126 research outputs found

    Early Detection and Timely Reporting of Non-Mumps Etiologies of Parotitis: An Example in Developing Clinical and Public Health Partnerships

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    Background. Parotitis, or inflammation of the parotid gland, is most notably known as a characteristic symptom of mumps virus infection. Although instances of parotid inflammation with a variety of non-mumps viral etiologies have been described in medical literature, parotitis is a rarely reported complication of influenza virus infection. Ongoing communication between the clinical community and public health partners was essential for the early detection and reporting of the increased occurrence of parotitis cases associated with non-mumps etiologies. Methods. On 10 December 2014, a university health center notified the Indiana State Department of Health (ISDH) regarding a case of parotitis in a patient fully vaccinated with measles/mumps/rubella (MMR) vaccine. On 22 December 2014, the ISDH was notified of two additional cases of parotitis in pediatric patients who tested positive for influenza A and were fully vaccinated with MMR. Recognizing that parotitis may be an unusual symptom associated with circulating 2014-2015 respiratory viruses, the ISDH contacted the Centers for Disease Control and Prevention (CDC) on 22 December 2014 and other Midwest states on 8 January 2015 to determine whether cases of parotitis associated with respiratory viral infection were occurring outside of Indiana. There was interest among the Midwest states to pursue case finding, which resulted in a multi-state investigation of parotitis cases spearheaded by CDC. Results. Between December 2014 and February 2015, 20 cases of parotitis in Indiana were confirmed positive for respiratory viral etiologies other than mumps, namely influenza A, parainfluenza 2 and 3, adenovirus, enterovirus/rhinovirus, coronavirus OC 43 and herpes simplex virus 1. Conclusion. The early detection and timely reporting of unusual occurrences of parotitis and the subsequent case finding efforts are indicative of well-developed communication between clinical and public health partners. Partnerships among the clinical community, state health departments and the CDC are critical to exploring novel disease presentations

    Sputum microbiome profiling in COPD:beyond singular pathogen detection

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    Culture-independent microbial sequencing techniques have revealed that the respiratory tract harbours a complex microbiome not detectable by conventional culturing methods. The contribution of the microbiome to chronic obstructive pulmonary disease (COPD) pathobiology and the potential for microbiome-based clinical biomarkers in COPD are still in the early phases of investigation. Sputum is an easily obtainable sample and has provided a wealth of information on COPD pathobiology, and thus has been a preferred sample type for microbiome studies. Although the sputum microbiome likely reflects the respiratory microbiome only in part, there is increasing evidence that microbial community structure and diversity are associated with disease severity and clinical outcomes, both in stable COPD and during the exacerbations. Current evidence has been limited to mainly cross-sectional studies using 16S rRNA gene sequencing, attempting to answer the question 'who is there?' Longitudinal studies using standardised protocols are needed to answer outstanding questions including differences between sputum sampling techniques. Further, with advancing technologies, microbiome studies are shifting beyond the examination of the 16S rRNA gene, to include whole metagenome and metatranscriptome sequencing, as well as metabolome characterisation. Despite being technically more challenging, whole-genome profiling and metabolomics can address the questions 'what can they do?' and 'what are they doing?' This review provides an overview of the basic principles of high-throughput microbiome sequencing techniques, current literature on sputum microbiome profiling in COPD, and a discussion of the associated limitations and future perspectives

    Post-operative ctDNA monitoring in stage I colon cancer: A case report

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    Circulating tumor DNA (ctDNA) level monitoring after surgery for colon cancer has been studied in stage II and III colon cancer to risk-stratify patients for adjuvant therapy. However, there is less data regarding the role of this diagnostic tool in the management of stage I disease, where current recommended surveillance is limited to screening colonoscopy at one year. In this report, we describe the case of a 57-year-old man with stage I colon cancer who underwent complete resection with adequate lymph node surgical sampling, normal preoperative CEA and no evidence of metastatic disease on initial imaging. The patient elected to undergo serial ctDNA monitoring after surgery. Rising ctDNA levels, five months after resection, prompted cross-sectional imaging which demonstrated metastatic disease to the liver. The patient subsequently received five cycles of leucovorin, 5-fluorouracil, oxaliplatin, and irinotecan with bevacizumab (FOLFOXIRI-Bev) and definitive microwave ablation to the liver metastases, with resulting undetectable ctDNA levels. The patient’s imaging and colonoscopy one-year post-operatively showed no evidence of disease, with ctDNA levels remaining undetectable. This report highlights the value of ctDNA monitoring in patients with early-stage colon cancer and suggests that further, large-scale studies may be warranted to determine its appropriate clinical use

    The sputum transcriptome better predicts COPD exacerbations after the withdrawal of inhaled corticosteroids than sputum eosinophils

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    INTRODUCTION: Continuing inhaled corticosteroid (ICS) use does not benefit all patients with COPD, yet it is difficult to determine which patients may safely sustain ICS withdrawal. Although eosinophil levels can facilitate this decision, better biomarkers could improve personalised treatment decisions. METHODS: We performed transcriptional profiling of sputum to explore the molecular biology and compared the predictive value of an unbiased gene signature versus sputum eosinophils for exacerbations after ICS withdrawal in COPD patients. RNA-sequencing data of induced sputum samples from 43 COPD patients were associated with the time to exacerbation after ICS withdrawal. Expression profiles of differentially expressed genes were summarised to create gene signatures. In addition, we built a Bayesian network model to determine coregulatory networks related to the onset of COPD exacerbations after ICS withdrawal. RESULTS: In multivariate analyses, we identified a gene signature (LGALS12, ALOX15, CLC, IL1RL1, CD24, EMR4P) associated with the time to first exacerbation after ICS withdrawal. The addition of this gene signature to a multiple Cox regression model explained more variance of time to exacerbations compared to a model using sputum eosinophils. The gene signature correlated with sputum eosinophil as well as macrophage cell counts. The Bayesian network model identified three coregulatory gene networks as well as sex to be related to an early versus late/nonexacerbation phenotype. CONCLUSION: We identified a sputum gene expression signature that exhibited a higher predictive value for predicting COPD exacerbations after ICS withdrawal than sputum eosinophilia. Future studies should investigate the utility of this signature, which might enhance personalised ICS treatment in COPD patients

    Clinical Significance of Symptoms in Smokers with Preserved Pulmonary Function

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    Currently, the diagnosis of chronic obstructive pulmonary disease (COPD) requires a ratio of forced expiratory volume in 1 second (FEV1) to forced vital capacity (FVC) of less than 0.70 as assessed by spirometry after bronchodilator use. However, many smokers who do not meet this definition have respiratory symptoms
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