H; Mohan, A; Cooper, K; Skillman, J; Kennedy, A; Qureshi, A; Wallis, K; Harry