TY - JOUR AU - Acar, Hazal Cansu AU - Can, Günay AU - Karaali, Rıdvan AU - Börekçi, Şermin AU - Balkan, İlker İnanç AU - Gemicioğlu, Bilun AU - Konukoğlu, Dildar AU - Erginöz, Ethem AU - Erdoğan, Mehmet Sarper AU - Tabak, Fehmi PY - 2021 DA - 2021/02/05 TI - An easy-to-use nomogram for predicting in-hospital mortality risk in COVID-19: a retrospective cohort study in a university hospital JO - BMC Infectious Diseases SP - 148 VL - 21 IS - 1 AB - One-fifth of COVID-19 patients are seriously and critically ill cases and have a worse prognosis than non-severe cases. Although there is no specific treatment available for COVID-19, early recognition and supportive treatment may reduce the mortality. The aim of this study is to develop a functional nomogram that can be used by clinicians to estimate the risk of in-hospital mortality in patients hospitalized and treated for COVID-19 disease, and to compare the accuracy of model predictions with previous nomograms. SN - 1471-2334 UR - https://doi.org/10.1186/s12879-021-05845-x DO - 10.1186/s12879-021-05845-x ID - Acar2021 ER -