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Integrative Analysis for COVID-19 Patient Outcome Prediction [article]

Hanqing Chao, Xi Fang, Jiajin Zhang, Fatemeh Homayounieh, Chiara D. Arru, Subba R. Digumarthy, Rosa Babaei, Hadi K. Mobin, Iman Mohseni, Luca Saba, Alessandro Carriero, Zeno Falaschi (+4 others)
2020 arXiv   pre-print
While image analysis of chest computed tomography (CT) for COVID-19 diagnosis has been intensively studied, little work has been performed for image-based patient outcome prediction.  ...  To our knowledge, this is the first study that uses holistic information of a patient including both imaging and non-imaging data for outcome prediction.  ...  We collected clinical and outcome information of 57 patients with positive RT-PCR assay for COVID-19.  ... 
arXiv:2007.10416v2 fatcat:oowh2i3ka5e7zckdtffdwwzd6q

Clinical Utility of a Nomogram for Predicting 30-Days Poor Outcome in Hospitalized Patients With COVID-19: Multicenter External Validation and Decision Curve Analysis

Bin Zhang, Qin Liu, Xiao Zhang, Shuyi Liu, Weiqi Chen, Jingjing You, Qiuying Chen, Minmin Li, Zhuozhi Chen, Luyan Chen, Lv Chen, Yuhao Dong (+2 others)
2020 Frontiers in Medicine  
We aimed to develop and validate a nomogram for predicting 30-days poor outcome of patients with COVID-19.Methods: The prediction model was developed in a primary cohort consisting of 233 patients with  ...  utility than the clinical nomogram.Conclusions: We established and validated a nomogram that can provide an individual prediction of 30-days poor outcome for COVID-19 patients.  ...  FIGURE 3 | 3 Nomograms to predict 30-days poor outcome in patients hospitalized for COVID-19.  ... 
doi:10.3389/fmed.2020.590460 pmid:33425939 pmcid:PMC7785751 fatcat:4qax7rcadfay3aqkygteu3h43q

Impact of first wave of COVID-19 on outcomes of hospitalization for upper gastrointestinal bleeding in Hong Kong: a population-based study

Thomas K.L. Lui, Vivien W.M. Tsui, Wai K. Leung
2021 Endoscopy International Open  
The number and characteristics of patients hospitalized for UGIB after COVID-19 was compared by autoregressive integrated moving average (ARIMA) model prediction and historical cohort.  ...  This study determined the impact of the first wave of COVID-19 on the number and outcome of patients hospitalized for upper gastrointestinal bleeding (UGIB) in Hong Kong.  ...  Acknowledgments The authors thank the Hospital Authority of Hong Kong for access to data available from the Clinical Data Analysis and Reporting System  ... 
doi:10.1055/a-1333-1337 pmid:33655022 pmcid:PMC7892267 fatcat:2dk2ku3wpzggbi46jdulcygmj4

The COVID-19 Worsening Score (COWS)-a predictive bedside tool for critical illness

Enrico Boero, Serena Rovida, Annia Schreiber, Paola Berchialla, Lorena Charrier, Marta Maria Cravino, Marcella Converso, Paola Gollini, Mattia Puppo, Angela Gravina, Giorgia Fornelli, Giulia Labarile (+6 others)
2021 Echocardiography  
Adult COVID-19 patients admitted to the emergency department (ED) were enrolled.  ...  The newly developed COVID-19 Worsening Score relies on five variables to classify high- and low-risk patients with an overall accuracy of 80% and negative predictive value of 93% (95% CI, 87%-98%).  ...  Vital parameters, comorbidities, and blood test results have been combined to predict disease severity and outcomes for hospitalized COVID-19 patients.  ... 
doi:10.1111/echo.14962 pmid:33491261 fatcat:2bo744yvj5d47debvpk7crhkse

Open resource of clinical data from patients with pneumonia for the prediction of COVID-19 outcomes via deep learning

Wanshan Ning, Shijun Lei, Jingjing Yang, Yukun Cao, Peiran Jiang, Qianqian Yang, Jiao Zhang, Xiaobei Wang, Fenghua Chen, Zhi Geng, Liang Xiong, Hongmei Zhou (+6 others)
2020 Nature Biomedical Engineering  
We show the utility of the database for prediction of COVID-19 morbidity and mortality outcomes using a deep learning algorithm trained with data from 1,170 patients and 19,685 manually labelled CT slices  ...  AbstractData from patients with coronavirus disease 2019 (COVID-19) are essential for guiding clinical decision making, for furthering the understanding of this viral disease, and for diagnostic modelling  ...  Development of HUST-19 for predicting clinical outcomes of COVID-19 patients.  ... 
doi:10.1038/s41551-020-00633-5 pmid:33208927 fatcat:5txwilbg55hozmjeronh7cpefy

Protecting Scientific Integrity and Public Policy Pronouncements on COVID-19

2020 Advances in Decision Sciences  
In terms of protecting the scientific integrity of clinical trials of COVID-19 patients, it is intentional to determine whether imperfectly collected data on clinical trials are more useful than having  ...  In this context, protecting the integrity of public policy pronouncements relating to the conduct and outcomes of scientific clinical trials.  ...  In addition to protecting the scientific integrity of clinical trials of COVID-19 patients, protecting the integrity of public policy pronouncements relating to the conduct and outcomes of scientific clinical  ... 
doi:10.47654/v24y2020i1p70-84 fatcat:xaciq4okdvhyza2jplavhyjt5a


Mathias Haarhaus, Carla Santos, Michael Haase, Pedro Mota Veiga, Carlos Lucas, Fernando Macário
2021 Nephrology, Dialysis and Transplantation  
To date, risk prediction models for COVID-19-related incidence and outcomes in haemodialysis (HD) patients are missing.  ...  Conclusion We identified modifiable risk factors for COVID-19 incidence and outcome in HD patients. Our risk prediction tools can be readily applied in clinical practice.  ...  The model for prediction of mortality was developed in all COVID-19 patients (AUCDev 0.71, AUCVal 0.78).  ... 
doi:10.1093/ndt/gfab098.006 fatcat:3vb5eki34nfnvkt3aa2a2fps64

A practical integrated radiomics model predicting intensive care hospitalization in COVID-19

Chiara Giraudo, Giovanni Frattin, Giulia Fichera, Raffaella Motta, Roberto Stramare
2021 Critical Care  
the predicting role of such model for Intensive Care Unit (ICU) hospitalization and overall outcome.  ...  Eighteen patients deceased; 56 patients were treated in ICU and 147 in COVID-19 wards only.  ... 
doi:10.1186/s13054-021-03564-y pmid:33853641 fatcat:tzzvcsv7mvdclo53hwjoxlsjbe

A LIME-Based Explainable Machine Learning Model for Predicting the Severity Level of COVID-19 Diagnosed Patients

Freddy Gabbay, Shirly Bar-Lev, Ofer Montano, Noam Hadad
2021 Applied Sciences  
We examine two types of machine learning models, a multilayer perceptron artificial neural networks and decision trees, to predict the severity level of illness for patients diagnosed with COVID-19, based  ...  The fast and seemingly uncontrollable spread of the novel coronavirus disease (COVID-19) poses great challenges to an already overloaded health system worldwide.  ...  outcome in COVID-19.  ... 
doi:10.3390/app112110417 fatcat:2yfdeevcrbfdlkfo2yimib52d4

Chest X-ray Score and Frailty as Predictors of In-Hospital Mortality in Older Adults with COVID-19

Sara Cecchini, Mirko Di Rosa, Luca Soraci, Alessia Fumagalli, Clementina Misuraca, Daniele Colombo, Iacopo Piomboni, Francesca Carnevali, Enrico Paci, Roberta Galeazzi, Piero Giordano, Massimiliano Fedecostante (+2 others)
2021 Journal of Clinical Medicine  
The primary outcome of the study was in-hospital mortality. Statistical analysis was conducted using Cox regression.  ...  CXR score, CFS, and presence of fever were the main predictors of in-hospital mortality in our cohort of hospitalized older patients with COVID-19.  ...  Our findings confirm the importance of both the radiological severity of COVID-19 pneumonia and frailty status in predicting poor outcomes in hospitalized older patients with COVID-19.  ... 
doi:10.3390/jcm10132965 pmid:34279449 pmcid:PMC8268684 fatcat:dx3a3k2uzvfgbbfhlgdf5d6lze

Predictors of worsening oxygenation in COVID-19

Jee Youn Oh
2021 Tuberculosis and Respiratory Diseases  
There have been thousands of reports on biomarkers for predicting outcomes of COVID-19 with various parameters, diverse clinical severities, and outcomes.  ...  Chest quantitative CT has a promising role in the early diagnosis of COVID-19 and provides new metrics for predicting clinical outcomes 13 .  ... 
doi:10.4046/trd.2021.0034 pmid:33691358 fatcat:z2zpk4lhcvd43nwk6eymrjfzim

A new stratification model for a population health risk assessment, based on a large cohort of patients infected by Covid-19

Roberto Blaco, Olivia Leoni, Gjiliola Cukaj, Michele Ercolanoni, Carla Carnovale
2021 Pharmacological Research  
The model included all symptomatic patients with confirmed SARS-CoV-2 infection, extracted from the regional COVID-19 integrated surveillance database (DB COVID-19) between 21 February 2020 and 30 November  ...  in the total Lombardy COVID-19 infected patients.  ... 
doi:10.1016/j.phrs.2021.105598 pmid:33819617 fatcat:ehlwpiwm6vdylkldriiabdykve

Predictors of refractory Coronavirus disease (COVID-19) pneumonia

Bahaa Abu-Raya
2020 Clinical Infectious Diseases  
The authors have further attempted to explore predictive factors for refractory COVID-19 using a multivariate analysis showing that male sex, anorexia on admission, and being afebrile are independent risk  ...  There is a critical lack of predictive factors that can guide clinicians in identifying patients at risk for prolonged, and thus potentially more severe, COVID-19 that needs an early and aggressive therapeutic  ... 
doi:10.1093/cid/ciaa409 pmid:32271373 fatcat:d2n5oy5jybfknmg5tblytlrofq

Ontology-based systematic classification and analysis of coronaviruses, hosts, and host-coronavirus interactions towards deep understanding of COVID-19 [article]

Hong Yu, Li Li, Hsin-hui Huang, Yang Wang, Yingtong Liu, Edison Ong, Anthony Huffman, Tao Zeng, Jingsong Zhang, Pengpai Li, Zhiping Liu, Xiangyan Zhang (+8 others)
2020 arXiv   pre-print
The results were formulated in a logical ontology representation for integrative HCI-outcome understanding.  ...  Overall, our proposed ontology-based integrative framework combined with computational predictions can be used to support fundamental understanding of the intricate interactions between human patients  ...  COVID-19 outcomes differ among hosts.  ... 
arXiv:2006.00639v1 fatcat:icff6smpkreshc3woxsnn7gsfe

Assessment of the Performance Consistency of an Adverse Outcome Prediction Tool for Patients Hospitalized With COVID-19

Victor M. Castro, Thomas H. McCoy, Roy H. Perlis
2021 JAMA Network Open  
Our results indicate that the population of individuals hospitalized for COVID-19 has shifted and the prevalence of the studied outcomes changed.  ...  included patients who selfreported multiracial or other race and patients whose race is unknown. c Severe COVID-19 outcome refers to the composite severe illness outcome, including admission to the ICU  ...  Author Contributions: Dr Perlis had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.  ... 
doi:10.1001/jamanetworkopen.2021.18413 pmid:34313745 pmcid:PMC8317002 fatcat:zugxsocmkzbxfecznnccqusl3q
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