ObjectiveTo systematically review the effectiveness and safety of intensive blood pressure lowering in intracerebral hemorrhage (ICH). MethodsRandomised controlled trials (RCTs) and quasi-RCTs about ICH patients receiving intensive blood pressure lowering were searched from PubMed, EMbase, SCIE, The Cochrane Library (Issue 2, 2013), CBM, CNKI, VIP and WanFang Data until March, 2014. Literature was screened according to the exclusion and inclusion criteria by two reviewers independently and meta-analysis was conducted using RevMan 5.2 software after data extraction and quality assessment. ResultsA total of 24 studies were included involving 6 299 patients, of which 10 were RCTs and 14 were quasi-RCTs. The results of meta-analysis showed that intensive blood pressure lowering was superior to guideline-recommended intervention in reducing 24-h hematoma expansion rates (OR=0.36, 95%CI 0.28 to 0.46, P < 0.05), 24-h hematoma expansion volume (MD=-3.71, 95%CI-4.15 to-3.28, P < 0.05) and perihematomal edema volume (MD=-1.09, 95%CI-1.92 to-0.22, P < 0.05). Meanwhile, intensive blood pressure lowering improved 21-d NIHSS score (MD=-3.44, 95%CI-5.02 to-1.87, P < 0.05). But there was no significant difference in mortality and adverse reaction between the two groups. ConclusionCurrent evidence shows that intensive blood pressure lowering could reduce hematoma expansion volume and perihematomal edema volume, which is beneficial to recovery of neurological function, but ICH patients' long-term prognosis needs to be further studied. Due to the limited quantity and quality of the included studies, high quality studies are needed to verify the above conclusion.
Hypertension is the primary disease that endangers human health. A convenient and accurate blood pressure measurement method can help to prevent the hypertension. This paper proposed a continuous blood pressure measurement method based on facial video signal. Firstly, color distortion filtering and independent component analysis were used to extract the video pulse wave of the region of interest in the facial video signal, and the multi-dimensional feature extraction of the pulse wave was preformed based on the time-frequency domain and physiological principles; Secondly, an integrated feature selection method was designed to extract the universal optimal feature subset; After that, we compared the single person blood pressure measurement models established by Elman neural network based on particle swarm optimization, support vector machine (SVM) and deep belief network; Finally, we used SVM algorithm to build a general blood pressure prediction model, which was compared and evaluated with the real blood pressure value. The experimental results showed that the blood pressure measurement results based on facial video were in good agreement with the standard blood pressure values. Comparing the estimated blood pressure from the video with standard blood pressure value, the mean absolute error (MAE) of systolic blood pressure was 4.9 mm Hg with a standard deviation (STD) of 5.9 mm Hg, and the MAE of diastolic blood pressure was 4.6 mm Hg with a STD of 5.0 mm Hg, which met the AAMI standards. The non-contact blood pressure measurement method based on video stream proposed in this paper can be used for blood pressure measurement.
To investigate the effect of stepwise paced breathing (PB) on pulse transit time (PTT), we collected physiological signals of electrocardiogram (ECG), respiration and arterial pulse wave during a procedure of stepwise PB, which consists of 6 different breathing rates changing in a protocol of 14.0-12.5-11.0-9.5-8.0-7.0 breath per minute (BPM), with each breathing rate lasting 3 minutes. Twenty two healthy adults involved in this experiment and the change of PTT was analyzed during the stepwise PB procedure. In our study, the PTT was measured by calculating the time interval from the R-spike of the ECG to the peaks of the second derivative of the arterial pulse wave. Ensemble empirical mode decomposition (EEMD) was applied to PTT to decompose the signal into different intrinsic mode function, and respiratory oscillation and trend component (baseline) in PTT were further extracted. It was found that the respiratory oscillations in the PTT increased with decreasing of the PB rate, and many of the subjects (14 out of 22) showed the phenomena of PTT baseline increasing during the stepwise PB procedure. The results indicated that the stepwise PB procedure induced a high level of cardiovascular oscillation and produced an accumulative effect of PTT baseline increase. As PTT is capable of predicting changes in BP over a short period of time, increase of PTT baseline indicates the decrease of blood pressure. The experiments showed that the stepwise PB procedure could reduce blood pressure for most subjects. For future work, it is necessary to develop certain indices differentiating the effectiveness of the stepwise PB procedure on the PTT baseline change, and to test the effectiveness of this stepwise PB procedure on blood pressure reduction for patients with essential hypertension.
Objective Mendelian randomization (MR) was used to analyze the potential relationship between blood pressure and proliferative diabetic retinopathy (PDR). MethodsTwo-sample MR analysis was performed using summary statistics from genome-wide association studies. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were selected as the exposure, PDR as the outcome. The instrumental variable of SBP and DBP came from the publicly available data of the the UK Medical Research Council Comprehensive Epidemiology Unit and Neale Laboratory; the outcome data (8 681 cases in the case group, 204 208 cases in the control group, European population) are from the FinnGen database. Inverse variance weighting (IVW) and weighted median (WM) were used to analyze the potential relationships between SBP, DBP and PDR. ResultsMR analysis showed that IVW [SBP: odds ratio (OR)=1.36, 95% confidence interval (CI) 1.17-1.57, P=4.22E-05; DBP: OR=1.29, 95%CI 1.11-1.51, P=8.6E-04], WM (SBP: OR=1.33, 95%CI 1.07-1.66, P=0.009; DBP: OR=1.28, 95%CI=1.03-1.59, P=0.002). The results showed that elevated SBP and DBP increased the risk of PDR. ConclusionBlood pressure (SBP, DBP) change is positively correlated with the risk of PDR.
The continuous left ventricle blood pressure prediction based on selected heart sound features was realized in this study. The experiments were carried out on three beagle dogs and the variations of cardiac hemodynamics were induced by various dose of epinephrine. The phonocardiogram, electrocardiogram and blood pressures in left ventricle were synchronously acquired. We obtained 28 valid recordings in this study. An artificial neural network was trained with the selected feature to predict left ventricular blood pressure and this trained network made a good performance. The results showed that the absolute average error was 7.3 mm Hg even though the blood pressures had a large range of fluctuation. The average correlation coefficient between the predicted and the measured blood pressure was 0.92. These results showed that the method in this paper was helpful to monitor left ventricular hemodynamics non-invasively and continuously.
ObjectiveTo investigate the value of morning blood pressure surge in the evaluation of atherosclerosis by the observation of the relationship between morning blood pressure surge and ambulatory arterial stiffness index. MethodsFrom May 2011 to March 2013, we followed up 300 hypertensive patients who received ambulatory blood pressure monitoring, and they were divide into elevated morning blood pressure surge group and non-elevated morning blood pressure surge group. The AASI value was recorded and compared between the two groups according to the grade of hypertension. ResultsMorning blood pressure surge was more common in patients with hypertension. Compared with patients in the non-elevated morning blood pressure surge group, ambulatory arterial stiffness index was significantly higher in patients in the elevated morning blood pressure surge group. ConclusionThere is a certain correlation between morning blood pressure surge and arterial stiffness, which is an important factor leading to a variety of target organ damage.
摘要:目的: 觀察腰硬聯合麻醉在前列腺電切術患者中的臨床應用效果。 方法 : 76例經尿道前列腺電切術患者(78±7歲)隨機均分為腰硬聯合麻醉組(C組)及硬膜外組(E組)。C組以腰硬聯合穿刺針于L34穿刺至蛛網膜下腔后,注入05%布比卡因2 mL,通過硬膜外穿刺針置入硬膜外導管;E組行L34間隙硬膜外穿刺置管。記錄麻醉起效時間、麻醉效果、麻醉前及麻醉后5、15、30分鐘時血壓、心率。 結果 : 所有患者均穿刺順利,麻醉起效時間C組為36±13 min, E組68±15 min;C組麻醉效果完善率為100%,E組為95%;麻醉后兩組血壓均下降(〖WTBX〗P lt;005),但降幅均未超過基礎值的20%;兩組麻醉前及麻醉后血壓、心率均無顯著性差異。 結論 :腰硬聯合麻醉用于前列腺電切術具有起效快、麻醉效果佳的優點。Abstract: Objective: To investigate and compare the clinical efficacy and safety of combined spinalepidural(CSEA) and epidural(EA) anesthesia on elderly patients undergoing transurethral resection of the prostate(TURP). Methods : 76 patients(78±7 years) suffering TURP were divided into two group: group CSEA(38cases) and groupEA(38 cases). The dose of bupivacaine in spinal anesthesia is 10 mg. Blood pressure(BP), heart rate(HR) and anesthesia efficacy were observed before anesthesia, 5, 15 and 30min after anesthesia. Results : BP decreased after anesthesia in two groups than before anesthesia(〖WTBX〗P lt;005). The decreases of BP were less than 20% of basises. There were no significant differents of BP and HR between two groups before and after anesthesia. Conclusion :CSEA with bupivacaine 10 mg is safe and efficient in elderly undergoing TURP.
Objective To investigate the characteristics of blood pressure and coronary artery impairment in patients with essential hypertension (EH) combining coronary heart disease (CHD). Methods A total of 358 patients with EH combining CHD and other 144 patients with CHD were measured with ambulatory blood pressure monitoring (ABPM), and the parameters of ambulatory blood pressure were analyzed. All the patients underwent coronary angiography. The severity of coronary artery stenosis was evaluated in accordance with the number of impaired arteries. Results Compared to the patients with simplex CHD, those with EH combining CHD had much heavier artery stenosis and more diffuse lesions, with significant differences (χ2=6.03, P=0.019). The 24h systolic blood pressure (SBP), day SBP, night SBP, 24h pulse pressure (PP), day PP and night PP were higher in the patients with EH combining CHD compared to those of the patients with simplex CHD (The t values were 2.580, 2.045, 2.675, 2.037, 2.601, and 1.995, respectively, while the P values were 0.015, 0.037, 0.009, 0.041, 0.017, and 0.047, respectively). Conclusion Compared to the patients with simplex CHD, the patients with EH combining CHD suffer from much severe coronary artery impairment, so a good controlling of blood pressure is advisable to improve the coronary artery impairment for the patients with EH combining CHD.
Objective To recognize the different phases of Korotkoff sounds through deep learning technology, so as to improve the accuracy of blood pressure measurement in different populations. Methods A classification model of the Korotkoff sounds phases was designed, which fused attention mechanism (Attention), residual network (ResNet) and bidirectional long short-term memory (BiLSTM). First, a single Korotkoff sound signal was extracted from the whole Korotkoff sounds signals beat by beat, and each Korotkoff sound signal was converted into a Mel spectrogram. Then, the local feature extraction of Mel spectrogram was processed by using the Attention mechanism and ResNet network, and BiLSTM network was used to deal with the temporal relations between features, and full-connection layer network was applied in reducing the dimension of features. Finally, the classification was completed by SoftMax function. The dataset used in this study was collected from 44 volunteers (24 females, 20 males with an average age of 36 years), and the model performance was verified using 10-fold cross-validation. Results The classification accuracy of the established model for the 5 types of Korotkoff sounds phases was 93.4%, which was higher than that of other models. Conclusion This study proves that the deep learning method can accurately classify Korotkoff sounds phases, which lays a strong technical foundation for the subsequent design of automatic blood pressure measurement methods based on the classification of the Korotkoff sounds phases.
ObjectiveTo investigate the significance of using the term "high-normal blood pressure" and its intervention in the early stage. MethodsIn 1992 and 2007, we performed two similar investigations focusing on cardiovascular risk factors in 711 people in Chengdu city. Since 114 individuals were diagnosed with hypertension, 597 people without hypertension were eligible and divided into two groups:the normal-pressure[<120/80 mm Hg (1 mm Hg=0.133 kPa)] group and the high-normal blood pressure (systolic blood pressure 120-139 mm Hg and/or diastolic blood pressure 80-89 mm Hg) group. Data in the two investigations were compared to explore the relationship among high-normal blood pressure, cardiovascular disease (CVD) and hypertension. ResultsThe high-normal blood pressure group had a higher level of CVD risk factors both in 1992 and 2007, and the 15-year cumulative incidence of hypertension in the high-normal blood pressure group was higher than that of normal-pressure group (91.2% vs. 22.2%, P<0.001). After adjusting for serum lipid, body weight and other CVD risk factors, high-normal blood pressure could predict the progression into hypertension[HR=5.354, 95% CI (4.094, 7.002), P=0.001]. There was no statistics difference in CVD prevalence in the two groups in 1992, but in 2007 the prevalence of CVD tended to be higher in the high-normal blood pressure group (6.6% vs. 3.1%, P=0.052). ConclusionHigh-normal blood pressure is a special stage of blood pressure with high level of CVD risk factors and high potential to progress into hypertension. The term should be emphasized and intervention should be done in the early stage for high-normal blood pressure people to prevent from hypertension and CVD.