Soluble urokinase type plasminogen activator receptor (suPAR) and mortality in acute pulmonary embolism.

INTRODUCTION: The soluble urokinase-type plasminogen activator receptor (suPAR) potentially plays a role in immune-thrombosis, possibly by modulating plasmin activity or contributing to chemotaxis in a complex, poorly understood context. The role of suPAR levels in the short-term prognostic of patients with pulmonary embolism (PE) has not been evaluated. MATERIAL AND METHODS: This observational, prospective, single-center study enrolled consecutive patients aged 18 and above with confirmed acute symptomatic PE and no prior anticoagulant therapy. The primary objective was to assess the prognostic capacity of suPAR levels measured at the time of diagnosis in terms of mortality. RESULTS: Fifty-two patients, with a mean age of 73.8 years (±17), were included, with gender distribution evenly split at 50%. Seven (13.5%) patients died. The ROC curve for mortality yielded an AUC of 0.72 (95% CI 0.48-0.96), with an optimal suPAR cut-off of 5.5ng/mL. Bivariate analysis for suPAR>5.5ng/mL was associated with a crude odds ratio of 10 (95% CI 1.63-61.27; p=0.01) for 30-day mortality. Survival analysis showed a 30-day mortality hazard ratio of 8.33 (95% CI 1.69-40.99; p<0.01). CONCLUSION: suPAR emerges as a potential biomarker for short-term mortality prediction and holds the potential for enhanced stratification in patients with acute symptomatic PE.

Metabolic biomarkers and cardiovascular risk stratification in hypertension.

INTRODUCTION: Cardiovascular risk calculators (CRC) are not locally validated and calibrated. Surrogate biomarkers of insulin resistance had identified subjects at higher risk of type 2 diabetes and cardiovascular disease. AIM: Establish the frequency of surrogate biomarkers of insulin resistance and their correlation with CRC in primary prevention non-diabetic hypertensive subjects. METHODS: This is an observational registry with a prospective consecutive outpatient's sample. The TyG index (TyGi) was calculated as logarithm (Ln) of (fasting triglycerides [mg/dl]×fasting plasma glucose [mg/dl]/2). Patients were stratified according to quartiles of TyGi. Pearson correlation coefficient between TyGi and other relevant variables was evaluated. RESULTS: Four hundred six patients were included with a mean age 55.9±13 years, 231 p (56.9%) males. The mean TyGi was 8.667±0.53. Patients in the highest quartiles of TyGi had significantly higher median difference between expected and actual ASCVD risk (p=0.02), higher frequency of AHA/ACC Pooled Cohort Equation >7.5% (p<0.005), and higher levels of metabolic biomarkers such as median triglyceridemia/HDL cholesterol ratio (TG/HDL) (p<0.0005), glycaemia and A1C (p<0.001 and p=0.02, respectively). The correlation between TyGi and TG/HDL was highly significant (r=0.7076; r2=0.5007; p<0.0001), and intermediate with non-HDL cholesterol (r=0.4553, r2=0.2073; p<0.0001). CONCLUSIONS: Non-diabetic hypertensive patients with high TyGi, a surrogate biomarker of insulin resistance, had a higher 10-year cardiovascular risk by AHA/ACC Pooled Cohort Equation. TyGi is statistically and significantly correlated with other biomarkers of insulin resistance. TyGi could be a reliable biomarker in clinical practice to stratify cardiovascular risk.

Efeitos de Longo Prazo do Implante Valvar Pulmonar e Evolução da Prótese em Pacientes com Tetralogia de Fallot Corrigida / Long-Term Effects of Pulmonary Valve Implantation and Prosthesis Evolution in Patients with Repaired Tetralogy of Fallot

Resumo Fundamento A regurgitação valvar pulmonar é uma importante complicação de longo prazo em pacientes com tetralogia de Fallot (TF). Objetivo O presente estudo tem como objetivo investigar os efeitos do implante valvar pulmonar (IVP) na anatomia e função do ventrículo direito (VD) e na evolução em longo prazo da prótese implantada em posição pulmonar. Métodos Uma análise de coorte retrospectiva e unicêntrica foi realizada em 56 pacientes consecutivos com TF submetidos a IVP. O estudo incluiu pacientes de ambos os gêneros, com idade ≥ 12 anos e compreendeu avaliação de dados clínicos e cirúrgicos, ressonância magnética cardiovascular pré e pós-operatória e dados ecocardiográficos obtidos mais de 1 ano após IVP. Resultados Após o IVP, houve uma diminuição significativa do volume sistólico final do VD indexado pela área de superfície corpórea (ASC), de 89 mL/ASC para 69 mL/ASC (p < 0,001) e do volume diastólico final indexado do VD, de 157 mL/ASC para 116 mL/ASC (p < 0,001). Além disso, houve aumento da fração de ejeção corrigida do VD [ FEVDc = fluxo pulmonar ajustado (fluxo pulmonar anterógrado − fluxo regurgitante) / volume diastólico final do VD ] de 23% para 35% (p < 0,001) e da fração de ejeção do ventrículo esquerdo de 58% para 60% (p = 0,008). No entanto, foi observado um aumento progressivo no gradiente de pico da válvula pulmonar ao longo do tempo, com 25% dos pacientes apresentando um gradiente superior a 60 mmHg. Próteses menores (tamanhos 19 a 23) foram associadas a um risco 4,3 vezes maior de gradiente > 60 mmHg em comparação com próteses maiores (tamanhos 25 a 27; p = 0,029; intervalo de confiança: 1,18 a 17,8). Conclusão Conforme esperado, o IVP demonstrou melhorias nos volumes e na função do VD. O acompanhamento e a vigilância a longo prazo são cruciais para avaliar a durabilidade da prótese e detectar potenciais complicações. O dimensionamento adequado das próteses é essencial para melhorar a longevidade da prótese.

Abstract Background Pulmonary valve regurgitation is a significant long-term complication in patients with tetralogy of Fallot (TOF). Objective This study aims to investigate the effects of pulmonary valve implantation (PVI) on the anatomy and function of the right ventricle (RV) and the long-term evolution of the implanted prosthesis in the pulmonary position. Methods A single-center retrospective cohort analysis was performed in 56 consecutive patients with TOF who underwent PVI. The study included patients of both sexes, aged ≥ 12 years, and involved assessing clinical and surgical data, pre- and post-operative cardiovascular magnetic resonance imaging, and echocardiogram data more than 1 year after PVI. Results After PVI, there was a significant decrease in RV end-systolic volume indexed by body surface area (BSA), from 89 mL/BSA to 69 mL/BSA (p < 0.001) and indexed RV end-diastolic volume, from 157 mL/BSA to 116 mL/BSA (p < 0.001). Moreover, there was an increase in corrected RV ejection fraction [ RVEFC = net pulmonary flow (pulmonary forward flow − regurgitant flow) / R V end-diastolic volume] from 23% to 35% (p < 0.001) and left ventricular ejection fraction from 58% to 60% (p = 0.008). However, a progressive increase in the peak pulmonary valve gradient was observed over time, with 25% of patients experiencing a gradient exceeding 60 mmHg. Smaller prostheses (sizes 19 to 23) were associated with a 4.3-fold higher risk of a gradient > 60 mmHg compared to larger prostheses (sizes 25 to 27; p = 0.029; confidence interval: 1.18 to 17.8). Conclusion As expected, PVI demonstrated improvements in RV volumes and function. Long-term follow-up and surveillance are crucial for assessing the durability of the prosthesis and detecting potential complications. Proper sizing of prostheses is essential for improved prosthesis longevity.

Marcadores de cáncer stem cells y transición epitelio mesenquimal como factores de agresividad y progresión en pacientes jóvenes con cáncer de tiroides

El cáncer de tiroides (CT) es el primer tumor maligno en glándulas endocrinas, y se estima que al 2030 estará en el top cinco de cáncer a nivel mundial. En Chile, el CT fue incluido, recientemente, como la patología N° 82 con Garantías Explícitas de Salud, lo que implica destinar importantes recursos públicos y privados al tratamiento de pacientes con un cáncer que va en aumento en el mundo. Existen grupos de pacientes jóvenes con tumores pequeños que presentan un comportamiento clínico más agresivo desde el inicio, donde se podría adelantar la toma de decisiones. Específicamente, destaca un grupo de pacientes menores de 55 años con tumores pequeños menores de 2 cm, pero con metástasis regionales, que quedan fuera de la indicación de radioyodoterapia y podrían requerir tratamiento complementario o presentar peor evolución. Las herramientas clínicas y moleculares para guiar el tratamiento adecuado en pacientes con metástasis linfonodales son limitadas y no han sido actualizadas hasta el momento. Existen factores de tumorigenicidad y pronóstico, tales como los marcadores de Transición Epitelio-Mesenquimal (TEM) y Cáncer Stem Cells (CSC) que se han incorporado al estudio de otros tumores y recientemente en cáncer de tiroides. Actualmente estudios que relacionan TEM y CSC con CT apuntan a la descripción molecular y genética, con escasos reportes que correlacionen, clínicamente, estos hallazgos, (particularmente en subgrupos con características particulares de agresividad) y que los propongan como marcadores de tumorigenicidad y pronóstico. La descripción de estos biomarcadores en la población descrita podría facilitar la toma de decisiones en cuanto a seguimiento, terapia quirúrgica y radioyodoterapia.

Thyroid cancer (TC) is the first malignant tumor in endocrine glands, and it is estimated that by 2030 it will be in the top five cancers worldwide. In Chile, TC was recently included as pathology No. 82 with Explicit Health Guarantees, which implies allocating significant public and private resources to the treatment of patients with a cancer that is on the rise. There are groups of young patients with small tumors that present a more aggressive clinical behavior, where decision-making could be advanced. Specifically, a group of patients under 55 years of age with tumors less than 2 cm in size but with regional metastases, that lack indication for radioiodine therapy and could require complementary treatment or present a worse evolution. Clinical and molecular tools to guide appropriate treatment in patients with lymph node metastases are limited and have not been updated. There are tumorigenicity and prognostic factors, such as EpithelialMesenchymal Transition (EMT) and Cancer Stem Cells (CSC) markers that have been incorporated into the study of other tumors and recently in thyroid cancer. Studies linking EMT and CSC with TC currently point to molecular and genetic description, with few reports clinically correlating these findings (particularly in subgroups with particular characteristics of aggressiveness) and proposing them as tumorigenicity and prognosis markers. The description of these biomarkers in the described population could facilitate decision-making regarding follow-up, surgical therapy, and radioiodine therapy.

Síndrome de Sjögren: identificación de nuevos biomarcadores y mecanismos moleculares implicados en su fisiopatogénesis

Introducción: El Síndrome de Sjögren (SS) es una enfermedad autoinmune de carácter sistémico, que afecta principalmente al sistema glandular exocrino, generando un funcionamiento anormal de las glándulas lacrimales y salivales. Objetivo: proporcionar una actualización sobre la identificación de nuevos biomarcadores y mecanismos moleculares implicados en la fisiopatogénesis del SS. Método: Revisión narrativa de la literatura en diferentes bases de datos, mediante la búsqueda de términos descritos incluidos en los tesauros MESH y DeCs, para artículos publicados a partir del año 2018. Resultados: presentamos evidencia que destaca la identificación de nuevos biomarcadores y mecanismos implicados en la fisiopatogénesis del SS, describiendo las vías de: linfocitos B, catepsina S, cistatina C, quimioquina C-X3-C modificada de ligando 1, quimiocina regulada por activación del timo, células T, proteína morfogenética ósea 6, estimulación del receptor de oxitocina, receptor de zinc, calponina-3. Conclusión: los avances en la tecnología facilita el análisis detallado de la genética y fisiopatogénesis del SS, impulsando el desarrollo de terapias específicas. La búsqueda de biomarcadores no invasivos responde a las limitaciones de los métodos existentes y la invasividad de las biopsias salivales, prometiendo mejoras diagnósticas y terapéuticas.

Introduction: Sjögren's Syndrome (SS) is a systemic autoimmune disease that primarily affects the exocrine glandular system, leading to abnormal lacrimal and salivary gland function. Objective: To provide an update on identifying new biomarkers and molecular mechanisms involved in the pathogenesis of SS. Method: Narrative review of the literature in various databases, searching for terms included in the MESH and DeCs thesauri, for articles published since 2018. Results: We present evidence highlighting the identification of new biomarkers and mechanisms involved in the pathogenesis of SS, describing pathways of B lymphocytes, cathepsin S, cystatin C, modified C-X3-C chemokine ligand 1, thymus activation-regulated chemokine, T cells, bone morphogenetic protein 6, oxytocin receptor stimulation, zinc receptor, and calponin-3. Conclusion: Advances in technology facilitate detailed analysis of the genetics and pathogenesis of SS, driving the development of specific therapies. The search for non-invasive biomarkers is driven by the limitations of existing methods and the invasiveness of salivary gland biopsies, promising diagnostic and therapeutic improvements.

Updates in the Treatment of Knee Osteoarthritis / Atualizações no tratamento da osteoartrite de joelho

Abstract Knee osteoarthritis (OA) is an inflammatory and degenerative condition resulting in articular cartilage destruction and functional loss. Its prevalence has grown considerably due to increased life expectancy and obesity, and its diagnosis relies on evaluation, medical examination, and confirmation by supplementary radiographic images. Knee OA is multifactorial and influenced by several local, systemic, and external aspects. In addition, its progress and therapeutic responses highly depend on the characteristics of each subject. The initial recommendation is drug treatment and alternative therapies to improve quality of life. However, if these treatments are unsuccessful, one must consider surgical treatment. Surgical options include arthroscopies, osteotomies, and partial and total arthroplasties, while non-surgical treatments include medications and alternative therapies such as infiltrations, acupuncture, and physical exercise. It is worth highlighting that biomarkers can be a significant strategy for early disease detection, assessment of disease activity, prediction of prognosis, and monitoring a better response to therapy. Nevertheless, this topic must be the focus of further research to confirm its findings.

Resumo A osteoartrite (OA) do joelho é uma doença inflamatória e degenerativa que ocasiona a destruição da cartilagem articular e leva à perda de funções. Sua prevalência vem crescendo consideravelmente devido ao aumento da expectativa de vida e da obesidade, e o diagnóstico pode ser feito por meio de avaliação e exames médicos, e é confirmado em imagens radiográficas complementares. Uma condição multifatorial, a OA do joelho pode ser influenciada por diversos aspectos locais, sistêmicos e externos; além disso, a sua evolução e as respostas aos tratamentos dependem muito das características de cada indivíduo. Inicialmente, recomenda-se proceder a um tratamento medicamentoso e a terapias alternativas que melhorem a qualidade de vida do paciente; mas, a partir do momento em que se verifica que tais terapias não estão proporcionando resultados satisfatórios, um tratamento cirúrgico deve ser considerado. Entre os tratamentos cirúrgicos, as artroscopias, as osteotomias e as artroplastias parciais e totais são destacadas; os métodos não cirúrgicos incluem o uso de medicamentos e de terapias alternativas, como infiltrações, acupuntura e prática de exercícios físicos. Vale ressaltar ainda que a utilização de biomarcadores pode ser uma importante estratégia para detectar precocemente a doença, avaliar sua atividade, prever um prognóstico e monitorar uma melhor resposta à terapia; porém, esse tema ainda deve ser foco de mais estudos para que os seus resultados sejam comprovados.

Exploring the impact of pharmacogenetics on personalized medicine: A systematic review. / [Artículo traducido] Exploración del impacto de la farmacogenética en la medicina personalizada: una revisión sistemática.

INTRODUCTION: Pharmacogenetics evaluates how genetic variations influence drug responses. Nowadays, genetic tests have advanced, becoming more affordable, and its integration is supported by stronger clinical evidence. Guidelines such as those from CPIC (Clinical Pharmacogenetics Implementation Consortium) and resources like PharmGKB facilitate genotype-based prescribing; and organizations like the FDA promote genetic testing before initiating certain medications. Preventive pharmacogenetic panels seem promising, but further research on biomarkers and diverse populations is needed. The aim of this review is to analyze recent evidence on the genotype-drug response relationship to examine how the genetic profile of patients influences the clinical response to treatments, and analyze the areas of research that need further study to advance towards a genetic-based precision medicine. MATERIALS AND METHODS: A systematic search was conducted on PubMed to identify articles investigating the genotype-drug response relationship. The search strategy included terms such as "pharmacogenetics", "personalized treatment", "precision medicine", "dose adjustment", "individualized dosing", "clinical routine" and "clinical practice." Clinical trials, observational studies, and meta-analyses published in English or Spanish between 2013 and 2023 were included. The initial search resulted in a total of 136 articles for analysis. RESULTS: 49 articles were included for the final analysis following review by two investigators. A relationship between genetic polymorphisms and drug response or toxicity was found for drugs such as opioids, GLP-1 agonists, tacrolimus, oral anticoagulants, antineoplastics, atypical antipsychotics, efavirenz, clopidogrel, lamotrigine, anti-TNF-α agents, voriconazole, antidepressants, or statins. However, for drugs like metformin, quetiapine, irinotecan, bisoprolol, and anti-VEGF agents, no statistically significant association between genotype and response was found. CONCLUSION: The studies analyzed in this review suggest a strong correlation between genetic variability and individual drug responses, supporting the use of pharmacogenetics for treatment optimization. However, for certain drugs like metformin or quetiapine, the influence of genotype on their response remains unclear. More studies with larger sample sizes, greater ethnic diversity, and consideration of non-genetic factors are needed. The lack of standardization in analysis methods and accessibility to genetic testing are significant challenges in this field. As a conclusion, pharmacogenetics shows immense potential in personalized medicine, but further research is required.

NT-proBNP in systemic right ventricles: a new cutoff level for risk stratification?

INTRODUCTION AND OBJECTIVES: The role of N-terminal pro-B-type natriuretic peptide (NT-proBNP) in the risk prediction of patients with systemic right ventricles (sRV) is not well defined. The aim of this study was to analyze the prognostic value of NT-proBNP in patients with an sRV. METHODS: The prognostic value of NT-proBNP was assessed in 98 patients from the SERVE trial. We used an adjusted Cox proportional hazards model, survival analysis, and c-statistics. The composite primary outcome was the occurrence of clinically relevant arrhythmia, heart failure, or death. Correlations between baseline NT-proBNP values and biventricular volumes and function were assessed by adjusted linear regression models. RESULTS: The median age [interquartile range] at baseline was 39 [32-48] years and 32% were women. The median NT-proBNP was 238 [137-429] ng/L. Baseline NT-proBNP concentrations were significantly higher among the 20 (20%) patients developing the combined primary outcome compared with those who did not (816 [194-1094] vs 205 [122-357]; P=.003). In patients with NT-proBNP concentrations> 75th percentile (> 429 ng/L), we found an exponential increase in the sex- and age-adjusted hazard ratio for the primary outcome. The prognostic value of NT-proBNP was comparable to right ventricular ejection fraction and peak oxygen uptake on exercise testing (c-statistic: 0.71, 0.72, and 0.71, respectively). CONCLUSIONS: In patients with sRVs, NT-proBNP concentrations correlate with sRV volumes and function and may serve as a simple tool for predicting adverse outcomes.

Usefulness of biomarkers to predict prognosis after heart transplant.

INTRODUCTION AND OBJECTIVES: Heart transplant (HT) represents a major physiological stress, resulting in elevated levels of analytical biomarkers. This study aimed to determine whether changes in biomarker levels after HT can identify patients with a poor prognosis. METHODS: A prospective longitudinal noninterventional study was conducted in 149 consecutive patients undergoing HT from July 2017 to July 2023. Biomarkers were assessed before HT and at 6, 24, 48, 72, and 96hours after HT. The biomarkers analyzed were high-sensitivity troponin T, N-terminal pro-B-type natriuretic peptide (NT-proBNP), creatinine, and lactic acid. The primary outcome was a composite of death and severe primary graft failure (PGF). RESULTS: NT-proBNP and troponin levels remained highly elevated throughout the period and stabilized from the first 24hours post-HT. Lactate levels stabilized after the first 24hours, and creatinine from the second day onward. Exitus occurred in 23 (15%) of the patients, and severe PGF in 26 (17%). All biomarkers were significantly associated with the incidence of the combined event (P <.0001). Receiver operating characteristic curve analysis at 24hours showed significant areas under the curve (P=.0001). The greatest discriminatory power was observed for the NT-proBNP curve. A value of 10 000 pg/mL had a sensitivity of 90% and specificity of 80%. CONCLUSIONS: A significant elevation of post-HT analytical biomarkers was associated with mortality and/or severe PGF. Among the biomarkers analyzed, NT-proBNP was the most accurate in classifying patients.

Increased plasma levels of N-terminal pro-B-type natriuretic peptide as biomarker for the diagnosis of cardioembolic ischaemic stroke.

BACKGROUND: Despite comprehensive study, the aetiology of stroke is not identified in 35% of cases. AIMS: We conducted a study to assess the diagnostic capacity of N-terminal pro-B-type natriuretic peptide (NT-proBNP) in the identification of ischaemic stroke of cardioembolic origin. The secondary purpose of the study was to evaluate the prognostic value of NT-proBNP for predicting 90-day all-cause mortality. METHODS: We designed a prospective observational study including patients hospitalised due to stroke between March 2019 and March 2020. Blood samples were collected on admission to the emergency department and serum NT-proBNP levels were determined. Statistical analysis was performed using a bivariate logistic regression model and receiver operating characteristic (ROC) and Kaplan-Meier curves. Statistical significance was established at p<.05. RESULTS: The study included 207 patients with first ischaemic stroke. Plasma NT-proBNP levels were significantly higher (p<.001) in the cardioembolic stroke group (2069pg/mL±488.5). ROC curves showed that NT-proBNP>499pg/mL was the optimum value for diagnosing cardioembolic ischaemic stroke (sensitivity, 82%; specificity, 80%). Moreover, plasma NT-proBNP levels>499pg/mL were independently associated with cardioembolic stroke (OR: 9.881; p=.001). Finally, NT-proBNP>1500pg/mL was useful for predicting 90-day mortality (sensitivity, 70%; specificity, 93%). CONCLUSIONS: NT-proBNP was independently associated with cardioembolic stroke and should be quantified in blood tests within 24h of stroke onset. High plasma levels (>499pg/mL) may indicate an underlying cardioembolic cause, which should be further studied, while NT-proBNP >1500pg/mL was associated with increased 90-day mortality.

Relação entre a doença periodontal e a doença de Alzheimer - Revisão da Literatura / Relationship between periodontal disease and Alzheimer disease ­ literature review

O objetivo do presente estudo foi revisar a literatura para buscar evidências na associação entre a doença de Alzheimer e a Periodontite. A metodologia usada resultou numa busca às bases de dados PubMed/MEDLINE, Cochrane Library e Web of Science, através dos artigos publicados entre o período de maio de 2000 a maio de 2022. A doença de Alzheimer (DA) é classificada como uma condição neurodegenerativa, um grupo heterogêneo de doenças caracterizadas pela perda lenta e progressiva de uma ou mais funções do sistema nervoso. A doença periodontal (DP) é uma doença infecciosa e inflamatória que causa principalmente destruição óssea alveolar e perda dentária e estima-se que entre 20 e 50% da população geral possa sofrer de DP, dos quais 15-20% apresentam formas graves. A inflamação desempenha um papel crítico no aparecimento e progressão de ambas as doenças. A conclusão desta revisão é que a literatura estudada mostra que os patógenos periodontais e as citocinas pró-inflamatórias contribuíram para a progressão do processo neurodegenerativo da doença de Alzheimer. Porém, são necessários mais estudos clínicos controlados randomizados para a confirmação da relação causal desta associação.

The aim of this study was to review the literature to look for evidence in the association between Alzheimer's disease and Periodontitis. The methodology used resulted in a search of the PubMed/MEDLINE, Cochrane Library and Web of Science databases, through the articles published between May 2000 and May 2022. Alzheimer's disease (AD) is classified as a neurodegenerative condition, a heterogeneous group of diseases characterized by the slow and progressive loss of one or more functions of the nervous system. Periodontal disease (PD) is an infectious and inflammatory disease that mainly causes alveolar bone destruction and tooth loss and it is estimated that between 20 and 50% of the general population may suffer from PD, of which 15-20% present severe forms. Inflammation plays a critical role in the onset and progression of both diseases. The conclusion of this review is that the literature studied shows that periodontal pathogens and pro-inflammatory cytokines contributed to the progression of the neurodegenerative process of Alzheimer's disease. However, more randomized controlled clinical trials are needed to confirm the causal relationship of this association.

Realidad virtual y biomarcadores digitales: una herramienta clínica para el diagnóstico del autismo / Virtual reality and digital biomarkers: a clinical tool for early autism diagnosis

Resumen Introducción : El Trastorno del Espectro Autista (TEA) es un trastorno del neurodesarrollo, y sus procedimien tos tradicionales de evaluación encuentran ciertas li mitaciones. El actual campo de investigación sobre TEA está explorando y respaldando métodos innovadores para evaluar el trastorno tempranamente, basándose en la detección automática de biomarcadores. Sin embargo, muchos de estos procedimientos carecen de validez ecológica en sus mediciones. En este contexto, la reali dad virtual (RV) presenta un prometedor potencial para registrar objetivamente bioseñales mientras los usuarios experimentan situaciones ecológicas. Métodos : Este estudio describe un novedoso y lúdi co procedimiento de RV para la evaluación temprana del TEA, basado en la grabación multimodal de bio señales. Durante una experiencia de RV con 12 esce nas virtuales, se midieron la mirada, las habilidades motoras, la actividad electrodermal y el rendimiento conductual en 39 niños con TEA y 42 compañeros de control. Se desarrollaron modelos de aprendizaje automático para identificar biomarcadores digitales y clasificar el autismo. Resultados : Las bioseñales reportaron un rendimien to variado en la detección del TEA, mientras que el modelo resultante de la combinación de los modelos de las bioseñales demostró la capacidad de identificar el TEA con una precisión del 83% (DE = 3%) y un AUC de 0.91 (DE = 0.04). Discusión : Esta herramienta de detección pue de respaldar el diagnóstico del TEA al reforzar los resultados de los procedimientos tradicionales de evaluación.

Abstract Introduction : Autism Spectrum Disorder (ASD) is a neurodevelopmental condition which traditional as sessment procedures encounter certain limitations. The current ASD research field is exploring and endorsing innovative methods to assess the disorder early on, based on the automatic detection of biomarkers. How ever, many of these procedures lack ecological validity in their measurements. In this context, virtual reality (VR) shows promise for objectively recording biosignals while users experience ecological situations. Methods : This study outlines a novel and playful VR procedure for the early assessment of ASD, relying on multimodal biosignal recording. During a VR experience featuring 12 virtual scenes, eye gaze, motor skills, elec trodermal activity and behavioural performance were measured in 39 children with ASD and 42 control peers. Machine learning models were developed to identify digital biomarkers and classify autism. Results : Biosignals reported varied performance in detecting ASD, while the combined model resulting from the combination of specific-biosignal models demon strated the ability to identify ASD with an accuracy of 83% (SD = 3%) and an AUC of 0.91 (SD = 0.04). Discussion : This screening tool may support ASD diagnosis by reinforcing the outcomes of traditional assessment procedures.

Evaluation of the first 5 years of a glutaric aciduria type I neonatal screening programme in Asturias.

INTRODUCTION: . Neonatal screening of glutaric aciduria type 1 (GA-1) has brought radical changes in the course and outcomes of this disease. This study analyses the outcomes of the first 5 years (2015-2019) of the AGA1 neonatal screening programme in our autonomous community. MATERIAL: . We conducted an observational, descriptive and retrospective study. All neonates born between January 1, 2015 and December 31, 2019 that participated in the neonatal screening programme were included in the study. The glutarylcarnitine (C5DC) concentration in dry blood spot samples was measured by means of tandem mass spectrometry applying a cut-off point of 0.25 µmol/L. RESULTS: . A total of 30 120 newborns underwent screening. We found differences in the C5DC concentration based on gestational age, type of feeding and hours of life at sample collection. These differences were not relevant for screening purposes. There were no differences between neonates with weights smaller and greater than 1500 g. Screening identified 2 affected patients and there were 3 false positives. There were no false negatives. The diagnosis was confirmed by genetic testing. Patients have been in treatment since diagnosis and have not developed encephalopathic crises in the first 4 years of life. CONCLUSIONS: . Screening allowed early diagnosis of two cases of GA-1 in the first 5 years since its introduction in our autonomous community. Although there were differences in C5DC levels based on gestational age, type of feeding and hours of life at blood extraction, they were not relevant for screening.

Os Biomarcadores podem ser Utilizados para Prever Recorrência de Arritmia após a Ablação de Fibrilação Atrial Guiada pelo Ablation-Index? / Can Pre-Ablation Biomarkers Be Used to Predict Arrhythmia Recurrence after Ablation Index-Guided Atrial Fibrillation Ablation?

Resumo Fundamento: O software ablation index (AI) permitiu melhorar os resultados da ablação de fibrilação atrial (FA), mas as taxas de recorrência permanecem significativas. Biomarcadores séricos específicos têm sido associados a essa recorrência. Objetivos: Avaliar se certos biomarcadores podem ser utilizados (individualmente ou combinados) para predizer a recorrência de FA pós ablação guiada pelo AI. Métodos: Estudo multicêntrico, observacional, prospectivo de pacientes consecutivos, encaminhados para ablação de FA de janeiro de 2018 a março de 2021. Hemoglobina, peptídeo natriurético cerebral (BNP), proteína C reativa, troponina I ultrassensível, clearance de creatinina, Hormônio Tireoestimulante (TSH), e Tiroxina livre (T4) foram avaliados quanto à capacidade de prever a recorrência de arritmias durante o acompanhamento. Valores de p <0,05 foram aceitos como estatisticamente significativos. Resultados: Um total de 593 pacientes foram incluídos - 412 com FA paroxística e 181 com FA persistente. Durante o seguimento médio de 24±6 meses, 76,4% não apresentaram recidiva após ablação. Individualmente, os biomarcadores demonstraram um valor preditivo baixo ou nulo para recorrência. No entanto, TSH >1,8 μUI/mL [HR=1,82 (IC95%, 1,89-2,80), p=0,006] foi um preditor independente de recorrência. Avaliando-se a combinação de TSH, FT4 e BNP, a adição de cada valor "anormal" foi associada a uma menor sobrevida livre de recorrência (87,1% se nenhum vs. 83,5% se um vs. 75,1% se dois vs. 43,3% se três biomarcadores, p<0,001). Doentes com três biomarcadores "anormais" apresentaram três vezes maior probabilidade de recorrência de FA, comparativamente aos que não apresentaram nenhum biomarcador "anormal" (HR=2,88 [IC95%, 1,39-5,17], p=0,003). Conclusões: Quando combinados, valores anormais de TSH, FT4 e BNP podem ser uma ferramenta útil para prever a recorrência de FA pós ablação guiada pelo AI.

Abstract Background: Ablation Index (AI) software has allowed better atrial fibrillation (AF) ablation results, but recurrence rates remain significant. Specific serum biomarkers have been associated with this recurrence. Objectives: To evaluate whether certain biomarkers could be used (either individually or combined) to predict arrhythmia recurrence after AI-guided AF ablation. Methods: Prospective multicenter observational study of consecutive patients referred for AF ablation from January 2018 to March 2021. Hemoglobin, brain natriuretic peptide (BNP), C-reactive protein, high sensitivity cardiac troponin I, creatinine clearance, thyroid-stimulating hormone (TSH) and free thyroxine (FT4) were assessed for their ability to predict arrhythmia recurrence during follow-up. Statistical significance was accepted for p values of<0.05. Results: A total of 593 patients were included - 412 patients with paroxysmal AF and 181 with persistent AF. After a mean follow-up of 24±6 months, overall single-procedure freedom from atrial arrhythmia was 76.4%. Individually, all biomarkers had no or only modest predictive power for recurrence. However, a TSH value >1.8 μUI/mL (HR=1.82 [95% CI, 1.89-2.80], p=0.006) was an independent predictor of arrhythmia recurrence. When assessing TSH, FT4 and BNP values in combination, each additional "abnormal" biomarker value was associated with a lower freedom from arrhythmia recurrence (87.1 % for no biomarker vs. 83.5% for one vs. 75.1% for two vs. 43.3% for three biomarkers, p<0.001). Patients with three "abnormal" biomarkers had a threefold higher risk of AF recurrence compared with no "abnormal" biomarker (HR=2.88 [95% CI, 1.39-5.17], p=0.003). Conclusions: When used in combination, abnormal TSH, FT4 and BNP values can be a useful tool for predicting arrhythmia recurrence after AI-guided AF ablation.

Electrophysiological biomarkers in dual pathology.

INTRODUCTION: The co-occurrence of substance use disorder with at least one other mental disorder is called dual pathology, which in turn is characterised by heterogeneous symptoms that are difficult to diagnose and have a poor response to treatment. For this reason, the identification and validation of biomarkers is necessary. Within this group, possible electroencephalographic biomarkers have been reported to be useful in diagnosis, treatment and follow-up, both in neuropsychiatric conditions and in substance use disorders. This article aims to review the existing literature on electroencephalographic biomarkers in dual pathology. METHODS: A narrative review of the literature. A bibliographic search was performed on the PubMed, Science Direct, OVID, BIREME and Scielo databases, with the keywords: electrophysiological biomarker and substance use disorder, electrophysiological biomarker and mental disorders, biomarker and dual pathology, biomarker and substance use disorder, electroencephalography, and substance use disorder or comorbid mental disorder. RESULTS: Given the greater amount of literature found in relation to electroencephalography as a biomarker of mental illness and substance use disorders, and the few articles found on dual pathology, the evidence is organised as a biomarker in psychiatry for the diagnosis and prediction of risk and as a biomarker for dual pathology. CONCLUSIONS: Although the evidence is not conclusive, it suggests the existence of a subset of sites and mechanisms where the effects of psychoactive substances and the neurobiology of some mental disorders could overlap or interact.

Prognostic performance of neutrophil/lymphocyte ratio and platelet/lymphocyte ratio for mortality in patients with acute stroke / Rendimiento pronóstico de la razón neutrófilos/linfocitos y la razón plaquetas/linfocitos para la mortalidad en pacientes con ictus agudo

Objective: To evaluate the prognostic performance of the neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR) for mortality in patients with acute stroke treated at a Peruvian hospital. Design: Retrospective cohort study. Setting: Tertiary care hospital. Patients: Patients aged ≥18 years with a diagnosis of acute stroke and admitted to the hospital from May 2019 to June 2021. Interventions: None. Main variables of interests: Neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, and mortality. Results: A total of 165 patients were included. The mean age was 66.1±14.2 years, and 59.4% were male. Only NLR had a performance superior to 0.7 (AUC: 0.75; 95%CI: 0.65–0.85), and its elevated levels were associated with an increased risk of mortality (aRR: 3.66; 95%CI: 1.77–8.85) after adjusting for confounders. Conclusion: The neutrophil-to-lymphocyte ratio has an acceptable prognostic performance for mortality in patients with acute stroke. Its use may be considered to stratify patients’ risk and to consider timely alternative care and management.(AU)

Objetivo: Evaluar el desempeño pronóstico de la relación neutrófilos-linfocitos (NLR) y la relación plaquetas-linfocitos (PLR) para la mortalidad en pacientes con stroke agudo tratados en un hospital peruano. Diseño: Estudio de cohorte retrospectivo. Ámbito: Hospital de atención terciaria. Participantes: Pacientes ≥18 años con diagnóstico de stroke agudo e ingresados en el hospital entre mayo de 2019 y junio de 2021. Intervenciones: Ninguna. Variables de interés principales: Razón neutrófilos/linfocitos, razón plaquetas/linfocitos y mortalidad. Resultados: Se incluyeron un total de 165 pacientes. La edad media fue de 66,1±14,2 años, y el 59,4% eran varones. Sólo el NLR tuvo un rendimiento superior a 0,7 (AUC: 0,75; IC95%: 0,65-0,85), y sus niveles elevados se asociaron con un mayor riesgo de mortalidad (RRa: 3,66; IC95%: 1,77-8,85) tras ajustar por factores de confusión. Conclusiones: La razón neutrófilos/linfocitos tiene un rendimiento pronóstico aceptable para la mortalidad en pacientes con stroke. Su uso puede ser considerado para estratificar el riesgo de los pacientes y considerar oportunamente cuidados y manejo alternativos.(AU)

Factores de riesgo y biomarcadores de la enfermedad de Alzheimer

Introducción: La enfermedad de Alzheimer, constituye un problema sanitario y social de gran magnitud; precisa de diagnóstico y terapéutica precoces. Se realizó una búsqueda de artículos sobre factores de riesgo y biomarcadores de la enfermedad en las bases de datos PubMed/Medline, Scopus, Scielo y Lilacs, y mediante el buscador Google académico; desde el año 2017 hasta el 2023, en idioma español, inglés y portugués. Objetivo: Analizar los factores de riesgo y los biomarcadores de la enfermedad de Alzheimer. Desarrollo: Los principales factores de riesgo encontrados son edad avanzada, menor educación, poca actividad física, hábito de fumar, consumo excesivo de alcohol, hipertensión arterial, diabetes, obesidad, depresión, pérdida o disminución de la audición, aislamiento social, los traumas craneales y la contaminación ambiental. Los biomarcadores fundamentales son: los marcadores que se utilizan en los estudios de neuroimágenes como la PET Amiloide, PET tau, PET FDG; y en LCR y plasma: Aβ42, Aβ42/Aβ40, p tau 217, p tau 181, GFAP, y neurofilamentos de cadena ligeras. Conclusiones: Se requieren estudios longitudinales, a partir de la presencia de los factores de riesgo asociados a biomarcador, desde edades pregeriátricas en pacientes sanos, que tengan como salidas el deterioro cognitivo y el desarrollo de la demencia, para construir un modelo de predicción.

Introduction: Alzheimer's disease is a health and social problem of great magnitude; it requires early diagnosis and therapy. A search for articles on risk factors and biomarkers of the disease was conducted; in the databases PubMed/Medline, Scopus, Scielo and Lilacs, and through the Google scholar search engine; from 2017 to 2023, in Spanish, English and Portuguese. Objective: To analyze the risk factors and biomarkers of Alzheimer's disease. Development: The main risk factors found are advanced age, lower education, little physical activity, smoking, excessive alcohol consumption, high blood pressure, diabetes, obesity, depression, hearing loss or decrease, social isolation, head trauma and environmental pollution. The fundamental biomarkers are: markers used in neuroimaging studies such as amyloid PET, tau PET, FDG PET; and in CSF and plasma: Aβ42, Aβ42/Aβ40, p tau 217, p tau 181, GFAP, and light chain neurofilaments. Conclusions: Longitudinal studies are required, based on the presence of risk factors associated with biomarkers, from pregeriatric ages in healthy patients, which have cognitive impairment and the development of dementia as outputs, to build a prediction model.

Utilidad de la combinación de biomarcadores de respuesta inflamatoria y escalas clínicas para la estratificación del riesgo en pacientes atendidos en urgencias por sospecha de infección / Usefulness of combining inflammatory biomarkers and clinical scales in an emergency department to stratify risk in patients with infections

Objetivo. Investigar si la combinación de biomarcadores de respuesta inflamatoria (BMRI) y escalas clínicas mejora la estratificación pronóstica de pacientes atendidos en servicios de urgencias hospitalarios (SUH) por sospecha de infección. Método. Estudio analítico, observacional y prospectivo que incluyó pacientes con sospecha de infección atendidos en un SUH. Se recogieron variables demográficas, comorbilidades, datos clínicos a la llegada al SUH, foco de infección y los siguientes BMRI: leucocitos, proteína C reactiva, procalcitonina, lactato y región medial de la proadrenomodulina (MR-proADM). Se calcularon los valores de las escalas SIRS (síndrome de respuesta inflamatoria sistémica), qSOFA (quick Sequential Organ Failure Assessment) y NEWS (National Early Warning Score). La variable de resultado principal fue una compuesta que incluía mortalidad a 30 días o necesidad de ingreso en la unidad de cuidados intensivos (UCI). Resultados. Se incluyeron 473 pacientes, con una edad media de 70 (DE 19) años y el 54,3% (257). Hubo 31 fallecimientos (6,6%) y 16 (3,4%) ingresos en UCI. La variable de resultado se produjo en 45 (9,5%) pacientes. La MR-proADM mostró la mejor área bajo la curva de la característica operativa del receptor (ABC-COR) en comparación con el resto de biomarcadores y escalas clínicas [0,739 (IC 95% 0,671-0,809)], aunque sin diferencias respecto a lactato (p = 0,144) ni a la escala NEWS (p = 0,064). Al combinar MR-proADM con los diferentes biomarcadores y escalas clínicas, no se obtuvo ninguna combinación que mejore significativamente la precisión pronóstica individual del MR-proADM. Conclusiones. La estratificación del riesgo de los pacientes con infección es una cuestión clave para la toma de decisiones en los SUH. La determinación de MR-proADM supera a otros BMRI y escalas clínicas para la estratificación pronóstica de los pacientes a corto plazo en los SUH... (AU)

Objective. To determine whether combining biomarkers of inflammatory response and clinical scales can improve risk stratification of patients with suspected infection in a hospital emergency department (ED). Methods. Prospective observational study of ED patients treated for infections. We collected the following information on arrival: demographic and baseline clinical data, comorbidities, the focus of infection, and values for the following inflammatory biomarkers: leukocyte counts, and C-reactive protein, procalcitonin, and midregional proadrenomedullin (MR-proADM) concentrations. Scores on the following clinical scales were recorded based on the variables gathered: the SIRS (Systemic Inflammatory Response Syndrome) criteria, the qSOFA (Quick Sequential Organ Failure Assessment), and the NEWS (National Early Warning Score). The main outcome was a composite measure that included 30-day death or need for intensive care unit (ICU) admission. Results. A total of 473 patients with a mean (SD) age of 70.3 (19.2) years were included. The majority were men (257, 54.3%). Thirty-one (6.6%) died within 30 days and 16 (3.4%) were admitted to the ICU. The composite outcome (death or ICU admission) occurred in 45 patients (9.5%). The MR-proADM concentration, with an area under the receiver operating characteristic curve of 0.739 (95% CI, 0671-0.809) was a better predictor than the other biomarkers or clinical scales, although the differences between MR-proADM and either lactate concentration or the NEWS were not significant in the comparisons (P = .064). Combining the MR-proADM concentration with any of the scales did not significantly improve risk prediction. Conclusions. Risk stratification of patients with infection is a key part of ED decision-making. MR-proADM concentration is superior to other biomarkers and clinical prediction scales for predicting short-term prognosis in the ED... (AU)

Modelos predictivos de bacteriemia en el servicio de urgencias: revisión sistemática / Models to predict bacteremia in the emergency department: a systematic review

Objetivo. La obtención de hemocultivos (HC) se realiza en el 15% de los pacientes atendidos con sospecha de infección en los servicios de urgencias (SU) con una rentabilidad diagnóstica variable (2-20%). La mortalidad a 30 días de estos pacientes con bacteriemia es elevada, doble o triple que el resto con el mismo proceso. Así, encontrar un modelo predictivo de bacteriemia eficaz y aplicable en los SU sería muy importante. Clásicamente, el modelo de Shapiro ha sido la referencia en todo el mundo. El objetivo de esta revisión sistemática (RS) es comparar la capacidad para predecir bacteriemia en los SU de los distintos modelos predictivos publicados desde el año 2008 (fecha de publicación del modelo de Shapiro). Métodos. Se realiza una RS siguiendo la normativa PRISMA en las bases de datos de PubMed, Web of Science, EMBASE, Lilacs, Cochrane, Epistemonikos, Tripdatabase y ClinicalTrials.gov desde enero de 2008 hasta 31 mayo 2023 sin restricción de idiomas y utilizando una combinación de términos MESH: “Bacteremia/Bacteraemia/Blood Stream Infection”, “Prediction Model/Clinical Prediction Rule/Risk Prediction Model”, “Emergencies/Emergency/Emergency Department” y “Adults”. Se incluyeron estudios de cohortes observacionales (analíticos de rendimiento diagnóstico). Para valorar la calidad del método empleado y el riesgo de sesgos de los artículos incluidos se utilizó la NewcastleOttawa Scale (NOS). No se incluyeron estudios de casos y controles, revisiones narrativas y en otros tipos de artículos. No se realizaron técnicas de metanálisis, pero los resultados se compararon narrativamente. El protocolo de la RS se registró en PROSPERO (CRD42023426327). Resultados. Se identificaron 917 artículos y se analizaron finalmente 20 que cumplían los criterios de inclusión. Los estudios incluidos contienen 33.182 HC procesados con 5.074 bacteriemias (15,3%). Once estudios fueron calificados de calidad alta, 7 moderada y 2 baja... (AU)

Objective. Blood cultures are ordered in emergency departments for 15% of patients with suspected infection. The diagnostic yield varies from 2% to 20%. Thirty-day mortality in patients with bacteremia is high, doubling or tripling the rate in patients with the same infection but without bacteremia. Thus, finding an effective model to predict bacteremia that is applicable in emergency departments is an important goal. Shapiro’s model is the one traditionally used as a reference internationally. The aim of this systematic review was to compare the predictive power of bacteremia risk models published since 2008, when Shapiro’s model first appeared. Methods. We followed the recommendations of the Preferred Reporting Items for Systematic Reviews and MetaAnalyses (PRISMA) statement, searching in the following databases for articles published between January 2008 and May 31, 2023: PubMed, Web of Science, EMBASE, Lilacs, Cochrane, Epistemonikos, Trip Medical Database, and ClinicalTrials.gov. No language restrictions were specified. The search terms were the following Medical Subject Headings: bacteremia/bacteraemia/blood stream infection, prediction model/clinical prediction rule/risk prediction model, emergencies/emergency/emergency department, and adults. Observational cohort studies analyzing diagnostic yield were included; case-control studies, narrative reviews, and other types of articles were excluded. The Newcastle-Ottawa Scale was used to score quality and risk of bias in the included studies. The results were compared descriptively, without meta-analysis. The protocol was included in the PROSPERO register (CRD42023426327). Results. Twenty studies out of a total of 917 were found to meet the inclusion criteria. The included studies together analyzed 33 182 blood cultures, which detected 5074 cases of bacteremia (15.3%). Eleven studies were of high quality, 7 of moderate quality, and 2 of low quality... (AU)

Utilidad de la combinación de biomarcadores de respuesta inflamatoria y escalas clínicas para la estratificación del riesgo en pacientes atendidos en urgencias por sospecha de infección / Usefulness of combining inflammatory biomarkers and clinical scales in an emergency department to stratify risk in patients with infections

Objetivo. Investigar si la combinación de biomarcadores de respuesta inflamatoria (BMRI) y escalas clínicas mejora la estratificación pronóstica de pacientes atendidos en servicios de urgencias hospitalarios (SUH) por sospecha de infección. Método. Estudio analítico, observacional y prospectivo que incluyó pacientes con sospecha de infección atendidos en un SUH. Se recogieron variables demográficas, comorbilidades, datos clínicos a la llegada al SUH, foco de infección y los siguientes BMRI: leucocitos, proteína C reactiva, procalcitonina, lactato y región medial de la proadrenomodulina (MR-proADM). Se calcularon los valores de las escalas SIRS (síndrome de respuesta inflamatoria sistémica), qSOFA (quick Sequential Organ Failure Assessment) y NEWS (National Early Warning Score). La variable de resultado principal fue una compuesta que incluía mortalidad a 30 días o necesidad de ingreso en la unidad de cuidados intensivos (UCI). Resultados. Se incluyeron 473 pacientes, con una edad media de 70 (DE 19) años y el 54,3% (257). Hubo 31 fallecimientos (6,6%) y 16 (3,4%) ingresos en UCI. La variable de resultado se produjo en 45 (9,5%) pacientes. La MR-proADM mostró la mejor área bajo la curva de la característica operativa del receptor (ABC-COR) en comparación con el resto de biomarcadores y escalas clínicas [0,739 (IC 95% 0,671-0,809)], aunque sin diferencias respecto a lactato (p = 0,144) ni a la escala NEWS (p = 0,064). Al combinar MR-proADM con los diferentes biomarcadores y escalas clínicas, no se obtuvo ninguna combinación que mejore significativamente la precisión pronóstica individual del MR-proADM. Conclusiones. La estratificación del riesgo de los pacientes con infección es una cuestión clave para la toma de decisiones en los SUH. La determinación de MR-proADM supera a otros BMRI y escalas clínicas para la estratificación pronóstica de los pacientes a corto plazo en los SUH... (AU)

Objective. To determine whether combining biomarkers of inflammatory response and clinical scales can improve risk stratification of patients with suspected infection in a hospital emergency department (ED). Methods. Prospective observational study of ED patients treated for infections. We collected the following information on arrival: demographic and baseline clinical data, comorbidities, the focus of infection, and values for the following inflammatory biomarkers: leukocyte counts, and C-reactive protein, procalcitonin, and midregional proadrenomedullin (MR-proADM) concentrations. Scores on the following clinical scales were recorded based on the variables gathered: the SIRS (Systemic Inflammatory Response Syndrome) criteria, the qSOFA (Quick Sequential Organ Failure Assessment), and the NEWS (National Early Warning Score). The main outcome was a composite measure that included 30-day death or need for intensive care unit (ICU) admission. Results. A total of 473 patients with a mean (SD) age of 70.3 (19.2) years were included. The majority were men (257, 54.3%). Thirty-one (6.6%) died within 30 days and 16 (3.4%) were admitted to the ICU. The composite outcome (death or ICU admission) occurred in 45 patients (9.5%). The MR-proADM concentration, with an area under the receiver operating characteristic curve of 0.739 (95% CI, 0671-0.809) was a better predictor than the other biomarkers or clinical scales, although the differences between MR-proADM and either lactate concentration or the NEWS were not significant in the comparisons (P = .064). Combining the MR-proADM concentration with any of the scales did not significantly improve risk prediction. Conclusions. Risk stratification of patients with infection is a key part of ED decision-making. MR-proADM concentration is superior to other biomarkers and clinical prediction scales for predicting short-term prognosis in the ED... (AU)