Consenso sobre el algoritmo diagnóstico del prurigo crónico nodular.

Chronic nodular prurigo (CNP) is a chronic dermatological disease characterized by the presence of chronic pruritus and pruritic nodular lesions. The aim of this study was to reach consensus among a group of experts based on a non-systematic literature review and an algorithm for the clinical diagnosis of CNP. The resulting algorithm is structured in 3 blocks: 1) early identification of the patient with a possible diagnosis of CNP; 2) diagnosis and assessment of CNP; and 3) categorization of CNP (identification of the underlying causes or associated comorbidities).We believe that this clinical algorithm can facilitate the correct diagnosis of patients with CNP. Additionally, it raises awareness on the need for a multidisciplinary approach and specific treatment of CNP, steps of paramount importance to make better therapeutic decisions.

Consensus on the diagnostic algorithm for chronic nodular prurigo. / Consenso sobre el algoritmo diagnóstico del prurigo crónico nodular.

Chronic nodular prurigo (CNP) is a chronic dermatological disease characterized by the presence of chronic pruritus and pruritic nodular lesions. The aim of this study was to reach consensus among a group of experts based on a non-systematic literature review and an algorithm for the clinical diagnosis of CNP. The resulting algorithm is structured in 3 blocks: 1) early identification of the patient with a possible diagnosis of CNP; 2) diagnosis and assessment of CNP; and 3) categorization of CNP (identification of the underlying causes or associated comorbidities). We believe that this clinical algorithm can facilitate the correct diagnosis of patients with CNP. Additionally, it raises awareness on the need for a multidisciplinary approach and specific treatment of CNP, steps of paramount importance to make better therapeutic decisions.

[Proposal for the control and mitigation of COVID-19 dissemination: strategic management of the disease]. / Propuestas para el control y la mitigación de la diseminación de COVID-19: un manejo estratégico de la enfermedad.

The rapid spread of COVID-19 throughout the world, has led most of the affected countries to close their borders and implement some form of lockdown. Six months after the pandemic started, many countries made decisions tending to relax the lockdown, although without a vaccine or treatment capable of confronting SARS-CoV-2 infection, the situation could be reversed at any time. In this context, the aim of this work was to propose a decision algorithm that will allow to optimize asymptomatic case detections and strategically manage quarantine to prevent the spread of the virus and drive the transition to a managed new normal. This tentative proposal was developed for optimizing and ordering the number of tests for the detection of SARS-CoV-2, analyzing composite samples (group analysis) combining with those samples individually taken from asymptomatic members of cohorts of interest. Cohorts were defined according to their critical role in society and/or their vulnerability. The algorithm includes variables such as cohort priority, number of cohort members in the analysis groups, intra-and intergroup contact, vulnerability to contagion due to the activity performed, and time elapsed since last testing. The proposed tool was illustrated with defined hypothetical cohorts, in which, for the sake of simplification, only one analysis group was considered. The application of this tool allowed to establish in a rational way a priority order to test critical groups in society. Furthermore, this tool would help to optimize resources, reducing the impact on a region's health, society, and economy.

Applying deep learning to right whale photo identification.

Photo identification is an important tool for estimating abundance and monitoring population trends over time. However, manually matching photographs to known individuals is time-consuming. Motivated by recent developments in image recognition, we hosted a data science challenge on the crowdsourcing platform Kaggle to automate the identification of endangered North Atlantic right whales (Eubalaena glacialis). The winning solution automatically identified individual whales with 87% accuracy with a series of convolutional neural networks to identify the region of interest on an image, rotate, crop, and create standardized photographs of uniform size and orientation and then identify the correct individual whale from these passport-like photographs. Recent advances in deep learning coupled with this fully automated workflow have yielded impressive results and have the potential to revolutionize traditional methods for the collection of data on the abundance and distribution of wild populations. Presenting these results to a broad audience should further bridge the gap between the data science and conservation science communities.

Aplicación del Aprendizaje Profundo a la Identificación Fotográfica de la Ballena Franca Resumen La identificación fotográfica es una herramienta importante para la estimación de la abundancia y el monitoreo de las tendencias poblacionales en el tiempo. Sin embargo, corresponder las fotografías con los individuos conocidos requiere de mucho tiempo. Motivados por los avances recientes en el reconocimiento de imágenes, decidimos acoger un reto de datos científicos en la plataforma de colaboración masiva Kaggle para automatizar la identificación de ballenas francas del Atlántico norte (Eubalaena glacialis), especie que se encuentra en peligro de extinción. La solución ganadora identificó automáticamente a las ballenas individuales con una certeza del 87% y con una serie de redes neurales convolucionales para identificar la región de interés en una imagen, rotar, recortar, y crear fotografías estandarizadas de tamaño y orientación uniforme y después identificar al individuo correcto a partir de estas fotografías tamaño pasaporte. Los avances recientes en el aprendizaje profundo acoplados a este flujo de trabajo completamente automatizado han producido resultados impresionantes y tienen el potencial para revolucionar los métodos tradicionales de recolección de datos de abundancia y distribución de las poblaciones silvestres. La presentación de estos resultados ante un público amplio debería reducir aún más el vacío que existe entre los datos científicos y las comunidades científicas para la conservación.

[Glutamate dehydrogenase. Its diagnostic value in Clostridioides difficile diarrhea]. / Glutamato deshidrogenasa. Su valor diagnóstico en la diarrea por Clostridioides difficile.

Clostridioides difficile is the main etiological agent of diarrhea associated with health care, it produces toxins and glutamate dehydrogenase (GDH), an enzyme that is highly conserved in this species. Rapid diagnosis and effective treatment produce prompt improvement of the patient and subsequent control of the microorganism spread. There are several techniques whose results are interpreted in the context of algorithms. However, the optimal diagnostic method is yet unknown. The performance of GDH as a screening test for the diagnosis of C. difficile diarrhea was assessed. Six hundred and fifteen stool samples were studied. The presence of GDH and toxins presence was determined by TECHLAB® C. DIFF QUIK-CHEK COMPLETE and the samples were cultured for the search of C. difficile. The values of sensitivity, specificity, PPV and NPV were calculated with a p value of 0.05 or less. GDH was detected in 266 samples (43.25%), with a sensitivity of 100% and specificity of 87.10%, IC95: 84.58-91.42; toxin/s were detected in 218 (35.45%) and C. difficile developed in 235 cultures (38.21%). From 48 samples with positive GDH and negative toxin/s, 15 toxigenic and 2 non-toxigenic isolates were obtained, the remaining 31 samples were negative for C. difficile. All GDH-negative samples were negative for toxins or culture, therefore, GDH NPV was 100%, while PPV was 81.9%. We conclude that GDH is a suitable screening test for the diagnostic algorithm of C. difficile diarrhea.

Consensus statement on the treatment of multiple sclerosis by the Spanish Society of Neurology in 2016. / Consenso para el tratamiento de la esclerosis múltiple 2016. Sociedad Española de Neurología.

With the advent of new disease-modifying drugs, the treatment of multiple sclerosis is becoming increasingly complex. Using consensus statements is therefore advisable. The present consensus statement, which was drawn up by the Spanish Society of Neurology's study group for demyelinating diseases, updates previous consensus statements on the disease. The present study lists the medications currently approved for multiple sclerosis and their official indications, and analyses such treatment-related aspects as activity, early treatment, maintenance, follow-up, treatment failure, changes in medication, and special therapeutic situations. This consensus statement includes treatment recommendations for a wide range of demyelinating diseases, from isolated demyelinating syndromes to the different forms of multiple sclerosis, as well as recommendations for initial therapy and changes in drug medication, and additional comments on induction and combined therapy and practical aspects of the use of these drugs.

Eccrine Porocarcinoma: Patient Characteristics, Clinical and Histopathologic Features, and Treatment in 7 Cases. / Porocarcinoma ecrino: aspectos demográficos, clínicos, histopatológicos y terapéuticos en una serie de 7 pacientes.

Eccrine porocarcinoma is a rare, malignant cutaneous adnexal tumor that arises from the ducts of sweat glands. Found mainly in patients of advanced age, this tumor has diverse clinical presentations. Histology confirms the diagnosis, detects features relevant to prognosis, and guides treatment. Growth is slow, but the prognosis is poor if the tumor metastasizes to lymph nodes or visceral organs. We report 7 cases of eccrine porocarcinoma, describing patient characteristics, the clinical and histopathologic features of the tumors, and treatments used. Our observations were similar to those of other published case series. Given the lack of therapeutic algorithms or protocols for this carcinoma, we propose a decision-making schema based on our review of the literature and our experience with this case series. The algorithm centers on sentinel lymph node biopsy and histologic features.

Consensus-Based Acne Classification System and Treatment Algorithm for Spain. / Consenso español para establecer una clasificación y un algoritmo de tratamiento del acné.

Acne is a chronic inflammatory disease whose psychosocial effects can greatly impair quality of life. Various scales are used to classify the severity of acne, and several treatment algorithms are currently applied: no consensus on a common scale or treatment guidelines has been reached. A group of Spanish experts therefore met to identify a scale the majority could accept as the most appropriate for classifying severity and treating accordingly. The group chose the following classifications: comedonal acne, mild or moderate papulopustular acne, severe papulopustular acne, moderate nodular acne, and nodular-cystic acne (or acne tending to leave scars). Consensus was reached on first- and second-choice treatments for each type and on maintenance treatment. The experts also issued specific recommendations on antibiotic use (starting with mild or moderate papulopustular acne), always in combination with retinoids and/or benzoyl peroxide. The use of isotretinoin (starting at severe papulopustular or moderate nodular acne) was also covered.

Algorithm for the diagnosis and follow-up of acute pulmonary embolisms. / Algoritmo para el diagnóstico y el seguimiento de la tromboembolia pulmonar aguda.

The urgent diagnosis of acute pulmonary thromboembolism benefits from the use of evidence-based clinical guidelines that improve patients' prognoses and reduce the unnecessary use of imaging tests. This article explains the diagnostic algorithms for pulmonary thromboembolism most recently published by the relevant scientific societies both for the general population and for special situations, trying to clear up common doubts and analyzing persistent controversies. It also discusses the need to follow up the thromboembolism after anticoagulation treatment, which is not currently recommended in the guidelines.

CD4 count outperforms World Health Organization clinical algorithm for point-of-care HIV diagnosis among hospitalised HIV-exposed Malawian infants.

OBJECTIVE: To determine, for the WHO algorithm for point-of-care diagnosis of HIV infection, the agreement levels between paediatricians and non-physician clinicians, and to compare sensitivity and specificity profiles of the WHO algorithm and different CD4 thresholds against HIV PCR testing in hospitalised Malawian infants. METHODS: In 2011, hospitalised HIV-exposed infants <12 months in Lilongwe, Malawi, were evaluated independently with the WHO algorithm by both a paediatrician and clinical officer. Blood was collected for CD4 and molecular HIV testing (DNA or RNA PCR). Using molecular testing as the reference, sensitivity, specificity and positive predictive value (PPV) were determined for the WHO algorithm and CD4 count thresholds of 1500 and 2000 cells/mm(3) by paediatricians and clinical officers. RESULTS: We enrolled 166 infants (50% female, 34% <2 months, 37% HIV infected). Sensitivity was higher using CD4 thresholds (<1500, 80%; <2000, 95%) than with the algorithm (physicians, 57%; clinical officers, 71%). Specificity was comparable for CD4 thresholds (<1500, 68%, <2000, 50%) and the algorithm (paediatricians, 55%, clinical officers, 50%). The positive predictive values were slightly better using CD4 thresholds (<1500, 59%, <2000, 52%) than the algorithm (paediatricians, 43%, clinical officers 45%) at this prevalence. CONCLUSION: Performance by the WHO algorithm and CD4 thresholds resulted in many misclassifications. Point-of-care CD4 thresholds of <1500 cells/mm(3) or <2000 cells/mm(3) could identify more HIV-infected infants with fewer false positives than the algorithm. However, a point-of-care option with better performance characteristics is needed for accurate, timely HIV diagnosis.

Optimal management of a multispecies shorebird flyway under sea-level rise.

Every year, millions of migratory shorebirds fly through the East Asian-Australasian Flyway between their arctic breeding grounds and Australasia. This flyway includes numerous coastal wetlands in Asia and the Pacific that are used as stopover sites where birds rest and feed. Loss of a few important stopover sites through sea-level rise (SLR) could cause sudden population declines. We formulated and solved mathematically the problem of how to identify the most important stopover sites to minimize losses of bird populations across flyways by conserving land that facilitates upshore shifts of tidal flats in response to SLR. To guide conservation investment that minimizes losses of migratory bird populations during migration, we developed a spatially explicit flyway model coupled with a maximum flow algorithm. Migratory routes of 10 shorebird taxa were modeled in a graph theoretic framework by representing clusters of important wetlands as nodes and the number of birds flying between 2 nodes as edges. We also evaluated several resource allocation algorithms that required only partial information on flyway connectivity (node strategy, based on the impacts of SLR at nodes; habitat strategy, based on habitat change at sites; population strategy, based on population change at sites; and random investment). The resource allocation algorithms based on flyway information performed on average 15% better than simpler allocations based on patterns of habitat loss or local bird counts. The Yellow Sea region stood out as the most important priority for effective conservation of migratory shorebirds, but investment in this area alone will not ensure the persistence of species across the flyway. The spatial distribution of conservation investments differed enormously according to the severity of SLR and whether information about flyway connectivity was used to guide the prioritizations. With the rapid ongoing loss of coastal wetlands globally, our method provides insight into efficient conservation planning for migratory species.

[Comprehensive approach to vertigo: Diagnostic algorithm, causes, treatments, and referral criteria from the perspective of primary care. SEMERGEN consensus document]. / Abordaje integral del vértigo: algoritmo diagnóstico, causas, tratamientos y criterios de derivación desde la perspectiva de atención primaria. Documento de consenso SEMERGEN.

Vertigo is a common symptom that can have various causes and may require a comprehensive approach for its diagnosis and treatment from primary care. A diagnostic algorithm based on the classification proposed by the Otoneurology Commission of the SEORL-PCF is suggested, which facilitates the classification of the different types of vertigo and provides referral criteria for patients from primary care to other specialties. A review of the available treatments based on the underlying cause is conducted for appropriate therapeutic management. This document is expected to become a valuable tool for professionals treating patients with vertigo. The document is based on scientific evidence and on the experience of experts in the field from various medical specialties; and seeks to improve the understanding and clinical approach to acute vertigo from primary care.

[Analysis of the workload in medical time according to the degree of complexity of the samples and proposal of an algorithm for the equitable distribution of the workload in an anatomic pathology department]. / Análisis de la carga laboral en tiempo médico en función del grado de complejidad de las muestras y propuesta de algoritmo para la distribución equitativa del trabajo asistencial en un servicio de anatomía patológica.

INTRODUCTION: In a pathological anatomy service, the workload in medical time is analyzed based on the complexity of the samples received and its distribution among pathologists is assessed, presenting a new computer algorithm that favors an equitable distribution. METHODS: Following the second edition of the Spanish guidelines for the estimation of workload in cytopathology and histopathology (medical time) according to the Spanish Pathology Society-International Academy of Pathology (SEAP-IAP) catalog of samples and procedures, we determined the workload units (UCL) per pathologist and the overall UCL of the service, the average workload of the service (MU factor), the time dedicated by each pathologist to healthcare activity and the optimal number of pathologists according to the workload of the service. RESULTS: We determined 12 197 total annual UCL for the chief pathologist, as well as 14 702 and 13 842 UCL for associate pathologists, with an overall of 40 742 UCL for the whole service. The calculated MU factor is 4.97. The chief pathologist devoted 72.25% of his working day to healthcare activity while associate pathologists dedicated 87.09% and 82.01% of their working hours. The optimal number of pathologists for the service is found to be 3.55. CONCLUSIONS: The results demonstrate medical work overload and a non-equitable distribution of UCLs among pathologists. We propose a computer algorithm capable of distributing the workload in an equitable manner. It would be associated with the laboratory information system and take into account the type of specimen, its complexity and the dedication of each pathologist to healthcare activity.

Fractures of the peroneal malleolus: Current concepts. / Fracturas del maléolo peroneo: conceptos actuales.

Ankle fractures represent up to 9% of all fractures, with an increased incidence in the elderly population. Among these fractures, isolated fractures of the lateral malleolus are the most common, representing 65-70% of all cases. The therapeutic decision-making primarily relies on the stability of the ankle ring, considering it stable if affected at one point and unstable if two or more points are affected. Surgical treatment focuses on restoring the length of the fibula, joint reconstruction, stabilizing the syndesmosis, and providing a stable fixation. It is crucial to rule out associated injuries that may influence therapeutic management. This article reviews the evaluation and management of lateral malleolus fractures, proposes a decision-making algorithm, and examines several fibular fixation options.

[Palmoplantar dermatoses: Diagnostic approach in primary care]. / Dermatosis palmoplantares: aproximación diagnóstica en atención primaria.

This article addresses the diagnostic challenges of palmoplantar dermatoses (PPD) within the scope of Primary Health Care (PHC). These common skin conditions, encountered in daily practice, exhibit a diverse range of symptoms and morphologies, complicating their diagnosis. They are etiologically classified into infectious inflammatory, non-infectious inflammatory, and hereditary keratodermas. While various dermatoses may affect the palms and soles, few are specific to this area. Notable examples include palmoplantar pustulosis, dyshidrosis, erythema pernio, and Bazex syndrome. Given the high prevalence of dermatological consultations in PHC, this article underscores the significance of PHC professionals' knowledge regarding these conditions. It proposes a diagnostic algorithm to facilitate their management and timely referral.

XEN-45 in the management of early glaucoma surgery: A national Delphi consensus study.

BACKGROUND AND OBJECTIVE: Recommendations on general glaucoma management and the use of early minimally invasive and microincisional surgeries are limited. This study aimed to establish consensus regarding glaucoma management, focusing on the XEN-45 gel stent implant. METHODS: A Delphi consensus-driven process was used. The scientific committee led the study, identified the expert panel, and participated in elaborating the questionnaire. Fifty-one panelists were invited to complete, on a nine-point Likert scale, an 89-item questionnaire covering three topic blocks. Two Delphi rounds were performed. Consensus was achieved if ≥66.6% of panelists reached agreement or disagreement. RESULTS: Panelists agreed on 84 items related to the patients' quality of life, the therapeutic algorithm and patient profile, and surgical and pre- and post-operative management. Panelists agreed on the suitability of XEN stent implants to treat glaucoma at different stages and for different patient profiles: young patients, elderly or with significant comorbidities, and with myopic glaucoma, patients who failed previous surgeries, and with previous poor post-operative experience. XEN surgery was considered a therapeutic step prior to classic filtering surgery and a possible first surgical option in elderly patients with comorbidities and uncontrolled intraocular pressure. XEN surgery allows the patient to return to routine daily activities faster than conventional filtering surgeries and to reduce and/or eliminate topical treatments. CONCLUSIONS: This Delphi-driven consensus resulted in a series of general recommendations for glaucoma management, including those related to patient quality of life, therapeutic algorithm, and patient profile, and specific ones regarding the use of XEN stent gel surgery.

[Translated article] Fractures of the peroneal malleolus: Current concepts.

Ankle fractures represent up to 9% of all fractures, with an increased incidence in the elderly population. Among these fractures, isolated fractures of the lateral malleolus are the most common, representing 65-70% of all cases. The therapeutic decision-making primarily relies on the stability of the ankle ring, considering it stable if affected at one point and unstable if two or more points are affected. Surgical treatment focuses on restoring the length of the fibula, joint reconstruction, stabilising the syndesmosis, and providing a stable fixation. It is crucial to rule out associated injuries that may influence therapeutic management. This article reviews the evaluation and management of lateral malleolus fractures, proposes a decision-making algorithm, and examines several fibular fixation options.

[Benefits of using a recommended testing algorithm for the diagnosis and dietary-nutritional management of patients with chronic gastrointestinal disorders]. / Beneficios del uso de un algoritmo de pruebas recomendadas para el diagnóstico y manejo dietético-nutricional del paciente con trastornos gastrointestinales crónicos.

Introduction: Introduction and objective: chronic gastrointestinal disorders such as celiac disease and lactose or fructose intolerance in adulthood are becoming more frequent and are usually accompanied by symptoms that affect daily activities and greatly limit diet. The spectrum of symptoms manifested by those affected is heterogeneous and not very specific; in addition, there is no standardized and agreed protocol for dietary management, which makes a correct diagnosis and effective treatment difficult. Disorders related to malabsorption/food intolerance can originate from primary (genetic) or secondary causes (parasites, allergies, inflammatory bowel disease, drugs, etc.). Using genetic data makes it possible to rule out or confirm primary causes, and when necessary, focus the search on secondary ones. The objective of this algorithmic approach is to guide the dietary-nutritional management of the patient with chronic gastrointestinal disease to optimize the diagnostic process and nutritional treatment. Material and methods: after a review of the literature on the pathologies most frequently associated with these disorders, a testing algorithm is proposed and the successive steps to be followed depending on the results obtained, in order to determine the diagnosis and treatment. Results: the proposed algorithm aims to be a tool for health personnel (gastroenterologists, endocrinologists, nutritionists, etc.) who care for these patients. The aim is to guide the flow of diagnostic tests based on the information provided by the patient and the clinic at the beginning, as well as to recommend the most appropriate treatment (dietary-nutritional and/or pharmacological). Conclusions: the benefit of using an algorithmic approach is that it allows optimising the diagnostic process of primary and secondary causes, and with this, to prescribe a personalised nutritional treatment considering the origin of the disorder, to alleviate the intensity and frequency of the symptoms with the least amount of dietary restrictions possible and minimise the impact on the quality of life of the patients.

Introducción: Introducción y objetivo: los trastornos gastrointestinales crónicos como la enfermedad celiaca y la intolerancia a la lactosa o fructosa en la edad adulta son cada vez más frecuentes y se suelen acompañar de sintomatología que repercute en las actividades diarias y limita en gran medida la dieta. El espectro de síntomas que manifiestan los afectados es heterogéneo y poco específico y, además, no existe un protocolo estandarizado y consensuado para el manejo dietético, lo que dificulta un correcto diagnóstico y un adecuado tratamiento. Los trastornos relacionados con malabsorción/intolerancia alimentaria pueden originarse por causas primarias (genéticas) o secundarias (parásitos, alergias, enfermedad inflamatoria intestinal, fármacos, etc.). El empleo de análisis genéticos permite descartar o confirmar causas primarias y, cuando sea necesario, centrar la búsqueda en las secundarias. El objetivo del enfoque algorítmico que proponemos es guiar el manejo dietético-nutricional del paciente con trastornos gastrointestinales crónicos para optimizar el proceso diagnóstico y el tratamiento nutricional. Material y métodos: tras realizar una revisión bibliográfica sobre las patologías más frecuentemente asociadas a estos trastornos, se proponen un algoritmo de pruebas y los sucesivos pasos a seguir en función de los resultados obtenidos, para concretar el diagnóstico y el tratamiento. Resultados: el algoritmo propuesto pretende ser una herramienta para el personal sanitario (gastroenterólogos, endocrinólogos, nutricionistas, etc.) que atiende a este tipo de paciente. Se busca guiar el flujo de pruebas diagnósticas en función de la información aportada por el paciente y la clínica al inicio, así como recomendar el tratamiento (dietético-nutricional y/o farmacológico) más adecuado. Conclusiones: el beneficio de utilizar un enfoque algorítmico es que este permite optimizar el proceso diagnóstico de causas primarias y secundarias y con ello, pautar un tratamiento nutricional personalizado considerando el origen del trastorno, a fin de paliar la intensidad y frecuencia de los síntomas con la menor cantidad de restricciones alimentarias posibles y minimizar la afección en la calidad de vida de los pacientes.

Analysis of myocardial infarction incidence and case-fatality in the last three decades in the province of Girona.

INTRODUCTION AND OBJECTIVES: Myocardial infarction (MI) incidence and case fatality trends are highly informative but relatively untested at the population level. The objective of this work was to estimate MI incidence and case fatality in the Girona population aged 35-74 years, and to determine their 30-year trends (1990-2019). METHODS: The REGICOR (Girona Heart Registry) monitored MI incidence and case fatality rates from 1990 to 2008. For the period 2008 to 2019, we linked discharges from Girona hospitals (n=4 974 977) and mortality registry (n=70 405) during this period. Our linkage algorithm selected key MI diagnostic codes and removed duplicates. Estimates from the linkage algorithm and the REGICOR registry were compared using chi-square tests for overlapping years (2008-2009). We estimated the annual percent change (APC) of standardized MI incidence and 28-day case fatality, and analyzed their trends using joinpoint regression. RESULTS: MI incidence and case fatality estimates were similar in the linkage algorithm and the REGICOR registry. We observed significant decreasing trends in the incidence of MI. The trend was APC, -0.96% (95% confidence interval (95%CI), -1.4 to -0.53) in women from 1990 to 2019 and -4.2% (95%CI, -5.5 to -3.0) in men from 1994 to 2019. The largest decrease in case fatality was -3.8% (95%CI, -5.1 to -2.5) from 1995 to 2003 in women and -2.4% (95%CI, -2.9 to -1.9) from 1995 to 2004 in men, mainly due to prehospital case fatality declines: -1.8% (95%CI, -2.6 to -1.1) in men and -3.2% (95%CI, -4.6 to -1.8) in women. CONCLUSIONS: In Girona, MI incidence and case fatality decreased between 1990 and 2019. The incidence showed a slow but continuous decrease while case fatality only stabilized in the last decade, particularly in women.

Validation of qrs-polarity algorithm with special emphasis in parahisian pathways.

BACKGROUND: In 1996 Iturralde et al. published an algorithm based on the QRS polarity to determine the location of the accessory pathways (AP), this algorithm was developed before the massive practice of invasive electrophysiology. PURPOSE: To validate the QRS-Polarity algorithm in a modern cohort of subjects submitted to radiofrequency catheter ablation (RFCA). Our objective was to determinate its global accuracy and its accuracy for parahisian AP. METHODS: We conducted a retrospective analysis of patients with Wolff-Parkinson-White (WPW) syndrome who underwent an electrophysiological study (EPS) and RFCA. We employed the QRS-Polarity algorithm to predict the AP anatomical location and we compared this result with the real anatomic location determined in the EPS. To determine accuracy, the Cohen's kappa coefficient (k) and the Pearson correlation coefficient were used. RESULTS: A total of 364 patients were included (mean age 30 years, 57% male). The global k score was 0.78 and the Pearson's coefficient was 0.90. The accuracy for each zone was also evaluated, the best correlation was for the left lateral AP (k of 0.97). There were 26 patients with a parahisian AP, who showed a great variability in the ECG features. Employing the QRS-Polarity algorithm, 34.6% patients had a correct anatomical location, 42.3% had an adjacent location and only 23% an incorrect location. CONCLUSION: The QRS-Polarity algorithm has a good global accuracy; its precision is high, especially for left lateral AP. This algorithm is also useful for the parahisian AP.

ANTECEDENTES: En 1996 Iturralde y colaboradores publicaron un algoritmo basado en la polaridad del QRS para determinar la ubicación de las vías accesorias (VA), este algoritmo fue desarrollado antes de la práctica masiva de la electrofisiología invasiva. OBJETIVO: Validar el algoritmo de la polaridad del QRS en una cohorte moderna de sujetos sometidos a ablación con catéter por radiofrecuencia (ACRF). Nuestro objetivo fue determinar su precisión global y su precisión para las VA parahisianas. MÉTODOS: Realizamos un análisis retrospectivo de pacientes con síndrome de Wolff-Parkinson-White (WPW) a los que se les realizó estudio electrofisiológico (EEF) y ACRF. Empleamos el algoritmo de la polaridad del QRS para predecir la ubicación anatómica de la VA y comparamos este resultado con la ubicación anatómica real determinada en el EEF. Para determinar la precisión se utilizaron el coeficiente kappa de Cohen (k) y el coeficiente de correlación de Pearson. RESULTADOS: Se incluyeron un total de 364 pacientes (edad media 30 años, 57 % varones). La puntuación k global fue de 0,78 y el coeficiente de Pearson de 0,90. También se evaluó la precisión para cada zona, la mejor correlación fue para las VA laterales izquierdas (k de 0.97). Hubo 26 pacientes con VA parahisianas, que mostraron una gran variabilidad en las características del ECG. Empleando el algoritmo de la polaridad del QRS, el 34,6 % de los pacientes tenía una ubicación anatómica correcta, el 42,3 % tenía una ubicación adyacente y solo el 23 % una ubicación incorrecta. CONCLUSIÓN: El algoritmo de la polaridad del QRS tiene una buena precisión global; su precisión es alta, especialmente para VA lateral izquierdo. Este algoritmo también es útil para la VA parahisiana.