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Clinical outcome prediction

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https://www.readbyqxmd.com/read/28231626/default-mode-network-deactivation-to-smoking-cue-relative-to-food-cue-predicts-treatment-outcome-in-nicotine-use-disorder
#1
Claire E Wilcox, Eric D Claus, Vince D Calhoun, Srinivas Rachakonda, Rae A Littlewood, Jessica Mickey, Pamela B Arenella, Natalie Goodreau, Kent E Hutchison
Identifying predictors of treatment outcome for nicotine use disorders (NUDs) may help improve efficacy of established treatments, like varenicline. Brain reactivity to drug stimuli predicts relapse risk in nicotine and other substance use disorders in some studies. Activity in the default mode network (DMN) is affected by drug cues and other palatable cues, but its clinical significance is unclear. In this study, 143 individuals with NUD (male n = 91, ages 18-55 years) received a functional magnetic resonance imaging scan during a visual cue task during which they were presented with a series of smoking-related or food-related video clips prior to randomization to treatment with varenicline (n = 80) or placebo...
February 23, 2017: Addiction Biology
https://www.readbyqxmd.com/read/28231541/endogenous-microrna-424-predicts-clinical-outcome-and-its-inhibition-acts-as-cancer-suppressor-in-human-non-small-cell-lung-cancer
#2
Yu Wang, Zhenyang Lv, Junfeng Fu, Ze Wang, Zhe Fan, Ting Lei
PURPOSE: We examined the expression, clinical correlation and functional mechanisms of endogenous microRNA-424 (miR-424) in human non-small cell lung cancer (NSCLC). METHODS: Expression pattern of endogenous miR-424 was examined by qRT-PCR in clinical samples obtained from 233 NSCLC patients. Correlations between differential miR-424 expression level (low vs. high) and NSCLC patients' clinicopathological parameters or survival were statistically examined. In in vitro NSCLC H596 and SW900 cells, miR-424 was either upregulated or downregulation by lentiviral transduction...
February 20, 2017: Biomedicine & Pharmacotherapy, Biomédecine & Pharmacothérapie
https://www.readbyqxmd.com/read/28230291/therapeutic-potentials-of-bdnf-trkb-in-breast-cancer-current-status-and-perspectives
#3
Amir Tajbakhsh, Amin Mokhtari-Zaer, Mehdi Rezaee, Fahimeh Afzaljavan, Mehdi Rivandi, Seyed Mahdi Hassanian, Gordon A Ferns, Alireza Pasdar, Amir Avan
Brain-derived neurotrophic factor (BDNF) is a potent neurotrophic factor that has been shown to stimulate breast cancer cell growth and metastasis via tyrosine kinase receptors TrkA, TrkB and the p75(NTR) death receptor. The aberrant activation of BDNF/TrkB pathways can modulate several signaling pathways, including Akt/PI3K, Jak/STAT, NF-kB, UPAR/UPA, Wnt/β-catenin and VEGF pathways as well as the ER receptor. Several microRNAs have been identified that are involved in the modulation of BDNF/TrkB pathways...
February 23, 2017: Journal of Cellular Biochemistry
https://www.readbyqxmd.com/read/28230176/antithrombotic-therapy-for-patients-with-stemi-undergoing-primary-pci
#4
REVIEW
Francesco Franchi, Fabiana Rollini, Dominick J Angiolillo
Antithrombotic therapy, including antiplatelet and anticoagulant agents, is the cornerstone of pharmacological treatment to optimize clinical outcomes in patients with ST-segment elevation myocardial infarction (STEMI) undergoing primary percutaneous coronary intervention (PPCI). Intravenous anticoagulant drugs available for PPCI include the indirect thrombin inhibitors unfractionated heparin and low-molecular-weight heparin, and the direct thrombin inhibitor bivalirudin. Intravenous antiplatelet drugs mainly include glycoprotein IIb/IIIa inhibitors and the P2Y12-receptor inhibitor cangrelor...
February 23, 2017: Nature Reviews. Cardiology
https://www.readbyqxmd.com/read/28229254/the-impact-of-post-procedural-complications-on-reimbursement-length-of-stay-and-mechanical-ventilation-among-patients-undergoing-transcatheter-aortic-valve-implantation-in-germany
#5
Klaus Kaier, Holger Reinecke, Huseyin Naci, Lutz Frankenstein, Martin Bode, Werner Vach, Philip Hehn, Andreas Zirlik, Manfred Zehender, Jochen Reinöhl
BACKGROUND: The impact of various post-procedural complications after transcatheter aortic valve implantation (TAVI) on resource use and their consequences in the German reimbursement system has still not been properly quantified. METHODS: In a retrospective observational study, we use data from the German DRG statistic on patient characteristics and in-hospital outcomes of all isolated TAVI procedures in 2013 (N = 9147). The impact of post-procedural complications on reimbursement, length of stay and mechanical ventilation was analyzed using both unadjusted and risk-adjusted linear and logistic regression analyses...
February 22, 2017: European Journal of Health Economics: HEPAC: Health Economics in Prevention and Care
https://www.readbyqxmd.com/read/28228569/no-evidence-of-beneficial-effects-of-plasmapheresis-in-natalizumab-associated-pml
#6
Doriana Landi, Nicola De Rossi, Sara Zagaglia, Cristina Scarpazza, Luca Prosperini, Maria Albanese, Fabio Buttari, Francesco Mori, Girolama Alessandra Marfia, Maria Pia Sormani, Ruggero Capra, Diego Centonze
OBJECTIVE: To examine retrospectively the effects of plasmapheresis (PLEX) on the survival and clinical outcomes of patients with multiple sclerosis (MS) and natalizumab (NTZ)-associated progressive multifocal leukoencephalopathy (PML). METHODS: The medical literature was searched for the terms natalizumab and progressive multifocal leukoencephalopathy. A total of 193 international and 34 Italian NTZ-PML cases were included. Clinical outcome was determined by comparing the patients' clinical status at PML diagnosis with status after PML resolution...
February 22, 2017: Neurology
https://www.readbyqxmd.com/read/28228426/probiotics-lactobacillus-gasseri-ks-13-bifidobacterium-bifidum-g9-1-and-bifidobacterium-longum-mm-2-improve-rhinoconjunctivitis-specific-quality-of-life-in-individuals-with-seasonal-allergies-a-double-blind-placebo-controlled-randomized-trial
#7
Jennifer C Dennis-Wall, Tyler Culpepper, Carmelo Nieves, Cassie C Rowe, Alyssa M Burns, Carley T Rusch, Ashton Federico, Maria Ukhanova, Sheldon Waugh, Volker Mai, Mary C Christman, Bobbi Langkamp-Henken
Background: Rhinoconjunctivitis-specific quality of life is often reduced during seasonal allergies. The Mini Rhinoconjunctivitis Quality of Life Questionnaire (MRQLQ) is a validated tool used to measure quality of life in people experiencing allergies (0 = not troubled to 6 = extremely troubled). Probiotics may improve quality of life during allergy season by increasing the percentage of regulatory T cells (Tregs) and inducing tolerance.Objective: The objective of this study was to determine whether consuming Lactobacillus gasseri KS-13, Bifidobacterium bifidum G9-1, and B...
February 22, 2017: American Journal of Clinical Nutrition
https://www.readbyqxmd.com/read/28227782/predicting-short-term-icu-outcomes-using-a-sequential-contrast-motif-based-classification-framework
#8
Shameek Ghosh, Hung Nguyen, Jinyan Li, Shameek Ghosh, Hung Nguyen, Jinyan Li, Shameek Ghosh, Hung Nguyen, Jinyan Li
Critical ICU events like acute hypotension and septic shock are dangerous complications, leading to multiple organ failures and eventual death. Previously, pattern mining algorithms have been employed for extracting interesting rules in various clinical domains. However, the extracted rules are directly investigated by clinicians for diagnosing a disease. Towards this purpose, there is a need to develop advanced prediction models which integrate dynamic patterns to learn a patient's physiological condition...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227698/predicting-brain-stimulation-treatment-outcomes-of-depressed-patients-through-the-classification-of-eeg-oscillations
#9
Alaa M Al-Kaysi, Ahmed Al-Ani, Colleen K Loo, Michael Breakspear, Tjeerd W Boonstra, Alaa M Al-Kaysi, Ahmed Al-Ani, Colleen K Loo, Michael Breakspear, Tjeerd W Boonstra, Michael Breakspear, Ahmed Al-Ani, Tjeerd W Boonstra, Colleen K Loo
Major depressive disorder (MDD) is a mental disorder that is characterized by negative thoughts, mood and behavior. Transcranial direct current stimulation (tDCS) has recently emerged as a promising brain-stimulation treatment for MDD. A standard tDCS treatment involves numerous sessions that run over a few weeks, however, not all participants respond to this type of treatment. This study aims to predict which patients improve in mood and cognition in response to tDCS treatment by analyzing electroencephalography (EEG) of MDD patients that was collected at the start of tDCS treatment...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227693/using-bioimpedance-spectroscopy-parameters-as-real-time-feedback-during-tdcs
#10
Isar Nejadgholi, Herschel Caytak, Miodrag Bolic, Isar Nejadgholi, Herschel Caytak, Miodrag Bolic, Isar Nejadgholi, Miodrag Bolic, Herschel Caytak
An exploratory analysis is carried out to investigate the feasibility of using BioImpedance Spectroscopy (BIS) parameters, measured on scalp, as real-time feedback during Transcranial Direct Current Stimulation (tDCS). TDCS is shown to be a potential treatment for neurological disorders. However, this technique is not considered as a reliable clinical treatment, due to the lack of a measurable indicator of treatment efficacy. Although the voltage that is applied on the head is very simple to measure during a tDCS session, changes of voltage are difficult to interpret in terms of variables that affect clinical outcome...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227337/prediction-of-the-outcome-in-cardiac-arrest-patients-undergoing-hypothermia-using-eeg-wavelet-entropy
#11
Hana Moshirvaziri, Nima Ramezan-Arab, Shadnaz Asgari, Hana Moshirvaziri, Nima Ramezan-Arab, Shadnaz Asgari, Hana Moshirvaziri, Nima Ramezan-Arab, Shadnaz Asgari
Cardiac arrest (CA) is the leading cause of death in the United States. Induction of hypothermia has been found to improve the functional recovery of CA patients after resuscitation. However, there is no clear guideline for the clinicians yet to determine the prognosis of the CA when patients are treated with hypothermia. The present work aimed at the development of a prognostic marker for the CA patients undergoing hypothermia. A quantitative measure of the complexity of Electroencephalogram (EEG) signals, called wavelet sub-band entropy, was employed to predict the patients' outcomes...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227181/co-activation-of-saphenous-nerve-fibers-a-potential-therapeutic-mechanism-of-percutaneous-tibial-nerve-stimulation
#12
Christopher W Elder, Paul B Yoo, Christopher W Elder, Paul B Yoo, Paul B Yoo, Christopher W Elder
Percutaneous tibial nerve stimulation (PTNS) is a minimally invasive and effective treatment for overactive bladder (OAB). However, clinical trials show that positive therapeutic outcomes among patients are difficult to predict (failure rate = 35% to 50%). Inconsistencies in the stimulation amplitudes used clinically and those used in preclinical animal studies led us to hypothesize that OAB therapy involves a secondary bladder-inhibitory pathway. In this paper, we implemented and tested a computer model of the human lower leg that investigated the differential activation of the saphenous nerve (SAFN) and tibial nerve (TN) during percutaneous electrical stimulation...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227053/the-effects-of-deep-network-topology-on-mortality-prediction
#13
Hao Du, Mohammad M Ghassemi, Mengling Feng, Hao Du, Mohammad M Ghassemi, Mengling Feng, Mengling Feng, Hao Du, Mohammad M Ghassemi
Deep learning has achieved remarkable results in the areas of computer vision, speech recognition, natural language processing and most recently, even playing Go. The application of deep-learning to problems in healthcare, however, has gained attention only in recent years, and it's ultimate place at the bedside remains a topic of skeptical discussion. While there is a growing academic interest in the application of Machine Learning (ML) techniques to clinical problems, many in the clinical community see little incentive to upgrade from simpler methods, such as logistic regression, to deep learning...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227033/advanced-analytics-for-outcome-prediction-in-intensive-care-units
#14
Ali Jalali, Dieter Bender, Mohamed Rehman, Vinay Nadkanri, C Nataraj, Ali Jalali, Dieter Bender, Mohamed Rehman, Vinay Nadkanri, C Nataraj, Mohamed Rehman, Ali Jalali, Vinay Nadkanri, Dieter Bender, C Nataraj
In this paper we present a new expert knowledge based clinical decision support system for prediction of intensive care units outcome based on the physiological measurements collected during the first 48 hours of the patient's admission to the ICU. The developed CDSS algorithm is composed of several stages. First, we categorize the collected data based on the physiological organ that they represent. We then extract clinically relevant features from each data category and then rank these features based on their mutual information with the outcome...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28227032/a-statistical-model-for-stroke-outcome-prediction-and-treatment-planning
#15
Abhishek Sengupta, Vaibhav Rajan, Sakyajit Bhattacharya, G R K Sarma, Abhishek Sengupta, Vaibhav Rajan, Sakyajit Bhattacharya, G R K Sarma, Abhishek Sengupta, Grk Sarma, Vaibhav Rajan, Sakyajit Bhattacharya
Stroke is a major cause of mortality and long-term disability in the world. Predictive outcome models in stroke are valuable for personalized treatment, rehabilitation planning and in controlled clinical trials. We design a new multi-class classification model to predict outcome in the short-term, the putative therapeutic window for several treatments. Our model addresses the challenges of class imbalance, where the training data is dominated by samples of a single class, and highly correlated predictor and outcome variables, which makes learning the effects of treatments on the outcome difficult...
August 2016: Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
https://www.readbyqxmd.com/read/28226408/which-regional-pain-rating-best-predicts-patient-reported-improvement-in-lumbar-radiculopathy
#16
Mark C Bicket, Paul F Pasquina, Steven P Cohen
OBJECTIVE: To determine the best regional pain score cutoff value that corresponds with patient-reported improvement in lumbosacral radiculopathy (LSR). DESIGN: Retrospective pooled data analysis from 3 randomized, controlled, multicenter trials using similar outcome assessments. All participants were exposed to interventions (epidural injections). SETTING: Military medical centers (6 U.S.A., 1 Germany) and large tertiary care hospitals (4 urban, 1 Veterans Affairs) between 2008 and 2014...
February 22, 2017: Pain Practice: the Official Journal of World Institute of Pain
https://www.readbyqxmd.com/read/28226274/mortality-morbidity-and-refractoriness-prediction-in-status-epilepticus-comparison-of-stess-and-emse-scores
#17
Giada Giovannini, Giulia Monti, Manuela Tondelli, Andrea Marudi, Franco Valzania, Markus Leitinger, Eugen Trinka, Stefano Meletti
PURPOSE: Status epilepticus (SE) is a neurological emergency, characterized by high short-term morbidity and mortality. We evaluated and compared two scores that have been developed to evaluate status epilepticus prognosis: STESS (Status Epilepticus Severity Score) and EMSE (Epidemiology based Mortality score in Status Epilepticus). METHODS: A prospective observational study was performed on consecutive patients with SE admitted between September 2013 and August 2015...
February 7, 2017: Seizure: the Journal of the British Epilepsy Association
https://www.readbyqxmd.com/read/28225772/symptomatic-spinal-metastasis-a-systematic-literature-review-of-the-preoperative-prognostic-factors-for-survival-neurological-functional-and-quality-of-life-in-surgically-treated-patients-and-methodological-recommendations-for-prognostic-studies
#18
Anick Nater, Allan R Martin, Arjun Sahgal, David Choi, Michael G Fehlings
PURPOSE: While several clinical prediction rules (CPRs) of survival exist for patients with symptomatic spinal metastasis (SSM), these have variable prognostic ability and there is no recognized CPR for health related quality of life (HRQoL). We undertook a critical appraisal of the literature to identify key preoperative prognostic factors of clinical outcomes in patients with SSM who were treated surgically. The results of this study could be used to modify existing or develop new CPRs...
2017: PloS One
https://www.readbyqxmd.com/read/28225575/25-hydroxy-vitamin-d-suppresses-hepatitis-c-virus-replication-and-contributes-to-rapid-virological-response-of-treatment-efficacy
#19
Jee-Fu Huang, Yu-Min Ko, Chung-Feng Huang, Ming-Lun Yeh, Chia-Yen Dai, Meng-Hsuan Hsieh, Ching-I Huang, Hua-Ling Yang, Shu-Chi Wang, Zu-Yau Lin, Shinn-Chern Chen, Ming-Lung Yu, Wan-Long Chuang
AIM: 25-hydroxy vitamin D (Vit D) plays a role in treatment outcomes in chronic hepatitis C virus (HCV) infection (CHC). We aimed to clarify HCV replication is inhibited by Vit D in HCV replicon cells. Clinical implication was assessed for rapid virological response (RVR) and sustained virological response (SVR) among those patients receiving anti-viral therapy. METHODS: Cell survival and viral loads were observed in Con1 (genotype-1b) and J6/JFH (genotype-2a) cells treated with different doses of Vit D...
February 22, 2017: Hepatology Research: the Official Journal of the Japan Society of Hepatology
https://www.readbyqxmd.com/read/28225443/bringing-big-data-to-the-forefront-of-healthcare-delivery-the-experience-of-carolinas-healthcare-system
#20
Michael F Dulin, Carol A Lovin, Jean A Wright
The use of big data to transform care delivery is rapidly becoming a reality. To deliver on the promise of value-based care, providers must know the key drivers of wellness at the patient and community levels, as well as understand resource constraints and opportunities to improve efficiency in the health-care system itself. Data are the linchpin. By gathering the right data and finding innovative ways to glean knowledge, we can improve clinical care, advance the health of our communities, improve the lives of our patients, and operate more efficiently...
January 2017: Frontiers of Health Services Management
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