ObjectiveTo investigate the effect of noninvasive positive-pressure ventilation for elderly patients with chronic obstructive pulmonary disease (COPD) combined with left heart failure. MethodsA total of 152 patients (70-85 years old) diagnosed with COPD combined with left heart failure and treated in our hospital between June 2011 and January 2015 were randomly divided into trial group (noninvasive positive-pressure ventilation with routine treatment, n=76) and control group (routine treatment, n=76). Respiratory rate, heart rate, blood pressure, pH, arterial partial pressure of carbon dioxide (PaCO2), arterial partial pressure of oxygen (PaO2) and left ventricular ejection fraction (LVEF) were analyzed and compared between the two groups after treatment. We did t-test to analyze the difference of these indexes between the two groups statistically. ResultsRespiratory rate, heart rate and PaCO2 in both of the two groups after the treatment were significantly lower than those before the treatment (P<0.001), while PaO2 and LVEF in both of the two groups after the treatment were significantly higher than those before the treatment (P<0.001). The systolic pressure and diastolic pressure in both of the two groups after the treatment didn't differ much from those before the treatment (P>0.05). The pH value after the treatment increased only in the trial group compared with that before the treatment (P<0.05). The respiratory rate, heart rate, pH value, PaO2, PaCO2 and LVEF after the treatment in trial group were meliorated compared with those in the control group (P<0.05). ConclusionTreatment with noninvasive positive-pressure ventilation for elderly patients with COPD combined with left heart failure is more efficient than the routine treatment.
Objective To investigate the 30-day mortality risk factors in elderly patients (≥70 years) with heart failure with reduced ejection fraction (HFrEF) after isolated coronary artery bypass grafting (CABG) and to construct a nomogram for predicting mortality risk. Methods A retrospective analysis of elderly HFrEF patients undergoing isolated CABG at Tianjin Chest Hospital from 2010 to 2024. Simple random sampling in R was used to divide the dataset into training and validation sets in a 7 : 3 ratio. The training set was further divided into survivors and non-survivors. Univariate logistic regression was performed to identify differences between groups, followed by multivariate logistic stepwise regression to select independent risk factors for death and to establish a death-risk nomogram, which underwent internal validation. The predictive value of the nomogram was assessed by plotting receiver operating characteristic (ROC) curves, calibration curves, and decision-curve analyses for both the training and validation sets. ResultsA total of 656 patients were included. The training set consisted of 458 patients (survivors 418, deaths 40); the validation set consisted of 198 patients (survivors 180, deaths 18). In the training cohort, univariate analysis showed significant differences between survivors and deaths for creatinine (Cr) level, brain natriuretic peptide (BNP), maximum Cr, intra-aortic balloon pump (IABP) use, assisted ventilation, reintubation, hyperlactatemia, low cardiac output syndrome, and renal failure (P<0.05). After multivariable logistic regression with stepwise selection, five independent risk factors were identified: IABP use (OR=3.391, 95%CI 1.065–11.044, P=0.038), reintubation (OR=15.991, 95%CI 4.269–67.394, P<0.001), hyperlactatemia (OR=8.171, 95%CI 2.057–46.089, P=0.007), Cr (OR=4.330, 95%CI 0.997–6.022, P=0.024), and BNP (OR=1.603, 95%CI 1.000–2.000, P=0.010). Accordingly, a nomogram predicting mortality risk was constructed. The ROC and calibration analyses indicated good predictive value: training set AUC was 0.898 (95%CI 0.831–0.966); validation set AUC 0.912 (95%CI 0.805–1.000). Calibration and decision-curve analyses showed good agreement and clinical utility. Conclusion The nomogram incorporating IABP use, reintubation, hyperlactatemia, creatinine, and BNP provides good predictive value for 30-day mortality after CABG in elderly patients with HFrEF and demonstrates potential clinical utility.
ObjectiveTo systematically review the association of body mass index (BMI) and mortality in chronic heart failure (CHF) pationts.MethodsPubMed, EMbase, The Cochrane Library, CNKI, WanFang Data and VIP databases were electronically searched to collect cohort studies about the association of BMI and mortality in CHF patients from inception to June, 2019. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies, then, meta-analysis was performed by using Stata 12.0 software.ResultsA total of 20 cohort studies involving 91 572 CHF patients were included. The results of meta-analysis showed that, compared to patients with normal weight, underweight individuals were associated with higher mortality (HR=1.48, 95%CI 1.36 to 1.62, P<0.001), whereas overweight (HR=0.86, 95%CI 0.78 to 0.94, P=0.002) and obese (HR=0.78, 95%CI 0.68 to 0.90, P=0.001) patients were associated with lower mortality.ConclusionCurrent evidence shows that underweight is associated with a higher risk of all-cause mortality among patients with CHF, whereas overweight and obese are associated with lower risk of all-cause mortality. 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.
As a global disease, heart failure affects at least 26 million people, and its prevalence is still rising. Besides, the mortality rate and readmission rate remain high. Advanced heart failure is the terminal stage of various heart diseases, and often requires some treatments other than drug intervention, such as heart transplantation which is the gold standard for treatment of heart failure. However, limited by the number of donors, the number of heart transplants in the world has reached a bottleneck. There is a huge gap between the number of patients who need heart transplants and patients who get hearts for survival successfully in reality. With the exploration and development of mechanical circulation support devices for more than half a century, they have become a wonderful treatment for patients with advanced heart failure. This article will introduce the latest progress of mechanical circulatory support devices at home and abroad from the aspects of temporary and long-term devices.
摘要:目的:观察伴有抑郁症状的心力衰竭患者加用黛力新干预的疗效。方法: 65例用Zung抑郁自评量表检测评测诊断为抑郁症并心力衰竭患者,将患者分为黛力新治疗组及对照组,治疗组在常规治疗基础上加用黛力新(2片/d),治疗1个月后再行Zung抑郁自评量表粗分及24项症状统计,同时观察治疗前后患者心功能改善情况。结果: 35例治疗组患者心功能的改善及Zung抑郁自评量表检测粗分及24项症状改善明显优于对照组。〖HTH〗结论〖HTSS〗: 黛力新使心衰患者的抑郁症状很快得到改善,并提高了心力衰竭的疗效。Abstract: Objective: To observe the curative efficacy of deanxit to the patients suffering by heart failure with depression. Methods: Sixtyfive patients who were diagnosed as depression by Zung Selfrating Depression Scale are into deanxit treatment group and control group,and treatment group receive the treatment with two pieces of deanxit everyday besides the conventional therapy.After a month,we count the Zung selfrating depression scale score and study the24 symptoms,at the same time,we observed the change of cardiac function in the patients. Results:The curative efficacy in the treatment group is better than those in the control group with improvement in cardiac function and Zung selfrating depression scale score and the alleviation for 24 symptoms. Conclusion:Deanxit can alleviate symptoms of depression in patients with heart failure soon and increase the efficacy of heart failure.
Objective To report an acute ischemic left ventricular heart failure model of safe, simple, relatively steady, and reproducible in sheep. Methods Fourteen female sheep with a body weight of 36.80±3.43kg were used in this study. Heart failure model was induced by partial occluding the middle left circumflex coronary artery （LCX） combined with pacemaker-induced tachycardia. Hemodynamic measurement was done before and after heart failure, myocardial examination was observed. Results Heart failure model was induced successfully in 10 sheep. Cardiac output dropped from 3.74±0.48L/min to 2.02±0. 51L/min （P〈0. 01）, mean arterial pressure decreased from 116. 10± 14.15 mmHg（1kPa = 7.5mmHg） to 68. 10± 14. 72mmHg （P〈0.01）, central venous pressure rose from 7. 10±2.18mmHg to 10. 70± 3.50 mmHg （P〈0.05）, right ventricular end-diastolic pressure increased from 6.10±3.57mmHg to 9.90±4.41mmHg（P〈0.05）, left atrial pressure increased from 8.10±2.13 mmHg to 12.00± 4.57mmHg （P〈0. 01 ）, and left ventricular end-diastolic pressure increased from 8. 50± 4. 17mmHg to 13.10± 10. 64mmHg（P〉 0. 05）. The myocardial ultrastructure injuries was marked. Conclusions Acute ischemic left ventricular heart failure could be induced by partial occlusion of the middle LCX combined with pacemaker-induced taehyeardia in sheep. This model is simple, easy to manipulate, relatively steady, and reproducible . It may be used for assessing cardiac assist devices.
Patients with acute heart failure (AHF) often experience dyspnea, and monitoring and quantifying their breathing patterns can provide reference information for disease and prognosis assessment. In this study, 39 AHF patients and 24 healthy subjects were included. Nighttime chest-abdominal respiratory signals were collected using wearable devices, and the differences in nocturnal breathing patterns between the two groups were quantitatively analyzed. Compared with the healthy group, the AHF group showed a higher mean breathing rate (BR_mean) [(21.03 ± 3.84) beat/min vs. (15.95 ± 3.08) beat/min, P < 0.001], and larger R_RSBI_cv [70.96% (54.34%–104.28)% vs. 58.48% (45.34%–65.95)%, P = 0.005], greater AB_ratio_cv [(22.52 ± 7.14)% vs. (17.10 ± 6.83)%, P = 0.004], and smaller SampEn (0.67 ± 0.37 vs. 1.01 ± 0.29, P < 0.001). Additionally, the mean inspiratory time (TI_mean) and expiration time (TE_mean) were shorter, TI_cv and TE_cv were greater. Furthermore, the LBI_cv was greater, while SD1 and SD2 on the Poincare plot were larger in the AHF group, all of which showed statistically significant differences. Logistic regression calibration revealed that the TI_mean reduction was a risk factor for AHF. The BR_ mean demonstrated the strongest ability to distinguish between the two groups, with an area under the curve (AUC) of 0.846. Parameters such as breathing period, amplitude, coordination, and nonlinear parameters effectively quantify abnormal breathing patterns in AHF patients. Specifically, the reduction in TI_mean serves as a risk factor for AHF, while the BR_mean distinguishes between the two groups. These findings have the potential to provide new information for the assessment of AHF patients.
ObjectiveTo overview of systematic reviews (SRs) of Yiqi Fumai (YQFM) injection in the treatment of chronic heart failure (CHF). MethodsThe PubMed, Cochrane Library, EMbase, Web of Science, CNKI, CBM and WanFang Data databases were electronically searched to collect SRs of YQFM injection in the treatment of CHF from January 1, 2007 to October 31, 2022. Two reviewers independently screened literature, extracted data and assessed methodological quality, risk of bias, report quality and evidence quality by using AMSTAR-2, ROBIS scale, PRISMA, and GRADE system. ResultsA total of 7 SRs were included. The evaluation results showed that the quality of all SRs was low, a few SRs were assessed as having a low risk of bias, and all SRs were relatively completely reported. A total of 46 results were extracted from the included SRs, including 3 with moderate quality evidence, 12 with low quality evidence and 31 with very low quality evidence. ConclusionYQFM may be an effective and safe treatment, but current evidence quality is low.
Objective To investigate the effects of noninvasive positive pressure ventilation (NPPV) on patients with acute left heart failure. Methods Twenty patients with acute left heart failure diagnosed between September 2013 and July 2014 were randomized into treatment group (n=10) and control group (n=10). Both groups used conventional sedations, diuretics and drugs that strengthened the heart and dilated the vessels, while early use of NPPV was applied in the experimental group. Arterial blood gas analysis [pH value, pressure of arterial carbon dioxide (PaCO2), and pressure of arterial oxygen (PaO2)], heart rate (HR), respiration, duration of Intensive Care Unit (ICU) stay and invasive mechanical ventilation, duration of overall mechanical ventilation, and success case numbers before and two hours after treatment were observed and analyzed. Results For the control group, two hours after treatment, PaO2 was (67.0±8.5) mm Hg (1 mm Hg=0.133 kPa), HR was (124±10) times/min, Respiration was (34±4) times/min, the duration of ICU stay was (6.0±1.1) days, invasive ventilation was for (32.0±3.1) hours, and the total time of mechanical ventilation was (32.0±3.1) hours. Those indexes for the treatment group two hours after treatment were: PaO2, (82.3±8.9) mm Hg; HR, (98±11) times/min; respiration, (24±4) times/min; the duration of ICU stay, (4.0±0.8) days; invasive ventilation time, (16.0±1.3) hours; the total time of mechanical ventilation, (26.0±1.8) hours. All the differences for each index between the two groups were statistically significant (P < 0.05). Conclusion Early application of NPPV can rapidly relieve clinical symptoms and reduce the medical cost for patients with acute left heart failure.