8 research outputs found

    Efficacy of pulmonary artery pressure monitoring in patients with chronic heart failure:a meta-analysis of three randomized controlled trials

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    Aims Adjustment of treatment based on remote monitoring of pulmonary artery (PA) pressure may reduce the risk of hospital admission for heart failure (HF). We have conducted a meta-analysis of large randomized trials investigating this question. Methods A systematic literature search was performed for randomized clinical trials with PA pressure monitoring devices in patients and results with HF. The primary outcome of interest was the total number of HF hospitalizations. Other outcomes assessed were urgent visits leading to treatment with intravenous diuretics, all-cause mortality, and composites. Treatment effects are expressed as hazard ratios, and pooled effect estimates were obtained applying random effects meta-analyses. Three eligible randomized clinical trials were identified that included 1898 outpatients in New York Heart Association functional classes II–IV, either hospitalized for HF in the prior 12 months or with elevated plasma NT-proBNP concentrations. The mean followup was 14.7 months, 67.8% of the patients were men, and 65.8% had an ejection fraction ≤40%. Compared to patients in the control group, the hazard ratio (95% confidence interval) for total HF hospitalizations in those randomized to PA pressure monitoring was 0.70 (0.58–0.86) (P = .0005). The corresponding hazard ratio for the composite of total HF hospitalizations, urgent visits and all-cause mortality was 0.75 (0.61–0.91; P = .0037) and for all-cause mortality 0.92 (0.73–1.16). Subgroup analyses, including ejection fraction phenotype, revealed no evidence of heterogeneity in the treatment effect. Conclusion The use of remote PA pressure monitoring to guide treatment of patients with HF reduces episodes of worsening HF and subsequent hospitalizations.</p

    Predictive value of depression and anxiety for long-term mortality: differences in outcome between acute coronary syndrome and stable angina pectoris

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    Since the early 2000s the treatment of choice for an acute myocardial infarction has moved from thrombolytic therapy to primary PCI (pPCI). As a result, the majority of patients undergoing PCI shifted from stable angina pectoris (SA) to acute coronary syndrome (ACS). Additionally the previously observed association between depression and anxiety and long-term outcome in patients who underwent a PCI may have been changed. The main objective of this study was to investigate the predictive value of depression and anxiety for 10-year mortality, in a cohort with post-PCI patients treated for SA versus patients treated for ACS. This prospective single center cohort consists of a consecutive series of patients (n=528) treated with PCI. At 1month post-PCI, patients completed the Dutch version of the Hospital Anxiety and Depression Scale (HADS). After adjustment for baseline characteristics depression was associated with higher 10-year mortality post-PCI (HR 1.58 95% Confidence Interval [95% CI] 1.04-2.40). In the ACS population no association between depression and 10-year mortality was found (HR 1.05 95% CI 0.62-1.79), in contrast to the SA population (HR 1.97 95% CI 1.09-3.57). After additional adjustment for anxiety, depression was no longer associated with higher mortality. Anxiety at baseline was associated with an increased 10-year mortality rate after PCI. Depression was also associated with higher 10-year mortality, however the association disappeared after additional adjustment for anxiety. This finding was more pronounced in patients presenting with SA as compared to those presenting with ACS, which might be a result of the increasing number of ACS patients treated with pPC

    Feelings of being disabled as a prognostic factor for mortality in men and women post-PCI up to 12 years

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    Background It remains unclear whether feelings of being disabled are a relevant psychological factor that determines long term outcome after percutaneous coronary intervention (PCI). Therefore, we evaluated ‘feelings of being disabled’ as an independent risk factor for mortality 12 years post-PCI. Methods The study population comprised a consecutive series of CAD patients (n = 845) treated with PCI as part of the Taxus-Stent Evaluated At Rotterdam Cardiology Hospital (T-SEARCH) registry. Of these patients n = 646 (age 63 years, 75% male) completed the subscale ‘feelings of being disabled’ of the Heart Patients Psychological Questionnaire (HPPQ), within the first month after PCI. Results At 12 year follow-up, n = 209 patients (32%) died. Of the 162 females n = 73 (45%) experienced high feelings of being disabled (High-FOBD) and of the 484 males, n = 134 (28%) reported high-FOBD. Patients with high feelings of being disabled had a two-fold increased risk of mortality at 12-year follow-up (HR = 1.86, 95% CI = 1.41–2.45). After adjusting, high feelings of being disabled remained a predictor of 12-year mortality (HR = 2.53, 95% CI = 1.30–4.90). Conclusions This study confirms that psychosocial variables like feelings of being disabled influence cardiac morbidity and mortality. Furthermore, there is no difference in mortality between men and women with high feelings of being disabled 12 years post-PCI. It is important that clinicians are aware that PCI-patients who feel disabled have a less favorable survival and that the difference in survival is even greater for women who feel disabled

    A randomised comparison of the effect of haemodynamic monitoring with CardioMEMS in addition to standard care on quality of life and hospitalisations in patients with chronic heart failure : Design and rationale of the MONITOR HF multicentre randomised clinical trial

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    Background: Assessing haemodynamic congestion based on filling pressures instead of clinical congestion can be a way to further improve quality of life (QoL) and clinical outcome by intervening before symptoms or weight gain occur in heart failure (HF) patients. The clinical efficacy of remote monitoring of pulmonary artery (PA) pressures (CardioMEMS; Abbott Inc., Atlanta, GA, USA) has been demonstrated in the USA. Currently, the PA sensor is not reimbursed in the European Union as its benefit when applied in addition to standard HF care is unknown in Western European countries, including the Netherlands. Aims: To demonstrate the efficacy and cost-effectiveness of haemodynamic PA monitoring in addition to contemporary standard HF care in a high-quality Western European health care system. Methods: The current study is a prospective, multi-centre, randomised clinical trial in 340 patients with chronic HF (New York Heart Association functional class III) randomised to HF care including remote monitoring with the CardioMEMS PA sensor or standard HF care alone. Eligible patients have at least one hospitalisation for HF in 12 months before enrolment and will be randomised in a 1:1 ratio. Minimum follow-up will be 1 year. The primary endpoint is the change in QoL as measured by the Kansas City Cardiomyopathy Questionnaire (KCCQ). Secondary endpoints are the number of HF hospital admissions and changes in health status assessed by EQ-5D-5L questionnaire including health care utilisation and formal cost-effectiveness analysis. Conclusion: The MONITOR HF trial will evaluate the efficacy and cost-effectiveness of haemodynamic monitoring by CardioMEMS in addition to standard HF care in patients with chronic HF. Clinical Trial Registration number NTR7672

    A randomised comparison of the effect of haemodynamic monitoring with CardioMEMS in addition to standard care on quality of life and hospitalisations in patients with chronic heart failure: Design and rationale of the MONITOR HF multicentre randomised clinical trial

    No full text
    Background: Assessing haemodynamic congestion based on filling pressures instead of clinical congestion can be a way to further improve quality of life (QoL) and clinical outcome by intervening before symptoms or weight gain occur in heart failure (HF) patients. The clinical efficacy of remote monitoring of pulmonary artery (PA) pressures (CardioMEMS; Abbott Inc., Atlanta, GA, USA) has been demonstrated in the USA. Currently, the PA sensor is not reimbursed in the European Union as its benefit when applied in addition to standard HF care is unknown in Western European countries, including the Netherlands. Aims: To demonstrate the efficacy and cost-effectiveness of haemodynamic PA monitoring in addition to contemporary standard HF care in a high-quality Western European health care system. Methods: The current study is a prospective, multi-centre, randomised clinical trial in 340 patients with chronic HF (New York Heart Association functional class III) randomised to HF care including remote monitoring with the CardioMEMS PA sensor or standard HF care alone. Eligible patients have at least one hospitalisation for HF in 12 months before enrolment and will be randomised in a 1:1 ratio. Minimum follow-up will be 1 year. The primary endpoint is the change in QoL as measured by the Kansas City Cardiomyopathy Questionnaire (KCCQ). Secondary endpoints are the number of HF hospital admissions and changes in health status assessed by EQ-5D-5L questionnaire including health care utilisation and formal cost-effectiveness analysis. Conclusion: The MONITOR HF trial will evaluate the efficacy and cost-effectiveness of haemodynamic monitoring by CardioMEMS in addition to standard HF care in patients with chronic HF. Clinical Trial Registration number NTR7672

    A randomised comparison of the effect of haemodynamic monitoring with CardioMEMS in addition to standard care on quality of life and hospitalisations in patients with chronic heart failure:Design and rationale of the MONITOR HF multicentre randomised clinical trial

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    Background: Assessing haemodynamic congestion based on filling pressures instead of clinical congestion can be a way to further improve quality of life (QoL) and clinical outcome by intervening before symptoms or weight gain occur in heart failure (HF) patients. The clinical efficacy of remote monitoring of pulmonary artery (PA) pressures (CardioMEMS; Abbott Inc., Atlanta, GA, USA) has been demonstrated in the USA. Currently, the PA sensor is not reimbursed in the European Union as its benefit when applied in addition to standard HF care is unknown in Western European countries, including the Netherlands. Aims: To demonstrate the efficacy and cost-effectiveness of haemodynamic PA monitoring in addition to contemporary standard HF care in a high-quality Western European health care system. Methods: The current study is a prospective, multi-centre, randomised clinical trial in 340 patients with chronic HF (New York Heart Association functional class III) randomised to HF care including remote monitoring with the CardioMEMS PA sensor or standard HF care alone. Eligible patients have at least one hospitalisation for HF in 12 months before enrolment and will be randomised in a 1:1 ratio. Minimum follow-up will be 1 year. The primary endpoint is the change in QoL as measured by the Kansas City Cardiomyopathy Questionnaire (KCCQ). Secondary endpoints are the number of HF hospital admissions and changes in health status assessed by EQ-5D-5L questionnaire including health care utilisation and formal cost-effectiveness analysis. Conclusion: The MONITOR HF trial will evaluate the efficacy and cost-effectiveness of haemodynamic monitoring by CardioMEMS in addition to standard HF care in patients with chronic HF. Clinical Trial Registration number NTR7672

    Remote haemodynamic monitoring of pulmonary artery pressures in patients with chronic heart failure (MONITOR-HF):a randomised clinical trial

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    Background: The effect of haemodynamic monitoring of pulmonary artery pressure has predominantly been studied in the USA. There is a clear need for randomised trial data from patients treated with contemporary guideline-directed-medical-therapy with long-term follow-up in a different health-care system. Methods: MONITOR-HF was an open-label, randomised trial, done in 25 centres in the Netherlands. Eligible patients had chronic heart failure of New York Heart Association class III and a previous heart failure hospitalisation, irrespective of ejection fraction. Patients were randomly assigned (1:1) to haemodynamic monitoring (CardioMEMS-HF system, Abbott Laboratories, Abbott Park, IL, USA) or standard care. All patients were scheduled to be seen by their clinician at 3 months and 6 months, and every 6 months thereafter, up to 48 months. The primary endpoint was the mean difference in the Kansas City Cardiomyopathy Questionnaire (KCCQ) overall summary score at 12 months. All analyses were by intention-to-treat. This trial was prospectively registered under the clinical trial registration number NTR7673 (NL7430) on the International Clinical Trials Registry Platform. Findings: Between April 1, 2019, and Jan 14, 2022, we randomly assigned 348 patients to either the CardioMEMS-HF group (n=176 [51%]) or the control group (n=172 [49%]). The median age was 69 years (IQR 61–75) and median ejection fraction was 30% (23–40). The difference in mean change in KCCQ overall summary score at 12 months was 7·13 (95% CI 1·51–12·75; p=0·013) between groups (+7·05 in the CardioMEMS group, p=0·0014, and –0·08 in the standard care group, p=0·97). In the responder analysis, the odds ratio (OR) of an improvement of at least 5 points in KCCQ overall summary score was OR 1·69 (95% CI 1·01–2·83; p=0·046) and the OR of a deterioration of at least 5 points was 0·45 (0·26–0·77; p=0·0035) in the CardioMEMS-HF group compared with in the standard care group. The freedom of device-related or system-related complications and sensor failure were 97·7% and 98·8%, respectively. Interpretation: Haemodynamic monitoring substantially improved quality of life and reduced heart failure hospitalisations in patients with moderate-to-severe heart failure treated according to contemporary guidelines. These findings contribute to the aggregate evidence for this technology and might have implications for guideline recommendations and implementation of remote pulmonary artery pressure monitoring. Funding: The Dutch Ministry of Health, Health Care Institute (Zorginstituut), and Abbott Laboratories
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