Histologic examination of tissues is central to the diagnosis and management of neoplasms and many other diseases, and is a foundational technique for preclinical and basic research. However, commonly used bright-field microscopy requires prior preparation of micrometre-thick tissue sections mounted on glass slides, a process that can require hours or days, that contributes to cost, and that delays access to critical information. Here, we introduce a simple, non-destructive slidefree technique that within minutes provides high-resolution diagnostic histological images resembling those obtained from conventional haematoxylin-and-eosin-histology. The approach, which we named microscopy with ultraviolet surface excitation (MUSE), can also generate shape and colour-contrast information. MUSE relies on ~280-nm ultraviolet light to restrict the excitation of conventional fluorescent stains to tissue surfaces, and it has no significant effects on downstream molecular assays (including fluorescence in situ hybridization and RNA-seq). MUSE promises to improve the speed and efficiency of patient care in both state-of-the-art and lowresource settings, and to provide opportunities for rapid histology in research. High-quality tissue microscopy is central to the diagnosis and management of neoplasms as well as other diseases. However, the bright-field (transmission) design of clinical Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:

BackgroundTuberculosis (TB) is a serious problem in China. While there have been some studies on the nationwide genotyping of Mycobacterium tuberculosis (M. tuberculosis), there has been little detailed research in Beijing, the capital of China, which has a huge population. Here, M. tuberculosis clinical strains collected in Beijing during 2009 were genotyped by classical methods.Methodology/Principal FindingsOur aim was to analyze the genetic diversity of M. tuberculosis strains within the Beijing metropolitan area. We characterized these strains using two standard methods, spoligotyping (n = 1585) and variable number of tandem repeat (VNTR) typing (n = 1053). We found that the most prominent genotype was Beijing family genotype. Other genotypes included the MANU, T and H families etc. Spoligotyping resulted in 137 type patterns, included 101 unclustered strains and 1484 strains clustered into 36 clusters. In VNTR typing analysis, we selected 12-locus (QUB-11b, MIRU10, Mtub21, MIRU 23, MIRU39, MIRU16, MIRU40, MIRU31, Mtub24, Mtub04, MIRU20, and QUB-4156c) and named it 12-locus (BJ) VNTR. VNTR resulted in 869 type patterns, included 796 unclustered strains and 257 strains clustered into 73 clusters. It has almost equal discriminatory power to the 24-locus VNTR.Conclusions/SignificanceOur study provides a detailed characterization of the genotypic diversity of M. tuberculosis in Beijing. Combining spoligotyping and VNTR typing to study the genotyping of M. tuberculosis gave superior results than when these techniques were used separately. Our results indicated that Beijing family strains were still the most prevalent M. tuberculosis in Beijing. Moreover, VNTR typing analyzing of M. tuberculosis strains in Beijing was successfully accomplished using 12-locus (BJ) VNTR. This method used for strains genotyping from the Beijing metropolitan area was comparable. This study will not only provide TB researchers with valuable information for related studies, but also provides guidance for the prevention and control of TB in Beijing.

Objective Large sample investigations for risk factors for pneumonia in elderly patients after hip fracture surgeries are lacking. The purpose of this study is to determine the incidence and risk factors for postoperative pneumonia in geriatric patients following hip fracture operations. Methods A retrospective study of incidence and risk factors in a tertiary referral center between 2016 and 2020 was conducted. Geriatric patients who developed postoperative pneumonia after surgeries of hip fracture during hospitalization stay were defined as cases and those without as controls. Multivariate logistic regression model was used to evaluate risk factors for postoperative pneumonia. Results This study included 3147 patients, and 182 developed postoperative pneumonia, denoting the rate of 5.8%. In the multivariate analyses, age (OR 1.04; 95% CI 1.02–1.06), sex (males) (OR 2.27; 95% CI 1.64–3.13), respiratory disease (OR 3.74; 95% CI 2.32–6.04), heart disease (OR 1.68; 95% CI 1.14–2.47), cerebrovascular disease (OR 1.58; 95% CI 1.11–2.27), liver disease (OR 2.61; 95% CI 1.33–5.15), preoperative stay (OR 1.08; 95% CI 1.05–1.11) and general anesthesia (OR 1.61; 95% CI 1.15–2.27) were identified as independent risk factors for postoperative pneumonia. Conclusions This study identified several risk factors for pneumonia in geriatric patients after hip fracture operations, providing a viable preventive strategy for optimizing clinical conditions for reduction of postoperative pneumonia.

BackgroundRates of medication non-adherence in dialysis patients are high, and improving adherence is likely to improve outcomes. Few data are available regarding factors associated with medication adherence in dialysis patients, and these data are needed to inform effective intervention strategies.Methods/designThis is an observational cross-sectional study of a multi-ethnic dialysis cohort from New Zealand, with the main data collection tool being an interviewer-assisted survey. A total of 100 participants were randomly sampled from a single centre, with selection stratified by ethnicity and dialysis modality (facility versus home). The main outcome measure is self-reported medication adherence using the Morisky 8-Item Medication Adherence Scale (MMAS-8). Study data include demographic, clinical, social and psychometric characteristics, the latter being constructs of health literacy, medication knowledge, beliefs about medications, and illness perceptions. Psychometric constructs were assessed through the following survey instruments; health literacy screening questions, the Medication Knowledge Evaluation Tool (Okuyan et al.), the Beliefs about Medication Questionnaire (Horne et al.), the Brief Illness Perception Questionnaire (Broadbent et al.). Using the study data, reliability analysis for internal consistency is satisfactory for the scales evaluating health literacy, medication knowledge, and beliefs about medications, with Chronbach’s α > 0.7 for all. Reliability analysis indicated poor internal consistency for scales relating to illness perceptions. MMAS-8 and all psychometric scores are normally distributed in the study data.DiscussionThis study will provide important information on the factors involved in medication non-adherence in New Zealand dialysis patients. The resulting knowledge will inform long-term initiatives to reduce medication non-adherence in dialysis patients, and help ensure that they are addressing appropriate and evidence based targets for intervention.Electronic supplementary materialThe online version of this article (doi:10.1186/s12882-015-0097-2) contains supplementary material, which is available to authorized users.