Construction and validation of a machine learning‐based nomogram: A tool to predict the risk of getting severe coronavirus disease 2019 (COVID‐19)머신 러닝 기반 노모그램의 구축 및 검증: 심각한 코로나바이러스 질병 2019(COVID-19)에 걸릴 위험을 예측하는 도구Original Research Published on 2021-03-132022-09-12 Journal: Immunity, Inflammation and Disease [Category] MERS, SARS, 진단, [키워드] 95% CI Analysis applied AUC benefit build C‐reactive protein calibration curve cDCs Clinical characteristics clinical feature clinician Cohort Comorbidity construction coronavirus disease Coronavirus disease 2019 COVID‐19 COVID‐19 patient COVID‐19 patients COVID‐19 Critical Critical illness CRP decision curve analysis develop disease distribution enrolled erythrocyte sedimentation erythrocyte sedimentation rate ESR evaluate facilitate Factor feature filtered FIVE Hospitalization identifying independent internal Lactate lactate dehydrogenase LDH Logistic regression machine learning management Medical resources multivariate multivariate logistic regression nomogram Patient potential risk predict Predictive predictor Prospective prospective cohort receiver operating characteristic Result risk ROC sedimentation rate selected severe coronavirus disease severe COVID‐19 prediction training training set Treatment validation cohort were used [DOI] 10.1002/iid3.421 PMC 바로가기 [Article Type] Original Research
Coagulopathy of hospitalised COVID-19: A Pragmatic Randomised Controlled Trial of Therapeutic Anticoagulation versus Standard Care as a Rapid Response to the COVID-19 Pandemic (RAPID COVID COAG – RAPID Trial): A structured summary of a study protocol for a randomised controlled trial입원한 COVID-19의 응고병증: COVID-19 유행병에 대한 신속한 대응으로서 치료용 항응고제 대 표준 치료의 실용적인 무작위 통제 시험(RAPID COVID COAG – RAPID 실험): 무작위 통제 실험을 위한 연구 프로토콜의 구조화된 요약Letter Published on 2021-03-102022-09-10 Journal: Trials [Category] SARS, 임상, 치료기술, [키워드] 1:1 absence acutely ill hospitalized medical patients Admission age allergy allocation concealment allocation sequence Alpha America and protocol Anticoagulant anticoagulation antiplatelet antithrombotic therapy apixaban arterial bleeding bleeding risk Blinding block sizes blood cell Brazil can not Canada Care Chain Reaction changed choice clinical trial clinically clinician Coagulation Coagulopathy Committee complex Composite computer-generated contraindication control group Controlled COVID COVID-19 Critical Critical illness cryoprecipitate D-dimer D-dimer value Dabigatran dalteparin Date death defined dependent on detect determine diagnosis of SARS-CoV-2 diagnostic Diagnostic imaging discretion disorder dissemination dose dual edoxaban electrocardiogram element elevated emergency room enoxaparin Enrollment evaluated exclusion criteria expected experimental group fibrinogen fondaparinux frozen plasma Health Organization hemoglobin heparin heparin-induced thrombocytopenia High dose high risk hospital Hospital admission hospitalised Hospitalized hospitalized patient hospitalized patients ICU ICU admission include inclusion criteria indicated individual inflammatory biomarkers Informed consent INR intensive care intensive care unit Interactive Web Response System intermediate dose Invasive mechanical ventilation involved Ireland isothermal amplification judgement limit LMWH Local low molecular weight low molecular weight heparin Major major bleeding mechanical ventilation Non-invasive non-invasive positive pressure ventilation nucleic acid number objective occur Open-label open-label trial outcome oxygen oxygen saturation participant Patient patients Phase 3 plasma Platelet Platelet count Platelets polymerase chain polymerase chain reaction positive pressure positive pressure ventilation power Pregnancy pressure ventilation protocol random random allocation randomised randomised controlled trial randomization Randomized controlled trial Rapid recruited red blood cell renal replacement therapy replacement therapy response responsible reverse transcriptase Reverse transcriptase polymerase chain reaction risk risk difference rivaroxaban room air Sample size Saudi Arabia secondary Secondary outcomes Standard standard care status stratified study population Study protocol supplementary material symptomatic the patient the United State therapeutic anticoagulation therapeutic dose therapy thrombocytopenia Thromboembolism Thromboprophylaxis tinzaparin transcriptase transfusion treated Trial Trial registration two-sided ULN unfractionated heparin United Arab Emirates United States Venous Thromboembolism Ventilator-free days Version Warfarin website World Health Organization [DOI] 10.1186/s13063-021-05076-0 PMC 바로가기 [Article Type] Letter
Hypertension is a clinically important risk factor for critical illness and mortality in COVID-19: A meta-analysisMeta-Analysis Published on 2021-03-102023-07-13 Journal: Nutrition, metabolism, and cardiovascular diseases [Category] SARS, [키워드] COVID-19 Critical illness hypertension Meta-analysis Mortality [DOI] 10.1016/j.numecd.2020.12.009 PMC 바로가기 [Article Type] Meta-Analysis
A neutrophil activation signature predicts critical illness and mortality in COVID-19호중구 활성화 시그니처는 COVID-19의 심각한 질병 및 사망률을 예측합니다Article Published on 2021-03-092022-09-11 Journal: Blood advances [Category] SARS, 바이오마커, [키워드] Algorithm analyzed carried Clinical data clinical decompensation Cohort colony-stimulating factor COVID-19 Critical Critical illness cross-sectional database decompensation early elevations Elevation evidence of granulocyte granulocyte colony-stimulating factor health system hepatocyte growth factor Hospitalization hospitalized patient hospitalized patients Hyperactivation identify immune increased mortality intensive care intensive care unit interleukin interleukin-8 involved lipocalin-2 marker mechanism molecular molecular markers Mortality mortality rates neutrophil neutrophil activation neutrophil count Pathogenesis Patient patients plasma predict predicted predictor proteomic resistin risk severe COVID-19 the strongest These data transfer with COVID-19 [DOI] 10.1182/bloodadvances.2020003568 PMC 바로가기 [Article Type] Article
SARS-CoV-2 in Pregnancy—The First Wave임신 중 SARS-CoV-2—첫 번째 물결Article Published on 2021-03-052022-09-10 Journal: Medicina [Category] SARS, 치료기술, [키워드] abortion Admission Asymptomatic carried caused Cesarean section cesarean sections Complication Contact contact with coronavirus Coronavirus infections cough COVID-19 Critical Critical illness deaths disease environmental exposure evaluate fetal FIVE gestation growth headache highlight hospital Hospitalized indication indications induction of labor infectious labor material maternal deaths maternity hospital membranes mild illness MOST Nasopharyngeal swab nine Obstetric positive Pregnancy pregnancy complications pregnancy outcome Pregnant woman pregnant women Preterm birth preterm labor public health emergency retrospective RT-PCR rupture rupture of membranes SARS virus SARS-CoV-2 SARS-COV-2 infection severe or critical illness severity Stillbirth the disease threatened abortion Transmission vertical transmission virus Wave women [DOI] 10.3390/medicina57030241 PMC 바로가기 [Article Type] Article
The safety of anaesthetists and intensivists during the first COVID-19 surge supports extension of use of airborne protection PPE to ward staff첫 번째 COVID-19 급증 동안 마취과 의사와 중환자의 안전은 와드 직원에 대한 공중 보호 PPE 사용의 확장을 지원합니다Article Published on 2021-03-012022-09-11 Journal: Clinical medicine (London, England) [Category] SARS, 변종, [키워드] airway management anaesthesia anticipated Care close contact contact with coughing COVID-19 COVID-19 pandemic Critical Critical care Critical illness death extension Health highest hospital implication increased risk Infection infection control lower risk maintain management nosocomial Nosocomial transmission patients Personal protective equipment PPE precautions Protective reduce risk Safety SARS-CoV-2 virus significantly higher Support the SARS-CoV-2 virus Transmissibility Transmission urgency variant vulnerable patients [DOI] 10.7861/clinmed.2020-0983 PMC 바로가기 [Article Type] Article
Incidence of thrombotic complications and overall survival in hospitalized patients with COVID-19 in the second and first waveArticle Published on 2021-03-012023-07-13 Journal: Thrombosis research [Category] SARS, [키워드] Anticoagulants blood coagulation disorders COVID-19 Critical illness Diagnostic imaging incidence Venous Thromboembolism [DOI] 10.1016/j.thromres.2020.12.019 PMC 바로가기
Renal impairment and its impact on clinical outcomes in patients who are critically ill with COVID-19: a multicentre observational studyObservational Study Published on 2021-03-012023-07-06 Journal: Anaesthesia [Category] SARS, [키워드] acute kidney disease Chronic kidney disease COVID‐19 Critical illness [DOI] 10.1111/anae.15293 [Article Type] Observational Study
Development and validation of an online model to predict critical COVID-19 with immune-inflammatory parametersResearch Published on 2021-02-182022-10-30 Journal: Journal of Intensive Care [Category] COVID-19, [키워드] 95% CI 95% confidence interval Admission Algorithm applied AUC C reactive protein China Chinese clinical Cohort collected COVID-19 COVID-19 patient COVID-19 patients Critical Critical illness dataset death decision defined develop development discharge disease dysfunction external validation facilitate feature Gradient high risk hospital identify Immune-inflammatory parameters Inflammatory Intensive intensive care interleukin 2 Intervention invasive ventilation lymphocyte machine learning Machine learning algorithms network Neural Occurrence Online model outcome parameter parameters Patient predict Predictive procalcitonin receiving receptor Registered registry Regression reported Result Selection severity Shrinkage supplementary material support vector machine SVM training dataset tree validation cohort [DOI] 10.1186/s40560-021-00531-1 PMC 바로가기 [Article Type] Research
Development and validation of a prognostic COVID-19 severity assessment (COSA) score and machine learning models for patient triage at a tertiary hospitalResearch Published on 2021-02-052022-10-30 Journal: Journal of Translational Medicine [Category] COVID-19, MERS, [키워드] Accuracy acute respiratory syndrome Admission Algorithm artificial intelligence assist AUROC automated Bern C-reactive protein Care characteristic clinical clinical outcomes clinical risk comparable composite endpoint contribute coronavirus COVID-19 severity Critical illness death demographic data development first positive glomerular filtration rate Glucose group Health hemoglobin hospital Hospitalization intensive care Laboratory leucocyte machine learning model ML model Negative predictive value outcome parameters Patient patient triage performed positive Positive predictive value predict Predictive prognostic resources Result risk risk score risk stratification SARS-CoV-2 sodium statistical learning Stratification Support Switzerland Test tested training data validation cohort were used [DOI] 10.1186/s12967-021-02720-w PMC 바로가기 [Article Type] Research