Nomogram established on account of Lasso-logistic regression for predicting hemorrhagic transformation in patients with acute ischemic stroke after endovascular thrombectomy.

BACKGROUND: Hemorrhagic transformation (HT) is a common and serious complication in patients with acute ischemic stroke (AIS) after endovascular thrombectomy (EVT). This study was performed to determine the predictive factors associated with HT in stroke patients with EVT and to establish and validate a nomogram that combines with independent predictors to predict the probability of HT after EVT in patients with AIS. METHODS: All patients were randomly divided into development and validation cohorts at a ratio of 7:3. The least absolute shrinkage and selection operator (LASSO) regression was used to select the optimal factors, and multivariate logistic regression analysis was used to build a clinical prediction model. Calibration plots, decision curve analysis (DCA) and receiver operating characteristic curve (ROC) were generated to assess predictive performance. RESULTS: LASSO regression analysis showed that Alberta Stroke Program Early CT Scores (ASPECTS), international normalized ratio (INR), uric acid (UA), neutrophils (NEU) were the influencing factors for AIS with HT after EVT. A novel prognostic nomogram model was established to predict the possibility of HT with AIS after EVT. The calibration curve showed that the model had good consistency. The results of ROC analysis showed that the AUC of the prediction model established in this study for predicting HT was 0.797 in the development cohort and 0.786 in the validation cohort. CONCLUSION: This study proposes a novel and practical nomogram based on ASPECTS, INR, UA, NEU, which can well predict the probability of HT after EVT in patients with AIS.

Renal function affects the safety and efficacy of tirofiban in acute ischemic stroke thrombectomy patients.

BACKGROUND: Acute ischemic stroke poses a significant health threat, and thrombectomy has become a routine treatment. Tirofiban has emerged as a promising adjunct therapy to minimize reocclusion after thrombectomy. We aimed to investigate whether renal function influences the safety and efficacy of tirofiban in patients undergoing endovascular therapy. METHODS: Patients' clinical data collected from the stroke unit were analyzed. The modified Rankin scale score and symptomatic intracranial hemorrhage (sICH) were used as outcome measures. RESULTS: A total of 409 patients (mean age: 66.5 years, 292 males [71.4%]) were included. Tirofiban significantly improved 3-month functional outcomes (adjusted odds ratio [aOR] = 2.408, 95% confidence interval [CI] 1.120-5.175), reduced 3-month mortality (aOR = 0.364, 95% CI 0.155-0.856), and decreased the incidence of sICH (aOR = 0.339, 95% CI 0.149-0.767) in patients with estimated glomerular filtration rate (eGFR) ≥ 90 mL/min/1.73 m². However, no significant improvement in prognosis was observed with tirofiban in patients with eGFR < 90 mL/min/1.73 m². Interaction analysis suggested a potential influence of renal function on tirofiban efficacy. CONCLUSION: Renal function may impact the efficacy of tirofiban. Administration of tirofiban in direct thrombectomy patients with normal renal function is safe and improves prognosis. However, the prognostic benefits of tirofiban are limited in patients with impaired renal function.

Altered functional connectivity in patients with post-stroke fatigue: A resting-state fMRI study.

BACKGROUND: Post-stroke fatigue (PSF) was a common complication after stroke. This study aimed to explore the neuroimaging mechanism of PSF, which was rarely studied. METHODS: Patients with the first episode of ischemic stroke were recruited from the First Affiliated Hospital of Wenzhou Medical University between March 2021 and December 2022. The fatigue severity scale (FSS) was used to assess fatigue symptoms. PSF was diagnosed by a neurologist based on the FSS score and PSF diagnostic criteria. All the patients were scanned by resting-state functional MRI (rs-fMRI). Precuneus, the posterior node of default-mode network (pDMN), was related to fatigue. Therefore, imaging data were further analyzed by the seed-based resting-state functional connectivity (FC) approach, with the left (PCUN.L) and right precuneus (PCUN.R) being the seeds. RESULTS: A total of 70 patients with acute ischemic stroke were finally recruited, comprising 40 patients with PSF and 30 patients without PSF. Both the PCUN.L and PCUN.R seeds (pDMN) exhibited decreased FC with the prefrontal lobes located at the anterior part of DMN (aDMN), and the FC values were negatively correlated with FSS scores (both p < 0.001). These two seeds also exhibited increased FC with the right insula, and the FC values were positively correlated with FSS scores (both p < 0.05). CONCLUSION: The abnormal FC between the aDMN and pDMN was associated with PSF. Besides, the insula, related to interoception, might also play an important role in PSF.

Gait Domains May Be Used as an Auxiliary Diagnostic Index for Alzheimer's Disease.

BACKGROUND: Alzheimer's disease (AD) is a progressive neurodegenerative disorder with cognitive dysfunction and behavioral impairment. We aimed to use principal components factor analysis to explore the association between gait domains and AD under single and dual-task gait assessments. METHODS: A total of 41 AD participants and 41 healthy control (HC) participants were enrolled in our study. Gait parameters were measured using the JiBuEn® gait analysis system. The principal component method was used to conduct an orthogonal maximum variance rotation factor analysis of quantitative gait parameters. Multiple logistic regression was used to adjust for potential confounding or risk factors. RESULTS: Based on the factor analysis, three domains of gait performance were identified both in the free walk and counting backward assessments: "rhythm" domain, "pace" domain and "variability" domain. Compared with HC, we found that the pace factor was independently associated with AD in two gait assessments; the variability factor was independently associated with AD only in the counting backwards assessment; and a statistical difference still remained after adjusting for age, sex and education levels. CONCLUSIONS: Our findings indicate that gait domains may be used as an auxiliary diagnostic index for Alzheimer's disease.

High total bilirubin-to-uric acid ratio predicts poor sleep quality after acute ischemic stroke: a prospective nested case-control study.

BACKGROUND: Sleep disorders are prevalent after stroke, resulting in high recurrence rates and mortality. But the biomarkers of sleep disorders in stroke patients remain to be elucidated. This study aimed to explore the relationship between total bilirubin-to-uric acid ratio (TUR) and sleep quality after acute ischemic stroke (AIS). METHODS: Three hundred twenty-six AIS patients were recruited and followed up 1 month after stroke in our study. Serum total bilirubin and uric acid levels were obtained within 24 h after admission. The Pittsburgh Sleep Quality Index (PSQI) was used to evaluate sleep quality 1 month after stroke. We conducted receiver operating characteristic (ROC) curve analysis and screened the optimal biomarker to differentiate sleep disorders after stroke. Then the TUR was stratified according to the best cut-off value (0.036) of the ROC and further analysed by binary logistic regression analysis. Additionally, the interaction was used to explore the difference in its effect on post-stroke sleep quality in different subgroups. RESULTS: Three hundred thirty-one patients (40.2%) were considered as having poor sleep quality during the one-month follow-up. Compared to patients with good sleep, patients with poor sleep were more likely to have higher TUR (IQR), 0.05 (0.03-0.06) versus 0.03 (0.02-0.04), P < 0.001. After adjusting for confounding factors, binary regression analysis demonstrated that a high TUR (≥0.036) was independently related to post-stroke poor sleep quality (OR = 3.75, 95% CI = 2.02-6.96, P < 0.001). CONCLUSIONS: High TUR is associated with an increased risk of poor sleep quality in AIS patients, especially in females, diabetics, and patients with hyperlipidaemia.

Improving Blood Monocyte Energy Metabolism Enhances Its Ability to Phagocytose Amyloid-ß and Prevents Alzheimer's Disease-Type Pathology and Cognitive Deficits.

Deficiencies in the clearance of peripheral amyloid ß (Aß) play a crucial role in the progression of Alzheimer's disease (AD). Previous studies have shown that the ability of blood monocytes to phagocytose Aß is decreased in AD. However, the exact mechanism of Aß clearance dysfunction in AD monocytes remains unclear. In the present study, we found that blood monocytes in AD mice exhibited decreases in energy metabolism, which was accompanied by cellular senescence, a senescence-associated secretory phenotype, and dysfunctional phagocytosis of Aß. Improving energy metabolism rejuvenated monocytes and enhanced their ability to phagocytose Aß in vivo and in vitro. Moreover, enhancing blood monocyte Aß phagocytosis by improving energy metabolism alleviated brain Aß deposition and neuroinflammation and eventually improved cognitive function in AD mice. This study reveals a new mechanism of impaired Aß phagocytosis in monocytes and provides evidence that restoring their energy metabolism may be a novel therapeutic strategy for AD.

Optimal time point for neutrophil-to-lymphocyte ratio to predict stroke-associated pneumonia.

PURPOSE: This study aimed at the population receiving thrombolytic therapy and to explore the optimal time point for neutrophil-to-lymphocyte ratio (NLR) in predicting stroke-associated pneumonia (SAP). METHODS: We assessed patients undergoing intravenous thrombolysis (IVT) for acute ischemic stroke. Blood parameters were sampled before thrombolysis (within 30 min after admission) and within 24-36 h after thrombolysis, respectively. The primary outcome measure was the occurrence of SAP. Multivariate logistic regression analysis was performed to analyze the association between admission blood parameters and the event of SAP. We also used receiver operating characteristic (ROC) curve analysis to assess the discriminative ability of blood parameters measured at different times in predicting SAP. RESULTS: Among the 388 patients, SAP occurred in 60 (15%) patients. Multivariate logistic regression analysis showed that NLR was significantly associated with SAP (NLR before IVT: aOR = 1.288; 95%CI = 1.123-1.476; p < 0.001; NLR after IVT: (aOR = 1.127, 95%CI = 1.017-1.249; p = 0.023). The ROC curve showed that the predictive ability of NLR after IVT was better than NLR before IVT, not only in predicting the occurrence of SAP but also in predicting short-term and long-term functional outcomes, hemorrhagic transformation, and 1-year mortality. CONCLUSION: Increased NLR measured within 24-36 h after IVT has a significant predictive effect on the occurrence of SAP and can be used to predict short-term and long-term poor functional outcomes, hemorrhagic transformation, and 1-year mortality.

Roles of Bilirubin in Hemorrhagic Transformation of Different Types and Severity.

BACKGROUND: Hemorrhagic transformation (HT) is a severe complication in patients with acute ischemic stroke (AIS). This study was performed to explore and validate the relation between bilirubin levels and spontaneous HT (sHT) and HT after mechanical thrombectomy (tHT). METHODS: The study population consisted of 408 consecutive AIS patients with HT and age- and sex-matched patients without HT. All patients were divided into quartiles according to total bilirubin (TBIL) level. HT was classified as hemorrhagic infarction (HI) and parenchymal hematoma (PH) based on radiographic data. RESULTS: In this study, the baseline TBIL levels were significantly higher in the HT than non-HT patients in both cohorts (p < 0.001). Furthermore, the severity of HT increased with increasing TBIL levels (p < 0.001) in sHT and tHT cohorts. The highest quartile of TBIL was associated with HT in sHT and tHT cohorts (sHT cohort: OR = 3.924 (2.051-7.505), p < 0.001; tHT cohort: OR = 3.557 (1.662-7.611), p = 0.006). CONCLUSIONS: Our results suggest that an increased TBIL is associated with a high risk of patients with sHT and tHT, and that TBIL is more suitable as a predictor for sHT than tHT. These findings may help to identify patients susceptible to different types and severity of HT.

Predictors of functional dependence at one year in acute ischemic stroke with large vessel occlusion.

BACKGROUND: In China, the current status of clinical treatment of eLVO and the factors affecting its long-term prognosis are unclear. OBJECTIVE: This study aims to explore the predictive factors of functional outcomes at one year in patients of acute ischemic stroke with emergent large vessel occlusion (eLVO). METHODS: We retrospectively collected 536 patients who underwent treatments for eLVO. Primary outcomes included one-year functional outcomes and delayed functional independence (DFI). The logistic regression was performed to predict the primary outcome. RESULTS: 431 (85%) survivors participated in the one-year follow-up. In the multivariate logistic analysis adjusted for baseline characteristics, the following factors were found to be significant predictors of functional dependence at one year: old age (aOR = 1.042, 95% CI=1.01-1.076, p = 0.011), low Alberta stroke program early CT score (ASPECTS) (aOR = 0.791, 95% CI=0.671-0.933, p = 0.005), unsuccessful reperfusion (aOR = 0.168, 95% CI=0.048-0.586, p = 0.005), poor medication compliance (aOR = 0.022, 95% CI=0.007-0.072, p < 0.001), and complicated with stroke-associated pneumonia (SAP) (aOR = 2.269, 95% CI=1.103-4.670, p = 0.026). We also found that men (aOR = 3.947, 95% CI=1.15-13.549, p = 0.029) had better medication adherence (aOR = 14.077, 95% CI=1.736-114.157, p = 0.013), and going to rehabilitation centers (aOR = 5.197, 95% CI=1.474-18.327, p = 0.010) were independent predictors of DFI. CONCLUSION: The significant predictors of functional dependence at one year were: old age, low ASPECTS, unsuccessful reperfusion, poor medication adherence, and combination with SAP. Men, good medication adherence, and going to rehabilitation centers contributed to getting delayed functional independence.

Association Between the Serum Iron and Acute Cognitive Impairment After Stroke: A Cross-Sectional Study.

BACKGROUND: Complications such as cognitive impairment are common in stroke victims. The goal of this study was to see if there was a link between blood iron levels and post-stroke cognitive impairment (PSCI) within 2 weeks after stroke. METHODS: A total of 313 patients with ischemic stroke were recruited and separated into two groups: PSCI (n = 202) and non-PSCI (n = 111). The Mini-mental state examination scale was used to evaluate the cognitive status within 2 weeks after stroke (acute phase). The serum iron levels were divided into 4 layers: Q1 ≤ 11.7 µmol/L, Q2 11.8-15.1 µmol/, Q3 15.2-19.3 µmol/L, Q4 ≥ 19.4 µmol/L, respectively. The connection between serum iron and PSCI was then investigated further using binary logistic regression, which was adjusted for confounders. RESULTS: The difference in serum iron levels between the PSCI and non-PSCI group was initially conducted by the Mann-Whitney test, and a significant difference was found (14.5 (11.0-17.8) vs. 16.9 (13.7-21.8), p < .001), with no confounders being adjusted. After adjusting for confounding factors, the binary regression analysis showed that the Q4 layer showed the lowest risk of PSCI, with the Q1 layer being the reference. (odds ratio (OR) = 0.297, 95% confidence interval (CI) = 0.136-0.649, p = 0.002). CONCLUSION: A decreased risk of early-onset PSCI was linked to high serum iron levels. Low serum iron levels were found to be a risk factor for acute cognitive impairment following stroke, which could help physicians identify and take intervention measures early to reduce the risk of cognitive impairment after stroke.

The HALP (hemoglobin, albumin, lymphocyte, and platelet) score is associated with early-onset post-stroke cognitive impairment.

BACKGROUND: The HALP score (hemoglobin, albumin, lymphocyte, and platelet) is a novel indicator that measures systemic inflammation and nutritional status. The goal of this study was to look into the relationship between the HALP score and post-stroke cognitive impairment (PSCI) in people who had an acute ischemic stroke (AIS). METHODS: A total of 592 individuals with ischemic stroke were included in the research, and the PSCI (n = 382) and non-PSCI (n = 210) groups were determined using the Mini-Mental State Examination scale 2 weeks following the stroke. HALP score was computed by the formula: hemoglobin (g/L) × albumin (g/L) × lymphocytes (/L) / platelets (/L), and was split into three layers according to the tertiles. The connection between the HALP and cognitive results was investigated by binary logistic regression. RESULTS: The PSCI group's HALP score was much lower than the non-PSCI group's (p < 0.001). The HALP score was divided into three layers: T1 ≤ 34.0, T2 34.1-49.4, and T3 ≥ 49.5, respectively. In the binary regression analysis, taking the T3 layer as the reference, the T1 layer showed the highest risk of PSCI after adjusting for confounding factors (odds ratio (OR) = 1.965, 95% confidence interval (CI) = 1.237-3.122, p = 0.004), while there was no increased risk of PSCI in the T2 layer (OR = 1.538, 95%CI = 0.983-2.404, p = 0.059). CONCLUSION: Low HALP score at admission was found to be correlated with early-onset PSCI and may help clinicians in the early identification of high-risk patients.

Risk factors for rapid eye-movement sleep-related behavioral disorders (RBDs): A systematic review and a meta-analysis.

OBJECTIVE: The present study aimed to systematically analyze the risk factors for RBD. METHODS: A systematic review and meta-analysis of case-control studies, cohort studies, and cross-sectional studies derived from the articles published in eight electronic databases before December 1, 2021. The primary outcome was the odds ratio (OR) and 95% confidence interval (95% CI), and heterogeneity was quantified using I2. Subgroup analyses and meta-regression were used to explore sources of heterogeneity. Egger's test and sensitivity analysis were performed. The PROSPERO ID number of the present study is CRD42021293942. RESULTS: We identified 26 studies (44,230 subjects) among 2022 citations, and 13 factors were considered. Male sex (OR = 1.36, 95% CI = 1.13-1.64), smoking (OR = 1.37, 95% CI: 1.26-1.50), depression (OR = 2.06, 95% CI = 1.66-2.56), antidepressant use (OR = 2.36, 95% CI = 1.98-2.82), duration of neuropsychiatric disorders(OR = 1.43, 95% CI = 1.13-1.73), levodopa equivalent daily dose (LEDD, OR = 60.15, 95% CI = 23.95-96.35) and observable motor dysfunction (OR = 2.43, 95% CI = 0.65-4.22) were associated with a higher risk of RBD. Tertiary education and above (OR = 0.58, 95% CI = 0.35-0.96) was associated with a lower RBD risk. Men (OR = 1.40, 95% CI: 1.10-1.78, I2 = 0%, P = 0.005) and older individual (OR = 2.73, 95% CI: 1.03-4.43, I2 = 60%, P = 0.002) were more likely to have iRBD. CONCLUSION: Six modifiable risk factors and one protective factor were associated with RBD. Further research is required to understand the mechanisms and to develop preventative strategies.

Lactate dehydrogenase-to albumin ratio (LAR) is associated with early-onset cognitive impairment after acute ischemic stroke.

BACKGROUND: Post-stroke cognitive impairment (PSCI) is the most prevalent complication of acute ischemic stroke(AIS) in individuals. The lactate dehydrogenase-to albumin ratio (LAR) is a novel indicator that measures systemic inflammation and nutritional status. The purpose of this research was to investigate the connection between the LAR and PSCI. METHODS: Following inclusion criteria, this study recruited 701 AIS patients who were segmented into the PSCI (n = 441) and non-PSCI (n = 260) groups according to the Mini-Mental State Examination (MMSE) within 2 weeks after stroke. The lactate dehydrogenase and albumin levels were measured within 24 h after hospitalization. A binary logistic regression was constructed to examine the association between LAR and PSCI with the LAR divided into tertiles. RESULTS: The PSCI group showed a higher level of LAR in comparison to the non-PSCI group (p < 0.001). Compared with T1 (≦4.93), patients in the highest quartile of LAR (≧5.93) had a greater risk of PSCI after controlling for confounding factors, as demonstrated by logistic regression (odds ratio (OR) = 2.003, 95 % confidence interval (CI) = 1.305-3.074, P = 0.001). CONCLUSION: Higher LAR is independently related to the development of cognitive impairment in the early phase after stroke, which may help physicians in the early identification of patients with PSCI.

High fibrinogen to albumin ratio is associated with hematoma enlargement in spontaneous intracerebral hemorrhage.

BACKGROUND: We investigate whether fibrinogen to albumin ratio could predict hematoma enlargement in patients suffered with spontaneous intracerebral hemorrhage. MATERIALS AND METHODS: A total of 149 patients met the entry criteria and received 1-month follow-up after discharge were divided into tertiles based on fibrinogen to albumin ratio levels (Tertile 1 [<8.06], Tertile 2 [8.06-10.33], Tertile 3 [>10.33]). Univariate analysis and binary logistic regression analysis was performed to explore the relationship between fibrinogen to albumin ratio and hematoma enlargement occurrence. RESULTS: There was a significant difference in fibrinogen to albumin ratio between hematoma enlargement group and non-hematoma enlargement group (10.11 (8.37-11.73) vs 8.81 (7.61-10.39), p = .017). In binary logistic regression analysis, the highest tertile (>10.33) was independently related to hematoma enlargement (OR = 3.152, 95% CI = 1.326-7.493, p = .009). CONCLUSION: Fibrinogen to albumin ratio on admission might be an independent predictor of hematoma enlargement after intracerebral hemorrhage.

Reduced serum vitamin D levels are associated with poor sleep quality in early stroke patients.

Background: Poor sleep quality and vitamin D deficiency are common in stroke patients. Our aim was to evaluate the possible association between vitamin D and sleep quality in acute ischemic stroke (AIS) patients. Methods: A total of 301 AIS patients were screened and completed 1-month follow-up. Serum 25-hydroxyvitamin D [25(OH)D] was used to assess the vitamin D status by a competitive protein-binding assay at baseline. All patients were divided into equal quartile according to the distribution of 25(OH)D. One month after stroke, sleep quality was evaluated by using Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS) questionnaire; depression status was confirmed by 17-item Hamilton Depression Scale (HAMD). Results: There were 89 (29.6%) AIS patients with poor sleep quality 1-month post-event. Within 24 h after admission, serum 25(OH)D levels were significantly lower in patients with poor sleep quality after stroke (P < 0.001). In the results of multivariate-adjusted logistic regression analysis, the odds ratio (OR) of poor sleep quality was 6.199 (95% CI, 2.066-18.600) for the lowest quartile of 25(OH)D compared with the highest quartile. In patients without depression, reduced 25(OH)D were still significantly associated with poor sleep quality (OR = 8.174, 95% CI = 2.432-27.473). Furthermore, 25(OH)D and HAMD score were combined to enhance the diagnostic accuracy of poor sleep quality, with the area under the receiver operating characteristic curve of 0.775. Conclusion: Reduced serum levels of vitamin D at admission were independently and significantly associated with poor sleep quality at 1 month after stroke. Our findings suggested the combination of vitamin D and depression status could provide important predictive information for post-stroke sleep quality.

Low triiodothyronine syndrome is associated with stroke-associated pneumonia.

OBJECTIVE: Stroke-associated pneumonia (SAP) is the most common early consequence in patients suffering from an acute ischaemic stroke (AIS). The purpose of this study was to explore the possible relationship between low triiodothyronine (T3) syndrome and SAP in stroke patients. METHODS: This study recruited 2460 consecutive AIS patients. SAP was defined according to the modified Centers for Disease Control and Prevention criteria for hospital-acquired pneumonia. The thyroid hormones levels were measured within 24 h after admission. Low T3 syndrome was characterized as T3 below the lower limit of the reference interval accompanied by normal TSH levels. RESULTS: Among the total patients, 336 (13.7%) patients were diagnosed with SAP. SAP in individuals with low T3 syndrome was substantially greater (p < .001) as compared to those without low T3 syndrome. After adjusting for possible confounders, low T3 syndrome (adjusted odds ratio [aOR] = 1.59; 95% confidence interval [CI], 1.20-2.09; p = .001) remained significant in our logistic model. Patients with low T3 syndrome had a higher risk of severe SAP (aOR = 2.17, 95% confidence interval [CI] 1.38-3.44; p = .001). CONCLUSION: Low T3 syndrome, independent of recognized risk factors, is a possible risk factor for in-hospital SAP, which can help clinicians in the early detection and treatment of high-risk patients.

A Longitudinal Research on the Distribution and Prognosis of Intracerebral Hemorrhage During the COVID-19 Pandemic.

Purpose: Globally, intracerebral hemorrhage (ICH) is a common cerebrovascular disease. At the beginning of 2020, due to the coronavirus disease 2019 (COVID-19) pandemic, the allocation of medical resources and the patient treatment and referrals were affected to varying degrees. We aimed to determine the characteristics and prognoses and associated factors of patients with ICH. Patients and Methods: The baseline demographic characteristics and ICH outcomes were compared between patients diagnosed with ICH between January and June 2020 (the 2020 group) and between January and June 2019 (the 2019 group). COVID-19 positive patients were excluded from the study. A 30-day data from patients in the 2019 and 2020 groups were analyzed to create survival curves for these patients. We also used regression models to identify the significant determinants of poor outcomes [modified Rankin score (mRS): 3-6] and death. Results: The number of patients diagnosed with ICH was slightly lower in the 2020 group (n = 707) than in the 2019 group (n = 719). During the lockdown period (February 2020), the admission rates for ICH decreased greatly by 35.1%. The distribution of the patients' domicile (P = 0.002) and the mRS (P < 0.001) differed significantly between the years. The survival curve revealed that the highest risk of death was in the acute stage (especially in the first 5 days) of ICH. At 30 days, mortality was 19.8% in February 2019 and 29.4% in February 2020 (P = 0.119). Multivariate analysis revealed age, baseline mRS, postoperative complications, massive brainstem hemorrhage, and creatinine as factors significantly associated with poor outcomes and death following ICH. Neurosurgery and massive supratentorial hemorrhage were only correlated with the risk of death. Conclusion: During the lockdown period, the COVID-19 pandemic caused a decrease in the admission rates and severe conditions at admission due to strict traffic constraints for infection control. This led to high mortality and disability in patients with ICH. It is necessary to ensure an effective green channel and allocate adequate medical resources for patients to receive timely treatment and neurosurgery.

Serum Uric Acid Levels at Admission Could Predict the Chronic Post-stroke Fatigue.

Background: Post-stroke fatigue (PSF) is a frequent complication of stroke. Serum uric acid (SUA) is frequently thought to be a risk factor for stroke. This study aimed to investigate whether SUA also played a role in PSF. Methods: Subjects with ischemic stroke were screened from The First Affiliated Hospital of Wenzhou Medical University between January 2020 and October 2020. Patients' fatigue symptoms were assessed by the Fatigue severity scale (FSS). To investigate the relationship between SUA and PSF, binary logistic regression analysis was conducted, with the confounders being controlled. SUA levels were divided into four layers (Q1 ≤ 245 µmol/L; Q2 246-308 µmol/L; Q3 309-365 µmol/L; Q4 ≥366 µmol/L) based on the quartiles. Results: SUA levels were significantly higher in the PSF group (345.96 ± 73.78 µmol/L) than the non-PSF group (295.97 ± 87.8 µmol/L, P < 0.001). There were no differences in any other variables between these two groups. After adjusting the confounders, the risk of PSF in the Q4 layer (≥366 µmol/L) was 6.05 times (95% CI 1.79-20.43, P = 0.004) higher than that in Q1 (≤245 µmol/L). Conclusion: High SUA at admission was an independent risk factor for fatigue 1 year after stroke onset. High SUA (≥366 µmol/L) during stroke deserves more attention, and active control of high SUA levels may be beneficial to reduce the incidence of PSF in the chronic stage following stroke.

The relationship between serum levels of S-100ß and anxiety symptoms in patients with acute stroke.

BACKGROUND: Post-stroke anxiety (PSA) is a common neuropsychiatric affective disorder occurring after a stroke. Animal experiments have indicated that serum S-100ß levels are closely related to anxiety disorder. No clinical study has been done to explore the relationship between serum S-100ß levels and anxiety symptoms in patients with acute stroke. The aim of our study was to investigate the association between serum S-100ß levels and PSA. METHODS: One hundred twenty-six acute stroke patients were recruited and followed up for 1 month. Blood samples were collected within 24 h after admission. The levels of serum S-100ß were measured by enzyme-linked immunosorbent assays. Patients with significant clinical symptoms of anxiety and a Hamilton Anxiety Rating Scale score >7 at 1 month after stroke were diagnosed as PSA. RESULTS: Serum S-100ß levels in the non-PSA group were lower than the PSA group (838.97 (678.20-993.59) ng/L vs. 961.87 (796.09-1479.59) ng/L, Z = -2.661, P = 0.008). In multivariate analyses, we found that decreased risk of PSA was associated with low tertile serum S-100ß levels (≤753.8 ng/L, OR 0.062, 95% CI 0.008-0.475, P = 0.007). CONCLUSIONS: Low serum S-100ß levels at admission may be associated with the decreased risk of PSA.

Low serum transthyretin levels predict stroke-associated pneumonia.

BACKGROUND AND AIMS: Stroke-associated pneumonia (SAP) is commonly seen in ischemic stroke patients. Low transthyretin levels are found to be correlated with stroke. This study aims to investigate the potential relationship between transthyretin levels and SAP. METHODS AND RESULTS: In total, 920 patients were involved in our study. Serum transthyretin levels were measured within 24 h at admission. We defined SAP according to the modified Centers for Disease Control criteria. In the study population, 123 (13.4%, 77 men, 46 women) were diagnosed with SAP. In the multivariable analysis, we found that serum transthyretin levels were significantly lower in SAP compared with non-SAP patients (231 ± 80 vs. 279 ± 75; P < 0.001) after adjusting for confounders. Meanwhile, we discovered that low transthyretin levels (≤252 mg/L) were independently associated with the development of SAP (OR 3.370; 95% CI: 1.763-6.441; P < 0.001). Moreover, patients with SAP had a worse clinical outcome than those without SAP at discharge. In addition, dysphagia, leukocyte count and NLR (neutrophil-to-lymphocyte ratio) were also found to be associated with SAP. CONCLUSION: We found that low transthyretin levels significantly increased the risk of SAP. Patients with high risk of developing SAP could be early identified and prevented timely.