Clinical Characteristics and Risk Factors of In-Hospital Mortality in Patients With Acute Myocardial Infarction With Subsequent Gastrointestinal Bleeding: A Single-Center Experience

Association between Blood Urea Nitrogen Level and In-Hospital Mortality in Patients with Acute Myocardial Infarction and Subsequent Gastrointestinal Bleeding

Background

Limited studies have explored the association between blood urea nitrogen (BUN) levels and in-hospital mortality in patients with acute myocardial infarction (AMI) and subsequent gastrointestinal bleeding (GIB). Our objective was to explore this correlation.

Methods

276 individuals with AMI and subsequent GIB were retrospectively included between January 2012 and April 2023. The predictive value of BUN for in-hospital mortality was assessed through receiver operating characteristic (ROC) curve. Logistic regression models were constructed to assess the relationship between BUN and in-hospital mortality. Propensity score weighting (PSW), sensitivity and subgroup analyses were used to further explore the association.

Results

Fifty-three (19.2%) patients died in the hospital. BUN levels were higher in non-survivors compared with the survivors [(11.17 ± 6.17) vs (8.09 ± 4.24), p = 0.001]. The ROC curve suggested that the optimal cut-off for BUN levels to predict in-hospital mortality was 8.45 mmol/L (AUC [area under the ROC curve] 0.678, 95% confidence interval [CI] 0.595-0.761, p < 0.001). Multivariable logistic regression showed that elevated BUN levels ( ≥ 8.45 mmol/L) were positively association with in-hospital mortality (odds ratio [OR] 4.01, 95% CI 1.55-10.42, p = 0.004). After PSW, sensitivity and subgroup analyses, the association remained significant.

Conclusions

Elevated BUN levels were associated with in-hospital mortality in patients with AMI and subsequent GIB.

Acute myocardial infarction post-gastrointestinal bleeding: A clinical dilemma with poor prognosis

BACKGROUND

Gastrointestinal bleeding (GIB) complicating acute myocardial infarction (AMI) is a severe clinical condition with treatment contradiction and poor prognosis. This study aimed to evaluate the rate of in-hospital mortality in patients with GIB who subsequently suffered from AMI and to explore the potential risk factors for this condition.

METHODS

In this retrospective study, a total of 77 patients diagnosed with GIB, who subsequently suffered from AMI, were enrolled from January 2013 to March 2022. Demographic, laboratory, and clinical data were collected. The in-hospital mortality was the outcome of interest. Logistic regression analysis was used to investigate the potential risk factors of in-hospital mortality.

RESULTS

Among the 77 patients included in this study, 62 (80.52%) were males. The mean age of patients was 65.88 ± 12.15 years, and 48 patients (62.34%) were non-ST-segment elevation myocardial infarction (NSTEMI). There were 16 (20.78%) cases of in-hospital deaths. The subjects who died showed higher levels of white blood cell count (13.05 ± 5.76 vs. 9.31 ± 4.07 × 10⁹/L, P = 0.003) and troponin I (TnI) (9.23 ± 9.17 vs. 4.12 ± 5.03 μg/L, P = 0.003). Besides, there were higher proportions of cardiogenic shock (81.25% vs. 26.23%, P < 0.001) and mechanical ventilator usage (75.0% vs. 11.48%, P < 0.001) among the patients who died. The multivariate logistic regression analysis showed that white blood cell count (odds ratio [OR] 1.19, 95% confidence interval [CI] 1.02-1.39, P = 0.030), cardiogenic shock (OR 12.18, 95% CI 3.06-48.39, P = 0.017), and mechanical ventilator usage (OR 7.21, 95% CI 1.28-40.51, P = 0.025) were independently associated with in-hospital mortality.

CONCLUSIONS

The in-hospital mortality of patients with GIB who subsequently develop AMI is high. White blood cell count, cardiogenic shock, and mechanical ventilator usage are independent predictors of in-hospital mortality.