Cerebrovascular Research Articles

Trajectories and management of vascular risk following the diagnosis of multiple sclerosis: A population-based matched cohort study between 1987 and 2018 in England

Background: People with multiple sclerosis (PwMS) have an increased cardiovascular and cerebrovascular disease burden, but this could be mitigated by vascular risk factor management. Objectives: We compared the trajectories of vascular risk factors, vascular comorbidities and clinical management in PwMS against the general population post-MS diagnosis while controlling for frailty. Methods: Retrospective longitudinal analysis using English data from the Clinical Practice Research Datalink between 1987 and 2018 comprising PwMS matched with up to six controls without MS by age, sex and general practice. Results: We compared 12,251 PwMS with 72,572 matched controls; 3.8% of PwMS had mild–moderate frailty, 1.2% more than matched controls. Compared to controls, PwMS had an elevated incidence of Type 2 diabetes (HR 1.18, 95% CI (1.04, 1.34)), and starting antihypertensive medications (HR 1.40, 95% CI (1.33, 1.47)). Among those with hypertension at baseline, blood pressure trajectories did not differ between PwMS and controls. PwMS had increased rates of meeting targets for hypertension management (HR 1.25, 95% CI (1.12, 1.41)). Conclusion: The observation that PwMS with hypertension are more likely to meet treatment targets than matched controls is encouraging, but the elevated rates of vascular comorbidities suggest that tighter vascular management may be needed in this population.

Artificial intelligence-assisted oculo-gait measurements for cognitive impairment in cerebral small vessel disease.

Oculomotor and gait dysfunctions are closely associated with cognition. However, oculo-gait patterns and their correlation with cognition in cerebral small vessel disease (CSVD) remain unclear. Patients with CSVD from a hospital-based cohort (n = 194) and individuals with presumed early CSVD from a community-based cohort (n = 319) were included. Oculo-gait patterns were measured using the artificial intelligence (AI) -assisted 'EyeKnow' eye-tracking and 'ReadyGo' motor evaluation systems. Multivariable linear and logistic regression models were employed to investigate the association between the oculo-gait parameters and cognition. Anti-saccade accuracy, stride velocity, and swing velocity were significantly associated with cognition in both patients and community dwellers with CSVD, and could identify cognitive impairment in CSVD with moderate accuracy (area under the curve [AUC]: hospital cohort, 0.787; community cohort, 0.810) after adjusting for age and education. The evaluation of oculo-gait features (anti-saccade accuracy, stride velocity, and swing velocity) may help screen cognitive impairment in CSVD. Oculo-gait features (lower anti-saccade accuracy, stride velocity, and swing velocity) were associated with cognitive impairment in cerebral small vessel disease (CSVD). Logistic model integrating the oculo-gait features, age, and education level moderately distinguished cognitive status in CSVD. Artificial intelligence-assisted oculomotor and gait measurements provide quick and accurate evaluation in hospital and community settings.

Diffusion tensor imaging in cerebral small vessel disease applications: opportunities and challenges.

Cerebral small vessel disease (CSVD) is a syndrome of pathology, imaging, and clinical manifestations caused primarily by a variety of functional or structural lesions in the small blood vessels of the brain. CSVD contributes to approximately 45% of dementia and 25% of ischemic strokes worldwide and is one of the most important causes of disability. The disease progresses insidiously, and patients often have no typical symptoms in the early stages, but have an increased risk of stroke, death, and poor long-term prognosis. Therefore, early diagnosis of CSVD is particularly important. Neuroimaging is the most important diagnostic tool used for CSVD. Therefore, it is important to explore the imaging mechanisms of CSVD for its early diagnosis and precise treatment. In this article, we review the principles and analysis methods of DTI, analyze the latest DTI studies on CSVD, clarify the disease-lesion mapping relationships between cerebral white matter (WM) microstructural damage and CSVD, explore the pathogenic mechanisms and preclinical imaging features of CSVD, and summarize the latest research directions of CSVD and research methods to provide a comprehensive and objective imaging basis for the diagnosis and treatment of CSVD.

Construction of vulnerable plaque prediction model based on multimodal vascular ultrasound parameters and clinical risk factors

The rupture of vulnerable plaque (VP) are significant pathogenic factors leading to cardiovascular and cerebrovascular diseases. This study aims to construct a vulnerable plaque prediction model (VPPM) by combining multimodal vascular ultrasound parameters and clinical risk factors, and to validate it. A total of 196 atherosclerotic patients who underwent carotid endarterectomy (CEA) from January 2017 to December 2023 were collected and divided into a modeling group (n = 137) and a validation group (n = 59). Clinical information including: hypertension, diabetes, smoking history, and body mass index (BMI) was included in the analysis. All patients underwent carotid ultrasound and contrast-enhanced ultrasound (CEUS) examination after admission, with main ultrasound parameters including thickness, echogenicity types, stenosis degree, and CEUS neovascularization grading of plaques. Independent risk factors for VP in CEA patients were screened through binary Logistic regression analysis, and a prediction model was established along with a nomogram. The calibration curve, receiver-operating characteristic curve (ROC), and decision curve analysis (DCA) were employed to assess the calibration, diagnostic efficacy, and clinical utility of the VPPM model. There were no significant statistical differences in multimodal vascular ultrasound parameters and clinical risk factors between the modeling and validation groups (P > 0.05). Binary Logistic regression analysis identified plaque thickness, echo type, CEUS neovascularization grading, BMI, and smoking history as 5 variables entering the prediction model. The VPPM model showed good diagnostic efficacy, with an area under the ROC curve of 0.959 (95% CI 0.915–0.999). Using the nomogram with a VPPM risk assessment score of 135.42 as the diagnostic cutoff value in the modeling group, the sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and Youden index were 88.1%, 94.1%, 14.98, 0.126, and 82.2%, respectively. In the DCA curve, the VPPM model curve was significantly better than two extreme lines, indicating good clinical utility. The VPPM model constructed by integrating multimodal ultrasound parameters and clinical key risk factors has high diagnostic efficacy and is expected to be an auxiliary tool for clinical diagnosis of vulnerable plaques.

PEGylation of New Thrombin Inhibitor Peptide Ultravariegin for Prolonged In Vivo Circulation and Enhanced Antithrombotic Effects.

Anticoagulant therapy is commonly used to prevent and treat arterial and venous blood clots in patients with cardiovascular disease, cerebrovascular disease, and cancer. Venous blood clots are the third leading cause of cardiovascular death following acute coronary artery disease and stroke. There is a significant need for effective anticoagulant therapy with minimal risk of bleeding. Variegin and its variants are a new type of antithrombin peptide that has shown promising results in preclinical studies. Variegin and its best variant, ultravariegin (UV), can more effectively inhibit blood clot formation while causing less bleeding than traditional medications such as heparin and bivalirudin. However, the short lifespan of UV remains a limitation for its use in clinical settings. PEGylation, a method of conjugating poly(ethylene glycol) (PEG) chains to peptides or drugs, may help improve the effectiveness of UV by extending its circulation time in the body. In this study, UV was PEGylated using maleimide-PEG5k and 10k. The impact of PEGylation on the antithrombin activity of UV was assessed in vitro and ex vivo in rat and rabbit plasma, showing minimal effects on the efficacy. In vivo studies in rats and rabbits revealed that PEGylated UV had a longer half-life and greater anticoagulant effects than unmodified UV did, especially when it was administered subcutaneously. PEGylation significantly extended the half-life of UV in rabbits, resulting in sustained anticoagulant effects for up to 4 days. This demonstrated that increasing the size of UV and shielding it with PEG could reduce clearance by the kidneys and prolong its circulation time. The improved half-life and antithrombin activity of PEGylated UV make it a more favorable choice for anticoagulant therapy.

Arterial stiffness measured by pulse wave velocity correlated with cognitive decline in hypertensive individuals: a systematic review

BackgroundArterial stiffness is a degenerative modification in the arterial wall that significantly affects normal aging. Arterial hypertension is a major risk factor for cerebrovascular impairment. Pulse wave velocity (PWV) is an established gold standard for measuring arterial stiffness. Studies demonstrated that individuals with elevated blood pressure (BP) and PWV are more likely to experience worse cognitive decline compared to those with either condition alone. The aim of this review is to explore the clinical importance of arterial stiffness for cognitive function in older adults with hypertension.MethodsThe systematic review was reported following the PRISMA 2020 guidelines and Cochrane protocol and was registered in NIHR PROSPERO. PubMed, Embase, Web of Science, CINAHL, and Cochrane databases were searched for relevant publications up to December 2022. Articles were filtered by age and type of study and only those including a sample size of at least 500 individuals were selected. Screening of abstracts and full-text review of selected articles were carried out through Covidence.ResultsThe full-text review included a total of 434 articles. Twenty-eight prospective studies have met the inclusion criteria. Selected studies used PWV as the main measurement of stiffness: 24 used carotid-femoral, 2 used brachial-ankle, 1 used aortic PWV, and 11 compared different measures. Studies demonstrated a strong association between increased BP and PWV with brain damage and cognitive deterioration among older adults. One study did not find an interaction with hypertension, while another study found that PWV but not BP was associated with cognitive decline. Few studies showed that the association between stiffness and cognitive outcomes was not significant after adjustment for BP. Several authors suggested that cognitive decline induced by stiff vasculature and hypertension benefited from antihypertensive therapy.ConclusionThe results of this review demonstrated that arterial hypertension is an important factor linking arterial stiffness to cognitive health in older individuals. BP plays a crucial role in brain integrity, whereas PWV was shown to be a strong measure associated with cognitive decline. Together, they can lead to disabling cognitive outcomes. Early screening of stiffness, BP control, and compliance with treatment are essential for cerebrovascular disease prevention.Trial registrationNIHR PROSPERO registry ID: CRD42022379887.

Current Applications of the Three-Dimensional Printing Technology in Neurosurgery: A Review.

In the recent years, three-dimensional (3D) printing technology has emerged as a transformative tool, particularly in health care, offering unprecedented possibilities in neurosurgery. This review explores the diverse applications of 3D printing in neurosurgery, assessing its impact on precision, customization, surgical planning, and education. A literature review was conducted using PubMed, Web of Science, Embase, and Scopus, identifying 84 relevant articles. These were categorized into spine applications, neurovascular applications, neuro-oncology applications, neuroendoscopy applications, cranioplasty applications, and modulation/stimulation applications. 3D printing applications in spine surgery showcased advancements in guide devices, prosthetics, and neurosurgical planning, with patient-specific models enhancing precision and minimizing complications. Neurovascular applications demonstrated the utility of 3D-printed guide devices in intracranial hemorrhage and enhanced surgical planning for cerebrovascular diseases. Neuro-oncology applications highlighted the role of 3D printing in guide devices for tumor surgery and improved surgical planning through realistic models. Neuroendoscopy applications emphasized the benefits of 3D-printed guide devices, anatomical models, and educational tools. Cranioplasty applications showed promising outcomes in patient-specific implants, addressing biomechanical considerations. The integration of 3D printing into neurosurgery has significantly advanced precision, customization, and surgical planning. Challenges include standardization, material considerations, and ethical issues. Future directions involve integrating artificial intelligence, multimodal imaging fusion, biofabrication, and global collaboration. 3D printing has revolutionized neurosurgery, offering tailored solutions, enhanced surgical planning, and invaluable educational tools. Addressing challenges and exploring future innovations will further solidify the transformative impact of 3D printing in neurosurgical care. This review serves as a comprehensive guide for researchers, clinicians, and policymakers navigating the dynamic landscape of 3D printing in neurosurgery.

Appearance time of blood in the brain as a possible indicator of oxygen extraction fraction: a feasibility study

BackgroundImaging examination of cerebral blood flow (CBF), oxygen extraction fraction (OEF), and metabolic rate of oxygen is crucial for understanding the normal functioning and pathophysiology of the brain. A recently developed method estimates the appearance time of cerebral blood (ATB) pixel-wise from the imaging examination of CBF alone. In this study, we aimed to test the potential of ATB as an indicator of OEF.ResultsWe retrospectively reviewed patients (n = 62) with suspected cerebrovascular disorders including steno-occlusive disease who underwent positron emission tomography (PET) with 15O-labelled tracers. Regarding the generated OEF and ATB images, a visual assessment was performed to test the consistency of the elevated OEF and delayed ATB. The OEF and ATB values and the absolute differences between their ipsilateral and contralateral sides were extracted and obtained for the entire hemisphere and the middle, anterior, and posterior cerebral arterial regions. Consistency was observed in 52 PET scans (83.9%) in visual assessment. The OEF and ATB values were moderately correlated (r = 0.553, p < 0.001), and the differences between their ipsilateral and contralateral sides were weakly correlated (r = 0.276, p < 0.001).ConclusionOur results indicate the potential of ATB as an indicator of OEF.

Oxidative stress alters mitochondrial homeostasis in isolated brain capillaries

BackgroundNeurovascular deficits and blood-brain barrier (BBB) dysfunction are major hallmarks of brain trauma and neurodegenerative diseases. Oxidative stress is a prominent contributor to neurovascular unit (NVU) dysfunction and can propagate BBB disruption. Oxidative damage results in an imbalance of mitochondrial homeostasis, which can further drive functional impairment of brain capillaries. To this end, we developed a method to track mitochondrial-related changes after oxidative stress in the context of neurovascular pathophysiology as a critical endophenotype of neurodegenerative diseases.MethodsTo study brain capillary-specific mitochondrial function and dynamics in response to oxidative stress, we developed an ex vivo model in which we used isolated brain capillaries from transgenic mice that express dendra2 green specifically in mitochondria (mtD2g). Isolated brain capillaries were incubated with 2,2’-azobis-2-methyl-propanimidamide dihydrochloride (AAPH) or hydrogen peroxide (H2O2) to induce oxidative stress through lipid peroxidation. Following the oxidative insult, mitochondrial bioenergetics were measured using the Seahorse XFe96 flux analyzer, and mitochondrial dynamics were measured using confocal microscopy with Imaris software.ResultsWe optimized brain capillary isolation with intact endothelial cell tight-junction and pericyte integrity. Further, we demonstrate consistency of the capillary isolation process and cellular enrichment of the isolated capillaries. Mitochondrial bioenergetics and morphology assessments were optimized in isolated brain capillaries. Finally, we found that oxidative stress significantly decreased mitochondrial respiration and altered mitochondrial morphology in brain capillaries, including mitochondrial volume and count.ConclusionsFollowing ex vivo isolation of brain capillaries, we confirmed the stability of mitochondrial parameters, demonstrating the feasibility of this newly developed platform. We also demonstrated that oxidative stress has profound effects on mitochondrial homeostasis in isolated brain capillaries. This novel method can be used to evaluate pharmacological interventions to target oxidative stress or mitochondrial dysfunction in cerebral small vessel disease and neurovascular pathophysiology as major players in neurodegenerative disease.

Sex Differences in Frequency, Severity, and Distribution of Cerebral Microbleeds

Cerebral small vessel disease (SVD) is associated with various cerebrovascular outcomes, but data on sex differences in SVD are scarce. To investigate whether the frequency, severity, and distribution of cerebral microbleeds (CMB), other SVD markers on magnetic resonance imaging (MRI), and outcomes differ by sex. This cohort study used pooled individual patient data from the Microbleeds International Collaborative Network, including patients from 38 prospective cohort studies in 18 countries between 2000 and 2018, with clinical follow-up of at least 3 months (up to 5 years). Participants included patients with acute ischemic stroke or transient ischemic attack with available brain MRI. Data were analyzed from April to December 2023. Outcomes of interest were presence of CMB, lacunes, and severe white matter hyperintensities determined on MRI. Additionally, mortality, recurrent ischemic stroke, and intracranial hemorrhage during follow-up were assessed. Multivariable random-effects logistic regression models, Cox regression, and competing risk regression models were used to investigate sex differences in individual SVD markers, risk of recurrent cerebrovascular events, and death. A total of 20 314 patients (mean [SD] age, 70.1 [12.7] years; 11 721 [57.7%] male) were included, of whom 5649 (27.8%) had CMB. CMB were more frequent in male patients, and this was consistent throughout different age groups, locations, and in multivariable models (female vs male adjusted odds ratio [aOR], 0.86; 95% CI, 0.80-0.92; P < .001). Female patients had fewer lacunes (aOR, 0.82; 95% CI, 0.74-0.90; P < .001) but a higher prevalence of severe white matter hyperintensities (aOR, 1.10; 95% CI, 1.01-1.20; P = .04) compared with male patients. A total of 2419 patients (11.9%) died during a median (IQR) follow-up of 1.4 (0.7-2.5) years. CMB presence was associated with a higher risk of mortality in female patients (hazard ratio, 1.15; 95% CI, 1.02-1.31), but not male patients (hazard ratio, 0.95; 95% CI, 0.84-1.07) (P for interaction = .01). A total of 1113 patients (5.5%) had recurrent ischemic stroke, and 189 patients (0.9%) had recurrent intracranial hemorrhage, with no sex differences. This cohort study using pooled individual patient data found varying frequencies of individual SVD markers between female and male patients, indicating potential pathophysiological differences in manifestation and severity of SVD. Further research addressing differences in pathomechanisms and outcomes of SVD between female and male patients is required.

Cardiovascular Disease Mortality Among Native Hawaiian and Pacific Islander Adults Aged 35 Years or Older, 2018 to 2022.

Native Hawaiian and Pacific Islander (NHPI) adults have historically been grouped with Asian adults in U.S. mortality surveillance. Starting in 2018, the 1997 race and ethnicity standards from the U.S. Office of Management and Budget were adopted by all states on death certificates, enabling national-level estimates of cardiovascular disease (CVD) mortality for NHPI adults independent of Asian adults. To describe CVD mortality among NHPI adults. Race-stratified age-standardized mortality rates (ASMRs) and rate ratios were calculated using final mortality data from the National Vital Statistics System for 2018 to 2022. Fifty states and the District of Columbia. Adults aged 35 years or older at the time of death. CVD deaths were identified from International Classification of Diseases, 10th Revision codes indicating CVD (I00 to I99) as the underlying cause of death. From 2018 to 2022, 10 870 CVD deaths (72.6% from heart disease; 19.0% from cerebrovascular disease) occurred among NHPI adults. The CVD ASMR for NHPI adults (369.6 deaths per 100 000 persons [95% CI, 362.4 to 376.7]) was 1.5 times higher than for Asian adults (243.9 deaths per 100 000 persons [CI, 242.6 to 245.2]). The CVD ASMR for NHPI adults was the third highest in the country, after Black adults (558.8 deaths per 100 000 persons [CI, 557.4 to 560.3]) and White adults (423.6 deaths per 100 000 persons [CI, 423.2 to 424.1]). Potential misclassification of underlying cause of death or race group. NHPI adults have a high rate of CVD mortality, which was previously masked by aggregation of the NHPI population with the Asian population. The results of this study support the need for continued disaggregation of the NHPI population in public health research and surveillance to identify opportunities for intervention. National Institute of General Medical Sciences, National Institutes of Health.

Non-COVID Admissions to the ICU After COVID Vaccination: A Multicenter Study.

The vaccination drive for COVID-19 was launched in India after the authorization of ChAdOx1 nCov-19 (Covishield), an adenoviral vector vaccine, and BBV152 COVID-19 (Covaxin), an inactivated virus vaccine. As stated by the CDC, vaccine-related adverse events can happen. In this study, we aimed to assess the timing of the COVID vaccination and admission diagnosis and their effect on ICU mortality. The time from vaccination can help identify adverse events directly related to vaccination. Methods: A retrospective cohort study was conducted across four centers in India. Patients who took the first or second dose of any vaccines and were admitted with non-COVID illness to the ICU were included in the study. Patients were categorized based on the time interval from vaccination as ≤42 days or >42 days. The primary outcome was ICU mortality. The secondary outcomes were the length of ICU stay and duration of mechanical ventilation. A total of 175 patients were included in the study. The mean age was 53.49 (15.89) years, and 61.14% were males. The ICU mortality was 24.57% (18.38% to 31.63%). Thromboembolic events such as acute coronary syndrome (ACS), cerebrovascular accident (CVA), and mesenteric ischemia were seen in 7.43%, 7.43%, and 1.14% of patients, respectively. Six patients (3.43%) developed neuromuscular illness. The mortality was higher in patients >66 years, followed by ≤35 years of age when admitted ≤42 days of vaccination (p=0.008). The mortality was higher in cerebrovascular disorders and was clinically significant (p<0.001). Patients developed thromboembolic events and neuromuscular diseases requiring ICU admission post-COVID vaccination. We observed a significantly higher mortality in the age groups >66 years and ≤35 years when admitted within 42 days of COVID vaccination. Patients admitted with cerebrovascular diseases also had higher mortality.

Application of surgical revascularization technique in giant aneurysm of the extracranial internal carotid artery: technical report.

The purpose of this study is to illustrate the diagnostic and therapeutic value and clinical significance of surgical revascularization in giant aneurysms of the extracranial internal carotid artery. The research team screened a group of cases of giant aneurysms of the extracranial internal carotid artery and analyzed the detailed information of the enrolled patients in terms of their basic clinical characteristics, surgical approaches and clinical prognosis. All patients had a good prognosis, except for one patient who was left with only mild facial nerve palsy (grade II facial paralysis). The results demonstrate that surgical revascularization is effective and safe in the treatment of giant aneurysms of the extracranial internal carotid artery. The significant conclusion of this study is to provide an ideal alternative treatment for the treatment of giant aneurysms of the extracranial internal carotid artery. The surgical revascularization technique is a powerful tool for vascular neurosurgeons in the management of complex cerebrovascular diseases when traditional surgical clipping or endovascular interventions encounter bottlenecks.

Acute Cerebellar Infarct in A Patient with Undiagnosed Fahr’s Syndrome: A Case Report

Introduction: Fahr’s disease and Fahr’s syndrome represent clinical entities that result in diffuse intracranial brain calcification, either by way of genetic mutation in the case of the former or by secondary endocrine dysfunction in the latter. Case Report: We present a case of a middle-aged male with undiagnosed Fahr’s syndrome, identified during evaluation for symptoms of an acute posterior circulation cerebrovascular accident. Conclusion: Fahr’s syndrome is a clinical constellation of symptoms and radiographic findings often seen in late-stage hypoparathyroidism. The intracranial calcifications associated may be related to an increased risk for intracranial cerebrovascular disorders such as ischemic or hemorrhagic infarct. Keywords: Fahr’s syndrome; case report; posterior circulation stroke; cerebellar infarct.

Association of novel lipid indices with the white matter hyperintensities in cerebral small vessel disease: a cross-sectional study

BackgroundLipids are associated with atherosclerosis, and novel lipid indices have been recently identified to be closely linked to cardiovascular diseases. This study explored the association between four novel lipid indices and the white matter hyperintensities (WMHs) in patients diagnosed with cerebral small vessel disease (CSVD).MethodsBetween January 2023 and February 2024, 219 patients were recruited, including 165 patients with CSVD WMHs and 54 healthy controls. Based on WMHs severity, patients with CSVD were categorised into mild and moderate-to-severe cohorts using the Fazekas rating scale. The plasma levels of four novel lipid indices (low-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratio [LDL-C/HDL-C], triglyceride/high-density lipoprotein cholesterol ratio [TG/HDL-C], total cholesterol/high-density lipoprotein cholesterol ratio [TC/HDL-C], and non-high-density lipoprotein cholesterol [Non-HDL-C]), were rigorously monitored in the enrolled patients.ResultsA total of 165 patients with CSVD WMHs were enrolled, including 94 with mild WMHs and 71 with moderate-to-severe WMHs. Multivariable logistic regression analysis revealed that LDL-C/HDL-C, TG/HDL-C, TC/HDL-C, and Non-HDL-C levels were significantly associated with WMHs (all P ≤ 0.001). Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic performance of plasma lipid levels for WMHs in patients with CSVD. The novel lipid indicators outperformed traditional lipid indicators in assessing the diagnostic capability of WMHs. The combined index of the four blood lipid indices had an optimal cutoff point (OCP) of 0.489, with 88.3% sensitivity and 60.6% specificity. The area under the curve (AUC) is 0.800 (95% confidence interval [CI], 0.731–0.869; P < 0.001). Compared with males (OR = 1.126, 95% CI = 0.779–1.628), females (OR = 2.484, 95% CI = 1.398–4.414; P for interaction = 0.023) had a higher risk of developing WMHs.ConclusionThis study demonstrates a significant association between four novel lipid indices and the cerebral WMHs in CSVD, highlighting the potential of these markers as novel plasma biomarkers and predictive indicators for assessing CSVD progression and guiding clinical management.

Development and validation of a nomogram-based model to predict combined esophageal injury post-esophagoscopy for esophageal foreign bodies.

The aim of this study is to create and validate a nomogram model for predicting complications of esophageal injury post-esophagoscopy in patients with esophageal foreign bodies (EFB). We examined 303 patients who underwent esophagoscopy from January 2019 to December 2022 at a leading hospital in Anhui, known for its expertise in otorhinolaryngology-head and neck surgery. The patients were split into a modeling group and a validation group in a 7:3 ratio. Logistic regression analysis was employed to determine the risk factors for esophageal injury after undergoing esophagoscopy in patients with EFB. Based on these factors, a nomogram risk prediction model was developed and assessed using a goodness of fit test. Logistic regression analysis revealed that the type of foreign body, failure of gastroscopic retrieval, duration of lodgment, lodgment site, and presence of combined cardiovascular and cerebrovascular diseases were significant (p < 0.05) independent risk factors for esophageal injury following esophagoscopy for EFB. The area under the ROC curve for the training set was 0.850, and the Hosmer-Lemeshow goodness of fit test resulted in a p value of 0.908. For the validation set, the area under the ROC curve was 0.848, and the Hosmer-Lemeshow test gave a p value of 0.665. The calibration curve showed a close alignment between the predicted and observed values. The type of foreign body, duration of lodgment, lodgment site, previous failure of gastroscopic retrieval, and history of combined cardiovascular and cerebrovascular diseases are significant risk factors for esophageal injury following EFB esophagoscopy. This model accurately quantifies the risk of esophageal injury after EFB esophagoscopy.

Can individual functional improvements be predicted in osteoarthritic patients after total knee arthroplasty?

PurposeTotal knee arthroplasty (TKA) is an effective treatment for advanced osteoarthritis, and achieving optimal outcomes can be challenging due to various influencing factors. Previous research has focused on identifying factors that affect postoperative functional outcomes. However, there is a paucity of studies predicting individual postoperative improvement following TKA. Therefore, a quantitative prediction model for individual patient outcomes is necessary.Materials and methodsDemographic data, radiologic variables, intraoperative variables, and physical examination findings were collected from 976 patients undergoing TKA. Preoperative and 1-year postoperative Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores were assessed, and multivariate regression analysis was conducted to identify significant factors influencing one-year WOMAC scores and changes in WOMAC scores. A predictive model was developed on the basis of the findings.ResultsThe predictive accuracy of the model for 1-year WOMAC scores was poor (all adjusted R2 < 0.08), whereas the model for changes in WOMAC scores demonstrated strong predictability (all adjusted R2 > 0.75). Preoperative WOMAC scores, sex, and postoperative knee range of motion significantly affected all pain, stiffness, and physical function aspects of the WOMAC scores (all P < 0.05). Age, cerebrovascular disease, and patellar resurfacing were associated with changes in physical function (all P < 0.05).ConclusionsThe developed quantitative model demonstrated high accuracy in predicting changes in WOMAC scores after TKA. The identified factors influencing postoperative improvement in WOMAC scores can assist in optimizing patient outcomes after TKA.

Enhancing cognitive performance prediction by white matter hyperintensity connectivity assessment.

White matter hyperintensities of presumed vascular origin (WMH) are associated with cognitive impairment and are a key imaging marker in evaluating brain health. However, WMH volume alone does not fully account for the extent of cognitive deficits and the mechanisms linking WMH to these deficits remain unclear. Lesion network mapping (LNM) enables to infer if brain networks are connected to lesions and could be a promising technique for enhancing our understanding of the role of WMH in cognitive disorders. Our study employed LNM to test the following hypotheses: (1) LNM-informed markers surpass WMH volumes in predicting cognitive performance, and (2) WMH contributing to cognitive impairment map to specific brain networks. We analyzed cross-sectional data of 3,485 patients from 10 memory clinic cohorts within the Meta VCI Map Consortium, using harmonized test results in 4 cognitive domains and WMH segmentations. WMH segmentations were registered to a standard space and mapped onto existing normative structural and functional brain connectome data. We employed LNM to quantify WMH connectivity to 480 atlas-based gray and white matter regions of interest (ROI), resulting in ROI-level structural and functional LNM scores. We compared the capacity of total and regional WMH volumes and LNM scores in predicting cognitive function using ridge regression models in a nested cross-validation. LNM scores predicted performance in three cognitive domains (attention/executive function, information processing speed, and verbal memory) significantly better than WMH volumes. LNM scores did not improve prediction for language functions. ROI-level analysis revealed that higher LNM scores, representing greater connectivity to WMH, in gray and white matter regions of the dorsal and ventral attention networks were associated with lower cognitive performance. Measures of WMH-related brain network connectivity significantly improve the prediction of current cognitive performance in memory clinic patients compared to WMH volume as a traditional imaging marker of cerebrovascular disease. This highlights the crucial role of network integrity, particularly in attention-related brain regions, improving our understanding of vascular contributions to cognitive impairment. Moving forward, refining WMH information with connectivity data could contribute to patient-tailored therapeutic interventions and facilitate the identification of subgroups at risk of cognitive disorders.

Pregnancy-related intracranial venous sinus thrombosis secondary to cryptococcal meningoencephalitis: a case report and literature review

BackgroundCerebral venous sinus thrombosis (CVST), a serious cerebrovascular and neurological emergency, is common in pregnant individuals and accounts for approximately 0.5–1.0% of all cerebrovascular diseases. However, CVST with cryptococcal meningoencephalitis in immunocompetent pregnant patients is rare.Case presentationA 30-year-old woman who was 33 weeks pregnant presented with recurrent dizziness, headache, and vomiting as the main clinical manifestations, all of which were initially nonspecific. After assessment of the cerebrospinal fluid, skull computerized tomography, magnetic resonance imaging, and other laboratory and imaging examinations, the patient was diagnosed with secondary pregnancy-related CVST with cryptococcal meningoencephalitis. Despite receiving potent anticoagulant and antifungal treatment, the patient’s condition deteriorated, and the patient’s family opted to cease treatment.ConclusionsWe present a rare case of CVST with cryptococcal meningoencephalitis in an immunocompetent pregnant patient. The difficulty of diagnosing and treating secondary pregnancy-related CVST caused by cryptococcal meningoencephalitis, as well as the great challenges faced at present are highlighted. One crucial lesson from the present case is that when clinical and imaging signs are unusual for CVST during pregnancy, it is essential to account for the possibility of other central nervous system (CNS) diseases, such as CNS infections with Cryptococcus, which may cause CVST.

Glucagon and glucagon-like peptide-1 dual agonist therapy: A possible future towards fatty kidney disease.

Obesity is a growing epidemic affecting approximately 40% of the adult population in developed countries with major health consequences and comorbidities, including diabetes mellitus and insulin resistance, metabolically associated fatty liver disease, atherosclerotic cardiovascular and cerebrovascular diseases and chronic kidney disease. Pharmacotherapies targeting significant weight reduction may have beneficial effects on such comorbidities, though such therapeutic options are highly limited. In this narrative review, we aim to evaluate current knowledge regarding dual agonist therapies and potential implications for managing fatty kidney and chronic kidney disease. Glucagon-like peptide-1 agonists and sodium-glucose cotransporter-2 inhibitors are two novel classes of glucose-lowering medications with potential implications and beneficiary effects on renal outcomes, including estimated glomerular filtration rate, albuminuria and chronic kidney disease progression. Recently, dual agonist therapies targeting glucagon-like peptide-1 and glucagon receptors, namely survodutide and cotadutide, have been evaluated in managing metabolically associated fatty liver disease, a well-established example of visceral obesity. Fatty kidney is another novel concept implicated in the pathophysiology of chronic kidney disease among patients with visceral obesity.