Synergistic action of Hedyotis diffusa Willd and Andrographis paniculata in Nasopharyngeal Carcinoma: Downregulating AKT1 and upregulating VEGFA to curb tumorigenesis.

OBJECTIVE: Nasopharyngeal carcinoma (NPC) remains a challenging cancer to treat. This study investigates the molecular mechanisms of Hedyotis diffusa Willd (HDW) combined with Andrographis paniculata (AP) in treating NPC. METHODS: Key compounds and target genes in HDW and AP were analyzed using network pharmacology. Protein-protein interaction (PPI) networks were constructed with STRING and visualized using Cytoscape. MCODE identified critical clusters, while DAVID facilitated GO and KEGG analyses. In vivo and in vitro experiments evaluated HDW-AP effects on NPC, including tumor volume, weight, Ki-67 expression, cell apoptosis, migration, invasion, cell cycle distribution, and DNA damage. RESULTS: The database identified 495 NPC-related genes and 26 compounds in the HDW-AP pair, targeting 165 genes. Fifty-eight potential therapeutic genes were found, leading to 18 key targets. KEGG analysis revealed a significant impact on 78 pathways, especially cancer pathways. Both in vivo and in vitro tests showed HDW-AP inhibited NPC cell proliferation, migration, invasion, and induced apoptosis. Mechanistically, this was achieved through AKT1 downregulation and VEGFA upregulation. CONCLUSION: The combination of HDW and AP targets 16 key genes to impede the development of NPC, primarily by modulating AKT1 and VEGFA pathways.

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.

Visuospatial ability and attention as risk factors for suicidal ideation in middle-aged and elderly schizophrenia patients: a cross-sectional study.

BACKGROUND: Schizophrenia patients have a high risk of suicide, and their cognition function is impaired with increasing age. The association between neurocognitive and suicidality in schizophrenia patients are heterogeneous. We aimed to explore the relationship between neurocognitive function and suicidal ideation in schizophrenia patients across age groups. METHODS: A total of 587 patients with schizophrenia were enrolled in this study. The schizophrenia patients were divided into young group (aged 18-44) and middle-aged and elderly group (aged 45-70). The schizophrenia patients were divided into suicidal ideation group and non-suicidal ideation group according to the evaluation results of the Beck Scale for Suicide Ideation. Insomnia symptoms were measured by the Insomnia Severity Index (ISI). Psychotic symptoms were measured by the Positive and Negative Syndrome Scale (PANSS), and cognitive function was measured by the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS). RESULTS: There was a negative correlation between the age and attention scores of RBANS (P = 0.018). The young schizophrenia patients had higher risk of suicidality than middle-aged and elderly schizophrenia patients (P = 0.001). In the logistic regression analysis, the scores of ISI and positive symptoms scores of PANSS were associated with suicidal ideation among young schizophrenia patients (All P < 0.05). Age, BMI, the scores of ISI, general symptoms scores of PANSS, visuospatial scores of RBANS and attention scores of RBANS were associated with suicidal ideation in middle-aged and elderly schizophrenia patients (All P < 0.05). CONCLUSIONS: High visuospatial scores of RBANS and attention scores of RBANS were risk factors for suicidal ideation in middle-aged and elderly schizophrenia patients.

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.

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.

The Association Between Systemic Inflammatory Markers and Post-Stroke Depression: A Prospective Stroke Cohort.

OBJECTIVE: Inflammation plays an important role in stroke. Many inflammatory markers in peripheral blood are proved to be associated with stroke severity or prognosis. But few comprehensive models or scales to evaluate the post-stroke depression (PSD) have been reported. In this study, we aimed to compare the level of systemic inflammation markers between PSD and non-PSD patients and explore the association of these inflammatory markers with PSD. METHODS: Totally, 432 ischemic stroke patients were consecutively enrolled in the study and received 1 month follow-up. We used the 17-Hamilton Rating Scale to measure depressive symptoms at 1 month after stroke. With the Hamilton Depression Scale score of >7, patients were diagnosed with PSD. Systemic immune-inflammation index (SII), neutrophil-to-lymphocyte (NLR), platelet-to-lymphocyte (PLR) and derived neutrophil-to-lymphocyte ratio (dNLR) were calculated from the admission blood work. RESULTS: Finally, 129 patients (30.5%) were diagnosed with PSD at 1 month. PSD patients showed significantly higher levels of SII (501.27 (345.43-782.58) vs 429.60 (315.64-570.98), P=0.001), NLR (2.36 (1.77-3.82) vs 2.17 (1.56-2.80), P=0.010), dNLR (1.67 (1.30-2.51) vs 1.54 (1.16-1.99), P=0.009), PLR (124.65 (95.25-155.15) vs 109.22 (92.38-142.03), P=0.015), especially SII at admission as compared to non-PSD patients. In the logistic analysis, SII value (>547.30) was independently associated with the occurrence of PSD (OR=2.181, 95% CI=1.274-3.732, p =0.004), better than dNLR (OR=1.833, 95% CI=1.071-3.137, p =0.027), PLR (OR= 1.822, 95% CI=1.063-3.122, p =0.029) and NLR (OR =1.728, 95% CI=1.009-2.958, p =0.046). CONCLUSION: Increased SII, PLR, dNLR, NLR, particularly SII at admission, are significantly correlated with PSD and may add some prognostic clues to find early discovery of PSD.

The Association Between Admission Anemia and Poststroke Depression.

ABSTRACT: Poststroke depression (PSD) is the most frequent and important neuropsychiatric problem afflicting these patients. Anemia is common in many of these individuals presenting with acute stroke. This study determined whether there is a relationship between anemia on hospital admission and PSD. Two hundred eighty-four acute stroke patients were included in the study. Among them, there were 88 PSD patients, whereas another 196 were non-PSD patients. Clinical depression symptoms were diagnosed according to DSM-4 (Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition) criteria and a HAMD-17 (the 17-item Hamilton Depression Scale) score ≥8 at 1 month after stroke. In the PSD patients, 27.3% of them presented with anemia, whereas only 12.8% of the non-PSD patients had this condition. There was a negative correlation between hemoglobin level and HAMD-17 score in all patients. A binary logistic regression analysis revealed that anemia was independently associated with PSD after adjustment for sex, National Institutes of Health Stroke Scale scores, mRS (modified Rankin Scale) scores, BI (Barthel Index) scores, RBC (red blood cell), and hematocrit. In conclusion, anemia at admission is associated with PSD seen in these patients 1 month later. Therefore, anemia is a possible predictor of PSD.

The therapeutic effects and safety of bright light therapy combined with escitalopram oxalate on insomnia in patients with poststroke depression.

INTRODUCTION: Bright light therapy (BLT) is known to treat depression and sleep disorders in clinical practice, but its efficacy on poststroke depression (PSD) has not been studied. OBJECTIVE: To investigate the therapeutic effects and safety of BLT combined with escitalopram oxalate (ESC) on insomnia in patients with PSD. METHODS: Ischemic stroke patients with depressive symptoms and a score of ≥8 on the Hamilton Depression Scale (HAMD-17) while meeting DSM-IV criteria were diagnosed as having PSD. A total of 112 PSD patients with symptoms of insomnia were randomly assigned to polytherapy (BLT plus ESC) and monotherapy (ESC only) groups. Each regimen continued for 6 weeks. The primary outcomes were a change in scores on the Pittsburgh Sleep Quality Index (PSQI) and a remission rate (PSQI ≤7 at the endpoint). The secondary outcomes included changes in the HAMD-17 and Barthel Index (BI) scores. Adverse effects were assessed by the Adverse Events Scale. RESULTS: The endpoint assessment included 106 patients (monotherapy, 54; polytherapy, 52). The mean changes in the PSQI scores for the monotherapy and polytherapy groups were 4.85 (1.47) and 5.87 (1.72) (P = 0.001), respectively. Compared to monotherapy, polytherapy improved PSQI remission rate (71.4% vs 50.0%; χ2 = 5.390; P = 0.020), and HAMD-17 score (6.70 [2.12] vs 4.75 [1.98]; P < 0.001). Both treatments improved BI score, with no statistical difference, and were well tolerated, with few significant differences in treatment-associated adverse events. CONCLUSION: BLT combined with ESC is effective and well tolerated for the treatment of PSD-associated insomnia.

Impact of sleep quality on post-stroke anxiety in stroke patients.

OBJECTIVE: To explore whether poor sleep is associated with post-stroke anxiety (PSA) in Chinese patients with acute ischemic stroke (AIS) and to verify whether poor sleep is a predictor of PSA. METHODS: A total of 327 patients with AIS were enrolled and followed up for 1 month. Sleep quality within 1 month before stroke was evaluated using the Pittsburgh Sleep Quality Index (PSQI) at admission. The patients were divided into the poor sleep group (PSQI > 7, n = 76) and good sleep group (PSQI ≤ 7, n = 251). One month after stroke, patients with obvious anxiety symptoms and a Hamilton Anxiety Scale score >7 were diagnosed with PSA. RESULTS: Eighty-seven patients (26.6%) were diagnosed with PSA. Compared to the good sleep quality group, the incidence of PSA in patients with poor sleep quality was higher (42.1% vs. 21.9%, p = .001). Poor sleep quality is more common in patients with PSA (35.6% vs. 18.8%, p = .001). A logistic regression analysis indicated that poor sleep quality was significantly associated with PSA (OR: 2.265, 95% CI: 1.262-4.067, p = .003). After adjusting for conventional and identified risk factors, poor sleep quality was found to be independently associated with PSA (OR: 2.676, 95% CI: 1.451-4.936, p = .001). CONCLUSIONS: Poor sleep quality before stroke was associated with PSA and may be an independent risk factor of PSA 1 month after AIS onset.

Prediabetes is associated with poor functional outcome in patients with intracerebral hemorrhage.

INTRODUCTION: The association between prediabetes and functional outcome in cerebrovascular diseases is controversial. No study has explored the relationship between prediabetes and functional outcome in intracerebral hemorrhage patients. Our study aimed to explore the association between prediabetes and functional outcome in intracerebral hemorrhage patients 1 month poststroke. METHODS: One hundred and fifty intracerebral hemorrhage patients were consecutively recruited within the first 24 hr after admission and were followed up for 1 month. Patients were divided into a diabetes mellitus group, a prediabetes group, and a nondiabetic group by fasting glucose levels, 2-hr postprandial blood glucose levels, and glycosylated hemoglobin levels. Patients with modified Rankin Scale scores >2 at 1 month were defined as having a poor functional outcome. RESULTS: The prediabetes group had a higher risk of poor functional outcome than the nondiabetic group in intracerebral hemorrhage patients (37.9% vs. 9.8%, χ2  = 11.521, p = .001). According to the logistic regression analyses, prediabetes was associated with a poor functional outcome in intracerebral hemorrhage patients after adjusting for confounding factors (odds ratio = 6.167, 95% confidence interval = 1.403-27.102, p = .016). CONCLUSIONS: Our findings show that prediabetes is associated with a poor functional outcome in intracerebral hemorrhage patients 1 month poststroke.

High platelet-to-lymphocyte ratio are associated with post-stroke depression.

BACKGROUND: Post-stroke depression (PSD) is the most common psychological consequence among stroke patients, and inflammatory cytokines have cited as risk factors in PSD. We aimed to evaluate the predictive value of stratification of PLR (platelet-to-lymphocyte ratio), an inflammatory marker, in PSD patients. METHODS: A total of 363 acute ischemic stroke (AIS) patients were screened in the study and received 1-month follow-up. All of the patients were categorized into equal tertiles according to the number of patients and the distribution of PLR. PSD status was evaluated by 17-item Hamilton Depression Rating Scale at 1 month after stroke RESULTS: The optimal cut-off points of PLR were: (T1) 42.15-99.60, (T2) 99.72-127.92, (T3) 127.93-259.84. A total of 77 patients (21.2%) were diagnosed with PSD at 1-month follow-up. Significant differences were found between the PSD and non-PSD groups in PLR tertiles of patients (P < 0.001). After adjustment for conventional confounding factors, the odds ratio of PSD was 5.154 (95% CI, 1.933-13.739) for the highest tertile of PLR compared with the lowest tertile. In multiple-adjusted spline regression, continuously PLR showed linear relation with PSD risk after 95 (P < 0.001 for linearity). LIMITATIONS: We excluded patients with severe aphasia or serious conditions. In addition, the PLR was recorded only at admission, which limited us explore the correlation of the change of PLR over time with PSD CONCLUSIONS: Increased PLR at admission is a significant and independent biomarker to predict the development of PSD, and stratified PLR could strengthen the predictive power for PSD patients.

Impact of prediabetes on poststroke depression in Chinese patients with acute ischemic stroke.

OBJECTIVE: It is unknown whether prediabetes is a predictor of poststroke depression (PSD). We aimed to explore the relationship between prediabetes and PSD in Chinese patients with acute ischemic stroke. METHODS: This is a prospective cohort study, and a total of 358 patients with acute ischemic stroke were recruited and enrolled. Patients were divided into 3 groups: normal glucose group (NGT, n = 96), prediabetes group (preDM, n = 134, impaired fasting glucose (IFG), and/or impaired glucose tolerance (IGT) and/or HbA1c (A1c) 5.7%-6.4%), and the diabetes mellitus group (DM, n = 128). At 1 month after stroke, patients with a Hamilton Depression Scale score of ≥8 were diagnosed as PSD. RESULTS: In post hoc comparisons, the risk of PSD in patients with diabetes and prediabetes was higher than patients with NGT (37.5% vs 31.3% vs 14.6%, P = .001). Compared with NGT, the incidence rate of PSD in patients with prediabetes with HbA1c 5.7% to 6.4% and patients with prediabetes with IFG/IGT + HbA1c 5.7% to 6.4% was higher (35.3% vs 14.6%, 38.0% vs 14.6%; P = .006; P = .003, respectively). In logistic regression, prediabetes with HbA1c 5.7% to 6.4% and prediabetes with IFG/IGT + HbA1c 5.7% to 6.4% were a significant independent predictor of PSD after adjusting for potential confounding factors, with odd ratios of 1.731 and 1.978, respectively. CONCLUSIONS: Our study showed that prediabetes was associated with PSD and may predict its development at 1 month poststroke. In prediabetes subgroups, patients with HbA1c 5.7% to 6.4% were more likely to develop PSD compared to NGT and IFG/IGT groups.

Relationship between serum vitamin D levels and inflammatory markers in acute stroke patients.

Introduction: Low serum vitamin D levels are associated with the development of poststroke depression (PSD). Inflammatory markers play an important role in pathophysiology of PSD. The relationship between vitamin D levels and inflammatory markers has been discussed in nonstroke individuals. The purposes of this study were to explore the relationship between vitamin D levels and inflammatory markers in acute stroke patients and examine the effect of vitamin D and inflammatory markers on PSD. Methods: A total of 152 acute stroke patients were recruited. Serum levels of 25-hydroxyvitamin D and inflammatory markers were measured by standardized laboratory methods. Depression symptoms were assessed with the 17-item Hamilton Depression Scale (HAMD-17). Patients with the HAMD-17 scores ≥7 were identified to have depression symptoms. Results: Serum vitamin D levels were negatively correlated with serum levels of interleukin-6 and high-sensitivity C-reactive protein (hsCRP) (r = -.244, p = .002; r = -.231, p = .004). Multiple regression analysis showed that interleukin-6 and hsCRP levels were associated with vitamin D levels (B = -0.355, p = .003; B = -2.085, p = .006), whereas age, height, weight, leukocyte count, neutrophil ratio, and lymphocyte rate could be omitted without changing the results. In multivariate analyses, the serum levels of vitamin D and interleukin-6 were associated with the development of PSD after adjusted possible variables (OR = 0.976, 95% CI: 0.958-0.994, p = .009; OR = 1.029, 95% CI: 1.003-1.055, p = .027). Conclusions: Serum vitamin D levels are inversely associated with the levels of interleukin-6 and hsCRP, suggesting a potential anti-inflammatory role for vitamin D in stroke individuals.

Prediabetes is associated with post-stroke cognitive impairment in ischaemic stroke patients.

AIM: Diabetes mellitus is associated with post-stroke cognitive impairment. To the best of our knowledge, no study has explored the relationship between prediabetes and post-stroke cognitive impairment. The purpose of this study is to explore the association between prediabetes and cognitive impairment in ischaemic stroke patients at 1 month. METHODS: Two hundred one acute ischaemic stroke patients were consecutively recruited within the first 24 h after admission and were followed up for 1 month. Patients were divided into a diabetes mellitus group, prediabetes group and non-diabetes mellitus group by fasting glucose levels, 2-h postprandial blood glucose levels and glycosylated haemoglobin levels at admission. Cognitive function was evaluated by the Mini-Mental State Examination at 1 month after stroke. RESULTS: The prediabetes group had a higher risk of post-stroke cognitive impairment than the non-diabetes group (35.7% vs. 18.1%, χ2 = 4.252, P = .039). In logistical analyses, prediabetes was associated with post-stroke cognitive impairment after adjusting for potential confounding factors (odds ratio 3.062, 95% confidence interval 1.130-8.299, P = .028). CONCLUSIONS: Our findings show that prediabetes is associated with post-stroke cognitive impairment and may predict its development at 1 month post-stroke.

Low serum uric acid levels in chronic insomnia patients: A case-control study.

Recent studies have demonstrated the presence of oxidative stress in insomnia patients. Uric acid (UA) is regarded as one of the most important antioxidants that may attenuate oxidative stress. The aim of our study was to investigate whether there is an alteration of serum UA levels in chronic insomnia patients. The association between sleep quality and serum UA in chronic insomnia patients was also investigated. We recruited 300 chronic insomnia patients and 300 age- and gender-matched normal controls. The uricase-PAP method was used to measure the concentration of UA both in patient and normal control subjects. The Pittsburgh Sleep Quality Index (PSQI) was used to assess the sleep quality of chronic insomniac participants. As a result, significantly lower serum UA levels were observed in patients with chronic insomnia when compared with normal control subjects (279.56±65.80 vs. 299.10±61.17µmol/L, t=-3.991, p<0.001). Low serum UA levels were correlated with high PSQI scores in multiple linear regression models (ß=-0.322, p<0.001). Our results suggested that low serum UA levels were associated with the presence and severity of chronic insomnia.

Malondialdehyde: A novel predictive biomarker for post-stroke depression.

BACKGROUND: There is evidence that stroke is accompanied by oxidative stress. However, the links between oxidative stress and depression in stroke patients are poorly understood. This study examines whether post-stroke depression (PSD) is associated with oxidative stress. METHODS: Overall, 216 acute stroke patients were consecutively recruited and followed up for 1 month. Blood specimens were collected within 24h after admission and measured for the following oxidative stress biomarkers: malondialdehyde (MDA), superoxide dismutase (SOD) and glutathione peroxidase (GSH-PX). All enrolled patients were divided into the PSD group or the non-PSD group according to an assessment of clinical depression. One hundred normal control subjects were also recruited. RESULTS: There was a positive correlation between serum MDA levels and HAMD scores in stroke patients (r=0.536, p<0.001). Based on the Receiver-operating characteristic (ROC) curve, the optimal cutoff value of serum MDA levels as an indicator for an auxiliary diagnosis of PSD was projected to be 2.898 nmol/ml, which yielded a sensitivity of 77.9% and a specificity of 81.1%, with an area under the curve of 0.883 (95% CI, 0.836-0.929). Elevated MDA (≥2.898 nmol/ml) was an independent predictive marker of PSD (odds ratio OR=24.295; 95% CI, 9.461-62.388; p<0.001, adjusted for relevant confounders). LIMITATIONS: We excluded patients with severe aphasia or with serious conditions. In addition, the information for dietary intake was not recorded, which may influence oxidative stress levels. CONCLUSION: Our study demonstrated that an elevated serum MDA level at admission was positively associated with an increased risk of developing depression after acute stroke, especially minor stroke.

Leukoaraiosis is Associated with Worse Short-Term Functional and Cognitive Recovery after Minor Stroke.

Whether leukoaraiosis burden retards short-term recovery after minor stroke is unclear. We investigated the association between leukoaraiosis and early recovery of neurological function after a first minor ischemic stroke in 217 acute stroke patients (National Institutes of Health Stroke Scale (NIHSS) score ≤5). Leukoaraiosis severity was graded according to the Fazekas scale and categorized into none to mild (0-2; n = 143) or severe (3-6; n = 74) groups. NIHSS and Minimum Mental State Examination (MMSE) were assessed at baseline and at 30 days. Univariate analysis revealed that the severe leukoaraiosis group was older in age (P < 0.001) and had fewer low MMSE patients than non-mild group at baseline (39.1% vs 55.9%, P = 0.003). However, the MMSE improved in none to mild group but not in the severe group at 30-day (15.4% vs 36.5%, P < 0.001). At 30-day, the severe leukoaraiosis group had higher NIHSS scores than the none-mild group (P = 0.04). Multiple linear regression analyses demonstrated that leukoaraiosis severity and admission NIHSS were independently associated with the NIHSS score on day 30 (P = 0.034, 95% CI 0.004-0.091 and P = 0.001, 95% CI 0.011-0.04). Binary regression analyses showed that leukoaraiosis severity and admission MMSE were significantly associated with MMSE (dichotomized) at 30-day (OR 2.1, P < 0.01, 95% CI 1.7-2.6 and OR 5.1, P < 0.01, 95% CI 2.1-12.8). Leukoaraiosis burden is an independent predictor of worse short-term functional and cognitive recovery after a minor ischemic stroke.

Association between Serum Magnesium Levels and Depression in Stroke Patients.

Post-stroke depression (PSD) is a common psychiatric complication of stroke that is associated with a poor outcome in stroke patients. Our aim was to assess the association between the serum magnesium levels and the presence of PSD in Chinese patients. Two hundred nine stroke patients were included in the study. Depressive symptoms were measured by the 17-Hamilton Rating Scale for Depression at 3 months after stroke. Based on the depressive symptoms, diagnoses of depression were made in line with the DSM-IV criteria for PSD. Serum magnesium levels were evaluated using the dimethyl aniline blue colorimetric method at admission. Multivariate analyses were conducted using logistic regression models. Further, 120 normal subjects were recruited, and their serum magnesium levels were also measured as control. At 3 months, fifty-nine patients (28.2%) were diagnosed as PSD. The serum magnesium levels were significantly lower in both PSD patients and non-PSD patients than in normal subjects (p < 0.001). Indeed, patients with PSD showed lower serum magnesium levels (p < 0.001) than did non-PSD patients at admission. In the multivariate analyses, after adjusting for potential variables, we found that an increased risk of PSD was associated with serum magnesium levels ≤ 0.84mmol/L (OR 2.614, 95% CI 1.178-5.798, p=0.018). Low serum magnesium levels at admission were found to be associated with the presence of PSD at 3 months after stroke.