Hostname: page-component-586b7cd67f-dlnhk Total loading time: 0 Render date: 2024-12-08T20:15:43.833Z Has data issue: false hasContentIssue false

Clinical Predictors of Acute Ischemia in Patients with Low-Risk Neurological Deficits

Published online by Cambridge University Press:  03 June 2024

Martha Marko*
Affiliation:
Department of Neurology, Medical University of Vienna, Wien, Austria
Francois Moreau
Affiliation:
Department of Medicine (Neurology), CIUSSS de l’Estrie - CHUS, Sherbrooke University, Sherbrooke, QC, Canada
Jean-Martin Boulanger
Affiliation:
Department of Neurology, Charles LeMoyne Hospital, Sherbrooke University, Longeuil, QC, Canada
Marie-Christine Camden
Affiliation:
Department of Neurosciences, Enfant-Jésus Hospital, Laval University, Quebec, QC, Canada
Bruce C.V. Campbell
Affiliation:
Department of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
Thalia S. Field
Affiliation:
Vancouver Stroke Program, Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
Martin Krause
Affiliation:
Northern Clinical School, University of Sydney, Royal North Shore Hospital, Sydney, Australia
Robert Mikulik
Affiliation:
International Clinical Research Center, St. Anne’s University Hospital, Brno, Czech Republic Tomas Bata Regional Hospital, Zlin, Czech Republic
Andrew M. Penn
Affiliation:
Division of Neurology, Vancouver Island Health Authority, Victoria, BC, Canada
Richard H. Swartz
Affiliation:
Department of Medicine (Neurology), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada
Michael D. Hill
Affiliation:
Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Foothills Medical Centre, Calgary, Canada Department of Radiology, Cumming School of Medicine, University of Calgary, Foothills Medical Centre, Calgary, Canada Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Foothills Medical Centre, Calgary, Canada Cumming School of Medicine, Hotchkiss Brain Institute, University of Calgary, Foothills Medical Centre, Calgary, Canada Department of Medicine, Cumming School of Medicine, University of Calgary, Foothills Medical Centre, Calgary, Canada
Shelagh B. Coutts
Affiliation:
Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Foothills Medical Centre, Calgary, Canada Department of Radiology, Cumming School of Medicine, University of Calgary, Foothills Medical Centre, Calgary, Canada Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Foothills Medical Centre, Calgary, Canada Cumming School of Medicine, Hotchkiss Brain Institute, University of Calgary, Foothills Medical Centre, Calgary, Canada
*
Corresponding author: Martha Marko; Email: martha.marko@meduniwien.ac.at
Rights & Permissions [Opens in a new window]

Abstract:

Background:

Diagnosis of acute ischemia typically relies on evidence of ischemic lesions on magnetic resonance imaging (MRI), a limited diagnostic resource. We aimed to determine associations of clinical variables and acute infarcts on MRI in patients with suspected low-risk transient ischemic attack (TIA) and minor stroke and to assess their predictive ability.

Methods:

We conducted a post-hoc analysis of the Diagnosis of Uncertain-Origin Benign Transient Neurological Symptoms (DOUBT) study, a prospective, multicenter cohort study investigating the frequency of acute infarcts in patients with low-risk neurological symptoms. Primary outcome parameter was defined as diffusion-weighted imaging (DWI)-positive lesions on MRI. Logistic regression analysis was performed to evaluate associations of clinical characteristics with MRI-DWI-positivity. Model performance was evaluated by Harrel’s c-statistic.

Results:

In 1028 patients, age (Odds Ratio (OR) 1.03, 95% Confidence Interval (CI) 1.01–1.05), motor (OR 2.18, 95%CI 1.27–3.65) or speech symptoms (OR 2.53, 95%CI 1.28–4.80), and no previous identical event (OR 1.75, 95%CI 1.07–2.99) were positively associated with MRI-DWI-positivity. Female sex (OR 0.47, 95%CI 0.32–0.68), dizziness and gait instability (OR 0.34, 95%CI 0.14–0.69), normal exam (OR 0.55, 95%CI 0.35–0.85) and resolved symptoms (OR 0.49, 95%CI 0.30–0.78) were negatively associated. Symptom duration and any additional symptoms/symptom combinations were not associated. Predictive ability of the model was moderate (c-statistic 0.72, 95%CI 0.69–0.77).

Conclusion:

Detailed clinical information is helpful in assessing the risk of ischemia in patients with low-risk neurological events, but a predictive model had only moderate discriminative ability. Patients with clinically suspected low-risk TIA or minor stroke require MRI to confirm the diagnosis of cerebral ischemia.

Résumé :

RÉSUMÉ :

Prédicteurs cliniques de l’ischémie aiguë chez des patients présentant des déficits neurologiques à faible risque

Contexte :

Le diagnostic d’ischémie aiguë repose généralement sur la mise en évidence de lésions ischémiques dans le cadre d’un examen d’imagerie par résonance magnétique (IRM), une ressource diagnostique limitée. À cet égard, nous avons cherché à déterminer les associations entre les variables cliniques et les infarctus aigus détectés au moyen d’un examen d’IRM chez des patients soupçonnés d’avoir été victimes d’un accident ischémique transitoire (AIT) à faible risque ou d’un accident vasculaire cérébral (AVC) mineur. Qui plus est, nous avons cherché à évaluer les capacités de prédiction de ces associations.

Méthodes :

Nous avons effectué une analyse post-hoc de l’étude DOUBT (Diagnosis of Uncertain-Origin Benign Transient Neurological Symptoms). Il s’agit d’une étude de cohorte prospective et multicentrique portant sur la fréquence des infarctus aigus chez des patients présentant des symptômes neurologiques à faible risque. Le principal paramètre en matière de résultat a été défini comme des lésions détectées par imagerie de diffusion lors d’un examen d’IRM. Une analyse de régression logistique a été réalisée pour évaluer les associations entre les caractéristiques cliniques des patients et la positivité des résultats par imagerie de diffusion. La performance de notre modèle a été ensuite évaluée à l’aide de l’indice C de Harrel.

Résultats :

Chez 1028 patients, l’âge (RC 1,03 ; IC 95 % 1,01-1,05), les symptômes moteurs (RC 2,18 ; IC 95 % 1,27-3,65) ou liés à l’élocution (RC 2,53 : IC 95 % 1,28-4,80), de même que l’absence d’événement identique antérieur (RC 1,75 ; IC 95 % 1,07-2,99) ont été positivement associés à la positivité des résultats d’imagerie par diffusion. En revanche, le sexe féminin (RC 0,47 ; IC 95 % 0,32-0,68), les vertiges et l’instabilité de la démarche (RC 0,34 : IC 95 % 0,14-0,69), un examen normal (RC 0,55 ; IC 95% 0,35-0,85) et des symptômes résolus (RC 0,49 : IC 95% 0,30-0,78) ont été négativement associés à la positivité des résultats d’imagerie par diffusion. La durée des symptômes et toutes les combinaisons de symptômes supplémentaires n’étaient pas associées. Enfin, la capacité prédictive du modèle était modérée (indice C : 0,72 ; IC 95 % 0,69-0,77).

Conclusions :

Des renseignements cliniques détaillés sont utiles pour évaluer le risque d’ischémie chez les patients présentant des événements neurologiques à faible risque. Cela dit, notre modèle prédictif n’avait qu’une capacité de discrimination modérée. Sur le plan clinique, les patients chez lesquels on soupçonne un AIT à faible risque ou un AVC mineur ont besoin d’un examen d’IRM pour confirmer un diagnostic d’ischémie cérébrale.

Type
Original Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Canadian Neurological Sciences Federation

Introduction

Accurate diagnosis of acute ischemia in patients presenting with transient or minor neurological deficits is important because a diagnosis of true cerebral ischemia further influences risk stratification and treatment decisions. Patients with transient ischemic attacks (TIA) or minor stroke carry a substantial early risk of recurrent ischemic events, Reference Wu, McLaughlin, Lorenzetti, Hill, Manns and Ghali1,Reference Amarenco, Lavallée and Labreuche2 and appropriate and early secondary prevention is essential to reduce the risk of future ischemic events and disability. Reference Rothwell, Giles and Chandratheva3 This risk can be stratified by clinical and imaging factors. It is known that motor or speech symptoms, longer duration Reference Johnston, Rothwell and Nguyen-Huynh4 and associated vascular disease (e.g., extracranial carotid artery stenosis) Reference Coutts, Modi, Patel, Demchuk, Goyal and Hill5 are predictors of a higher risk of recurrent stroke. Consequently, these features define a “high-risk” event Reference Coutts, Modi, Patel, Demchuk, Goyal and Hill5 and are the basis for clinical prediction scores of recurrent ischemia such as the “ABCD2” score. Reference Johnston, Rothwell and Nguyen-Huynh4,Reference Rothwell, Giles and Flossmann6 Available prediction scores are largely driven by the “C” – the clinical presentation with motor and speech symptoms. Reference Sheehan, Merwick and Kelly7 However, there is also evidence of a comparable risk of recurrent ischemia in patients presenting with non-classical symptoms. Reference Tuna and Rothwell8 Additionally, if early magnetic resonance imaging (MRI) can be performed, the presence of diffusion-weighted imaging (DWI)-positive lesions has been shown to be associated with an increased risk of recurrent ischemic events. Reference Coutts, Modi, Patel, Demchuk, Goyal and Hill5,Reference Hurford, Li, Lovett, Kubiak, Kuker and Rothwell9Reference Coutts, Simon and Eliasziw11 Approximately one third of all patients presenting with transient neurological symptoms show one or more DWI-positive lesions on brain MRI. Reference Brazzelli, Chappell and Miranda12

In contrast, “low-risk” transient or persistent minor neurological symptoms are defined by the lack of “high-risk” factors. Low-risk events were studied in the Diagnosis of Uncertain-Origin Transient Neurological Symptoms (DOUBT) study which reported that clinical low-risk neurological events were associated with acute ischemic lesions on DWI-MRI in over 13%. Furthermore, while the rate of clinical recurrent stroke events was low (0.7% at one year), consistent with the clinically low-risk population, the presence of DWI-positive MRI was associated with an increased risk of recurrent ischemic stroke. Reference Coutts, Moreau and Asdaghi13

MRI has significant resource implications with limited access in many countries. Reference Geethanath and Vaughan14,Reference Bhat, Fernandes and Poojar15 If clinical factors alone could predict the risk of stroke in patients with transient or minor neurological deficits, it might mitigate the need for early MRI. Therefore, we aimed to assess associations of easily available clinical parameters with the presence or absence of acute infarcts defined as DWI-positive lesions on brain MRI in patients with low-risk transient and minor neurological symptoms and evaluate their predictive ability for acute ischemia.

Methods

Patient sample – DOUBT study population

DOUBT was a prospective, international, multicenter cohort study investigating the frequency of acute ischemic infarcts on MRI in patients with low-risk neurological symptoms. Reference Coutts, Moreau and Asdaghi13 A total of 1028 patients were enrolled between June 2010 and October 2016. Inclusion criteria were: age > 40 years, possible low-risk TIA or minor stroke, a National Institute of Health Stroke Scale ≤ 3 in case of persistent symptoms and brain MRI within 8 days from symptom onset. Possible low-risk TIA or minor stroke was defined as either nonmotor or nonspeech symptoms of any duration, or motor or speech symptoms lasting for ≤ 5 minutes. Patients were excluded if they had high-risk clinical features (motor or speech symptoms > 5 minutes), had experienced an episode of isolated monocular vision loss, had a history of prior stroke, a modified Rankin Scale (mRS) > 2, a limited life expectancy of less than 12 months, a contraindication to perform MRI or a definite alternative cause for their presenting symptoms according to the investigator. Patients were enrolled within 8 days of symptom onset and prior to performing brain MRI. Patient assessment included a detailed neurological examination and provisional diagnosis by a stroke neurologist. Clinical neurological symptoms were classified as lateralized or non-lateralized symptoms. Lateralized symptoms included sensory, motor and visual afferent symptoms (further differentiated into negative and positive visual phenomena), as well as limb ataxia and gait instability. Non-lateralized symptoms included diplopia, dizziness, aphasia, dysarthria, confusion without aphasia and altered level of consciousness. Brain MRI including DWI-sequences was performed according to local standards on 1.5 or 3.0 tesla MRI machines; acquired images were centrally reviewed by a neuroradiologist blinded to patients’ clinical symptoms. Reference Coutts, Moreau and Asdaghi13

All patients provided informed consent prior to enrollment in the DOUBT study; local ethics boards approved the study at all participating sites. Reference Coutts, Moreau and Asdaghi13

Data analysis

This is a post-hoc analysis of prospectively collected data in the DOUBT study.

Baseline characteristics including demographic variables, detailed symptomatology and time metrics as well as outcome parameters were descriptively evaluated for the overall population. The primary outcome was the same as in the main study, defined as the presence of DWI-positive lesions on MRI indicating an acute ischemic stroke.

Clinical symptoms were included according to the abovementioned classification. To investigate a potential association between specific symptoms and symptom combinations with MRI-DWI-positivity, absolute numbers for all possible symptom pairs and symptom triplets were assessed. In a second step, associations between symptoms and symptom combinations with at least one observation and MRI-DWI-positivity were assessed by univariable logistic regressions.

Next, significant results for symptoms (irrespective of any symptom combinations) and symptom pairs and triplets obtained from univariable analysis and clinical variables shown to be significantly associated with MRI-DWI-positivity in the primary DOUBT analysis (age, sex, resolved symptoms, neurological exam and history of a previous identical event) Reference Coutts, Moreau and Asdaghi13 were combined in a multivariable logistic regression model to evaluate associations of clinical findings and MRI-DWI-positivity. Subsequently, significant variables from this model were transferred to a final model including overall symptom duration as an additional independent variable. For sensitivity analysis, calculation of this model was restricted to patients with resolved symptoms at the time of presentation. Furthermore, we evaluated a potential effect modification by symptom duration on each included symptom/symptom combination by adding interaction terms of each symptom/symptom combination and symptom duration. Additionally, the analysis was repeated in the subgroup of patients without any motor or speech symptoms (excluding patients with any motor symptoms, aphasia or dysarthria).

Model performance of the final logistic regression model was assessed by calculating its discriminative ability, which is reported as Harrel’s c-statistic (ranging from 0.5 to 1.0; good discriminative ability is characterized by a c-statistic approaching 1). Reference Harrell, Califf, Pryor, Lee and Rosati16

Statistical analyses were performed in STATA (version 16.0) and R (version 3.6.1). All tests were two-sided; levels of statistical significance were defined as alpha < 0.05.

Data availability

Data supporting the reported findings are currently not publicly available; requests about data access should be addressed to the corresponding author.

Results

This post-hoc analysis was conducted in the whole patient sample of the DOUBT study, comprising a total of 1028 patients. Detailed baseline characteristics of enrolled patients have been published previously. Reference Coutts, Moreau and Asdaghi13 In summary, median age was 63.0 years (IQR: 54.1–71.5), 522 patients (50.8%) were female, 238 patients (23.2%) had a previous identical event, 370 patients (36.0%) had ongoing symptoms at the time of assessment and 740 patients (72.0%) had a normal neurological exam. A total of 139 patients (13.5%) had DWI-positive lesions on brain MRI. Patients with acute infarcts on DWI-MRI were older, less frequently female, presented less frequently with a previous identical event, were less likely to have a normal exam and more likely to have ongoing symptoms. Reference Coutts, Moreau and Asdaghi13 Median symptom duration was 370 min (IQR: 45–2160 min); in the subgroup of patients with resolved symptoms, median symptom duration was 120 min (IQR: 15–360 min). For patients with ongoing symptoms, median symptom duration (defined as time from symptom onset until first clinical assessment) was 2340min (IQR: 900–5760 min). Symptom durations for different patient subgroups stratified by MRI-DWI-positivity are illustrated in Supplemental Figure 1.

The most frequent symptoms irrespective of any symptom combination were any sensory symptoms (n = 595, 57.9% of the total study population), dizziness (n = 327, 31.8%) and gait instability (n = 307, 29.9%). Patient characteristics stratified by symptom subgroups are provided in Supplemental Table 1; importantly, for the entire analysis, motor or speech symptoms were limited to a duration of ≤ 5 minutes as per the main study inclusion/exclusion criteria. The most frequent symptom pairs were dizziness and gait instability (n = 117, 11.4%), any motor and any sensory symptoms (n = 53, 5.2%), and any sensory symptoms and dizziness (n = 42, 4.1%). The most frequent symptom triplets were any sensory symptoms, gait instability and dizziness (n = 22, 2.1%) and diplopia, gait instability and dizziness (n = 18, 1.8%). Detailed information on frequencies of different symptoms and symptom combinations (pairs and triplets) and corresponding frequencies of acute infarcts on DWI-MRI is provided in Supplemental Tables 2-4.

On univariable analysis, any motor symptoms (≤5min), limb ataxia, and aphasia (≤5min; all irrespective of any symptom combinations) and the symptom pair of any sensory symptoms/limb ataxia were associated with increased odds of MRI-DWI-positivity. Positive visual symptoms, dizziness (both irrespective of any symptom combinations) and the symptom pair of gait instability/dizziness were negatively associated with MRI-DWI-positivity. Odds ratios and corresponding 95% confidence intervals are provided in Table 1.

Table 1. Univariable analysis–statistically significant associations of symptoms and symptom combinations with MRI-DWI-positivity

MRI = Magnetic Resonance Imaging; DWI = Diffusion-Weighted Imaging; OR = Odds Ratio; CI = Confidence Interval.

A statistically significant association of symptoms and symptom combinations with MRI-DWI-positivity on multivariable analysis was preserved for any motor symptoms (≤5 min, OR 2.18, 95%CI 1.27–3.65, irrespective of symptom combinations), aphasia (≤5 min, OR 2.53, 95%CI 1.28–4.80, irrespective of symptom combinations) and the symptom pair gait instability/dizziness (OR 0.34, 95%CI 0.14–0.69; odds ratios are derived from the final regression model, Table 2). On final multivariable logistic regression analysis, we further observed a positive association of MRI-DWI-positivity with age (OR 1.03, 95%CI 1.01–1.05, per year of older age), and having no previous identical event (OR 1.75, 95%CI 1.07–2.99), and a negative association with female sex (OR 0.47, 95%CI 0.32–0.68), normal neurological exam (OR 0.55, 95%CI 0.35–0.85) and resolved symptoms (OR 0.49, 95%CI 0.30–0.78). There was no statistically significant association between overall symptom duration and MRI-DWI-positivity (Table 2) and no evidence of effect modification by symptom duration on any symptom variable. Similarly, sensitivity analysis in the subgroup of patients with resolved symptoms did not show a statistically significant influence of overall symptom duration on MRI-DWI-positivity (Supplemental Table 5).

Table 2. Multivariable analysis–association of clinical findings with MRI-DWI-positivity

MRI = Magnetic Resonance Imaging; DWI = Diffusion-Weighted Imaging; OR = Odds Ratio; CI = Confidence Interval.

Harrel’s c-statistic illustrating model performance of the final multivariable logistic regression model including symptom duration was 0.72 (95%CI 0.69-0.77).

In the subgroup of patients without any motor or speech symptoms (n = 810/1028 (78.8%)), limb ataxia (OR 2.71, 95%CI 1.17–5.79) and the symptom pair any sensory symptom/limb ataxia (OR 4.89, 95%CI 1.23–17.42) were significantly associated with MRI-DWI-positivity on univariable analysis, but this was not preserved on multivariable logistic regression analysis (Supplemental Table 6). Again, overall symptom duration was not significantly associated with MRI-DWI-positivity in this subgroup (OR 1.00, 95%CI 0.99–1.00).

Discussion

In this post-hoc analysis of patients selected by their presentation with low-risk transient or persistent minor neurological symptoms, we observed an association of various clinical factors with the presence of DWI-positive brain MRI performed within 8 days from symptom onset. Increasing age, presentation with motor or speech symptoms ≤ 5 min, and no history of a previous identical event were positively associated with the presence of DWI-positive MRI whereas female sex, presentation with dizziness and gait instability, normal neurological exam and resolved symptoms showed a negative association. Additional clinical factors, namely symptom duration, did not show a significant association with MRI-DWI-positivity. Predictive ability for MRI-DWI-positivity of these easily available clinical factors was only moderate. In comparison to the main analysis of the DOUBT study, this post-hoc analysis provides a more extensive and detailed assessment of clinical characteristics and symptoms and their associations with MRI-DWI-positivity even though the majority of those additional characteristics was not significantly associated.

Associations of clinical factors with the presence of DWI-positive brain MRI in patients with TIA and minor stroke have been investigated and reported previously, including age and presentation with motor or speech symptoms. Reference Rothwell, Giles and Flossmann6,Reference Crisostomo, Garcia and Tong17,Reference Purroy, Montaner, Rovira, Delgado, Quintana and Alvarez-Sabín18 Most of these previous analyses were performed in an overall population of patients diagnosed with a TIA, and we could now confirm these associations also for the subgroup of patients presenting with low-risk transient or minor persistent neurological symptoms. The negative association of female sex and MRI-DWI-positivity might be explained by higher a proportion of stroke mimics in women, Reference Merino, Luby and Benson19 and sex-specific differences in clinical presentation and diagnosis of events in the DOUBT population have been investigated in detail previously. Reference Yu, Hill and Asdaghi20 In addition, we observed an influence of any abnormal findings on neurological exam (potentially revealing subtle persistent deficits), the absence of previous identical episodes (decreasing the likelihood of differential diagnoses of stroke mimics such as epileptic seizures or migraines, which usually present as stereotypical and identical episodes) and ongoing symptoms at the time of neurological assessment on the presence of DWI-positive MRI. These easily available clinical characteristics might be able to add information about the possibility of finding acute infarcts on MRI to the abovementioned, already established clinical factors.

In addition to knowing which clinical parameters help to identify patients with DWI-positive MRI, it is also important to be aware of clinical variables that have limited ability to predict acute ischemic lesions. In contrast to previous studies reporting associations of symptom duration with an increased risk of recurrent ischemic events and the presence of acute ischemic lesions on brain MRI, Reference Rothwell, Giles and Flossmann6,Reference Purroy, Montaner, Rovira, Delgado, Quintana and Alvarez-Sabín18,Reference Shah, Saver and Kidwell21 we did not observe a statistically significant association between overall symptom duration and MRI-DWI-positivity in our patient sample. Furthermore, there was no significant influence of interactions between specific symptoms and symptom duration. According to a previously published analysis, physicians interpret short duration symptoms as less consequential and prefer to perform MRI in patients with TIA or minor stroke if neurological deficits last for more than 6 hours. Reference Chaturvedi, Ofner and Baye22 In light of our results however, symptom duration alone might not be an optimal choice to guide decisions about whether to perform MRI in patients with low-risk neurological events or not.

Patient assessment in the DOUBT study included a thorough evaluation of neurological symptoms and detailed clinical symptom classification. We investigated all possible symptom pairs and triplets to cover a broad spectrum of clinical presentations of included patients. However, in addition to the abovementioned and previously often reported association of motor and speech symptoms with MRI-DWI-positivity, we only observed a statistically significant negative association for the symptom pair gait instability and dizziness. Any other symptoms or symptom combinations were not significantly associated with MRI-DWI-positivity. In a sensitivity analysis restricted to patients without any motor or speech symptoms no clinical symptom or symptom combination was significantly associated with MRI-DWI-positivity on multivariable analysis. Even though this analysis might be limited in its power by low numbers of patients in many of these symptom subgroups, this fact also highlights the heterogeneity of clinical presentations of patients with low-risk transient or minor ischemic events. Overall, our findings indicate that apart from motor and speech symptoms and dizziness/gait instability, presenting symptoms are not reliable enough to predict the presence or absence of DWI-positive MRI. In addition, the overall discriminative ability of the logistic regression model to predict MRI-DWI-positivity in the individual patient was moderate, indicated by a c-statistic of 0.72. In comparison, a previous study reports a discriminative ability of different versions of the ABCD-score as well as the Dawson-score for the prediction of MRI-DWI-positivity in patients with TIA ranging between an Area Under the Curve (AUC)/c-statistic of 0.63 and 0.85. Reference Yuan, Jia and Song23 Even though in clinical practice knowledge of certain clinical phenotypes of patients with low-risk events which are highly associated with MRI-DWI-positivity or a clinical prediction score of MRI-DWI-positivity in these patients would be very helpful, we are unfortunately not able to provide such information based on these results. Given the heterogeneity of clinical presentations, larger trials covering higher numbers of these different phenotypes would be needed to improve prediction capability.

Importantly, there are limitations to MR-imaging. First, even though MRI-DWI-positivity is highly reliable in detecting acute ischemia on MRI, not all patients with true ischemia might be captured by MRI (DWI-negative ischemia). Therefore, a DWI-positive MRI can confirm the diagnosis of an ischemic event, but a DWI-negative MRI cannot completely rule out that an event was ischemic in nature; these patients could not be accounted for in our analysis. In addition, an observed DWI-lesion might not be causative for a patient’s symptoms. A detailed analysis of infarct patterns and a correlation to presenting symptoms was not performed within the scope of this analysis. However, any DWI-lesion, even if it might not necessarily anatomically correspond to a patient’s symptoms, can still be considered a marker of ischemia, and support the diagnosis of an ischemic event.

Our study has further limitations; first, this is a post-hoc analysis of a prospective cohort study, which had the primary purpose of evaluating the frequency of MRI-DWI-positivity, but not to assess predictors of acute ischemia. Second, frequencies of specific symptoms and especially frequencies of specific symptom combinations were relatively low, which limits the possibilities to accurately assess their influence on MRI-DWI-positivity. Third, the restriction of a maximum symptom duration of 5 minutes for the presentation with motor or speech symptoms as per the main study inclusion/exclusion criteria might affect calculations of the influence of symptom duration on MRI-DWI-positivity. However, this restriction is necessary to comply with the definition of low-risk ischemic events and cannot be avoided for this analysis. Last, the DOUBT-dataset might not cover all potential predictors of MRI-DWI-positivity and there might be additional, unmeasured characteristics which could improve the model’s predictive capability.

Conclusion

Previously reported associations of age, motor symptoms and aphasia with MRI-DWI-positivity in clinically high-risk patients also apply to patients with low-risk neurological events. In addition, an abnormal neurological exam, ongoing symptoms and absence of any previous identical event are also associated with MRI-DWI-positivity in low-risk patients. However, additional clinical characteristics such as overall symptom duration or any other lateralized or non-lateralized neurological symptoms and symptom combinations were not associated with the diagnosis of acute ischemic lesions on brain imaging, and the overall predictive ability for MRI-DWI-positivity of easily available clinical characteristics was only moderate. In conclusion, the combination of clinical characteristics based on a detailed history of a neurological event and neurological exam can be helpful in assessing the risk of acute ischemia on MRI, but their predictive ability is limited by the heterogeneity of clinical presentations. Based on these results, even the clinically suspected low-risk TIA/minor stroke patient still needs an MRI to confirm the diagnosis of acute ischemia and future studies will need to evaluate the benefit of a thorough etiological work up and secondary preventive measures in this population. In addition, further research in larger and more diverse cohorts might be helpful in improving the prediction of MRI-DWI-positivity in patients with low-risk events early during the course of their presentation (i.e. in the emergency department setting) and to improve real-world clinical practice (e.g. adequate triaging of patients for admission and outpatient work-up).

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/cjn.2024.274.

Author contributions

FM, JMB, MCC, BCVC, TSF, MK, RM, AMP, RHS, MDH and SBC were involved in patient recruitment. MM, MDH and SBC planned and conducted the statistical analysis and drafted the first version of the manuscript. All authors reviewed and edited the manuscript and approved its final version.

Funding statement

None.

Competing interests

MM received honoraria from Boehringer Ingelheim outside the submitted work.

FM received grants from the Canadian Institute of Health Research (CIHR) during the conduct of the DOUBT study and grants from the Canadian Stroke Consortium outside the submitted work.

JMB received travel support by Pfizer during the conduct of the DOUBT study.

MC received travel support from the University of Calgary during the conduct of the DOUBT study.

TSF reports grants from Bayer Canada, grants from the CIHR during the conduct of the DOUBT study, honoraria by HLS Therapeutics, payment for expert witness, personal fees for participation on a Data Safety Monitoring Board (DSMB)/Advisory Board from Bayer Canada, HLS Therapeutics, Roche, AstraZeneca and Novartis and a board membership and stock options for DESTINE Health.

MK reports support by the Northern Clinical School University of Sydney and the University of Macquarie.

RM reports honoraria by Boehringer Ingelheim, Novartis and Novo Nordisk and a grant by STROCZECH-CZERIN (grant no. LM2023049, paid to St. Anne’s University Hospital Brno).

AMP reports support by Genome Canada, Genome BD and the Heart and Stroke Foundation of Canada.

RHS reports salary support by the department of Medicine (Sunnybrook HSC, University of Toronto), grants by Bastable-Potts Chair in Stroke Research, CIHR, NIH and Ontario Brain Institute, participation in an advisory board for Hoffman LaRoche Inc., and stock options with FollowMD Inc.

MDH reports grants from the Canadian Institute of Health Research (CIHR) for the DOUBT project and additional grants (public and industry) for clinical trials not related to the DOUBT study, participation on DSMBs for the RACECAT, Oncovir Hiltonel, DUMAS, ARTESIA and BRAIN-AF; he is the president of the Canadian Neurological Sciences Federation (non-profit) and a board member of the Canadian Stroke Consortium (non-profit).

SBC received grants from the Canadian Institute of Health Research during the conduct of the DOUBT study and grants from the Heart and Stroke Foundation of Canada, Genome Canada, and Boehringer Ingelheim outside the submitted work.

BCVC reports no disclosures.

References

Wu, CM, McLaughlin, K, Lorenzetti, DL, Hill, MD, Manns, BJ, Ghali, WA. Early risk of stroke after transient ischemic attack: a systematic review and meta-analysis. Arch Intern Med. 2007;167:2417–22. DOI: 10.1001/archinte.167.22.2417.Google Scholar
Amarenco, P, Lavallée, PC, Labreuche, J, et al. One-year risk of stroke after transient ischemic attack or minor stroke. N Engl J Med. 2016;374:1533–42. DOI: 10.1056/NEJMoa1412981.Google Scholar
Rothwell, PM, Giles, MF, Chandratheva, A, et al. Effect of urgent treatment of transient ischaemic attack and minor stroke on early recurrent stroke (EXPRESS study): a prospective population-based sequential comparison. Lancet. 2007;370:1432–42. DOI: 10.1016/s0140-6736(07)61448-2.Google Scholar
Johnston, SC, Rothwell, PM, Nguyen-Huynh, MN, et al. Validation and refinement of scores to predict very early stroke risk after transient ischaemic attack. Lancet. 2007;369:283–92. DOI: 10.1016/s0140-6736(07)60150-0.Google Scholar
Coutts, SB, Modi, J, Patel, SK, Demchuk, AM, Goyal, M, Hill, MD. CT/CT angiography and MRI findings predict recurrent stroke after transient ischemic attack and minor stroke: results of the prospective CATCH study. Stroke. 2012;43:1013–7. DOI: 10.1161/strokeaha.111.637421.Google Scholar
Rothwell, PM, Giles, MF, Flossmann, E, et al. A simple score (ABCD) to identify individuals at high early risk of stroke after transient ischaemic attack. Lancet. 2005;366:2936. DOI: 10.1016/s0140-6736(05)66702-5.Google Scholar
Sheehan, OC, Merwick, A, Kelly, LA, et al. Diagnostic usefulness of the ABCD2 score to distinguish transient ischemic attack and minor ischemic stroke from noncerebrovascular events: the North Dublin TIA study. Stroke. 2009;40:3449–54. DOI: 10.1161/strokeaha.109.557074.Google Scholar
Tuna, MA, Rothwell, PM. Diagnosis of non-consensus transient ischaemic attacks with focal, negative, and non-progressive symptoms: population-based validation by investigation and prognosis. Lancet. 2021;397:902–12. DOI: 10.1016/s0140-6736(20)31961-9.Google Scholar
Hurford, R, Li, L, Lovett, N, Kubiak, M, Kuker, W, Rothwell, PM. Prognostic value of “tissue-based” definitions of TIA and minor stroke: population-based study. Neurology. 2019;92:e2455e61. DOI: 10.1212/wnl.0000000000007531.Google Scholar
Yaghi, S, Rostanski, SK, Boehme, AK, et al. Imaging parameters and recurrent cerebrovascular events in patients with minor stroke or transient ischemic attack. JAMA Neurol. 2016;73:572–8. DOI: 10.1001/jamaneurol.2015.4906.Google Scholar
Coutts, SB, Simon, JE, Eliasziw, M, et al. Triaging transient ischemic attack and minor stroke patients using acute magnetic resonance imaging. Ann Neurol. 2005;57:848–54. DOI: 10.1002/ana.20497.Google Scholar
Brazzelli, M, Chappell, FM, Miranda, H, et al. Diffusion-weighted imaging and diagnosis of transient ischemic attack. Ann Neurol. 2014;75:6776. DOI: 10.1002/ana.24026.Google Scholar
Coutts, SB, Moreau, F, Asdaghi, N, et al. Rate and prognosis of brain ischemia in patients with lower-risk transient or persistent minor neurologic events. JAMA Neurol. 2019;76:1439–45. DOI: 10.1001/jamaneurol.2019.3063.Google Scholar
Geethanath, S, Vaughan, JT Jr. Accessible magnetic resonance imaging: a review. J Magn Reson Imaging. 2019;49:e65e77. DOI: 10.1002/jmri.26638.Google Scholar
Bhat, SS, Fernandes, TT, Poojar, P, et al. Low-field MRI of stroke: challenges and opportunities. J Magn Reson Imaging. 2021;54:372–90. DOI: 10.1002/jmri.27324.Google Scholar
Harrell, FE Jr., Califf, RM, Pryor, DB, Lee, KL, Rosati, RA. Evaluating the yield of medical tests. JAMA. 1982;247:2543–6.Google Scholar
Crisostomo, RA, Garcia, MM, Tong, DC. Detection of diffusion-weighted MRI abnormalities in patients with transient ischemic attack: correlation with clinical characteristics. Stroke. 2003;34:932–7. DOI: 10.1161/01.Str.0000061496.00669.5e.Google Scholar
Purroy, F, Montaner, J, Rovira, A, Delgado, P, Quintana, M, Alvarez-Sabín, J. Higher risk of further vascular events among transient ischemic attack patients with diffusion-weighted imaging acute ischemic lesions. Stroke. 2004;35:2313–9. DOI: 10.1161/01.Str.0000141703.21173.91.Google Scholar
Merino, JG, Luby, M, Benson, RT, et al. Predictors of acute stroke mimics in 8187 patients referred to a stroke service. J Stroke Cerebrovasc Dis. 2013;22:e397403. DOI: 10.1016/j.jstrokecerebrovasdis.2013.04.018.Google Scholar
Yu, AYX, Hill, MD, Asdaghi, N, et al. Sex differences in diagnosis and diagnostic revision of suspected minor cerebral ischemic events. Neurology. 2021;96:e732e9. DOI: 10.1212/wnl.0000000000011212.Google Scholar
Shah, SH, Saver, JL, Kidwell, CS, et al. A multicenter pooled, patient-level data analysis of diffusion-weighted MRI in TIA patients. Stroke. 2007;38:463.Google Scholar
Chaturvedi, S, Ofner, S, Baye, F, et al. Have clinicians adopted the use of brain MRI for patients with TIA and minor stroke? Neurology. 2017;88:237–44. DOI: 10.1212/wnl.0000000000003503.Google Scholar
Yuan, J, Jia, Z, Song, Y, et al. Incidence and predictors of acute ischemic lesions on brain magnetic resonance imaging in patients with a clinical diagnosis of transient ischemic attack in China. Front Neurol. 2019;10:764. DOI: 10.3389/fneur.2019.00764.Google Scholar
Figure 0

Table 1. Univariable analysis–statistically significant associations of symptoms and symptom combinations with MRI-DWI-positivity

Figure 1

Table 2. Multivariable analysis–association of clinical findings with MRI-DWI-positivity

Supplementary material: File

Marko et al. supplementary material

Marko et al. supplementary material
Download Marko et al. supplementary material(File)
File 514.6 KB