A nomogram predicting severe COVID-19 based on a large study cohort from ChinaMulticenter Study Published on 2021-12-012023-06-19 Journal: The American journal of emergency medicine [Category] MERS, [키워드] COVID-19 nomogram predict Regression severe [DOI] 10.1016/j.ajem.2021.08.018 PMC 바로가기 [Article Type] Multicenter Study
Development and validation of a non-invasive model for diagnosing HBV-related liver cirrhosisArticle Published on 2021-12-012023-06-12 Journal: Clinica chimica acta; international journal of cli [Category] B형 간염, [키워드] Diagnosis Liver cirrhosis nomogram Non-invasive [DOI] 10.1016/j.cca.2021.11.004
Heart Failure Probability and Early Outcomes of Critically Ill Patients With COVID-19: A Prospective, Multicenter StudyCardiovascular Medicine Published on 2021-11-262022-10-31 Journal: Frontiers in Cardiovascular Medicine [Category] COVID-19, [키워드] 95% CI age albumin all-cause mortality analyzed applied assist bootstrap C-index cardiac function clinical suspicion coronavirus disease COVID-19 Critically ill patient enrolled failure Follow-up heart heart failure highlighting Ill IMPROVE In-hospital death laboratory-confirmed lymphocyte Mortality mortality rate multicenter multicenter study multivariate logistic regression nomogram NT-proBNP operator outcome Patient patients died predict Predictive predominant Primary outcome Probability Prognosis Prospective Prospective Study risk factor risk stratification screened significantly higher the patient total bilirubin unlikely with COVID-19 zone [DOI] 10.3389/fcvm.2021.738814 PMC 바로가기 [Article Type] Cardiovascular Medicine
Prediction Model for COVID-19 Vaccination Intention among the Mobile Population in China: Validation and StabilityArticle Published on 2021-10-212022-10-28 Journal: Vaccines [Category] COVID-19, [키워드] Analysis COVID-19 COVID-19 vaccination COVID-19 vaccine external validation Government index indicated investigated lift Mobile Model model validation multivariate logistic regression nomogram participant performed Population prediction Prediction model predictive power PSI R software receiver regression analysis Risk perception ROC screened Selection Shrinkage stability Support vaccination vaccination intention vaccination intentions validation Validity variable variables [DOI] 10.3390/vaccines9111221 PMC 바로가기 [Article Type] Article
Establishment of Routine Clinical Indicators-Based Nomograms for Predicting the Mortality in Patients With COVID-19Medicine Published on 2021-10-182022-10-31 Journal: Frontiers in Medicine [Category] COVID-19, [키워드] Admission Analysis clinical clinical manifestations clinician Cohort coronavirus disease COVID-19 death demographics enrolled Factor help hospital hospitalized patient hospitals identify In-hospital death include independent infiltration Laboratory Laboratory test less Mortality mortality risk multivariate logistic regression nine nomogram outcome overall mortality Patient patients with COVID-19 performed predict prediction prognostic reduce reduced Retrospective study risk of death robust routine the MuLBSTA score the patient validation cohort vital signs were recorded with COVID-19 [DOI] 10.3389/fmed.2021.706380 PMC 바로가기 [Article Type] Medicine
Development and validation of nomogram to predict severe illness requiring intensive care follow up in hospitalized COVID-19 cases입원 COVID-19 사례에서 집중 치료 후속 조치가 필요한 심각한 질병을 예측하기위한 Nomogram의 개발 및 검증Research Article Published on 2021-09-252022-09-01 Journal: BMC Infectious Diseases [Category] SARS, 진단, [키워드] 95% confidence interval Admission Analysis Area AUC bootstrap C-index calibration curve Course COVID-19 CRP Curve develop development enrolled evaluated facility Factor Final Follow-up Hosmer–Lemeshow test Hospitalized hospitalized COVID-19 ICU ICU admission include independent intensive care intensive care unit Laboratory laboratory-confirmed Laboratory-confirmed COVID-19 LDH Medical resources Missing data multivariable analysis multivariable logistic regression multivariable logistic regression models nomogram oxygen oxygen saturation parameter Patient patients PCT predict Predictive Predictive Factors predictive power reduce mortality Result Retrospective study selected severe COVID-19 severe COVID-19 patient severe COVID-19 patients Severity Score supplementary material supportive care troponin variable were used [DOI] 10.1186/s12879-021-06656-w PMC 바로가기 [Article Type] Research Article
Prediction of COVID-19-related Mortality and 30-Day and 60-Day Survival Probabilities Using a NomogramArticle Published on 2021-09-062023-07-02 Journal: Journal of Korean medical science [Category] SARS, [키워드] COVID-19 Mortality nomogram underlying diseases [DOI] 10.3346/jkms.2021.36.e248 PMC 바로가기
Specific Risk Factors for Fatal Outcome in Critically Ill COVID-19 Patients: Results from a European Multicenter StudyArticle Published on 2021-08-272022-10-30 Journal: Journal of Clinical Medicine [Category] COVID-19, [키워드] age baseline cardiovascular disease Comorbidities congestive heart failure contributing to COVID-19 COVID-19 patients Critically ill critically ill patients European Factor identify Ill independent kidney Lasso regression leukocyte liver logistic regression model lymphocyte Mortality multicenter study multifactorial nomogram Odds ratio outcome oxygen saturation Patient Platelet procalcitonin pulmonary disease response variable Result risk factor Risk factors risk of death SARS-CoV-2 SOFA score Specific statin subpopulation survival Treatment variable [DOI] 10.3390/jcm10173855 PMC 바로가기 [Article Type] Article
Validation and update of a multivariable prediction model for the identification and management of patients at risk for hepatocellular carcinomaResearch Published on 2021-08-192023-08-30 Journal: Clinical Proteomics [Category] E형 간염, [키워드] Alpha-Fetoprotein calibration Hepatocellular carcinoma logistic regression model nomogram Prothrombin induced by vitamin K absence-II [DOI] 10.1186/s12014-021-09326-w PMC 바로가기 [Article Type] Research
Clinical features and death risk factors in COVID-19 patients with cancer: a retrospective studyResearch Article Published on 2021-08-052022-10-28 Journal: BMC Infectious Diseases [Category] COVID-19, MERS, [키워드] addition Analysis Bladder cancer Breast cancer C-reactive protein C-reactive protein (CRP Cancer category clinical clinical feature Coronavirus disease 2019 COVID-19 COVID-19 patient COVID-19 patients CRP death diabetes difference disease Dyspnea enrolled Factor feature identify incidence laboratory result lung cancer median age Mortality much higher Neutrophil-to-lymphocyte ratio NLR nomogram non-severe group non-severe patients outcome performed predict Probability proportion PSM Result Retrospective study risk factor Risk factors severe group Severe patient severity significantly Smokers Spread supplementary material two group [DOI] 10.1186/s12879-021-06495-9 PMC 바로가기 [Article Type] Research Article