Daily versus three times weekly dosing for treatment of iron deficiency nonanemia in NCAA Division 1 female athletes.

OBJECTIVE: To compare the effectiveness, compliance, and side effect profile between daily or three times weekly (TIW) oral iron supplementation regimens in treating iron deficiency nonanemia (IDNA) in National Collegiate Athletic Association (NCAA) Division 1 female track and field or soccer athletes. DESIGN: Prospective cohort study. SETTING: Division 1 collegiate athletics. PARTICIPANTS: Thirty-three NCAA Division 1 female athletes (18 track and field, 15 soccer). INTERVENTIONS: Daily or TIW dosing of ferrous bisglycinate. MAIN OUTCOME MEASURES: Serum ferritin (µg/L) was measured before and after 8 weeks of supplementation. Self-reported compliance and side effect profile was assessed by electronic survey every 2 weeks. RESULTS: The average main effect for the TIW regimen was a significant increase of 5.17 µg/L (95% CI: 0.86-9.47) in serum ferritin (p = .02). The average main effect for the daily regimen was a significant increase of 12.88 µg/L (95% CI: 4.84-20.93) in serum ferritin (p = .003). The estimated average effect of the treatment on the treated between regimens was a nonsignificant decrease of -7.17 µg/L (95% CI: -19.02 - 3.59) in serum ferritin (p = .17). Thus, the TIW regimen increased serum ferritin 7.17 units less than the daily regimen on average after 8 weeks of supplementation. The athletes following the daily regimen experienced significantly more nausea (p = .04) and constipation (p = .002) compared to the TIW regimen. There was no statistical difference in compliance between the two groups (p = .14). CONCLUSIONS: Both the daily and TIW regimens increased serum ferritin. Compared to the daily regimen, the TIW regimen produced a smaller increase in serum ferritin but less nausea and constipation.

Pathosphere.org: pathogen detection and characterization through a web-based, open source informatics platform.

BACKGROUND: The detection of pathogens in complex sample backgrounds has been revolutionized by wide access to next-generation sequencing (NGS) platforms. However, analytical methods to support NGS platforms are not as uniformly available. Pathosphere (found at Pathosphere.org) is a cloud - based open - sourced community tool that allows for communication, collaboration and sharing of NGS analytical tools and data amongst scientists working in academia, industry and government. The architecture allows for users to upload data and run available bioinformatics pipelines without the need for onsite processing hardware or technical support. RESULTS: The pathogen detection capabilities hosted on Pathosphere were tested by analyzing pathogen-containing samples sequenced by NGS with both spiked human samples as well as human and zoonotic host backgrounds. Pathosphere analytical pipelines developed by Edgewood Chemical Biological Center (ECBC) identified spiked pathogens within a common sample analyzed by 454, Ion Torrent, and Illumina sequencing platforms. ECBC pipelines also correctly identified pathogens in human samples containing arenavirus in addition to animal samples containing flavivirus and coronavirus. These analytical methods were limited in the detection of sequences with limited homology to previous annotations within NCBI databases, such as parvovirus. Utilizing the pipeline-hosting adaptability of Pathosphere, the analytical suite was supplemented by analytical pipelines designed by the United States Army Medical Research Insititute of Infectious Diseases and Walter Reed Army Institute of Research (USAMRIID-WRAIR). These pipelines were implemented and detected parvovirus sequence in the sample that the ECBC iterative analysis previously failed to identify. CONCLUSIONS: By accurately detecting pathogens in a variety of samples, this work demonstrates the utility of Pathosphere and provides a platform for utilizing, modifying and creating pipelines for a variety of NGS technologies developed to detect pathogens in complex sample backgrounds. These results serve as an exhibition for the existing pipelines and web-based interface of Pathosphere as well as the plug-in adaptability that allows for integration of newer NGS analytical software as it becomes available.