BACKGROUND The identification of risk factors for recurrence in patients with minor ischemic stroke(MIS)is a critical medical need.AIM To develop a nomogram for individualized prediction of in-hospital recurrence in M...BACKGROUND The identification of risk factors for recurrence in patients with minor ischemic stroke(MIS)is a critical medical need.AIM To develop a nomogram for individualized prediction of in-hospital recurrence in MIS patients.METHODS Based on retrospective collection,a single-center study was conducted at the First Affiliated Hospital of Anhui Medical University from January 2014 to December 2019.Univariate and multivariate logistic regression analyses were used to determine the risk factors associated with MIS recurrence.The least absolute shrinkage and selection operator regression was performed for preliminary identification of potential risk factors.Uric acid,systolic blood pressure,serum total bilirubin(STBL),and ferritin were integrated for nomogram construction.The predictive accuracy and calibration of the nomogram model were assessed by the area under the receiver operating characteristic curve(AUC-ROC)and Hosmer-Lemeshow test,respectively.RESULTS A total of 2216 MIS patients were screened.Among them,155 were excluded for intravascular therapy,146 for unknown National Institutes of Health Stroke Scale score,195 for intracranial hemorrhage,and 247 for progressive stroke.Finally,1244 patients were subjected to further analysis and divided into a training set(n=796)and a validation set(n=448).Multivariate logistic regression analysis revealed that uric acid[odds ratio(OR):0.997,95%confidence interval(CI):0.993-0.999],ferritin(OR:1.004,95%CI:1.002-1.006),and STBL(OR:0.973,95%CI:0.956-0.990)were independently associated with in-hospital recurrence in MIS patients.Our model showed good discrimination;the AUC-ROC value was 0.725(95%CI:0.646-0.804)in the training set and 0.717(95%CI:0.580-0.785)in the validation set.Moreover,the calibration between nomogram prediction and the actual observation showed good consistency.Hosmer-Lemeshow test results confirmed that the nomogram was well-calibrated(P=0.850).CONCLUSION Our present findings suggest that the nomogram may provide individualized prediction of recurrence in MIS patients.展开更多
BACKGROUND Cerebral proliferative angiopathy(CPA)is a rare vascular disease characterized by the presence of diffuse vascular proliferation,progressive vascular hyperflow and vasodilation of multiple vessels in the no...BACKGROUND Cerebral proliferative angiopathy(CPA)is a rare vascular disease characterized by the presence of diffuse vascular proliferation,progressive vascular hyperflow and vasodilation of multiple vessels in the normal brain parenchyma.Unlike cerebral arteriovenous malformations,CPA has a mixed appearance between that of lesions with cell proliferation and endothelial proliferation.To date,the pathogenesis of CPA is unclear,in which changes induced by cortical ischemia in the elastic layer of the blood supply artery and smooth muscle cells may be involved.CASE SUMMARY In this article,we retrospectively analyzed a case of hemorrhagic transformation of ischemic CPA diagnosed by digital subtraction angiography and reviewed the related literature for further exploration of its pathogenesis,diagnosis and treatment.CONCLUSION The information in the present case report may facilitate further clinical research on this cerebrovascular disease.展开更多
Wind speed and direction data during typhoon Meari were obtained from eight anemometers installed at heights of 10, 20, 30, and 40 m on a 40-m tower built in the Pudong area of Shanghai. Wind-turbulence characteristic...Wind speed and direction data during typhoon Meari were obtained from eight anemometers installed at heights of 10, 20, 30, and 40 m on a 40-m tower built in the Pudong area of Shanghai. Wind-turbulence characteristics, including wind-speed profile, turbulence integral scale, power spectra, correlations, and coherences were analyzed. Wind-speed profiles varied with time during the passage of Meari. Measured wind-speed profiles could be expressed well by both a power law and a log law. Turbulence integral scales for u, v, and w components all increased with wind speed. The ratios of the turbulence scales among the turbulence components averaged for all 10-min data were 1：0.69：0.08 at 10 m, 1：0.61：0.09 at 20 m, and 1：0.65：0.13 at 40 m. The turbulence integral scales for the u and v components increased with average gust time, but the turbulence integral scale for the w component remained almost constant when the gust duration was greater than 10 min. The decay factor of the coherence function increased slightly with wind speed, with average values for longitudinal and lateral dimensions of 14.3 and 11.3, respectively. The slope rates of the turbulence spectra in the inertial range were less than -5/3 at first, but gradually satisfied the Kolmogorov 5/3 law. The longitudinal wind-power fluctuation spectrum roughly fitted the von Karman spectrum, but slight deviations occurred in the high-frequency band for lateral and vertical wind-power fluctuation spectra.展开更多
基金Supported by the National Natural Science Foundation of China(No.81771154)the Natural Science Foundation of Anhui Province(No.1908085QH322).
文摘BACKGROUND The identification of risk factors for recurrence in patients with minor ischemic stroke(MIS)is a critical medical need.AIM To develop a nomogram for individualized prediction of in-hospital recurrence in MIS patients.METHODS Based on retrospective collection,a single-center study was conducted at the First Affiliated Hospital of Anhui Medical University from January 2014 to December 2019.Univariate and multivariate logistic regression analyses were used to determine the risk factors associated with MIS recurrence.The least absolute shrinkage and selection operator regression was performed for preliminary identification of potential risk factors.Uric acid,systolic blood pressure,serum total bilirubin(STBL),and ferritin were integrated for nomogram construction.The predictive accuracy and calibration of the nomogram model were assessed by the area under the receiver operating characteristic curve(AUC-ROC)and Hosmer-Lemeshow test,respectively.RESULTS A total of 2216 MIS patients were screened.Among them,155 were excluded for intravascular therapy,146 for unknown National Institutes of Health Stroke Scale score,195 for intracranial hemorrhage,and 247 for progressive stroke.Finally,1244 patients were subjected to further analysis and divided into a training set(n=796)and a validation set(n=448).Multivariate logistic regression analysis revealed that uric acid[odds ratio(OR):0.997,95%confidence interval(CI):0.993-0.999],ferritin(OR:1.004,95%CI:1.002-1.006),and STBL(OR:0.973,95%CI:0.956-0.990)were independently associated with in-hospital recurrence in MIS patients.Our model showed good discrimination;the AUC-ROC value was 0.725(95%CI:0.646-0.804)in the training set and 0.717(95%CI:0.580-0.785)in the validation set.Moreover,the calibration between nomogram prediction and the actual observation showed good consistency.Hosmer-Lemeshow test results confirmed that the nomogram was well-calibrated(P=0.850).CONCLUSION Our present findings suggest that the nomogram may provide individualized prediction of recurrence in MIS patients.
基金Supported by National Natural Science Foundation of China,No.81771154.
文摘BACKGROUND Cerebral proliferative angiopathy(CPA)is a rare vascular disease characterized by the presence of diffuse vascular proliferation,progressive vascular hyperflow and vasodilation of multiple vessels in the normal brain parenchyma.Unlike cerebral arteriovenous malformations,CPA has a mixed appearance between that of lesions with cell proliferation and endothelial proliferation.To date,the pathogenesis of CPA is unclear,in which changes induced by cortical ischemia in the elastic layer of the blood supply artery and smooth muscle cells may be involved.CASE SUMMARY In this article,we retrospectively analyzed a case of hemorrhagic transformation of ischemic CPA diagnosed by digital subtraction angiography and reviewed the related literature for further exploration of its pathogenesis,diagnosis and treatment.CONCLUSION The information in the present case report may facilitate further clinical research on this cerebrovascular disease.
基金Project supported by the National Natural Science Foundation of China （No. 51378396）, the Open Project of Guangxi Key Laboratory of Disaster Prevention and Structural Safety （No. 2014ZDK005）, and the Chongqing Postdoctoral Science Foundation （No. Xm2015066）, China
文摘Wind speed and direction data during typhoon Meari were obtained from eight anemometers installed at heights of 10, 20, 30, and 40 m on a 40-m tower built in the Pudong area of Shanghai. Wind-turbulence characteristics, including wind-speed profile, turbulence integral scale, power spectra, correlations, and coherences were analyzed. Wind-speed profiles varied with time during the passage of Meari. Measured wind-speed profiles could be expressed well by both a power law and a log law. Turbulence integral scales for u, v, and w components all increased with wind speed. The ratios of the turbulence scales among the turbulence components averaged for all 10-min data were 1：0.69：0.08 at 10 m, 1：0.61：0.09 at 20 m, and 1：0.65：0.13 at 40 m. The turbulence integral scales for the u and v components increased with average gust time, but the turbulence integral scale for the w component remained almost constant when the gust duration was greater than 10 min. The decay factor of the coherence function increased slightly with wind speed, with average values for longitudinal and lateral dimensions of 14.3 and 11.3, respectively. The slope rates of the turbulence spectra in the inertial range were less than -5/3 at first, but gradually satisfied the Kolmogorov 5/3 law. The longitudinal wind-power fluctuation spectrum roughly fitted the von Karman spectrum, but slight deviations occurred in the high-frequency band for lateral and vertical wind-power fluctuation spectra.
基金Project supported by the Fund of State Key Laboratory of Subtropical Building Science,South China University of Technology,China(No.2019ZB28)the Key Project of Foundation and Frontier Research of Chongqing,China(No.cstc2017jcyjAX0187)
