Two novel nomograms based on inflammatory cytokines or lymphocyte subsets to differentially diagnose severe or critical and Non-Severe COVID-19염증성 사이토 카인 또는 림프구 서브 세트에 기초한 2 개의 새로운 노모 그램은 심각하거나 중요하지 않은 Covid-19를 차별적으로 진단하기 위해Research Paper Published on 2021-07-312022-09-01 Journal: Aging (Albany NY) [Category] 바이오마커, 진단, [키워드] 95% CI Analysis assist calibrated calibration curve Clinical characteristics correlated COVID-19 COVID-19 patients Critical cytokine cytokine profile cytokine profiles Cytokines demonstrated develop diagnose diagnostics disease severity effective evaluate facilitate feature immunological Inflammatory cytokine inflammatory cytokine profile Inflammatory cytokines lymphocyte Lymphocyte subset Lymphocyte subsets multivariable logistic regression nomogram non-severe patient non-severe patients Patient physician positive correlation predict receiver operating characteristics SARS-CoV-2 severe or critical patients severity of COVID-19 significantly significantly higher significantly more training set Treatment [DOI] 10.18632/aging.203307 PMC 바로가기 [Article Type] Research Paper
A novel CT-based radiomics in the distinction of severity of coronavirus disease 2019 (COVID-19) pneumonia코로나 바이러스 질병 2019 (Covid-19) 폐렴의 심각성의 구별에서 새로운 CT 기반 방사선학Research Published on 2021-06-252022-09-01 Journal: BMC Infectious Diseases [Category] MERS, SARS, 진단, [키워드] 95% CI 95% confidence interval age AUC calculated calibration Chain Reaction coefficients Cohort cohorts Comorbidity consolidation contribute coronavirus disease Coronavirus disease 2019 COVID-19 COVID-19 pneumonia Curve decision-curve analysis enrolled evaluate exhibited feature Final GGO Ground glass opacity LASSO lesions marker multivariate regression analysis nomogram non-severe patient operator Patient patient treatment patients with COVID-19 Pneumonia polymerase chain polymerase chain reaction Prognosis Radiomics regression analysis Result retained reverse transcription reverse transcription polymerase chain reaction RT-PCR selected severe and non-severe patients severity severity of COVID-19 tomography training set were used with COVID-19 X-ray computed [DOI] 10.1186/s12879-021-06331-0 PMC 바로가기 [Article Type] Research
Derivation and Validation of a Nomogram for Predicting 90-Day Survival in Patients With HBV-Related Acute-on-Chronic Liver FailureOriginal Research Published on 2021-06-162023-08-30 Journal: Frontiers in Medicine [Category] E형 간염, [키워드] Acute-on-chronic liver failure CLIF-C ACLF score CLIF-C OF score COSSH score Hepatitis B virus MELD score nomogram Prognosis [DOI] 10.3389/fmed.2021.692669 PMC 바로가기 [Article Type] Original Research
Radiomics Is Effective for Distinguishing Coronavirus Disease 2019 Pneumonia From Influenza Virus PneumoniaPublic Health Published on 2021-06-152022-10-31 Journal: Frontiers in Public Health [Category] COVID-19, MERS, SARS, [키워드] 95% CI 95% confidence interval Algorithm AUC characteristic clinically Computed tomography coronavirus disease COVID-19 data sets decision curve analysis develop diagnosis of COVID-19 distinguishing feature Features Influenza Influenza virus Logistic regression material nine nomogram operator patients with COVID-19 patients with influenza Pneumonia Radiomics Receiver operator characteristic reduced Retrospective study selected significantly virus pneumonia [DOI] 10.3389/fpubh.2021.663965 PMC 바로가기 [Article Type] Public Health
A Nomogram Prediction of Length of Hospital Stay in Patients with COVID-19 Pneumonia: A Retrospective Cohort StudyCOVID-19 폐렴 환자의 입원 기간에 대한 노모그램 예측: 후향적 코호트 연구Research Article Published on 2021-06-082022-09-12 Journal: Disease Markers [Category] Coronavirus, MERS, SARS, 진단, [키워드] 95%CI adjusted alanine aminotransferase Assessing AUC AUC value Beijing bootstrap C-index characteristic clinical variable conducted coronavirus disease COVID-19 Cox proportional hazard criterion cross discharge discrimination Efficiency Final FIVE help hospital Hospital stay independent predictor indicated information interquartile range Kaplan–Meier large cohort Length LOS median medical resource nomogram PaO Patient patients with COVID-19 PF ratio Platelet Pneumonia predicted prediction Probability resource retrospective cohort study the log-rank test was used were used with COVID-19 [DOI] 10.1155/2021/5598824 PMC 바로가기 [Article Type] Research Article
Predicting Progression of COVID-19 Infection to Prioritize Medical Resource Allocation: A Novel Triage Model Based on Patient Characteristics and Symptoms at PresentationPublic Health Published on 2021-05-112022-10-31 Journal: Frontiers in Public Health [Category] COVID-19, MERS, SARS, [키워드] 95% confidence interval age AUC available data carried Clinical data Cohort confirmed COVID-19 case Contact cough COVID-19 develop disease Disease progression Dyspnea External Fever global pandemic Health care system help hypertension independent independent risk factor independent variable Medical resources Model multivariable logistic regression myalgia nomogram novel pandemic patients Pragmatic predict presentation prognostic reduce retrospective cohort study risk factor Triage utility viral spread was performed were recorded [DOI] 10.3389/fpubh.2021.610280 PMC 바로가기 [Article Type] Public Health
Two novel nomograms for predicting the risk of hospitalization or mortality due to COVID-19 by the naïve Bayesian classifier methodArticle Published on 2021-05-012023-07-02 Journal: Journal of medical virology [Category] SARS, [키워드] COVID-19 Hospitalization Mortality nomogram prediction risk factor [DOI] 10.1002/jmv.26890 PMC 바로가기
Distinguishing Coronavirus Disease 2019 Patients From General Surgery Emergency Patients With the CIAAD Scale: Development and Validation of a Prediction Model Based on 822 Cases in ChinaMedicine Published on 2021-04-302022-10-31 Journal: Frontiers in Medicine [Category] COVID-19, [키워드] abdomen Algorithm Analysis applied Chest CT China clinical impact clinically conducted coronavirus disease COVID-19 COVID-19 patient COVID-19 patients CRP decision curve analysis develop development distinguishing effective Emergency enrolled evaluated Fever help identify independent predictor infectious acute abdomen management Model multivariable logistic regression nomogram Nucleic acid detection operator Patient PCT prediction Prediction model prediction scale receiver ROC selected surgeon surgery the epidemic validation validation cohort validation cohorts variables WBC [DOI] 10.3389/fmed.2021.601941 PMC 바로가기 [Article Type] Medicine
Development and validation of a simple-to-use nomogram to predict the deterioration and survival of patients with COVID-19COVID-19 환자의 악화 및 생존을 예측하는 사용하기 쉬운 노모그램의 개발 및 검증Research Published on 2021-04-162022-09-01 Journal: BMC Infectious Diseases [Category] MERS, 진단, [키워드] analyzed AUROC Blood cells build C-reactive protein characteristic Cohort COVID-19 COVID-19 pandemic COVID-19 patient COVID-19 patients cut-off cut-off point dataset decision curve analysis demonstrated Deterioration determine development Factor group Kaplan-Meier analysis Lactate lactate dehydrogenase LASSO Logistic regression lymphocyte multicenter nomogram operator parameter Patient patients with COVID-19 physician predict prediction Randomly receiver operating characteristic Result risk Risk factors significantly higher supplementary material survival survival rate Treatment strategies was used White blood cells [DOI] 10.1186/s12879-021-06065-z PMC 바로가기 [Article Type] Research
Development and validation of an individualized nomogram for early prediction of the duration of SARS-CoV-2 shedding in COVID-19 patients with non-severe diseaseMulticenter Study Published on 2021-04-152023-06-19 Journal: Journal of Zhejiang University. Science. B [Category] MERS, [키워드] coronavirus disease-2019 (COVID-19) duration of viral shedding nomogram severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) [DOI] 10.1631/jzus.B2000608 PMC 바로가기 [Article Type] Multicenter Study