New predictive model for acute gastrointestinal bleeding in patients taking oral anticoagulants: A cohort study

The effect of antiplatelet therapy and oral anticoagulants on the accuracy of faecal immunochemical testing

INTRODUCTION

Faecal immunochemical testing (FIT) has been adopted to identify patients requiring further investigations on the colorectal cancer (CRC) referral pathway. We aimed to investigate the effect of antiplatelet and anticoagulant drugs on the accuracy of FIT results.

METHODS

This observational study categorised patients with suspected CRC symptoms, who completed both FIT and colonic investigations, into two groups (control and exposed) based on their use of antiplatelet and anticoagulant drugs. Two-by-two tables and receiver operating characteristic (ROC) curve analysis were used to determine accuracy.

RESULTS

A total of 928 patients were divided into a control (n=683) and an exposed group (n=245). A nonsignificant higher proportion of patients tested positive in the exposed group (24.1% vs 18.4%, p=0.063). For detection of CRC, improved sensitivity of 87% vs 81.2%, specificity of 84.8% vs 79.9% and negative predictive value of 99.2% vs 98.3% was calculated in the control vs exposed groups, respectively. The positive predictive value was comparable between the two groups (21.4% vs 22% in the control and exposed groups, respectively). In ROC analysis, there was no difference between the groups (AUC 90% vs 87%, p=0.56). The use of antiplatelet and anticoagulant drugs did not increase the risk of positive FIT results on multivariate logistic regression analysis.

CONCLUSIONS

FIT accuracy for CRC detection remained unaffected despite more patients testing positive in the exposed group. FIT should be considered a supplementary tool for triage. Antiplatelet and anticoagulant drugs do not need to be discontinued before collection of FIT.

Diagnosis and Therapy of Visceral Vein Thrombosis: An Update Based on the Revised AWMF S2k Guideline

Splanchnic or visceral vein thromboses (VVTs) are atypical thrombotic entities and include thrombosis of the portal vein, hepatic veins (Budd-Chiari syndrome), mesenteric veins, and splenic vein. All VVTs have in common high 30-day mortality up to 20% and it seems to be difficult to diagnose VVT early because of their rarity and their wide spectrum of unspecific symptoms. VVTs are often associated with myeloproliferative neoplasia, thrombophilia, and liver cirrhosis. VVT is primarily diagnosed by sonography and/or computed tomography. In contrast to venous thromboembolism, D-dimer testing is neither established nor helpful. Anticoagulation is the first-line therapy in patients with stable circulation and no evidence of organ complications. Anticoagulation improves significantly recanalization rates and stops the progress of thrombosis. Low-molecular-weight heparin, vitamin K antagonists, as well as direct-acting oral anticoagulants are possible anticoagulants, but it is noteworthy to be aware that all recommendations supporting the off-label use of anticoagulants are based on poor evidence and consist predominantly of case series, observational studies, or studies with small case numbers. When choosing a suitable anticoagulation, the individual risk of bleeding and thrombosis must be weighted very carefully. In cases of bleeding, bowel infarction, or other complications, the optimal therapy should be determined on a case-by-case basis by an experienced multidisciplinary team involving a surgeon. Besides anticoagulation, there are therapeutic options including thrombectomy, balloon angioplasty, stenting, transjugular placement of an intrahepatic portosystemic shunt, liver transplantation, and ischemic bowel resection. This article gives an overview of current diagnostic and therapeutic strategies.

The impact of early gastroscopy examination on cardiovascular event-related indices in elderly patients with acute upper gastrointestinal bleeding

BACKGROUND

To observe the effects of early gastroscopy examination on cardiovascular event-related indicators such as heart rate (HR), blood pressure, and electrocardiogram (ECG) in elderly patients with acute upper gastrointestinal bleeding.

METHODS

Sixty patients with upper gastrointestinal bleeding admitted from July 2022 to December 2022 were selected. Patients with relevant contraindications were excluded. All patients underwent early gastroscopy examination. Among them, 30 patients were aged 60 or above (elderly group) and 30 patients were aged below 60 (non-elderly group). Dynamic blood pressure and ECG recordings were obtained before, during, and after gastroscopy examination to assess changes in HR, blood pressure, and ECG.

RESULTS

The HR and blood pressure levels of the elderly group were significantly lower than those of the non-elderly group before, during, and after gastroscopy examination (P < .05). In the elderly group, blood pressure and HR were higher during gastroscopy examination compared to before, but lower than during the examination afterward, with statistically significant differences (P < .05). The diastolic blood pressure was lower after the examination compared to before, with statistical significance, while the systolic blood pressure was lower, and the HR was higher after the examination, but without statistical significance (P > .05). In the non-elderly group, systolic blood pressure and HR were higher during gastroscopy examination compared to before, with statistically significant differences (P < .05), while diastolic blood pressure was higher but without statistical significance (P > .05). Blood pressure and HR were lower after the examination compared to during, with statistically significant differences (P < .05). The occurrence rates of ECG changes were 70% in the elderly group and 30% in the non-elderly group, with a statistically significant difference (χ2 = 5.45, P = .02 < .05).

CONCLUSION

Early gastroscopy examination in elderly patients with gastrointestinal bleeding did not result in severe cardiovascular adverse events and was relatively safe. However, special attention should be given to the occurrence of cardiac arrhythmias.

Risk factors for anticoagulant-associated gastrointestinal hemorrhage: a systematic review and meta-analysis

BACKGROUND/AIMS

There may be many predictors of anticoagulation-related gastrointestinal bleeding (GIB), but until now, systematic reviews and assessments of the certainty of the evidence have not been published. We conducted a systematic review to identify all risk factors for anticoagulant-associated GIB to inform risk prediction in the management of anticoagulation- related GIB.

METHODS

A systematic review and meta-analysis were conducted to search PubMed, EMBASE, Web of Science, and Cochrane Library databases (from inception through January 21, 2022) using the following search terms: anticoagulants, heparin, warfarin, dabigatran, rivaroxaban, apixaban, DOACs, gastrointestinal hemorrhage, risk factors. According to inclusion and exclusion criteria, studies of risk factors for anticoagulation-related GIB were identified. Risk factors for anticoagulant-associated GIB were used as the outcome index of this review.

RESULTS

We included 34 studies in our analysis. For anticoagulant-associated GIB, moderate-certainty evidence showed a probable association with older age, kidney disease, concomitant use of aspirin, concomitant use of the antiplatelet agent, heart failure, myocardial infarction, hematochezia, renal failure, coronary artery disease, helicobacter pylori infection, social risk factors, alcohol use, smoking, anemia, history of sleep apnea, chronic obstructive pulmonary disease, international normalized ratio (INR), obesity et al. Some of these factors are not included in current GIB risk prediction models. such as anemia, co-administration of gemfibrozil, co-administration of verapamil or diltiazem, INR, heart failure, myocardial infarction, etc.

CONCLUSION

The study found that anemia, co-administration of gemfibrozil, co-administration of verapamil or diltiazem, INR, heart failure, myocardial infarction et al. were associated with anticoagulation-related GIB, and these factors were not in the existing prediction models. This study informs risk prediction for anticoagulant-associated GIB, it also informs guidelines for GIB prevention and future research.

A new model (Alfalfa-Warfarin-GIB) for predicting the risk of major gastrointestinal bleeding in warfarin patients

BACKGROUND

This study aimed to analyze the factors influencing warfarin-related major gastrointestinal bleeding (GIB) and to develop a score that would provide a reference for assessing the risk of major GIB associated with warfarin treatment.

METHODS

This was a retrospective analysis of clinical and follow-up data from warfarin-treated patients. Scores were analyzed using logistic regression. The area under the subject working characteristic curve (AUC), sensitivity, specificity, and Hosmer-Lemeshow test were used to evaluate the scoring performance.

RESULTS

A total of 1591 patients who met the requirements for warfarin use were included in this study, and 46 developed major GIB. After univariate analysis as well as multivariate logistic regression analysis, nine factors were found to be associated with increased risk of major GIB, namely age ≥ 65 years, history of peptic ulcer, history of major bleeding, abnormal liver function, abnormal renal function, cancer, anemia, labile international normalized ratio, and combination of antiplatelet agents/non-steroidal anti-inflammatory drugs. The Alfalfa-Warfarin-GIB score was constructed using these nine factors. The AUC and Bootstrap method-corrected AUC of the Alfalfa-Warfarin-GIB score were 0.916 (95% CI: 0.862-0.970, P < 0.001) and 0.919 (95% CI: 0.860-0.967, P < 0.001), respectively, which were higher than those of the HAS-BLED score (AUC = 0.868, 95% CI: 0.812-0.924, P < 0.001).

CONCLUSION

Based on nine risk factors, the Alfalfa-Warfarin-GIB score was constructed to predict the risk of warfarin-related major GIB. The newly developed Alfalfa-Warfarin-GIB score has a better predictive value than the HAS-BLED score and may be an effective tool to help reduce the occurrence of major GIB in patients on warfarin.

A nomogram for predicting major gastrointestinal bleeding in patients treated with rivaroxaban

BACKGROUND

Rivaroxaban is a direct oral anticoagulant with the highest risk of anticoagulant-induced major gastrointestinal bleeding (MGIB). Currently, there is a lack of tools to identify patients at high risk of rivaroxaban-induced MGIB.

OBJECTIVE

To establish a nomogram model to predict the risk of MGIB in patients receiving rivaroxaban.

METHODS

Demographic information, comorbidities, concomitant medications, and laboratory test results were collected from 356 patients (178 diagnosed with MGIB) who were taking rivaroxaban between January 2013 and June 2021. Univariate and multivariate logistic regression analyses were used to identify the independent predictors of MGIB, and a nomogram was constructed based on these predictors. A receiver operating characteristic curve, Brier score, calibration plot, decision curve, and internal validation was used to evaluate the calibration, discrimination, and clinical usefulness of the nomogram.

RESULTS

Age, haemoglobin level, platelet count, creatinine level, prior peptic ulcer disease, prior bleeding, prior stroke, proton pump inhibitor use, and antiplatelet agent use were independent predictors of rivaroxaban-induced MGIB. These risk factors were used to establish the nomogram. The area under the curve of the nomogram was 0.833 (95%CI, 0.782-0.866), the Brier score was 0.171, the internal validation accuracy was 0.73, and the kappa value was 0.46.

CONCLUSION

The nomogram demonstrated good discrimination, calibration, and clinical applicability. Therefore, it could accurately predict the risk of MGIB in patients treated with rivaroxaban.

A new model to predict the risk of major gastrointestinal bleeding in patients on direct oral anticoagulants (dabigatran and rivaroxaban)

AIMS

The aim of this study was to identify factors associated with gastrointestinal bleeding (GIB) in patients on direct oral anticoagulants (DOACs) and develop a risk score that would provide an effective tool for the clinical assessment of GIB.

METHODS

This was a multicentre retrospective analysis of clinical and follow-up data of patients treated with DOACs. The score was developed through logistic regression. The performance of score was evaluated using the area under the receiver operating characteristic curve (AUC), sensitivity, specificity and Hosmer-Lemeshow test.

RESULTS

The 11 903 patients had a mean age of 65.1 years. In multivariate analysis, age ≥65 years, alcohol use, history of peptic ulcer, history of major bleeding, abnormal liver function or renal function, cancer, platelet count <100 × 10⁹ /L, anaemia, and concurrent antiplatelet agent or non-steroidal anti-inflammatory drug treatment were independent risk factors for GIB, and concurrent treatment with gastrointestinal protective agents were a protective factor. The Alfalfa-DOAC-GIB score was constructed using these 12 factors. The AUC of the Alfalfa-DOAC-GIB score was 0.77 (95% CI 0.74-0.81), which was higher than that of the HAS-BLED score (0.69; 95% CI 0.65-0.72) and the New score (0.65; 95% CI 0.61-0.68).

CONCLUSIONS

Based on 12 factors, we developed a gastrointestinal bleeding risk score. The newly developed Alfalfa-DOAC-GIB score has better predictive value than the HAS-BLED score and the New score, and might be an effective tool to help reduce the occurrence of GIB in patients using DOACs.

Modified N score is helpful for identifying patients who need endoscopic intervention among those with black stools without hematemesis

OBJECTIVES

Although black stools are one of the signs of upper gastrointestinal bleeding, not all patients without hematemesis need endoscopic intervention. There is no apparent indicator to select who needs treatment thus far. The aim of this study was to establish a novel score that predicts the need for endoscopic intervention in patients with black stools without hematemesis.

METHODS

We retrospectively enrolled 721 consecutive patients with black stools without hematemesis who underwent emergency endoscopy from two facilities. In the development stage (from January 2016 to December 2018), risk factors that predict the need for endoscopic intervention were determined from the data of 422 patients by multivariate logistic regression analysis, and a novel scoring system, named the modified Nagoya University score (modified N score), was developed. In the validation stage (from January 2019 to September 2020), we evaluated the diagnostic value of the modified N score for 299 patients.

RESULTS

Multivariate logistic regression analysis revealed four predictive factors for endoscopic intervention: syncope, the blood urea nitrogen (BUN) level, and the BUN/creatinine ratio as positive indicators and anticoagulant drug use as a negative indicator. In the validation stage, the area under the curve of the modified N score was 0.731, and the modified N score showed a sensitivity of 82.0% and a specificity of 58.8%.

CONCLUSIONS

Our modified N score, which consists of only four factors, can identify patients who need endoscopic intervention among those with black stools without hematemesis.

Nursing Value Analysis and Risk Assessment of Acute Gastrointestinal Bleeding Using Multiagent Reinforcement Learning Algorithm

Gastrointestinal bleeding (GIB) indicates an issue in the digestive system. Blood can be found in feces or vomiting; however, it is not always visible, even if it makes the stool appear darkish or muddy. The bleeding can range in harshness from light to severe and can be dangerous. It is advised that nursing value analysis and risk assessment of patients with GIB is essential, but existing risk assessment techniques function inconsistently. Machine learning (ML) has the potential to increase risk evaluation. For evaluating risk in patients with GIB, scoring techniques are ineffective; a machine learning method would help. As a result, we present а unique machine learning-based nursing value analysis and risk assessment framework in this research to construct a model to evaluate the risk of hospital-based interventions or mortality in individuals with GIB and make a comparison to that of other rating systems. Initially, the dataset is collected, and preprocessing is done. Feature extraction is done using local binary patterns (LBP). Classification is performed using a fuzzy support vector machine (FSVM) classifier. For risk assessment and nursing value analysis, machine learning-based prediction using a multiagent reinforcement algorithm is employed. For improving the performance of the proposed system, we use spider monkey optimization (SMO) algorithm. The performance metrics like classification accuracy, area under the receiver-operating characteristic curve (AUROC), area under the curve (AUC), sensitivity, specificity, and precision are analyzed and compared with the traditional approaches. In individuals with GIB, the suggested technique had a good-excellent prognostic efficacy, and it outperformed other traditional models.

Risk factors and one-year mortality in patients with direct oral anticoagulant-associated gastrointestinal bleeding

BACKGROUND AND AIM

Risk factors and mortality in patients with DOACs-associated gastrointestinal bleeding (GIB) are not completely defined. Aims of this study were to identify risk factors for bleeding and evaluate one-year mortality in patients with DOACs-associated GIB.

METHODS

We conducted a case-control study. Cases were patients with DOACs-associated GIB admitted to the Perugia Hospital, Italy between 2013 and 2019. Controls were derived from the prospective database of patients with DOACs referred to the ambulatory service. Cases and controls were matched by a 1:2 ratio for type and dose of DOAC, indication for anticoagulation and gender. Univariate and multivariable analyses were performed to identify risk factors. Hazard Ratio with 95% confidence interval was used to calculate mortality.

RESULTS

We included 324 patients, of which 108 with DOACs-associated GIB. Mean age was 81.9 ± 7.2 years and 78.9 ± 8.7 years, respectively. The most frequent indication for anticoagulation was atrial fibrillation. Reduced doses of DOACs were prescribed in 186 patients (56.4%). At multivariable analysis, active cancer (OR:7.26; 95%CI 3.10-16.96), renal impairment (OR:4.26; 95%CI 1.98-9.17), bleeding predisposition (OR:3.66; 95%CI 2.00-6.68), COPD (OR:2.12; 95%CI 1.08-4.16) and uncontrolled hypertension (OR:1.86; 95%CI 1.07-3.23) were found to be predictors for DOACs-associated GIB. Adjusted one-year mortality was significantly higher in patients who experienced GIB compared with those who did not experience GIB (OR: 7.04; 95%CI 3.82-14.31).

CONCLUSIONS

Predictors of DOACs-associated GIB included active cancer, renal impairment, bleeding predisposition, COPD and uncontrolled hypertension. The adjusted one-year-mortality was significantly increased in patients with DOACs-associated GIB in comparison to DOACs patients without GIB.

Comparison of predictive value of risk scores for gastrointestinal bleeding in antiplatelet therapy

Gastrointestinal bleeding (GIB) is the most common serious bleeding complication of antiplatelet therapy. The bleeding risk score (BRS) of GIB may help to determine the risk of bleeding, and provides a reference for the formulation of antiplatelet therapy regimen in clinical practice, but we found that no specific risk scores are available in East Asian patients. This study analyzed patients who were administered antiplatelet therapy from May 2015 to December 2018 in two medical centers. Patient's baseline data were obtained. We assessed four BRSs (New Score, RIETE Score, Cuschieri Score, de Groot Score) and compared them using the area under the receiver operating characteristic curve (AUC). The 4,052 patients enrolled in this study had an average age of 69.6 ± 10.8 years, and 65.9% of them were male. Among the 4,052 patients included, 171 patients experienced GIB within 6 months of follow-up. In the study population, the AUCs for the New, RIETE, Cuschieri, and de Groot scores were 0.673 (95% confidence interval (CI) 0.616-0.729, P < .001), 0.742 (95% CI 0.690-0.794, P < .001), 0.598 (95% CI 0.537-0.659, P = .002), and 0.875 (95% CI 0.839-0.912, P < .001), respectively. After validation, the de Groot Score has better performance. Among the four scores, the de Groot Score might be more suitable for helping Chinese clinicians to predict the risk of GIB in patients taking antiplatelet drugs, and reduce GIB events.

Gastrointestinal Bleeding and Direct Oral Anticoagulants among Patients with Atrial Fibrillation: Risk, Prevention, Management, and Quality of Life

A significant problem for patients undergoing oral anticoagulation therapy is gastrointestinal bleeding (GIB), a problem that has become increasingly urgent following the introduction of direct oral anticoagulants (DOACs). Furthermore, in recent years a greater focus has been placed on the quality of life (QOL) of patients on long-term oral anticoagulant therapy, which necessitates changes in lifestyle, as well as posing an increased risk of bleeding without producing objective symptomatic relief. Here, we examine current evidence linked to GIB associated with oral anticoagulants, with a focus on randomized control trials, meta-analyses, and postmarketing observational studies. Rivaroxaban and dabigatran (especially the 150-mg bis-in-die dose) appeared to be linked to an increased risk of GIB. The risk of GIB was also greater when edoxaban was used, although this was dependent on the dose. Apixaban did not pose a higher risk of GIB in comparison with warfarin. We provided a summary of current knowledge regarding GIB risk factors for individual anticoagulants, prevention strategies that lower the risk of GIB and management of DOAC therapy after a GIB episode.

Proton Pump Inhibitor Utilization in Veteran Patients on Combined Antithrombotic Therapy and Validation of Simplified Bleeding Risk Score

BACKGROUND

Concomitant use of anticoagulant and antiplatelet agents can increase the risk of gastrointestinal bleed (GIB). Use of proton pump inhibitors (PPIs) has been proposed to decrease the risk of GIB in patients on combined antithrombotic therapy (CAT).

OBJECTIVE

To describe the current utilization of PPIs in veteran patients on CAT and associated clinical predictors of GIB.

METHODS

This retrospective study included patients on CAT receiving PPIs, with at least one of the CAT agents initiated between January 1, 2018 and October 30, 2018. Data were extracted from the computerized patient record system. Primary end point included estimating proportion of patients on CAT receiving PPI co-therapy, describing patient characteristics, and identifying clinical predictors of GIB. Secondary outcomes included reporting GIB events and all-cause mortality. Additional outcome was to validate the five-factor risk score (FFRS) for GIB in patients on CAT and compare its overall predictive performance to HAS-BLED score.

RESULTS

This study reports an overall rate of PPI co-therapy in patients on CAT of 40.9% (484/1181), with only 22.3% of patients on CAT receiving PPI for GIB prophylaxis. There was no difference in the mean follow up duration of PPI users and PPI co-therapy (264.01 vs 271.92 days; p=0.3761). Current alcohol use (p=0.005), current smokers (p=0.022), chronic kidney disease (p=0.004), peptic ulcer disease (p<0.001), and non-steroidal anti-inflammatory drug use (p=0.048) were significant predictors of GIB in multivariate analyses of our study cohort. We further provide exploratory validation that use of a simplified FFRS to predict GIB showed a trend towards better overall predictive performance as compared to HAS-BLED score (C-statistic: 0.738; 95% CI 0.684-0.787 for FFRS vs C-statistic: 0.596; 95% CI 0.538-0.653 for HAS-BLED; p=0.0094).

CONCLUSION

This study reports lower rate of PPI co-therapy in veteran patients on CAT per currently available guidance. Further we explore utilization of simplified FFRS model to predict GIB in patients on CAT with long-term PPI co-therapy.

Comparison of clinical performance of four gastrointestinal bleeding risk scores in Chinese patients with atrial fibrillation receiving oral anticoagulants

Gastrointestinal bleeding is the most common bleeding complication during anticoagulant therapy. A reliable bleeding risk score can help the clinician assess risk of bleeding in individual patients and select the anticoagulant regimen. This study retrospectively analyzed the data of patients with atrial fibrillation who received anticoagulant therapy from July 2015 to December 2018 at two centers-the Fujian Medical University Union Hospital and Fuzhou Second Hospital Affiliated to Xiamen University. Demographic data, clinical findings, and laboratory results were collected from the hospital records. Patients were followed up for 6 months. The performance of four bleeding risk scores (New Score, RIETE Score, Cuschieri et al. Score, de Groot et al. Score) for prediction of gastrointestinal bleeding was assessed using the area under the curve. A total of 3462 patients (mean age, 66.3 ± 11.5 years; 59.6% males; 1055 direct oral anticoagulants users and 2407 warfarin users) were followed up for 6 months. While 99/3462 (2.9%) patients had gastrointestinal bleeding. The area under the curves for the New, RIETE, Cuschieri et al., de Groot et al. scores were 0.652 (95% CI 0.576-0.728), 0.862 (95% CI 0.809-0.914), 0.606 (95% CI 0.527-0.685), and 0.873 (95% CI 0.816-0.929), respectively. Among the four BRSs evaluated, the RIETE score and the de Groot et al. score appear to have the good predictive value, while the NEW score and the Cuschieri et al. score did not sufficiently predict gastrointestinal bleeding risk within the study Chinese population.

Predicting Gastrointestinal Bleeding Events from Multimodal In-Hospital Electronic Health Records Using Deep Fusion Networks

Applying machine learning (ML) methods on electronic health records (EHRs) that accurately predict the occurrence of a variety of diseases or complications related to medications can contribute to improve healthcare quality. EHRs by nature contain multiple modalities of clinical data from heterogeneous sources that require proper fusion strategy. The deep neural network (DNN) approach, which possesses the ability to learn classification and feature representation, is well-suited to be employed in this context. In this study, we collect a large in-hospital EHR database to develop analytics in predicting 1-year gastrointestinal (GI) bleeding hospitalizations for patients taking anticoagulants or antiplatelet drugs. A total of 815,499 records (16,757 unique patients) are used in this study with three different available EHR modalities (disease diagnoses, medications usage, and laboratory testing measurements). We compare the performances of 4 deep multimodal fusion models and other ML approaches. NNs result in higher prediction performances compare to random forest (RF), gradient boosting decision tree (GBDT), and logistic regression (LR) approaches. We further demonstrate that deep multimodal NNs with early fusion can obtain the best GI bleeding predictive power (area under the receiver operator curve [AUROC] 0.876), which is significantly better than the HAS-BLED score (AUROC 0.668).

Improved Benefit Risk Profile of Rivaroxaban in a Subpopulation of the MAGELLAN Study

Acutely ill medical patients are at risk of venous thromboembolism (VTE) and VTE-related mortality during hospitalization and posthospital discharge, but widespread adoption of extended thromboprophylaxis has not occurred. We analyzed a subpopulation within the MAGELLAN study of extended thromboprophylaxis with rivaroxaban to reevaluate the benefit risk profile. We identified 5 risk factors for major and fatal bleeding after a clinical analysis of the MAGELLAN study and analyzed efficacy and safety with these patients excluded (n = 1551). Risk factors included: active cancer, dual antiplatelet therapy at baseline, bronchiectasis/pulmonary cavitation, gastroduodenal ulcer, or bleeding within 3 months before randomization. We evaluated efficacy, safety, and benefit risk using clinically comparable endpoints in the subpopulation. At day 10, rivaroxaban was noninferior to enoxaparin (relative risk [RR] = 0.82, 95% confidence interval [CI] = 0.58-1.15) and at day 35 rivaroxaban was significantly better than enoxaparin/placebo (RR = 0.68, 95% CI = 0.53-0.88) in reducing VTE and VTE-related death. Major bleeding was reduced at day 10 (RR = 2.18, 95% CI = 1.07-4.44 vs 1.19, 95% CI = 0.54-2.65) and at day 35 (2.87, 95% CI = 1.60-5.15 vs 1.48, 95% CI = 0.77-2.84) for MAGELLAN versus this subpopulation, respectively. The benefit risk profile was favorable in this subpopulation treated for 35 days, with the number needed to treat ranging from 55 to 481 and number needed to harm from 455 to 1067 for all pairwise evaluations. Five exclusionary criteria defined a subpopulation of acutely ill medical patients with a positive benefit risk profile for in-hospital and extended thromboprophylaxis with rivaroxaban.

Risk factors for severe bleeding events during warfarin treatment: the influence of sex, age, comorbidity and co-medication

PURPOSE

To investigate risk factors for severe bleeding during warfarin treatment, including the influence of sex, age, comorbidity and co-medication on bleeding risk.

METHODS

Patients initiating warfarin treatment between 2007 and 2011 were identified in the nationwide Swedish Prescribed Drug Register, and diagnoses of severe bleeding were retrieved from the National Patient Register. Hazard ratios (HR) with 95% confidence intervals (CI) for severe bleeding were estimated using multiple Cox regression adjusting for indications and including covariates age, sex, comorbidities and co-medications. Interactions between sex and other covariates were investigated.

RESULTS

The study cohort included 232,624 patients ≥ 18 years (101,011 women and 131,613 men). The incidence rate of severe bleeding was 37 per 1000 person-years, lower among women than men with an adjusted HR (95% CI) of 0.84 (0.80-0.88). Incidence of bleeding increased with age, HR 2.88 (2.37-3.50) comparing age ≥ 80 to < 40 years, and comorbidities associated with the highest risk of severe bleeding were prior bleeding, HR 1.85 (1.74-1.97); renal failure, HR 1.82 (1.66-2.00); and alcohol dependency diagnosis, HR 1.79 (1.57-2.05). Other comorbidities significantly associated with bleeding events were hypertension, diabetes, peripheral vascular disease, congestive heart failure, liver failure, stroke/TIA, COPD and cancer.

CONCLUSION

Most of the well-established risk factors were found to be significantly associated with bleeding events in our study. We additionally found that women had a lower incidence of bleeding. Potential biases are selection effects, residual confounding and unmeasured frailty.

Security profile of direct anticoagulants. Preferred use in atrial fibrillation

A multidisciplinary panel of cardiologists, neurologists, internal medicine and specialists in hemostasis and thrombosis has elaborated this document showing recent scientific evidences supporting a better profile of direct oral anticoagulants (DOACs) versus vitaminK antagonists (VKA), as well as the indications of specific antidotes and hemostatic agents to reverse the anticoagulant effects of DOACs. The analysis reinforces the best profile of DOACs and its special benefit in patients with basal high hemorrhagic risk.

Predictors of gastrointestinal bleeding in older persons taking nonsteroidal anti-inflammatory drugs: Results from the FDA adverse events reporting system

BACKGROUND AND PURPOSE

Older adults continue to take nonsteroidal anti-inflammatory drugs (NSAIDs) to manage chronic pain. The study's purpose was to identify predictors of gastrointestinal (GI) bleeding in older adults taking NSAIDs.

METHODS

A secondary analysis of the 2016 Food and Drug Administration's Adverse Events Reporting System data was conducted with 1,347 cases aged 65 years and older with an NSAID as the primary suspect for an adverse drug event (ADE). Data included age, sex, NSAID, multiple NSAID use, rivaroxaban, warfarin, clopidogrel, cardiovascular drug (proxy for cardiovascular disease), diabetes drug (proxy for diabetes mellitus), and primary adverse drug response.

CONCLUSIONS

Aspirin was the primary suspect NSAID in 72.5% of cases. Rivaroxaban was taken in 67.9% of cases. Logistic regression was conducted to predict GI bleed versus other NSAID-related ADEs with age, sex, cardiovascular medication, diabetes medication, warfarin, clopidogrel, concurrent NSAID use, aspirin, and rivaroxaban as predictors. Aspirin, rivaroxaban, and concurrent NSAID were significant predictors of GI bleed. Gastrointestinal bleed risk versus other ADE risk increased by 39.77 times when taking aspirin, rivaroxaban, and another NSAIDs concurrently.

IMPLICATIONS FOR PRACTICE

Results support reduced NSAID use by older adults, especially aspirin, and avoidance of rivaroxaban in older persons taking NSAIDs.

Initial management for acute lower gastrointestinal bleeding

Acute lower gastrointestinal bleeding (LGIB) is a common indication for hospital admission. Patients with LGIB often experience persistent or recurrent bleeding and require blood transfusions and interventions, such as colonoscopic, radiological, and surgical treatments. Appropriate decision-making is needed to initially manage acute LGIB, including emergency hospitalization, timing of colonoscopy, and medication use. In this literature review, we summarize the evidence for initial management of acute LGIB. Assessing various clinical factors, including comorbidities, medication use, presenting symptoms, vital signs, and laboratory data is useful for risk stratification of severe LGIB, and for discriminating upper gastrointestinal bleeding. Early timing of colonoscopy had the possibility of improving identification of the bleeding source, and the rate of endoscopic intervention, compared with elective colonoscopy. Contrast-enhanced computed tomography before colonoscopy may help identify stigmata of recent hemorrhage on colonoscopy, particularly in patients who can be examined immediately after the last hematochezia. How to deal with nonsteroidal anti-inflammatory drugs (NSAIDs) and antithrombotic agents after hemostasis should be carefully considered because of the risk of rebleeding and thromboembolic events. In general, aspirin as primary prophylaxis for cardiovascular events and NSAIDs were suggested to be discontinued after LGIB. Managing acute LGIB based on this information would improve clinical outcomes. Further investigations are needed to distinguish patients with LGIB who require early colonoscopy and hemostatic intervention.

Gastroduodenal ulcer bleeding in elderly patients on low dose aspirin therapy

AIM

To determine the clinical characteristics of elderly patients of hemorrhagic gastroduodenal ulcer on low-dose aspirin (LDA) therapy.

METHODS

A total of 1105 patients with hemorrhagic gastroduodenal ulcer treated in our hospital between January 2000 and March 2016 were grouped by age and drugs used, and these groups were compared in several factors. These groups were compared in terms of length of hospital stay, presence/absence of hemoglobin (Hb) decrease, presence/absence of blood transfusion, Forrest I, percentage of Helicobacter pylori infection, presence/absence of underlying disease, and percentage of severe cases.

RESULTS

The percentage of blood transfusion (62.6% vs 47.7 %, P < 0.001), Hb decrease (53.8% vs 40.8%, P < 0.001), and the length of hospital stay (23.5 d vs 16.7 d, P < 0.001) were significantly greater in those on drug therapy. The percentage of blood transfusion (65.3% vs 47.8%, P < 0.001), Hb decrease (54.2% vs 42.1%, P < 0.001), and length of hospital stay (23.3 d vs 17.5 d, P < 0.001) were significantly greater in the elderly. In comparison with the LDA monotherapy group, the percentage of severe cases was significantly higher in the LDA combination therapy group when elderly patients were concerned (16.1% vs 34.0%, P = 0.030). Meanwhile, among those on LDA monotherapy, there was no significant difference between elderly and non-elderly (16.1% vs 16.0%, P = 0.985).

CONCLUSION

A combination of LDA with antithrombotic drugs or non-steroidal anti-inflammatory drugs (NSAIDs) contributes to aggravation. And advanced age is not an aggravating factor when LDA monotherapy is used.

Prospective analysis of bleeding events in left ventricular assist device patients

Background:

Bleeding is a major cause of morbidity in patients with continuous flow left ventricular assist devices (LVADs). We sought to identify clinical predictors of bleeding within the first year of LVAD implantation.

Methods:

A prospective study was performed on 30 patients with HeartMate II implantation at the University of Rochester Medical Center, Rochester, New York, United States. Blood was collected within 1 week before implantation, and at 1, 3, and 30 ± 10 days after implantation. Blood samples were analyzed for prothrombin time (PT), international normalized ratio (INR), von Willebrand factor (vWF) activity, vWF antigen, vWF multimers, collagen binding assay, factor VIII, and epinephrine closure time. The first bleeding event within 1 year of implantation was recorded.

Results:

There were 17 (57%) patients with a bleeding event. The cumulative incidence of bleeding was 50% at 304 days. Age at the time of LVAD implantation was associated with higher risk of bleeding (hazard ratio (HR) = 1.05, 95% confidence interval (CI) = 1.01–1.10, p = 0.013). Higher baseline INR was also associated with increased risk of bleeding after adjusting for age at the time of implant (HR = 6.58, 95% CI = 1.21–35.70, p = 0.028). The bleeders and non-bleeders had similar hemostatic markers at all four time points. Prior to LVAD, mean epinephrine closure time was similar between bleeders and non-bleeders. However, post LVAD measurement of epinephrine, closure time was frequently limited by platelet clumping.

Conclusion:

Older age and baseline INR are associated with higher risk of bleeding in LVAD patients. Platelet clumping may suggest underlying platelet dysfunction and associated high risk of bleeding