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The development of mobile-health technology has the potential to revolutionize personalized medicine. Biomedical sensors (e.g., wearables) can assist with determining treatment plans for individuals, provide quantitative information to healthcare providers, and give objective measurements of health, leading to the goal of precise phenotypic correlates for genotypes. Even though treatments and interventions are becoming more specific and datasets more abundant, measuring the causal impact of health interventions requires careful considerations of complex covariate structures, as well as knowledge of the temporal and spatial properties of the data. Thus, interpreting biomedical sensor data needs to make use of specialized statistical models. Here, we show how the Bayesian structural time series framework, widely used in economics, can be applied to these data. This framework corrects for covariates to provide accurate assessments of the significance of interventions. Furthermore, it allows for a time-dependent confidence interval of impact, which is useful for considering individualized assessments of intervention efficacy. We provide a customized biomedical adaptor tool, MhealthCI, around a specific implementation of the Bayesian structural time series framework that uniformly processes, prepares, and registers diverse biomedical data. We apply the software implementation of MhealthCI to a structured set of examples in biomedicine to showcase the ability of the framework to evaluate interventions with varying levels of data richness and covariate complexity and also compare the performance to other models. Specifically, we show how the framework is able to evaluate an exercise intervention's effect on stabilizing blood glucose in a diabetes dataset. We also provide a future-anticipating illustration from a behavioral dataset showcasing how the framework integrates complex spatial covariates. Overall, we show the robustness of the Bayesian structural time series framework when applied to biomedical sensor data, highlighting its increasing value for current and future datasets., Competing Interests: The authors have declared that no competing interests exist.

Objectives: To report a case of laryngeal involvement of mycosis fungoides and its symptomatic treatment with laser-assisted surgical ablation., Methods: Case report and literature review., Results: A 76-year-old woman with longstanding MF previously treated with Brentuximab Vedotin who developed persistent cough and dysphonia. The patient's laryngeal disease burden was treated with KTP-laser ablation and further reduced with doxorubicin and radiotherapy., Conclusions: Although laryngeal, and especially glottic, involvement is a rare finding, suspicion should be maintained in symptomatic patients with cutaneous mycosis fungoides. This the first reported surgical laser treatment of laryngeal symptoms in this context, which can greatly improve a patient's quality of life.

Patients with multiple myeloma who are refractory or intolerant to both bortezomib and lenalidomide have a poor prognosis. Next-generation therapies carfilzomib and pomalidomide have shown promising activity in this dual refractory population. Here we describe the clinical characteristics and ascertain the effects of carfilzomib and pomalidomide on survival in this patient cohort. We retrospectively reviewed the records of 65 patients with dual refractory/intolerant myeloma diagnosed between January 2007 and May 2012 at a single institution. The median overall survival (OS) from the time patients became dual refractory/intolerant was 10.2 months. Patients who received carfilzomib or pomalidomide after they became dual refractory/intolerant had a better OS compared to those who did not (12.6 vs. 6.8 months, p = 0.03 by Wilcoxon test). Prospective randomized control trials are needed for confirmation.

Background: The reported prevalence of anemia after malabsorptive bariatric surgery has varied from 5% to 64% in the post-Roux-en-Y gastric bypass (RYGB) population, owing to the small study sample sizes and generally poor follow-up in surgical referral practices. The present study estimated the prevalence of anemia in the post-RYGB population and determined whether an integrated healthcare system with a shared electronic medical record could improve postoperative follow-up., Methods: The medical records from 1009 sequential patients who had undergone RYGB from 2000 to 2005 were retrospectively analyzed. All anemia data within the healthcare system's electronic medical record were accessible., Results: Of the 1009 medical records, 720 contained ≥1 year of follow-up data concerning anemia. Anemia had developed or worsened in 259 patients, for a prevalence of 36% in the present sample. The anemia was moderate to severe (hemoglobin <10 g/dL) in 88 patients (12.2%.), many of whom subsequently required parenteral iron. Of the 1009 patients, the follow-up data for ≥3 years concerning anemia were available for only 357 patients (35.4%)., Conclusion: The results of the present study have shown that in a large population of patients undergoing RYGB, the prevalence of anemia was great enough to justify more intensive long-term screening. We hope the findings from the present report influence the national screening standards for this patient population., (Copyright © 2011 American Society for Metabolic and Bariatric Surgery. Published by Elsevier Inc. All rights reserved.)

Malfunctioning prosthetic heart valves have been previously associated with nonimmune hemolytic anemia; however, disseminated intravascular coagulation has not previously been noted as a complication in the absence of infective endocarditis. The authors report the case of an 81-year-old woman who developed disseminated intravascular coagulation associated with a dysfunctional prosthetic heart valve.