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<title>02.00.01. Investigación y comunicación científica</title>
<link>https://sms.carm.es/ricsmur/handle/123456789/17624</link>
<description/>
<pubDate>Mon, 06 Apr 2026 15:39:26 GMT</pubDate>
<dc:date>2026-04-06T15:39:26Z</dc:date>
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<title>Phenotype-guided risk stratification in anticoagulated atrial fibrillation patients: Cluster analysis of the Murcia AF Project III (MAFP-III)</title>
<link>https://sms.carm.es/ricsmur/handle/123456789/25735</link>
<description>Phenotype-guided risk stratification in anticoagulated atrial fibrillation patients: Cluster analysis of the Murcia AF Project III (MAFP-III)
Soler-Espejo, Eva; Ramos-Bratos, María-Pilar; Chen, Yang; González-Lozano, Eduardo; Rivera-Caravaca, José-Miguel; Marín, Francisco; Roldán-Schilling, Vanesa; Lip, Gregory-Y-H
BACKGROUND: Atrial fibrillation (AF) is characterised by clinical heterogeneity owing to diverse risk factors and comorbidities. OBJECTIVE: We aimed to identify phenotypic AF clusters and their association with outcomes. METHODS: We prospectively included patients with anticoagulated AF between January 2016 and November 2021. Phenotypic clusters were identified using hierarchical clustering. Outcomes included thromboembolic events, major bleeding, major adverse cardiovascular events (MACE), cardiovascular and all-cause death, over a 2-year follow-up. RESULTS: Overall, 3259 patients with AF (median age 77; interquartile range [IQR] 70-83 years; 52.8% women) were included. Five phenotypic clusters were identified: Cluster 1: patients ?75 years with few comorbidities; Cluster 2: male patients ?75 years with high-risk lifestyle and metabolic profile; Cluster 3: patients &gt;75 years with stroke/transient ischaemic attack/thromboembolism history; Cluster 4: patients &gt;75 years with cancer history; and Cluster 5: patients &gt;75 years with multimorbidity. Cluster 5 consistently exhibited the highest relative risk across all outcomes. Compared with Cluster 1, adjusted Cox models showed significantly increased risks for: thromboembolic events (adjusted hazard ratio [aHR] range 2.37-3.31; highest in Cluster 5: aHR 3.31 [95% confidence interval [CI] 1.96-5.57]); major bleeding (aHR range 3.34-4.73; highest in Cluster 5: aHR 4.73 [95% CI 2.51-8.91]); MACE (aHR range 2.64-4.13; highest in Cluster 5: aHR 4.13 [95% CI 2.62-6.51]); cardiovascular death (aHR range 4.29-6.82; highest in Cluster 5: aHR 6.82 [95% CI 3.05-15.27]); and all-cause death (aHR range 2.47-4.18; highest in Cluster 5: aHR 4.18 [95% CI 2.77-6.31]). CONCLUSION: Cluster analysis revealed distinct phenotypic profiles among patients with AF, each associated with differential risks of adverse outcomes.
</description>
<pubDate>Sun, 01 Mar 2026 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://sms.carm.es/ricsmur/handle/123456789/25735</guid>
<dc:date>2026-03-01T00:00:00Z</dc:date>
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<item>
<title>Human versus machine: Can generative AI anticipate insect biological control outcomes?</title>
<link>https://sms.carm.es/ricsmur/handle/123456789/25383</link>
<description>Human versus machine: Can generative AI anticipate insect biological control outcomes?
Wyckhuys, Kris A. G.; Akutse, Komivi S.; Amalin, Divina M.; Araj, Salah-Eddin; Beltran, Marie Joy B.; Ben Fekih, Ibtissem; Calatayud, Paul-Andre; Cicero, Lizette; Cokola, Marcellin C.; Colmenarezm, Yelitza C.; Dessauvagesj, Kenza; Dubois, Thomas; Durocher-Grangern, Lena; Fernandez-Triana, Jose L.; Francis, Frederic; Haddi, Khalid; Harrison, Rhett D.; Haseeb, Muhammad; Iwanicki, Natasha S. A.; Jaber, Lara R.; Khamis, Fathiya M.; Legaspi, Jesusa C.; Lomeli-Flores, Refugio J.; Lyu, Baoqian; Montoya-Lerma, James; Nurkomar, Ihsan; O'hara, James E.; Perier, Jermaine D.; Ramirez-Romero, Ricardo; Sanchez-Garcia, Francisco J.; Tavares, Wagner De Souza; Robinson-Baker, Ann Marie S.; Silveira, Luis C. P.; Simeon, Larisner; Solter, Leellen F.; Santos-Amaya, Oscar F.; Trabanino, Rogelio; Valicente, Fernando H.; Vasquez, Carlos; Wang, Zhenying; Zang, Lian-Sheng; Zhang, Wei; Zimba, Kennedy J.; Wu, Kongming; Yubak, D. Gc
</description>
<pubDate>Sun, 01 Feb 2026 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://sms.carm.es/ricsmur/handle/123456789/25383</guid>
<dc:date>2026-02-01T00:00:00Z</dc:date>
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<item>
<title>Incidence and factors associated with disability and dependency in patients with Guillain-Barré syndrome in the Region of Murcia: Population study for the period 2009-2020</title>
<link>https://sms.carm.es/ricsmur/handle/123456789/25345</link>
<description>Incidence and factors associated with disability and dependency in patients with Guillain-Barré syndrome in the Region of Murcia: Population study for the period 2009-2020
Rueda-Nieto, S; Mira-Escolano, María-Pilar; Sánchez-Escámez, Antonia; Cayuela-Fuentes, Juana-María; Maceda-Roldán, L-A; Ciller-Montoya, P; Palomar-Rodríguez, Joaquín
BACKGROUND: The incidence of Guillain-Barré syndrome (GBS) is variable and is still unknown in our geographical area. Poor prognostic factors have been studied, but few have analysed those that influence long-term results. The objective of this study is to know the incidence, characteristics and factors associated with disability and dependency in these patients from a population registry. SUBJECTS AND METHODS: Observational study in patients diagnosed with GBS from 2009 to 2020 and registered in the Rare Disease Information System of the Region of Murcia (SIER). The crude and adjusted rates for age, sex and year of the period were calculated and the associations between disability and/or dependency with the rest of the variables were analysed. RESULTS: During the study period, 250 incident cases were diagnosed. The standardised incidence rate (SIR) was 1.52/100,000 person-years, higher in men and increasing with age in both sexes. The disease was more frequent after respiratory infections (46.4%) and in the cold months (56.4%), and the predominant variant was AIDP (54.3%). Greater disability and/or dependence were observed in patients with prolonged hospital stay (OR?=?13.19; 95% CI: 3.81-45.67), ICU admission (OR?=?2.37; 95% CI: 1.11-5.06) and affected by axonal variants (OR?=?3.54; 95% CI: 1.64-7.69) (P?&lt;?0.05). CONCLUSIONS: The regional SIR is consistent with that reported in the national and international literature. 18.4% of the cases have recognised dependency and/or disability, associated with the axonal forms of the disease. Studies based on population registries offer representative and updated information and allow us to discover characteristics associated with a worse prognosis.
</description>
<pubDate>Wed, 01 Oct 2025 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://sms.carm.es/ricsmur/handle/123456789/25345</guid>
<dc:date>2025-10-01T00:00:00Z</dc:date>
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<item>
<title>Exploring the utility of Preevid, an evidence-based answer service to clinical questions, during the COVID-19 pandemic</title>
<link>https://sms.carm.es/ricsmur/handle/123456789/25340</link>
<description>Exploring the utility of Preevid, an evidence-based answer service to clinical questions, during the COVID-19 pandemic
Rosa-Garcia, Concepcion; Mas-Bleda, Amalia; Moreno-Pina, Josefa Patricia; Pozo-Serrano, Isabel; Sanchez-Lopez, Maria del Carmen; Sanchez-Sanchez, Juan Antonio; Aguinaga-Ontoso, Enrique
BACKGROUND: Clinical question services offer evidence-based relevant clinical information allowing health professionals to obtain answers in a timely manner. OBJECTIVES: To explore the use and usefulness of Preevid, an evidence-based answering service for clinical questions, among health workers during the COVID-19 pandemic. METHODS: This study analyses the COVID-19-related clinical questions received in the Preevid service between 1 March 2020 and 28 February 2022. Particularly, it examines the topic, the type of professional who raised those questions, the epidemic period in which they were made, and the impact of the questions openly published on the Preevid online bank. RESULTS: Preevid service received 1111 clinical questions, of which 252 (22.7%) were about COVID-19 and half of these (132) were published on the online bank. The majority of COVID-19-related questions were about prevention (57.5%) and were mainly raised by physicians (57.9%) and nurses (34.1%). The Preevid question bank received 25,865,015 online views and it was mainly visited during the first months of the pandemic. COVID-19-related questions had 5,182,723 online views, of which 55% were originated in Spain. CONCLUSIONS: Preevid, the service that gives evidence-based answers to clinical questions, helps health professionals with clinical decision making and clinical practice, also in crisis situations such as a pandemic.
</description>
<pubDate>Mon, 01 Sep 2025 00:00:00 GMT</pubDate>
<guid isPermaLink="false">https://sms.carm.es/ricsmur/handle/123456789/25340</guid>
<dc:date>2025-09-01T00:00:00Z</dc:date>
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