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https://www.readbyqxmd.com/read/27913961/prediction-of-postoperative-clinical-recovery-of-drop-foot-attributable-to-lumbar-degenerative-diseases-via-a-bayesian-network
#1
Shota Takenaka, Hiroyuki Aono
BACKGROUND: Drop foot resulting from degenerative lumbar diseases can impair activities of daily living. Therefore, predictors of recovery of this symptom have been investigated using univariate or/and multivariate analyses. However, the conclusions have been somewhat controversial. Bayesian network models, which are graphic and intuitive to the clinician, may facilitate understanding of the prognosis of drop foot resulting from degenerative lumbar diseases. QUESTIONS/PURPOSES: (1) To show a layered correlation among predictors of recovery from drop foot resulting from degenerative lumbar diseases; and (2) to develop support tools for clinical decisions to treat drop foot resulting from lumbar degenerative diseases...
December 2, 2016: Clinical Orthopaedics and related Research
https://www.readbyqxmd.com/read/27913742/frailty-assessment-in-hospitalized-older-adults-using-the-electronic-health-record
#2
Deborah A Lekan, Debra C Wallace, Thomas P McCoy, Jie Hu, Susan G Silva, Heather E Whitson
INTRODUCTION: Frailty, a clinical syndrome of decreased physiologic reserve and dysregulation in multiple physiologic systems, is associated with increased risk for adverse outcomes. PURPOSE: The aim of this retrospective, cross-sectional, correlational study was to characterize frailty in older adults admitted to a tertiary-care hospital using a biopsychosocial frailty assessment and to determine associations between frailty and time to in-hospital mortality and 30-day rehospitalization...
December 2, 2016: Biological Research for Nursing
https://www.readbyqxmd.com/read/27912757/the-sydney-triage-to-admission-risk-tool-start-to-predict-emergency-department-disposition-a-derivation-and-internal-validation-study-using-retrospective-state-wide-data-from-new-south-wales-australia
#3
Michael M Dinh, Saartje Berendsen Russell, Kendall J Bein, Kris Rogers, David Muscatello, Richard Paoloni, Jon Hayman, Dane R Chalkley, Rebecca Ivers
BACKGROUND: Disposition decisions are critical to the functioning of Emergency Departments. The objectives of the present study were to derive and internally validate a prediction model for inpatient admission from the Emergency Department to assist with triage, patient flow and clinical decision making. METHODS: This was a retrospective analysis of State-wide Emergency Department data in New South Wales, Australia. Adult patients (age ≥ 16 years) were included if they presented to a Level five or six (tertiary level) Emergency Department in New South Wales, Australia between 2013 and 2014...
December 3, 2016: BMC Emergency Medicine
https://www.readbyqxmd.com/read/27911233/elevated-preoperative-neutrophil-to-lymphocyte-ratio-as-a-predictor-of-worse-survival-after-resection-in-patients-with-brain-metastasis
#4
Koichi Mitsuya, Yoko Nakasu, Takeshi Kurakane, Nakamasa Hayashi, Hideyuki Harada, Kazuhiko Nozaki
OBJECTIVE The median postoperative survival duration of patients with brain metastases who undergo tumor resection is 12 months. Most of these patients die of systemic metastases or the progression of primary cancer but not brain metastases. The criteria for indicating resection are still controversial. Systemic assessment is restricted, especially in patients who need emergent management for their large-size or life-threatening brain metastases. The neutrophil-to-lymphocyte ratio (NLR) is reported to correlate with survival time or progression-free survival in patients with various cancers...
December 2, 2016: Journal of Neurosurgery
https://www.readbyqxmd.com/read/27909972/can-we-estimate-short-and-intermediate-term-survival-in-patients-undergoing-surgery-for-metastatic-bone-disease
#5
Jonathan A Forsberg, Rikard Wedin, Patrick J Boland, John H Healey
BACKGROUND: Objective means of estimating survival can be used to guide surgical decision-making and to risk-stratify patients for clinical trials. Although a free, online tool ( www.pathfx.org ) can estimate 3- and 12-month survival, recent work, including a survey of the Musculoskeletal Tumor Society, indicated that estimates at 1 and 6 months after surgery also would be helpful. Longer estimates help justify the need for more durable and expensive reconstructive options, and very short estimates could help identify those who will not survive 1 month and should not undergo surgery...
December 1, 2016: Clinical Orthopaedics and related Research
https://www.readbyqxmd.com/read/27909038/decision-tree-based-modelling-for-identification-of-potential-interactions-between-type-2-diabetes-risk-factors-a-decade-follow-up-in-a-middle-east-prospective-cohort-study
#6
Azra Ramezankhani, Esmaeil Hadavandi, Omid Pournik, Jamal Shahrabi, Fereidoun Azizi, Farzad Hadaegh
OBJECTIVE: The current study was undertaken for use of the decision tree (DT) method for development of different prediction models for incidence of type 2 diabetes (T2D) and for exploring interactions between predictor variables in those models. DESIGN: Prospective cohort study. SETTING: Tehran Lipid and Glucose Study (TLGS). METHODS: A total of 6647 participants (43.4% men) aged >20 years, without T2D at baselines ((1999-2001) and (2002-2005)), were followed until 2012...
December 1, 2016: BMJ Open
https://www.readbyqxmd.com/read/27908167/computer-aided-prognosis-for-cell-death-categorization-and-prediction-in-vivo-using-quantitative-ultrasound-and-machine-learning-techniques
#7
M J Gangeh, A Hashim, A Giles, L Sannachi, G J Czarnota
PURPOSE: At present, a one-size-fits-all approach is typically used for cancer therapy in patients. This is mainly because there is no current imaging-based clinical standard for the early assessment and monitoring of cancer treatment response. Here, the authors have developed, for the first time, a complete computer-aided-prognosis (CAP) system based on multiparametric quantitative ultrasound (QUS) spectroscopy methods in association with texture descriptors and advanced machine learning techniques...
December 2016: Medical Physics
https://www.readbyqxmd.com/read/27908158/similarity-measurement-of-lung-masses-for-medical-image-retrieval-using-kernel-based-semisupervised-distance-metric
#8
Guohui Wei, He Ma, Wei Qian, Min Qiu
PURPOSE: To develop a new algorithm to measure the similarity between the query lung mass and reference lung mass data set for content-based medical image retrieval (CBMIR). METHODS: A lung mass data set including 746 mass regions of interest (ROIs) was assembled. Among them, 375 ROIs depicted malignant lesions and 371 depicted benign lesions. Each mass ROI is represented by a vector of 26 texture features. A kernel function was employed to map the original data in input space to a feature space...
December 2016: Medical Physics
https://www.readbyqxmd.com/read/27905893/computational-prediction-of-multidisciplinary-team-decision-making-for-adjuvant-breast-cancer-drug-therapies-a-machine-learning-approach
#9
Frank P Y Lin, Adrian Pokorny, Christina Teng, Rachel Dear, Richard J Epstein
BACKGROUND: Multidisciplinary team (MDT) meetings are used to optimise expert decision-making about treatment options, but such expertise is not digitally transferable between centres. To help standardise medical decision-making, we developed a machine learning model designed to predict MDT decisions about adjuvant breast cancer treatments. METHODS: We analysed MDT decisions regarding adjuvant systemic therapy for 1065 breast cancer cases over eight years. Machine learning classifiers with and without bootstrap aggregation were correlated with MDT decisions (recommended, not recommended, or discussable) regarding adjuvant cytotoxic, endocrine and biologic/targeted therapies, then tested for predictability using stratified ten-fold cross-validations...
December 1, 2016: BMC Cancer
https://www.readbyqxmd.com/read/27904903/prediction-of-severe-bleeding-after-coronary-surgery-the-will-bleed-risk-score
#10
Fausto Biancari, Debora Brascia, Francesco Onorati, Daniel Reichart, Andrea Perrotti, Vito G Ruggieri, Giuseppe Santarpino, Daniele Maselli, Giovanni Mariscalco, Riccardo Gherli, Antonino S Rubino, Marisa De Feo, Giuseppe Gatti, Francesco Santini, Magnus Dalén, Matteo Saccocci, Eeva-Maija Kinnunen, Juhani K E Airaksinen, Paola D'Errigo, Stefano Rosato, Francesco Nicolini
Severe perioperative bleeding after coronary artery bypass grafting (CABG) is associated with poor outcome. An additive score for prediction of severe bleeding was derived (n=2494) and validated (n=1250) in patients from the E-CABG registry. Severe bleeding was defined as E-CABG bleeding grades 2-3 (transfusion of >4 units of red blood cells or reoperation for bleeding). The overall incidence of severe bleeding was 6.4 %. Preoperative anaemia (3 points), female gender (2 points), eGFR <45 ml/min/1.73 m(2) (3 points), potent antiplatelet drugs discontinued less than five days (2 points), critical preoperative state (5 points), acute coronary syndrome (2 points), use of low-molecular-weight heparin/fondaparinux/unfractionated heparin (1 point) were independent predictors of severe bleeding...
December 1, 2016: Thrombosis and Haemostasis
https://www.readbyqxmd.com/read/27904602/comparison-of-different-risk-stratification-systems-in-predicting-short-term-serious-outcome-of-syncope-patients
#11
Saeed Safari, Alireza Baratloo, Behrooz Hashemi, Farhad Rahmati, Mohammad Mehdi Forouzanfar, Maryam Motamedi, Ladan Mirmohseni
BACKGROUND: Determining etiologic causes and prognosis can significantly improve management of syncope patients. The present study aimed to compare the values of San Francisco, Osservatorio Epidemiologico sulla Sincope nel Lazio (OESIL), Boston, and Risk Stratification of Syncope in the Emergency Department (ROSE) score clinical decision rules in predicting the short-term serious outcome of syncope patients. MATERIALS AND METHODS: The present diagnostic accuracy study with 1-week follow-up was designed to evaluate the predictive values of the four mentioned clinical decision rules...
2016: Journal of Research in Medical Sciences: the Official Journal of Isfahan University of Medical Sciences
https://www.readbyqxmd.com/read/27903462/radiomic-based-pathological-response-prediction-from-primary-tumors-and-lymph-nodes-in-nsclc
#12
Thibaud P Coroller, Vishesh Agrawal, Elizabeth Huynh, Vivek Narayan, Stephanie W Lee, Raymond H Mak, Hugo J W L Aerts
INTRODUCTION: Non-invasive biomarkers that capture the total tumor burden could provide important complementary information for precision medicine to aid clinical decision-making. We investigated the value of radiomic data, extracted from pre-treatment computed tomography (CT) images of the primary tumor and lymph nodes, in predicting pathological response following neoadjuvant chemoradiation prior to surgery. METHODS: Eighty-five patients with resectable locally-advanced (stage II-III) non-small cell lung cancer (NSCLC) (median age: 60...
November 26, 2016: Journal of Thoracic Oncology
https://www.readbyqxmd.com/read/27903334/applying-an-evidence-based-assessment-model-to-identify-students-at-risk-for-perceived-academic-problems-following-concussion
#13
Danielle M Ransom, Alison R Burns, Eric A Youngstrom, Christopher G Vaughan, Maegan D Sady, Gerard A Gioia
OBJECTIVES: The aim of this study was to demonstrate the utility of an evidence-based assessment (EBA) model to establish a multimodal set of tools for identifying students at risk for perceived post-injury academic problems. METHODS: Participants included 142 students diagnosed with concussion (age: M=14.95; SD=1.80; 59% male), evaluated within 4 weeks of injury (median=16 days). Demographics, pre-injury history, self- and parent-report measures assessing symptom severity and executive functions, and cognitive test performance were examined as predictors of self-reported post-injury academic problems...
November 2016: Journal of the International Neuropsychological Society: JINS
https://www.readbyqxmd.com/read/27898976/development-and-validation-of-a-deep-learning-algorithm-for-detection-of-diabetic-retinopathy-in-retinal-fundus-photographs
#14
Varun Gulshan, Lily Peng, Marc Coram, Martin C Stumpe, Derek Wu, Arunachalam Narayanaswamy, Subhashini Venugopalan, Kasumi Widner, Tom Madams, Jorge Cuadros, Ramasamy Kim, Rajiv Raman, Philip C Nelson, Jessica L Mega, Dale R Webster
Importance: Deep learning is a family of computational methods that allow an algorithm to program itself by learning from a large set of examples that demonstrate the desired behavior, removing the need to specify rules explicitly. Application of these methods to medical imaging requires further assessment and validation. Objective: To apply deep learning to create an algorithm for automated detection of diabetic retinopathy and diabetic macular edema in retinal fundus photographs...
November 29, 2016: JAMA: the Journal of the American Medical Association
https://www.readbyqxmd.com/read/27897172/adaptation-and-external-validation-of-the-european-randomised-study-of-screening-for-prostate-cancer-risk-calculator-for-the-chinese-population
#15
P K Chiu, M J Roobol, D Nieboer, J Y Teoh, S K Yuen, S M Hou, M K Yiu, C F Ng
BACKGROUND: To adapt the well-performing European Randomized Study of Screening for Prostate Cancer (ERSPC) risk calculator to the Chinese setting and perform an external validation. METHODS: The original ERSPC risk calculator 3 (RC3) for prostate cancer (PCa) and high-grade PCa (HGPCa) was applied to a development cohort of 3006 previously unscreened Hong Kong Chinese men with initial transrectal biopsies performed from 1997 to 2015, age 50-80 years, PSA 0.4-50 ng ml(-1) and prostate volume 10-150 ml...
November 29, 2016: Prostate Cancer and Prostatic Diseases
https://www.readbyqxmd.com/read/27893619/substituting-systolic-blood-pressure-with-shock-index-in-the-national-trauma-triage-protocol
#16
Ansab A Haider, Asad Azim, Peter Rhee, Narong Kulvatunyou, Kareem Ibraheem, Andrew Tang, Terence O'Keeffe, Hajira Iftikhar, Gary Vercruysse, Bellal Joseph
INTRODUCTION: The National Trauma Triage Protocol (NTTP) is an algorithm that guides emergency medical services providers through four decision steps to identify the patients that would benefit from trauma center care. The NTTP defines a systolic blood pressure (SBP) of less than 90 mm Hg as one of the criteria for trauma center need. The aim of our study was to determine the impact of substituting SBP of less than 90 mm Hg with shock index (SI) on triage performance. METHODS: A 2-year (2011-2012) retrospective analysis of all trauma patients 18 years or older in the National Trauma Databank was performed...
December 2016: Journal of Trauma and Acute Care Surgery
https://www.readbyqxmd.com/read/27890844/validation-of-a-decision-tree-to-streamline-infrainguinal-vein-graft-surveillance
#17
Reza Mofidi, Olivia Mb McBride, Barnabas R Green, Tracey Gatenby, Paul Walker, Simon Milburn
INTRODUCTION: Duplex Ultrasound (DU) based graft surveillance remains controversial. The aim of this study was to assess the ability of a recently proposed decision tree in identifying high-risk grafts which would benefit from DU based surveillance. MATERIALS AND METHODS: Consecutive patients undergoing infrainguinal vein graft bypass from January 2008 to December 2015 were identified from the National Vascular registry and enrolled in a duplex surveillance program...
November 24, 2016: Annals of Vascular Surgery
https://www.readbyqxmd.com/read/27890122/safety-in-passenger-ships-the-influence-of-environmental-design-characteristics-on-people-s-perception-of-safety
#18
Markus Ahola, Ruth Mugge
Although objective safety is a widely studied topic in ergonomics, subjective safety has received far less research attention. Nevertheless, most of human decision-making and behavior depends on how we perceive our environment. This study investigates the effects of various environmental design characteristics on people's safety perception in a passenger ship context. Five different environmental design characteristics were manipulated to increase the openness of the space or to create more clear navigation, resulting in 20 different cabin corridors for a passenger ship...
March 2017: Applied Ergonomics
https://www.readbyqxmd.com/read/27889399/a-natural-language-processing-based-model-to-automate-mri-brain-protocol-selection-and-prioritization
#19
Andrew D Brown, Thomas R Marotta
RATIONALE AND OBJECTIVES: Incorrect imaging protocol selection can contribute to increased healthcare cost and waste. To help healthcare providers improve the quality and safety of medical imaging services, we developed and evaluated three natural language processing (NLP) models to determine whether NLP techniques could be employed to aid in clinical decision support for protocoling and prioritization of magnetic resonance imaging (MRI) brain examinations. MATERIALS AND METHODS: To test the feasibility of using an NLP model to support clinical decision making for MRI brain examinations, we designed three different medical imaging prediction tasks, each with a unique outcome: selecting an examination protocol, evaluating the need for contrast administration, and determining priority...
November 23, 2016: Academic Radiology
https://www.readbyqxmd.com/read/27889277/evaluating-the-four-kallikrein-panel-of-the-4kscore-for-prediction-of-high-grade-prostate-cancer-in-men-in-the-canary-prostate-active-surveillance-study
#20
Daniel W Lin, Lisa F Newcomb, Marshall D Brown, Daniel D Sjoberg, Yan Dong, James D Brooks, Peter R Carroll, Matthew Cooperberg, Atreya Dash, William J Ellis, Michael Fabrizio, Martin E Gleave, Todd M Morgan, Peter S Nelson, Ian M Thompson, Andrew A Wagner, Yingye Zheng
BACKGROUND: Diagnosis of Gleason 6 prostate cancer can leave uncertainty about the presence of undetected aggressive disease. OBJECTIVE: To evaluate the utility of a four kallikrein (4K) panel in predicting the presence of high-grade cancer in men on active surveillance. DESIGN, SETTING, AND PARTICIPANTS: Plasma collected before the first and subsequent surveillance biopsies was assessed for 718 men prospectively enrolled in the multi-institutional Canary PASS trial...
November 23, 2016: European Urology
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