Transarterial embolization of acute iatrogenic hemorrhages: predictive factors for mortality and outcome

Emergent vessel embolization for major traumatic and non-traumatic hemorrhage: Indications, tools and outcomes

Endovascular embolization of bleeding vessels in trauma and non-trauma patients is frequently used and is an important tool for bleeding control. It is included in the EVTM (endovascular resuscitation and trauma management) concept and its use in patients with hemodynamic instability is increasing. When the correct embolization tool is chosen, a dedicated multidisciplinary team can rapidly and effectively achieve bleeding control. In this article, we will describe the current use and possibilities for embolization of major hemorrhage (traumatic and non-traumatic) and the published data supporting these techniques as part of the EVTM concept.

Haematological risk factors predicting clinical success in transarterial embolisation for acute gastrointestinal bleeding

OBJECTIVES

Evaluate clinical outcomes in transarterial embolisation (TAE) for acute gastrointestinal bleeding (GIB) and determine risk factors for 30-day reintervention for rebleeding and mortality.

METHODS

TAE cases were retrospectively reviewed between March 2010 and September 2020 at our tertiary centre. Technical success (angiographic haemostasis following embolisation) was measured. Uni- and multivariate logistic regression analysis were performed to identify risk factors for clinical success (absence of 30-day reintervention or mortality) following embolisation for active GIB or empirical embolisation for suspected bleeding.

RESULTS

TAE was conducted in 139 patients (92 (66.2%) male; median age:73, range: 20-95 years) for acute upper GIB (n = 88) and lower GIB (n = 51). TAE was technically successful in 85/90 (94.4%) and clinically successful in 99/139 (71.2%); with 12 (8.6%) reintervention cases for rebleeding (median interval 2 days) and 31 (22.3%) cases of mortality (median interval 6 days). Reintervention for rebleeding was associated with haemoglobin drop > 40 g l^-1 from baseline based on univariate analysis (p = 0.047). 30-day mortality was associated with pre-intervention platelet count < 150×10⁹ l^-1 (p < 0.001, OR 7.35, 95% CI 3.05-17.71) and INR > 1.4 (p < 0.001, OR 4.75, 95% CI 2.03-11.09) on multivariate logistic regression analysis. No associations were found for patient age, gender, antiplatelet/anticoagulation prior to TAE, or when comparing upper and lower GIB with 30-day mortality.

CONCLUSION

TAE had excellent technical success for GIB with relatively high (1-in-5) 30-day mortality. INR > 1.4 and platelet count < 150×10⁹ l^-1 were individually associated with TAE 30-day mortality, and pre-TAE > 40 g l^-1 haemoglobin decline with rebleeding requiring reintervention.

ADVANCES IN KNOWLEDGE

Recognition and timely reversal of haematological risk factors may improve TAE periprocedural clinical outcomes.

InterNet: Detection of Active Abdominal Arterial Bleeding Using Emergency Digital Subtraction Angiography Imaging With Two-Stage Deep Learning

Objective

Active abdominal arterial bleeding is an emergency medical condition. Herein, we present our use of this two-stage InterNet model for detection of active abdominal arterial bleeding using emergency DSA imaging.

Methods

Firstly, 450 patients who underwent abdominal DSA procedures were randomly selected for development of the region localization stage (RLS). Secondly, 160 consecutive patients with active abdominal arterial bleeding were included for development of the bleeding site detection stage (BSDS) and InterNet (cascade network of RLS and BSDS). Another 50 patients that ruled out active abdominal arterial bleeding were used as negative samples to evaluate InterNet performance. We evaluated the mode's efficacy using the precision-recall (PR) curve. The classification performance of a doctor with and without InterNet was evaluated using a receiver operating characteristic (ROC) curve analysis.

Results

The AP, precision, and recall of the RLS were 0.99, 0.95, and 0.99 in the validation dataset, respectively. Our InterNet reached a recall of 0.7, the precision for detection of bleeding sites was 53% in the evaluation set. The AUCs of doctors with and without InterNet were 0.803 and 0.759, respectively. In addition, the doctor with InterNet assistant could significantly reduce the elapsed time for the interpretation of each DSA sequence from 84.88 to 43.78 s.

Conclusion

Our InterNet system could assist interventional radiologists in identifying bleeding foci quickly and may improve the workflow of the DSA operation to a more real-time procedure.

Prediction of Factors Associated with Abnormal Uterine Bleeding by Transvaginal Ultrasound Combined with Bleeding Pattern

In order to explore the ability of vaginal ultrasound combined with bleeding pattern to predict factors related to abnormal uterine bleeding (AUB), a total of 205 patients with abnormal uterine bleeding were selected as experimental subjects. According to the corresponding diagnostic criteria, patients were divided into the endometrial polyp group (56 cases), endometrial hyperplasia and canceration group (84 cases), and normal cycle endometrial group (65 cases). The efficiency of the method was determined by comparing the prediction efficiency of the single/joint model. The results showed that there were statistically significant differences in the body mass index, dysmenorrhea, endometrial thickness, diabetes, hypertension, and polycystic ovary syndrome among the three groups, P < 0.05. The sensitivity, specificity, positive predictive value, negative predictive value, and Youden index of endometrial polyp diagnosis were 86.89%, 88.12%, 83.54%, 90.11%, and 0.74, respectively. The sensitivity, specificity, positive predictive value, negative predictive value, and JordAn index in diagnosing endometrial hyperplasia and canceration were 96.71%, 98.40%, 96.54%, 98.24%, and 0.96, respectively. In summary, the body mass index, dysmenorrhea, endometrial thickness, diabetes, hypertension, and polycystic ovary syndrome were related factors, and the combination of vaginal ultrasound and bleeding pattern had a stronger predictive power for abnormal uterine bleeding.