Manual physical therapy and exercise versus electrophysical agents and exercise in the management of plantar heel pain: A multicenter randomized clinical trial

STUDY DESIGN: Randomized clinical trial. OBJECTIVE: To compare the effectiveness of 2 different conservative management approaches in the treatment of plantar heel pain. BACKGROUND: There is insufficient evidence to establish the optimal physical therapy management strategies for patients with heel pain, and little evidence of long-term effects. METHODS: Patients with a primary report of plantar heel pain underwent a standard evaluation and completed a number of patient self-report questionnaires, including the Lower Extremity Functional Scale (LEFS), the Foot and Ankle Ability Measure (FAAM), and the Numeric Pain Rating Scale (NPRS). Patients were randomly assigned to be treated with either an electrophysical agents and exercise (EPAX) or a manual physical therapy and exercise (MTEX) approach. Outcomes of interest were captured at baseline and at 4-week and 6-month follow-ups. The primary aim (effects of treatment on pain and disability) was examined with a mixed-model analysis of variance (ANOVA). The hypothesis of interest was the 2-way interaction (group by time). RESULTS: Sixty subjects (mean [SD] age, 48.4 [8.7] years) satisfied the eligibility criteria, agreed to participate, and were randomized into the EPAX (n = 30) or MTEX group (n = 30). The overall group-by-time interaction for the ANOVA was statistically significant for the LEFS (P = .002), FAAM (P = .005), and pain (P = .043). Between-group differences favored the MTEX group at both 4-week (difference in LEFS, 13.5; 95% Cl: 6.3,20.8) and 6-month (9.9; 95% Cl: 1.2,18.6) follow-ups. CONCLUSION: The results of this study provide evidence that MTEX is a superior management approach over an EPAX approach in the management of individuals with plantar heel pain at both the short- and long-term follow-ups. Future studies should examine the contribution of the different components of the exercise and manual physical therapy programs

Content and Performance of the MiniMUGA Genotyping Array, a New Tool To Improve Rigor and Reproducibility in Mouse Research.

The laboratory mouse is the most widely used animal model for biomedical research, due in part to its well annotated genome, wealth of genetic resources and the ability to precisely manipulate its genome. Despite the importance of genetics for mouse research, genetic quality control (QC) is not standardized, in part due to the lack of cost effective, informative and robust platforms. Genotyping arrays are standard tools for mouse research and remain an attractive alternative even in the era of high-throughput whole genome sequencing. Here we describe the content and performance of a new iteration of the Mouse Universal Genotyping Array, MiniMUGA, an array-based genetic QC platform with over 11,000 probes. In addition to robust discrimination between most classical and wild-derived laboratory strains, MiniMUGA was designed to contain features not available in other platforms: 1) chromosomal sex determination, 2) discrimination between substrains from multiple commercial vendors, 3) diagnostic SNPs for popular laboratory strains, 4) detection of constructs used in genetically engineered mice, and 5) an easy-to-interpret report summarizing these results. In-depth annotation of all probes should facilitate custom analyses by individual researchers. To determine the performance of MiniMUGA we genotyped 6,899 samples from a wide variety of genetic backgrounds. The performance of MiniMUGA compares favorably with three previous iterations of the MUGA family of arrays both in discrimination capabilities and robustness. We have generated publicly available consensus genotypes for 241 inbred strains including classical, wild-derived and recombinant inbred lines. Here we also report the detection of a substantial number of XO and XXY individuals across a variety of sample types, new markers that expand the utility of reduced complexity crosses to genetic backgrounds other than C57BL/6, and the robust detection of 17 genetic constructs. We provide preliminary evidence that the array can be used to identify both partial sex chromosome duplication and mosaicism, and that diagnostic SNPs can be used to determine how long inbred mice have been bred independently from the relevant main stock. We conclude that MiniMUGA is a valuable platform for genetic QC and an important new tool to the increase rigor and reproducibility of mouse research