List of Medicines to Avoid in Primary Care Health and Their Application In Polymedicated Patients

[Resumen] Introduction: La alta prevalencia del uso de medicación inadecuada y sus importantes consecuencias para la salud requieren herramientas específicas y ágiles que ayuden a detectarla y evitarla. Objetivo de este trabajo fue elaborar un listado de medicamentos a evitar en AP y aplicarlo en pacientes polimedicados de un servicio asistencial de Atención Primaria (AP). Métodos: En la Base de datos del Consejo General de Colegios Oficiales de Farmacéuticos español (BOT-Plus) se comprobó el estado y disponibilidad de cada uno de los 93 medicamentos del Listado Prescrire 2019. Se elaboró el Listado de medicamentos a evitar en AP con aquellos que estaban comercializados en España y se excluyeron los que no estaban financiados y los de uso exclusivo hospitalario. 2 2 Con el listado de medicamentos a evitar en AP se hizo un análisis retrospectivo de todos (N=262) los informes de prescripción de polimedicados >10 medicamentos del año 2017 en un servicio asistencial de AP (5 centros de salud). Se realizó análisis de frecuencias, medidas de tendencia central y dispersión; se estimaron (IC 95%) y se utilizó X o exacta de Fisher para determinar la asociación entre variables y análisis de regresión logística. Resultados: Se observó una prevalencia de polimedicados de 1,2%, con una media de edad de 71,7 ± 12,4 años y una media de prescripciones de 12 ±1,7 medicamentos. El listado de medicamentos a evitar en AP incluyó 45 principios activos. Los fármacos a evitar más usados han sido: duloxetina, sitagliptina y olmesartán. El 50,4% de los polimedicados tenían al menos un medicamento a evitar y una edad media de 68,5±11,8 años. El sexo fue un factor de riesgo de prescripción inadecuada, el hecho de ser mujer incrementa con un OR=1,8 (IC 95%=1,3-3,0) la probabilidad de medicamentos a evitar. Conclusiones: Un alto porcentaje de pacientes polimedicados tienen prescripto al menos un medicamento a evitar. El listado de medicamentos a evitar en AP es una herramienta útil para identificar la medicación inadecuada y para uso de los profesionales de AP.[Abstract] Introduction: The high prevalence of inappropriate medication use and its important health consequences for health require specific and agile tools to detect and avoid it. The objective of this work was to elaborate a list of medications to avoid in Primary Care and to apply it on the polymedicated patients of a Primary Care assistance service. Methods: In the Database of the Spanish General Council of Official Associations of Pharmacists (BOT-Plus) the status and availability of each of the 93 MAE of the Prescrire 2019 List was checked. The list of medications to be avoided in Primary Care was drawn up with those that were marketed in Spain and excluded those that were not financed and those for exclusive hospital use. With the list of medicines to avoid in Primary Care, a retrospective analysis was made of all the prescription reports of polimedicated >10 medications for 2017 in a Primary Care services (N=262) in 5 health centers. Frequency analysis, central tendency measures and dispersion were carried out; they were estimated [CI: 95%] and X or Fisher’s exact was used to determine the association between variables and logistic regression analysis. Results: A prevalence of polymedicated drugs of 1.2% was observed, with a mean age of 71.7 years (DT± 12.4) and a mean prescription of 12 drugs (DT±1.7). The list of medications to be avoided in PC included 45 active ingredients. The 50.4% of the polymedicated had at least one drug to avoid and an average age of 68.5 years (DT±11.8). Sex was a risk factor for inappropriate prescription, the fact of being a woman increases with an OR=1.8 (IC95%=1, 3-3.0) the probability of having some medicines to avoid. The most commonly used drugs to avoid were: duloxetine, sitagliptin and olmesartan. Conclusions: A high percentage of polymedicated patients are prescribed at least one drug to avoid. The Primary Care medication avoidance list is a useful tool for identifying inappropriate medication and for the use by Primary Care professionals

Biologic Therapy for Moderate to Severe Psoriasis. Real-World Follow-up of Patients Who Initiated Biologic Therapy at Least 10 Years Ago

[Abstract] Introduction: The aim of this study was to evaluate response and drug survival of biologic therapy in patients with moderate to severe plaque-type psoriasis who initiated biologic therapy at least 10 years ago, in a real-world setting. Methods: This was an observational retrospective follow-up study that included patients with moderate to severe plaque-type psoriasis who initiated biologic therapy between October 2006 and December 2009. Efficacy was expressed as the percentage of patients achieving a 50, 75 and 90% reduction from baseline in the Psoriasis Area and Severity Index (PASI 50, PASI 75, PASI 90, respectively) every 3 months during the first year of therapy and then every 12 months up to the end of follow-up or withdrawal from the study. Results: A total of 56 patients were included in the study, representing 140 treatment lines (median 2, range 1-8); of these patients, 53 were still receiving biologic therapy at the end of the study. The mean duration of biologic therapy was 140.4 (range 47.6-175.4) months. Etanercept was used in 98.2% of patients, followed by efalizumab (42.9%), adalimumab (41.1%), ustekinumab (33.9%) and infliximab (16.1%). Treatment lines were switched in 62.1% of treatments: 24.3% due to secondary failure, 20.7% due to primary failure and 3.6% due to side effects. No patient treated with anti-interleukins had to discontinue treatment due to side effects. Ustekinumab had the highest drug survival. Conclusions: This study in the real-world-setting shows maintenance of long-term efficacy and safety of biologic therapy in patients with moderate to severe plaque psoriasis in daily practice who initiated biologic therapy 10 years ago.The journal’s Rapid Service Fee was paid for by Fundación Profesor Novoa Santos (A Coruña. Spain

Erratum to: Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) (Autophagy, 12, 1, 1-222, 10.1080/15548627.2015.1100356

non present