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Laboratory data prediction models

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https://www.readbyqxmd.com/read/29769027/immune-monitoring-after-pediatric-liver-transplantation-the-prospective-chilsfree-cohort-study
#1
Imeke Goldschmidt, André Karch, Rafael Mikolajczyk, Frauke Mutschler, Norman Junge, Eva Doreen Pfister, Tamara Möhring, Lorenzo d'Antiga, Patrick McKiernan, Deirdre Kelly, Dominique Debray, Valérie McLin, Joanna Pawlowska, Loreto Hierro, Kerstin Daemen, Jana Keil, Christine Falk, Ulrich Baumann
BACKGROUND: Although trough levels of immunosuppressive drugs are largely used to monitor immunosuppressive therapy after solid organ transplantation, there is still no established tool that allows for a validated assessment of functional degree of immunosuppression or the identification of clinically relevant over- or under-immunosuppression, depending on graft homeostasis. Reliable non-invasive markers to predict biopsy proven acute rejection (BPAR) do not exist. Literature data suggest that longitudinal measurements of immune markers might be predictive of BPAR, but data in children are scarce...
May 16, 2018: BMC Gastroenterology
https://www.readbyqxmd.com/read/29767801/reliability-of-in-vitro-methods-used-to-measure-intrinsic-clearance-of-hydrophobic-organic-chemicals-by-rainbow-trout-results-of-an-international-ring-trial
#2
John Nichols, Kellie Fay, Mary Jo Bernhard, Ina Bischof, John Davis, Marlies Halder, Jing Hu, Karla Johanning, Heike Laue, Diane Nabb, Christian Schlechtriem, Helmut Segner, Joe Swintek, John Weeks, Michelle Embry
In vitro assays are widely employed to obtain intrinsic clearance estimates used in toxicokinetic modeling efforts. However, the reliability of these methods is seldom reported. Here we describe the results of an international ring trial designed to evaluate two in vitro assays used to measure intrinsic clearance in rainbow trout. An important application of these assays is to predict the effect of biotransformation on chemical bioaccumulation. Six laboratories performed substrate depletion experiments with cyclohexyl salicylate, fenthion, 4-n-nonylphenol, deltamethrin, methoxychlor, and pyrene using cryopreserved hepatocytes and liver S9 fractions from trout...
May 14, 2018: Toxicological Sciences: An Official Journal of the Society of Toxicology
https://www.readbyqxmd.com/read/29766125/trauma-early-mortality-prediction-tool-tempt-for-assessing-28-day-mortality
#3
Ryan C Kunitake, Lucy Z Kornblith, Mitchell Jay Cohen, Rachael A Callcut
Background: Prior mortality prediction models have incorporated severity of anatomic injury quantified by Abbreviated Injury Severity Score (AIS). Using a prospective cohort, a new score independent of AIS was developed using clinical and laboratory markers present on emergency department presentation to predict 28-day mortality. Methods: All patients (n=1427) enrolled in an ongoing prospective cohort study were included. Demographic, laboratory, and clinical data were recorded on admission...
2018: Trauma surgery & acute care open
https://www.readbyqxmd.com/read/29761858/predictive-impact-of-the-inflammation-based-indices-in-colorectal-cancer-patients-with-adjuvant-chemotherapy
#4
Yong Tao, Lei Ding, Guan Gen Yang, Jian Ming Qiu, Dong Wang, Hongtao Wang, Chao Fu
Increasing evidences reported that cancer-triggered inflammation was associated with survival prognosis from colorectal cancer (CRC). However, the comprehensive effects of inflammatory-based coNLR-PLR that combines neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) rarely remain to be determined during chemotherapy. We retrospectively analyzed clinical data and baseline laboratory parameters from 153 colorectal cancer patients who underwent palliative adjuvant chemotherapy between January 2009 to January 2012...
May 15, 2018: Cancer Medicine
https://www.readbyqxmd.com/read/29757011/thermal-inactivation-of-shiga-toxin-producing-escherichia-coli-in-ground-beef-with-varying-fat-content
#5
Jagpinder S Brar, Jolena N Waddell, Matthew Bailey, Sydney Corkran, Carmen Velasquez, Vijay K Juneja, Manpreet Singh
Decimal reduction time ( D-value) was calculated for six non-O157 Shiga toxin-producing Escherichia coli (STEC) in a laboratory medium and ground beef. For the laboratory medium, an overnight culture of each strain of STEC was divided into 10-mL sample bags and heated in a water bath for a specific time on the basis of the temperatures. Survival curves were generated by plotting the surviving bacterial population against time, and a linear-log primary model was used to estimate the D-values from survival curves...
May 14, 2018: Journal of Food Protection
https://www.readbyqxmd.com/read/29753163/baseline-renal-function-and-albumin-are-powerful-predictors-for-allogeneic-transplantation-related-mortality
#6
Roni Shouval, Cornelis N de Jong, Joshua Fein, Annoek E C Broers, Ivetta Danylesko, Avichai Shimoni, Marloes R Reurs, Adája E Baars, Niels van der Schaft, Arnon Nagler, Jan J Cornelissen
RATIONALE: Biomarkers measured in blood chemistry before allogeneic hematopoietic stem cell transplantation (HSCT) may reflect patients' physiological status. We hypothesized that selected markers are predictive for non-relapse mortality (NRM) following transplantation and could contribute to risk assessment. PATIENTS AND METHODS: We investigated the value of pre-HSCT albumin, estimated glomerular filtration rate (eGFR) and alkaline phosphatase (AlkP) in predicting NRM...
May 9, 2018: Biology of Blood and Marrow Transplantation
https://www.readbyqxmd.com/read/29750681/predischarge-and-postdischarge-risk-factors-for-hospital-readmission-among-patients-with-diabetes
#7
Abhijana Karunakaran, Huaqing Zhao, Daniel J Rubin
BACKGROUND: Hospital readmission within 30 days of discharge (30-d readmission) is an undesirable outcome. Readmission of patients with diabetes is common and costly. Most of the studies that have examined readmission risk factors among diabetes patients did not include potentially important clinical data. OBJECTIVES: To provide a more comprehensive understanding of 30-day readmission risk factors among patients with diabetes based on predischarge and postdischarge data...
May 10, 2018: Medical Care
https://www.readbyqxmd.com/read/29745603/-research-on-kalman-interpolation-prediction-model-based-on-micro-region-pm2-5-concentration
#8
Wei Wang, Bin Zheng, Binlin Chen, Yaoming An, Xiaoming Jiang, Zhangyong Li
In recent years, the pollution problem of particulate matter, especially PM2.5, is becoming more and more serious, which has attracted many people's attention from all over the world. In this paper, a Kalman prediction model combined with cubic spline interpolation is proposed, which is applied to predict the concentration of PM2.5 in the micro-regional environment of campus, and to realize interpolation simulation diagram of concentration of PM2.5 and simulate the spatial distribution of PM2.5. The experiment data are based on the environmental information monitoring system which has been set up by our laboratory...
February 1, 2018: Sheng Wu Yi Xue Gong Cheng Xue za Zhi, Journal of Biomedical Engineering, Shengwu Yixue Gongchengxue Zazhi
https://www.readbyqxmd.com/read/29739368/impact-of-early-changes-in-serum-biomarkers-following-androgen-deprivation-therapy-on-clinical-outcomes-in-metastatic-hormone-sensitive-prostate-cancer
#9
Hiromi Sato, Shintaro Narita, Norihiko Tsuchiya, Atsushi Koizumi, Taketoshi Nara, Sohei Kanda, Kazuyuki Numakura, Hiroshi Tsuruta, Atsushi Maeno, Mitsuru Saito, Takamitsu Inoue, Shigeru Satoh, Kyoko Nomura, Tomonori Habuchi
BACKGROUND: Less evidence is known about the role of early changes in serum biomarker after androgen deprivation therapy (ADT) in patients with metastatic hormone-sensitive prostate cancer (mHSPC). Here we evaluated the impact of pre-treatment prognostic factors and early changes in serum biomarkers on prostate specific antigen (PSA) progression-free and overall survival rates in mHSPC. METHODS: We retrospectively reviewed the medical records of 60 mHSPC patients (median age 72 years) treated with ADT whose laboratory data at baseline and following 12 weeks were available...
May 8, 2018: BMC Urology
https://www.readbyqxmd.com/read/29738670/beta-bond-scission-and-the-yields-of-h-and-ch-3-in-the-decomposition-of-isobutyl-radicals
#10
Laura A Mertens, Jeffrey A Manion
The relative rates of C-C and C-H β-scission reactions of isobutyl radicals (2-methylpropan-1-yl, C4 H9 ) were investigated with shock tube experiments at temperatures of (950 to 1250) K and pressures of (200 to 400) kPa. We produced isobutyl radicals from the decomposition of dilute mixtures of isopentylbenzene and observed the stable decomposition products, propene and isobutene. These alkenes are characteristic of C-C and C-H bond scission, respectively. Propene was the main product, approximately 30 times more abundant than isobutene, indicating that C-C β-scission is the primary pathway...
May 8, 2018: Journal of Physical Chemistry. A
https://www.readbyqxmd.com/read/29736867/development-of-a-simplified-multivariable-model-to-predict-neutropenic-complications-in-cancer-patients-undergoing-chemotherapy
#11
Abolfazl Razzaghdoust, Bahram Mofid, Maryam Moghadam
PURPOSE: Neutropenic complications remain the major dose-limiting toxicities of cancer chemotherapy. The aim of this study was to develop and internally validate a comprehensive and easily measurable scoring system for prediction of severe or febrile neutropenia in the first chemotherapy cycle of patients with solid tumors or lymphoma. METHODS: This prospective cohort study included consecutive patients at a tertiary referral hospital. Many clinical and laboratory-independent variables were measured at baseline...
May 7, 2018: Supportive Care in Cancer: Official Journal of the Multinational Association of Supportive Care in Cancer
https://www.readbyqxmd.com/read/29729958/neural-markers-of-memory-consolidation-do-not-predict-temporal-estimates-of-encoded-items
#12
Atser Damsma, Robbert van der Mijn, Hedderik van Rijn
In contrast to the paradigms used in most laboratory experiments on interval timing, everyday tasks often involve tracking multiple, concurrent intervals without an explicit starting signal. As these characteristics are problematic for most existing clock-based models of interval timing, here we explore an alternative notion that suggests that time perception and working memory encoding might be closely connected. In this integrative model, the consolidation of a new item in working memory initiates cortical oscillations that also signal the onset of a time interval...
May 3, 2018: Neuropsychologia
https://www.readbyqxmd.com/read/29729924/identifying-poor-metabolic-adaptation-during-early-lactation-in-dairy-cows-using-cluster-analysis
#13
M Tremblay, M Kammer, H Lange, S Plattner, C Baumgartner, J A Stegeman, J Duda, R Mansfeld, D Döpfer
Currently, cows with poor metabolic adaptation during early lactation, or poor metabolic adaptation syndrome (PMAS), are often identified based on detection of hyperketonemia. Unfortunately, elevated blood ketones do not manifest consistently with indications of PMAS. Expected indicators of PMAS include elevated liver enzymes and bilirubin, decreased rumen fill, reduced rumen contractions, and a decrease in milk production. Cows with PMAS typically are higher producing, older cows that are earlier in lactation and have greater body condition score at the start of lactation...
May 2, 2018: Journal of Dairy Science
https://www.readbyqxmd.com/read/29729033/petroleum-hydrocarbon-mixture-toxicity-and-a-trait-based-approach-to-soil-invertebrate-species-for-site-specific-risk-assessments
#14
Amy Gainer, Mark Cousins, Natacha Hogan, Steven D Siciliano
Although petroleum hydrocarbons (PHCs) released to the environment typically occur as mixtures, PHC remediation guidelines often reflect individual substance toxicity. It is well documented that groups of aliphatic PHCs act via the same mechanism of action, nonpolar narcosis and, theoretically, concentration addition mixture toxicity principles apply. To assess this theory, ten standardized acute and chronic soil invertebrate toxicity tests on a range of organisms (Eisenia fetida, Lumbricus terrestris, Enchytraeus crypticus, Folsomia candida, Oppia nitens and Hypoaspis aculeifer) were conducted with a refined PHC binary mixture...
May 5, 2018: Environmental Toxicology and Chemistry
https://www.readbyqxmd.com/read/29726428/effect-of-nursing-assessment-on-predictive-delirium-models-in-hospitalised-patients
#15
Sai P K Veeranki, Dieter Hayn, Diether Kramer, Stefanie Jauk, Günter Schreier
Delirium is an acute neuropsychiatric syndrome which is common in elderly patients during their hospitalisation and is associated with an increased mortality and morbidity. Since delirium is a) often underdiagnosed and b) preventable if early signs are detected,igh expectations are set in delirium risk assessment during hospital admission. In our latest studies, we showed that delirium prediction using machine learning algorithms is possible based on the patients' health history. The aim of this study is to compare the influence of nursing assessment data on prediction models with clinical and demographic data...
2018: Studies in Health Technology and Informatics
https://www.readbyqxmd.com/read/29716256/a-comparison-of-three-geoacoustic-models-using-bayesian-inversion-and-selection-techniques-applied-to-wave-speed-and-attenuation-measurements
#16
Anthony L Bonomo, Marcia J Isakson
Many geoacoustic models have been developed to study sandy sediments. In this work, Bayesian inference techniques are used to compare three such models: the VGS(λ) model, the most recent of Buckingham's viscous grain-shearing models, the Biot-Stoll poroelastic model, and an extension to the Biot-Stoll model proposed by Chotiros called the corrected and reparametrized extended Biot (CREB) model. First, Bayesian inversion is applied to wave speed and attenuation measurements previously made in the laboratory to determine the degree to which each of the model input parameters can be resolved by wave speed and attenuation data...
April 2018: Journal of the Acoustical Society of America
https://www.readbyqxmd.com/read/29712648/biases-in-electronic-health-record-data-due-to-processes-within-the-healthcare-system-retrospective-observational-study
#17
Denis Agniel, Isaac S Kohane, Griffin M Weber
OBJECTIVE: To evaluate on a large scale, across 272 common types of laboratory tests, the impact of healthcare processes on the predictive value of electronic health record (EHR) data. DESIGN: Retrospective observational study. SETTING: Two large hospitals in Boston, Massachusetts, with inpatient, emergency, and ambulatory care. PARTICIPANTS: All 669 452 patients treated at the two hospitals over one year between 2005 and 2006...
April 30, 2018: BMJ: British Medical Journal
https://www.readbyqxmd.com/read/29712623/an-early-model-for-value-and-sustainability-in-health-information-exchanges-qualitative-study
#18
Sue S Feldman
BACKGROUND: The primary value relative to health information exchange has been seen in terms of cost savings relative to laboratory and radiology testing, emergency department expenditures, and admissions. However, models are needed to statistically quantify value and sustainability and better understand the dependent and mediating factors that contribute to value and sustainability. OBJECTIVE: The purpose of this study was to provide a basis for early model development for health information exchange value and sustainability...
April 30, 2018: JMIR Medical Informatics
https://www.readbyqxmd.com/read/29710324/development-and-validation-of-a-calculator-for-estimating-the-probability-of-urinary-tract-infection-in-young-febrile-children
#19
Nader Shaikh, Alejandro Hoberman, Stephanie W Hum, Anastasia Alberty, Gysella Muniz, Marcia Kurs-Lasky, Douglas Landsittel, Timothy Shope
Importance: Accurately estimating the probability of urinary tract infection (UTI) in febrile preverbal children is necessary to appropriately target testing and treatment. Objective: To develop and test a calculator (UTICalc) that can first estimate the probability of UTI based on clinical variables and then update that probability based on laboratory results. Design, Setting, and Participants: Review of electronic medical records of febrile children aged 2 to 23 months who were brought to the emergency department of Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania...
April 16, 2018: JAMA Pediatrics
https://www.readbyqxmd.com/read/29706685/quantifying-predictive-capability-of-electronic-health-records-for-the-most-harmful-breast-cancer
#20
Yirong Wu, Jun Fan, Peggy Peissig, Richard Berg, Ahmad Pahlavan Tafti, Jie Yin, Ming Yuan, David Page, Jennifer Cox, Elizabeth S Burnside
Improved prediction of the "most harmful" breast cancers that cause the most substantive morbidity and mortality would enable physicians to target more intense screening and preventive measures at those women who have the highest risk; however, such prediction models for the "most harmful" breast cancers have rarely been developed. Electronic health records (EHRs) represent an underused data source that has great research and clinical potential. Our goal was to quantify the value of EHR variables in the "most harmful" breast cancer risk prediction...
February 2018: Proceedings of SPIE
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