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IMPORTANCE: Large-scale estimates of bronchopulmonary dysplasia (BPD) are warranted for adequate prevention and treatment. However, systematic approaches to ascertain rates of BPD are lacking. OBJECTIVE: To conduct a systematic review and meta-analysis to assess the prevalence of BPD in very low birth weight (≤ 1,500 g) or very low gestational age (< 32 weeks) neonates. DATA SOURCES: A search of MEDLINE from January 1990 until September 2019 using search terms related to BPD and prevalence was performed. STUDY SELECTION: Randomized controlled trials and observational studies evaluating rates of BPD in very low birth weight or very low gestational age infants were eligible. Included studies defined BPD as positive pressure ventilation or oxygen requirement at 28 days (BPD28) or at 36 weeks postmenstrual age (BPD36). DATA EXTRACTION AND SYNTHESIS: Two reviewers independently conducted all stages of the review. Random-effects meta-analysis was used to calculate the pooled prevalence. Subgroup analyses included gestational age group, birth weight group, setting, study period, continent, and gross domestic product. Sensitivity analyses were performed to reduce study heterogeneity. MAIN OUTCOMES AND MEASURES: Prevalence of BPD defined as BPD28, BPD36, and by subgroups. RESULTS: A total of 105 articles or databases and 780,936 patients were included in this review. The pooled prevalence was 35% (95% CI, 28-42%) for BPD28 (n = 26 datasets, 132,247 neonates), and 21% (95% CI, 19-24%) for BPD36 (n = 70 studies, 672,769 neonates). In subgroup meta-analyses, birth weight category, gestational age category, and continent were strong drivers of the pooled prevalence of BPD. CONCLUSIONS AND RELEVANCE: This study provides a global estimation of BPD prevalence in very low birth weight/low gestation neonates.
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Displasia Broncopulmonar , Recém-Nascido de muito Baixo Peso , Humanos , Displasia Broncopulmonar/epidemiologia , Displasia Broncopulmonar/diagnóstico , Recém-Nascido , Prevalência , Ensaios Clínicos Controlados Aleatórios como Assunto/métodos , Estudos Observacionais como Assunto/métodosRESUMO
OBJECTIVE: Racism leads to disparities in health outcomes. Our objective was to determine if black race was independently associated with differences in fat accretion at discharge in a large cohort of very preterm infants (32 weeks of gestation or less). METHODS: De-identified demographic, anthropometric and body composition data were collected from seven neonatal units around the United States. Weight, length, and head circumference z-scores at birth and at the time of body composition assessment or hospital discharge were calculated. RESULTS: The median gestational age and birthweight for this cohort (n = 888) were 29 weeks [IQR, 27-30] and 1167 g [SD, 354], respectively. The study population included 53% black preterm infants. Birthweight was lower in black preterm infants compared with white infants (1112 ± 334 g vs. 1228 ± 366 g; p < 0.0001). After adjusting for birthweight, gestational age, and birthweight-for-age z-score, black preterm infants had more weight gain (adjusted mean difference: 0.5 g/kg/day; p = 0.03) but not higher BF% z-scores at hospital discharge (adjusted mean: 1.2 vs. 1.3; p = 0.14) than white infants. CONCLUSIONS: After adjusting for covariates, black race was associated with higher weight gain velocity but not higher BF% z-scores. IMPACT: This study presents findings from a large-scale multicenter cohort. Racial differences were observed in birth weight and the rate of weight gain; however, these differences were not associated with dissimilarities in body composition outcomes. Understanding nutrition and growth outcomes across racial groups is necessary to combat racial disparities in the neonatal intensive care unit (NICU).
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OBJECTIVE: Salivary gland cancers (SGC) are rare neoplasms which comprise 1-5 % of all head and neck cancers. SGCs can be managed by resection, radiosurgery, chemotherapy, or a combination of these. Our team appraised the quality of clinical practice guidelines (CPGs) for SGC treatment and management using the Appraisal of Guidelines for Research and Evaluation (AGREE-II) instrument. DATA SOURCES: PubMed, Scopus, & EMBASE were reviewed for CPGs regarding SGC management from database inception to January 1st, 2023. REVIEW METHODS: The AGREE-II instrument was used by 4 reviewers to independently evaluate guidelines. Domain scores were generated with a satisfactory threshold being >60 % - a "high" quality CPG required >4 satisfactory domains. Intraclass correlation coefficients (ICCs) were used, via R 4.2.1., to determine inter-reviewer variability. RESULTS: Literature review identified 645 articles, with six being included after applying inclusion and exclusion criteria. Of the six included articles, one CPG was "high" quality and 5 were "low" quality. The domains with the highest scores were "Editorial Independence" (72.57 ± 36.60) and "Clarity and Presentation" (63.19 ± 26.08), while the lowest were "Rigor of Development" (34.03 ± 30.63) and "Applicability" (30.21 ± 30.46). ICC scores for each domain ranged from 0.937 to 0.983, indicating a high level of inter-rater agreement. CONCLUSION: This study found that most CPGs for the treatment and management of SGC were of "low" quality, with only one guideline being considered "high" quality based on the standard set by the AGREE-II instrument. These findings indicate that there is a high level of variability and little standardization when it comes to the quality of CPGs.
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Guias de Prática Clínica como Assunto , Neoplasias das Glândulas Salivares , Humanos , Neoplasias das Glândulas Salivares/terapiaRESUMO
PURPOSE: This study aimed to develop machine learning algorithms for identifying predictive factors associated with the risk of postoperative surgical site infection in patients with lower extremity fractures. METHODS: A machine learning analysis was conducted on a dataset comprising 1,579 patients who underwent surgical fixation for lower extremity fractures to create a predictive model for risk stratification of postoperative surgical site infection. We evaluated different clinical and demographic variables to train four machine learning models (neural networks, boosted generalised linear model, naïve bayes, and penalised discriminant analysis). Performance was measured by the area under the curve score, Youdon's index and Brier score. A multivariate adaptive regression splines (MARS) was used to optimise predictor selection. RESULTS: The final model consisted of five predictors. (1) Operating room time, (2) ankle region, (3) open injury, (4) body mass index, and (5) age. The best-performing machine learning algorithm demonstrated a promising predictive performance, with an area under the ROC curve, Youdon's index, and Brier score of 77.8%, 62.5%, and 5.1%-5.6%, respectively. CONCLUSION: The proposed predictive model not only assists surgeons in determining high-risk factors for surgical site infections but also empowers patients to closely monitor these factors and take proactive measures to prevent complications. Furthermore, by considering the identified predictors, this model can serve as a reference for implementing preventive measures and reducing postoperative complications, ultimately enhancing patient outcomes. However, further investigations involving larger datasets and external validations are required to confirm the reliability and applicability of our model.
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Aprendizado de Máquina , Infecção da Ferida Cirúrgica , Humanos , Infecção da Ferida Cirúrgica/epidemiologia , Infecção da Ferida Cirúrgica/etiologia , Infecção da Ferida Cirúrgica/prevenção & controle , Infecção da Ferida Cirúrgica/diagnóstico , Masculino , Feminino , Pessoa de Meia-Idade , Adulto , Idoso , Fraturas Ósseas/cirurgia , Fatores de Risco , Extremidade Inferior/cirurgia , Extremidade Inferior/lesões , Medição de Risco/métodos , Estudos Retrospectivos , Adulto Jovem , AlgoritmosRESUMO
OBJECTIVES: To develop a prediction model of mortality in pediatric trauma-based injuries. Our secondary objective was to transform this model into a translational tool for clinical use. STUDY DESIGN: A retrospective cohort study of children ≤ 18 years was derived from the National Trauma Data Bank between the years of 2007 to 2015. The goal was to identify clinical or physiologic variables that would serve as predictors for pediatric death. Data was split into a development cohort (80%) to build the model and then tested in an internal validation cohort (20%) and a temporal cohort. The area under the receiver operating characteristic curve (AUC) was assessed for the new model. RESULTS: In 693,192 children, the mortality rate was 1.4% (n = 9,785). Most subjects were male (67%), White (65%), and incurred an unintentional injury (92%). The proposed model had an AUC of 96.4% (95% CI: 95.9%-96.9%). In contrast, the Injury Severity Score yielded an AUC of 92.9% (95% CI: 92.2%-93.6%), while the Revised Trauma Score resulted in an AUC of 95.0% (95% CI: 94.4%-95.6%). CONCLUSION: The TRAGIC + Model (Temperature, Race, Age, GCS, Injury Type, Cardiac-systolic blood pressure + Mechanism of Injury and Sex) is a new pediatric mortality prediction model that leverages variables easily obtained upon trauma admission.
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Hospitalização , Ferimentos e Lesões , Humanos , Masculino , Criança , Feminino , Estudos Retrospectivos , Escala de Gravidade do Ferimento , Curva ROC , Pressão Sanguínea , Índices de Gravidade do TraumaRESUMO
Bronchopulmonary dysplasia (BPD), a chronic lung disease predominantly affecting premature infants, poses substantial clinical challenges. This review delves into the promise of biomedical informatics (BMI) in reshaping BPD research and care. We commence by highlighting the escalating prevalence and healthcare impact of BPD, emphasizing the necessity for innovative strategies to comprehend its intricate nature. To this end, we introduce BMI as a potent toolset adept at managing and analyzing extensive, diverse biomedical data. The challenges intrinsic to BPD research are addressed, underscoring the inadequacies of conventional approaches and the compelling need for data-driven solutions. We subsequently explore how BMI can revolutionize BPD research, encompassing genomics and personalized medicine to reveal potential biomarkers and individualized treatment strategies. Predictive analytics emerges as a pivotal facet of BMI, enabling early diagnosis and risk assessment for timely interventions. Moreover, we examine how mobile health technologies facilitate real-time monitoring and enhance patient engagement, ultimately refining BPD management. Ethical and legal considerations surrounding BMI implementation in BPD research are discussed, accentuating issues of privacy, data security, and informed consent. In summation, this review highlights BMI's transformative potential in advancing BPD research, addressing challenges, and opening avenues for personalized medicine and predictive analytics.
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INTRODUCTION: Vestibular schwannomas (VSs) are rare, benign intracranial tumours that have prompted clinical practice guideline (CPG) creation given their complex management. Our aim was to utilize the Appraisal of Guidelines for Research and Evaluation (AGREE II) instrument to assess if such CPGs on the management of VSs with radiosurgery and radiotherapy are of acceptable quality. METHODS: Relevant CPGs were identified following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocols. Experienced reviewers then extracted general CPG properties and rated their quality via the AGREE II instrument. Intraclass correlation coefficients (ICCs) were quantified to assess interrater reliability. RESULTS: Nine CPGs on the management of VSs with radiosurgery and radiotherapy were identified. All CPGs were created in the past six years and developed recommendations based on literature review and expert consensus. One guideline was deemed as high quality with seven others being moderate and one being low in quality. The clarity of the presentation domain had the highest mean scaled domain score of 96.0%. The domains of stakeholder involvement and applicability had the lowest means of 49.2% and 47.2%, respectively. ICCs were either good or excellent across all domains. CONCLUSION: Current CPGs on the management of VSs with radiosurgery and radiotherapy are of acceptable quality but would greatly benefit from improvements in applicability, stakeholder involvement, editorial independence and rigour of development. We recommend CPG authors reference the European Association of Neuro-Oncology (EANO) guideline as a developmental framework with the Congress of Neurological Surgeons/American Association of Neurological Surgeons (CNS/AANS) CPG being a valid alternative.
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Neuroma Acústico , Guias de Prática Clínica como Assunto , Radiocirurgia , Humanos , Radiocirurgia/normas , Radiocirurgia/métodos , Neuroma Acústico/radioterapia , Neuroma Acústico/cirurgiaRESUMO
Merkel cell carcinoma (MCC) is a rare type of skin cancer that requires a multidisciplinary approach with a variety of specialists for management and treatment. Clinical practice guidelines (CPGs) have recently been established to standardize management algorithms. The objective of this study was to appraise such CPGs via the Appraisal of Guidelines for Research and Evaluation (AGREE II) instrument. Eight CPGs were identified via systematic literature search following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria. Four appraisers trained in AGREE II protocols evaluated each CPG and deemed two CPGs as high quality, five as moderate quality, and one as low quality. Intraclass correlation coefficients (ICCs) were calculated to verify reviewer consistency as excellent, good, and moderate across four, one, and one domain, respectively. The majority of MCC CPGs are lacking in specifying stakeholder involvement, applicability, and rigor of development. The two high quality CPGs are from the Alberta Health Services (AHS) and the collaboration between the European Dermatology Forum, the European Association of Dermato-Oncology, and the European Organization of Research and Treatment of Cancer (EDF/EADO/EORTC). The EDF/EADO/EORTC CPG had the highest overall score with no significant deficiencies across any domain. An important limitation is that the AGREE II instrument is not designed to evaluate the validity of each CPG's recommendations; conclusions therefore can only be drawn about each CPG's developmental quality. Future MCC CPGs may benefit from garnering public perspectives, inviting external expert review, and considering available resources and implementation barriers during their developmental stages.
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Carcinoma de Célula de Merkel , Guias de Prática Clínica como Assunto , Neoplasias Cutâneas , Humanos , Carcinoma de Célula de Merkel/terapia , Carcinoma de Célula de Merkel/diagnóstico , Neoplasias Cutâneas/terapia , Neoplasias Cutâneas/diagnósticoRESUMO
Bronchopulmonary dysplasia (BPD) is a complex, multifactorial lung disease affecting preterm neonates that can result in long-term pulmonary and non-pulmonary complications. Current therapies mainly focus on symptom management after the development of BPD, indicating a need for innovative approaches to predict and identify neonates who would benefit most from targeted or earlier interventions. Clinical informatics, a subfield of biomedical informatics, is transforming healthcare by integrating computational methods with patient data to improve patient outcomes. The application of clinical informatics to develop and enhance clinical therapies for BPD presents opportunities by leveraging electronic health record data, applying machine learning algorithms, and implementing clinical decision support systems. This review highlights the current barriers and the future potential of clinical informatics in identifying clinically relevant BPD phenotypes and developing clinical decision support tools to improve the management of extremely preterm neonates developing or with established BPD. However, the full potential of clinical informatics in advancing our understanding of BPD with the goal of improving patient outcomes cannot be achieved unless we address current challenges such as data collection, storage, privacy, and inherent data bias.
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PURPOSE: Multiple groups have created clinical practice guidelines (CPGs) for the management of primary hyperparathyroidism (PHPT). This report provides a rigorous quality assessment using the Appraisal of Guidelines for Research & Evaluation Instrument (AGREE II) to identify high-performing guidelines and areas for improvement. METHODS: A systematic review was conducted to isolate CPGs addressing the management of PHPT. Guideline data was extracted and quality ratings were assigned by four independent reviewers. Intraclass correlation coefficients (ICC) were calculated to ensure interrater reliability. RESULTS: Twelve guidelines were assessed. The American Association of Endocrine Surgeons (AAES) guideline had the highest mean scaled score across all domains (73.6 ± 31.4%). No other published guideline achieved a "high" quality designation. The highest scoring domain was "clarity of presentation" (mean 60.5 ± 26.5%). The lowest scoring domain was "applicability" (mean 19.8 ± 18.2%). Scoring reliability was excellent, with ICC ≥ 0.89 for all AGREE II 6 domains. CONCLUSION: Although several working groups have developed guidelines to address PHPT management, only those published by the AAES meet all methodologic quality criteria necessary to ensure incorporation of recommendations into clinical practice. Future guidelines would benefit from the development of tools, resources, monitoring criteria that enhance applicability.
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Hiperparatireoidismo Primário , Guias de Prática Clínica como Assunto , Humanos , Hiperparatireoidismo Primário/terapia , Hiperparatireoidismo Primário/cirurgia , Hiperparatireoidismo Primário/diagnóstico , Guias de Prática Clínica como Assunto/normas , Reprodutibilidade dos TestesRESUMO
Among carbapenem-resistant Enterobacterales (CRE) are diverse mechanisms, including those that are resistant to meropenem but susceptible to ertapenem, adding further complexity to the clinical landscape. This study investigates the emergence of ertapenem-resistant, meropenem-susceptible (ErMs) Escherichia coli and Klebsiella pneumoniae CRE across five hospitals in San Antonio, Texas, USA, from 2012 to 2018. The majority of the CRE isolates were non-carbapenemase producers (NCP; 54%; 41/76); 56% of all NCP isolates had an ErMs phenotype. Among ErMs strains, E. coli comprised the majority (72%). ErMs strains carrying blaCTX-M had, on average, 9-fold higher copies of blaCTX-M than CP-ErMs strains as well as approximately 4-fold more copies than blaCTX-M-positive but ertapenem- and meropenem-susceptible (EsMs) strains (3.7 vs. 0.9, p < 0.001). Notably, carbapenem hydrolysis was observed to be mediated by strains harboring blaCTX-M with and without a carbapenemase(s). ErMs also carried more mobile genetic elements, particularly IS26 composite transposons, than EsMs (37 vs. 0.2, p < 0.0001). MGE- ISVsa5 was uniquely more abundant in ErMs than either EsMs or ErMr strains, with over 30 more average ISVsa5 counts than both phenotype groups (p < 0.0001). Immunoblot analysis demonstrated the absence of OmpC expression in NCP-ErMs E. coli, with 92% of strains lacking full contig coverage of ompC. Overall, our findings characterize both collaborative and independent efforts between blaCTX-M and OmpC in ErMs strains, indicating the need to reappraise the term "non-carbapenemase (NCP)", particularly for strains highly expressing blaCTX-M. To improve outcomes for CRE-infected patients, future efforts should focus on mechanisms underlying the emerging ErMs subphenotype of CRE strains to develop technologies for its rapid detection and provide targeted therapeutic strategies.
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Artificial intelligence (AI) offers tremendous potential to transform neonatology through improved diagnostics, personalized treatments, and earlier prevention of complications. However, there are many challenges to address before AI is ready for clinical practice. This review defines key AI concepts and discusses ethical considerations and implicit biases associated with AI. Next we will review literature examples of AI already being explored in neonatology research and we will suggest future potentials for AI work. Examples discussed in this article include predicting outcomes such as sepsis, optimizing oxygen therapy, and image analysis to detect brain injury and retinopathy of prematurity. Realizing AI's potential necessitates collaboration between diverse stakeholders across the entire process of incorporating AI tools in the NICU to address testability, usability, bias, and transparency. With multi-center and multi-disciplinary collaboration, AI holds tremendous potential to transform the future of neonatology.
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Lesões Encefálicas , Neonatologia , Sepse , Recém-Nascido , Humanos , Inteligência Artificial , OxigenoterapiaRESUMO
Abstract Objective: Several clinical practice guidelines have been produced and disseminated for the evaluation of a neck mass. However, to date, the quality and methodologic rigor of these clinical practice guidelines have not been appraised. Therefore, this study set out to identify and assess the methodologic quality of national and international guidelines for the evaluation and management of neck masses in adults. Methods: We conducted a comprehensive search of EMBASE, MEDLINE/PubMed, SCOPUS and grey literature sources until September 2020. The quality of these guidelines was assessed by four reviewers using the Appraisal of Guidelines for Research and Evaluation, 2nd edition (AGREE II). Domain scores were considered acceptable quality if they scored >60%, and Intraclass Correlation Coefficients (ICC) were calculated to assess agreement among the appraisers. Results: Seven guidelines were assessed for evaluation. Among these, only the American Academy of Otolaryngology (AAO), Cancer Care Manitoba (CCMB), and the American Society of Clinical Oncology (ASCO) achieved an overall rating of ‟high". The remaining four guidelines achieved ratings of either ‟average" or ‟low". The ‟Scope and Purpose" domain achieved the highest mean score (94.4%±5.0%), and lowest was ‟Applicability" (51.5%±29.2%). ICC analysis showed substantial to very good agreement across all domains (0.75-0.98). Conclusion: These findings highlight the variability in methodologic quality of guidelines for the evaluation and management of adult neck mass. The results from this analysis highlight the need to improve guidelines development process for this topic and may guide the selection and use of these guidelines in clinical practice.
Resumo Introdução: Várias diretrizes de práticas clínicas foram produzidas e divulgadas para a avaliação de massa cervical. Porém, até o momento, a qualidade e o rigor metodológico dessas diretrizes de práticas clínicas não foram avaliados. Objetivo: Identificar e avaliar a qualidade metodológica das diretrizes nacionais e internacionais para a avaliação e tratamento de massas cervicais em adultos. Método: Fizemos uma pesquisa abrangente das fontes de dados Embase, Medline/PubMed, Scopus e literatura cinza até setembro de 2020. A qualidade dessas diretrizes foi avaliada por quatro revisores com a 2a edição do Appraisal of Guidelines for Research and Evaluation (AGREE II). Os escores dos domínios foram considerados de qualidade aceitável se pontuassem >60% e os coeficientes de correlação intraclasse (Intraclass correlation coefficient - ICC) foram calculados para avaliar a concordância entre os avaliadores. Resultados: Sete diretrizes foram investigadas para avaliação. Entre elas, apenas a American Academy of Otolaryngology (AAO), o Cancer Care Manitoba (CCMB) e a American Society of Clinical Oncology (ASCO) obtiveram uma classificação geral ‟alta". As quatro diretrizes restantes obtiveram classificações ‟media" ou ‟baixa". O domínio ‟Escopo e objetivo'" obteve o maior escore médio (94,4% ± 5,0%) e o domínio ‟Aplicabilidade" obteve o menor escore (51,5%±29,2%). A análise ICC mostrou concordância substancial a muito boa em todos os domínios (0,75-0,98). Conclusão: Esses achados destacam a variabilidade na qualidade metodológica das diretrizes para avaliação e tratamento de massa cervical em adultos. Os resultados dessa análise destacam a necessidade de melhorar o processo de desenvolvimento de diretrizes para esse tópico e podem orientar a seleção e o uso dessas diretrizes na prática clínica.
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ABSTRACT Autoinflammatory disorders are immune-mediated diseases with increased production of inflammatory cytokines and absence of detectable autoantibodies. They course with recurrent episodes of systemic inflammation and fever is the most common symptom. Cutaneous manifestations are prevalent and important to diagnosis and early treatment of the syndromes. The purpose of this review is to emphasize to dermatologists the skin symptoms present in these syndromes in order to provide their early diagnosis.
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Humanos , Dermatopatias/etiologia , Doenças Autoimunes/complicações , Doenças Autoimunes/diagnóstico , Inflamação/complicações , Inflamação/diagnóstico , Dermatopatias/imunologia , Inflamação/imunologiaRESUMO
OBJECTIVE: To describe the epidemiological and clinical characteristics of child/adolescence multiple sclerosis (MS). METHOD: According to a descriptive, cohort study, with comparison of groups, data of 31 cases of child/adolescent MS, diagnosed at State Reference Center for Demyelinating Diseases - Hospital da Restauração, Recife, Pernambuco, Brazil, from 1987 to July 2007, were analyzed. The variables were: sex, initial symptoms, time for diagnosis, time of disease onset (early childhood, later childhood and adolescence), time of follow-up, number of relapses, relapses index and disability. Using SPSS software, version 13.0, t Student and Mann-Whitney tests were performed, with significance level of 0.05. RESULTS: There were 3 (9.7 percent) cases of early childhood MS, 9 (29 percent), of late childhood MS, and 19 (61.3 percent), of adolescence MS. The general sex rate female: male was 1.8:1, varying according to age of onset. The predominant deficits were motor (12; 38.7 percent) and brainstem/cerebellum (7; 22.5 percent) especially on subsequent relapses of relapsing/remitting form. Time for diagnosis and average relapses index were higher in early childhood than in adolescence class (p=0.049 and p=0.028, respectively). Disability was higher for primary and secondary MS, as well as for early childhood. CONCLUSION: Early childhood MS presents proper and different characteristics from adults, consisting in a difficult diagnosis that demands aid of expert neurologist on MS.
OBJETIVO: Descrever características epidemiológicas e clínicas de casos de esclerose múltipla (EM) de início precoce. MÉTODO: Em estudo descritivo, prospectivo, tipo coorte, com comparação de grupos, foram analisados 31 portadores de EM de início precoce, diagnosticados no Centro Estadual de Referência para Atenção a Pacientes Portadores de Doenças Desmielinizantes do Hospital da Restauração, Recife, Pernambuco, entre 1987 e julho de 2007. As classes ao primeiro surto foram: infantil precoce, infantil tardia e juvenil, e as variáveis: sexo; sintomas iniciais; tempo para diagnóstico, de doença e de seguimento; número de surtos, índice de recidivas e EDSS. Com o programa SPSS, versão 13.0, foram utilizados os testes t de Student e Mann-Whitney com nível de significância de 0,05. RESULTADOS: Foram observados 3 (9,7 por cento) casos de EM infantil precoce, 9 (29 por cento), infantil tardia, e 19 (61,3 por cento), juvenil. A razão geral de sexo feminino:masculino igualou-se a 1,8:1, variando segundo idade de início. Predominou comprometimento motor (12; 38,7 por cento) e de tronco encefálico ou cerebelo (7; 22,5 por cento), especialmente nos surtos subseqüentes da forma surto-remissão. O tempo para diagnóstico e o índice médio de recidivas foram maiores na infantil precoce que na juvenil (p=0,049 e p=0,028, respectivamente. O grau de incapacidade foi maior nas formas primária e secundária progressiva, assim como na infantil precoce. CONCLUSÃO: A EM na infância e adolescência apresenta características próprias, diferentes daquelas do adulto, constituindo-se em diagnóstico difícil, que exige auxílio de especialista em EM.
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Adolescente , Criança , Pré-Escolar , Feminino , Humanos , Lactente , Masculino , Esclerose Múltipla/complicações , Esclerose Múltipla/epidemiologia , Idade de Início , Brasil/epidemiologia , Estudos de Coortes , Avaliação da Deficiência , Esclerose Múltipla/diagnóstico , Estudos Prospectivos , RecidivaRESUMO
Os mecanismos biológicos humanos exibem variabilidade clínica previsível no tempo, o que tem permitido reavaliação das práticas médicas atuais, do estudo mais aprofundado do ritmo circadiano (RC) e dos mecanismos que geram as oscilações sustentadas em todos os níveis biológicos. Fizemos um estudo procurando relacionar o RC e o momento do aparecimento do quadro clínico neurológico decorrente da lesão vascular do encéfalo com os fatores de risco modificáveis identificados no momento da internação. Foram estudados 53 pacientes, sendo 50,94 por cento (n =27) do sexo feminino e 49,50 por cento(n =26) do masculino, com média de idade de 66,4 anos. Quatro intervalos de 6 horas (0-6; 6-12; 12-18; 18-24) foram usados para análise da freqüência do ictus e da incidência em cada intervalo. Os resultados mostraram 6 (11,32 por cento) pacientes no intervalo 0-6 hs; 21 (39,62 por cento) no intervalo 6-12 hs; 10 (18,86 por cento) no intervalo 12-18 hs; 16 (30,18 por cento) no intervalo 18-24 hs. Estudo de correlação com os fatores de risco, baseado nos dados clínicos no momento da internação, mostrou que a hipertensão arterial [(81,25 por cento)] e o tabagismo[ (56,25 por cento)] predominaram no intervalo 18-24 hs, enquanto o sedentarismo[11; (52,38 por cento)] o estresse[11 (52,38 por cento)] o diabetes [(47,61 por cento)] a hiperlipidemia [8 (38,09 por cento)] e o alcoolismo[8 (38,09 por cento)] predominaram no intervalo 6-12 hs; as cardiopatias [(50,00 por cento)] predominaram no intervalo de 12-18 hs.
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Idoso , Feminino , Humanos , Masculino , Ritmo Circadiano/fisiologia , Acidente Vascular Cerebral/etiologia , Brasil/epidemiologia , Hospitalização , Cardiopatias/complicações , Hipertensão/complicações , Fatores de Risco , Estatísticas não Paramétricas , Estresse Fisiológico , Fumar/efeitos adversos , Fatores de Tempo , Tomografia Computadorizada por Raios XRESUMO
Os autores apresentam os achados radiográficos observados em sete pacientes com comprometimento linfomatoso intra-espinhal, quatro dos quais ocorridos como a primeira manifestaçäo clínica da doença. Os mecanismos de comprometimento linfomatoso intrraespinhal säo discutidos ao mesmo tempo em que se chama a atençäo do radiologista para que inclua linfoma entre os diagnósticos diferenciais de massas primariamente intraespinhais