Coutinho, Jonathan

Abstract Background and aims Cardiac CT is increasingly used in the acute diagnostic work-up of acute ischemic stroke (AIS), but commonly used scan protocols do not allow assessment of left ventricular ejection fraction (LVEF), a known predictor of functional outcome. We aimed to develop a prediction model for reduced LVEF using clinical and imaging data. Methods This post-hoc analysis of the Mind the Heart study included AIS patients who underwent acute cardiac CT (acquired during diastole) and routine diagnostic work-up, including transthoracic echocardiography (TTE), which served as the reference standard for LVEF. Multivariable logistic regression models incorporating baseline variables, arterial input function (AIF) derived from CT-perfusion, and left atrial and ventricular cardiac CT volumes were developed using the training set (80%) to predict reduced LVEF (<50%). Performance was evaluated on the testing set (20%) using receiver operating characteristic analysis, reporting the area under the curve (AUC), sensitivity, and specificity. Non-linear associations were modeled using restricted cubic splines, and Least Absolute Shrinkage and Selection Operator regression was used for variable selection. We evaluated whether cardiac CT information improved model fit. Results We included 298 AIS patients (61% male, median age 71 [IQR 61-79] years), of whom 87 (29%) had reduced LVEF. The final model showed moderate discrimination (AUC 0.71), sensitivity (0.67) and specificity (0.70). Including cardiac CT volumes in addition to baseline and AIF variables improved model fit (p=0.04). Conclusions Our model may aid risk stratification for reduced LVEF in AIS patients undergoing acute cardiac CT and could support identification of patients in whom additional TTE is warranted. Conflict of interest MMW received the Arthur Fonville Award for Stroke Research in 2025 for this work. SSN received travel grants from the Cultuurfondsbeurs, Remmert Adriaan Laan Fonds, CONTRAST consortium and Dr. Jan Meerwaldt Stichting outside the submitted work, JMC reports grants from Medtronic, Siemens, AstraZeneca and Bayer outside the submitted work (all paid to institution). JMC is shareholder and co-founder of TrianecT. CBM reports grants from Stryker and Boeringher-Ingelheim outside the submitted work (paid to institution) and is shareholder of Nicolab (minority interest). LAR was supported by a personal Dekker Junior Clinical Scientist Grant from the Dutch Heart Foundation.The other authors have no financial conflicts of interest.

Background: The rate of intracardiac thrombus detection in the hyperacute phase of stroke varies from 5% to 12% between studies. Our aim was to compare the thrombus detection rate between ECG-gated and non-ECG-gated cardiac CT protocols in acute stroke patients, using data from a large, international, multicentre registry. Methods: We conducted an individual patient data meta-analysis by pooling prospective and retrospective observational data from stroke patients assessed at four comprehensive stroke centres who underwent either ECG-gated or non-ECG-gated cardiac CT (extended CT angiography or two-phase non-ECG-gated cardiac CT) as part of the acute stroke imaging protocol between May 2018 and June 2024. The primary outcome was the proportion of patients with a cardiac thrombus in gated vs non gated techniques. Results: Of 3,940 patients, 1,474 (37.4%) underwent ECG-gated and 2,466 (62.6%) non-ECG-gated cardiac CT. Patients in the ECG-gated group were younger (median age 72 [IQR 62–81] vs. 74 [IQR 64–82] years, p = 0.000) and had a lower NIHSS at baseline (median 5 [IQR 2–12] vs. 6 [IQR 3–13], p < 0.00). There was a higher rate of thrombus detection with ECG-gated CT compared to non-gated CT (7.5% vs. 5.5%, p = 0.011. The association remained significant after adjusting for age, sex, baseline NIHSS score, and baseline atrial fibrillation (adjusted OR 1.87, 95% CI 1.42–2.47, p = 0.000). ECG-gated CT was associated with lower radiation dose (3.6 vs. 6.3 mSv, p = 0.000) but longer acquisition time (5.8 vs. 0.28 min, p = 0.000). Conclusion: ECG-gated cardiac CT has a higher detection rate for intracardiac thrombus detection compared to non-ECG-gated CT in patients with acute ischemic stroke.