Validación de un score de neumonía bacteriana como métodos para predecir etiología en pacientes de 1 mes a 8 años de edad, ingresados en Hospital Nacional de Niños Benjamín Bloom, Mayo - Diciembre 2009.

Determinar la etiología de las neumonías para decidir su tratamiento, no es simple, sin una prueba confirmatoria los médicos se apoyan de evaluaciones clínicas, radiológicas, de laboratorio y edad de pacientes, es por ello, que se estudió una regla de predicción clínica que combinó varios elementos que incrementaron la capacidad diagnóstica de dicha patología. Objetivo: Se evaluó la capacidad diagnóstica de una escala de puntaje para predecir etiología en niños con neumonía (Bacterial Pneumonia Score), y otras variables no incluidas en el score que resultaron asociadas a las neumonías. Estudio descriptivo, transversal, retrospectivo de evaluación de prueba diagnóstica, en Hospital Benjamin Bloom, desde mayo a diciembre 2009, incluyendo ≥1 mes a 8 años de edad, hospitalizados por neumonía, con datos de temperatura, radiografía torácica, hemograma, hisopado nasofaríngeo, se excluyeron los pacientes que necesitaron cuidados en UCI o intermedios, con patologías respiratorias crónicas, cuerpo extraño o aspiración, enfermedades oncológicas, inmunodeficiencias o neumonía con radiografía 8 semanas previo al ingreso en estudio. Resultados: Se incluyeron 275 pacientes, de ellos 120 diagnosticados con patología viral y 180 con etiología bacteriana, se registraron datos del expediente clínico a través de un cuestionario que contempló variables del BPS además de otras que resultaron estadísticamente asociadas por Chi cuadrado. Según el score ≥ 4 puntos se calculó una sensibilidad de 79% (IC 95%: 75-82), especificidad de 91% (IC 95%: 85-96), valor predictivo positivo de 94% (IC 95% 90-97) y valor predictivo negativo de 69% (IC %: 61-78).y una eficacia diagnostica bajo curva ROC de 0.88. Conclusión: El BPS resultó tener buena capacidad para identificar la mayoría de pacientes con neumonía acteriana, pero se mostró más preciso para descartarla.

Modelação matemática para identificar o valor de T-Score

A osteoporose é uma patologia esquelética sistémica, caracterizada pela diminuição da massa óssea, provocando uma diminuição da resistência do osso e, consequentemente um aumento do risco de fraturas no indivíduo. Neste estudo pretende-se prever o valor que permite determinar se um paciente tem ou não osteoporose, denominado de T-Score. Normalmente este valor é obtido através de um exame de densitometria óssea, a absorciometria de raios-X de dupla energia (DEXA). Além disso, pretendeu-se converter os valores de T-Score e a densidade mineral óssea (DMO) (ou bone mineral density - BMD) para os vários equipamentos existentes para este exame. Para finalizar, criou-se um documento PDF com as previsões e as conversões alcançadas.

Rendimiento del score PIM 2 en una Unidad de Cuidados Intensivos Pediátricos

Objetivo: evaluar el rendimiento del score de predicción de mortalidad PIM 2 en una población de pacientes pediátricos críticos. Materiales y métodos: se realizó un estudio prospectivo, entre el 01 de enero y el 31 de diciembre de 2013. Se incluyeron todos los pacientes con una edad comprendida entre 29 días y 14 años que ingresaron a la Unidad de Cuidados Intensivos Pediátricos (CIP) de la Asociación Española. Fueron excluidos aquellos pacientes que fallecieron antes de las 12 horas, los que ingresaron para monitorización u observación luego de procedimientos endoscópicos o quirúrgicos menores o para realización de vías y los neonatos. Para evaluar el rendimiento del score PIM 2 se analizó tanto su calibración, como su discriminación, mediante la aplicación del test de bondad de ajuste de Hosmer-Lemeshow y la construcción de la curva ROC y el cálculo del área bajo la curva. Resultados: se incluyeron 184 pacientes para el análisis. La tasa de mortalidad de esta población fue de 5,4% (IC95% 1,88-8,98). La media de internación fue de 8,3 días (rango 12 horas a 27 días) y en el caso de los fallecidos fue de 11.3 días (rango 1-20). La aplicación del test de Hosmer-Lemeshow arrojó un valor de Chi cuadrado de 5,37 (p=0,71). El área bajo la curva ROC fue de 0,90. Para un punto de corte de 0,5 el rendimiento de la prueba evidenció una validez global del 96,7% (IC 95% entre 93,77-99,57), un valor predictivo positivo del 100% (87,50-100) y un valor predictivo negativo de 96,67% (93,77-99,57). La sensibilidad para este corte fue del 40% (4,64-75,36) y una especificidad del 100% (99,71-100). Conclusiones: el score PIM 2 ha presentado en la población estudiada una adecuada calibración y discriminación global. Por tanto, su utilidad como instrumento para medición y evaluación de la calidad asistencial permanece vigente. Pese a ello, su aplicabilidad práctica fue limitada en pacientes asignados a deciles de riesgo “bajo” en donde el score presentó problemas de discriminación y una alta tasa de falsos negativos.

ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization

Background: Statistical analysis of DNA microarray data provides a valuable diagnostic tool for the investigation of genetic components of diseases. To take advantage of the multitude of available data sets and analysis methods, it is desirable to combine both different algorithms and data from different studies. Applying ensemble learning, consensus clustering and cross-study normalization methods for this purpose in an almost fully automated process and linking different analysis modules together under a single interface would simplify many microarray analysis tasks. Results: We present ArrayMining.net, a web-application for microarray analysis that provides easy access to a wide choice of feature selection, clustering, prediction, gene set analysis and cross-study normalization methods. In contrast to other microarray-related web-tools, multiple algorithms and data sets for an analysis task can be combined using ensemble feature selection, ensemble prediction, consensus clustering and cross-platform data integration. By interlinking different analysis tools in a modular fashion, new exploratory routes become available, e.g. ensemble sample classification using features obtained from a gene set analysis and data from multiple studies. The analysis is further simplified by automatic parameter selection mechanisms and linkage to web tools and databases for functional annotation and literature mining. Conclusion: ArrayMining.net is a free web-application for microarray analysis combining a broad choice of algorithms based on ensemble and consensus methods, using automatic parameter selection and integration with annotation databases.

Relação entre o score de adesão à dieta mediterrânica e a hemoglobina glicosilada em pessoas com diabetes mellitus tipo 2

Poster apresentado no XIV Congresso de Nutrição e Alimentação. Centro de Congressos de Lisboa, 21-22 Maio de 2015

Macroglial and retinal changes in hypercholesterolemic rabbits after normalization of cholesterol levels

This study evaluates hypercholesterolemic rabbits, examining the retinal changes in Müller cells and astrocytes as well as their variations after a period of normal blood-cholesterol values induced by a standard diet. New Zealand rabbits were divided into three groups: G0, fed a standard diet; G1A, fed a 0.5% cholesterol-enriched diet for 8 months; and G1B, fed as G1A followed by standard diet for 6 months. Eyes were processed for transmission electron microscopy and immunohistochemistry (GFAP). While G1B resembled G0 more than did G1A, they shared alterations with G1A: a) as in G1A, Müller cells were GFAP+, filled spaces left by axonal degeneration, formed glial scars and their nuclei were displaced to the nerve-fibre layer. The area occupied by the astrocytes associated with the nerve-fibre bundles (AANFB) and by perivascular astrocytes (PVA) in G1A and G1B was significantly lower than in controls. However, no significant differences in PVA were found between G1A and G1B. In G1B, type I PVA was absent and replaced by hypertrophic type II cells; b) Bruch's membrane (BM) was thinner in G1B than in G1A; c) the retinal pigment epithelium (RPE) cytoplasm contained fewer lipids in G1B than in G1A; d) in G1A and G1B choriocapillaris and retinal vessel showed alterations with respect to G0; e) cell death and axonal degeneration in the retina were similar in G1A and G1B. The substitution of a hyperlipemic diet by a standard one normalizes blood-lipid levels. However, the persistence of damage at retinal vessels and BM-RPE could trigger chronic ischemia.

Development of an activity disease score in patients with uveitis (UVEDAI)

To develop a disease activity index for patients with uveitis (UVEDAI) encompassing the relevant domains of disease activity considered important among experts in this field. The steps for designing UVEDAI were: (a) Defining the construct and establishing the domains through a formal judgment of experts, (b) A two-round Delphi study with a panel of 15 experts to determine the relevant items, (c) Selection of items: A logistic regression model was developed that set ocular inflammatory activity as the dependent variable. The construct “uveitis inflammatory activity” was defined as any intraocular inflammation that included external structures (cornea) in addition to uvea. Seven domains and 15 items were identified: best-corrected visual acuity, inflammation of the anterior chamber (anterior chamber cells, hypopyon, the presence of fibrin, active posterior keratic precipitates and iris nodules), intraocular pressure, inflammation of the vitreous cavity (vitreous haze, snowballs and snowbanks), central macular edema, inflammation of the posterior pole (the presence and number of choroidal/retinal lesions, vascular inflammation and papillitis), and global assessment from both (patient and physician). From all the variables studied in the multivariate model, anterior chamber cell grade, vitreous haze, central macular edema, inflammatory vessel sheathing, papillitis, choroidal/retinal lesions and patient evaluation were included in UVEDAI. UVEDAI is an index designed to assess the global ocular inflammatory activity in patients with uveitis. It might prove worthwhile to motorize the activity of this extraarticular manifestation of some rheumatic diseases.

Correlacion entre hemoglobina glicosilada con hallazgos sintax score ii en pacientes con sospecha clínica de enfermedad coronaria, hospitalizados en la unidad coronaria del hospital San José centro en enero a septiembre del año 2015

Se realiza un estudio de corte transversal en el periodo de enero a septiembre del año 2016 en la unidad coronaria del Hospital San José Centro de la Ciudad de Bogotá; en pacientes con sospecha de enfermedad coronaria (Síndrome coronario agudo y angina estable) y antecedente de Diabetes Mellitus Tipo 2, se recolectaron 42 pacientes con los criterios de inclusión a quienes se realizó angiografía coronaria como parte del protocolo de estudio y manejo de la unidad, el objetivo primario fue demostrar la posible correlación entre niveles de hemoglobina glicosilada y la escala de severidad SYNTAX Score I y II de enfermedad coronaria, como objetivos secundarios; caracterizar las variables sociodemográficas, comorbilidades y posible relación con el tipo de presentación de enfermedad coronaria. Como hallazgos relevantes no se encontró correlación importante ni significativa entre niveles de hemoglobina glicosilada y la escala Syntax score II ni Syntax score I, a pesar de que la mayoría de pacientes mostraban mal control crónico de su diabetes mellitus tipo 2, con niveles mayores > 7%, como hallazgo positivo se encontro asociación estadísticamente significativa con niveles de LDL y las diferentes formas de presentación de enfermedad coronaria, a mayor niveles de LDL mayor probabilidad de IAM e IAM con elevación del segmento ST. Se considera que con estudios multicentricos en diferentes ciudades y unidades de cuidado cardiovascular con diferentes niveles de riesgo, se podría demostrar la posible correlación entre niveles de hemoglobina glicosilada y los grados de severidad de enfermedad coronaria representados por las escalas Syntax score I y II.

Proposal and Validation of a Scale of Composite Measure Reactivity Score to Characterize the Reactivity in Horses During Handling

This study aimed to identify the parameters related to the expression of the reactivity in horses during handling and based on that proposed and validated a scale of composite measure reactivity score to characterize horse's reactivity. To this end, the first stage (S1) proposed the scale and the second (S2) validated it. In S1, 364 Lusitano horses were evaluated, 188 were adult breeding mares (4–12 years old), and 176 were foals (males/females, aged from 2 months to 2 years). During hooves trimming, vermifuge application, palpation scores were assigned to behaviors of movement, ears and eyes position, breathing, vocalization, and urination. A response parameter called reactivity was attributed to each animal, ranging from score 1 (nonreactive/calm) to score 4 (very reactive/aggressive). The verification of the possible parameters (age, behavior), which explains the response parameter (reactivity), was taken using ordinal proportional odds model. Movement, breathing, ears and eyes position, vocalization, and age appear to explain the reactivity of horses during handling (P < .01). Therefore, based on these parameters, it was possible to propose two scales of composite measure reactivity score: one to characterize the mares and another the foals. On S2, the proposed scale was validated by the simultaneous application of Forced Human Approach Test, another commonly used test to evaluate the reactivity in horses, with a correlation of 0.97 (P < .05). The assessment of the reactivity of horses during handling by a composite measure reactivity score scale is valid, and easy to apply, without disrupting daily routine and override the impact of individual differences.

Portuguese Version of the Suicidal Behaviors Questionnaire-Revised: Validation Data and the Establishment of a Cut-Score for Screening Purposes

The aim of the present study is to provide validation data regarding the Portuguese version of the Suicidal Behaviors Questionnaire Revised in nonclinical individuals. Two studies were undertaken with two different nonclinical samples in order to demonstrate reliability, concurrent, predictive, and construct validity, and in order to establish an appropriate cut-score for nonclinical individuals. A sample of 810 community adults participated in Study 1. Results from this study provided information regarding scale internal consistency, exploratory and confirmatory factor analysis, and concurrent validity. Receiver operating characteristic curve analysis established a cut-off score to be used for screening purposes with nonclinical individuals. A sample of 440 young adults participated in Study 2, which demonstrated scale score internal consistency and 5-month predictive validity. Further, 5-month test-retest reliability was also evaluated and the correlations of SBQ-R scale scores with two other measures that assess constructs related to suicidality, depression and psychache, were also performed. In addition, confirmatory factor analysis was undertaken to demonstrate the robustness of the result obtained in Study 1. Overall, findings supported the psychometric appropriateness of the Portuguese Suicidal Behaviors Questionnaire-Revise

Development and validation of an echocardiography score for diagnosis of cardiac masses

Background Echocardiography is the cornerstone in the evaluation of cardiac masses and provides accurate characterization. Despite, its accuracy in diagnosis of cardiac masses (CM) remains challenging and, up to date, no validated diagnostic algorithm is validated. Purpose The aim of our study was to evaluate the diagnostic accuracy of echocardiography, to identify the echocardiographic predictors of malignancy and to develop and then validate a multiparametric echocardiographic score that could be used to estimate the likelihood of the histological nature of a CM. Materials and methods The final sample consisted of 273 consecutive patients who had a 2D-echocardiographic evaluation and a histologic diagnosis. Logistic regression was performed to evaluate the ability of echocardiographic findings to discriminate benign versus malignant masses, then a scoring system was developed and validated in a separate test cohort. Results Of the 322 patients initially included in the Bologna Cardiac Masses Registry, 13 with a poor acoustic window, 27 with no histological examination patients and 9 extra-cardiac masses were excluded. In the remaining 273 patients, classical 2-D echocardiogram identified 249 masses with a diagnostic accuracy of 88%. A weighted score [Diagnostic Echocardiographic Mass (DEM) Score] ranging from 0 to 9 was obtained from 6 variables: infiltration, polylobate mass, moderate-severe pericardial effusion. The AUC for the score was 0.965 (95% CI [0.938-0.993]). In a logistic regression analysis using the DEM score as a predictor, the likelihood of malignant CM increased more than 4 times for a 1-unit increase in the score (OR=4.468; 95% CI 2.733-7.304). A score < 3 denoted a high probability of a benign diagnosis, and a score ≥ 5 points corresponded to a higher risk of malignancy. Conclusion 2D-Echocardiography provides a high diagnostic accuracy in identifying cardiac masses and our multiparametric echocardiographic score could be useful to predict the histological nature of cardiac masses.

Valutazione della concordanza e della capacità predittiva degli score prognostici per la definizione di rapida progressione della malattia renale conica nei pazienti con malattia policistica epato renale. Analisi di una coorte multicentrica.

Introduzione: La malattia policistica autosomica dominante (ADPKD) è una causa comune di malattia renale terminale (ESKD). È caratterizzata dallo sviluppo di cisti renali bilaterali che aumentano progressivamente di volume. Il Tolvaptan viene prescritto in base a 3 criteri: volume renale totale (HtTKV) e Mayo Clinic Imaging Class (MCIC), tasso di declino dell'eGFR e al Predicting Renal Outcome in Polycystic Kidney Disease (PROPKD), che combina variabili cliniche e genetiche. In questa coorte multicentrica retrospettiva, l'obiettivo era di valutare e migliorare la concordanza di sensibilità e specificità predittive di MCIC e PROPKD. Metodi: I dati di pazienti adulti affetti da ADPKD sono stati ottenuti da 2 centri di Bologna (B) e Dublino (D). Abbiamo definito RP un calo dell'eGFR ≥3 mL/min/1,73m2/anno su 4 anni (Clinical Score), o classi MCIC 1C-D-E, o punteggio PROPKD da 7 a 9. Per i parametri clinici sono state utilizzate statistiche descrittive. La concordanza tra i punteggi è stata valutata tramite la statistica Kappa. Nelle varianti missenso di PKD1, il punteggio REVEL è stato trattato come una variabile continua; (>0,65 patogeno'). Risultati: Abbiamo valutato 201 pazienti con ADPKD. Il Propkd e il MCIC erano rispettivamente: 90% specifico e 31,3% sensibile; 89,6% sensibile e 28,6% specifico per identificare il calo dell'eGFR. Kappa di Cohen era di 0,025. Il 47,9% (n=143) è risultato concorde. Il punteggio Revel applicato alle mutazioni PKD1NT identifica da 15 a 19 pazienti che potrebbero avere una RP. L'analisi multivariata mostra dati statisticamente significativi per HB (p:0,016), eventi urologici (p: 0,005) e MCIC (p: 0,074). Conclusioni: La concordanza tra i punteggi risulta bassa. Il PROPKD è più selettivo rispetto al Mayo. Tuttavia, il PROPKD permette di identificare alcune RP escluse dall'uso del solo MCIC. L'uso combinato dei punteggi può aumentare la capacità di identificare le RP. Il punteggio REVEL potrebbe migliorare questa concordanza

Medial Artery Calcification (MAC) e Small Artery Disease (SAD) nei pazienti con ischemia critica degli arti inferiori: definizione dei fattori predisponenti, svilup-po di uno score prognostico, definizione istopatologica e valutazione dei risultati dell'arterializzazione delle vene dell'arto inferiore come tecnica di rivascolarizzazione

Questo studio si concentra sull'ischemia critica cronica dell'arto inferiore (CLTI), una patologia globale con gravi complicanze e impatto sociale elevato. Recentemente, la "Medial Artery Calcification" (MAC) è emersa come fattore prognostico significativo nei pazienti con CLTI e malattia grave dei vasi del piede, ma le informazioni sono principalmente retrospettive. Questa tesi esplora la relazione tra MAC e CLTI in tre sezioni. Nella sezione clinica, 248 pazienti sono stati divisi in gruppi MAC per valutare l'impatto prospettico sulla guarigione e sul salvataggio dell'arto. Nella sezione isto-patologica, campioni arteriosi di 26 pazienti sottoposti ad amputazione maggiore sono stati analizzati per comprendere la relazione tra MAC, aterosclerosi e occlusione vascolare. Nella sezione di arterializzazione, 16 pazienti sottoposti all'arterializzazione delle vene del piede (AVP) sono stati esaminati per valutare i risultati clinici prospettici. I risultati della sezione clinica indicano che la presenza di MAC severa è associata a risultati clinici peggiori nei pazienti affetti da CLTI. L'analisi isto-patologica mostra una prevalenza elevata di MAC rispetto all'aterosclerosi, con una associazione importante tra MAC e iperplasia intimale. L'AVP presenta risultati promettenti nei pazienti affetti da CLTI. In conclusione, la MAC influisce sui risultati clinici della CLTI, e l'AVP potrebbe essere una strategia efficace di trattamento.

Developing a radiomic based machine learning model to identify patients with resected non-small-cell lung cancer at high risk of relapse

Background There is a wide variation of recurrence risk of Non-small-cell lung cancer (NSCLC) within the same Tumor Node Metastasis (TNM) stage, suggesting that other parameters are involved in determining this probability. Radiomics allows extraction of quantitative information from images that can be used for clinical purposes. The primary objective of this study is to develop a radiomic prognostic model that predicts a 3 year disease free-survival (DFS) of resected Early Stage (ES) NSCLC patients. Material and Methods 56 pre-surgery non contrast Computed Tomography (CT) scans were retrieved from the PACS of our institution and anonymized. Then they were automatically segmented with an open access deep learning pipeline and reviewed by an experienced radiologist to obtain 3D masks of the NSCLC. Images and masks underwent to resampling normalization and discretization. From the masks hundreds Radiomic Features (RF) were extracted using Py-Radiomics. Hence, RF were reduced to select the most representative features. The remaining RF were used in combination with Clinical parameters to build a DFS prediction model using Leave-one-out cross-validation (LOOCV) with Random Forest. Results and Conclusion A poor agreement between the radiologist and the automatic segmentation algorithm (DICE score of 0.37) was found. Therefore, another experienced radiologist manually segmented the lesions and only stable and reproducible RF were kept. 50 RF demonstrated a high correlation with the DFS but only one was confirmed when clinicopathological covariates were added: Busyness a Neighbouring Gray Tone Difference Matrix (HR 9.610). 16 clinical variables (which comprised TNM) were used to build the LOOCV model demonstrating a higher Area Under the Curve (AUC) when RF were included in the analysis (0.67 vs 0.60) but the difference was not statistically significant (p=0,5147).

The Clinical Impact Of Cerebellar Grey Matter Pathology In Multiple Sclerosis.

The cerebellum is an important site for cortical demyelination in multiple sclerosis, but the functional significance of this finding is not fully understood. To evaluate the clinical and cognitive impact of cerebellar grey-matter pathology in multiple sclerosis patients. Forty-two relapsing-remitting multiple sclerosis patients and 30 controls underwent clinical assessment including the Multiple Sclerosis Functional Composite, Expanded Disability Status Scale (EDSS) and cerebellar functional system (FS) score, and cognitive evaluation, including the Paced Auditory Serial Addition Test (PASAT) and the Symbol-Digit Modalities Test (SDMT). Magnetic resonance imaging was performed with a 3T scanner and variables of interest were: brain white-matter and cortical lesion load, cerebellar intracortical and leukocortical lesion volumes, and brain cortical and cerebellar white-matter and grey-matter volumes. After multivariate analysis high burden of cerebellar intracortical lesions was the only predictor for the EDSS (p<0.001), cerebellar FS (p = 0.002), arm function (p = 0.049), and for leg function (p<0.001). Patients with high burden of cerebellar leukocortical lesions had lower PASAT scores (p = 0.013), while patients with greater volumes of cerebellar intracortical lesions had worse SDMT scores (p = 0.015). Cerebellar grey-matter pathology is widely present and contributes to clinical dysfunction in relapsing-remitting multiple sclerosis patients, independently of brain grey-matter damage.