Blood pressure variability (BPV) is a novel predictor related to blood pressure level, and a large number of studies based on the hypertension cohort have shown that BPV is an independent predictor of target organ damages and cardiovascular adverse outcomes. Due to the significant hemodynamic changes, BPV in patients with chronic kidney disease (CKD) and hemodialysis is higher than the simple hypertension cohort, suggesting that BPV may be of great significance to patients with chronic kidney disease and hemodialysis. In recent years, studies based on CKD and hemodialysis cohort have published in succession whose results revealed that BPV of this cohort is of great prognostic significance for predicting target organ damages and cardiovascular disease risks. This article aims to provide an overview on these research, so as to survey and predict the clinical significance of BPV in CKD and hemodialytic patients.
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.
Blood pressure variability (BPV) refers to the fluctuations of blood pressure in a certain period of time. In recent years, BPV is becoming a predictive marker for cardiovascular events. Given the hemodynamic and internal environmental change brought by hemodialysis as well as the complex complications, hemodialysis patients always have complex BPV. Nowadays there is no consensus on an optimal standard to evaluate BPV in hemodialysis population. Metrics usually used are as follows: blood pressure change during a certain period of time, standard deviation, coefficient of variation, variation independent of mean, average real variability, weighted mean of daytime and night-time standard deviation, residual derived from generalized linear models, and residual standard deviation. Impact factors of BPV in hemodialysis patients include age, ultrafitration volume, hemodialysis frequency and time length, peripheral vascular disease, serum calcium, antihypertensive drugs and so on. Recent studies showed significant associations between both long-term and short-term BPV with prognosis of hemodialysis patients. This review focuses on the evaluation methods, the influencing factors and the impact on prognosis of BPV.
The peak period of cardiovascular disease (CVD) is around the time of awakening in the morning, which may be related to the surge of sympathetic activity at the end of nocturnal sleep. This paper chose 140 participants as study object, 70 of which had occurred CVD events while the rest hadn’t during a two-year follow-up period. A two-layer model was proposed to investigate whether hypnopompic heart rate variability (HRV) was informative to distinguish these two types of participants. In the proposed model, the extreme gradient boosting algorithm (XGBoost) was used to construct a classifier in the first layer. By evaluating the feature importance of the classifier, those features with larger importance were fed into the second layer to construct the final classifier. Three machine learning algorithms, i.e., XGBoost, random forest and support vector machine were employed and compared in the second layer to find out which one can achieve the highest performance. The results showed that, with the analysis of hypnopompic HRV, the XGBoost+XGBoost model achieved the best performance with an accuracy of 84.3%. Compared with conventional time-domain and frequency-domain features, those features derived from nonlinear dynamic analysis were more important to the model. Especially, modified permutation entropy at scale 1 and sample entropy at scale 3 were relatively important. This study might have significance for the prevention and diagnosis of CVD, as well as for the design of CVD-risk assessment system.
Heart rate is the most common index to directly monitor the level of physical stress by comparing the subject's heart rate with an appropriate "target heart rate" during exercise. However, heart rate only reveals the cardiac rhythm of the complex cardiovascular changes that take place during exercise. It is essential to get the dynamic response of the heart to exercise with various indices instead of only one single measurement. Based on the rest-workload alternating pattern, this paper screens the sensitive indices of exercise load from electrocardiogram (ECG) rhythm and waveform, including 4 time domain indices and 4 frequency domain indices of heart rate variability (HRV), 3 indices of waveform similarity and 2 indices of high frequency noise. In conclusion, RR interval (heart rate) is a reliable index for the realtime monitoring of exercise intensity, which has strong linear correlation with load intensity. The ECG waveform similarity and HRV indices are useful for the evaluation of exercise load.
ObjectiveTo investigate the pathogenesis, clinical manifestations, diagnosis and treatment of common variable immune deficiency (CVID).MethodsOne case of CVID with cellular immunodeficiency leading to bronchiectasis and liver cirrhosis was analyzed retrospectively. Relevant literatures were also searched through WanFang Database, China National Knowledge Infrastructure and PubMed, Ovid, Embase, Cochrane using the key words " common variable immunodeficiency”, " common variable hypogammaglobulinemia” in Chinese and English.ResultsA 52-year-old female patient, complained of cough, expectoration for 20 years, edema for 7 years and aggravated for 3 months with a history of recurrent respiratory infections was hospitalized in the West China Hospital of Sichuan University. The chest computed tomography revealed bronchiectasis, liver cirrhosis and portal hypertension. Laboratory tests showed remarkable hypogammaglobulinemia. The CD4+ T-cell count was below the normal range. Probable diagnosis of CVID was made based on clinical characteristics and laboratory tests. Immunoglobulin infusion with a dose of 20 g was given and the symptoms were relieved. About 288 case reports including 8 000 patients were searched. Most of them were reported individually. Conclusions CVID has a low morbidity and is rare in China. It is mostly caused by genetic factors. When there are recurrent infections in common areas of body, infections in rare areas or infections of conditioned pathogen, clinicians should be vigilant and give intervention as soon as possible. Family and genetic researches could be done when permitted.
Objective To investigate the changes and clinical relationship of plasma adrenomedullin( ADM) , atrial natriuretic polypeptide( ANP) , and heart rate variability( HRV) in patients with obstructive sleep apnea-hypopnea syndrome ( OSAHS) . Methods Seventy-five inpatients with OSAHS were enrolled in this study. According to the apnea hypopnea index ( AHI) by polysomnography, the subjects were divided into a mild group, a moderate group, and a severe group. Meanwhile, HRV was screened bydynamic electrocardiogram in sleep laboratory. HRV parameters were obtained including LF ( low frequency power) , HF( high frequency power) , pNN50( percentage of NN50 in the total number of N-N intervals) ,SDNN( standard deviation of the N-N intervals) , rMSSD( square root of the mean squared differences of successive N-N intervals ) . Plasma levels of ADM/ANP were measured by radioimmunoassay. Results The levels of SDNN ( P lt;0. 05) , rMSSD, pNN50, LF ( P lt; 0. 05) and HF were gradually reduced, and the levels of ADM ( P lt;0. 05) and ANP ( P lt; 0. 05) were increased with increasing severity of OSAHS. Linear correlation analysis demonstrated that SDNN was negatively correlated with ADM( r = - 0. 423, P lt;0. 05)and ANP( r = - 0. 452, P lt; 0. 05) , and LF was also negatively correlated with ADM( r = - 0. 348, P lt;0. 05) . Conclusion Lower HRV is associated with more sever OSAHS, and it may be modulated neurohumorally by ADM and ANP.
ObjectiveTo systematically review the clinical effect and safety of traditional Chinese medicine (TCM) in the treatment of cough variant asthma (CVA). MethodsWe searched MEDLINE (Ovid), PubMed, EMbase, The Cochrane Library, VIP, WanFang Data, CNKI and CBM databases to collect randomized controlled trials (RCTs) about TCM for CVA from inception to May 2014. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Then meta-analysis was performed by RevMan 5.2 software. ResultsA total of 17 RCTs were included. The results of qualitative analysis showed that:in improving cough symptom, three of four RCTs showed that TCM was superior to western medicine alone. In improving airway hyper responsiveness and overall treatment effect, the difference between TCM and western medicine alone remained uncertain. No serious adverse reactions related to TCM was reported in 17 RCTs. ConclusionBased on the current evidence, some trials suggest the TCM is superior to western medicine alone in improving cough symptom, however in the improvement of airway hyper responsiveness and overall efficacy, the difference between TCM and western medicine alone remains uncertain. Due to the variety of TCM and western medicine as well as limited methodological quality and different intervention of the included studies, more high-quality RCTs with large scale are needed to verify the above conclusion.
ObjectiveTo study the relationship between preoperative heart rate variability (HRV) and postoperative atrial fibrillation (POAF) after off-pump coronary artery bypass grafting (OPCAB). MethodsA retrospective analysis was performed on the clinical data of 290 patients who were admitted to the Department of Cardiovascular Surgery, General Hospital of Northern Theater Command from May to September 2020 and received OPCAB. There were 217 males and 73 females aged 36-80 years. According to the incidence of POAF, the patients were divided into two groups: a non-atrial fibrillation group (208 patients) and an atrial fibrillation group (82 patients). The time domain and frequency domain factors of mean HRV 7 days before operation were calculated: standard deviation of all normal-to-normal intervals (SDNN), root mean square of successive differences, percentage difference between adjacent normal-to-normal intervals that were greater than 50 ms, low frequency power (LF), high frequency power (HF), LF/HF. ResultsThe HRV value of patients without POAF was significantly lower than that of patients with POAF (P<0.05). The median SDNN of the two groups were 78.90 ms and 91.55 ms, respectively. Age (OR=3.630, 95%CI 2.015-6.542, P<0.001), left atrial diameter (OR=1.074, 95%CI 1.000-1.155, P=0.046), and SDNN (OR=1.017, 95%CI 1.002-1.032, P=0.024) were independently associated with the risk of POPAF after OPCAB. Conclusion SDNN may be an independent predictor of POAF after OPCAB.