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Healthcare predictive modeling

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https://www.readbyqxmd.com/read/27910111/cystatin-c-and-epicardial-adipose-tissue-as-noninvasive-predictors-of-cardiovascular-risk-in-acromegaly
#1
Anna Aulinas, Iris Crespo, David Viladés, Ruben Leta, Eulàlia Urgell, Betina Biagetti, Susan M Webb, Elena Valassi
BACKGROUND: Acromegaly (ACRO) is associated with elevated cardiovascular risk, although the prevalence of coronary artery disease (CAD) is unclear. Increased epicardial adipose tissue (EAT) and elevated cystatin-C (Cys-C) levels are cardiovascular risk factors, also related to the progression of CAD in several populations. AIMS: To measure the severity and extent of CAD in patients with ACRO and to determine whether either EAT or Cys-C reflect higher cardiovascular risk in patients with ACRO than in healthy controls...
November 7, 2016: Clinical Endocrinology
https://www.readbyqxmd.com/read/27909039/algorithm-for-predicting-death-among-older-adults-in-the-home-care-setting-study-protocol-for-the-risk-evaluation-for-support-predictions-for-elder-life-in-the-community-tool-respect
#2
Amy T Hsu, Douglas G Manuel, Monica Taljaard, Mathieu Chalifoux, Carol Bennett, Andrew P Costa, Susan Bronskill, Daniel Kobewka, Peter Tanuseputro
INTRODUCTION: Older adults living in the community often have multiple, chronic conditions and functional impairments. A challenge for healthcare providers working in the community is the lack of a predictive tool that can be applied to the broad spectrum of mortality risks observed and may be used to inform care planning. OBJECTIVE: To predict survival time for older adults in the home care setting. The final mortality risk algorithm will be implemented as a web-based calculator that can be used by older adults needing care and by their caregivers...
December 1, 2016: BMJ Open
https://www.readbyqxmd.com/read/27907168/are-urinary-tubular-injury-markers-useful-in-chronic-kidney-disease-a-systematic-review-and-meta-analysis
#3
Le-Ting Zhou, Lin-Li Lv, Ming-Ming Pan, Yu-Han Cao, Hong Liu, Ye Feng, Hai-Feng Ni, Bi-Cheng Liu
BACKGROUND: Adverse outcome of chronic kidney disease, such as end stage renal disease, is a significant burden on personal health and healthcare costs. Urinary tubular injury markers, such as NGAL, KIM-1 and NAG, could provide useful prognostic value for the early identification of high-risk patients. However, discrepancies between recent large prospective studies have resulted in controversy regarding the potential clinical value of these markers. Therefore, we conducted the first meta-analysis to provide a more persuasive argument to this debate...
2016: PloS One
https://www.readbyqxmd.com/read/27906969/the-predictive-role-of-red-cell-distribution-width-in-mortality-among-chronic-kidney-disease-patients
#4
Yao-Peng Hsieh, Chia-Chu Chang, Chew-Teng Kor, Yu Yang, Yao-Ko Wen, Ping-Fang Chiu
BACKGROUND: Recently, accumulating evidence has demonstrated that RDW independently predicts clinically important outcomes in many populations. However, the role of RDW has not been elucidated in chronic kidney disease (CKD) patients. We conducted the present study with the aim to evaluate the predictive value of RDW in CKD patients. METHODS: A retrospective observational cohort study of 1075 stage 3-5 CKD patients was conducted in a medical center. The patients' baseline information included demographic data, laboratory values, medications, and comorbid conditions...
2016: PloS One
https://www.readbyqxmd.com/read/27904029/coronary-artery-calcium-and-carotid-artery-intima-media-thickness-and-plaque-clinical-use-in-need-of-clarification
#5
Maryam Zaid, Akira Fujiyoshi, Aya Kadota, Robert D Abbott, Katsuyuki Miura
Atherosclerosis begins in early life and has a long latent period prior to onset of clinical disease. Measures of subclinical atherosclerosis, therefore, may have important implications for research and clinical practice of atherosclerotic cardiovascular disease (ASCVD). In this review, we focus on coronary artery calcium (CAC) and carotid artery intima-media thickness (cIMT) and plaque as many population-based studies have investigated these measures due to their non-invasive features and ease of administration...
December 1, 2016: Journal of Atherosclerosis and Thrombosis
https://www.readbyqxmd.com/read/27896982/predictive-modeling-of-hospital-readmission-rates-using-electronic-medical-record-wide-machine-learning-a-case-study-using-mount-sinai-heart-failure-cohort
#6
Khader Shameer, Kipp W Johnson, Alexandre Yahi, Riccardo Miotto, L I Li, Doran Ricks, Jebakumar Jebakaran, Patricia Kovatch, Partho P Sengupta, Sengupta Gelijns, Alan Moskovitz, Bruce Darrow, David L David, Andrew Kasarskis, Nicholas P Tatonetti, Sean Pinney, Joel T Dudley
Reduction of preventable hospital readmissions that result from chronic or acute conditions like stroke, heart failure, myocardial infarction and pneumonia remains a significant challenge for improving the outcomes and decreasing the cost of healthcare delivery in the United States. Patient readmission rates are relatively high for conditions like heart failure (HF) despite the implementation of high-quality healthcare delivery operation guidelines created by regulatory authorities. Multiple predictive models are currently available to evaluate potential 30-day readmission rates of patients...
2016: Pacific Symposium on Biocomputing
https://www.readbyqxmd.com/read/27889399/a-natural-language-processing-based-model-to-automate-mri-brain-protocol-selection-and-prioritization
#7
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/27878711/a-framework-for-guiding-efforts-to-reward-value-instead-of-volume
#8
Taylor J Christensen
The U.S. healthcare system is in the midst of a major shift from fee-for-service to value-based reimbursement models. To date, these new reimbursement models have been focused on quality-contingent bonuses and cost-of-care risk sharing for providers, both of which have yielded only modest success.An analysis of health policy and business strategy literature was performed to identify the mechanisms of how value is rewarded in other industries and to understand the barriers to those mechanisms operating in the healthcare industry...
June 2016: Int J Health Econ Manag
https://www.readbyqxmd.com/read/27877145/daily-negative-work-events-and-employees-physiological-and-psychological-reactions
#9
Judith Volmer, Andrea Fritsche
Scholars have accumulated an abundant amount of knowledge on the association between work stressors and employees' health and well-being. However, notions of the complex interplay of physiological and psychological components of stress reactions are still in their infancy. Building on the Allostatic Load (AL) model, the present study considers short-term within-person effects of negative work events (NWEs) on indicators of both physiological (i.e., salivary cortisol) and psychological distress responses (i...
2016: Frontiers in Psychology
https://www.readbyqxmd.com/read/27876588/predicting-subsequent-high-frequency-low-acuity-utilization-of-the-pediatric-emergency-department
#10
Margaret E Samuels-Kalow, Matthew W Bryan, Kathy N Shaw
OBJECTIVE: To derive and test a predictive model for high-frequency (>= four visits/year), low-acuity (Emergency Severity Index 4 or 5) utilization of the pediatric emergency department. METHODS: The study sample used three years of data (2012-14) from a single tertiary care children's hospital for patients <21 years of age. Utilization in 2013 defined the index visit; prior utilization was drawn from 2012; and 2014 was used for outcome measurement. Candidate predictor variables were those that would be available at the time of triage...
November 19, 2016: Academic Pediatrics
https://www.readbyqxmd.com/read/27870545/does-medicare-advantage-enrollment-affect-home-healthcare-use
#11
Daniel A Waxman, Lillian Min, Claude M Setodji, Mark Hanson, Neil S Wenger, David A Ganz
OBJECTIVES: To compare home health utilization and clinical outcomes between Medicare beneficiaries in the fee-for-service (FFS) and Medicare Advantage (MA) programs, and to compare regional variation. STUDY DESIGN: We used the 2010 and 2011 Outcome and Assessment Information Set to identify all home health episodes begun in 2010 and to measure 7 clinical home health outcomes that are defined by CMS for public reporting. METHODS: We modeled the probability of home health use, the duration of home health episodes, and each clinical outcome measure as a function of MA versus FFS enrollment and model-specific risk adjustors...
November 2016: American Journal of Managed Care
https://www.readbyqxmd.com/read/27866734/comparing-variability-severity-and-persistence-of-depressive-symptoms-as-predictors-of-future-stroke-risk
#12
Laura B Zahodne, Paola Gilsanz, M Maria Glymour, Laura E Gibbons, Paul Brewster, Jamie Hamilton, Jesse Mez, Jessica R Marden, Kwangsik Nho, Eric B Larson, Paul K Crane, Alden L Gross
OBJECTIVE: Numerous studies show that depressive symptoms measured at a single assessment predict greater future stroke risk. Longer-term symptom patterns, such as variability across repeated measures or worst symptom level, might better reflect adverse aspects of depression than a single measurement. This prospective study compared five approaches to operationalizing depressive symptoms at annual assessments as predictors of stroke incidence. DESIGN: Cohort followed for incident stroke over an average of 6...
October 24, 2016: American Journal of Geriatric Psychiatry
https://www.readbyqxmd.com/read/27855970/-take-the-volume-pledge-may-result-in-disparity-in-access-to-care
#13
Barbara A Blanco, Anai N Kothari, Robert H Blackwell, Sarah A Brownlee, Ryan M Yau, John P Attisha, Yoshiki Ezure, Sam Pappas, Paul C Kuo, Gerard J Abood
BACKGROUND: "Take the Volume Pledge" proposes restricting pancreatectomies to hospitals that perform ≥20 per year. Our purpose was to identify those factors that characterize patients at risk for loss of access to pancreatic cancer care with enforcement of volume standards. METHODS: Using the Healthcare Cost and Utilization Project State Inpatient Database from Florida, we identified patients who underwent pancreatectomy for pancreatic malignancy from 2007-2011...
November 14, 2016: Surgery
https://www.readbyqxmd.com/read/27855285/computational-drug-treatment-simulations-on-projections-of-dysregulated-protein-networks-derived-from-the-myelodysplastic-mutanome-match-clinical-response-in-patients
#14
Leylah Drusbosky, Cindy Medina, Regina Martuscello, Kimberly E Hawkins, Myron Chang, Jatinder K Lamba, Shireen Vali, Ansu Kumar, Neeraj Kumar Singh, Taher Abbasi, Mikkael A Sekeres, Mar Mallo, Francesc Sole, Rafael Bejar, Christopher R Cogle
Although the majority of MDS patients fail to achieve clinical improvement to approved therapies, some patients benefit from treatment. Predicting patient response prior to therapy would improve treatment effectiveness, avoid treatment-related adverse events and reduce healthcare costs. Three separate cohorts of MDS patients were used to simulate drug response to lenalidomide alone, hypomethylating agent (HMA) alone, or HMA plus lenalidomide. Utilizing a computational biology program, genomic abnormalities in each patient were used to create an intracellular pathway map that was then used to screen for drug response...
November 6, 2016: Leukemia Research
https://www.readbyqxmd.com/read/27836812/pain-severity-in-relation-to-the-final-menstrual-period-in-a-prospective-multiethnic-observational-cohort-results-from-the-study-of-women-s-health-across-the-nation-swan
#15
Yvonne C Lee, Arun S Karlamangla, Zhi Yu, Chih-Chin Liu, Joel S Finkelstein, Gail A Greendale, Siobán D Harlow, Daniel H Solomon
: The development of pain is common in midlife, resulting in increased healthcare utilization and costs. The aim of this study was to determine the longitudinal trajectory of overall bodily pain among women during the transition between the reproductive years and menopause. We conducted analyses on a community-based, longitudinal cohort of women enrolled in the Study of Women's Health Across the Nation. One thousand four hundred and ninety-five women met inclusion criteria, including: 1) defined date of the final menstrual period (FMP) and 2) complete data on SF-36 bodily pain...
November 8, 2016: Journal of Pain: Official Journal of the American Pain Society
https://www.readbyqxmd.com/read/27831546/diurnal-variations-of-short-term-variation-and-the-impact-of-multiple-recordings-on-measurement-accuracy
#16
G Seliger, D Petroff, S Seeger, D Hoyer, M Tchirikov, U Schneider
OBJECTIVE: Short-term variation (STV) from computerized cardiotocogram heart rate analysis is a parameter that complements decision making, regarding the delivery of fetuses in several high-risk situations. Although studies on the effects of gestational age and fetal pathology are convincing, there is a lack of data exploring diurnal variation and the adequacy of a single measurement. STUDY DESIGN: In this prospective observational study, fetal STV was monitored with the AN24 fetal ECG monitor (Monica Healthcare) each hour for at least 10 h in total, beginning at different times...
November 10, 2016: Journal of Perinatology: Official Journal of the California Perinatal Association
https://www.readbyqxmd.com/read/27830962/development-and-validation-of-a-prediction-model-for-long-term-sickness-absence-based-on-occupational-health-survey-variables
#17
Corné Roelen, Sannie Thorsen, Martijn Heymans, Jos Twisk, Ute Bültmann, Jakob Bjørner
PURPOSE: The purpose of this study is to develop and validate a prediction model for identifying employees at increased risk of long-term sickness absence (LTSA), by using variables commonly measured in occupational health surveys. MATERIALS AND METHODS: Based on the literature, 15 predictor variables were retrieved from the DAnish National working Environment Survey (DANES) and included in a model predicting incident LTSA (≥4 consecutive weeks) during 1-year follow-up in a sample of 4000 DANES participants...
November 10, 2016: Disability and Rehabilitation
https://www.readbyqxmd.com/read/27830255/aspiring-to-unintended-consequences-of-natural-language-processing-a-review-of-recent-developments-in-clinical-and-consumer-generated-text-processing
#18
D Demner-Fushman, N Elhadad
OBJECTIVES: This paper reviews work over the past two years in Natural Language Processing (NLP) applied to clinical and consumer-generated texts. METHODS: We included any application or methodological publication that leverages text to facilitate healthcare and address the health-related needs of consumers and populations. RESULTS: Many important developments in clinical text processing, both foundational and task-oriented, were addressed in community- wide evaluations and discussed in corresponding special issues that are referenced in this review...
November 10, 2016: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/27830254/clinical-research-informatics-contributions-from-2015
#19
C Daniel, R Choquet
OBJECTIVES: To summarize key contributions to current research in the field of Clinical Research Informatics (CRI) and to select best papers published in 2015. METHOD: A bibliographic search using a combination of MeSH and free terms search over PubMed on Clinical Research Informatics (CRI) was performed followed by a double-blind review in order to select a list of candidate best papers to be then peer-reviewed by external reviewers. A consensus meeting between the two section editors and the editorial team was finally organized to conclude on the selection of best papers...
November 10, 2016: Yearbook of Medical Informatics
https://www.readbyqxmd.com/read/27825798/prognostics-of-surgical-site-infections-using-dynamic-health-data
#20
Chuyang Ke, Yan Jin, Heather Evans, Bill Lober, Xiaoning Qian, Ji Liu, Shuai Huang
Surgical Site Infection (SSI) is a national priority in healthcare research. Much research attention has been attracted to develop better SSI risk prediction models. However, most of the existing SSI risk prediction models are built on static risk factors such as comorbidities and operative factors. In this paper, we investigate the use of the dynamic wound data for SSI risk prediction. There have been emerging mobile health (mHealth) tools that can closely monitor the patients and generate continuous measurements of many wound-related variables and other evolving clinical variables...
November 4, 2016: Journal of Biomedical Informatics
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