Intracranial haemorrhage detected by cerebral computed tomography after falls in hospital acute medical wards

Frequency and clinical features of radiographic head injury caused by inpatient falls: a single-centre retrospective cohort study

OBJECTIVES

The lack of clear criteria makes it difficult for clinicians to determine which patients should be imaged after an inpatient fall. This study identified the clinical characteristics of patients who required a head CT scan following an inpatient fall.

DESIGN

This was a retrospective cohort study conducted from January 2016 to December 2018. We obtained the data from our safety surveillance database, which record all cases of inpatient falls in our hospital.

SETTING

Single-centre, tertiary, secondary care hospital.

PARTICIPANTS

We included all consecutive patients who claimed to have fallen and bruised their heads as well as patients who were confirmed to have a bruise on the head but were unavailable to be interviewed about the fall.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome was radiographic head injury revealed on head CT after a fall.

RESULTS

Overall, 834 adult patients (662 confirmed and 172 suspected cases) were included. The median age was 76 years, and 62% were men. Patients with radiographic head injury were more likely to have a lower platelet count, consciousness disturbance and new vomiting episodes compared with those without radiographic head injury (all p<0.05). The use of anticoagulants or antiplatelets was not different between patients with and without radiographic head injury. Among the 15 (1.8%) patients with a radiographic head injury, 13 with intracranial haemorrhage had at least one of the following characteristics: received anticoagulant or antiplatelet agents, platelet count of <2.0×10⁹/L, consciousness disturbance or new vomiting episodes. There were no deaths among patients with radiographic head injuries.

CONCLUSIONS

The incidence of radiographic head injury due to falls in adult inpatients with suspected or confirmed head injuries was 1.8%. Only patients with risk factors had radiographic head injuries, which might help reduce the number of unnecessary CT scans in inpatient falls.

TRIAL REGISTRATION NUMBER

Study protocol (Kurashiki Central Hospital, Medical ethical committee. IRB no. 3750).

A Robust Deep Learning Segmentation Method for Hematoma Volumetric Detection in Intracerebral Hemorrhage

BACKGROUND AND PURPOSE

Hematoma volume (HV) is a significant diagnosis for determining the clinical stage and therapeutic approach for intracerebral hemorrhage (ICH). The aim of this study is to develop a robust deep learning segmentation method for the fast and accurate HV analysis using computed tomography.

METHODS

A novel dimension reduction UNet (DR-UNet) model was developed for computed tomography image segmentation and HV measurement. Two data sets, 512 ICH patients with 12 568 computed tomography slices in the retrospective data set and 50 ICH patients with 1257 slices in the prospective data set, were used for network training, validation, and internal and external testing. Moreover, 13 irregular hematoma cases, 11 subdural and epidural hematoma cases, and 50 different HV cases into 3 groups (<30, 30-60, and >60 mL) were selected to further evaluate the robustness of DR-UNet. The image segmentation performance of DR-UNet was compared with those of UNet, the fuzzy clustering method, and the active contour method. The HV measurement performance was compared using DR-UNet, UNet, and the Coniglobus formula method.

RESULTS

Using DR-UNet, the segmentation model achieved a performance similar to that of expert clinicians in 2 independent test data sets containing internal testing data (Dice of 0.861±0.139) and external testing data (Dice of 0.874±0.130). The HV measurement derived from DR-UNet was strongly correlated with that from manual segmentation (R²=0.9979; P<0.0001). In the irregularly shaped hematoma group and the subdural and epidural hematoma group, DR-UNet was more robust than UNet in both hematoma segmentation and HV measurement. There is no statistical significance in segmentation accuracy among 3 different HV groups.

CONCLUSIONS

DR-UNet can segment hematomas from the computed tomography scans of ICH patients and quantify the HV with better accuracy and greater efficiency than the main existing methods and with similar performance to expert clinicians. Due to robust performance and stable segmentation on different ICHs, DR-UNet could facilitate the development of deep learning systems for a variety of clinical applications.

Impact of Fall Risk and Direct Oral Anticoagulant Treatment on Quality-Adjusted Life-Years in Older Adults with Atrial Fibrillation: A Markov Decision Analysis

BACKGROUND AND OBJECTIVE

The decision to initiate anticoagulation in older adults with atrial fibrillation is complicated by the benefit of ischemic stroke prevention vs the risk of falls resulting in major bleeds. The objective of this study was to assess the impact of different treatments including direct oral anticoagulants on quality-adjusted life-years (QALYs) in patients aged 75 years and older with atrial fibrillation in the context of falls.

METHODS

A Markov decision process was constructed for older patients with atrial fibrillation taking no anti-thrombotic, aspirin, warfarin, rivaroxaban, and apixaban. Input probabilities for clinical events were estimated from the available literature. One-way and two-way sensitivity analyses were performed by measuring the impact of varying input probabilities of clinical events on QALY outcomes.

RESULTS

The base-case scenario estimated that older adults treated with no anti-thrombotic, aspirin, warfarin, rivaroxaban, and apixaban had QALYs of 8.03, 8.69, 10.38, 11.02, and 11.56, respectively. The sensitivity analysis estimated that an older adult would need to fall over 45 (rivaroxaban) and 458 (apixaban) times per year for the QALY of a direct oral anticoagulant to be lower than that of aspirin.

CONCLUSIONS

Older adults with atrial fibrillation benefit from stroke protection of anticoagulants, especially direct oral anticoagulants, even if they are at high risk of falls. Clinicians should not consider fall risk as a deciding factor for withholding anticoagulation in this population of patients.

Anticoagulant Therapy for Frail Patients with Atrial Fibrillation

The prevalence of atrial fibrillation (AF) increases with age, as does the proportion of patients with frailty. AF patients with frailty have a higher risk of stroke than those without frailty, and progressive frailty caused by stroke is also associated with a worse prognosis. Despite this, anticoagulant therapy tends to not be used in frail patients because of the risk of falls and bleeding complications. However, some studies have shown that anticoagulant therapy improves the prognosis in patients with frailty. An accurate assessment of the "net-clinical-benefits" is needed in patients with frailty, with the aim of improving the prognoses of patients with frailty by selecting those who will benefit from anticoagulant therapy and actively reducing the risk of bleeding. A comprehensive intervention that includes a team of doctors and social resources is required. We herein review the effectiveness and bleeding risk associated with anticoagulant therapy in frail patients investigated in clinical studies.