BACKGROUND Post-stroke infection is the most common complication of stroke and poses a huge threat to patients.In addition to prolonging the hospitalization time and increasing the medical burden,post-stroke infection...BACKGROUND Post-stroke infection is the most common complication of stroke and poses a huge threat to patients.In addition to prolonging the hospitalization time and increasing the medical burden,post-stroke infection also significantly increases the risk of disease and death.Clarifying the risk factors for post-stroke infection in patients with acute ischemic stroke(AIS)is of great significance.It can guide clinical practice to perform corresponding prevention and control work early,minimizing the risk of stroke-related infections and ensuring favorable disease outcomes.AIM To explore the risk factors for post-stroke infection in patients with AIS and to construct a nomogram predictive model.METHODS The clinical data of 206 patients with AIS admitted to our hospital between April 2020 and April 2023 were retrospectively collected.Baseline data and post-stroke infection status of all study subjects were assessed,and the risk factors for poststroke infection in patients with AIS were analyzed.RESULTS Totally,48 patients with AIS developed stroke,with an infection rate of 23.3%.Age,diabetes,disturbance of consciousness,high National Institutes of Health Stroke Scale(NIHSS)score at admission,invasive operation,and chronic obstructive pulmonary disease(COPD)were risk factors for post-stroke infection in patients with AIS(P<0.05).A nomogram prediction model was constructed with a C-index of 0.891,reflecting the good potential clinical efficacy of the nomogram prediction model.The calibration curve also showed good consistency between the actual observations and nomogram predictions.The area under the receiver operating characteristic curve was 0.891(95%confidence interval:0.839–0.942),showing predictive value for post-stroke infection.When the optimal cutoff value was selected,the sensitivity and specificity were 87.5%and 79.7%,respectively.CONCLUSION Age,diabetes,disturbance of consciousness,NIHSS score at admission,invasive surgery,and COPD are risk factors for post-stroke infection following AIS.The nomogram prediction model established based on these factors exhibits high discrimination and accuracy.展开更多
BACKGROUND Stroke has a great influence on the patient’s mental health,and reasonable psychological adjustment and disease perception can promote the recovery of mental health.AIM To explore the relationships among r...BACKGROUND Stroke has a great influence on the patient’s mental health,and reasonable psychological adjustment and disease perception can promote the recovery of mental health.AIM To explore the relationships among resilience,coping style,and uncertainty in illness of stroke patients.METHODS A retrospective study was used to investigate 154 stroke patients who were diagnosed and treated at eight medical institutes in Henan province,China from October to December 2019.We used the Mishel Uncertainty in Illness Scale,the Connor-Davidson Resilience Scale,and the Medical Coping Modes Questionnaire to test the uncertainty in illness,resilience,and coping style,respectively.RESULTS Resilience had a significant moderating role in the correlation between coping style and unpredictability and information deficiency for uncertainty in illness(P<0.05).Further,the tenacity and strength dimensions of resilience mediated the correlation between the confrontation coping style and complexity,respectively(P<0.05).The strength dimension of resilience mediated the correlation between an avoidance coping style and the unpredictability of uncertainty in illness(P<0.05),as well as correlated with resignation,complexity,and unpredictability(P<0.05).CONCLUSION Resilience has moderating and mediating roles in the associations between coping style and uncertainty in illness,indicating that it is vital to improve resilience and consider positive coping styles for stroke patients in the prevention and control of uncertainty in illness.展开更多
AIM: To investigate the candidate microRNA(miRNA), miR-221 as a novel biomarker for diabetic retinopathy(DR) in patients associated with type 2 diabetes(T2D).METHODS: The subjects involved were divided into four group...AIM: To investigate the candidate microRNA(miRNA), miR-221 as a novel biomarker for diabetic retinopathy(DR) in patients associated with type 2 diabetes(T2D).METHODS: The subjects involved were divided into four groups: healthy control(HC), no diabetic retinopathy(NDR), non-proliferative diabetic retinopathy(NPDR) and proliferative diabetic retinopathy(PDR) group. Serum miR-221 was validated by real-time quantitative reversetranscription polymerase chain reaction(qRT-PCR). Also, serum angiotensin II(Ang II) and vascular endothelial growth factor(VEGF) were examined by enzyme-linked immunosorbent assay. In addition, receiver operating characteristic(ROC) curve was performed to explore the diagnostic accuracy of miR-221, Ang Ⅱ and VEGF for DR in patients with T2D. Spearman’s rank correlation coefficient was executed to estimate the correlations of serum miR-221 with metabolic parameters and serum markers in patients with T2D.RESULTS: Primarily, serum miR-221, Ang Ⅱ and VEGF were increased significantly in T2D patients compared to HC participant respectively, and progressive up-regulated in NDR, NPDR and PDR groups(P<0.001). Additionally, miR-221 in serum was remarkably positively correlatedwith metabolic parameters such as glycated hemoglobin(r=0.310, P=0.002) and homeostasis model assessment for insulin resistance(r=0.413, P<0.001), as well as serum markers for instance Ang Ⅱ(r=0.667, P<0.001) and VEGF(r=0.499, P<0.001). Furthermore, serum miR-221(AUC, 0.894; 95%CI, 0.833-0.955; P<0.001), Ang Ⅱ(AUC, 0.888; 95%CI, 0.828-0.949; P<0.001) and VEGF(AUC, 0.785; 95%CI, 0.695-0.875; P<0.001) had evidently diagnostic efficiency in DR, and miR-221 is the most effective among them.CONCLUSION: Serum miR-221 as a potential biomarker could be related to not only occurrence but also progression for DR in patients with T2D. However, a prospective clinical trial is warranted.展开更多
A three-component reaction of 1,3-enynes and cyclobutanone oxime esters in the presence of aryl boronic acids or organozinc reagents via the photoredox/copper or photoredox/nickel catalysis has been established.This r...A three-component reaction of 1,3-enynes and cyclobutanone oxime esters in the presence of aryl boronic acids or organozinc reagents via the photoredox/copper or photoredox/nickel catalysis has been established.This redox-neutral 1,4-cyanoalkylarylation reaction has demonstrated mild condition,high catalytic reactivity and wide functional group compatibility,allowing access to a variety of functionalized tetra-substituted allene derivatives with high chemo-and regioselectivity.Moreover,using photocatalytic continuous flow technique to promote this process would result in increased yields(70%in flow vs.61%in batch),reduced reaction times(7 min in flow vs.6 h in batch),and easy scale-up(upgrade to gram scale),showcasing its potential as a synthetic platform.展开更多
基金Shandong Province Grassroots Health Technology Innovation Program Project,No.JCK22007.
文摘BACKGROUND Post-stroke infection is the most common complication of stroke and poses a huge threat to patients.In addition to prolonging the hospitalization time and increasing the medical burden,post-stroke infection also significantly increases the risk of disease and death.Clarifying the risk factors for post-stroke infection in patients with acute ischemic stroke(AIS)is of great significance.It can guide clinical practice to perform corresponding prevention and control work early,minimizing the risk of stroke-related infections and ensuring favorable disease outcomes.AIM To explore the risk factors for post-stroke infection in patients with AIS and to construct a nomogram predictive model.METHODS The clinical data of 206 patients with AIS admitted to our hospital between April 2020 and April 2023 were retrospectively collected.Baseline data and post-stroke infection status of all study subjects were assessed,and the risk factors for poststroke infection in patients with AIS were analyzed.RESULTS Totally,48 patients with AIS developed stroke,with an infection rate of 23.3%.Age,diabetes,disturbance of consciousness,high National Institutes of Health Stroke Scale(NIHSS)score at admission,invasive operation,and chronic obstructive pulmonary disease(COPD)were risk factors for post-stroke infection in patients with AIS(P<0.05).A nomogram prediction model was constructed with a C-index of 0.891,reflecting the good potential clinical efficacy of the nomogram prediction model.The calibration curve also showed good consistency between the actual observations and nomogram predictions.The area under the receiver operating characteristic curve was 0.891(95%confidence interval:0.839–0.942),showing predictive value for post-stroke infection.When the optimal cutoff value was selected,the sensitivity and specificity were 87.5%and 79.7%,respectively.CONCLUSION Age,diabetes,disturbance of consciousness,NIHSS score at admission,invasive surgery,and COPD are risk factors for post-stroke infection following AIS.The nomogram prediction model established based on these factors exhibits high discrimination and accuracy.
基金Supported by The Humanities and Social Sciences Research Program of the Henan Province Education Department in 2017,No.2017-ZZJH-439.
文摘BACKGROUND Stroke has a great influence on the patient’s mental health,and reasonable psychological adjustment and disease perception can promote the recovery of mental health.AIM To explore the relationships among resilience,coping style,and uncertainty in illness of stroke patients.METHODS A retrospective study was used to investigate 154 stroke patients who were diagnosed and treated at eight medical institutes in Henan province,China from October to December 2019.We used the Mishel Uncertainty in Illness Scale,the Connor-Davidson Resilience Scale,and the Medical Coping Modes Questionnaire to test the uncertainty in illness,resilience,and coping style,respectively.RESULTS Resilience had a significant moderating role in the correlation between coping style and unpredictability and information deficiency for uncertainty in illness(P<0.05).Further,the tenacity and strength dimensions of resilience mediated the correlation between the confrontation coping style and complexity,respectively(P<0.05).The strength dimension of resilience mediated the correlation between an avoidance coping style and the unpredictability of uncertainty in illness(P<0.05),as well as correlated with resignation,complexity,and unpredictability(P<0.05).CONCLUSION Resilience has moderating and mediating roles in the associations between coping style and uncertainty in illness,indicating that it is vital to improve resilience and consider positive coping styles for stroke patients in the prevention and control of uncertainty in illness.
基金National Natural Science Foundation of China (No.81371045No.81570866)+3 种基金Science and Technology Program of Liaoning Province,China (No.201002196No.2013225049)Science and Technology Program of Shenyang Municipality,China (No.F13-221-9-37No.18-014-4-41)
文摘AIM: To investigate the candidate microRNA(miRNA), miR-221 as a novel biomarker for diabetic retinopathy(DR) in patients associated with type 2 diabetes(T2D).METHODS: The subjects involved were divided into four groups: healthy control(HC), no diabetic retinopathy(NDR), non-proliferative diabetic retinopathy(NPDR) and proliferative diabetic retinopathy(PDR) group. Serum miR-221 was validated by real-time quantitative reversetranscription polymerase chain reaction(qRT-PCR). Also, serum angiotensin II(Ang II) and vascular endothelial growth factor(VEGF) were examined by enzyme-linked immunosorbent assay. In addition, receiver operating characteristic(ROC) curve was performed to explore the diagnostic accuracy of miR-221, Ang Ⅱ and VEGF for DR in patients with T2D. Spearman’s rank correlation coefficient was executed to estimate the correlations of serum miR-221 with metabolic parameters and serum markers in patients with T2D.RESULTS: Primarily, serum miR-221, Ang Ⅱ and VEGF were increased significantly in T2D patients compared to HC participant respectively, and progressive up-regulated in NDR, NPDR and PDR groups(P<0.001). Additionally, miR-221 in serum was remarkably positively correlatedwith metabolic parameters such as glycated hemoglobin(r=0.310, P=0.002) and homeostasis model assessment for insulin resistance(r=0.413, P<0.001), as well as serum markers for instance Ang Ⅱ(r=0.667, P<0.001) and VEGF(r=0.499, P<0.001). Furthermore, serum miR-221(AUC, 0.894; 95%CI, 0.833-0.955; P<0.001), Ang Ⅱ(AUC, 0.888; 95%CI, 0.828-0.949; P<0.001) and VEGF(AUC, 0.785; 95%CI, 0.695-0.875; P<0.001) had evidently diagnostic efficiency in DR, and miR-221 is the most effective among them.CONCLUSION: Serum miR-221 as a potential biomarker could be related to not only occurrence but also progression for DR in patients with T2D. However, a prospective clinical trial is warranted.
基金This work was supported by the National Natural Science Foundation of China(Nos.21702103,21522604)the Jiangsu Synergetic Innovation Center for Advanced Bio-Manufacture(No.XTD2203)the Natural Science Research Projects of Jiangsu Higher Education(No.19KJB150027).
文摘A three-component reaction of 1,3-enynes and cyclobutanone oxime esters in the presence of aryl boronic acids or organozinc reagents via the photoredox/copper or photoredox/nickel catalysis has been established.This redox-neutral 1,4-cyanoalkylarylation reaction has demonstrated mild condition,high catalytic reactivity and wide functional group compatibility,allowing access to a variety of functionalized tetra-substituted allene derivatives with high chemo-and regioselectivity.Moreover,using photocatalytic continuous flow technique to promote this process would result in increased yields(70%in flow vs.61%in batch),reduced reaction times(7 min in flow vs.6 h in batch),and easy scale-up(upgrade to gram scale),showcasing its potential as a synthetic platform.