Nonvariceal upper GI hemorrhage after percutaneous coronary intervention for acute myocardial infarction: a national analysis over 11 months

Validation of prediction tools for GI bleeding in patients on dual anti-platelet therapy after percutaneous coronary intervention

BACKGROUND AND AIMS

The management of dual anti-platelet therapy after percutaneous coronary intervention (PCI) and GI bleeding (GIB) remains a clinical dilemma. We sought to identify predictors of GIB and recurrent bleeding and to determine whether recurrent bleeding increases the risk of major adverse cardiovascular events (MACEs).

METHODS

In this single-center retrospective study, patients undergoing PCI were identified. The primary and secondary endpoints were GIB at 180 days and recurrent bleeding or MACE at 365 days. Logistic regression was used to identify predictors of GIB and recurrent bleeding. Cox proportional hazards modeling was used to determine whether recurrent bleeding can predict a MACE.

RESULTS

Five hundred thirty-six patients were included. On multivariable analysis, PCI for acute coronary syndrome was associated with a 95% increased odds of GIB (P < .001). The P2Y12 inhibitor was continued in >90% of patients, which trended toward significance for recurrent bleeding (P < .10). The HAS-BLED score (Hypertension, Abnormal renal and liver function, Stroke, Bleeding tendency or predisposition, Labile INRs, Elderly, Drugs), including a labile international normalized ratio and prior major bleeding, was strongly associated with recurrent bleeding (P ≤ .009). Recurrent bleeding was associated with a 115% increased risk of MACEs (P = .02). We derived a novel risk score, named the SIGE score ([S]TEMI at PCI, having a labile [I]NR at PCI, index [G]IB within 180 days of PCI, and previous precatheterization [E]ndoscopy within 6 months), to predict recurrent bleeding at 365 days with a high predictive accuracy (area under the curve, .773; 95% confidence interval, .702-.845).

CONCLUSIONS

The SIGE score may help to predict recurrent bleeding, which was shown to be associated with an increased risk of MACEs. Further external validation is needed.

Recurrent Non-Variceal Upper Gastrointestinal Bleeding among Patients Receiving Dual Antiplatelet Therapy

BACKGROUND

Patients undergoing dual antiplatelet therapy (DAPT) may experience recurrent gastrointestinal bleeding (GIB). We investigated the clinical characteristics and risk factors for recurrent non-variceal upper gastrointestinal bleeding (NVUGIB) in patients who had experienced NVUGIB while receiving DAPT.

METHODS

We enrolled patients diagnosed with NVUGIB while receiving DAPT between 2006 and 2020. Definite bleeding was confirmed by esophagogastroduodenoscopy in all NVUGIB patients.

RESULTS

A total of 124 patients were diagnosed with NVUGIB while receiving DAPT. They were predominantly male (n = 103, 83.1%), bleeding mostly from the stomach (n = 94, 75.8%) and had peptic ulcers (n = 72, 58.1%). After the successful hemostasis of NVUGIB, 36 patients (29.0%) experienced at least one episode of recurrent upper GIB, 19 patients (15.3%) died, and 7 (5.6%) patients had a bleeding-related death. Multivariate analysis showed that age was a significant factor for re-bleeding (odds ratio [OR], 1.050; 95% confidence interval [CI]: 1.001-1.102; p-value: 0.047), all-cause mortality (OR, 1.096; 95% CI: 1.020-1.178, p = 0.013), and re-bleeding-related mortality (OR, 1.187; 95% CI: 1.032-1.364, p-value: 0.016). In Kaplan-Meier analysis, the cumulative probabilities of re-bleeding, death, and bleeding-related death were significantly higher in patients aged 70 and older (p = 0.008, <0.001, and 0.009, respectively).

CONCLUSIONS

Clinicians should be cautious about re-bleeding and mortality in elderly patients who experience NVUGIB while receiving DAPT.

Incidence, associated outcomes, and predictors of upper gastrointestinal bleeding following acute myocardial infarction: a SWEDEHEART-based nationwide cohort study

Aims

Of all spontaneous bleeding complications in patients with acute myocardial infarction (MI), upper gastrointestinal bleeding (UGIB) is common and of specific interest since it could be prevented by several prophylactic measures. We aimed to determine the incidence, associated outcomes, and predictors of UGIB following acute MI.

Methods and results

All patients with acute MI enrolled in the SWEDEHEART (Swedish Web-system for Enhancement and Development of Evidence-based care in Heart disease Evaluated According to Recommended Therapies) registry from January 2007 to June 2016 and discharged alive on any antithrombotic therapy (n = 149 477) were followed regarding UGIB for 1 year. Associated outcomes were determined by Cox proportional hazards regression with UGIB as a time-dependent covariate, adjusting for baseline characteristics, invasive treatment, and medical treatment at discharge. Predictors of UGIB were determined by logistic regression and machine learning models.

At 1 year, UGIB had occurred in 2230 patients (cumulative incidence 1.5%) and was significantly associated with an increased risk of all-cause death [hazard ratio (HR) 2.86, 95% confidence interval (CI) 2.58–3.16] and stroke (HR 1.80, 95% CI 1.32–2.45) but not with recurrent MI (HR 1.17, 95% CI 0.97–1.42). The most important predictors of UGIB were haemoglobin, age, systolic blood pressure, blood glucose, smoking status, previous upper gastrointestinal bleeding, and antithrombotic and gastroprotective treatment.

Conclusion

After acute MI, readmission because of UGIB is common and significantly associated with poor prognosis. By using machine learning in addition to traditional logistic regression, new predictors of UGIB, such as blood glucose and smoking status, were identified.

Readmissions Rates After Myocardial Infarction for Gastrointestinal Bleeding: A National Perspective

BACKGROUND AND AIMS

Gastrointestinal (GI) bleeding is one most common complications of acute myocardial infarction (AMI). We aimed to determine the incidence, in-hospital outcomes, associated healthcare burden and predictors of GI bleeding within 30 days after AMI.

METHODS

Data were extracted from Nationwide Readmission Database 2010-2014. Patients were included if they had a primary diagnosis of ST or non-ST elevation myocardial infarction. Exclusion criteria were admissioned in December, aged less than 18 years and a diagnosis of type-2 MI. The primary outcome was 30-day readmission with upper or lower GI bleeding. Secondary outcomes were in-hospital mortality, etiology of bleeding, in-hospital complications, procedures, length of stay, and total hospitalization charges. Independent predictors of readmission were identified using multivariate logistic regression analysis.

RESULTS

Out of the 3,520,241 patients discharged with ACS, 10,018 (0.3%) were readmitted with GI bleeding within 30 days of discharge. 60% had lower GI bleeding. Most common sources suspected were GI cancers in 17% and hemorrhoidal bleeding in 10%. In hospital mortality rate for readmission was 3.6%. Independent predictors of readmission were age, Charlson comorbidity score, history of chronic kidney disease, GI tumor, inflammatory bowel disease and artificial heart valve. Type of treatment for AMI had no impact on readmission. Patients readmitted had higher rates of shock (adjusted odds ratio, 1.48, 95% CI 1.01-3.72).

CONCLUSIONS

In the first nationwide study, 30-day incidence of GI bleeding after AMI is 0.3%. GI bleeding complicating AMI carries a substantial in-hospital mortality and cost of care.

Incidence and Risk Factors for 30-Day Readmission after Inpatient Chemotherapy among Acute Lymphoblastic Leukemia Patients

Chemotherapy for acute lymphoblastic leukemia (ALL) patients is complex and intense, resulting in a high readmission rate. We aimed to identify the incidence, causes, and risk factors of readmission following inpatient chemotherapy among ALL patients, using 2016 National Readmission Database. We applied three different definitions of 30-day readmission: (1) nonelective readmission based on readmission type, (2) unplanned readmission defined by CMS, and (3) unintentional readmission, combining (1) and (2). We used unweighted multivariable Poisson regression with robust variance estimates for risk factors analysis, including patient-, hospital-, and admission-related characteristics. Percentage for nonelective, unplanned, and unintentional readmission were 33.3%, 22.4%, and 18.5%, respectively. The top three causes for unplanned readmissions were neutropenia/agranulocytosis (27.8%), septicemia (15.3%), and pancytopenia (11.5%). Risk ratios for unintentional readmission were 1.21 (1.08–1.36) for nonelective vs. elective admission, 1.19 (1.06–1.33) for public vs. private insurance enrollees, 0.96 (0.95–0.98) for each day of hospital stay, 0.77 (0.62–0.95) for large teaching and 0.87 (0.70–1.08) for small teaching vs. nonteaching hospitals. Possible strategies to reduce readmission among ALL patients could be shortening the gap in quality of care among teaching vs. non-teaching hospitals, understanding the difference between privately vs. publicly insured patients, and avoiding aggressive discharge after chemotherapy.