摘要:目的: 观察急性链球菌感染后肾炎(APSGN)患儿血压变化规律。 方法 :观察15例重型APSGN(重型组)和20例普通型APSGN(普通组)患儿病程中各时期血压及尿量变化,并进行免疫和生化指标对比。 结果 :APSGN患儿高血压总共26例(7429%),其中重症组高血压14例(933%),普通组高血压12例(60%),高血压发生率重症组高于普通组〖WTBX〗P lt;005。重症APSGN患儿入院时舒张压、少尿期收缩压舒张压、多尿期舒张压与普通组比较均有显著性差异,〖WTBX〗P lt;005;而且重症APSGN与普通组在少尿期持续时间、尿量、多尿期持续时间、尿量的指标比较也均有显著性差异,〖WTBX〗P lt;005。重症APSGN患儿血IgG、BUN、Cr明显高于普通APSGN,Plt;005。 结论 :高血压是APSGN主要临床表现之一,血压增高多发生于少尿期,但重症APSGN患儿于多尿期出现血压增高的第二次高峰,临床上应注意监测,及时治疗。Abstract: Objective: To observe the law of the changes of children’s blood pressure after the infection of steptococcus with acute nephritis(APSGN).〖WTHZ〗Methods :Watching 15 cases of serious APSGN and 20 cases of ordinary APSGN for their changes in blood pressure and their urine amounts in various periods; contrasting their indexes in immunity and biochemistry.〖WTHZ〗Results :Among 26cases(7429%)of patients’high blood pressure with APSGN,of which 14cases (933%)are serious ones and 12cases (60%)are ordinary ones,the occurrence rate of the serious group is higher than that of the ordinary group, Plt;005At the initial stage, either the diastolic presssure or the diastolic pressure and the systolic pressure of the serious group with a small amount of unine, the diastolic pressure with a large amount of urine are evidently different from those of the ordinary group, Plt;005Furthermore,there are evident differences in the durations and amounts of urine with either a small or a large amount of urine, Plt;005The IgG,BUN and Cr of the serious group are evidently higher than those of the ordinary group,Plt;005 Conclusion :High blood pressure is one of the main clinical manifestations of APSGN.The increase of blood pressure mostly occurs during the period of a small amount of urine, but a second summit of high blood pressure with APSGN mostly appears in the period of a large amount of urine.It must be closely observed and therefore given the timely treatment.
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.
Sleep apnea causes cardiac arrest, sleep rhythm disorders, nocturnal hypoxia and abnormal blood pressure fluctuations in patients, which eventually lead to nocturnal target organ damage in hypertensive patients. The incidence of obstructive sleep apnea hypopnea syndrome (OSAHS) is extremely high, which seriously affects the physical and mental health of patients. This study attempts to extract features associated with OSAHS from 24-hour ambulatory blood pressure data and identify OSAHS by machine learning models for the differential diagnosis of this disease. The study data were obtained from ambulatory blood pressure examination data of 339 patients collected in outpatient clinics of the Chinese PLA General Hospital from December 2018 to December 2019, including 115 patients with OSAHS diagnosed by polysomnography (PSG) and 224 patients with non-OSAHS. Based on the characteristics of clinical changes of blood pressure in OSAHS patients, feature extraction rules were defined and algorithms were developed to extract features, while logistic regression and lightGBM models were then used to classify and predict the disease. The results showed that the identification accuracy of the lightGBM model trained in this study was 80.0%, precision was 82.9%, recall was 72.5%, and the area under the working characteristic curve (AUC) of the subjects was 0.906. The defined ambulatory blood pressure features could be effectively used for identifying OSAHS. This study provides a new idea and method for OSAHS screening.
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.
ObjectiveTo compare home blood pressure monitoring (HBPM) versus ambulatory blood pressure monitoring (ABPM) versus office blood pressure monitoring (OBPM) in diagnosis and management of hypertension, and to find the optimal blood pressure measurement and management.MethodsThe following were compared among three BP monitoring, such as cost-effectiveness, prognostic value of target organ damage (TOD), predictive value of the progress in chronic kidney disease (CKD) and blood pressure variety (BPV). ResultsCompared to OBPM, ABPM was the most cost-effective method in the primary diagnosis of hypertension, but HBPM was the optimal method in long-term and self-management in hypertension. In hypertensives, compared to OBPM, HBPM and ABPM, especially HBPM, had a stronger predictive value for cardiovascular events, stroke, end-stage renal dysfunction (ESRD) and all-cause mortality. In hypertensives with renal dysfunction, controlling HBPM and ABPM, especially controlling ABPM, was an effective way to slow the progress in renal dysfunction, to decrease cardiovascular events, and to decrease the need of dialysis. All BPV derived from OBPM, ABPM and HBPM had a predictive significance of cardiovascular events, and HBPM BPV performed the best.ConclusionCompared to OBPM, ABPM is the best method in primary diagnosis of hypertension and BP control in CKD patients, while HBPM is the best method in predicting and in evaluating BPV, as well as in long-term and self-management in hypertension.
The European Society of Cardiology (ESC) released the "2024 ESC guidelines for the management of elevated blood pressure and hypertension" on August 30, 2024. This guideline updates the 2018 "Guidelines for the management of arterial hypertension." One notable update is the introduction of the concept of "elevated blood pressure" (120-139/70-89 mm Hg). Additionally, a new systolic blood pressure target range of 120-129 mm Hg has been proposed for most patients receiving antihypertensive treatment. The guideline also includes numerous additions or revisions in areas such as non-pharmacological interventions and device-based treatments for hypertension. This article interprets the guideline's recommendations on definition and classification of elevated blood pressure and hypertension, and cardiovascular disease risk assessment, diagnosing hypertension and investigating underlying causes, preventing and treating elevated blood pressure and hypertension. We provide a comparison interpretation with the 2018 "Guidelines for the management of arterial hypertension" and the "2017 ACC/AHA guideline on the prevention, detection, evaluation, and management of high blood pressure in adults."
In order to improve the accuracy of blood pressure measurement in wearable devices, this paper presents a method for detecting blood pressure based on multiple parameters of pulse wave. Based on regression analysis between blood pressure and the characteristic parameters of pulse wave, such as the pulse wave transit time (PWTT), cardiac output, coefficient of pulse wave, the average slope of the ascending branch, heart rate, etc. we established a model to calculate blood pressure. For overcoming the application deficiencies caused by measuring ECG in wearable device, such as replacing electrodes and ECG lead sets which are not convenient, we calculated the PWTT with heart sound as reference (PWTTPCG). We experimentally verified the detection of blood pressure based on PWTTPCG and based on multiple parameters of pulse wave. The experiment results showed that it was feasible to calculate the PWTT from PWTTPCG. The mean measurement error of the systolic and diastolic blood pressure calculated by the model based on multiple parameters of pulse wave is 1.62 mm Hg and 1.12 mm Hg, increased by 57% and 53% compared to those of the model based on simple parameter. This method has more measurement accuracy.
Objective To analyze the influencing factors of prognosis of patients with traumatic brain injury (TBI), and explore the influence of hemoglobin (Hb) level combined with blood pressure variability (BPV) on the quality of prognosis of patients with TBI. Methods The data of 186 TBI patients who received systemic treatment in the Affiliated Zhangjiagang Hospital of Soochow University between January 2020 and December 2021 were retrospectively analyzed. According to the Glasgow Outcome Scale (GOS) 3 months after treatment, they were divided into group A (GOS 4-5, 159 cases) and group B (GOS 1-3, 27 cases). The general clinical data, BPV indexes and Hb levels of the two groups were analyzed by single factor analysis and multiple logistic regression analysis, and the predictive value of the logistic regression model was evaluated by receiver operating characteristic (ROC) curve, sensitivity, specificity and area under the curve (AUC). Results There was no statistical significance in gender, age, body mass index, blood urea nitrogen, prothrombin time, fasting blood glucose level, or smoking history (P>0.05); the patients’ Glasgow Coma Scale at admission in group A was higher than that in group B (P<0.05), and the constituent ratio with a history of hypertension of group A was significantly lower than that of group B (P<0.05). The between-group differences in systolic blood pressure (SBP), diastolic blood pressure (DBP), mean arterial pressure (MAP), and Hb at admission, and SBP, DBP, and MAP 72 h after treatment were not statistically significant (P>0.05); the SBP-standard deviation (SD), DBP-SD, SPB-coefficient of variation (CV) and DBP-CV of group B 72 h after treatment were significantly higher than those of group A (P<0.05), and the level of Hb was significantly lower than that of group A (P<0.05). Hb [odds ratio (OR)=0.787, 95% confidence interval (CI) (0.633, 0.978), P=0.031], SBP-CV [OR=1.756, 95%CI (1.073, 2.880), P=0.023] and DBP-CV [OR=1.717, 95%CI (1.107, 2.665), P=0.016] were all independent prognostic factors of TBI patients. The ROC showed that the combined index of BPV and Hb was more valuable than that of single prediction, with an AUC of 0.896 [95%CI (0.825, 0.935), P<0.05]. Conclusions Both BPV and Hb are independent factors affecting the prognosis of TBI patients, and their combined application can more effectively predict the prognosis of TBI patients. Therefore, when treating and evaluating the prognosis of TBI patients, closely monitoring the changes in blood pressure and Hb levels can timely and effectively control the development of the disease, and provide scientific reference for subsequent treatment.
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.
ObjectiveTo systematically review the relationship between frailty and risk of orthostatic hypotension.MethodsPubMed, EMbase, Web of Science, CNKI, CBM, VIP and WanFang Data databases were electronically searched to collect studies on the association between frailty and orthostatic hypotension from inception to July 7th, 2020. Two reviewers independently screened literature, extracted data and assessed risk of bias of included studies. Meta-analysis was then performed by RevMan 5.3 software.ResultsFive cross-sectional studies involving 8 671 patients were included. The results of meta-analysis showed that prefrailty (OR=1.04, 95%CI 0.99 to 1.09, P=0.11) and frailty (OR=1.02, 95%CI=0.92 to 1.13, P=0.70) were not associated with orthostatic hypotension. The results of subgroup analysis showed that differences of sample size (<500 or ≥500), using different frailty assessment tools (Fried scale, clinical frailty scale, and frailty index), different regions (Europe, Asia, and America) and different sources of studied subjects (hospitals and communities), the risk of orthostatic hypotension were not increased with frailty.ConclusionsCurrent evidence shows that frailty does not increase the risk of orthostatic hypotension. Due to limited quality and quantity of included studies, the above conclusions are needed to be validated by more high-quality studies.