Objective:To investigate the therapeutic effect of sequential therapy with butylphthalein on acute cerebral infarction and mild-to-moderate increases in middle cerebral artery blood flow in patients.Methods:The clinical data of 92 patients with acute cerebral infarction and mild-to-moderate increases in middle cerebral artery blood flow who received treatment at the Xiaogan Hospital Affiliated to Wuhan University of Science and Technology from January 2018 to October 2021 were retrospectively analyzed. These patients were divided into a study group and a control group using a random number table method. The control group was given an intravenous infusion of butylphthalein sodium chloride injection, while the study group took oral butylphthalein soft capsules after intravenous infusion of butylphthalein sodium chloride injection. The baseline data, hemodynamics, neurological function, and clinical outcomes were compared between the two groups. At 90 days after treatment, the National Institutes of Health Stroke Scale (NIHSS), the Activity of Daily Living Scale (ADL), and the modified Rankin Scale (mRS) were used to evaluate clinical outcomes. Transcranial Doppler ultrasound (TCD) examination was performed to evaluate hemodynamic changes.Results:A total of 92 patients completed all the observation indices as required, including 48 patients in the study group and 44 patients in the control group. There were no significant differences in demographics, vascular risk factors, laboratory results, NIHSS score, ADL score, or arterial hemodynamics of the diseased brain between the two groups (all P > 0.05). At 90 days after treatment, the NIHSS score in the study group was significantly lower than that in the control group [(4.00 ± 1.95) points vs. (4.91 ± 2.08) points; t =-2.16, P = 0.033]. The ADL score in the study group was significantly higher than that in the control group [(82.71 ± 9.56) points vs. (76.25 ± 11.47) points; t = 2.94, P = 0.004]. The good rate of outcomes in the study group was significantly higher than that in the control group [70.83% (34/48) vs. 50.00% (22/44); χ2 = 4.18, P = 0.041]. There were significant differences in the peak systolic velocity [(152.33 ± 9.58) cm/s vs. (157.41 ± 11.77) cm/s; t = 2.27, P = 0.025] and the mean velocity [(90.00 ± 8.30) cm/s vs. (94.45 ± 9.07) cm/s; t = -2.46, P = 0.016] of the middle cerebral artery between the study and control groups. The difference in pulsitility index between the two groups was not statistically significant [(0.97 ± 1.06) vs. (1.01 ± 1.21); t = 1.69, P = 0.093]. Compared with the poor outcome group, patients in the good outcome group had lower NIHSS and ADL scores after discharge (both P < 0.001), and the proportion of patients who received sequential therapy with butylphthalein in the good outcome group was higher [(60.70% (34/56) vs. 38.90% (14/36); χ2 = 4.18, P = 0.041]. Conclusion:Sequential therapy with butylphthalein can reduce neurological deficits, promote neurological function recovery, improve the hemodynamics of diseased blood vessels, and greatly improve daily living activities in patients with acute cerebral infarction complicated by mild to moderate increases in middle cerebral artery blood flow.

Objective:To investigate the correlation between right-to-left shunt (RLS) and infarct pattern in patients with cryptogenic stroke.Methods:Young and middle-aged patients with acute cryptogenic stroke admitted to the Department of Neurology, Xiaogan Central Hospital from May 2016 to January 2020 were enrolled retrospectively. The demographic data, vascular risk factors, baseline blood pressure, laboratory findings, stroke severity, infarct location and distribution pattern were documented. The patients were divided into RLS group and non-RLS group according to the findings of the transcranial Doppler ultrasound foaming test. They were divided into single lesion group and multiple-lesion group according to the findings of diffusion-weighted imaging. Multivariate logistic regression analysis was used to identify the correlation between RLS and infarct pattern. Results:A total of 68 patients with acute cryptogenic stroke were included, 37 of them were male (54.4%), and their age was 47.63±6.57 years (range, 31-59 years). Thirty patients (44.1%) had RLS, including 22 (73.3%) with mild shunt and 8 (26.7%) with severe shunt. The proportions of men, cortical-subcortical infarction and multiple blood supply area lesions in the RLS group were significantly higher than those in the non-RLS group, while triacylglycerol, body mass index, the proportions of patients with subcortical infarction and single lesions in the single vessel blood supply area were significantly lower than those in the non-RLS group ( P<0.05). The proportions of patients with anterior circulation+ posterior circulation infarction, cortical-subcortical infarction, and RLS in the multi-lesion group were significantly higher than those in the single-lesion group, while the proportion of patients with subcortical infarction was significantly lower than that in the single-lesion group (all P<0.05). Multivariate logistic regression analysis showed that RLS was an independent risk factor for multiple infarctions (odds ratio 6.681, 95% confidence interval 1.206-37.019; P=0.030). Conclusion:RLS is independently associated with multiple infarctions in patients with cryptogenic stroke.

Background::In vitro fertilization (IVF) has emerged as a transformative solution for infertility. However, achieving favorable live-birth outcomes remains challenging. Current clinical IVF practices in IVF involve the collection of heterogeneous embryo data through diverse methods, including static images and temporal videos. However, traditional embryo selection methods, primarily reliant on visual inspection of morphology, exhibit variability and are contingent on the experience of practitioners. Therefore, an automated system that can evaluate heterogeneous embryo data to predict the final outcomes of live births is highly desirable. Methods::We employed artificial intelligence (AI) for embryo morphological grading, blastocyst embryo selection, aneuploidy prediction, and final live-birth outcome prediction. We developed and validated the AI models using multitask learning for embryo morphological assessment, including pronucleus type on day 1 and the number of blastomeres, asymmetry, and fragmentation of blastomeres on day 3, using 19,201 embryo photographs from 8271 patients. A neural network was trained on embryo and clinical metadata to identify good-quality embryos for implantation on day 3 or day 5, and predict live-birth outcomes. Additionally, a 3D convolutional neural network was trained on 418 time-lapse videos of preimplantation genetic testing (PGT)-based ploidy outcomes for the prediction of aneuploidy and consequent live-birth outcomes.Results::These two approaches enabled us to automatically assess the implantation potential. By combining embryo and maternal metrics in an ensemble AI model, we evaluated live-birth outcomes in a prospective cohort that achieved higher accuracy than experienced embryologists (46.1% vs. 30.7% on day 3, 55.0% vs. 40.7% on day 5). Our results demonstrate the potential for AI-based selection of embryos based on characteristics beyond the observational abilities of human clinicians (area under the curve: 0.769, 95% confidence interval: 0.709–0.820). These findings could potentially provide a noninvasive, high-throughput, and low-cost screening tool to facilitate embryo selection and achieve better outcomes. Conclusions::Our study underscores the AI model’s ability to provide interpretable evidence for clinicians in assisted reproduction, highlighting its potential as a noninvasive, efficient, and cost-effective tool for improved embryo selection and enhanced IVF outcomes. The convergence of cutting-edge technology and reproductive medicine has opened new avenues for addressing infertility challenges and optimizing IVF success rates.