Search | Preprints.org

Preprint ARTICLE | doi:10.20944/preprints202101.0303.v1

Controlling Nutritional Status (CONUT) Score is a Prognostic Indicator for Patients with Hemorrhagic Stroke: Results from a 3-month Follow-up Study

Bei-lei Zhu, Yan-zhi Wu, Zhong-ming Cai, Cheng-wei Liao, Le-qiu Sun, Zhi-peng Liu, Hao-man Chen, Xue-rong Huang, Ren-qian Feng, Sheng-lie Ye, Qun-li Lin, Xu-dong Zhou, Man-man Zhang, Bo Yang

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Controlling Nutritional Status Score; Hemorrhagic stroke; Nutrition screening; Prognosis; Modified Rankin Scale

Online: 15 January 2021 (16:08:15 CET)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202012.0735.v1

Greek Version of the Acute Cystitis Symptom Score. Part I: Linguistic Validation

Konstantinos Stamatiou, Evangelia Samara, Jakhongir F. Alidjanov, Kurt G. Naber, Adrian Pilatz, Florian M. Wagenlehner

Subject: Medicine And Pharmacology, Urology And Nephrology Keywords: Greek language; translation; acute cystitis symptom score; ACSS; cystitis; urinary tract infection; female pa-tients; diagnosis; patient-reported outcome

Online: 29 December 2020 (15:40:33 CET)

Show abstract| Download PDF| Share

Working Paper ARTICLE

Correcting the Correction: A Revised Formula to Estimate Partial Correlations between True Scores

Debra Wetcher-Hendricks

Subject: Business, Economics And Management, Accounting And Taxation Keywords: Classical Test Theory; Classical True-Score Theory; Correction for Attenuation; Partial Correlation Coefficient

Online: 25 December 2020 (12:17:02 CET)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202012.0584.v1

Genetic and Environmental Factors Influence Pleomorphy of lRRK2 Parkinsonism

Vinita Ganesh Chittoor, Jeremy Nichols, Birgitt Schüle

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: Parkinson’s disease; parkinsonism; LRRK2; neuropathology; modifier; genetics; GWAS; environmental risk factors; polygenic risk score

Online: 23 December 2020 (10:49:22 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202012.0053.v1

Are Dietary Indices Associated with Polycystic Ovary Syndrome and Its Phenotypes? A Case-Control Study

Ana Cutillas-Tolín, Julian Arense-Gonzalo, Jaime Mendiola, Evdochia Adoamnei, Fuensanta Navarro-Lafuente, María Luísa Sanchez-Ferrer, Maria Teresa Prieto Sanchez, Ana Carmona-Barnosi, Jesus Vioque, Alberto M. Torres-Cantero

Subject: Medicine And Pharmacology, Immunology And Allergy Keywords: Polycystic Ovary Syndrome (PCOS); PCOS phenotypes; Rotterdam Criteria; hyperandrogenism; Mediterranean Diet Score (MDS); Alternate Healthy Index (AHEI); Alternate Healthy Index 2010 (AHEI-2010) and DASH index

Online: 2 December 2020 (09:29:48 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202011.0484.v1

Validation of the American English Version of The Acute Cystitis Symptom Score

Jakhongir F. Alidjanov, Kurt G. Naber, Adrian Pilatz, Florian M. Wagenlehner

Subject: Medicine And Pharmacology, Urology And Nephrology Keywords: Acute Cystitis Symptom Score; ACSS; cystitis; urinary tract infection; female patients; diagnosis; patient-reported outcome

Online: 18 November 2020 (16:35:23 CET)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202010.0637.v1

Analysis of the Cost of Varying Levels of User Perceived Quality for Internet Access

Ali Adib Arnab, John Schormans, Sheikh Razibulhasan Raj, Nafi Ahmad

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: Mean Opinion Score (MOS); Quality of Experience (QoE); bandwidth; bandwidth cost; Quality of Service (QoS)

Online: 30 October 2020 (12:55:01 CET)

Show abstract| Download PDF| Share

Working Paper ARTICLE

Methylation‐Based Reclassification of Bladder Cancer Based on Immune Cell Genes

Qizhan Luo, Thomas-Alexander Vögeli

Subject: Medicine And Pharmacology, Urology And Nephrology Keywords: Immune cell; DNA CpGs; Bladder cancer; Subtype; mutation; CNV; Immune score; Immune Checkpoints

Online: 5 September 2020 (06:00:06 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202008.0539.v1

Communication Networks used by Smallholder Livestock Farmers in Disease Outbreaks: Case Study of the Free State, South Africa

Christopher Nwafor, Ifeoma Nwafor

Subject: Computer Science And Mathematics, Computer Networks And Communications Keywords: Correlation; Disease; Extension; Information-Score; Livestock; Perceived-Usefulness

Online: 25 August 2020 (05:01:42 CEST)

Show abstract| Download PDF| Share

Preprint REVIEW | doi:10.20944/preprints202007.0448.v1

C-reactive Protein as a Diagnostic and Prognostic Factor of Endometrial Cancer

Maciej W. Socha, Bartosz Malinowski, Mateusz Wartęga, Oskar Puk, Bartłomiej Wolski, Michał Wiciński

Subject: Medicine And Pharmacology, Obstetrics And Gynaecology Keywords: C-reactive protein; hs-CRP; albumins; Glasgow Prognostic Score; Endometrial Cancer; CRP to albumin ratio; CRP; Cancer; Inflammation

Online: 19 July 2020 (21:13:19 CEST)

Show abstract| Download PDF| Share

Preprint COMMUNICATION | doi:10.20944/preprints202007.0341.v1

The Appropriateness of Invasive Ventilation in COVID-19 Positive Cancer Patients: The Hardest Decision for Oncologists

Michele Ghidini, Alice Indini, Erika Rijavec, Claudia Bareggi, Monica Cattaneo, Barbara Galassi, Donatella Gambini, Francesco Grossi

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: COVID-19; invasive ventilation; cancer; ICU; ONCOVID-ICU; Milano Policlinico; SOFA score; ARDS

Online: 16 July 2020 (04:17:32 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202005.0431.v2

Prediction of Postoperative Outcomes Following Hip Fracture Surgery: Independent Validation and Recalibration of the Nottingham Hip Fracture Score

William J. Doherty, Thomas A. Stubbs, Andrew Chaplin, Mike R. Reed, Avan A. Sayer, Miles D. Witham, Antony K. Sorial

Subject: Public Health And Healthcare, Physical Therapy, Sports Therapy And Rehabilitation Keywords: Hip fracture; Casemix; Validation; Discrimination; Risk score; Calibration

Online: 9 July 2020 (17:23:04 CEST)

Show abstract| Download PDF| Share

Objectives Independent validation of risk scores after hip fracture is uncommon, particularly for evaluation of outcomes other than death. We aimed to assess the Nottingham Hip Fracture Score (NHFS) for prediction of mortality, physical function, length of stay and postoperative complications. Design Analysis of routinely collected prospective data partly collected by follow-up interviews. Setting and Participants Consecutive hip fracture patients were identified from the Northumbria hip fracture database between 2014-2018. Patients were excluded if they were not surgically managed or if scores for predictive variables were missing. Methods C-statistics were calculated to test the discriminant ability of the NHFS, Abbreviated Mental Test Score (AMTS), and ASA grade for in-hospital, 30- and 120-day mortality, functional independence at discharge, 30-days and 120-days, length of stay, and postoperative complications. Results We analysed data from 3208 individuals, mean age 82.6 (SD 8.6). 2192 (70.9%) were female. 194 (6.3%) died during the first 30-days, 1686 (54.5%) were discharged to their own home, 211 (6.8%) had no mobility at 120-days, 141 (4.6%) experienced a postoperative complication. The median length of stay was 18 days (IQR 8-28). For mortality, c-statistics for the NHFS ranged from 0.68-0.69, similar to ASA and AMTS. For postoperative mobility, the c-statistics for the NHFS ranged from 0.74-0.83, similar to AMTS (0.61-0.82) and better than the ASA grade (0.68-0.71). Length of stay was significantly correlated with each score (p<0.001 by Jonckheere-Terpstra test); NHFS and AMTS showed inverted U-shaped relationships with length of stay. For postoperative complications, c-statistics for NHFS (0.54-0.59) were similar to ASA grade (0.53-0.61) and AMTS (0.50-0.58). Conclusions and Implications The NHFS performed consistently well in predicting functional outcomes, moderately in predicting mortality, but less well in predicting length of stay and complications. There remains room for improvement by adding further predictors such as measures of physical performance in future analyses.

Preprint ARTICLE | doi:10.20944/preprints202006.0295.v1

Veridical Causal Inference for Comparative Effectiveness Research Using Medical Claims

Ryan Ross, Xu Shi, Megan Caram, Pheobe Tsao, Paul Lin, Amy Bohnert, Min Zhang, Bhramar Mukherjee

Subject: Medicine And Pharmacology, Other Keywords: insurance claims; reproducibility; propensity score; veridical data science; sensitivity analysis

Online: 24 June 2020 (09:51:17 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints202006.0204.v1

High Concentrations of Presepsin in the Bile and Its Marked Elevation in Biliary Tract Diseases: A Retrospective Analysis

Takashi Yamaguchi, Masahiro Ohira, Naoyuki Kawagoe, Shoko Nakamura, Shou Tanaka, Rena Oka, Yasuhiro Watanabe, Yuta Sato, Atsuhito Saiki, Yasuo Matsuzawa, Hideaki Bujo, Kensuke Terai, Nobuyuki Hiruta, Ichiro Tatsuno, Chiaki Nakaseko, Hidemasa Kikuchi, Katsuyoshi Matsuoka, Hiromitsu Yokota, Naomi Shimizu

Subject: Medicine And Pharmacology, Gastroenterology And Hepatology Keywords: Presepsin; Sepsis; Sequential Organ Failure Assessment (SOFA) score; alkaline phosphatase (ALP); Bile

Online: 16 June 2020 (09:43:45 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202004.0354.v1

Comparative Analysis of Machine Learning Algorithms for Computer-Assisted Reporting Based on Fully Automated Cross-Lingual RadLex® Mappings

Máté E. Maros, Chang Gyu Cho, Andreas G. Junge, Benedikt Kämpgen, Victor Saase, Fabian Siegel, Frederik Trinkmann, Thomas Ganslandt, Holger Wenz

Subject: Medicine And Pharmacology, Other Keywords: machine learning; computer-assisted reporting; RadLex®; natural language processing; contextual reporting; The Alberta Stroke Programme Early CT Score (ASPECTS)

Online: 20 April 2020 (01:31:44 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Objectives: Studies evaluating machine learning (ML) algorithms on cross-lingual RadLex® mappings for developing context-sensitive radiological reporting tools are lacking. Therefore, we investigated whether ML-based approaches can be utilized to assist radiologists in providing key imaging biomarkers – such as The Alberta stroke programme early CT score (APECTS). Material and Methods: A stratified random sample (age, gender, year) of CT reports (n=206) with suspected ischemic stroke was generated out of 3997 reports signed off between 2015-2019. Three independent, blinded readers assessed these reports and manually annotated clinico-radiologically relevant key features. The primary outcome was whether ASPECTS should have been provided (yes/no: 154/52). For all reports, both the findings and impressions underwent cross-lingual (German to English) RadLex®-mappings using natural language processing. Well-established ML-algorithms including classification trees, random forests, elastic net, support vector machines (SVMs) and boosted trees were evaluated in a 5 x 5-fold nested cross-validation framework. Further, a linear classifier (fastText) was directly fitted on the German reports. Ensemble learning was used to provide robust importance rankings of these ML-algorithms. Performance was evaluated using derivates of the confusion matrix and metrics of calibration including AUC, brier score and log loss as well as visually by calibration plots. Results: On this imbalanced classification task SVMs showed the highest accuracies both on human-extracted- (87%) and fully automated RadLex® features (findings: 82.5%; impressions: 85.4%). FastText without pre-trained language model showed the highest accuracy (89.3%) and AUC (92%) on the impressions. Ensemble learner revealed that boosted trees, fastText and SVMs are the most important ML-classifiers. Boosted trees fitted on the findings showed the best overall calibration curve. Conclusions: Contextual ML-based assistance suggesting ASPECTS while reporting neuroradiological emergencies is feasible, even if ML-models are restricted to be developed on limited and highly imbalanced data sets.

Preprint ARTICLE | doi:10.20944/preprints202004.0211.v1

Development and Validation of a Risk Score to Predict Low Birthweight Using Characteristics of the Mother: A Prospective Cohort Study

Hamid Y. Hassen, Bilal S. Endris, Meselech A. Roro, Seifu H. Gebreyesus, Jean-Pierre Van Geertruyden

Subject: Medicine And Pharmacology, Pediatrics, Perinatology And Child Health Keywords: prediction; model; risk score; low birthweight; pregnant women; decision curve analysis

Online: 13 April 2020 (11:15:32 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints202003.0356.v1

Initial Review and Analysis of COVID-19 Host Genetics and Associated Phenotypes

Yosuke Tanigawa, Manuel Rivas

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: COVID-19; SARS-CoV-2; host genetics; genetics; polygenic risk score

Online: 24 March 2020 (08:36:20 CET)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints201911.0314.v3

Financial Performance Analysis of Distressed Banks in Ghana: Exploration of Financial Ratios and Z-score

Juabin Matey

Subject: Business, Economics And Management, Economics Keywords: Bank; , Debt; Distress; Performance; Credit Management Practice; Z-score

Online: 19 December 2019 (13:05:29 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201911.0298.v2

A Hierarchical Machine Learning Model to Discover Gleason Grade Group-specific Biomarkers in Prostate Cancer

Osama Hamzeh, Abedalrhman Alkhateeb, Julia Zheng, Srinath Kandalam, Crystal Lueng, Govindaraja Aikukke, Dora Cavallo-Medved, Nallasivam Palanisamy, Luis Rueda

Subject: Medicine And Pharmacology, Oncology And Oncogenics Keywords: classification; prostate cancer; gleason score; machine learning; next-generation sequencing

Online: 26 November 2019 (04:01:21 CET)

Show abstract| Download PDF| Share

1) Background: One of the most common cancer that affects men worldwide and North American men is prostate cancer. Gleason score is a pathological grading system to examine the potential aggressiveness of the disease in the prostate tissue. The advancement in computing and next-generation sequencing technology now allow us to study the genomic profiles of patients in association with their different Gleason score more accurately and effectively. 2) Methods: In this study, we used a novel machine learning method to analyze gene expression of prostate tumors with different Gleason scores, and identify potential genetic biomarkers for each Gleason group. We obtained a publicly-available RNA-Seq dataset of a cohort of 104 prostate cancer patients from the National Center for Biotechnology Information’s (NCBI) Gene Expression Omnibus (GEO) repository, and categorized patients based on their Gleason scores to create a hierarchy of disease progression. A hierarchical model with standard classifiers in different Gleason groups, also known as nodes, was developed to identify and predict nodes based on their mRNA or gene expression. In each node, patient samples were analyzed via class imbalance and hybrid feature selection techniques to build the prediction model. The outcome from analysis of each node is a set of genes that can differentiate each Gleason group from the remaining groups. To validate the proposed method, the set of identified genes are used to classify a second dataset of 499 prostate cancer patients collected from cBioportal [1]. 3) Results: The overall accuracy of applying this novel method to the first dataset was 93.3%, and further validated to 87% accuracy using the second dataset. This method also identified genes that were not previously reported as potential biomarkers for specific Gleason groups. In particular, PIAS3 was identified as a potential biomarker for Gleason score 4+3=7, and UBE2V2 for Gleason score 6. 4) Insight: Previous reports show that the genes predicted by this newly proposed method strongly correlate with prostate cancer development and progression. Furthermore, pathway analysis shows that both PIAS3 and UBE2V2 share similar protein interaction pathways, the JAK/STAT signaling process.

Preprint ARTICLE | doi:10.20944/preprints201911.0223.v1

Identification and Preference of Game Styles in LaLiga Associated with Match Outcomes

Julen Castellano Paulis, Miguel Pic

Subject: Social Sciences, Education Keywords: match analysis; team sport; key performance indicator; interaction; elite; score

Online: 19 November 2019 (03:57:36 CET)

Show abstract| Download PDF| Share

Working Paper ARTICLE

Multi-Criteria Decision-Making Techniques for Solving the Airport Ground Handling Service Equipment Vendor Selection Problem

Peng Yen-Ting, Shen Chien-Wen, Tu Chang-Shu

Subject: Computer Science And Mathematics, Mathematics Keywords: equipment vendor selection; fuzzy TOPSIS; fuzzy weighted average left and right score; multi-choice goal programming; multi-aspiration goal programming

Online: 30 May 2019 (08:42:27 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201810.0171.v3

Clinical Relevance of Genome-Wide Polygenic Score may Be Less than Claimed

David Curtis

Subject: Biology And Life Sciences, Biochemistry And Molecular Biology Keywords: genome-wide polygenic score; coronary artery disease; AUC

Online: 6 December 2018 (07:06:32 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201811.0476.v1

Capability of Remotely Sensed Drought Indices for Representing the Spatio–Temporal Variations of the Meteorological Droughts in the Yellow River Basin

Fei Wang, Zongmin Wang, Haibo Yang, Yong Zhao, Zhenhong Li, Jiapeng Wu

Subject: Environmental And Earth Sciences, Remote Sensing Keywords: remotely sensed drought indices (RSDIs); Standardized Precipitation Evapotranspiration Index (SPEI); meteorological drought; Skill Score (SS); Yellow River basin (YRB)

Online: 19 November 2018 (17:26:37 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201811.0307.v1

Supplementing Dairy Ewes Grazing Low Quality Pastures with Plant-Derived Oils and Rumen-Protected EPA+DHA Pellets Improves Lactation Traits and Body Condition Score

Quang V. Nguyen, Hung V. Le, Don V. Nguyen, Peter Nish, John R. Otto, Bunmi S. Malau-Aduli, Peter D. Nichols, Aduli E.O. Malau-Aduli

Subject: Biology And Life Sciences, Animal Science, Veterinary Science And Zoology Keywords: PUFA; oils; body condition score; sheep milk composition; supplementation; canola; flaxseed; safflower; rice bran

Online: 13 November 2018 (10:05:15 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201810.0209.v1

Characterization of Microbiota in Bronchiectasis Patients with Different Disease Severities

Sang Hoon Lee, YeonJoo Lee, Jong Sun Park, Young-Jae Cho, Ho Il Yoon, Choon-Taek Lee, Jae Ho Lee

Subject: Biology And Life Sciences, Immunology And Microbiology Keywords: bronchiectasis; FACED score; microbiome

Online: 10 October 2018 (08:14:24 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201810.0181.v1

A Democratic Method and Index to Rationalize Authorship Decisions and Determine the Order of Authors

Thorsten Schmidt

Subject: Social Sciences, Library And Information Sciences Keywords: Authorship contributions, Authorship Score, Authorship Conflicts, First Author, Decision Making, Bibliometry

Online: 9 October 2018 (09:45:12 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints201810.0073.v1

Classification for Liver Diseases Based on Ultrasound Image Texture Features

Sendren Sheng-Dong Xu, Chien-Tien Su, Chun-Chao Chang, Pham Quoc Phu

Subject: Medicine And Pharmacology, Other Keywords: Classification; F-score; Gray-Level Co-occurrence Matrix (GLCM); Gray-Level Run-Length Matrix (GLRLM); Hepatocellular Carcinoma (HCC); Liver Cancer; Liver Abscess; Image Texture, Sequential Backward Selection (SBS); Sequential Forward Selection (SFS); Support Vector Machine (SVM); Ultrasound Image.

Online: 4 October 2018 (14:01:42 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201807.0398.v1

Trajectory of Type 2 Diabetes in Sepsis Outcome: Impacts of Diabetic Complication Burdens, Initial Glucose Level, and HbA1c: Population-Based Cohort Study Combining with Nationwide and Hospital-Based Database

Ming-Shun Hsieh, Sung-Yuan Hu, Chorng-Kuang How, Yi-Tzu Lee, Chen-June Seak, Vivian Chia-Rong Hsieh, Jen-Huai Chiang, Chiann-Yi Hsu, Sheng-Hsiang Ma, Pau-Chung Chen

Subject: Medicine And Pharmacology, Endocrinology And Metabolism Keywords: diabetes mellitus; sepsis; diabetes complication severity index score

Online: 22 July 2018 (10:54:29 CEST)

Show abstract| Download PDF| Share

Background Diabetic patients have an increased risk of infections; however, the association between type 2 diabetes and hospital outcomes of sepsis remains controversial when the diabetes severity is not considered. We examined this association using nationwide and hospital-based databases concomitantly. Methods The first part of this study was conducted using 2 nationwide databases: the Longitudinal Cohort of Diabetes Patients and the Longitudinal Health Insurance Database 2000. The diabetic complication burden was evaluated using the adapted Diabetes Complications Severity Index score (aDCSI score). In the second part, we used the hospital-based database with laboratory data, such as initial blood glucose and HbA1c levels, to make comparisons between surviving and dead patients with type 2 diabetes and sepsis. Results The nationwide study included 19,719 type 2 diabetic sepsis patients and an equal number of non-diabetic patients. The diabetic sepsis patients had an increased odds ratio (OR) of 1.14 (95% CI 1.1-1.19) for hospital mortality. The OR for mortality increased as the complication burden increased (diabetic sepsis patients with aDCSI scores of 0, 1, 2, 3, 4, and ≥5 had ORs of 0.91, 0.87, 1.14, 1.25, 1.56, and 1.77 for mortality, respectively (all P<0.001 and P for trend <0.001)). A total of 1,054 diabetic sepsis patients were included from the hospital-based database. Initial blood glucose levels in the surviving and dead diabetic sepsis patients did not differ significantly: 273.9 ± 180.3 versus 266.1 ± 200.2 (mg/dL) (P=0.095). Moreover, the surviving diabetic sepsis patients did not have a lower HbA1c (%): 8.4 ± 2.6 versus 8.0 ± 2.5 (P=0.078). Conclusions In the case of type 2 diabetic sepsis patients, the diabetes-related complication burden is the major determinant of hospital mortality rather than the diabetes itself. Contrary to popular belief, initial blood glucose and HbA1c levels may not be as important as previously thought.

Preprint ARTICLE | doi:10.20944/preprints201804.0351.v1

Smoking Topography among Korean Smokers: Intensive Smoking Behavior with Larger Puff Volume and Shorter Interpuff Interval

Sungroul Kim, Sol Yu

Subject: Public Health And Healthcare, Public, Environmental And Occupational Health Keywords: topography; cotinine; fagerstrom score; addiction

Online: 27 April 2018 (06:21:27 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints201803.0109.v1

The Association of Dietary Patterns with High-Risk Human Papillomavirus Infection and Cervical Cancer: A Cross-Sectional Study in Italy

Martina Barchitta, Andrea Maugeri, Annalisa Quattrocchi, Ottavia Agrifoglio, Aurora Scalisi, Antonella Agodi

Subject: Medicine And Pharmacology, Dietetics And Nutrition Keywords: Cervical intraepithelial neoplasia; Mediterranean Diet Score; Principal Component analysis; western diet; prudent diet

Online: 15 March 2018 (03:33:48 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201801.0041.v1

Plasma cBIN1 Score (CS) Identifies HFpEF and Can Predict Cardiac Hospitalization in Stable Ambulatory Patients

Andriana P. Nikolova, Tara C. Hitzeman, Rachel Baum, Bing Xu, Sosse Agvanian, Yu Xie, Dael R. Geft, David H. Chang, Jaime D. Moriguchi, Antoine Hage, Babak Azarbal, Lawrence S. Czer, Michelle M. Kittleson, Jignesh K. Patel, Alan H. B. Wu, Jon A. Kobashigawa, Michele Hamilton, TingTing Hong, Robin Shaw

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: biomarkers; heart failure with preserved ejection fraction (HFpEF); cBIN1; cBIN1 Score (CS)

Online: 7 January 2018 (13:49:49 CET)

Show abstract| Download PDF| Share

Objective: We determined, in stable ambulatory heart failure with preserved ejection fraction (HFpEF) subjects and matched controls, the capability of a novel blood based cardiac-specific cBIN1 Score (CS) to diagnose heart failure and prognosticate future hospitalization. Background: Heart failure (HF) poses a costly health care burden worldwide with rising prevalence. Abnormal calcium signaling is intrinsic to HF pathophysiology and correlates with reduced expression of a cardiac membrane scaffolding protein, cardiac bridging integrator 1 (cBIN1). We hypothesize that CS, a numerical score derived from plasma cBIN1 concentration, is a diagnostic and prognostic biomarker of HF. Methods: Plasma cBIN1 is quantified by an ELISA test, and CS is calculated as the natural log of the normalized reciprocal of plasma cBIN1 concentration. We determined CS among 52 clinically stable individuals with HFpEF (LVEF ≥ 50%) (mean age 57 ± 15 years old, 63% men) and 104 age and sex matched volunteers with no known history of HF. We obtained plasma concentrations of NT-proBNP, a marker of volume status, as comparison. Baseline co-morbidities and one year longitudinal clinical information were obtained through electronic medical records. Results: Median CS is 0 (IQR -0.4 – 0.6) in the control cohort and is increased to 1.8 in the HFpEF cohort (IQR 1.5 – 2.3, p < 0.0001). For HFpEF diagnosis, CS has a receiver operating characteristic (ROC) area under the curve (AUC) of 0.94 (95% CI 0.95 – 0.99) and NT-proBNP of 0.89 (95% CI 0.83 – 0.95). Kaplan-Meier analysis of one year cardiovascular hospitalizations reveals that HFpEF patients with CS ≥ 1.8 have a hazard ratio (HR) of 4.0 (95% CI 1.4 – 11.2, p=0.009). Combining CS ≥ 1.8 with NT-proBNP ≥ 300 pg/mL, increases HR to 21.4 (95% CI 2.7 – 171.6, p=0.004). Conclusions: In a cohort of stable ambulatory HF patients with cardiomyopathies of multiple etiologies and preserved ejection fraction, a positive CS correlates with worsening myocardial health and predicts future hospitalization. CS, a marker of cardiac muscle health, provides a novel index to informing the management of stable ambulatory HF patients.

Preprint ARTICLE | doi:10.20944/preprints201801.0040.v1

Plasma cBIN1 Score (CS) Identifies HFrEF and Can Predict Cardiac Hospitalization in Stable Ambulatory Patients

Yu Xie, Tara C. Hitzeman, Ronit H. Zadikany, Andriana P. Nikolova, Rachel Baum, Bing Xu, Sosse Agvanian, Gil Y. Melmed, Dermot T. McGovern, Dael R. Geft, David H. Chang, Jaime D. Moriguchi, Antoine Hage, Babak Azarbal, Lawrence S. Czer, Michelle M. Kittleson, Jignesh K. Patel, Alan H. B. Wu, Jon A. Kobashigawa, Michele Hamilton, TingTing Hong, Robin M. Shaw

Subject: Medicine And Pharmacology, Cardiac And Cardiovascular Systems Keywords: biomarker; heart failure with reduced ejection fraction (HFrEF); cBIN1; cBIN1 Score (CS)

Online: 7 January 2018 (12:51:36 CET)

Show abstract| Download PDF| Share

Objective: We determined, in stable ambulatory heart failure with reduced ejection fraction (HFrEF) subjects and matched controls, the capability of a novel blood based cardiac-specific cBIN1 Score (CS), which assesses the health of cardiac muscle, to identify patients with known heart failure (HF) and to prognosticate future hospitalization. Background: Limited clinical tools are available in assessing cardiac muscle health in stable ambulatory patients. Cardiac bridging integrator 1 (cBIN1) is a cardiomyocyte t-tubule membrane scaffolding protein which regulates calcium signaling in cardiomyocytes, decreases in failing muscle, and is present in plasma in levels that correlate with cardiac content. We hypothesize that CS, a normalized index of plasma cBIN1 concentration, can function as a diagnostic and prognostic biomarker of HF. Methods: Plasma cBIN1 concentration is measured by an ELISA test, and CS is calculated as the natural log of the ratio of a constant population mean cBIN1 to measured cBIN1 concentration. We determined CS among 125 clinically stable individuals with HFrEF (LVEF ≤ 40%) (mean age 56 ± 10 years old, 79% men) and 125 age, sex matched volunteers with no known history of HF. We obtained plasma concentrations of NT-proBNP, a marker of volume status, as comparison. Baseline co-morbidities and 18-month longitudinal clinical information were obtained through electronic medical records. Results: CS follows a normal distribution with a median of 0 in the control population and median is significantly increased among HFrEF patients to 1.8 (IQR 1.4 – 2.1, p < 0.0001). CS diagnosed HFrEF with a receiver operating characteristic (ROC) area under the curve (AUC) of 0.93 (AUC is 0.98 for NT-proBNP, and combined CS and NT-proBNP AUC is 0.99). Unlike NT-proBNP, CS does not correlate with body mass index (BMI) in either the control or HFrEF population (Pearson’s r = -0.15, p = 0.12; Pearson’s r = 0.003, p = 0.97, respectively). NT-proBNP significantly correlates with renal function (Pearson’s r = -0.37, p = 0.001), while CS also has no correlation (Pearson’s r = 0.03, p = 0.71). During an 18-month follow-up, a high CS ≥ 1.8 at the initial visit predicted future cardiovascular hospitalizations (38% vs. 21%, p = 0.04, hazard ratio 2.0). NT-proBNP did not predict future cardiovascular hospitalizations. Conclusions: Plasma cBIN1 based CS is insensitive to BMI and renal function and differentiates myocardial health between patients with HFrEF versus matched controls. An abnormally high CS reflected poor intrinsic myocardial health and can predict future 18-month cardiac hospitalization in stable ambulatory patients.

Preprint ARTICLE | doi:10.20944/preprints201711.0124.v1

NN-Harmonic Mean Aggregation Operators Based MCGDM Strategy in Neutrosophic Number Environment

Kalyan Mondal, Surapati Pramanik, Bibhas C. Giri, Florentin Smarandache

Subject: Computer Science And Mathematics, Applied Mathematics Keywords: neutrosophic number; neutrosophic number harmonic mean operator (NNHMO); neutrosophic number weighted harmonic mean operator (NNWHMO); cosine function, score function; multi criteria group decision making

Online: 20 November 2017 (09:53:31 CET)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201710.0169.v1

A Longitudinal Approach to Biological Psychiatric Research: The PsyCourse Study

Monika Budde, Heike Anderson-Schmidt, Katrin Gade, Daniela Reich-Erkelenz, Kristina Adorjan, Janos L. Kalman, Fanny Senner, Sergi Papiol, Till F. M. Andlauer, Ashley L. Comes, Eva C. Schulte, Farah Klöhn-Saghatolislam , Anna Gryaznova, Maria Hake, Kim Bartholdi, Laura Flatau, Markus Reitt, Silke Quast, Sophia Stegmaier, Milena Meyers, Barbara Emons, Ida Sybille Haußleiter, Georg Juckel, Vanessa Nieratschker, Udo Dannlowski, Max Schmauß, Jörg Zimmermann, Jens Reimer, Sybille Schulz, Jens Wiltfang, Eva Reininghaus, Ion-George Anghelescu, Volker Arolt, Bernhard T. Baune, Carsten Konrad, Andreas Thiel, Andreas J. Fallgatter, Christian Figge, Martin von Hagen, Manfred Koller, Fabian U. Lang, Moritz E. Wigand, Thomas Becker, Markus Jäger, Detlef E. Dietrich, Sebastian Stierl, Harald Scherk, Carsten Spitzer, Here Folkerts, Stephanie H. Witt, Franziska Degenhardt, Andreas J. Forstner, Marcella Rietschel, Markus M. Nöthen, Peter Falkai, Thomas G. Schulze, Urs Heilbronner

Subject: Medicine And Pharmacology, Psychiatry And Mental Health Keywords: Schizophrenia; bipolar; psychosis; depression; polygenic risk score; diagnosis; RDoC

Online: 27 October 2017 (11:58:11 CEST)

Show abstract| Download PDF| Supplementary Files| Share

Preprint ARTICLE | doi:10.20944/preprints201705.0091.v1

The Government Support and the Innovation of the New Energy Firms

Weijian Du, Mengjie Li

Subject: Business, Economics And Management, Economics Keywords: Government support; Innovation probability; Innovation destiny; Propensity score matching

Online: 10 May 2017 (18:04:33 CEST)

Show abstract| Download PDF| Share

Preprint ARTICLE | doi:10.20944/preprints201703.0164.v1

Decentralization and Transboundary Pollution: Evidence from the Change of Water Pollution Levels in China

Yongliang Yang, Manhong Shen

Subject: Business, Economics And Management, Economics Keywords: Boundary effect; Transboundary pollution; Propensity Score Matching

Online: 20 March 2017 (17:33:38 CET)

Show abstract| Download PDF| Share

Search Results

136 articles found