Browsing by Author "Shah, Nidhi"

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    Current State of and Future Opportunities for Prediction in Microbiome Research: Report from the Mid-Atlantic Microbiome Meet-up in Baltimore on 9 January 2019.
    (mSystems, 2019-10) Sakowski, Eric; Uritskiy, Gherman; Cooper, Rachel; Gomes, Maya; McLaren, Michael R; Meisel, Jacquelyn S; Mickol, Rebecca L; Mintz, C David; Mongodin, Emmanuel F; Pop, Mihai; Rahman, Mohammad Arifur; Sanchez, Alvaro; Timp, Winston; Vela, Jeseth Delgado; Wolz, Carly Muletz; Zackular, Joseph P; Chopyk, Jessica; Commichaux, Seth; Davis, Meghan; Dluzen, Douglas; Ganesan, Sukirth M; Haruna, Muyideen; Nasko, Dan; Regan, Mary J; Sarria, Saul; Shah, Nidhi; Stacy, Brook; Taylor, Dylan; DiRuggiero, Jocelyne; Preheim, Sarah P
    Accurate predictions across multiple fields of microbiome research have far-reaching benefits to society, but there are few widely accepted quantitative tools to make accurate predictions about microbial communities and their functions. More discussion is needed about the current state of microbiome analysis and the tools required to overcome the hurdles preventing development and implementation of predictive analyses. We summarize the ideas generated by participants of the Mid-Atlantic Microbiome Meet-up in January 2019. While it was clear from the presentations that most fields have advanced beyond simple associative and descriptive analyses, most fields lack essential elements needed for the development and application of accurate microbiome predictions. Participants stressed the need for standardization, reproducibility, and accessibility of quantitative tools as key to advancing predictions in microbiome analysis. We highlight hurdles that participants identified and propose directions for future efforts that will advance the use of prediction in microbiome research.
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    Video capsule endoscopy for upper gastrointestinal hemorrhage in the emergency department: A systematic review and meta-analysis.
    (The American journal of emergency medicine, 2020-06) Shah, Nidhi; Chen, Chen; Montano, Nataly; Cave, David; Siegel, Rebecca; Gentile, Nina T; Limkakeng, Alexander T; Kumar, Anita B; Ma, Yan; Meltzer, Andrew C
    OBJECTIVE:The assessment of the severity of upper gastrointestinal hemorrhage in emergency department (ED) patients is difficult to assess with commonly available diagnostic tools. Small studies have shown that video capsule endoscopy (VCE) is a promising risk-stratification method and may be better than current clinical decision rules such as the Rockall score and the Glasgow Blatchford score. This review aims to assess the accuracy of VCE to detect active upper gastrointestinal hemorrhage compared to a reference standard. METHODS:The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology was used to perform a review of studies that have measured the diagnostic accuracy of VCE. Studies were included if they measured ED use of VCE for upper GI hemorrhage as compared to a reference standard of an esophagogastroduodenoscopy (EGD). A meta-analysis was performed on select patients using a fixed effects and random-effects model to determine the primary outcome of diagnostic test accuracy. RESULTS:40 studies were screened for eligibility and five studies representing 193 patients met the inclusion and exclusion criteria. All patients received both a VCE and an EGD. The sensitivity and specificity of VCE were 0.724 and 0.748, respectively. The diagnostic odds ratio was 6.29 (95% CI: 3.23-12.25) and the summary receiver operating characteristic curve was 0.782. CONCLUSIONS:VCE demonstrated high accuracy for detecting upper GI hemorrhage in this meta-analysis of existing studies. In light of the potential advantages of VCE in the ED, further research is warranted to further establish its role.