Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal

L Wynants, B Van Calster, GS Collins, RD Riley… - bmj, 2020‏ - bmj.com
Objective To review and appraise the validity and usefulness of published and preprint
reports of prediction models for prognosis of patients with covid-19, and for detecting people …

Pre-existing health conditions and severe COVID-19 outcomes: an umbrella review approach and meta-analysis of global evidence

M Treskova-Schwarzbach, L Haas, S Reda, A Pilic… - BMC medicine, 2021‏ - Springer
Background This study applies an umbrella review approach to summarise the global
evidence on the risk of severe COVID-19 outcomes in patients with pre-existing health …

Predictors of in-hospital COVID-19 mortality: A comprehensive systematic review and meta-analysis exploring differences by age, sex and health conditions

AE Mesas, I Cavero-Redondo, C Álvarez-Bueno… - PloS one, 2020‏ - journals.plos.org
Objective Risk factors for in-hospital mortality in confirmed COVID-19 patients have been
summarized in numerous meta-analyses, but it is still unclear whether they vary according to …

Mortality predictive value of APACHE II and SOFA scores in COVID‐19 patients in the intensive care unit

MT Beigmohammadi, L Amoozadeh… - Canadian …, 2022‏ - Wiley Online Library
Background. COVID‐19 pandemic has become a global dilemma since December 2019.
Are the standard scores, such as acute physiology and chronic health evaluation (APACHE …

Antibody titers against SARS-CoV-2 decline, but do not disappear for several months

S Yamayoshi, A Yasuhara, M Ito, O Akasaka… - …, 2021‏ - thelancet.com
Background To develop an effective vaccine against a novel viral pathogen, it is important to
understand the longitudinal antibody responses against its first infection. Here we performed …

Impact of COVID-19 and comorbidities on health and economics: Focus on develo** countries and India

AK Singh, A Misra - Diabetes & Metabolic Syndrome: Clinical Research & …, 2020‏ - Elsevier
Background and aims Presence of comorbidities in patients with Coronavirus disease 2019
(COVID-19) have often been associated with increased in-hospital complications and …

Risk factors for severity on admission and the disease progression during hospitalisation in a large cohort of patients with COVID-19 in Japan

M Terada, H Ohtsu, S Saito, K Hayakawa, S Tsuzuki… - BMJ open, 2021‏ - bmjopen.bmj.com
Objectives To investigate the risk factors contributing to severity on admission. Additionally,
risk factors of worst severity and fatality were studied. Moreover, factors were compared …

Prognostic models in COVID-19 infection that predict severity: a systematic review

C Buttia, E Llanaj, H Raeisi-Dehkordi, L Kastrati… - European journal of …, 2023‏ - Springer
Current evidence on COVID-19 prognostic models is inconsistent and clinical applicability
remains controversial. We performed a systematic review to summarize and critically …

Machine learning based clinical decision support system for early COVID-19 mortality prediction

A Karthikeyan, A Garg, PK Vinod… - Frontiers in public …, 2021‏ - frontiersin.org
The coronavirus disease 2019 (COVID-19), caused by the virus SARS-CoV-2, is an acute
respiratory disease that has been classified as a pandemic by the World Health …

Machine-learning-based COVID-19 mortality prediction model and identification of patients at low and high risk of dying

MM Banoei, R Dinparastisaleh, AV Zadeh, M Mirsaeidi - Critical Care, 2021‏ - Springer
Background The coronavirus disease 2019 (COVID-19) pandemic caused by the SARS-
Cov2 virus has become the greatest health and controversial issue for worldwide nations. It …