Ming Zhang1, Demin Liu1, Qian Wang1, Xue Geng1, Qian Hou1, Guoqiang Gu1, Ruiqin Xie1, Wei Cui2. 1. Department of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, PR China. 2. Department of Cardiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, PR China. Electronic address: cuiweihb2h@163.com.
Abstract
OBJECTIVE: Although the early use of a risk stratification score in gastrointestinal bleeding (GIB) is recommended, so far there has been no risk score for GIB in patients admitted to the cardiology department. To describe the risk factors of GIB and develop a new risk score model in patients admitted to the cardiology department. METHODS: A total of 633 inpatients with GIB from January 2014 to December 2018 were recruited, 4,231 inpatients with non-GIB were recruited as the control group. Multivariate logistic regression was used to describe the risk factors of GIB. A new risk score model was developed in the derivation cohort. Accuracy to predict GIB was assessed by the area under the receiver operating characteristic (AUROC) curve in the validation cohort. RESULTS: Male, coronary heart disease, hypertension, stroke, systolic blood pressure, hematocrit, plasma albumin, and alanine aminotransferase (ALT) were associated with GIB. The model had a high predictive accuracy (AUROC 0.816 and 95% CI, 0.792-0.839), which was supported by the validation cohort (AUROC 0.841 and 95% CI, 0.807~0.874). Besides, the prediction of the model was better than HAS-BLED score (AUROC 0.557; 95% CI, 0.513~0.602) and CRUSADE score (AUROC 0.791; 95%CI, 0.757~0.825), respectively. Among the inpatients with a score of 0-3, 4-7, and ≥8 points, the incidence of GIB, the proportion of inpatients requiring suspended red blood cells transfusion, length of stay, and in-hospital mortality all increased gradually (P< 0.001). CONCLUSIONS: Male, coronary heart disease, hypertension, stroke, systolic blood pressure, hematocrit, plasma albumin, and ALT are associated with GIB. The new risk score model is an accurate risk score that predicts GIB in patients admitted to the cardiology department.
OBJECTIVE: Although the early use of a risk stratification score in gastrointestinal bleeding (GIB) is recommended, so far there has been no risk score for GIB in patients admitted to the cardiology department. To describe the risk factors of GIB and develop a new risk score model in patients admitted to the cardiology department. METHODS: A total of 633 inpatients with GIB from January 2014 to December 2018 were recruited, 4,231 inpatients with non-GIB were recruited as the control group. Multivariate logistic regression was used to describe the risk factors of GIB. A new risk score model was developed in the derivation cohort. Accuracy to predict GIB was assessed by the area under the receiver operating characteristic (AUROC) curve in the validation cohort. RESULTS: Male, coronary heart disease, hypertension, stroke, systolic blood pressure, hematocrit, plasma albumin, and alanine aminotransferase (ALT) were associated with GIB. The model had a high predictive accuracy (AUROC 0.816 and 95% CI, 0.792-0.839), which was supported by the validation cohort (AUROC 0.841 and 95% CI, 0.807~0.874). Besides, the prediction of the model was better than HAS-BLED score (AUROC 0.557; 95% CI, 0.513~0.602) and CRUSADE score (AUROC 0.791; 95%CI, 0.757~0.825), respectively. Among the inpatients with a score of 0-3, 4-7, and ≥8 points, the incidence of GIB, the proportion of inpatients requiring suspended red blood cells transfusion, length of stay, and in-hospital mortality all increased gradually (P< 0.001). CONCLUSIONS: Male, coronary heart disease, hypertension, stroke, systolic blood pressure, hematocrit, plasma albumin, and ALT are associated with GIB. The new risk score model is an accurate risk score that predicts GIB in patients admitted to the cardiology department.
Authors: Pareen Vora; Ronald Herrera; Arto Pietila; Ulrich Mansmann; Gunnar Brobert; Markku Peltonen; Veikko Salomaa Journal: World J Gastroenterol Date: 2022-05-14 Impact factor: 5.374