The cost-utility of CT angiography and conventional angiography for people presenting with intracerebral hemorrhage

The role of computed tomography angiogram in intracranial hemorrhage. Do the benefits justify the known risks in everyday practice?

BACKGROUND

Intracranial hemorrhage is a commonly encountered medical problem frequently evaluated by computed tomography angiography (CTA). In CTA, there is radiation exposure and possible adverse effects of intravenous contrast administration. Therefore, the yield of this diagnostic tool needs to be explored in a heterogeneous group of daily encountered patients to provide insight into the risks and benefits of CTA.

OBJECTIVE

To evaluate the role of cerebral CTA in patients with CT-confirmed or clinically suspected intracranial hemorrhage.

METHODS

This retrospective study included all patients who underwent cerebral CTA for evaluation of intracranial hemorrhage that was diagnosed by a plain CT scan or suspected clinically from January 1, 2010, to May 30, 2018. All the scans were evaluated for abnormalities of the cerebral arteries in the CTA.

RESULTS

One hundred twenty patients were included, 74 % were males, and the mean age was 46 years. Approximately 18 % were trauma patients. Overall, CTA was abnormal in 52 % of cases, aneurysms were found in 27 %, and arteriovenous malformation (AVM) in 8 %. Among 82 patients who had a hemorrhage on the plain CT scans, 54 % had normal CTA, 28 % showed aneurysm, and 11 % showed AVM. In trauma patients, the most common CTA finding was normality (48 %), followed by aneurysms (19 %) and dissection (14 %). In non-trauma patients, the most common CTA finding was normality (49 %), followed by aneurysms (28 %) and AVM (10 %).

CONCLUSIONS

CTA is a valuable diagnostic tool for intracranial hemorrhage because it detected abnormalities related to the hemorrhage in 42 % of patients. However, because more than half (58 %) of the patients had normal CTAs or showed CTA findings that were not relevant to the hemorrhage, clinical judgment should be exhausted before exposing them to radiation and intravenous contrast risks.

Poststroke Cognitive Impairment in Model-Based Economic Evaluation: A Systematic Review

INTRODUCTION

Cognitive impairment (CI) is a frequent consequence of stroke and is associated with increased costs and reduced quality of life. However, its inclusion in model-based economic evaluation for stroke is limited.

OBJECTIVE

To identify, review, and critically appraise current models of stroke for use in economic evaluation, and to identify applicability to modeling poststroke CI.

METHODS

PubMed, EMBASE, and the NHS Economic Evaluations Database (NHS EED) were systematically searched for papers published from January 2008 to August 2018. Studies that described the development or design of a model of stroke progression intended for use in economic evaluation were included. Abstracts were screened, followed by full text review of potentially relevant articles. Models that included CI were retained for data extraction, and among the remainder, models that included both stroke recurrence and disability were also retained. Relevance and potential for adaptation for modeling CI were assessed using a standard questionnaire.

RESULTS

Forty modeling studies were identified and categorized into 4 groups: Markov disability/recurrence (k = 29); CI (k = 2); discrete event simulation (k = 4), and other (k = 5). Only 2 modeling studies included CI as an outcome, and both focused on narrow populations at risk of intracranial aneurysm. None of the models allowed for disease progression in the absence of a stroke recurrence. None of the included studies carried out any sensitivity analysis in relation to model design or structure.

CONCLUSIONS

Current stroke models used in economic evaluation are not adequate to model poststroke CI or dementia, and will require adaptation to be used for this purpose.

A New Scoring System for Prediction of Underlying Vascular Pathology in Patients with Intracerebral Hemorrhage: The Modified Secondary Intracerebral Hemorrhage Score

BACKGROUND

Secondary intracerebral hemorrhage (SICH) score is used to predict risk of intracranial hemorrhage (ICH) associated vascular lesions. However, it has low clinical utility in identifying patients without need for neurovascular imaging. This study aims to develop a modified scoring system to capture patients with low risk of underlying vascular pathology, thereby decreasing need for vascular imaging and its associated morbidity.

METHODS

A retrospective analysis of 994 patients with atraumatic ICH over 8 years was conducted, excluding known underlying pathology, subarachnoid hemorrhage, or lack of vascular imaging. Using a multivariate logistic regression model, independent predictors of vascular pathology were identified and utilized toward developing a modified Secondary Intracerebral Hemorrhage (mSICH) score.

RESULTS

Of 575 patients identified, 60 (10.4%) had underlying vascular etiology. Statistically significant predictors of vascular pathology included age; female sex; admission systolic blood pressure <160 mm Hg; locations other than basal ganglia, thalamus, pons, or midbrain; presence of high-risk imaging features; and proximity to large vessel-containing cisterns. The mSICH score correlated with an increasing incidence of vascular pathology [0-1 (0%), 9 (4.3%), 12 (9.7%), 21 (40.4%), 6 (33.3%), 8 (88.9%), and 4 (100%)] and had a significantly higher number of patients receiving scores with 0% incidence of vascular lesions compared with the SICH score [159 (27.6%) versus 12 (2.1%); P < 0.001)].

CONCLUSIONS

The mSICH score can more accurately predict risk of underlying vascular pathology of ICH and identify patients with lowest risk of vascular pathology. This may minimize the cost and associated risks of invasive cerebrovascular imaging.