Lactantes febriles menores de tres meses sin foco aparente: ¿es necesario cambiar la estrategia de evaluación?: probamos el step by step / Febrile infants of under three months of age without apparent focus: is it necessary to change the assessment strategy?: we tested the step-by-step approach / Lactentes febris com menos de três meses de idade e sem foco aparente: é necessário alterar a estratégia de avaliação?: tentamos o "passo a passo"

Introducción: la fiebre es un motivo muy frecuente de consulta y hasta en un 20% de los pacientes no se encuentra la causa. En el ámbito de la emergentología pediátrica clásicamente ha existido interés en homogeneizar la forma de evaluar los lactantes febriles menores de tres meses. Contar con un protocolo que permita detectar precozmente el niño que cursa una infección bacteriana invasiva (IBI) sin realizar conductas desproporcionadas es todo un desafío. Objetivo: evaluar y comparar la capacidad para identificar IBI en la pauta actual de fiebre sin foco (FSF) como en la estrategia step by step, en lactantes con FSF valorados en el DEP-CHPR. Material y métodos: estudio observacional, descriptivo, retrospectivo y de pruebas diagnósticas. Criterios de inclusión: lactantes menores de 90 días de vida que consultaron en 2017 y 2018 en DEP-CHPR con diagnóstico de FSF. Resultados: se incluyeron 261 lactantes evaluados con la pauta de FSF actual, en ellos se aplicó la estrategia step by step. El rango de edad fue de 84 días (4-88 días) con una media de 41 días. Sexo masculino 148 niños (56,7%). Se registraron 37 infecciones bacterianas (14,2%) de las cuales 3 fueron IBI (1,1%) y 34 fueron no-IBI (13,1%). La sensibilidad para step by step fue de 0,94% y de 0,89 para la pauta actual, con un VPN de 0,98 para ambas estrategias. Discusión: los lactantes menores de 3 meses son más susceptibles por características fisiológicas a infecciones bacterianas invasivas y cuanto más pequeño aumenta aún más la frecuencia. El step by step discrimina a menores de 1 mes en menores de 21 días y otro grupo de más de 21 días. Nuestra pauta no hace esta discriminación y realiza por igual laboratorio en sangre, orina y líquido cefalorraquídeo; realizando en ocasiones estudios cruentos no necesarios. Conclusiones: ambas estrategias aplicadas en esta población resultaron altamente sensibles para identificar infección bacteriana con un VPN elevado. La aplicación de step by step presenta como beneficio adicional evitar con seguridad la punción lumbar en recién nacidos entre los 21 y 28 días.

Introduction: fever is a very frequent reason for consultation and in up to 20% of patients the cause has not been found. In the field of pediatric emergentology, there has been a traditional interest in homogenizing the way of assessing febrile infants under three months of age. Having a protocol that enables early detection of children with IBIs without engaging in disproportionate procedures is a challenge. Objective: to evaluate and compare the ability to identify IBIs in the present FSF regimen as in the Step-by-Step strategy, in infants with FSF assessed at the Pereira Rossell Pediatric Hospital Center. Material and methods: observational, descriptive, retrospective study and diagnostic tests. Inclusion criteria: Infants under 90 days of age who consulted in 2017 and 2018 at the DEP-CHPR with a diagnosis of FSF. Results: 261 infants diagnosed with FSF regimen were included and they all received a Step-by-Step approach. The age range was 84 days (4 - 88) days with a mean of 41 days. Males 148 children (56.7%). There were 37 bacterial infections (14.2%), of which 3 were IBI (1.1%) and 34 were Non-IBI (13.1%). The sensitivity for the Step-by-Step approach was 0.94% and 0.89 for the current regimen, with a NPV of 0.98 for both strategies. Discussion: infants younger than 3 months-old are more susceptible due to physiological characteristics to invasive bacterial infections, and the younger they are, the higher the frequency. The Step-by-Step Approach splits children of under 1 month of age into those under or over 21 days of age. Our guideline does not make this discrimination and performs the same blood, urine and cerebrospinal fluid laboratory tests sometimes carrying out blood tests is not necessary. Conclusions: both approaches used in this population were highly sensitive to the identification of bacterial infections with a high NPV. The application of the "Step-by-Step" approach has the additional benefit of avoiding lumbar puncture to newborns of between 21 and 28 days of age.

Introdução: a febre é um motivo muito comum de consulta e em até 20% dos pacientes a causa não é encontrada. No campo da emergência pediátrica, tradicionalmente tem havido interesse em homogeneizar a forma de avaliação de lactentes febris menores de três meses de idade. Ter um protocolo que permita a detecção precoce de uma criança com IBI sem realizar procedimentos desproporcionais é um desafio. Objetivo: avaliar e comparar a capacidade de identificação de IBI na atual Diretriz da FSF e na estratégia Passo a Passo, em lactentes com FSF avaliados no DEP-CHPR. Material e métodos: estudo observacional, descritivo, retrospectivo e de testes diagnósticos. Critérios de inclusão: Lactentes com menos de 90 dias de idade que consultaram em 2017 e 2018 no Hospital Pediátrico Pereira Rossell do Uruguai com diagnóstico de FSF. Resultados: Foram incluídos 261 lactentes avaliados com a atual diretriz da FSF, nos quais foi aplicada a estratégia Passo a Passo. A faixa etária foi de 84 dias (4 - 88) dias com média de 41 dias. Sexo masculino 148 crianças (56,7%). Foram registradas 37 infecções bacterianas (14,2%), sendo 3 IBI (1,1%) e 34 Não IBI (13,1%). A sensibilidade para Passo a Passo foi de 0,94% e 0,89 para o esquema atual, com VPN de 0,98 para ambas estratégias. Discussão: crianças menores de 3 meses de idade são mais suscetíveis a infecções bacterianas invasivas devido às características fisiológicas e quanto menores, mais frequentes. O Passo a Passo separa crianças menores de 1 mês em dois grupos: menores de 21 dias e acima de 21 dias. Nossa diretriz não faz essa discriminação e realiza exames laboratoriais de sangue, urina e líquido cefalorraquidiano da mesma forma; às vezes realizando estudos de sangue que não são necessários. Conclusões: ambas as estratégias aplicadas nesta população foram altamente sensíveis para identificar infecção bacteriana com alto VPN. A aplicação do "Passo a Passo" apresenta como benefício adicional evitar a punção lombar em recém-nascidos entre 21 e 28 dias.

Revisión sistemática de la exactitud diagnóstica de la gota gruesa en comparación con la reacción en cadena de la polimerasa para malaria asociada al embarazo, 2010-2022 / Systematic review of the diagnostic accuracy of thick smear compared to polymerase chain reaction for pregnancy-associated malaria, 2010-2022

RESUMEN Objetivos. Evaluar la exactitud de gota gruesa (GG) frente a la reacción en cadena de la polimerasa (PCR) cuantitativa para la malaria asociada al embarazo (MAE). Materiales y métodos. Se realizó una revisión sistemática de pruebas diagnósticas en nueve bases de datos. Se evaluó la calidad metodológica con QUADAS. Se estimó sensibilidad, especificidad, cociente de probabilidad positivo (CPP) y negativo (CPN), razón de odds diagnóstica (ORD) y área bajo la curva ROC. Se determinó la heterogeneidad con el estadístico Q de Der Simonian-Laird y la incertidumbre con el porcentaje de peso de cada estudio sobre el resultado global. Resultados. Se incluyeron diez estudios con 5691 gestantes, 1415 placentas y 84 neonatos. En los estudios con nPCR (PCR anidada) y qPCR (PCR cuantitativa) como estándar, los resultados de exactitud diagnóstica fueron estadísticamente similares, con sensibilidad muy baja (50 y 54%, respectivamente), alta especificidad (99% en ambos casos), alto CPP y deficiente CPN. Usando nPCR la OR diagnóstica fue 162 (IC95%=66-401) y el área bajo la curva ROC fue 95%, mientras que con qPCR fueron 231 (IC95%=27-1951) y 78%, respectivamente. Conclusiones. Mediante un protocolo exhaustivo se demostró el bajo desarrollo de investigaciones sobre la exactitud diagnóstica de la GG en MAE. Se demostró que la microscopía tiene un desempeño deficiente para el diagnóstico de infecciones asintomáticas o de baja parasitemia, lo que afianza la importancia de implementar otro tipo de técnicas en el seguimiento y control de las infecciones por malaria en las gestantes, con el fin de lograr el control y posible eliminación de la MAE.

ABSTRACT Objective. To evaluate the accuracy of thick smear (TS) versus quantitative polymerase chain reaction (PCR) for pregnancy-associated malaria (PAM). Materials and methods. We carried out a systematic review of diagnostic tests in nine databases. Methodological quality was evaluated with QUADAS. Sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and area under the ROC curve were estimated. Heterogeneity was determined with the Der Simonian-Laird Q method and uncertainty with the weighted percentage of each study on the overall result. Results. We included 10 studies with 5691 pregnant women, 1415 placentas and 84 neonates. In the studies with nested PCR (nPCR) and quantitative PCR (qPCR) as the standard, the diagnostic accuracy results were statistically similar, with very low sensitivity (50 and 54%, respectively), high specificity (99% in both cases), high PLR and poor NLR. When nPCR was used, the DOR was 162 (95%CI=66-401) and the area under the ROC curve was 95%, while with qPCR it was 231 (95%CI=27-1951) and 78%, respectively. Conclusions. We demonstrated that research on the diagnostic accuracy of TS in PAM is limited. Microscopy showed poor performance in the diagnosis of asymptomatic or low parasitemia infections, which reinforces the importance of implementing other types of techniques for the follow-up and control of malaria infections in pregnant women, in order to achieve the control and possible elimination of PAM.

Unbearable transepidermal water loss (TEWL) experimental variability: why?

Despite the wide breadth of research, much disparity exists in transepidermal water loss (TEWL) research data-possibly due to uncontrolled experimental variables. We determined whether such experimental variables significantly impact TEWL studies and cause this disparity. An initial literature search regarding TEWL was performed to determine potential confounding variables. A subsequent search procured relevant and representative studies investigating the impact of these variables on TEWL. Variables, such as age, anatomic site, and temperature, impact TEWL and should be controlled for in TEWL studies. Other variables, such as smoking and menstrual cycle, have inconclusive results or do not provide sufficient data breadth to make a conclusion regarding its effect, if such an effect exists, on TEWL metrics. Therefore, these variables require further research to determine their potential impact on TEWL. Matching for as many experimental variables as possible may reduce the disparity in TEWL data/conclusions.

Development of a Molecular Assay for Detection and Quantification of the BRAF Variation in Residual Tissue From Thyroid Nodule Fine-Needle Aspiration Biopsy Specimens.

Importance: Thyroid cancer, predominantly papillary thyroid carcinoma (PTC), is common, but an estimated 30% of ultrasonography-guided fine-needle aspiration (FNA) biopsies of thyroid nodules are indeterminate. BRAF variation, associated with poor clinicopathological characteristics, is a useful molecular marker for diagnostics. Objective: To develop a sensitive molecular assay for BRAF V600E detection in remaining tissue of thyroid FNA biopsies to identify patients with cancer carrying a BRAF variation. Design, Setting, and Participants: This diagnostic study used tumor tissue from surgical formalin-fixed, paraffin-embedded (FFPE) specimens and residual tissue from thyroid FNA biopsies for genomic DNA extraction. FFPE specimens served as the validation set, and residual tissue from FNA biopsies served as the test set. A molecular assay was developed for accurate detection of BRAF V600E variation using locked nucleic acid (LNA) probe-based droplet digital polymerase chain reaction (dPCR), and the assay was validated by BRAF V600E immunohistochemical staining (IHC). The study was conducted between February 2019 and May 2021. Results: A total of 271 specimens, including 77 FFPE specimens (with a follow-up of 48 matched surgical specimens) and 146 residual FNA samples, were collected from 223 patients (mean [SD] age, 53.8 [15.3] years; 174 [78.0%] women; 49 [22.0%] men). The molecular assay by dPCR was first established to specifically and accurately detect and quantify wild-type BRAF and variant BRAF in DNA from human follicular thyroid carcinoma-derived FTC-133 and papillary thyroid carcinoma-derived BCPAP cells. The linearity of quantification of BRAF V600E was calculated (y = 0.7339x; R2 = 0.9996) with sensitivity at 0.02 copies/µL and reproducibility in detecting variant DNA at various dilutions(coefficient of variance in 0.3% DNA, 9.63%; coefficient of variance in 1.0% DNA, 7.41%). In validation testing, the dPCR assay and IHC staining exhibited 100% specificity in concordantly identifying BRAF V600E in PTCs (κ = 0.873; P < .001) and sensitivity of 32.0% (95% CI, 19.1% to 44.9%) in dPCR and 26.0% (95% CI, 13.1% to 38.9%) in IHC staining, with an improvement by 23.08% in dPCR compared with the IHC staining. The dPCR assay further detected BRAF V600E in 39 of 146 residual FNA specimens (26.7%). At short-term follow-up, 48 patients, including 14 of 39 patients with BRAF variation and 34 of 107 patients without BRAF variation on residual FNA specimens, underwent resection. The dPCR assay of BRAF status in the matched surgical specimens showed BRAF V600E variations in 12 patients and wild-type BRAF in 36 patients, with a high agreement to that in residual tissue of FNA specimens (κ = 0.789; P < .001). Among 14 patients with BRAF variations on residual FNA, 13 were diagnosed with PTC and 1 was diagnosed with anaplastic thyroid cancer at the thyroidectomy. Conclusions and Relevance: This diagnostic study developed a sensitive molecular assay for detection and quantification of BRAF V600E variation in residual tissue from thyroid FNA biopsies to identify patients with cancer harboring BRAF V600E in a cost-effective manner, highlighting the clinical value of molecular assay of the remaining FNA tissue in the management of thyroid nodules.

Diagnostic accuracy of interleukin-33 for tuberculous pleural effusion: A systematic review and meta-analysis.

BACKGROUND: The detection of interleukin 33 (IL-33) in pleural effusion may be more sensitive in diagnosing tuberculous pleural effusion (TPE). The present study aimed to assess the accuracy of pleural IL-33 for the diagnosis of TPE by means of meta-analysis and systematic review of relevant studies. METHOD: After retrieving the published studies, the sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and a summary receiver operating characteristic curve were assessed to estimate the usefulness of pleural IL-33 in diagnosing TPE using meta-analysis with a random-effects model. We also performed meta-regression and subgroup analysis. RESULTS: A total of 639 patients from 6 studies were analyzed. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were 0.87 (95% confidence interval [CI], 0.82-0.91), 0.76 (95% CI, 0.72-0.80), 6.54 (95% CI, 2.65-16.15), 0.17 (95% CI, 0.10-1.27), and 45.40 (95% CI, 12.83-160.70) respectively. The area under the curve was 0.94. The composition of the included population was the main cause of heterogeneity and subgroup analysis showed that pleural IL-33 had a higher specificity (0.93, 95% CI 0.87-0.96) when used for differential diagnosis between TPE and malignant pleural effusion. CONCLUSION: The detection of IL-33 alone in pleural effusion seems to not be an efficient diagnostic marker for TPE but may serve as a novel biomarker to differentiate between TPE and malignant pleural effusion.

Diagnostic utility of multiple site duodenal biopsies in celiac disease.

BACKGROUND: Celiac Disease involves the small intestine patchily affecting more frequently the proximal small bowel but the histological changes have been observed till terminal ileum. Of late in addition to D2, the duodenal bulb (D1 region) biopsies have been found helpful in identifying a small group of patients with CD. Therefore, multiple site biopsies are recommended as histological changes are not uniform throughout small intestine. METHODS: During this present 1.5 years prospective study, we evaluated 84 cases of suspected celiac disease with respect to the light microscopy (D1, D2, and D3 biopsy) and serology (anti tTg and or EMA). Histological examination was done according to Modified Marsh grading system. RESULTS: Out of 84 cases with raised anti tTg, the segmental biopsies significantly increased the diagnostic accuracy from 39/44 cases (88.6%) to 43/44 cases (97.7%) and 44/44 cases (100%) when D2 alone, D1 + D2 and D1 + D2 + D3 biopsies were evaluated, respectively. Of the suspected cases of celiac disease patients (tTg > 10 ULN and associated weight loss, diarrhea), additional D3 biopsy increased the diagnostic yield by 2.1%, compared to D1, D2 region biopsy and 6.38% compared to standard D2 biopsy alone. Of the 28 cases (tTg > 10 times ULN + EMA positive and associated weight loss, diarrhea), the potential celiac disease (histologically Type 1/Normal) cases reduced from 28.5% (standard D2 region alone) to 21.4% and 17.8% when additional biopsies were taken from D1 region and D3 region, respectively, and additional D3 biopsy increased the diagnostic yield by 10.8% (compared to standard D2 biopsy alone) and 3.7% (compared to D1 and D2 biopsy). CONCLUSION: We believe multiple sites duodenal biopsies including D3 region biopsies might increase the diagnostic accuracy of adult celiac disease in addition to sensitive and specific serologic tests.

Positive Predictive Value of Myelin Oligodendrocyte Glycoprotein Autoantibody Testing.

Importance: Myelin oligodendrocyte glycoprotein-IgG1-associated disorder (MOGAD) is a distinct central nervous system-demyelinating disease. Positive results on MOG-IgG1 testing by live cell-based assays can confirm a MOGAD diagnosis, but false-positive results may occur. Objective: To determine the positive predictive value (PPV) of MOG-IgG1 testing in a tertiary referral center. Design, Setting, and Participants: This diagnostic study was conducted over 2 years, from January 1, 2018, through December 31, 2019. Patients in the Mayo Clinic who were consecutively tested for MOG-IgG1 by live cell-based flow cytometry during their diagnostic workup were included. Patients without research authorization were excluded. Main Outcomes and Measures: Medical records of patients who were tested were initially reviewed by 2 investigators blinded to MOG-IgG1 serostatus, and pretest probability was classified as high or low (suggestive of MOGAD or not). Testing of MOG-IgG1 used a live-cell fluorescence-activated cell-sorting assay; an IgG binding index value of 2.5 or more with an end titer of 1:20 or more was considered positive. Cases positive for MOG-IgG1 were independently designated by 2 neurologists as true-positive or false-positive results at last follow-up, based on current international recommendations on diagnosis or identification of alternative diagnoses; consensus was reached for cases in which disagreement existed. Results: A total of 1617 patients were tested, and 357 were excluded. Among 1260 included patients tested over 2 years, the median (range) age at testing was 46 (0-98) years, and 792 patients were female (62.9%). A total of 92 of 1260 (7.3%) were positive for MOG-IgG1. Twenty-six results (28%) were designated as false positive by the 2 raters, with an overall agreement on 91 of 92 cases (99%) for true and false positivity. Alternative diagnoses included multiple sclerosis (n = 11), infarction (n = 3), B12 deficiency (n = 2), neoplasia (n = 2), genetically confirmed adrenomyeloneuropathy (n = 1), and other conditions (n = 7). The overall PPV (number of true-positive results/total positive results) was 72% (95% CI, 62%-80%) and titer dependent (PPVs: 1:1000, 100%; 1:100, 82%; 1:20-40, 51%). The median titer was higher with true-positive results (1:100 [range, 1:20-1:10000]) than false-positive results (1:40 [range, 1:20-1:100]; P < .001). The PPV was higher for children (94% [95% CI, 72%-99%]) vs adults (67% [95% CI, 56%-77%]) and patients with high pretest probability (85% [95% CI, 76%-92%]) vs low pretest probability (12% [95% CI, 3%-34%]). The specificity of MOG-IgG1 testing was 97.8%. Conclusions and Relevance: This study confirms MOG-IgG1 as a highly specific biomarker for MOGAD, but when using a cutoff of 1:20, it has a low PPV of 72%. Caution is advised in the interpretation of low titers among patients with atypical phenotypes, because ordering MOG-IgG1 in low pretest probability situations will increase the proportion of false-positive results.

Valoración de la colangiopancreatografía retrógrada endoscópica como medio diagnóstico/terapéutico en pacientes con íctero obstructivo / Assessment of the endoscopic retrograde cholangiopancreatography as a diagnostic/therapeutic mean in patients with obstructive jaundice

RESUMEN Introducción: las enfermedades del eje pancreático/biliar son una consecuencia en la morbimortalidad del aparato digestivo, y es la causa en ocasiones de una obstrucción biliar. La colangiopancreatografía retrógrada endoscópica es un método preciso para el diagnóstico de la obstrucción biliar, y se asocia con una elevada tasa de sensibilidad y especificidad. Materiales y métodos: se realizó un estudio observacional descriptivo de corte transversal, con el objetivo de valorar el comportamiento de la colangiopancreatografía retrógrada endoscópica como medio diagnóstico y terapéutico en una muestra de 90 pacientes con dictamen presuntivo de íctero obstructivo. Resultados: predominaron las féminas en el grupo de edad superior a los 50 años. La coluria, la acolia y el íctero como representativos de una enfermedad obstructiva de las vías biliares, fueron las manifestaciones más frecuentes, corroboradas por el estudio endoscópico, donde la litiasis coledociana fue la principal causa de íctero. Conclusión: la esfinterotomía endoscópica fue el proceder terapéutico de elección, y la pancreatitis aguda postintervención fue la complicación más frecuente (AU).

ABSTRACT Introduction: the diseases of the pancreatic-biliary axis are a consequence in the digestive tract morbidity-mortality, and sometimes they are the cause of a biliary obstruction. The endoscopic retrograde cholangiopancreatography is a precise method for diagnosing the biliary obstruction, and is associated to high rates of sensitivity and specificity. Materials and methods: a cross-sectional, descriptive, observational study was carried out with the aim of assessing the behavior of endoscopic retrograde cholangiopancreatography as a therapeutic and diagnostic mean in a sample of 90 patients with presumptive report of obstructive jaundice. Results: women aged more than 50 years predominated. Choluria, acholia and jaundice, as representative of the biliary ducts obstructive disease, were the most frequent manifestations, corroborated by the endoscopic study, where choledocal lithiasis was the main cause of jaundice. Conclusions: endoscopic sphincterotomy was the elective therapeutic procedure, and post-intervention acute pancreatitis was the most frequent complication (AU).

How SARS-CoV-2 and Comparable Pathogens Can Be Defeated in a Single Day: Description and Mathematical Model of the Carrier Separation Plan (CSP).

A simple, common-sense, three-component procedure-the Carrier Separation Plan (CSP)-can immediately halt the transmission of SARS-CoV-2 or a comparable pathogen, allow the safe reopening of an entire economy without the need for social distancing, and quickly eradicate the pathogen from the population (assuming the pathogen can be killed by the immune systems of the carriers). The three components are (a) nearly simultaneous self-testing for the pathogen by an entire population, followed rapidly by (b) nearly simultaneous self-isolation of carriers, and (c) secondary screening at entrances to facilities where people congregate. After a period of preparation lasting roughly 5-10 weeks, these steps could and probably should be taken in a single day. The power of this methodology has already been demonstrated in varying degrees with groups ranging in size from 1,000 to 11 million. Although this plan might seem daunting, its costs are minimal compared to the losses we have incurred by relying on half measures, and the US and other countries have the technological, logistical, and industrial capacities to implement this plan in a matter of weeks. With proper messaging during the weeks leading up to the testing, compliance in such a program is likely to be high given the potential benefits, and because participation is voluntary and testing is noninvasive, the legal and ethical issues associated with such a program are minimal - trivial, in fact, compared to those associated with imposing a months-long lockdown on an entire population. A SIRD/CSP model suggests that the single-day testing and separation procedure will substantially lower the number of infections, even if compliance with the procedure is modest. Modeling also suggests that when long-term secondary screening is added to the 1-day procedure, over time, the pathogen is eradicated from the population. This can occur even when compliance with secondary screening is itself relatively low.

Validity of the Modified Dyspnea Index for the French-Canadian Population.

BACKGROUND AND PURPOSE: Multidimensional tools could evaluate the dyspnea of patients with chronic lung disease. The aim was to validate the use of the French-Canadian version of the modified dyspnea index (MDI) among patients with pulmonary arterial hypertension (PAH) and interstitial lung disease (ILD). METHODS: The Spearman test analyzed the convergent validation of the MDI with pulmonary function tests (PFTs), New York Heart Association (NYHA) functional classification, the Modified Borg Scale, the Veterans Specific Activity Questionnaire (VSAQ), physical capacity, physical activity (Godin-Shephard Leisure-Time Physical Activity Questionnaire [GSLTPAQ]), and quality of life (SF-12). RESULTS: The MDI had a low correlation with PFT and physical activity; a moderate with physical capacity; a high with the physical dimension (SF-12). CONCLUSION: The results support the convergent validation of the MDI French-Canadian version with PAH or ILD.

MuLBSTA score is a useful tool for predicting COVID-19 disease behavior.

BACKGROUND: The prediction of COVID-19 disease behavior in the early phase of infection is challenging but urgently needed. MuLBSTA score is a scoring system that predicts the mortality of viral pneumonia induced by a variety of viruses, including coronavirus, but the scoring system has not been verified in novel coronavirus pneumonia. The aim of this study was to validate this scoring system for estimating the risk of disease worsening in patients with COVID-19. METHODS: This study included the patients who were treated between April 1 st and March 13 th , 2020. The patients were classified into mild, moderate, and severe groups according to the extent of respiratory failure. MuLBSTA score was applied to estimate the risk of disease worsening in each severity group and we validated the utility of the scoring system. RESULTS: A total of 72 patients were analyzed. Among the 46 patients with mild disease, 17 showed disease progression to moderate or severe disease after admission. The model showed a sensitivity of 100% and a specificity of only 34.5% with a cut-off value of 5 points. Among the 55 patients with mild or moderate disease, 6 deteriorated to severe disease, and the model showed a sensitivity of 83.3% and a specificity of 71.4% with a cut-off value of 11 points. CONCLUSIONS: This study showed that MuLBSTA score is a potentially useful tool for predicting COVID-19 disease behavior. This scoring system may be used as one of the criteria to identify high-risk patients worsening to life-threatening status.

Cultivo mediante hisopado superficial versus cultivo de la biopsia de tejidos profundos en la infección del pie diabético / Culture through superficial swab versus deep tissue biopsy in the diabetic foot infection

RESUMEN Introducción: para lograr el adecuado y precoz diagnóstico de la infección en pie diabético, es necesario la obtención de una muestra bacteriológica de calidad para la identificación del germen causal. Objetivo: identificar posibles relaciones entre los resultados obtenidos, en el cultivo realizado mediante hisopado superficial versus el obtenido mediante biopsia de los tejidos profundos en la infección del pie diabético. Materiales y métodos: se realizó un estudio explicativo observacional, longitudinal, prospectivo en el Servicio Provincial de Angiología y Cirugía Vascular del Hospital Provincial Clínico Quirúrgico Universitario "Comandante Faustino Pérez", durante un periodo de 3 años desde enero del 2016 hasta diciembre del 2018. Una selección muestral no probabilística determinó una muestra constituida por 138 extremidades en 132 pacientes con diagnóstico clínico de pie diabético infectado, que requirieron cirugía para desbridamiento de la lesión. Aceptaron ser incluidos en la investigación y para el aislamiento del germen causal fueron empleados ambos métodos de cultivo: hisopado superficial y biopsia de los tejidos profundos. Resultados: el promedio de microorganismos aislados se incrementó en relación con la severidad de la infección del pie diabético, con mayor incremento en el aislamiento hecho por el hisopado superficial. El hisopado superficial posee pobre correlación con los gérmenes aislados mediante el cultivo de la biopsia de los tejidos profundos. Conclusiones: las muestras deben ser obtenidas preferentemente por curetaje. En el diagnóstico de la infección del pie diabético es de gran utilidad, por su rapidez y concordancia con los resultados del cultivo, efectuar siempre una tinción de Gram a partir del mismo sitio (AU).

ABSTRACT Introduction: to arrive to an adequate and precocious diagnosis of the diabetic foot infection, it is necessary to obtain a qualitative bacteriological sample to identify the causing germ. Objective: to identify possible relationships between the results obtained both, in the culture made through superficial swab and the culture obtained from deep tissues biopsy in the diabetic foot infection. Materials and methods: a prospective, longitudinal, observational, explicative study was carried out in the Provincial Service of Angiology and Vascular Surgery of Provincial University Clinical Surgical Hospital "Comandante Faustino Pérez", in a period of three years, from January 2016 to December 2018. A non-probabilistic sampling choose a sample of 138 lower limbs in 132 patients with clinical diagnosis of infected diabetic foot, who required surgery for lesion debridement. They gave their consent to be included in the research; for the isolation of the casual germ were used both culture methods, superficial swab and deep tissues biopsy. Results: the average of isolated microorganism increased in relation to the severity of the diabetic food infection, with higher increase in the isolation obtained by superficial swab. The superficial swab shows poor correlation with the germ isolates by the culture the deep tissue biopsy. Conclusions: the samples should be gathered preferably by curettage. In the diagnosis of the diabetic foot infection, it is very useful, due to its speed and concordance with the culture results, to make always a Gram staining beginning from the same place (AU).

[Acquired angioedema due to C1-inhibitor deficiency: CREAK recommendations for diagnosis and treatment]. / Angiœdèmes par déficit acquis en C1-inhibiteur : recommandations du CREAK pour le diagnostic et la prise en charge.

Acquired angioedema with C1-inhibitor deficiency is a rare and peculiar entity belonging to the spectrum of bradykinin angioedemas. It usually occurs in subjects over 60 years old, and is mostly associated with a B-cell lymphoid hemopathy or a monoclonal gammopathy. The diagnosis relies on at least one angioedema episode, lasting more than 24 h, and on the decrease of functional C1-inhibitor. Low C1q is observed in 90% of patients, and an anti C1-inhibitor antibody is found in 50% of patients. The treatment of severe attacks relies on icatibant or C1-inhibitor perfusions. Long term prophylaxis in patients with frequent attacks requires treatment of the associated hemopathy if so. In case of idiopathic angioedema, tranexamic acid and danazol may be used, provided that there is-no thrombophilia; as well as rituximab as second-line treatment. Inhibitors of kallikrein still need to be evaluated in this therapeutic indication.

[IgG4-related disease: Diagnostic criteria evolution toward the 2019 ACR/EULAR classification criteria]. / Maladie associée aux IgG4 : des critères « diagnostiques ¼ aux critères de classification ACR/EULAR 2019.

The concept of IgG4-related disease (IgG4-RD) has recently been individualized in the early 2000s, but most of the organ involvements are known since more than 100 years. IgG4-RD is a non-malignant fibroinflammatory disorder, characterized by peculiar immunological and pathological abnormalities, which can affect virtually all organs or tissues. Diagnostic criteria have been proposed and have evolved rapidly, with general or organ specific criteria. An international and multidisciplinary group assembled by the American College of Rheumatology (ACR) and the European League Against Rheumatism (EULAR) has recently developed and validated a set of classification criteria called 2019 ACR/EULAR classification criteria for IgG4-related disease. The objective of this review is to discuss the evolution from organ specific and general diagnostic criteria toward the 2019 ACR/EULAR classification criteria, as well as respective benefits and limits of these criteria. The use of the 2019 ACR/EULAR classification criteria will help to better define homogeneous group of IgG4-RD patients in future clinical, epidemiological and basic science research studies on the disease.

Improving diagnostic specimen management systems in an oral medicine department.

Histological, haematological and microbiological investigations are essential in the field of oral medicine and are a crucial adjunct to clinical findings, often being relied on to obtain a definitive diagnosis. Importantly, in some cases, these investigations can help exclude or confirm the presence of malignancy. This project highlighted some problems regarding labelling and recording of specimens in an oral medicine department and a lack of clear specimen management processes. It aimed to improve specimen management by reducing reported incidents surrounding diagnostic tests. Quality improvement methods such as process mapping were key to understanding the journey of specimens and the departments involved at each stage of the system. Initiatives included a recording log book, staff training, information signage around the clinic and delegation of responsibilities, all of which were implemented over multiple plan, do, study, act (PDSA) cycles. The project was extremely successful and since implementation there has been a clear and sustained reduction in reported incidents. The small number of incidents which did occur all involved transportation of specimens and none involved labelling or recording. One can conclude that the change in test management systems in terms of recording and labelling of specimens in the department has been sustained. Ongoing engagement with stakeholders and senior leaders is the priority to ensure further reduction in incidents in the future and that the improvements are maintained. This project demonstrates how simple, realistic, cost-effective, quality improvement initiatives can have a significant positive impact on patient care and hospital management systems.

An Improved Self-Labeled Algorithm for Cancer Prediction.

Nowadays, cancer constitutes the second leading cause of death globally. The application of an efficient classification model is considered essential in modern diagnostic medicine in order to assist experts and physicians to make more accurate and early predictions and reduce the rate of mortality. Machine learning techniques are being broadly utilized for the development of intelligent computational systems, exploiting the recent advances in digital technologies and the significant storage capabilities of electronic media. Ensemble learning algorithms and semi-supervised algorithms have been independently developed to build efficient and robust classification models from different perspectives. The former attempts to achieve strong generalization by using multiple learners, while the latter attempts to achieve strong generalization by exploiting unlabeled data. In this work, we propose an improved semi-supervised self-labeled algorithm for cancer prediction, based on ensemble methodologies. Our preliminary numerical experiments illustrate the efficacy and efficiency of the proposed algorithm, proving that reliable and robust prediction models could be developed by the adaptation of ensemble techniques in the semi-supervised learning framework.

Hemophagocytic lymphohistiocytosis in critically ill patients: diagnostic reliability of HLH-2004 criteria and HScore.

BACKGROUND: Hemophagocytic lymphohistiocytosis (HLH) is a rare though often fatal hyperinflammatory syndrome mimicking sepsis in the critically ill. Diagnosis relies on the HLH-2004 criteria and HScore, both of which have been developed in pediatric or adult non-critically ill patients, respectively. Therefore, we aimed to determine the sensitivity and specificity of HLH-2004 criteria and HScore in a cohort of adult critically ill patients. METHODS: In this further analysis of a retrospective observational study, patients ≥ 18 years admitted to at least one adult ICU at Charité - Universitätsmedizin Berlin between January 2006 and August 2018 with hyperferritinemia of ≥ 500 µg/L were included. Patients' charts were reviewed for clinically diagnosed or suspected HLH. Receiver operating characteristics (ROC) analysis was performed to determine prediction accuracy. RESULTS: In total, 2623 patients with hyperferritinemia were included, of whom 40 patients had HLH. We found the best prediction accuracy of HLH diagnosis for a cutoff of 4 fulfilled HLH-2004 criteria (95.0% sensitivity and 93.6% specificity) and HScore cutoff of 168 (100% sensitivity and 94.1% specificity). By adjusting HLH-2004 criteria cutoffs of both hyperferritinemia to 3000 µg/L and fever to 38.2 °C, sensitivity and specificity increased to 97.5% and 96.1%, respectively. Both a higher number of fulfilled HLH-2004 criteria [OR 1.513 (95% CI 1.372-1.667); p <  0.001] and a higher HScore [OR 1.011 (95% CI 1.009-1.013); p <  0.001] were significantly associated with in-hospital mortality. CONCLUSIONS: An HScore cutoff of 168 revealed a sensitivity of 100% and a specificity of 94.1%, thereby providing slightly superior diagnostic accuracy compared to HLH-2004 criteria. Both HLH-2004 criteria and HScore proved to be of good diagnostic accuracy and consequently might be used for HLH diagnosis in critically ill patients. CLINICAL TRIAL REGISTRATION: The study was registered with www.ClinicalTrials.gov (NCT02854943) on August 1, 2016.

Disease prediction via Bayesian hyperparameter optimization and ensemble learning.

OBJECTIVE: Early disease screening and diagnosis are important for improving patient survival. Thus, identifying early predictive features of disease is necessary. This paper presents a comprehensive comparative analysis of different Machine Learning (ML) systems and reports the standard deviation of the results obtained through sampling with replacement. The research emphasises on: (a) to analyze and compare ML strategies used to predict Breast Cancer (BC) and Cardiovascular Disease (CVD) and (b) to use feature importance ranking to identify early high-risk features. RESULTS: The Bayesian hyperparameter optimization method was more stable than the grid search and random search methods. In a BC diagnosis dataset, the Extreme Gradient Boosting (XGBoost) model had an accuracy of 94.74% and a sensitivity of 93.69%. The mean value of the cell nucleus in the Fine Needle Puncture (FNA) digital image of breast lump was identified as the most important predictive feature for BC. In a CVD dataset, the XGBoost model had an accuracy of 73.50% and a sensitivity of 69.54%. Systolic blood pressure was identified as the most important feature for CVD prediction.

Computational methods for recognition of cancer protein markers in saliva.

In recent years, many studies have supported that cancer tissues can make disease-specific changes in some salivary proteins through some mediators in the pathogenesis of systemic diseases. These salivary proteins have the potential to become cancer-specific biomarkers in the early diagnosis stage. How to effectively identify these potential markers is one of the challenging issues. In this paper, we propose novel machine learning methods for recognition cancer biomarkers in saliva by two stages. In the first stage, salivary secreted proteins are recognized which are considered as candidate biomarkers of cancers. We picked up 557 salivary secretory proteins from 20379 human proteins by public databases and published literatures. Then, we present a training set construction strategy to solve the imbalance problem in order to make the classification methods get better accuracy. From all human protein set, the proteins belonging to the same families as salivary secretory proteins are removed. After that, we use SVC-KM method to cluster the remaining proteins, and select negative samples from each cluster in proportion. Next, the features of proteins are calculated by tools. We collect 24 protein properties such as sequence, structure and physicochemical properties, a total of 1087 features. An innovative procedure based on the local samples is proposed for selecting the appropriate features, in order to further improve the performance of SVM classifier. Experimental results show that the average sensitivity, specificity and accuracy of salivary secretory protein recognition using selected 32 features in training set are 97.09%, 98.10%, 97.61%, respectively. The use of these methods can improve the accuracy of recognition by solving the problems of unbalanced sample size and uneven distribution in training set. In the second stage, we apply the best model to dig out the salivary secreted proteins from 58 reported cancer markers, and get a total of 42 proteins which are considered to be used for salivary diagnosis. We analyze the gene expression data of three types of cancer, and predict that 33 genes will appear in saliva after they are translated into proteins. This study provides an important computational tool to help biologists and researchers reduce the number of candidate proteins and the cost of research. So as to further accelerate the discovery of cancer biomarkers in saliva and promote the development of saliva diagnosis.