NDLI: An easy-to-use nomogram for predicting in-hospital mortality risk in COVID-19: a retrospective cohort study in a university hospital

Content Provider	Springer Nature : BioMed Central
Author	Acar, Hazal Cansu Can, Günay Karaali, Rıdvan Börekçi, Şermin Balkan, İlker İnanç Gemicioğlu, Bilun Konukoğlu, Dildar Erginöz, Ethem Erdoğan, Mehmet Sarper Tabak, Fehmi
Abstract	Background 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. Methods This retrospective study enrolled 709 patients who were over 18 years old and received inpatient treatment for COVID-19 disease. Multivariable Logistic Regression analysis was performed to assess the possible predictors of a fatal outcome. A nomogram was developed with the possible predictors and total point were calculated. Results Of the 709 patients treated for COVID-19, 75 (11%) died and 634 survived. The elder age, certain comorbidities (cancer, heart failure, chronic renal failure), dyspnea, lower levels of oxygen saturation and hematocrit, higher levels of C-reactive protein, aspartate aminotransferase and ferritin were independent risk factors for mortality. The prediction ability of total points was excellent (Area Under Curve = 0.922). Conclusions The nomogram developed in this study can be used by clinicians as a practical and effective tool in mortality risk estimation. So that with early diagnosis and intervention mortality in COVID-19 patients may be reduced.
Related Links	https://bmcinfectdis.biomedcentral.com/counter/pdf/10.1186/s12879-021-05845-x.pdf
Ending Page	12
Page Count	12
Starting Page	1
File Format	HTM / HTML
ISSN	14712334
DOI	10.1186/s12879-021-05845-x
Journal	BMC Infectious Diseases
Issue Number	1
Volume Number	21
Language	English
Publisher	BioMed Central
Publisher Date	2021-02-05
Access Restriction	Open
Subject Keyword	Infectious Diseases Parasitology Medical Microbiology Tropical Medicine Internal Medicine COVID-19 Risk factor Mortality Nomogram Fatal outcome
Content Type	Text
Resource Type	Article
Subject	Infectious Diseases
Journal Impact Factor	3.4/2023
5-Year Journal Impact Factor	3.3/2023

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