Construction and validation of a nomogram model to predict symptomatic intracranial hemorrhage after intravenous thrombolysis in severe white matter lesions.

Cerebral white matter lesions (WMLs) increase the risk of bleeding after intravenous thrombolysis (IVT) but are also considered to require IVT. Its risk factors and predictive models are still poorly studied. The aim of this study is to develop a clinically applicable model for post-IVT haemorrhage. It offers the possibility to prevent symptomatic intracranial hemorrhage (sICH) in patients with IVT in severe WMLs. A large single-center observational study conducted a retrospective analysis of IVT in patients with severe WMLs from January 2018 to December 2022. Univariate and multi-factor logistic regression results were used to construct nomogram model, and a series of validations were performed on the model. More than 2,000 patients with IVT were screened for inclusion in this study after cranial magnetic resonance imaging evaluation of 180 patients with severe WMLs, 28 of whom developed sICH. In univariate analysis, history of hypertension (OR 3.505 CI 2.257-4.752, p = 0.049), hyperlipidemia (OR 4.622 CI 3.761- 5.483, p < 0.001), the NIHSS score before IVT (OR 41.250 CI 39.212-43.288, p < 0.001), low-density lipoprotein levels (OR 1.995 CI 1.448-2.543, p = 0.013), cholesterol levels (OR 1.668 CI 1.246-2.090, p = 0.017), platelet count (OR 0.992 CI 0.985-0.999, p = 0.028), systolic blood pressure (OR 1.044 CI 1.022-1.066, p < 0.001), diastolic blood pressure (OR 1.047 CI 1.024-1.070, p < 0.001) were significantly associated with sICH. In a multifactorial analysis, the NIHSS score before IVT (OR 94.743 CI 92.311-97.175, p < 0.001), and diastolic blood pressure (OR 1.051 CI 1.005-1.097, p = 0.033) were considered to be significantly associated with sICH after IVT as risk factors for the occurrence of sICH. The four most significant factors from logistic regression are subsequently fitted to create a predictive model. The accuracy was verified using ROC curves, calibration curves, decision curves, and clinical impact curves, and the model was considered to have high accuracy (AUC 0.932, 95% 0.888-0.976). The NHISS score before IVT and diastolic blood pressure are independent risk factors for sICH after IVT in patients with severe WMLs. The models based on hyperlipidemia, the NIHSS score before IVT, low-density lipoprotein and diastolic blood pressure are highly accurate and can be applied clinically to provide a reliable predictive basis for IVT in patients with severe WMLs.

Transcranial Sonography as a Diagnostic Tool for Depressive Disorders.

BACKGROUND: Transcranial sonography (TCS) is an available and noninvasive neuroimaging method that has been found to reduce the echogenicity of the brainstem raphe (BR) in patients with depression. Applying the criteria of the Diagnostic and Statistical Manual of Mental Disorders-IV (DSM-IV), we performed a meta-analysis of the diagnostic accuracy of TCS. METHODS: A systematic search was conducted in PubMed, EMBASE, The Cochrane Library, and Web of Science. The databases were searched from inception to December 2021. The quality of the included literature was assessed using the QUADAS-2. Heterogeneity analysis was performed. A summary receiver operating characteristic (SROC) curve was generated to evaluate the diagnostic accuracy of TCS. RESULTS: We included 12 studies with 809 patients. The pooled sensitivity was 0.66 (95% confidence interval [CI]: 0.61-0.71), and the specificity was 0.84 (95% CI: 0.80-0.87). The combined positive likelihood ratio (LR) was 3.84 (95% CI: 2.68-5.51), the negative LR was 0.41 (95% CI: 0.29-0.57), and the diagnostic odds ratio (DOR) was 11.45 (95% CI: 5.57-23.02). The area under the curve (AUC) of the plotted SROC curve was 0.86 (95% CI: 0.83-0.89). The meta-regression and subgroup analyses found no source of heterogeneity. CONCLUSION: TCS has high potential and efficacy in diagnosing depression and may be a reasonable test to perform clinically for the assessment of depression.

The Relationship Between Patent Foramen Ovale and Unexplained Dizziness: A Prospective Analysis in China.

Introduction: Patent foramen ovale (PFO) is potentially associated with abnormal embolisms, and it results in mixing of arteriovenous blood when its right-to-left shunt (RLS) emerges. Present studies have found that PFO is a risk factor that can lead to many diseases. However, few studies have examined the relationship between PFO and dizziness. Methods: This study was a large single-center, prospective, controlled study. From March 2019 to March 2021, we recruited patients with dizziness were divided into two groups: "explained" and "unexplained". All patients were submitted to contrast-enhanced transcranial Doppler ultrasound and screened for PFO. Transesophageal heart ultrasound or right heart catheterization was used to confirm PFO. Additionally, multiple factors were collected and statistical analysis was performed between the two groups. Results: Among the 244 patients included, 123 were in the "explained" group and 121 were in the "unexplained" group. The prevalence of PFO in the "explained" group was 34 (27.4%) compared to 79 (64.7%) in the "unexplained" group. In the "explained" group, 7 were RLS level IV, 6 were level III, 7 were level II, and 14 were level I. For the "unexplained" group, the numbers of patients with levels IV, III, II and I were 27, 26, 12 and 14, respectively. Univariate analysis revealed that PFO (χ2= 34.77, P < 0.001) and age (t = -3.49, P < 0.001) seemed to be potential risk factor candidates for "unexplained" dizziness. In multiple regression analysis, age (OR = 0.97; 95% CI 0.95-0.99) and the prevalence of PFO (OR = 4.37; 95% CI 2.50-7.63) were statistically significant. Massively shunted PFO showed more pronounced risk factors (OR = 8.76; 95% CI 4.04-19.03). Conclusion: There was a high prevalence of PFO and a greater RLS level in unexplained dizziness. PFO and age were independent risk factors for unexplained dizziness. When treating with unexplained dizziness, especially among young people, we must pay attention to the presence of PFO.

Factors associated with symptomatic intracranial haemorrhage after intravenous thrombolysis in severe white matter lesions: a retrospective analysis.

BACKGROUND AND PURPOSE: White matter lesions (WMLs) are thought to cause damage to the blood-brain barrier, thereby aggravating bleeding after intravenous thrombolysis. However, the risk factors for symptomatic cerebral haemorrhage after thrombolysis are still unclear. This study explored the risk factors for bleeding in patients with severe WMLs after intravenous thrombolysis to prevent bleeding as soon as possible. METHODS: A large single-centre observational study conducted a retrospective analysis of intravenous thrombolysis in patients with severe WMLs from January 2018 to March 2021. According to whether symptomatic cerebral haemorrhage occurred, the patients were divided into two groups, and then statistical analysis was performed. RESULTS: After a retrospective analysis of the data of nearly 1000 patients with intravenous thrombolysis and excluding invalid information, 146 patients were included, of which 23 (15.8%) patients had symptomatic cerebral haemorrhage. Univariate analysis showed that a history of hypertension (20% vs 4.9%, p=0.024), hyperlipidaemia (38.7% vs 9.6%, p<0.001), the National Institutes of Health Stroke Scale (NIHSS) score before thrombolysis (median 17 vs 6, p<0.001), low-density lipoprotein levels (median 2.98 vs 2.44, p=0.011), cholesterol levels (mean 4.74 vs 4.22, p=0.033), platelet count (median 161 vs 191, p=0.031), platelet distribution width (median 15.2 vs 12.1, p=0.001) and sodium ion levels (median 139.81 vs 138.67, p=0.043) were significantly associated with symptomatic cerebral haemorrhage. Further multivariate logistic regression analysis showed that hyperlipidaemia (OR=9.069; 95% CI 2.57 to 32.07; p=0.001) and the NIHSS score before thrombolysis (OR=1.33; 95% CI 1.16 to 1.52; p<0.001) were comprehensive risk factors for symptomatic cerebral haemorrhage. CONCLUSION: Hyperlipidaemia and the NIHSS score before thrombolysis are independent risk factors for bleeding after intravenous thrombolysis in patients with severe WMLs. Delaying the onset of white matter and preventing risk factors for bleeding will help improve the prognosis of cerebral infarction and reduce mortality. These risk factors need to be further evaluated in future studies.