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In recent years, wearable devices have become increasingly attractive and the health care industry has been especially drawn to Google Glass because of its ability to serve as a head-mounted wearable device. The use of Google Glass in surgical settings is of particular interest due to the hands-free device potential to streamline workflow and maintain sterile conditions in an operating room environment. The aim is to conduct a systematic evaluation of the literature on the feasibility and acceptability of using Google Glass in surgical settings and to assess the potential benefits and limitations of its application. The literature was searched for articles published between January 2013 and May 2017. The search included the following databases: PubMed MEDLINE, Embase, Cumulative Index to Nursing and Allied Health Literature, PsycINFO (EBSCO), and IEEE Xplore. Two reviewers independently screened titles and abstracts and assessed full-text articles. Original research articles that evaluated the feasibility, usability, or acceptability of using Google Glass in surgical settings were included. This review was completed following the Preferred Reporting Results of Systematic Reviews and Meta-Analyses guidelines. Of the 520 records obtained, 31 met all predefined criteria and were included in this review. Google Glass was used in various surgical specialties. Most studies were in the United States (23/31, 74%) and all were conducted in hospital settings: 29 in adult hospitals (29/31, 94%) and two in children's hospitals (2/31, 7%). Sample sizes of participants who wore Google Glass ranged from 1 to 40. Of the 31 studies, 25 (81%) were conducted under real-time conditions or actual clinical care settings, whereas the other six (19%) were conducted under simulated environment. Twenty-six studies were pilot or feasibility studies (84%), three were case studies (10%), and two were randomized controlled trials (6%). The majority of studies examined the potential use of Google Glass as an intraoperative intervention (27/31, 87%), whereas others observed its potential use in preoperative (4/31, 13%) and postoperative settings (5/31, 16%). Google Glass was utilized as a videography and photography device (21/31, 68%), a vital sign monitor (6/31, 19%), a surgical navigation display (5/31, 16%), and as a videoconferencing tool to communicate with remote surgeons intraoperatively (5/31, 16%). Most studies reported moderate or high acceptability of using Google Glass in surgical settings. The main reported limitations of using Google Glass utilization were short battery life (8/31, 26%) and difficulty with hands-free features (5/31, 16%). There are promising feasibility and usability data of using Google Glass in surgical settings with particular benefits for surgical education and training. Despite existing technical limitations, Google Glass was generally well received and several studies in surgical settings acknowledged its potential for training, consultation, patient monitoring, and audiovisual recording.

A 49-year-old man with a family history of diabetes was evaluated because of hypoglycemia. Two hours earlier, he had been found on the floor, obtunded and making nonpurposeful movements. A diagnostic test was performed.

Background Radium-223 (Ra-223) has been approved for the treatment of metastatic castration-resistant prostate cancer (mCRPC) with predominant osseous metastases. PSA flare phenomenon with Ra-223 limits its use as a prognostic tool to predict treatment response. Currently, there is a lack of diagnostic tools to predict treatment response to Ra-223. Therefore, we sought to investigate the role of mid treatment C-11 choline PET/CT scan in predicting overall response to Ra-223. In a single institute retrospective study, we identified 32 patients who were treated with a full course of 4–6 cycles of Ra-223 and were evaluated with PSA, and C-11 choline PET scan before treatment, at mid-treatment point, and after complete course of Ra-223 between 2013 and 2018. Ra-223 was used as a salvage therapy for their predominant bone disease after failing chemotherapy and 2nd generation hormone therapy. Blind repeat radiographic evaluation of patients’ scans has been done by a radiologist specialized in nuclear medicine. Favorable response was defined by achieving partial response or stable disease on imaging, while unfavorable response was defined by showing progressive disease on imaging. Results Mean age (± SD) at starting Radium223 was 67.6 (± 7.1) years, median (IQR) primary Gleason score was 9 (8–9), and median (IQR) pretreatment PSA was 13.5 (5.4–39.6) ng/ml. 78% of the patients ( n  = 25) completed 6 cycles of Ra-223, and 15% of the patients ( n  = 5) completed 5 cycles while 6% ( n  = 2) received only 4 cycles. At mid treatment scanning, 25% of the patient ( n  = 8) showed favorable response (Group A), while 75% of the patients ( n  = 24) showed unfavorable response (B). After complete course of treatment, 50% of patients ( n  = 4) in Group (A) continued to show favorable response, versus only 8.3% of patients ( n  = 2) in Group (B) showed favorable response (p-value = 0.023). Conclusion Mid treatment evaluation with C-11 choline PET/CT scan can predict overall response to Radium 223. Patients with progressive disease at mid- treatment evaluation are very likely not going to respond to their treatment. Further studies and clinical trials are warranted.

Little is known about glycemic control in type 2 diabetes patients treated with insulin in the high-risk period between hospital discharge and follow-up. We sought to assess the impact of remote glucose monitoring on postdischarge glycemic control and insulin titration. We randomly assigned 28 hospitalized type 2 diabetes patients who were discharged home on insulin therapy to routine specialty care (RSC) or RSC with daily remote glucose monitoring (RGM). We compared the primary outcome of mean blood glucose and exploratory outcomes of hypoglycemia/hyperglycemia rates, change in hemoglobin A1c and glycated albumin, and insulin titration frequency between groups. Mean blood glucose was not significantly different between the treatment arms (144 ± 34 mg/dL in the RSC group and 172 ± 41 mg/dL in the RGM group; not significant), nor were there significant differences in any of the other measures of glycemia during the month after discharge. Hypoglycemia (glucometer reading <60 mg/dL) was common, occurring in 46% of subjects, with no difference between groups. In as-treated analysis, insulin dose adjustments (29% with an increase and 43% with decrease in insulin dose) occurred more frequently in the patients who used RGM (average of 2.8 vs. 1.2 dose adjustments; P = .03). In this pilot trial in insulin-treated type 2 diabetes, RGM did not affect glycemic control after hospital discharge; however, the high rate of hypoglycemia in the postdischarge transition period and the higher frequency of insulin titration in patients who used RGM suggest a safety role for such monitoring in the transition from hospital to home.

Diabetes affects approximately one quarter of all hospitalized patients. Poor inpatient glycemic control has been associated with increased risk for multiple adverse events including surgical site infections, prolonged hospital length of stay, and mortality. Inpatient glycemic control protocols based on physiologic basal-bolus insulin regimens have been shown to improve glycemia and clinical outcomes and are recommended by the American Diabetes Association, the American Association of Clinical Endocrinologists, and the Society of Hospital Medicine for inpatient glycemic management of noncritically ill patients. The 2009 Health Information Technology for Economic and Clinical Health (HITECH) Act will catalyze widespread computerized medication order entry implementation over the next few years. Here, we focus on the noncritical care setting and review the background on inpatient glycemic management as it pertains to computerized order entry, the translation and efficacy of computerizing glycemic control protocols, and the barriers to computerizing glycemic protocols.

To assess the effect of hospital admission on glycemic control in patients with diabetes up to 1 year after discharge. We retrospectively studied 826 adults with diabetes admitted to a tertiary care medical center and with available hemoglobin A1c (A1C) values for 6 months before admission and 1 year after discharge. We compared them with 826 nonhospitalized adults with diabetes matched for age, sex, race, comorbidity, and baseline A1C level. We determined the change in A1C value relative to hospitalization and baseline A1C level by using multivariate random effects models for repeated measures. Logistic regression analysis was performed to determine predictors of achieving recommended A1C levels at 1 year. Patients with baseline A1C levels ≥9% had an adjusted rate of change in A1C value of -0.10% per month (95% confidence interval [CI], -0.18 to -0.022; P=.012) during the course of 1 year, without significant differences between hospitalized and nonhospitalized patients in the mean rate of change. Hospitalized patients, however, were less likely to achieve an A1C goal of ≤7% at 1 year (odds ratio, 0.68; 95% CI, 0.55 to 0.86; P<.001) or an A1C of <8% at 1 year (odds ratio, 0.62; 95% CI, 0.48 to 0.81; P<.001) in comparison with the nonhospitalized patients. Despite an overall trend toward improved glycemia over time, hospitalized patients with uncontrolled diabetes were less likely to achieve glycemic targets at 1 year in comparison with matched nonhospitalized patients. These results suggest a missed opportunity to improve long-term glycemic control in hospitalized patients with diabetes.

Background: Longitudinal genomic profiling through serial circulating tumor DNA (ctDNA) testing offers a noninvasive method to monitor clonal evolution in advanced prostate cancer. This study evaluated the frequency and nature of newly emergent and potentially actionable genomic alterations detected through serial testing in a real-world setting. Methods: We conducted a retrospective analysis of advanced prostate cancer patients who underwent multiple Guardant360 ctDNA tests between October 2020 and March 2023. The study focused on identifying new genomic alterations absent in the initial test, with particular attention to alterations relevant for on-label therapies, therapies approved in other oncologic indications (i.e., off-label), or a clinical trial. Results: Among 479 patients with at least two ctDNA tests, the median interval between the first and second evaluable tests was 207 days. New and potentially actionable alterations emerged in 57.8% of patients, including potential targets for on-label therapies (16.7%), off-label therapies (16.5%), and clinical trials (55.7%). Tumor mutational burden (TMB) increased from “low” to “high” in 11% of patients, although none had microsatellite instability or mismatch repair deficiency. In a Mayo Clinic subset, ten patients received olaparib based on treatment-emergent alterations, but none achieved a prostate-specific antigen (PSA) response. Two patients who transitioned from low to high TMB received pembrolizumab, both with progressive disease as best response. Conclusions: In a large real-world cohort, serial ctDNA testing frequently identified new alterations that were not detected at baseline and are potentially actionable therapeutic targets, highlighting the value of serial genomic profiling for capturing clonal dynamics. Additional research is needed to better establish a framework for retesting and to clarify how these results should influence subsequent treatment decisions.

Background Sphingolipids are increasingly recognized to play a role in insulin resistance and diabetes. Recently we reported significant elevations of 1-deoxysphingolipids (1-deoxySL) - an atypical class of sphingolipids in patients with metabolic syndrome (MetS) and diabetes type 2 (T2DM). It is unknown whether 1-deoxySL in patients with diabetes type 1 (T1DM) are similarly elevated. Findings We analyzed the long chain base profile by LC-MS after hydrolyzing the N-acyl and O-linked headgroups in plasma from individuals with T1DM (N = 27), T2DM (N = 30) and healthy controls (N = 23). 1-deoxySLs were significantly higher in the groups with T2DM but not different between T1DM and controls. In contrast to patients with T2DM, 1-deoxSL levels are not elevated in T1DM. Conclusions Our study indicates that the 1-deoxySL formation is not per-se caused by hyperglycemia but rather specifically associated with metabolic changes in T2DM, such as elevated triglyceride levels.

What incentivizes a society and its leaders to modernize its economy? The Soviet Union and the People’s Republic of China represent twin communist party-ruled states. One collapsed while the other advances into an economic superpower. China stands as a “black swan” challenge to Western political science and political economy. Using Akmal Gafurov’s innovative A-E-M paradigm on socio-behavioral incentives and Gordon Anderson’s additional I-motive, this paper seeks to explain how incentives worked for the PRC in the last seven decades. It traces the evolution of China’s Government Productive Economic Structure and examines the interactions of the four motives—administrative, economic, moral, and survival—during the Mao Zedong, Deng Xiaoping and Xi Jinping eras. China’s successful reform has produced a system that is neither Soviet, nor Anglo-American, nor East Asian-developmental state. It has elements of all three.