Analysis of clinical characteristics and prognostic factors of coronary heart disease complicated with gastrointestinal bleeding
10.3969/j.issn.1008-9691.2025.04.007
- VernacularTitle:冠心病合并消化道出血的临床特征及预后影响因素分析
- Author:
Xuxuan WANG
1
;
Jia XU
1
;
Congying SONG
1
;
Yuanqiang LU
1
Author Information
1. 浙江大学医学院附属第一医院急诊科,浙江 杭州 310000
- Publication Type:Journal Article
- Keywords:
Coronary heart disease;
Gastrointestinal bleeding;
Clinical characteristics;
Prognosis;
Influencing factors
- From:
Chinese Journal of Integrated Traditional and Western Medicine in Intensive and Critical Care
2025;32(4):421-427
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the clinical characteristics of patients with coronary heart disease complicated by gastrointestinal hemorrhage and explore the independent prognostic factors.Methods The clinical data of patients with coronary heart disease complicated by gastrointestinal hemorrhage who were treated in the department of emergency of the First Affiliated Hospital of Zhejiang University School of Medicine from January 1,2022 to December 31,2023 were collected,including general information:gender,age,smoking history,drinking history,gastrointestinal hemorrhage-related symptoms(hematemesis,melena,hematochezia,hematemesis combined with melena)or positive fecal occult blood test,past medical history[hypertension,diabetes,atrial fibrillation,liver cirrhosis,malignancy,prior gastrointestinal hemorrhage],coronary heart disease treatment history(history of coronary stent implantation,history of coronary artery bypass grafting),history of antithrombotic drugs,vital signs on admission[body temperature,pulse rate,systolic blood pressure,pulse oxygen saturation(SpO2)],laboratory tests[random blood glucose,white blood cell count(WBC),hemoglobin(Hb),platelet count(PLT),C-reactive protein(CRP),serum creatinine(SCr),blood urea nitrogen(BUN),serum albumin(Alb),alanine aminotransferase(ALT),aspartate aminotransferase(AST),MB isoenzyme of creatine kinase(CK-MB),troponin I(TNI),brain natriuretic peptide(BNP),fibrinogen(Fib),prothrombin time(PT),activated partial thromboplastin time(APTT),D-dimer,ejection fraction(EF)],treatment process[gastrointestinal hemorrhage management(gastrointestinal endoscopy examination or treatment,vascular interventional therapy),blood transfusion volume(red blood cells,plasma),ICU admission rate and admission time,hospital stay],the causes of gastrointestinal hemorrhage comprehensively inferred from imaging and gastrointestinal endoscopy.According to the treatment outcome,the patients were divided into the cured group and the death group,and the differences in clinical data between the two groups were compared.Multivariate Logistic regression analysis was used to identify the independent influencing factors of death outcome.The receiver operating characteristic(ROC)curves were plotted to compare the predictive value of each factor for prognosis.Results A total of 526 patients were enrolled,including 486 in the cured group and 40 in the death group.The causes of death were multiple organ dysfunction syndrome(22 cases),acute myocardial infarction(7 cases),malignant arrhythmia(2 cases),respiratory failure(2 cases),infection(2 cases),hemorrhagic shock(3 cases),acute cerebral infarction(1 case),and cerebral hemorrhage(1 case).No statistically significant differences were found between the two groups in terms of gender,age,smoking history,excessive drinking history,symptoms(hematemesis,hematochezia,positive fecal occult blood test,hematemesis combined with melena),past medical history(hypertension,atrial fibrillation,liver cirrhosis,tumor history,prior gastrointestinal hemorrhage),coronary heart disease treatment history,antithrombotic drug history,body temperature,pulse rate,SpO2,random blood glucose,WBC,Hb,PLT,ALT,AST,CK-MB,TNI,Fib,APTT,EF,gastrointestinal hemorrhage management,causes of gastrointestinal hemorrhage,red blood cell/plasma transfusion volume,and hospital stay(all P>0.05).Compared with the cured group,the death group had a lower rate of melena as the initial symptom,systolic blood pressure,and serum Alb level[melena rate:32.50%(13/40)vs.66.26%(322/486),systolic blood pressure(mmHg,1 mmHg≈0.133 kPa):104.71±8.52 vs.122.52±22.59,Alb(g/L):30.80(27.60,33.70)vs.34.70(32.65,39.05),all P<0.05],and a higher prevalence of diabetes,higher levels of CRP,SCr,BUN,BNP,PT,D-dimer,a higher ICU admission rate,and a longer ICU stay[diabetes prevalence:70.00%(28/40)vs.29.42%(143/486),CRP(mg/L):94.91(30.69,125.56)vs.2.95(1.17,24.31),SCr(μmol/L):200.0(123.0,407.0)vs.82.5(66.8,112.0),BUN(mmol/L):15.81(14.00,22.21)vs.7.61(5.00,14.49),BNP(ng/L):2 970.50(1 504.25,6 193.50)vs.442.00(141.25,1 590.25),PT(s):13.50(12.60,22.50)vs.12.25(11.58,13.30),D-dimer(μg/L):5601(4115,11352)vs.609(267,1350),ICU admission rate:67.50%(27/40)vs.6.99%(34/486),ICU stay(days):3(2,16)vs.0(0,0),all P<0.05].With clinical outcomes(death,cure)as the dependent variable,variables with statistical significance in univariate analysis were included in the multivariate Logistic regression analysis.The results showed that systolic blood pressure and serum Alb were independent protective factors for death outcome[odds ratio(OR)=0.960,0.818;95%confidence interval(95%CI)was 0.933-0.987,0.719-0.932;P=0.004,0.002;respectively],while CRP and SCr were independent risk factors for death outcome[OR=1.013,1.004;95%CI was 1.006-1.020,1.002-1.006,all P<0.001].Taking death outcome as the state variable and serum Alb,systolic blood pressure,SCr,and CRP as the test variables respectively,the ROC curves were plotted.The results indicated that serum Alb,systolic blood pressure,SCr,CRP and their combined detection all had high predictive efficacy for the death outcome[area under the curve(AUC)=0.825,0.775,0.862,0.819,0.928;95%CI was 0.766-0.885,0.729-0.820,0.818-0.905,0.703-0.934,0.891-0.965;sensitivity was 78.6%,92.8%,85.7%,85.7%,92.9%;specificity was 72.7%,72.5%,78.8%,83.8%,77.8%,all P<0.001].The combined detection of the 4 factors had the highest predictive efficacy(all P<0.05).Conclusions Systolic blood pressure,serum Alb,CRP,and SCr were independent influencing factors for the in-hospital death outcome of patients with coronary heart disease complicated by gastrointestinal hemorrhage.The Logistic regression model constructed based on these factors had better predictive efficacy for death outcome than single factor analysis.
