CD11b Expression in Acute Myeloid Leukemia is Associated With Hemostatic Complications and Response to Treatment

Aim:In our study, we aimed to investigate the effects of CD11b expression on myeloblasts on clinical course and prognosis in patients with AML.Materials and Methods:Data of 123 patients diagnosed with AML between 2014-2017 in Trakya University Faculty of Medicine, Department of Hematology, a tertiary referral hospital in the Trakya Region, were evaluated in a retrospective manner. The diagnosis of AML was based on WHO 2016 criteria of Myeloid Neoplasms.Results:Of the 123 patients in our study, 60 were female, and 63 were male. The mean age was 57.93 years. CD11b positivity was observed in 40 patients. Platelet counts were significantly lower in patients with CD11b positivity (p = 0.004). Likewise, D-dimer levels at presentation were higher in the CD11b positive patient group (p = 0.000). Regarding outcomes, patients with CD11b positivity were found to have lower rates of remission with first-line remission induction therapy (p = 0.003). There was no significant relationship between CD11b positivity and overall survival with Kaplan Meier survival analysis (8.5 months in CD 11b positive group, 12.1 months in negative group, p: 0.436).Conclusion:Our study demonstrated that patients with CD11b expression had lower remission rates with remission induction chemotherapy

Interventions to increase attendance for diabetic retinopathy screening

This is the protocol for a review and there is no abstract. The objectives are as follows: The primary objective of the review is to assess the effectiveness of intervention components that seek to increase attendance for diabetic retinopathy screening in people with type 1 and type 2 diabetes. Secondary objectives: - To use validated taxonomies of QI intervention strategies and behaviour change techniques (BCTs) to code the description of interventions in the included studies and determine whether interventions that include particular QI strategies or component BCTs are more effective in increasing screening attendance; - To explore heterogeneity in effect size within and between studies to identify potential explanatory factors for variability in effect size; - To explore differential effects in subgroups to provide information on how equity of screening attendance could be improved; - To critically appraise and summarise current evidence on the resource use, costs and cost-effectiveness

Could ratio of hemoglobin to red cell distribution width and ratio of absolute lymphocyte count to absolute monocyte count be a prognostic tool in newly diagnosed multiple myeloma patients?

IntroductionHemoglobin/red cell distribution width (RDW) ratio (HRR) and lymphocyte-to-monocyte ratio (LMR) are two novel bio-markers associated with overall survival (OS) and prognosis in several types of cancers. The aim of this study is to investigate the value of HRR and LMR in newly diagnosed multiple myeloma (MM) patients. MethodsA total of 180 patients were included in this study. Patients diagnosed with MM between May 2013 and May 2019 at a single center were evaluated. HRR was calculated by dividing hemoglobin to RDW, both measured from the same sample. LMR was calculated by dividing absolute lymphocyte count (ALC) to absolute monocyte count (AMC). ResultsThe cutoff value for HRR was taken as 0.61, and the cutoff value for LMR was taken as 3.28. Patients were divided into low HRR, high HRR, low LMR, and high LMR groups. OS of the patients with low HRR was found lower compared with high HRR (36.7 months for low HRR and 53.2 months for high HRR, < 0.001). Also, OS was found lower in the low LMR group (39.4 months for low LMR and 51.7 months for high LMR, = 0.016). On multivariate analysis, low HRR and low LMR were predictive factors of OS (hazard ratio (HR) 2.08, 95% confidence intervals (CI) 1.31–3.03, and = 0.002 for low HRR; HR 1.47, 95% CI 0.92–2.29, and = 0.010 for low LMR). ConclusionCombining both HRR and LMR could be a prognostic biomarker and it reflects the status of the immune system in newly diagnosed MM patients

Automated Diabetic Retinopathy Image Assessment Software: Diagnostic Accuracy and Cost-Effectiveness Compared with Human Graders.

OBJECTIVE: With the increasing prevalence of diabetes, annual screening for diabetic retinopathy (DR) by expert human grading of retinal images is challenging. Automated DR image assessment systems (ARIAS) may provide clinically effective and cost-effective detection of retinopathy. We aimed to determine whether ARIAS can be safely introduced into DR screening pathways to replace human graders. DESIGN: Observational measurement comparison study of human graders following a national screening program for DR versus ARIAS. PARTICIPANTS: Retinal images from 20 258 consecutive patients attending routine annual diabetic eye screening between June 1, 2012, and November 4, 2013. METHODS: Retinal images were manually graded following a standard national protocol for DR screening and were processed by 3 ARIAS: iGradingM, Retmarker, and EyeArt. Discrepancies between manual grades and ARIAS results were sent to a reading center for arbitration. MAIN OUTCOME MEASURES: Screening performance (sensitivity, false-positive rate) and diagnostic accuracy (95% confidence intervals of screening-performance measures) were determined. Economic analysis estimated the cost per appropriate screening outcome. RESULTS: Sensitivity point estimates (95% confidence intervals) of the ARIAS were as follows: EyeArt 94.7% (94.2%-95.2%) for any retinopathy, 93.8% (92.9%-94.6%) for referable retinopathy (human graded as either ungradable, maculopathy, preproliferative, or proliferative), 99.6% (97.0%-99.9%) for proliferative retinopathy; Retmarker 73.0% (72.0 %-74.0%) for any retinopathy, 85.0% (83.6%-86.2%) for referable retinopathy, 97.9% (94.9%-99.1%) for proliferative retinopathy. iGradingM classified all images as either having disease or being ungradable. EyeArt and Retmarker saved costs compared with manual grading both as a replacement for initial human grading and as a filter prior to primary human grading, although the latter approach was less cost-effective. CONCLUSIONS: Retmarker and EyeArt systems achieved acceptable sensitivity for referable retinopathy when compared with that of human graders and had sufficient specificity to make them cost-effective alternatives to manual grading alone. ARIAS have the potential to reduce costs in developed-world health care economies and to aid delivery of DR screening in developing or remote health care settings

The evidence base for circulating tumour DNA blood-based biomarkers for the early detection of cancer: a systematic mapping review

Background: The presence of circulating cell-free DNA from tumours in blood (ctDNA) is of major importance to those interested in early cancer detection, as well as to those wishing to monitor tumour progression or diagnose the presence of activating mutations to guide treatment. In 2014, the UK Early Cancer Detection Consortium undertook a systematic mapping review of the literature to identify blood-based biomarkers with potential for the development of a non-invasive blood test for cancer screening, and which identified this as a major area of interest. This review builds on the mapping review to expand the ctDNA dataset to examine the best options for the detection of multiple cancer types. Methods: The original mapping review was based on comprehensive searches of the electronic databases Medline, Embase, CINAHL, the Cochrane library, and Biosis to obtain relevant literature on blood-based biomarkers for cancer detection in humans (PROSPERO no. CRD42014010827). The abstracts for each paper were reviewed to determine whether validation data were reported, and then examined in full. Publications concentrating on monitoring of disease burden or mutations were excluded. Results: The search identified 94 ctDNA studies meeting the criteria for review. All but 5 studies examined one cancer type, with breast, colorectal and lung cancers representing 60% of studies. The size and design of the studies varied widely. Controls were included in 77% of publications. The largest study included 640 patients, but the median study size was 65 cases and 35 controls, and the bulk of studies (71%) included less than 100 patients. Studies either estimated cfDNA levels non-specifically or tested for cancer-specific mutations or methylation changes (the majority using PCR-based methods). Conclusion: We have systematically reviewed ctDNA blood biomarkers for the early detection of cancer. Pre-analytical, analytical, and post-analytical considerations were identified which need to be addressed before such biomarkers enter clinical practice. The value of small studies with no comparison between methods, or even the inclusion of controls is highly questionable, and larger validation studies will be required before such methods can be considered for early cancer detection

Phylogenetic ctDNA analysis depicts early-stage lung cancer evolution.

The early detection of relapse following primary surgery for non-small-cell lung cancer and the characterization of emerging subclones, which seed metastatic sites, might offer new therapeutic approaches for limiting tumour recurrence. The ability to track the evolutionary dynamics of early-stage lung cancer non-invasively in circulating tumour DNA (ctDNA) has not yet been demonstrated. Here we use a tumour-specific phylogenetic approach to profile the ctDNA of the first 100 TRACERx (Tracking Non-Small-Cell Lung Cancer Evolution Through Therapy (Rx)) study participants, including one patient who was also recruited to the PEACE (Posthumous Evaluation of Advanced Cancer Environment) post-mortem study. We identify independent predictors of ctDNA release and analyse the tumour-volume detection limit. Through blinded profiling of postoperative plasma, we observe evidence of adjuvant chemotherapy resistance and identify patients who are very likely to experience recurrence of their lung cancer. Finally, we show that phylogenetic ctDNA profiling tracks the subclonal nature of lung cancer relapse and metastasis, providing a new approach for ctDNA-driven therapeutic studies

Liquid biopsies come of age: towards implementation of circulating tumour DNA

Improvements in genomic and molecular methods are expanding the range of potential applications for circulating tumour DNA (ctDNA), both in a research setting and as a ‘liquid biopsy’ for cancer management. Proof-of-principle studies have demonstrated the translational potential of ctDNA for prognostication, molecular profiling and monitoring. The field is now in an exciting transitional period in which ctDNA analysis is beginning to be applied clinically, although there is still much to learn about the biology of cell-free DNA. This is an opportune time to appraise potential approaches to ctDNA analysis, and to consider their applications in personalized oncology and in cancer research.We would like to acknowledge the support of The University of Cambridge, Cancer Research UK (grant numbers A11906, A20240, A15601) (to N.R., J.D.B.), the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013)/ERC Grant Agreement n. 337905 (to N.R.), the Cambridge Experimental Cancer Medicine Centre, and Hutchison Whampoa Limited (to N.R.), AstraZeneca (to R.B., S.P.), the Cambridge Experimental Cancer Medicine Centre (ECMC) (to R.B., S.P.), and NIHR Biomedical Research Centre (BRC) (to R.B., S.P.). J.G.C. acknowledges clinical fellowship support from SEOM

Performance improvements through flexible workforce

This thesis focuses on increasing the efficiency of systems with cross-trained workforce and finite storage spaces. Our objective is to maximize the throughput and minimize the setup costs (if they exist). More specifically, we are interested in determining effective cross-training strategies and dynamic server assignment policies for flexible servers in production lines with finite buffers. In the first part of this thesis, we study non-Markovian systems and support the conjecture that effective server assignment policies are robust to service time distributions. Next, we consider understaffed tandem lines with partially or fully flexible servers, determine optimal and heuristic server assignment policies, and show that most of the benefits of full flexibility can be achieved with limited flexibility. Finally, we incorporate the setups to our model, determine the optimal server assignment policy for some systems and show how the effective assignment of servers depends on the magnitude of the setup costs.Ph.D.Committee Co-Chair: Hayriye Ayhan; Committee Co-Chair: Sigrun Andradottir; Committee Member: David M. Goldsman; Committee Member: Douglas G. Down; Committee Member: Robert D. Fole