General anesthesia soon after dialysis may increase postoperative hypotension - A pilot study.

IntroductionPilot study associating hemodialysis-to-general-anesthesia time interval and post-operative complications in hemodialysis patients to better define a more optimal pre-anesthetic waiting period.MethodsPre-anesthetic and 48-hours post-anesthetic parameters (age, gender, body-mass-index, pre-operative ultrafiltrate, potassium, renal disease etiology, hemodialysis sessions per week, Acute Physiology and Chronic Health Evaluation-II score, Portsmouth-Physiologic and Operative Severity Score for the Enumeration of Mortality and Morbidity, American Society of Anesthesiologists physical status, Johns Hopkins Surgical Classification System Category, surgical urgency, intra-operative fluids, estimated blood loss, post-operative complications) were collected on chronic hemodialysis patients between 11/2009-12/2010. Continuous data were analyzed by Analysis of Variance or t-test. Bivariate data were analyzed by Fisher's Exact Test. Relative Risks/Confidence Intervals were calculated for statistically significant comparisons (p=0.05). Exclusion criteria were incomplete records, peritoneal dialysis, intra-operative hemodialysis, liver transplant, and cardiopulmonary bypass.ResultsPatients were grouped by dialysis to anesthesia time interval: Group 1 >24 hours, Group 2 7-23.9 hours, Group 3 < 7 hours. Among Surgical Category 3-5 patients, hypotension was more common in Group 3 than Group 1 (63.6% vs 9.2%, p<0.0001, relative risk=6.9, confidence interval=3.0-15.7) or Group 2 (63.6% vs 17.3%, p=0.0002, relative risk=3.7, confidence interval=1.9-7.2). Other complications rates were not statistically significant. Disease and surgical severity scores, preoperative ultrafiltrate, and intra-operative fluids were not different.ConclusionsPost-anesthetic hypotension within 48 hours was more common in those with < 7 hours interval between dialysis and anesthesia. Therefore, if surgical urgency permits, a delay of ≥7 hours may limit postoperative hypotension. More precise associations should be obtained through a prospective study

(Epi)genomic heterogeneity of pancreatic islet function and failure in type 2 diabetes.

BACKGROUND: Pancreatic Islets of Langerhans are heterogeneous tissues consisting of multiple endocrine cell types that carry out distinct yet coordinated roles to regulate blood glucose homeostasis. Islet dysfunction and specifically failure of the beta cells to secrete adequate insulin are known precursors to type 2 diabetes (T2D) onset. However, the exact genetic, (epi)genomic, and environmental mechanisms that contribute to islet failure, and ultimately to T2D pathogenesis, require further elucidation. SCOPE OF REVIEW: This review summarizes efforts and advances in dissection of the complex genetic underpinnings of islet function and resilience in T2D pathogenesis. In this review, we will highlight results of the latest T2D genome-wide association study (GWAS) and discuss how these data are being combined with clinical measures in patients to uncover putative T2D subtypes and with functional (epi)genomic studies in islets to understand the genetic programming of islet cell identity, function, and adaptation. Finally, we discuss new and important opportunities to address major knowledge gaps in our understanding of islet (dys)function in T2D risk and progression. MAJOR CONCLUSIONS: Genetic variation exerts clear effects on the islet epigenome, regulatory element usage, and gene expression. Future (epi)genomic comparative analyses between T2D and normal islets should incorporate genetics to distinguish patient-specific from disease-specific differences. Incorporating genotype information into future analyses and studies will also enable more precise insights into the molecular genetics of islet deficiency and failure in T2D risk, and should ultimately contribute to a stratified view of T2D and more precise treatment strategies. Islet cellular heterogeneity continues to remain a challenge for understanding the associations between islet failure and T2D development. Further efforts to obtain purified islet cell type populations and determine the specific genetic and environmental effects on each will help address this. Beyond observation of islets at steady state conditions, more research of islet stress and stimulation responses are needed to understand the transition of these tissues from a healthy to diseased state. Together, focusing on these objectives will provide more opportunities to prevent, treat, and manage T2D

Referral management and the care of patients with diabetes: the Translating Research Into Action for Diabetes (TRIAD) study.

OBJECTIVE: To examine the effect of referral management on diabetes care. STUDY DESIGN: Cross-sectional analysis. PATIENTS AND METHODS: Translating Research Into Action for Diabetes (TRIAD) is a multicenter study of managed care enrollees with diabetes. Prospective referral management was defined as "gatekeeping" and mandatory preauthorization from a utilization management office, and retrospective referral management as referral profiling and appropriateness reviews. Outcomes included dilated eye exam; self-reported visit to specialists; and perception of difficulty in getting referrals. Hierarchical models adjusted for clustering and patient age, gender, race, ethnicity, type and duration of diabetes treatment, education, income, health status, and comorbidity. RESULTS: Referral management was commonly used by health plans (55%) and provider groups (52%). In adjusted analyses, we found no association between any referral management strategies and any of the outcome measures. CONCLUSIONS: Referral management does not appear to have an impact on referrals or perception of referrals related to diabetes care

Harnessing the potential of multiomics studies for precision medicine in infectious disease

The field of infectious diseases currently takes a reactive approach and treats infections as they present in patients. Although certain populations are known to be at greater risk of developing infection (eg, immunocompromised), we lack a systems approach to define the true risk of future infection for a patient. Guided by impressive gains in omics technologies, future strategies to infectious diseases should take a precision approach to infection through identification of patients at intermediate and high-risk of infection and deploy targeted preventative measures (ie, prophylaxis). The advances of high-throughput immune profiling by multiomics approaches (ie, transcriptomics, epigenomics, metabolomics, proteomics) hold the promise to identify patients at increased risk of infection and enable risk-stratifying approaches to be applied in the clinic. Integration of patient-specific data using machine learning improves the effectiveness of prediction, providing the necessary technologies needed to propel the field of infectious diseases medicine into the era of personalized medicine

Evolving concepts on the role of dyslipidemia, bioenergetics, and inflammation in the pathogenesis and treatment of diabetic peripheral neuropathy

Diabetic peripheral neuropathy (DPN) is one of the most widespread and disabling neurological conditions, accounting for half of all neuropathy cases worldwide. Despite its high prevalence, no approved disease modifying therapies exist. There is now a growing body of evidence that DPN secondary to type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) represents different disease processes, with T2DM DPN best understood within the context of metabolic syndrome rather than hyperglycemia. In this review, we highlight currently understood mechanisms of DPN, along with their corresponding potential therapeutic targets. We frame this discussion within a practical overview of how the field evolved from initial human observations to murine pathomechanistic and therapeutic models into ongoing and human clinical trials, with particular emphasis on T2DM DPN and metabolic syndrome.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/155898/1/jns12387.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/155898/2/jns12387_am.pd

Nursing Interventions for Intradialtyic Hypotension: Using Blood Volume Monitoring Guided Ultrafiltration

Background: Intradialytic hypotension is a potential complication experienced by patients with end-stage renal disease who receive hemodialysis. This complication occurs during the dialysis treatment in 15-30% of all treatments. The multiple comorbidities that exist in hemodialysis patients predispose them to recurrent intradialytic hypotension episodes. Recurrent intradialytic hypotensive episodes can result in negative short-term and long-term clinical consequences. Short-term consequences include complications such as ischemic events (e.g., heart attacks, strokes), clotting of patient dialysis access, or heart rhythm abnormalities. Long-term consequences include end-organ damage, increased cardiovascular morbidity, and a higher mortality rate. Problem Statement: Available nursing interventions used to treat intradialytic hypotension such as decreased dialysis fluid temperature, changes in the calcium and sodium concentrations in the dialysis fluid and oral medication have limited success. Another existing technological intervention called blood volume monitoring shows greater potential success but is currently underutilized. Purpose: The purpose of this literature review is to synthesize current literature on blood volume monitoring technology used to prevent intradialytic hypotension in hemodialysis patients. Methods: A literature review was conducted analyzing pertinent research articles published in the last ten years, in addition to seminal articles. Seventeen articles were retrieved and analyzed that met criteria. Results: Fourteen of the seventeen research studies reached a consensus on the successful use of blood volume monitoring to decrease intradialytic hypotension and the related symptoms. Conclusion: Results of the literature review support the use of blood volume monitoring technology as an effective nursing intervention to prevent intradialytic hypotension in hemodialysis patients

Targeted Metabolomics for Clinical Biomarker Discovery in Multifactorial Diseases

Diseases & disorder

The Influence of Clinically Meaningful Factors on the Performance of the Recommended Annual Diabetic Foot Screening

Background: Diabetic foot ulcers are the result of multiple complications from hyperglycemia and lead to poor quality of life and high healthcare costs. The annual diabetes foot screening exam (ADFSE) and prevention interventions can reduce DFUs up to 75%. In 2015, 71% of the US population received the ADFSE. Objectives: The main objectives of this dissertation were: 1) to determine the association between adherence to diabetes self-management behaviors and the ADFSE, 2) to determine the association between concordant and discordant comorbidities and the ADFSE and 3) to determine the association between the performance of diabetes preventive care processes, number of office visits for diabetes and the completion of the ADFSE. Methods: Three cross-sectional studies used data from the 2015 Behavioral Risk Factor Surveillance System. Logistic regression models were evaluated to assess the association between the self-management behaviors and the ADFSE. Structural equation modeling (SEM) was used to assess the simultaneous, direct effects of concordant and discordant comorbidity loads on the ADFSE and the performance of diabetes preventive care processes and the number of office visits for diabetes care on the ADFSE. Results: In 2015, between 78.2% and 80.4% of the US population with diabetes received the ADFSE. Performance of the ADFSE was 77% less likely (OR: 0.33, 95%CI: 0.25-0.44) in those who do not perform self-foot inspections and 40% (OR: 0.59, 95%CI: 0.45-0.76) less likely in those who have never received the pneumococcal vaccination. Receiving the ADFSE was 50-80% less likely in patients who do not self-monitor blood glucose at least one time per day, depending on insulin use and receipt of diabetes education. Neither concordant comorbidities (β=0.226, p=0.086) nor discordant comorbidities (β=0.080, p=0.415) had a direct association with the performance of the ADFSE. The collection of preventive care processes demonstrated a 7% (OR: 1.07, 95% CI: 1.05-1.10) increase in the likelihood the ADFSE was performed Conclusions: Performance of the ADFSE may be improved through multiple types of interventions. Patient-based interventions to increase adherence to self-management behaviors is one route. Programs to improve overall diabetes care in the clinical setting may also help to further improve completion of the ADFSE