A New Coronavirus Estimation Global Score for Predicting Mortality During Hospitalization in Patients with COVID-19
Abstract. Objective:. Coronavirus disease 2019 (COVID-19) exists as a pandemic. Mortality during hospitalization is multifactorial, and there is urgent need for a risk stratification model to predict in-hospital death among COVID-19 patients. Here we aimed to construct a risk score system for early...
Saved in:
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wolters Kluwer Health/LWW
2022-06-01
|
| Series: | Cardiology Discovery |
| Online Access: | http://journals.lww.com/10.1097/CD9.0000000000000052 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849701458253971456 |
|---|---|
| author | Hesong Zeng Xingwei He Wanjun Liu Jing Kan Liqun He Jinhe Zhao Cynthia Chen Junjie Zhang Shaoliang Chen Xiaoxia Fu Tianyu Xu |
| author_facet | Hesong Zeng Xingwei He Wanjun Liu Jing Kan Liqun He Jinhe Zhao Cynthia Chen Junjie Zhang Shaoliang Chen Xiaoxia Fu Tianyu Xu |
| author_sort | Hesong Zeng |
| collection | DOAJ |
| description | Abstract. Objective:. Coronavirus disease 2019 (COVID-19) exists as a pandemic. Mortality during hospitalization is multifactorial, and there is urgent need for a risk stratification model to predict in-hospital death among COVID-19 patients. Here we aimed to construct a risk score system for early identification of COVID-19 patients at high probability of dying during in-hospital treatment.
Methods:. In this retrospective analysis, a total of 821 confirmed COVID-19 patients from 3 centers were assigned to developmental (n = 411, between January 14, 2020 and February 11, 2020) and validation (n = 410, between February 14, 2020 and March 13, 2020) groups. Based on demographic, symptomatic, and laboratory variables, a new Coronavirus estimation global (CORE-G) score for prediction of in-hospital death was established from the developmental group, and its performance was then evaluated in the validation group.
Results:. The CORE-G score consisted of 18 variables (5 demographics, 2 symptoms, and 11 laboratory measurements) with a sum of 69.5 points. Goodness-of-fit tests indicated that the model performed well in the developmental group (H = 3.210, P = 0.880), and it was well validated in the validation group (H = 6.948, P = 0.542). The areas under the receiver operating characteristic curves were 0.955 in the developmental group (sensitivity, 94.1%; specificity, 83.4%) and 0.937 in the validation group (sensitivity, 87.2%; specificity, 84.2%). The mortality rate was not significantly different between the developmental (n = 85,20.7%) and validation (n = 94, 22.9%, P = 0.608) groups.
Conclusions:. The CORE-G score provides an estimate of the risk of in-hospital death. This is the first step toward the clinical use of the CORE-G score for predicting outcome in COVID-19 patients. |
| format | Article |
| id | doaj-art-ad4a41be25d44f1bab3b2f5b7f31e55e |
| institution | DOAJ |
| issn | 2096-952X 2693-8499 |
| language | English |
| publishDate | 2022-06-01 |
| publisher | Wolters Kluwer Health/LWW |
| record_format | Article |
| series | Cardiology Discovery |
| spelling | doaj-art-ad4a41be25d44f1bab3b2f5b7f31e55e2025-08-20T03:17:55ZengWolters Kluwer Health/LWWCardiology Discovery2096-952X2693-84992022-06-0122697610.1097/CD9.0000000000000052202206000-00001A New Coronavirus Estimation Global Score for Predicting Mortality During Hospitalization in Patients with COVID-19Hesong ZengXingwei HeWanjun LiuJing KanLiqun HeJinhe ZhaoCynthia ChenJunjie ZhangShaoliang ChenXiaoxia FuTianyu XuAbstract. Objective:. Coronavirus disease 2019 (COVID-19) exists as a pandemic. Mortality during hospitalization is multifactorial, and there is urgent need for a risk stratification model to predict in-hospital death among COVID-19 patients. Here we aimed to construct a risk score system for early identification of COVID-19 patients at high probability of dying during in-hospital treatment. Methods:. In this retrospective analysis, a total of 821 confirmed COVID-19 patients from 3 centers were assigned to developmental (n = 411, between January 14, 2020 and February 11, 2020) and validation (n = 410, between February 14, 2020 and March 13, 2020) groups. Based on demographic, symptomatic, and laboratory variables, a new Coronavirus estimation global (CORE-G) score for prediction of in-hospital death was established from the developmental group, and its performance was then evaluated in the validation group. Results:. The CORE-G score consisted of 18 variables (5 demographics, 2 symptoms, and 11 laboratory measurements) with a sum of 69.5 points. Goodness-of-fit tests indicated that the model performed well in the developmental group (H = 3.210, P = 0.880), and it was well validated in the validation group (H = 6.948, P = 0.542). The areas under the receiver operating characteristic curves were 0.955 in the developmental group (sensitivity, 94.1%; specificity, 83.4%) and 0.937 in the validation group (sensitivity, 87.2%; specificity, 84.2%). The mortality rate was not significantly different between the developmental (n = 85,20.7%) and validation (n = 94, 22.9%, P = 0.608) groups. Conclusions:. The CORE-G score provides an estimate of the risk of in-hospital death. This is the first step toward the clinical use of the CORE-G score for predicting outcome in COVID-19 patients.http://journals.lww.com/10.1097/CD9.0000000000000052 |
| spellingShingle | Hesong Zeng Xingwei He Wanjun Liu Jing Kan Liqun He Jinhe Zhao Cynthia Chen Junjie Zhang Shaoliang Chen Xiaoxia Fu Tianyu Xu A New Coronavirus Estimation Global Score for Predicting Mortality During Hospitalization in Patients with COVID-19 Cardiology Discovery |
| title | A New Coronavirus Estimation Global Score for Predicting Mortality During Hospitalization in Patients with COVID-19 |
| title_full | A New Coronavirus Estimation Global Score for Predicting Mortality During Hospitalization in Patients with COVID-19 |
| title_fullStr | A New Coronavirus Estimation Global Score for Predicting Mortality During Hospitalization in Patients with COVID-19 |
| title_full_unstemmed | A New Coronavirus Estimation Global Score for Predicting Mortality During Hospitalization in Patients with COVID-19 |
| title_short | A New Coronavirus Estimation Global Score for Predicting Mortality During Hospitalization in Patients with COVID-19 |
| title_sort | new coronavirus estimation global score for predicting mortality during hospitalization in patients with covid 19 |
| url | http://journals.lww.com/10.1097/CD9.0000000000000052 |
| work_keys_str_mv | AT hesongzeng anewcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT xingweihe anewcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT wanjunliu anewcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT jingkan anewcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT liqunhe anewcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT jinhezhao anewcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT cynthiachen anewcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT junjiezhang anewcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT shaoliangchen anewcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT xiaoxiafu anewcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT tianyuxu anewcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT hesongzeng newcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT xingweihe newcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT wanjunliu newcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT jingkan newcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT liqunhe newcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT jinhezhao newcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT cynthiachen newcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT junjiezhang newcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT shaoliangchen newcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT xiaoxiafu newcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 AT tianyuxu newcoronavirusestimationglobalscoreforpredictingmortalityduringhospitalizationinpatientswithcovid19 |