Physical Fitness Is Directly Related to Exercise Capacity and Ventilatory Response to Exercise in Men with HFrEF.

Background: Heart failure (HF) patients experience reduced functional fitness level (determining the performance of routine, daily activities) and diminished exercise capacity (linked to more effortful activities). Aim: The aim of the study is to assess this relationship using functional fitness tests compared to peak VO2 and VE/VCO2 slope in the context of exercise capacity and ventilatory response to exercise. Methods: A total of 382 men with stable HFrEF (age: 61 ± 10, NYHA class I/II/III/IV: 16/50/32/2%, LVEF: 30.5 ± 8.3%) underwent cardiopulmonary exercise testing (CPX) and a Senior Fitness Test (SFT). Afterwards, the patients were divided according to the 2capacity with peak VO2 ≥ 18 mL/kg/min, those with higher or lower ventilatory responses (VE/VCO2 slope ≥ 35 vs. <35) to the exercise were compared. Results: Patients who covered shorter distances in the 6 min walking test showed worse results in the functional tests ('stand up and go', 'chair stand' and 'arm curl') and CPX (lower peak VO2, shorter exercise time and higher VE/VCO2 slope). Subjects classified into Class D demonstrated the worst results in all elements of SFT; those in Class A demonstrated the best results. Significant differences that were analogous occurred also between classes B and C. Among the participants who reached peak VO2 ≥ 18 mL/kg/min (n = 170), those with VE/VCO2 slope ≥ 35 were characterized by worse physical fitness as compared to those with VE/VCO2 < 35. Conclusion: Reduced exercise tolerance led to worsening physical function in patients with HFrEF. Moreover, limitations in physical fitness seem to be distinctive for those patients showing excessive ventilatory response to exercise slope VE/VCO2 (≥35). The Senior Fitness Test may be considered as a useful tool for assessing comprehensive functional and clinical status and risk stratification in patients with HFrEF, especially those with extremely low exercise capacity.

Artificial Intelligence in Urooncology: What We Have and What We Expect.

INTRODUCTION: Artificial intelligence is transforming healthcare by driving innovation, automation, and optimization across various fields of medicine. The aim of this study was to determine whether artificial intelligence (AI) techniques can be used in the diagnosis, treatment planning, and monitoring of urological cancers. METHODOLOGY: We conducted a thorough search for original and review articles published until 31 May 2022 in the PUBMED/Scopus database. Our search included several terms related to AI and urooncology. Articles were selected with the consensus of all authors. RESULTS: Several types of AI can be used in the medical field. The most common forms of AI are machine learning (ML), deep learning (DL), neural networks (NNs), natural language processing (NLP) systems, and computer vision. AI can improve various domains related to the management of urologic cancers, such as imaging, grading, and nodal staging. AI can also help identify appropriate diagnoses, treatment options, and even biomarkers. In the majority of these instances, AI is as accurate as or sometimes even superior to medical doctors. CONCLUSIONS: AI techniques have the potential to revolutionize the diagnosis, treatment, and monitoring of urologic cancers. The use of AI in urooncology care is expected to increase in the future, leading to improved patient outcomes and better overall management of these tumors.

A Pilot Study on Standardized In-hospital Education About Heart Failure Conducted During the First Days After Decompensation.

INTRODUCTION: Education addressed to heart failure (HF) patients constitutes an important element of modern comprehensive treatment programs. The present article demonstrates a novel method of standardized in-hospital education addressed to patients admitted due to decompensation in HF. METHODS: This pilot study was conducted among 20 patients [19 men, age 63 ± 16 years, NYHA (Classification according to New York Heart Association) on admission (II/III/IV): 5/25/70%]. Five-day education was based on individual sessions conducted using colorful boards demonstrating selected, highly practical elements of the knowledge about HF management, prepared by experts in HF management (medical doctors, a psychologist, and a dietician). The level of knowledge about HF was measured before and after education, based on a questionnaire prepared by the authors of the boards. RESULTS: All patients experienced an improvement of their clinical status (confirmed by reduced New York Heart Association class and body mass, both P < 0.05). Mini Mental State Exam (MMSE) confirmed that no one demonstrated cognitive impairment. The score reflecting the level of knowledge about HF improved significantly after 5 days of in-hospital treatment accompanied by education (P = 0.0001). CONCLUSIONS: We showed that the proposed model of education addressed to patients with decompensated HF, conducted using colorful boards demonstrating selected, highly practical elements of the knowledge about HF management, prepared by experts in HF management lead to significant increase of HF-related knowledge.

Impact of assisted exercises on skeletal muscle oxygenation levels in men with acutely decompensated heart failure.

BACKGROUND: The complex clinical status of modern day patients hospitalized due to acute heart failure (AHF) results from their advanced age, comorbidities, frailty, heart failure symptoms (including massive swelling of the lower limb), and dramatic reduction of exercise tolerance. Hence, there is a need to implement physiotherapeutic procedures as early as possible, aiming to both accelerate the restoration of clinical stabilization and prevent post-hospital disability. OBJECTIVES: We investigated whether assisted lower limb exercises have an impact on perfusion and oxygenation in skeletal muscle and if they are feasible in patients with AHF. MATERIAL AND METHODS: We examined 34 men (age: 66 ±11 years; left ventricular ejection fraction (LVEF): 34 ±11%; clinical presentation: 31 wet-warm and 3 wet-cold). The intervention (carried out on the 2nd day of hospitalization) included: 1) a 3-minute rest period; 2) an exercise phase (45 repetitions of assisted flexion and extension of the lower limb; and 3) a 10-minute relaxation period. We analyzed blood pressure (BP), heart rate (HR), respiratory rate (RR), tissue oxygenation (reflected by oxygen saturation measured with a pulse oximeter), and changes in peripheral tissue perfusion (reflected by the tissue oxygenation index (TOI) measured with near-infrared spectroscopy (NIRS)). RESULTS: The hemodynamic parameters (both ΔHR and Δsystolic BP) and oxygen saturation did not change (all p > 0.05), whereas the RR declined (p < 0.001). The exercises improved venous outflow (reflected by decreased oxygenated, deoxygenated and total hemoglobin, all p < 0.05) and increased peripheral tissue perfusion, as reflected by the TOI (p < 0.05). The patients reported relief and lack of dyspnea during and after the assisted exercises. CONCLUSIONS: The physiotherapeutic intervention improved both venous outflow and muscle oxygenation in men with AHF. The presented protocol was safe, feasible and well-tolerated, and resulted in relief for the patients. We believe that such procedures might be recommended for the initial period of rehabilitation in this challenging subgroup of patients.

Answering Clinical Questions Using Machine Learning: Should We Look at Diastolic Blood Pressure When Tailoring Blood Pressure Control?

Background: The guidelines recommend intensive blood pressure control. Randomized trials have focused on the relevance of the systolic blood pressure (SBP) lowering, leaving the safety of the diastolic blood pressure (DBP) reduction unresolved. There are data available which show that low DBP should not stop clinicians from achieving SBP targets; however, registries and analyses of randomized trials present conflicting results. The purpose of the study was to apply machine learning (ML) algorithms to determine, whether DBP is an important risk factor to predict stroke, heart failure (HF), myocardial infarction (MI), and primary outcome in the SPRINT trial database. Methods: ML experiments were performed using decision tree, random forest, k-nearest neighbor, naive Bayesian, multi-layer perceptron, and logistic regression algorithms, including and excluding DBP as the risk factor in an unselected and selected (DBP < 70 mmHg) study population. Results: Including DBP as the risk factor did not change the performance of the machine learning models evaluated using accuracy, AUC, mean, and weighted F-measure, and was not required to make proper predictions of stroke, MI, HF, and primary outcome. Conclusions: Analyses of the SPRINT trial data using ML algorithms imply that DBP should not be treated as an independent risk factor when intensifying blood pressure control.

Patterns of Locus of Control in People Suffering from Heart Failure: An Approach by Clustering Method.

Background and Objectives: The assumption of responsibility in dealing with chronic diseases is of relevance in a resource-oriented and not only deficit-oriented medicine, especially in dealing with chronic diseases, including patients with chronic heart failure. The aim of the present study is to examine, based on the model of "locus of control", whether there are different patterns that would be relevant for a more targeted education and support of self-management in dealing with heart failure. Materials and Methods: For this purpose, a sample (n = 758) from 11 Polish cardiology centers have been assessed using the standardized self-assessment scale Multidimensional Health Locus of Control (MHLC), consisting of three dimensions: (i) internal localization of health control; (ii) external control by powerful others; (iii) external control by chance. Results: Using these three criteria, nine different clusters were extracted (mean size: 84 ± 33 patients, min 31, max 129). Three clusters included over 100 patients, whereas only two included less than 50 people. Only one cluster gathered 42 patients who will be able to cooperate with professionals in the most fruitful way. There were two clusters, including patients with beliefs related to the risk of ignoring professional recommendations. Clusters where patients declared beliefs about others' control with low internal control should also be provided with specific help. Conclusions: The division into clusters revealed significant variability of belief structures about health locus of control within the analyzed group. The presented methodological approach may help adjust education and motivation to a selected constellation of beliefs as a compromise between group-oriented vs. individual approach.

Machine Learning Approach to Understand Worsening Renal Function in Acute Heart Failure.

Acute heart failure (AHF) is a common and severe condition with a poor prognosis. Its course is often complicated by worsening renal function (WRF), exacerbating the outcome. The population of AHF patients experiencing WRF is heterogenous, and some novel possibilities for its analysis have recently emerged. Clustering is a machine learning (ML) technique that divides the population into distinct subgroups based on the similarity of cases (patients). Given that, we decided to use clustering to find subgroups inside the AHF population that differ in terms of WRF occurrence. We evaluated data from the three hundred and twelve AHF patients hospitalized in our institution who had creatinine assessed four times during hospitalization. Eighty-six variables evaluated at admission were included in the analysis. The k-medoids algorithm was used for clustering, and the quality of the procedure was judged by the Davies-Bouldin index. Three clinically and prognostically different clusters were distinguished. The groups had significantly (p = 0.004) different incidences of WRF. Inside the AHF population, we successfully discovered that three groups varied in renal prognosis. Our results provide novel insight into the AHF and WRF interplay and can be valuable for future trial construction and more tailored treatment.

The relationship between knowledge about the pandemic and willingness to get vaccinated against SARS-CoV-2 in medical students in Poland: A cross-sectional survey.

The COVID-19 pandemic underlines the importance of targeting the groups with the highest risk of vaccine hesitancy, understanding their fears, and alleviating them. As the pandemic situation is very dynamic due to the appearance of new SARS-CoV-2 variants, concerns might also change over time. This is the first study to evaluate the vaccination rate and state of knowledge among medical students in Poland, comparing English and Polish divisions. We collected the data in 2 months. A total of 1,521 surveys were collected as follows: 273 students from the English division and 1,248 students from the Polish division answered the survey. The questionnaire was aimed at investigating students' awareness, knowledge, and apprehensions toward the COVID-19 pandemic and vaccines. The results were obtained for the following statements: good knowledge about ways of transmission is not statistically significant in determining if a student is vaccinated. Moreover, a year of study is not statistically significant in determining if a student knows all ways of COVID-19 transmission. Interestingly, the correlation between the statement "Keeping up to date with the upcoming vaccines is important for my role as a future health care worker" and being vaccinated against SARS-CoV-2 showed that 45.5% of unvaccinated students did not update their information about the vaccines and rated 1 out of 5 for this statement (p < 0.001). Even though the pandemic will not last forever, the obtained knowledge about the role of individual interests can be applied in many different life situations as this feature is statistically significant.

An Artificial Intelligence Approach to Guiding the Management of Heart Failure Patients Using Predictive Models: A Systematic Review.

Heart failure (HF) is one of the leading causes of mortality and hospitalization worldwide. The accurate prediction of mortality and readmission risk provides crucial information for guiding decision making. Unfortunately, traditional predictive models reached modest accuracy in HF populations. We therefore aimed to present predictive models based on machine learning (ML) techniques in HF patients that were externally validated. We searched four databases and the reference lists of the included papers to identify studies in which HF patient data were used to create a predictive model. Literature screening was conducted in Academic Search Ultimate, ERIC, Health Source Nursing/Academic Edition and MEDLINE. The protocol of the current systematic review was registered in the PROSPERO database with the registration number CRD42022344855. We considered all types of outcomes: mortality, rehospitalization, response to treatment and medication adherence. The area under the receiver operating characteristic curve (AUC) was used as the comparator parameter. The literature search yielded 1649 studies, of which 9 were included in the final analysis. The AUCs for the machine learning models ranged from 0.6494 to 0.913 in independent datasets, whereas the AUCs for statistical predictive scores ranged from 0.622 to 0.806. Our study showed an increasing number of ML predictive models concerning HF populations, although external validation remains infrequent. However, our findings revealed that ML approaches can outperform conventional risk scores and may play important role in HF management.

Novel Phenotyping for Acute Heart Failure-Unsupervised Machine Learning-Based Approach.

Acute heart failure (AHF) is a life-threatening, heterogeneous disease requiring urgent diagnosis and treatment. The clinical severity and medical procedures differ according to a complex interplay between the deterioration cause, underlying cardiac substrate, and comorbidities. This study aimed to analyze the natural phenotypic heterogeneity of the AHF population and evaluate the possibilities offered by clustering (unsupervised machine-learning technique) in a medical data assessment. We evaluated data from 381 AHF patients. Sixty-three clinical and biochemical features were assessed at the admission of the patients and were included in the analysis after the preprocessing. The K-medoids algorithm was implemented to create the clusters, and optimization, based on the Davies-Bouldin index, was used. The clustering was performed while blinded to the outcome. The outcome associations were evaluated using the Kaplan-Meier curves and Cox proportional-hazards regressions. The algorithm distinguished six clusters that differed significantly in 58 variables concerning i.e., etiology, clinical status, comorbidities, laboratory parameters and lifestyle factors. The clusters differed in terms of the one-year mortality (p = 0.002). Using the clustering techniques, we extracted six phenotypes from AHF patients with distinct clinical characteristics and outcomes. Our results can be valuable for future trial constructions and customized treatment.

Tablet-Based Assessment of Cognitive Function Among Heart Failure Patients.

BACKGROUND: Cognitive impairment accompanying heart failure (HF) is an additional HF comorbidity, which may potentially affect the patient's self-care and compliance. We aimed to assess cognitive function (CF) using an application with games created as a cognitive training tool for children and adults, applied using a tablet, and to compare the results obtained by HF patients with the results obtained by healthy age-matched controls. METHODS: A total of 69 individuals (49 HF patients and 10 healthy controls) were assessed using 4 games dedicated to measuring cognitive skills as well as questionnaires regarding their socioeconomic status. Additionally, HF patients were asked about their quality of life and anxiety and depression. RESULTS: HF patients demonstrated worse results in each game assessing their cognitive functions as compared to the healthy age-matched controls, which is consistent with the previous studies on CF in HF. We have also noticed interesting patterns of relations between CF and sleep and education. CONCLUSIONS: We have demonstrated that information and communication technology devices can be successfully applied as feasible tools for cognitive assessment in the HF population. This is important as tablet-based CF assessment can be done on a large population without the involvement of trained personnel.

Heart Failure Care: Testing Dyadic Dynamics Using the Actor-Partner Interdependence Model (APIM)-A Scoping Review.

Self-care behaviors are essential for the effective treatment of heart failure (HF), and poor self-care may lead to adverse clinical events in patients with HF. A growing body of literature addresses the need to analyze the characteristics of both patient and caregiver since they are in mutual, long-term interaction, and their reactions to events are dependent on each other. One of the most common approaches for analyzing data on HF self-care dyads is the Actor-Partner Interdependence Model (APIM). The purpose of this study was to conduct a scoping review to answer the following question: what did we learn from HF dyadic studies based on the APIM approach? Medline, Academic Search Ultimate, and CINAHL Complete databases were searched, using the terms "dyad," "dyadic," and "heart failure," for studies published between 2009 and April 2021. Fifteen studies were reviewed from a pool of 106 papers. Studies using the APIM approach revealed interrelated patient and caregiver characteristics that influence self-care and explain many complex dyadic behaviors. Our analysis provided evidence that (1) APIM is a useful analytical approach; (2) a family-oriented approach can improve the functioning of a patient with HF; and (3) social support from caregivers significantly enhances patients' adaptation to illness.

Seat belts-related behaviors in car drivers with cardiac implantable electronic devices.

BACKGROUND: Seat belt use is the single most effective means of reducing fatal injuries in road traffic accidents. The presence of a cardiac implantable electronic device (CIED) might influence seat belt-related behaviors due to the physical proximity of the seat belt and left subclavian area in which the device is usually implanted. Understanding the underlying mechanisms of improper seat belt use may improve safety of these patients. METHODS: We performed a prospective study using a structured questionnaire with 120 CIED recipients (age, 63.9 ± 10.9 years) attending a pacing outpatient clinic. All study participants were active drivers and predominantly male. The majority of patients (79%) had undergone high-energy device implantation. RESULTS: We found that 18% of study participants do not fasten seat belts on a regular basis or use the seat belt in an atypical fashion (such as under the armpit). Moderate or high level of discomfort from the interaction between seat belt and CIED was present in 27%, while more than half (51%) were afraid of seat belt-induced CIED damage. In multifactorial analysis, we found the following independent predictors of improper seat belt use: (1) at least moderate level of discomfort at the CIED site (P = 0.02); (2) fear of CIED damage (P = 0.009); and (3) irregular seat belt use prior to CIED implantation (P = 0.037). CONCLUSIONS: Improper seat belt-related behaviors are common in CIED recipients. They arise from previous habits and from CIED-related physical and psychological factors. Patients' education regarding the importance and safety of proper seat belt use is a priority.

Assessment of baroreflex sensitivity has no prognostic value in contemporary, optimally managed patients with mild-to-moderate heart failure with reduced ejection fraction: a retrospective analysis of 5-year survival.

OBJECTIVES: We evaluated the prognostic value of cardiac baroreflex sensitivity (BRS) in contemporary, optimally treated patients with mild-to-moderate heart failure with reduced ejection fraction (HFrEF). METHODS AND RESULTS: Data from 97 patients with HFrEF (left ventricular ejection fraction 32 ± 6%, all receiving angiotensin-converting enzyme inhibitor/angiotensin receptor blocker and beta-blocker, 85% receiving aldosterone antagonist) were analysed retrospectively. All patients underwent standard clinical assessment, cardiopulmonary exercise testing and BRS evaluation with three methods: the phenylephrine (BRS-Phe), the sequence (BRS-Seq) and the controlled breathing (BRS-CtrBr) method. Data on 5-year all-cause mortality and appropriate and documented implantable cardioverter-defibrillator (ICD) discharges were collected. During a mean follow-up of 53 ± 15 months, the composite endpoint of all-cause death and appropriate and documented ICD discharge occurred in 31 (32%) patients. BRS measures assessed using all three methods were not related to survival in univariate Cox proportional hazards analyses (all P >0.25). There were also no differences in survival between low vs. preserved BRS groups, irrespective of the method used for BRS assessment (all P ≥0.15). BRS-Phe correlated with several clinically important variables (including left ventricular ejection fraction: rS = 0.27, and peak oxygen consumption: rS = 0.32, both P < 0.05), while clinical associations of BRS-Seq and BRS-CtrBr were sparse. CONCLUSIONS: Assessment of cardiac BRS provides no prognostic information in the contemporary mild-to-moderate HFrEF population receiving optimal management.

Evaluation of Skeletal Muscle Function and Effects of Early Rehabilitation during Acute Heart Failure: Rationale and Study Design.

BACKGROUND: Acute heart failure (AHF) is associated with disturbances of the peripheral perfusion leading to the dysfunction of many organs. Consequently, an episode of AHF constitutes a "multiple organ failure" which may also affect the skeletal muscles. However, the abnormalities within skeletal muscles during AHF have not been investigated so far. The aim of this project is to comprehensively evaluate skeletal muscles (at a functional and tissue level) during AHF. METHODS: The study will include ≥63 consecutive AHF patients who will be randomized into 2 groups: ≥42 with cardiac rehabilitation group versus ≥21 with standard pharmacotherapy alone. The following tests will be conducted on the first and last day of hospitalization, at rest and after exercise, and 30 days following the discharge: clinical evaluation, medical interview, routine physical examination, echocardiography, and laboratory tests (including the assessment of NT-proBNP, inflammatory markers, and parameters reflecting the status of the kidneys and the liver); hemodynamic evaluation, noninvasive determination of cardiac output and systemic vascular resistance using the impedance cardiography; evaluation of biomarkers reflecting myocyte damage, immunochemical measurements of tissue-specific enzymatic isoforms; evaluation of skeletal muscle function, using surface electromyography (sEMG) (maximum tonus of the muscles will be determined along with the level of muscular fatigability); evaluation of muscle tissue perfusion, assessed on the basis of the oxygenation level, with noninvasive direct continuous recording of perfusion in peripheral tissues by local tissue oximetry, measured by near-infrared spectroscopy (NIRS). RESULTS AND CONCLUSIONS: Our findings will demonstrate that the muscle tissue is another area of the body which should be taken into consideration in the course of treatment of AHF, requiring a development of targeted therapeutic strategies, such as a properly conducted rehabilitation.

Men With a Terminal Illness Relax Their Criteria for Facial Attractiveness.

According to the life history paradigm, in life-threatening conditions, sexual selection criteria are relaxed in order to increase the probability of a last resort reproduction, ultimately contributing to reproductive success. This should be reflected in loosened mating preferences - a process observed in nonhuman animals. Studies investigating this aspect in humans, however, are scarce. This study explored the aesthetic preferences towards facial and nonfacial stimuli in terminally ill patients with heart failure (HF) and their healthy, same-sex peers. The aim was to examine if these two groups of men demonstrate different patterns of aesthetic judgments. Using a 7-point scale, 65 male patients with HF and 143 healthy men evaluated the perceived attractiveness of 15 photographs (five adult male faces, five adult female faces, and five nonfacial pictures). A mixed-design analysis of variance was run to assess group differences in aesthetic preferences. Compared to healthy controls, stimuli. HF patients rated the pictures using significantly higher scores, but this applied only to male and female, but not nonfacial, stimuli. We propose that lower criteria for facial attractiveness in HF patients are linked to relaxation of mate preferences as a result of a life-threatening conditions, and that this process can be an adaptive mating strategy from an ultimate, evolutionary perspective. However, other mechanisms (e.g., seeking social support) may be also responsible for the observed patterns.

Female perception of a partner's mate value discrepancy and controlling behaviour in romantic relationships.

Mate value discrepancy (MVD) between heterosexual partners is an important factor influencing relationship satisfaction which, in turn, has an effect on the quality and the stability of the relationship. Therefore, partners' involvement in mate retention behaviours, such as controlling behaviours, can be related to MVD and our study aims to determine whether such an association exists. In order to do so, we analysed female perception of MVD and their opinion regarding the intensity of controlling behaviours performed by themselves as well as their romantic partners. Female perception of the intensity of controlling behaviours performed by both partners was the highest in couples where a woman assesses her own mate value (MV) as higher than her partner's MV and significantly different than in relationships where male MV exceeded those of the female. Our study also indicates that MVD should be taken into account when analysing sex differences in intensities of mate retention behaviours. Finally, we provide evidence supporting the significance of the relationship length for controlling behaviour intensity. Findings are discussed within an evolutionary perspective.

Non-invasive approach for the assessment of sympathetic baroreflex function: A feasibility study.

BACKGROUND: Evaluation of sympathetic baroreflex (sBR) function in humans requires intra-neural recording of muscle sympathetic nerve activity (MSNA) by microneurography. AIMS: We proposed noninvasive approach for the evaluation of sBR function by applying the threshold-analysis (traditionally, based on MSNA) to systemic vascular resistance (SVR) measurement by photoplethysmography. METHODS & RESULTS: In nine healthy subjects (5M; age: 25±5y), the threshold-analysis was calculated twice: using MSNA and SVR. Both methods yield comparable results in men (T50(burst-vs.-svr): CV=8.8%, r>0.9; Slope(burst-svr): CV=30.1%; r>0.9), but not in women. CONCLUSIONS: SVR-based threshold-analysis is feasible in healthy young subjects and provides a promising alternative to the traditional MSNA-based approach.

Direction of the Relationship Between Acceptance of Illness and Health-Related Quality of Life in Chronic Heart Failure Patients.

BACKGROUND: This study provides an in-depth insight into the relationships between illness acceptance and health-related quality of life (HRQoL) of chronic heart failure (CHF) patients. Although HRQoL is a well-established endpoint in CHF, little is known on illness acceptance in this group. AIMS: The aim of this study is to critically reconsider the direction of a relationship between HRQoL and illness acceptance in CHF patients. METHODS: The study included 204 patients (160 men and 44 women; mean age, 63 ± 11 years) with at least 6-month clinical evidence of CHF corresponding to New York heart Association (NYHA) classes I to IV. All the patients were examined with the Minnesota Living With Heart Failure Questionnaire (MLHFQ) and Acceptance of Illness Scale (AIS). RESULTS: Univariate analysis showed that the level of illness acceptance correlated inversely with patient age, and the level of HRQoL decreased with the severity of CHF (NYHA class). A relationship between illness acceptance and HRQoL was analyzed by structural equation modeling. Model 1 was based on the assumption that HRQoL is modulated by illness acceptance, and model 2 tested the opposite relationship. Both models included patient age and NYHA class as extrinsic determinants of AIS and MLHFQ scores, respectively. Model 2 proved to be well fitted (χ [df = 2] = 3.22, P = .20, root-mean-square error of approximation = 0.055). Scores on the AIS correlated inversely with age (bage->AIS = -0.15, SE = 0.05, P = .002) and HRQoL (bQoL->AIS = -0.15, SE = 0.02, P < .001), and an increase in NYHA class was reflected by an increase in HRQoL scores (bNYHA->QoL = 5.75, SE = 1.97, P = .004). CONCLUSION: Patients with CHF may not accept their disease due to deteriorated HRQoL. As a result, they may be uninvolved in the therapeutic process, which leads to exacerbation of CHF, further deterioration of HRQoL, and inability to accept the illness.

Central Chemoreceptor Sensitivity Is Not Enhanced in Contemporary Patients With Chronic Systolic Heart Failure Receiving Optimal Treatment.

BACKGROUND: Clinical and prognostic consequences of enhanced central chemosensitivity in the contemporary optimally treated patients with chronic heart failure (CHF) are unknown. METHODS AND RESULTS: We studied central chemosensitivity (defined as hypercapnic ventilatory response [HCVR; L/min/mmHg]) in 161 CHF patients (mean left ventricular ejection fraction [LVEF] 31 ± 6%, all receiving a combination of angiotensin-converting enzyme inhibitor/angiotensin receptor blocker and beta-blocker) and 55 sex- and age-matched healthy controls. HCVR did not differ between CHF patients and controls (median 0.63 vs 0.57 L/min-1/mmHg-1, P = .76). When the CHF patients were divided into tertiles according to their HCVR values, there were no significant differences in clinical characteristics (except for ischemic etiology, which was more frequent in those with the highest HCVR), results of the cardiopulmonary exercise testing, and indices of heart rate variability. During the follow-up (median 28 months, range 1-48 months, ≥15 months in all survivors), 21 patients died. HCVR was not related to survival in the Cox proportional hazards analysis. CONCLUSIONS: Central chemosensitivity is not enhanced in contemporary, optimally treated CHF patients and its assessment does not provide significant clinical or prognostic information.