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Objective@#To explore the topological abnormality of brain metabolic network in patients with idiopathic rapid eye movement sleep behavior disorder (iRBD) and compare it with the topology of brain metabolic network in patients with Parkinson′s disease (PD).@*Methods@#The 18F-fluorodeoxyglucose (FDG) PET brain images of 19 patients with iRBD diagnosed with polysomnography (PSG) (iRBD group; 15 males, 4 females, average age: 64.9 years), 19 patients with PD (PD group; 12 males, 7 females, average age: 62.2 years) and 19 gender and age-matched healthy controls (HC group; 15 males, 4 females, average age: 63.1 years) in Huashan Hospital from September 2014 to June 2015 were retrospectively analyzed. According to the complex brain network method based on graph theory, the brain metabolic networks of each group was constructed and the network parameters (clustering coefficient, characteristic path length, local efficiency, global efficiency and small-world property, etc) were evaluated quantitatively. The 500 times non-parametric permutation test was used to determine the differences in network parameters between groups.@*Results@#The brain metabolic networks of iRBD group and PD group both had abnormal topological structure, which showed that the characteristic path length (for example, when sparsity=34%, HC vs iRBD vs PD groups: 1.517 vs 1.552 vs 1.561) and local efficiency (for example, when sparsity=30%, HC vs iRBD vs PD groups: 0.802 vs 0.824 vs 0.831) were significantly increased (both P<0.05), the global efficiency (for example, when sparsity=36%, HC vs iRBD vs PD groups: 0.672 vs 0.658 vs 0.656) was significantly decreased (P<0.05). The topology was more aggravated in PD group compared with that in iRBD group.@*Conclusion@#The graph-based complex brain network analysis can reveal the abnormal topological structure of the brain metabolic network in which iRBD progresses to PD.
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Objective To explore the topological abnormality of brain metabolic network in patients with idiopathic rapid eye movement sleep behavior disorder (iRBD) and compare it with the topology of brain metabolic network in patients with Parkinson's disease (PD).Methods The 18F-fluorodeoxyglucose (FDG) PET brain images of 19 patients with iRBD diagnosed with polysomnography (PSG) (iRBD group;15 males,4 females,average age:64.9 years),19 patients with PD (PD group;12 males,7 females,average age:62.2 years) and 19 gender and age-matched healthy controls (HC group;15 males,4 females,average age:63.1 years) in Huashan Hospital from September 2014 to June 2015 were retrospectively analyzed.According to the complex brain network method based on graph theory,the brain metabolic networks of each group was constructed and the network parameters (clustering coefficient,characteristic path length,local efficiency,global efficiency and small-world property,etc) were evaluated quantitatively.The 500 times non-parametric permutation test was used to determine the differences in network parameters between groups.Results The brain metabolic networks of iRBD group and PD group both had abnormal topological structure,which showed that the characteristic path length (for example,when sparsity =34％,HC vs iRBD vs PD groups:1.517 vs 1.552 vs 1.561) and local efficiency (for example,when sparsity=30％,HC vs iRBD vs PD groups:0.802 vs 0.824 vs 0.831) were significantly increased (both P＜0.05),the global efficiency (for example,when sparsity =36％,HC vs iRBD vs PD groups:0.672 vs 0.658 vs 0.656) was significantly decreased (P＜0.05).The topology was more aggravated in PD group compared with that in iRBD group.Conclusion The graph-based complex brain network analysis can reveal the abnormal topological structure of the brain metabolic network in which iRBD progresses to PD.
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With the advent of social aging, the development of intelligent multifunctional nursing beds that are suitable for hospitals, nursing homes, homes and the like has a wide range of applications, this paper presents an intelligent nursing bed design based on Internet of Things technology. The design uses STM32F103 as the central processor. The design is divided into nursing bed module based on tri-fold structure, central control module based on data processing, weight scale module based on weight detection, power supply module based on system power supply and host computer module based on user operation. The design uses a closed control mode, greatly improving the bed control accuracy. Experimental tests showed that under the action of the intelligent control bed control system, the error rate of bed position information driven bedboard can be less than 2%, which has high accuracy and stability.
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Beds , Equipment Design , Hospitals , Internet , Monitoring, Physiologic , Nursing Homes , TechnologyABSTRACT
Objective To investigate the correlation between plasma homocysteine (Hcy) level and cerebral microbleeds (CMBs) band leukoaraiosis (LA) in patients with acute stroke.Methods The clinical and imaging data of patients with acute stroke were analyzed retrospectively.The numbers of CMBs were counted and the severity of LA was graded according to the results of MRI.Fasting venous samples were obtained and the plasma Hey concentration was measured the next day after admission.Results A total of 139 patients with acute stroke were enrolled,67 of them were females and 72 were males (mean age 70.1 ± 10.2 years); 24 had hemorrhagic stroke and 115 had ischemic stroke.The age (76.23 ± 8.74 years vs.64.58 ± 7.42 years;t =4.621,P =0.012) hypertension ratio (89.13％ vs.67.74％ ;x2 =8.324,P =0.0 370) and plasma Hey level (14.53 ± 4.31 mmol/L vs.11.31 ±3.16 mmol/L;t =6.538,P=0.008| in a severe LA group (n=46) were significantly higher than those in a non-severe LA group (n =93).Spearman correlation analysis showed that there was significant correlation between the plasma Hcy level and the severity of LA (rs =0.365,P =0.002).Multivariate logistic regression analysis showed that the increased Hey level (odds ratio [ OR ],1.366,95％confidence interval [ CI] 1.141 - 1.526; P =0.010) and age (OR 1.093,95％ CI 1.031 - 1.162; P =0.016)were the independent risk factors for severe LA.The age (74.37 ± 6.35 years vs.67.56 ± 8.52 years; t =6.628,P =0.038) and hypertension ratio (94.74％ vs.62.20％;x2 =8.773,P =0.002) in a CBM group were significantly higher than those in a non-CMB group (n =82).Spearman correlation analysis showed that there was no significant correlation between the plasma Hcy level and the numbers of CBMs (rs =0.038,P =0.813).Multivariate logistic regression analysis showed that hypertension was an independent risk factor for CBMs.Conclusions The elevated plasma Hcy level was associated with LA,but it was not associated with CBMs.
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Objective To investigate the risk factors for leukoaraiosis (LA). Methods The clinical and imaging data in patients with stroke were collected retrospectively. LA was divided into periventricular LA and subcortical LA according to the findings of MRI, and they were scored and classified. Results A total of 113 patients with stroke were included. There were 39 women and 74 men (mean age 61.33 ± 1.32 years). The age (65.52 ± 12. 56 vs.47. 96 ±9. 23 years, t =5. 634, P =0. 000), hypertension (68. 60% vs. 29. 63% ,x2 = 12. 932,P =0. 000), diabetes (30. 23% vs. 3.70%, x2 = 7. 953, P = 0. 005), systolic blood pressure (SBP) (147. 42 ± 2. 78 mm Hg vs. 134. 00 ± 22. 45 mm Hg,t = 2. 862, P = 0. 004), glucose (6. 54 ± 3. 48 mmol/L vs. 5. 35 ± 1.37 mmol/L, t = 2. 808, P = 0. 005), and total cholesterol (TC) level (5. 17±0.89 mmol/L vs. 4.59±0.61 mmol/L, t=3. 152, P=0. 002) in patients with periventricular LA (n = 86) were significantly higher than those without periventricular LA (n =27). The age (66. 44 ± 11.33 vs. 47. 96 ±9. 23 years, t =4. 768, P =0. 000), hypertension (74. 29% vs. 34. 88%, x2 = 17. 134, P = 0. 000), SBP (85.46 ± 9. 80 mm Hg vs. 69. 81 ±8. 74 mm Hg, t =2. 999, P=0. 003), diastolic blood pressure (DBP) (85.46 ±9. 80 mm Hg vs.69. 81 ±8.74 mm Hg, t =2. 999, P =0. 003), and TC level (5.22±0.99 mmol/L vs. 4.91 ±0. 75 mmol/L, t =3. 330, P =0. 001) in patients with subcortical LA (n =70) were significantly higher than those without subcortical LA (n =43). Spearman correlation analysis showed that the periventricular LA classification was significantly correlated with the age (rs = 0. 606, P =0. 000), drinking (rs = -0. 257, P = 0. 006), hypertension (rs = 0. 428, P = 0. 000), diabetes (rs =0. 236, P =0. 012), SBP (rs =0. 382, P =0. 000), and DBP (rs =0. 258, P =0. 006). The subcortical LA classification was significantly correlated with the age (rs = 0.488, P = 0. 000),hypertension (rs = 0. 416, P = 0. 000), SBP (rs = 0. 386, P = 0. 000), DBP (rs = 0. 326, P =0. 006), and TC level (rs =0. 231, P =0. 014). Multivariate logistic regression analysis showed that the age (odds ratio[OR] = 1.071, 95% confidence interval [CI] 1.009-1. 137; P=O. 024), hypertension (OR =4. 106, 95% CI 1. 657-10. 174; P =0. 002), and SBP (OR =1. 049,95% CI 1. 162-7. 013; P = 0. 022) were independently correlated with LA. Conclusions The age, hypertension, and SBP are the independent risk factors for LA, in which the age is an uncontrollable factor, and the aggressive prevention and treatment of hypertension may reduce the occurrence of LA.
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Objective To compare primary PCI with venous thrombolysis on the clinical effect in patients with AMI. Methods One hundred and thirty two consecutive patients with acute myocardial infarction during thirteen months were divided into primary PCI group( n =75) and venous thrombolysis group(n=57).The reperfusion rate and cardiac events during in hospital and follow up were recorded in two groups. Results The reperfusion rate of venous thrombolysis was 57.9% and 96% in primary PCI group( P