Objective
To explore the effect of motivational interviewing (MI) on medication compliance and self-management behaviors of patients with chronic heart failure (CHF).
Methods
Between April 2013 and May 2015, 200 cases of CHF were randomly divided into control group (n=98) and MI group (n=102). Patients in the control group received routine nursing measures only. On the basis of routine nursing measures, patients in the MI group received MI program throughout the whole process inside and outside the hospital. The main contents of MI were medication compliance and self-management, to find the existing problems in patients’ daily living and make solutions with the patients. At the time of admission and 6 months after discharge, the Compliance Scale for Drug Treatment of Hypertension and the Self-management Scale for Patients with Heart Failure were conducted to asses the medication compliance and self-management behaviors of the two groups.
Results
Six months after discharge, the compliance level in the MI group was improved than that on admission with a significant difference (P<0.05), while the medication compliance in the control group was not improved significantly compared with that on admission (P>0.05). In the aspect of self-management, there was no significant difference in the control group between 6 months after discharge and on admission time (P>0.05); while the scores of diet management, drug management, symptom management, and psychological and social adjustment in the MI group (12.9±2.5, 16.1±2.8, 17.3±3.1, 17.0±2.4, respectively) were higer than those on admission (9.9±1.9, 13.3±2.7, 13.7±2.6, 12.8±2.2, respectively), with statistically significant differences (P<0.05).
Conclusion
MI can prompt CHF patients to improve medication compliance and the ability of self-management, and adopt a more healthy lifestyle.
ObjectivesTo systematically review the efficacy and safety of ivabradine (IVA) for patients with chronic heart failure (CHF).MethodsPubMed, EMbase, The Cochrane Library, CNKI, WanFang Data and VIP databases were electronically searched to collect randomized controlled trials (RCTs) on the efficacy and safety of IVA for patients with CHF from inception to April, 2019. Two reviewers independently screened literature, extracted data and assessed risk of bias of included studies, then, meta-analysis was performed using Stata 12.0 software.ResultsA total of 22 RCTs involving 2 010 patients were included. The results of meta-analysis showed that, compared with control group, IVA group could decrease heart rate (HR) (WMD=?10.58, 95%CI ?12.47 to ?8.69, P=0.000) and N-terminal probrain natriuretic peptide (NT-proBNP) (WMD=?457.87, 95%CI ?842.63 to ?73.11, P=0.020). IVA group was superior in 6 minutes’ walk distance (6MWD) (WMD=40.49, 95%CI 27.83 to 53.15, P=0.000), left ventricular ejection fraction (LVEF) (WMD=5.11, 95%CI 3.74 to 6.48, P=0.000), left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), left ventricular end-diastolic dimension (LVEDd), left ventricular end-systolic dimension (LVESd) and incidence of endpoint events with significant difference. However, the total effective rate, the incidence of adverse reactions and blood pressures were similar between two groups.ConclusionCurrent evidence shows that IVA could significantly reduce HR, improve cardiac function and exercise tolerance in CHF patients with no significant increase of adverse events. Due to limited quality and quantity of the included studies, more high-quality studies are required to verify above conclusions.
Objective To systematically evaluate the prognostic prediction model for chronic heart failure patients in China, and provide reference for the construction, application, and promotion of related prognostic prediction models. Methods A comprehensive search was conducted on the studies related to prognostic prediction model for Chinese patients with chronic heart failure published in The Cochrane Library, PubMed, EMbase, Web of Science, CNKI, VIP, Wanfang, and the China Biological Medicine databases from inception to March 31, 2023. Two researchers strictly followed the inclusion and exclusion criteria to independently screen literature and extract data, and used the prediction model risk of bias assessment tool (PROBAST) to evaluate the quality of the models. Results A total of 25 studies were enrolled, including 123 prognostic prediction models for chronic heart failure patients. The area under the receiver operating characteristic curve (AUC) of the models ranged from 0.690 to 0.959. Twenty-two studies mostly used random splitting and Bootstrap for internal model validation, with an AUC range of 0.620-0.932. Seven studies conducted external validation of the model, with an AUC range of 0.720-0.874. The overall bias risk of all models was high, and the overall applicability was low. The main predictive factors included in the models were the N-terminal pro-brain natriuretic peptide, age, left ventricular ejection fraction, New York Heart Association heart function grading, and body mass index. Conclusion The quality of modeling methodology for predicting the prognosis of chronic heart failure patients in China is poor, and the predictive performance of different models varies greatly. For developed models, external validation and clinical application research should be vigorously carried out. For model development research, it is necessary to comprehensively consider various predictive factors related to disease prognosis before modeling. During modeling, large sample and prospective studies should be conducted strictly in accordance with the PROBAST standard, and the research results should be comprehensively reported using multivariate prediction model reporting guidelines to develop high-quality predictive models with strong scalability.
Objective To survey the prevalence of coexisting chronic obstructive pulmonary disease ( COPD) and chronic heart failure in Chengdu communities. Methods A cross-sectional study was performed in the population aged over 40 years in eight communities of Chengdu city. The subjects were selected by stratified cluster random sampling. Using the same protocol and questionnaire, all participants underwent medical history taking, physical examination and spirometry. Results Of 354 participating patients with a diagnosis of COPD, 74 ( 20. 90% ) cases were complicated with chronic heart failure. The prevalence of chronic heart failure in COPD in male was significantly higher than that in female ( 22. 69%vs. 18. 12% , P lt; 0. 05) . The major causes of chronic heart failure were hypertension ( 31. 64% ) , ischaemic heart disease ( 18. 93% ) , chronic pulonary heart disease ( 17. 51% ) and diabetes ( 11. 86% ) .Conclusions The prevalence of coexisting COPD and chronic heart failure in Chengdu city is significantly higher than the average level of the whole country, which warrant more attention in prevention and treatment of COPD in communities.
【摘要】 目的 觀察慢性心力衰竭營養支持治療的療效。 方法 將2007年1月〖CD3/5〗2009年10月期間收治的56例慢性心力衰竭住院患者隨機分為常規治療組及強化營養支持治療組,每組28例患者。其中,強化治療組是在常規治療的基礎上,給與強化營養支持治療。比較兩組治療前后6 min步行距離、NYHA心功能評級及射血分數。 結果 治療后,患者6 min步行距離、心功能評級強化營養治療組優于常規治療組。左心室射血分數兩組無差異。 結論 對慢性心力衰竭患者,營養支持治療是重要的治療手段。【Abstract】 Objective To study the efficacy of nutritional support treatment for chronic heart failure. Methods 56 patients with chronic heart failure hospitalized patients were randomly divided into conventional therapy group and enhanced nutritional support therapy group, 28 patients in each group. Where enhenced therapy group is on the basis of conventional therapy to give extra enhanced intensive nutrition support treatment. Before and after treatment were compared sixminutes walking distance, NYHA cardiac function class, ejection fraction, mortality. Results After treatment, patients with sixminutes walking distance, cardiac function class,enhanced nutritional support therapy group is better than conventional treatment group. Left ventricular ejection fraction was no difference. Conclusion Patients with chronic heart failure, nutritional support treatment is an important treatment.
ObjectivesTo systematically assess the efficacy and safety of nitrates for patients with chronic heart failure.
MethodWe searched PubMed, EMbase, Web of Science, The Cochrane Library (Issue 1, 2016), CBM, CNKI, VIP, and WanFang Data to collect randomized controlled trials (RCTs) and cross-over studies about nitrates in the treatment of heart failure from inception to January 4th 2016. Two reviewers independently screened literature, extracted data and evaluated the risk of bias of included studies. Then, meta-analysis was performed by RevMan 5.3 software.
ResultsTen trials were included involving 414 patients (195 patients in the nitrates group and 219 patients in the control group). The results of meta-analysis showed that, compared with the control group, the nitrates group could reduce arterial blood pressure (MD=-1.91, 95%CI -3.66 to -0.16, P=0.03), pulmonary wedge pressure vessels (PCWP) (MD=-2.00, 95%CI -3.84 to -0.15, P=0.03), increase cardiac index (CI) (MD=0.25, 95%CI 0.09 to 0.42, P=0.003), treadmill exercise time (MD=70.14, 95%CI 55.22 to 85.05, P < 0.000 01); but easily emerge side effects (OR=5.21, 95%CI 2.60 to 10.41, P < 0.000 01).
ConclusionCurrent evidence indicates that nitrates treatment could improve the hemodynamic effect, enhance cardiac output and increase exercise tolerance in patients with heart failure.
Objective To cluster the symptoms of patients with chronic heart failure (CHF) through the cluster analysis, and to explore the relationships among symptom clusters of CHF, patients’ self-care behaviors and sleep quality, as well as the pathways influencing sleep quality of CHF patients. Methods A convenience sampling approach was used to provide a questionnaire survey to CHF patients who were being followed up with between January and December 2021. The Pittsburgh Sleep Quality Index, Memorial Symptom Assessment Scale-Heart Failure, European Heart Failure Self- care Behavior Scale and a self-created questionnaire on sociodemographic and clinical data characteristics were all included in the survey. Results A total of 304 CHF patients were included. Among them, there were 178 males and 126 females; the average age was (61.31±14.00) years; the average sleep quality score was (8.17±4.51) points, while the average overall self-care behavior score was (21.28±3.80) points. According to the cluster analysis of the symptoms of CHF patients, the patients’ symptoms were separated into clusters related to exhaustion, disease perception, and a single symptom of dry mouth. The sleep quality score was positively correlated with the following factors: age, number of comorbidities, overall score of symptom assessment, fatigue symptom cluster score, and illness perception symptom cluster score (P<0.05). There was no significant correlation between the self-care behavior score and sleep quality (P>0.05). However, sleep quality scores were negatively correlated with body mass index and education level, respectively (P<0.05). Age, gender, score of illness perception symptom cluster, and fatigue symptom cluster all had direct effects on sleep quality of 0.014, 0.206, 0.487, and 0.165 (P<0.05), respectively, according to path analysis. Self-care behavior also had a direct influence of 0.018 (P=0.686). Conclusions CHF patients have somewhat high levels of self-care behaviors, but they have poor sleep quality. They still have a lot of symptoms after being released. Sleep quality is significantly impacted by the patients’ age, body mass index, educational attainment, number of comorbidities, symptom ratings, fatigue symptom clusters, and disease perception symptom clusters. While the route effects of the patients’ self-care actions are not statistically significant, the age, gender, disease perception, and fatigue symptom cluster scores of CHF patients have a direct impact on the quality of their sleep. By managing the same clusters of symptoms, nursing staff can help patients with CHF feel better. They can also help patients sleep better by adopting practical measures.
ObjectiveTo evaluate the methodological quality of clinical practice guidelines and expert consensus of chronic heart failure domestically and abroad.MethodsPubMed, EMbase, SinoMed, CNKI, WanFang Data, and VIP databases, and related websites were searched to collect guidelines and expert consensus on chronic heart failure published from January 1st, 2011 to December 31st, 2020. Four reviewers evaluated the methodological quality of the guidelines and expert consensus with the AGREE Ⅱ tool after the consistency evaluation training.ResultsA total of 17 studies were included (consisting of 11 English and 6 Chinese studies). The recommended levels were B level (recommend after modification) for 10 studies and C level (not recommended) for 7 studies. The AGREE Ⅱ standardized mean scores for various fields were 69.61% (scope and purpose), 34.20% (stakeholder involvement), 33.13% (rigor of development), 84.53% (clarity and presentation), 42.40% (applicability), and 37.09% (editorial independence). The methodological quality of English guidelines was generally high (level B for 10 and level C for 1), while all scores of Chinese guidelines or consensus in the 6 fields were mostly lower than the average (level C for 6).ConclusionsThe guidelines for the diagnosis and treatment of chronic heart failure requires further improvement in terms of stakeholder involvement and rigor of development. It should develop standards and methods to improve the quality for Chinese guidelines and expert consensus to better serve clinical practice.
