tetano
Editor, Senior Moderator
Virol J
. 2021 Mar 31;18(1):67.
doi: 10.1186/s12985-021-01538-8.
Scores based on neutrophil percentage and lactate dehydrogenase with or without oxygen saturation predict hospital mortality risk in severe COVID-19 patients
Xiude Fan[SUP] #[/SUP][SUP] 1 [/SUP], Bin Zhu[SUP] #[/SUP][SUP] 2 [/SUP], Masoud Nouri-Vaskeh[SUP] #[/SUP][SUP] 3 [/SUP], Chunguo Jiang[SUP] #[/SUP][SUP] 4 [/SUP], Xiaokai Feng[SUP] #[/SUP][SUP] 4 [/SUP], Kyle Poulsen[SUP] 5 [/SUP], Behzad Baradaran[SUP] 3 [/SUP], Jiansong Fang[SUP] 6 7 [/SUP], Erfan Ahmadi Ade[SUP] 3 [/SUP], Akbar Sharifi[SUP] 8 [/SUP], Zhigang Zhao[SUP] 2 [/SUP], Qunying Han[SUP] 1 [/SUP], Yong Zhang[SUP] 9 [/SUP], Liming Zhang[SUP] 10 [/SUP], Zhengwen Liu[SUP] 11 [/SUP]
Affiliations
Abstract
Background: Risk scores are needed to predict the risk of death in severe coronavirus disease 2019 (COVID-19) patients in the context of rapid disease progression.
Methods: Using data from China (training dataset, n = 96), prediction models were developed by logistic regression and then risk scores were established. Leave-one-out cross validation was used for internal validation and data from Iran (test dataset, n = 43) was used for external validation.
Results: A NSL model (area under the curve (AUC) 0.932) and a NL model (AUC 0.903) were developed based on neutrophil percentage and lactate dehydrogenase with and without oxygen saturation (SaO[SUB]2[/SUB]) using the training dataset. AUCs of the NSL and NL models in the test dataset were 0.910 and 0.871, respectively. The risk scoring systems corresponding to these two models were established. The AUCs of the NSL and NL scores in the training dataset were 0.928 and 0.901, respectively. At the optimal cut-off value of NSL score, the sensitivity and specificity were 94% and 82%, respectively. The sensitivity and specificity of NL score were 94% and 75%, respectively.
Conclusions: These scores may be used to predict the risk of death in severe COVID-19 patients and the NL score could be used in regions where patients' SaO[SUB]2[/SUB] cannot be tested.
Keywords: Hospital mortality; Prediction; SARS-CoV-2; Severe COVID-19.
. 2021 Mar 31;18(1):67.
doi: 10.1186/s12985-021-01538-8.
Scores based on neutrophil percentage and lactate dehydrogenase with or without oxygen saturation predict hospital mortality risk in severe COVID-19 patients
Xiude Fan[SUP] #[/SUP][SUP] 1 [/SUP], Bin Zhu[SUP] #[/SUP][SUP] 2 [/SUP], Masoud Nouri-Vaskeh[SUP] #[/SUP][SUP] 3 [/SUP], Chunguo Jiang[SUP] #[/SUP][SUP] 4 [/SUP], Xiaokai Feng[SUP] #[/SUP][SUP] 4 [/SUP], Kyle Poulsen[SUP] 5 [/SUP], Behzad Baradaran[SUP] 3 [/SUP], Jiansong Fang[SUP] 6 7 [/SUP], Erfan Ahmadi Ade[SUP] 3 [/SUP], Akbar Sharifi[SUP] 8 [/SUP], Zhigang Zhao[SUP] 2 [/SUP], Qunying Han[SUP] 1 [/SUP], Yong Zhang[SUP] 9 [/SUP], Liming Zhang[SUP] 10 [/SUP], Zhengwen Liu[SUP] 11 [/SUP]
Affiliations
- PMID: 33789703
- DOI: 10.1186/s12985-021-01538-8
Abstract
Background: Risk scores are needed to predict the risk of death in severe coronavirus disease 2019 (COVID-19) patients in the context of rapid disease progression.
Methods: Using data from China (training dataset, n = 96), prediction models were developed by logistic regression and then risk scores were established. Leave-one-out cross validation was used for internal validation and data from Iran (test dataset, n = 43) was used for external validation.
Results: A NSL model (area under the curve (AUC) 0.932) and a NL model (AUC 0.903) were developed based on neutrophil percentage and lactate dehydrogenase with and without oxygen saturation (SaO[SUB]2[/SUB]) using the training dataset. AUCs of the NSL and NL models in the test dataset were 0.910 and 0.871, respectively. The risk scoring systems corresponding to these two models were established. The AUCs of the NSL and NL scores in the training dataset were 0.928 and 0.901, respectively. At the optimal cut-off value of NSL score, the sensitivity and specificity were 94% and 82%, respectively. The sensitivity and specificity of NL score were 94% and 75%, respectively.
Conclusions: These scores may be used to predict the risk of death in severe COVID-19 patients and the NL score could be used in regions where patients' SaO[SUB]2[/SUB] cannot be tested.
Keywords: Hospital mortality; Prediction; SARS-CoV-2; Severe COVID-19.