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1.
Am J Gastroenterol ; 107(4): 554-60, 2012 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-22233695

RESUMEN

OBJECTIVES: Limited data guide capsule endoscopists on how to view the many images collected in each capsule. The objective of this study was to compare the detection rates of clinically significant findings in different capsule endoscopy reading modes and speeds. METHODS: Seventeen capsule endoscopists with experience from 23 to > 1,000 total capsule procedures read 24 clips, 18 of which were abnormal. Clips were read in two different reading modes utilizing two speeds, including SingleView at 15 at frames per second (f.p.s.), SingleView 25 f.p.s., QuadView 20 f.p.s., and QuadView 30 f.p.s. The main outcome measurements were pathology detection rates correlated with reading mode, lesion type, reader experience, and timing order. RESULTS: SingleView 15, QuadView 20, and QuadView 30 had no significant difference in overall detection rate (45, 47, and 43%, respectively). SingleView 25 had a 26% detection rate, which was significantly lower than SingleView 15 (P = 0.04) and QuadView 20 (P = 0.002). The detection rates of angioectasias, ulcers/erosions, masses/polyps, and blood were 69, 38, 46, and 17%, respectively. Reader experience and timing of interpretation did not significantly impact detection rate. LIMITATIONS: Pathology was present on a few frames. Limited modes and speeds were assessed. Lesion types were not confirmed with surgical or deep enteroscopic methods. A relatively small number of readers provided interpretations. CONCLUSIONS: Overall, the detection rates in this study are lower than previously reported and not influenced by increasing experience. Detection rates are significantly higher when reading in SingleView 15 and QuadView 20 compared with reading in SingleView 25. Increasing viewing speed from QuadView 20 to QuadView 30 appears to have no significant effect on detection. Quality control measures to compare and improve lesion detection rates need further study.


Asunto(s)
Endoscopía Capsular , Competencia Clínica , Errores Diagnósticos/estadística & datos numéricos , Enfermedades Gastrointestinales/diagnóstico , Intestino Delgado , Humanos , Procesamiento de Imagen Asistido por Computador , Modelos Lineales , Variaciones Dependientes del Observador
2.
Nucleic Acids Res ; 35(Database issue): D76-9, 2007 Jan.
Artículo en Inglés | MEDLINE | ID: mdl-17062619

RESUMEN

Here we present the Synthetic Gene Database (SGDB): a relational database that houses sequences and associated experimental information on synthetic (artificially engineered) genes from all peer-reviewed studies published to date. At present, the database comprises information from more than 200 published experiments. This resource not only provides reference material to guide experimentalists in designing new genes that improve protein expression, but also offers a dataset for analysis by bioinformaticians who seek to test ideas regarding the underlying factors that influence gene expression. The SGDB was built under MySQL database management system. We also offer an XML schema for standardized data description of synthetic genes. Users can access the database at http://www.evolvingcode.net/codon/sgdb/index.php, or batch downloads all information through XML files. Moreover, users may visually compare the coding sequences of a synthetic gene and its natural counterpart with an integrated web tool at http://www.evolvingcode.net/codon/sgdb/aligner.php, and discuss questions, findings and related information on an associated e-forum at http://www.evolvingcode.net/forum/viewforum.php?f=27.


Asunto(s)
Bases de Datos de Ácidos Nucleicos , Genes Sintéticos , Internet , Biosíntesis de Proteínas , Interfaz Usuario-Computador
3.
Transplant Direct ; 5(9): e485, 2019 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-31579813

RESUMEN

Tacrolimus trough variability is an important risk factor for kidney allograft outcomes. Recent evidence suggests that the gut microbiota is associated with tacrolimus dosing requirements and direct metabolism of tacrolimus. We hypothesize that administration of antibiotics, which are known to alter the gut microbiota, is associated with tacrolimus trough variability. METHODS: We conducted a retrospective chart review of subjects who received kidney transplants at our institution from 2012 to 2013 and evaluated subjects who received antibiotics during the first month of transplantation (Abx Group, N = 60) and subjects who did not (No Abx Group, N = 200). We evaluated whether antibiotic administration in the Abx Group had increased tacrolimus trough concentrations and concentration over tacrolimus dosage (C/D) after antibiotic administration. We also evaluated tacrolimus variability as measured by standard deviation (SD) and coefficient of variation between the Abx Group and No Abx Group. RESULTS: In the Abx Group, tacrolimus trough concentration over tacrolimus dosage (C/D) increased 7 and 15 days after antibiotic administration (P = 0.001, P = 0.07, respectively, Wilcoxon signed-rank test). From postoperative day 31-45, the variability in tacrolimus trough levels in the Abx Group as measured by SD and coefficient of variation was significantly higher than the variability in the No Abx Group (P = 0.03, P = 0.02, Wilcoxon rank sum test, respectively). CONCLUSIONS: Our identification of antibiotic administration as a potentially new risk factor for tacrolimus trough variability suggests the need to carefully follow tacrolimus trough levels after antibiotic administration.

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