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1.
Card Fail Rev ; 10: e01, 2024.
Article in English | MEDLINE | ID: mdl-38464555

ABSTRACT

Cardiology services within primary care often focus on disease prevention, early identification of illness and prompt referral for diagnosis and specialist treatment. Due to advances in pharmaceuticals, implantable cardiac devices and surgical interventions, individuals with heart failure are living longer, which can place a significant strain on global healthcare resources. Heart failure nurses in a primary care setting offer a wealth of clinical knowledge and expertise across all phases of the heart failure trajectory and are able to support patients, family members and other community services, including general practitioners. This review examines the recently published evidence on the current and potential future practice of heart failure nurses within primary care.

2.
PLoS One ; 19(3): e0300101, 2024.
Article in English | MEDLINE | ID: mdl-38470867

ABSTRACT

BACKGROUND: Patients with heart failure may experience poor quality of life due to a variety of physical and psychological symptoms. Quality of life can improve if patients adhere to consistent self-care behaviors. Patient outcomes (i.e., quality of life) are thought to improve as a result of caregiver contribution to self-care. However, uncertainty exists on whether these outcomes improve as a direct result of caregiver contribution to self-care or whether this improvement occurs indirectly through the improvement of patient heart failure self-care behaviors. AIMS: To investigate the influence of caregiver contribution to self-care on quality of life of heart failure people and explore whether patient self-care behaviors mediate such a relationship. METHODS: This is a secondary analysis of the MOTIVATE-HF randomized controlled trial (Clinicaltrials.gov registration number: NCT02894502). Data were collected at baseline and 3 months. An autoregressive longitudinal path analysis model was conducted to test our hypotheses. RESULTS: We enrolled a sample of 510 caregivers [mean age = 54 (±15.44), 24% males)] and 510 patients [mean age = 72.4 (±12.28), 58% males)]. Patient self-care had a significant and direct effect on quality of life at three months (ß = 0.20, p < .01). Caregiver contribution to self-care showed a significant direct effect on patient self-care (ß = 0.32, p < .01), and an indirect effect on patient quality of life through the mediation of patient self-care (ß = 0.07, p < .001). CONCLUSION: Patient quality of life is influenced by self-care both directly and indirectly, through the mediation of caregiver contribution to self-care. These findings improve our understanding on how caregiver contribution to self-care improves patient outcomes.


Subject(s)
Heart Failure , Quality of Life , Aged , Female , Humans , Male , Middle Aged , Caregivers/psychology , Heart Failure/psychology , Mediation Analysis , Self Care , Adult , Aged, 80 and over , Randomized Controlled Trials as Topic
3.
Adv Clin Exp Med ; 33(3): 309-315, 2024 Mar.
Article in English | MEDLINE | ID: mdl-38530317

ABSTRACT

Prevention and diagnosis of frailty syndrome (FS) in patients with heart failure (HF) require innovative systems to help medical personnel tailor and optimize their treatment and care. Traditional methods of diagnosing FS in patients could be more satisfactory. Healthcare personnel in clinical settings use a combination of tests and self-reporting to diagnose patients and those at risk of frailty, which is time-consuming and costly. Modern medicine uses artificial intelligence (AI) to study the physical and psychosocial domains of frailty in cardiac patients with HF. This paper aims to present the potential of using the AI approach, emphasizing machine learning (ML) in predicting frailty in patients with HF. Our team reviewed the literature on ML applications for FS and reviewed frailty measurements applied to modern clinical practice. Our approach analysis resulted in recommendations of ML algorithms for predicting frailty in patients. We also present the exemplary application of ML for FS in patients with HF based on the Tilburg Frailty Indicator (TFI) questionnaire, taking into account psychosocial variables.


Subject(s)
Frailty , Heart Failure , Humans , Aged , Frailty/diagnosis , Frailty/psychology , Frail Elderly/psychology , Artificial Intelligence , Machine Learning
4.
ESC Heart Fail ; 2024 Mar 22.
Article in English | MEDLINE | ID: mdl-38520086

ABSTRACT

Despite improvements over recent years, morbidity and mortality associated with heart failure (HF) are higher in countries in the Central and Eastern Europe and Baltic region than in Western Europe. With the goal of improving the standard of HF care and patient outcomes in the Central and Eastern Europe and Baltic region, this review aimed to identify the main barriers to optimal HF care and potential areas for improvement. This information was used to suggest methods to improve HF management and decrease the burden of HF in the region that can be implemented at the national and regional levels. We performed a literature search to collect information about HF epidemiology in 11 countries in the region (Bulgaria, Croatia, Czechia, Estonia, Hungary, Latvia, Lithuania, Poland, Romania, Serbia, and Slovenia). The prevalence of HF in the region was 1.6-4.7%, and incidence was 3.1-6.0 per 1000 person-years. Owing to the scarcity of published data on HF management in these countries, we also collected insights on local HF care and management practices via two surveys of 11 HF experts representing the 11 countries. Based on the combined results of the literature review and surveys, we created national HF care and management profiles for each country and developed a common patient pathway for HF for the region. We identified five main barriers to optimal HF care: (i) lack of epidemiological data, (ii) low awareness of HF, (iii) lack of national HF strategies, (iv) infrastructure and system gaps, and (v) poor access to novel HF treatments. To overcome these barriers, we propose the following routes to improvement: (i) establish regional and national prospective HF registries for the systematic collection of epidemiological data; (ii) establish education campaigns for the public, patients, caregivers, and healthcare professionals; (iii) establish formal HF strategies to set clear and measurable policy goals and support budget planning; (iv) improve access to quality-of-care centres, multidisciplinary care teams, diagnostic tests, and telemedicine/telemonitoring; and (v) establish national treatment monitoring programmes to develop policies that ensure that adequate proportions of healthcare budgets are reserved for novel therapies. These routes to improvement represent a first step towards improving outcomes in patients with HF in the Central and Eastern Europe and Baltic region by decreasing disparities in HF care within the region and between the region and Western Europe.

5.
Int J Med Sci ; 21(3): 530-539, 2024.
Article in English | MEDLINE | ID: mdl-38250609

ABSTRACT

Background: Intensive care unit (ICU) patients are at high risk of infection due to multiple invasive procedures, malnutrition, or immunosuppression. The rapid increase in infections with multidrug-resistant organisms (MDRO) during the COVID-19 pandemic caused a dilemma, as the rules of the sanitary regime in ICU rooms were strictly adhered to in the prevailing epidemiological situation. The combat to reduce the number of infections and pathogen transmission became a priority for ICU staff. This study aimed to assess whether eliminating environmental reservoirs and implementing improved procedures for patient care and decontamination and washing equipment in the ICU reduced the incidence of infections caused by MDR strains. Material and methods: The study retrospectively analyzed data in the ICU during the COVID-19 pandemic. The samples were collected based on microbiological culture and medical records in the newly opened ICU (10 stations) and hospital wards where COVID-19 patients were hospitalized. Environmental inoculations were performed during the COVID-19 pandemic every 4-6 weeks unless an increase in the incidence of infections caused by MDR strains was observed. Through microbiological analysis, environmental reservoirs of MDR pathogens were identified. The observation time was divided into two periods, before and after the revised procedures. The relationship between isolated strains of Klebsiella pneumoniae NDM from patients and potential reservoirs within the ICU using ERIC-PCR and dice methods was analyzed. Results: An increased frequency of infections and colonization caused by MDRO was observed compared to the preceding years. A total of 23,167 microbiological tests and 6,985 screening tests for CPE and MRSA bacilli were collected. The pathogen spread was analyzed, and the findings indicated procedural errors. Assuming that the transmission of infections through the staff hands was significantly limited by the restrictive use of personal protective equipment, the search for a reservoir of microorganisms in the environment began. MDR strains were grown from the inoculations collected from the hand-wash basins in the wards and from inside the air conditioner on the ceiling outside the patient rooms. New types of decontamination mats were used in high-risk areas with a disinfectant based on Glucoprotamine. Active chlorine-containing substances were widely used to clean and disinfect surfaces. Conclusions: Infections with MDR strains pose a challenge for health care. Identification of bacterial reservoirs and comprehensive nursing care significantly reduce the number of nosocomial infections.


Subject(s)
COVID-19 , Humans , COVID-19/epidemiology , COVID-19/prevention & control , Drug Resistance, Multiple, Bacterial , Pandemics/prevention & control , Retrospective Studies , Intensive Care Units
6.
Med Sci Monit ; 30: e942031, 2024 Jan 10.
Article in English | MEDLINE | ID: mdl-38196186

ABSTRACT

BACKGROUND Rationing of nursing care (RONC) has been associated with poor patient outcomes and is a growing concern in healthcare. The aim of this systematic study was to investigate the connection between patient safety and the RONC. MATERIAL AND METHODS A thorough search of electronic databases was done to find research that examined the relationship between restricting nurse services and patient safety. The systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Two reviewers (M.L. and A.P.) independently screened the titles and abstracts, and full-text articles were assessed for eligibility. Data were extracted, and a quality assessment was performed using appropriate techniques. RESULTS A total of 15 studies met the inclusion criteria. The studies included in the review demonstrated a correlation between rationing of nursing care and patient safety. The results of these studies revealed that there is an inverse relationship between rationing of nursing care and patient safety. The review found that when nursing care is rationed, there is a higher incidence of falls, medication errors, pressure ulcers, infections, and readmissions. In addition, the review identified that the work characteristics of nurses, such as workload, staffing levels, and experience, were associated with RONC. CONCLUSIONS RONC has a negative impact on patient safety outcomes. It is essential for healthcare organizations to implement effective strategies to prevent the RONC. Improving staffing levels, workload management, and communication amo0ng healthcare providers are some of the strategies that can support this.


Subject(s)
Health Care Rationing , Patient Safety , Humans , Accidental Falls , Communication , Databases, Factual
8.
Article in English | MEDLINE | ID: mdl-38170824

ABSTRACT

AIMS: Many studies show the association between malnutrition and poor prognosis in heart failure (HF) patients. Our research aimed to analyse sex differences in patients with HF with reduced ejection fraction (HFrEF), emphasizing nutritional status and the influence of selected parameters on the prognosis. METHODS AND RESULTS: We enrolled 276 consecutive patients diagnosed with HFrEF. Nutritional status was assessed using Mini Nutritional Assessment (MNA), geriatric nutritional risk index (GNRI), and body mass index (BMI). The mean follow-up period was 564.4 ± 346.3 days. The analysed group included 81.2% of men. The median age was 58, interquartile range (IQR) 49-64 years. Among all patients, almost 60% were classified as NYHA III or IV. Half of the participants were at risk of malnutrition, and 2.9% were malnourished. During follow-up, 72 (26.1%) patients died. The female sex was not associated with a higher occurrence of malnutrition (P = 0.99) or nutritional risk (P = 0.85), according to MNA. Coherently, GNRI scores did not differ significantly between the sexes (P = 0.29). In contrast, BMI was significantly higher in males (29.4 ± 5.3 vs. 25.9 ± 4.7; P < 0.001). Impaired nutritional status assessed with any method (MNA, GNRI, BMI) was not significantly associated with a worse prognosis. In multivariable analysis, NYHA class, lower estimated glomerular filtration rate, higher B-type natriuretic peptide (BNP), higher N-terminal fragment of proBNP, and higher uric acid were independent of sex and age predictors of all-cause mortality. CONCLUSION: There were no sex differences in the nutritional status in the HFrEF patients, apart from lower BMI in females. Impaired nutritional status was not associated with mortality in both men and women.

9.
Eur J Cardiovasc Nurs ; 23(2): 176-187, 2024 Mar 12.
Article in English | MEDLINE | ID: mdl-37226867

ABSTRACT

AIMS: A nutritional status is related to the length of hospitalization and in-hospital mortality of patients with heart failure (HF). The aim of this study is to assess the prognostic impact of nutritional status and body mass index (BMI) on in-hospital mortality among patients with HF relative to their sex. METHODS AND RESULTS: We conducted a retrospective study and analysis of 809 medical records of patients admitted to the Institute of Heart Disease of the University Clinical Hospital in Wroclaw (Poland). Women were statistically significantly older than men (74.67 ± 11.15 vs. 66.76 ± 17.78; P < 0.001). In unadjusted model, significant predictors of the odds of in-hospital mortality for men were underweight (OR = 14.81, P = 0.001) and the risk of malnutrition (OR = 8.979, P < 0.001). In the case of women, none of the traits analysed was significant. In age-adjusted model, significant independent predictors of the odds of in-hospital mortality in the case of men were BMI < 18.5 (OR = 15.423, P = 0.001) and risk of malnutrition (OR = 5.557, P = 0.002). In the case of women, none of the nutritional status traits analysed were significant. In multivariable-adjusted model in men, significant independent predictors of the odds of in-hospital mortality were BMI < 18.5 (OR = 15.978, P = 0.007) compared with having normal body weight and the risk of malnutrition (OR = 4.686, P = 0.015). In the case of women, none of the nutritional status traits analysed were significant. CONCLUSION: Both underweight and the risk of malnutrition are direct predictors of the odds of in-hospital mortality in men, but not in women. The study did not find a relationship between nutritional status and in-hospital mortality in women.


Subject(s)
Heart Failure , Malnutrition , Male , Humans , Female , Nutritional Status , Retrospective Studies , Thinness , Hospital Mortality , Nutrition Assessment
10.
BMC Nurs ; 22(1): 455, 2023 Dec 04.
Article in English | MEDLINE | ID: mdl-38044434

ABSTRACT

BACKGROUND: Implicit rationing of nursing care refers to a situation in which necessary nursing care is not performed to meet all of the patients' needs. PURPOSE: To examine the factors influencing the rationing of nursing care, nurses' assessment of the quality of patient care, and their job satisfaction in Internal Medicine Departments. METHODS: A cross-sectional descriptive study was undertaken. The study included 1164 nurses working in the Internal Medicine Departments in 8 hospitals (Lower Silesia, Poland). The Perceived Implicit Rationing of Nursing Care instrument was used. RESULTS: Respondents rarely ration nursing care, with a mean score of 1.12 (SD = 0.68). The mean score for quality of patient care was 6.99 (SD = 1.92). In contrast, the mean job satisfaction score was 6.07 points (SD = 2.22). The most important predictors of high rates of rationing of nursing care were work experience of 16-20 years (regression parameter: 0.387) and a Bachelor's degree in nursing (regression parameter: 0.139). Nurses' assessment of the quality of patient care ratings were increased by having a Master's degree in nursing (regression parameter: 0.41), and significantly decreased by work experience of 16-20 years (regression parameter: -1.332). Independent predictors of job satisfaction ratings in both univariate and multivariate analysis were Master's degree and long-shift working patterns. CONCLUSION: The factors that influence an increased level of nursing care rationing on medical wards are nurse seniority, exceeding 16 years and female gender. Obtaining a Master's degree in nursing indicates improved nurses' assessment of the quality of patient care.

11.
Article in English | MEDLINE | ID: mdl-38099896

ABSTRACT

Frailty is increasingly recognized as a salient condition in patients with heart failure (HF) as previous studies have determined that frailty is highly prevalent and prognostically significant, particularly in those with advanced HF. Definitions of frailty have included a variety of domains, including physical performance, sarcopenia, disability, comorbidity, and cognitive and psychological impairments, many of which are common in advanced HF. Multiple groups have recently recommended incorporating frailty assessments into clinical practice and research studies, indicating the need to standardize the definition and measurement of frailty in advanced HF. Therefore, the purpose of this consensus statement is to provide an integrated perspective on the definition of frailty in advanced HF and to generate a consensus on how to assess and manage frailty. We convened a group of HF clinicians and researchers who have expertise in frailty and related geriatric conditions in HF, and we focused on the patient with advanced HF. Herein, we provide an overview of frailty and how it has been applied in advanced HF (including potential mechanisms), present a definition of frailty, generate suggested assessments of frailty, provide guidance to differentiate frailty and related terms, and describe the assessment and management in advanced HF, including with surgical and nonsurgical interventions. We conclude by outlining critical evidence gaps, areas for future research, and clinical implementation.

12.
Arch Med Sci ; 19(4): 912-920, 2023.
Article in English | MEDLINE | ID: mdl-37560724

ABSTRACT

Pathological processes associated with ageing increase the risk of cognitive deficits and dementia. Frailty syndrome, also known as weakness or reserve depletion syndrome, may significantly accelerate these pathological processes in the elderly population. Frailty syndrome is characterized by decreased physiological function and neuropsychiatric symptoms, including cognitive decline and depressive states. In people with cardiovascular disease, the risk of frailty is 3 times higher. Frailty syndrome is particularly prevalent in severe heart failure, which increases the risk of mortality, increases hospital readmission, and reduces patients' quality of life. In addition, co-occurrence of cognitive impairment and frailty syndrome significantly increases the risk of dementia and other adverse outcomes, including mortality, in the heart failure population.

13.
J Cardiovasc Nurs ; 2023 Aug 08.
Article in English | MEDLINE | ID: mdl-37550831

ABSTRACT

BACKGROUND: Patients with heart failure experience high symptom burden, which can be mitigated with adequate self-care. Caregiver contribution to self-care has been theorized to improve patient symptom burden. The mediating role of patient self-care in this relationship has not been tested yet. OBJECTIVES: The aim of this study was to test whether (a) caregiver contribution to self-care influences patient self-care, (b) patient self-care influences symptom burden, and (c) patient self-care mediates the relationship between caregiver contribution to self-care and symptom burden. METHODS: In this study, the authors conducted a secondary analysis of the baseline and 3-month data from the MOTIVATE-HF trial, which enrolled 510 dyads (patient with heart failure and caregiver) in Italy. Multigroup confirmatory factor analysis was used to test measurement invariance. Autoregressive longitudinal path analysis with contemporaneous mediation was used to test our hypotheses. RESULTS: On average, caregivers were 54 years old and mainly female, whereas patients were 72.4 years old and mainly male. Better caregiver contribution to self-care maintenance was associated with better patient self-care maintenance (ß = 0.280, P < .001), which, in turn, was associated with lower symptom burden (ß = -0.280, P < .001). Patient self-care maintenance mediated the effect of caregiver contribution to self-care maintenance on symptom burden (ß = -0.079; 95% bias-corrected bootstrapped confidence interval, -0.130 to -0.043). Better caregiver contribution to self-care management was associated with better patient self-care management (ß = 0.238, P = .006). The model significantly accounted for 37% of the total variance in symptom burden scores (P < .001). CONCLUSIONS: This study expands the situation-specific theory of caregiver contribution to heart failure self-care and provides new evidence on the role of caregiver contribution to self-care and patient self-care on symptom burden in heart failure.

14.
Kardiol Pol ; 81(7-8): 824-844, 2023.
Article in English | MEDLINE | ID: mdl-37489831

ABSTRACT

Despite advances in the treatment of heart failure (HF), the rate of hospitalisation for exacerbations of the disease remains high. One of the underlying reasons is that recommended guidelines for the management of HF are still too rarely followed in daily practice. Disease exacerbation requiring inpatient treatment is always afactor that worsens the prognosis, and thus signals disease progression. This is also akey moment when therapy should be modified for HF exacerbation, or initiated in the case of newly diagnosed disease. Inpatient treatment and the peri­discharge period is the time when the aetiology and mechanism of HF decompensation should be established. Therapy should be individualised based on aetiology, HF phenotype, and comorbidities; it should take into account the possibilities of modern treatment. According to the recommendations of the European Society of Cardiology (ESC), patients with HF should receive multidisciplinary management. Cooperation between the various members of the multidisciplinary team taking care of patients with HF improves the efficiency and quality of treatment. This document expands and details the information on the peri­discharge management of HF contained in the 2021 ESC guidelines and the 2022 American Heart Association (AHA)/American College of Cardiology (ACC)/Heart Failure Society of America (HFSA) guidelines.


Subject(s)
Cardiology , Heart Failure , Humans , United States , Poland , Family Practice , Physicians, Family , Patient Discharge , Expert Testimony , Heart Failure/therapy , Heart Failure/diagnosis
15.
J Cardiovasc Nurs ; 2023 May 18.
Article in English | MEDLINE | ID: mdl-37204336

ABSTRACT

BACKGROUND: Better caregiver contribution to self-care in heart failure is associated with better patient outcomes. However, caregiver contribution to self-care is also associated with high anxiety and depression, poor quality of life, and poor sleep in caregivers. It is still unclear whether interventions that encourage caregivers to contribute more to patient self-care might increase caregivers' anxiety and depression and decrease their quality of life and sleep. OBJECTIVE: The aim of this study was to assess the impact of a motivational interview intervention aimed at improving caregiver contribution to self-care in heart failure on caregivers' anxiety, depression, quality of life, and sleep. METHODS: This is a secondary outcome analysis of the MOTIVATE-HF trial. Patients with heart failure and their caregivers were randomized into arm 1 (motivational interview to patients), arm 2 (motivational interview to patients and caregivers), and arm 3 (standard care). Data were collected between June 2014 and October 2018. The article has been prepared following the Consolidated Standards of Reporting Trials checklist. RESULTS: A sample of 510 patient-caregiver dyads was enrolled. Over the year of the study, the levels of anxiety, depression, quality of life, and sleep in caregivers did not significantly change among the 3 arms. CONCLUSIONS: Motivational interview aimed at improving caregiver contribution to self-care does not seem to increase caregiver anxiety and depression, nor decrease their quality of life and sleep. Thus, such an intervention might be safely delivered to caregivers of patients with heart failure, although further studies are needed to confirm our findings.

16.
Sci Rep ; 13(1): 7782, 2023 05 13.
Article in English | MEDLINE | ID: mdl-37179399

ABSTRACT

The prevention and diagnosis of frailty syndrome (FS) in cardiac patients requires innovative systems to support medical personnel, patient adherence, and self-care behavior. To do so, modern medicine uses a supervised machine learning approach (ML) to study the psychosocial domains of frailty in cardiac patients with heart failure (HF). This study aimed to determine the absolute and relative diagnostic importance of the individual components of the Tilburg Frailty Indicator (TFI) questionnaire in patients with HF. An exploratory analysis was performed using machine learning algorithms and the permutation method to determine the absolute importance of frailty components in HF. Based on the TFI data, which contain physical and psychosocial components, machine learning models were built based on three algorithms: a decision tree, a random decision forest, and the AdaBoost Models classifier. The absolute weights were used to make pairwise comparisons between the variables and obtain relative diagnostic importance. The analysis of HF patients' responses showed that the psychological variable TFI20 diagnosing low mood was more diagnostically important than the variables from the physical domain: lack of strength in the hands and physical fatigue. The psychological variable TFI21 linked with agitation and irritability was diagnostically more important than all three physical variables considered: walking difficulties, lack of hand strength, and physical fatigue. In the case of the two remaining variables from the psychological domain (TFI19, TFI22), and for all variables from the social domain, the results do not allow for the rejection of the null hypothesis. From a long-term perspective, the ML based frailty approach can support healthcare professionals, including psychologists and social workers, in drawing their attention to the non-physical origins of HF.


Subject(s)
Frailty , Heart Failure , Humans , Aged , Frailty/diagnosis , Frail Elderly/psychology , Surveys and Questionnaires , Heart Failure/diagnosis , Machine Learning
17.
Patient Prefer Adherence ; 17: 1075-1092, 2023.
Article in English | MEDLINE | ID: mdl-37090183

ABSTRACT

Introduction: Ankylosing spondylitis (AS) is a chronic, progressive disease, often with multiple complications, with periods of exacerbation and remission. The onset of the disease usually affects people under 30 years of age. The disease impairs physical, psychological, and social functioning, leading to disability. Therefore, patients with AS face the challenge of adapting to life with the condition and deteriorating quality of life (QoL). Objective: This study aimed to assess the impact of disease acceptance on quality of life in patients with AS. Material and Methods: The study was conducted in the Department of Rheumatology and Internal Diseases of the University Hospital in Wroclaw among 110 patients (67 men and 43 women) with the diagnosis of AS, aged 20-89 years (M=48.44 years, SD±12.55). The study used the Acceptance of Illness Scale (AIS), the WHOQoL-BREF Quality of Life Scale, and a self-constructed questionnaire of clinical and sociodemographic data. Results: Respondents rated the quality of life as good and moderate (M = 3.49 points, SD=±0.84). The mean AIS score was 27.44 (SD=±8.67). AIS scores are positively correlated with all QoL domains and perception of quality of life and health (p<0.001). The strongest correlation was in the physical domain (r=0.71), while the weakest correlation was observed in the social domain (r=0.329). AIS and QoL measures showed significant relationships with selected sociodemographic data (eg, gender, age, education, and occupational activity) and correlated with selected disease data (eg, type of treatment used, duration of disease, or comorbidities). Conclusion: AIS in patients with AS condition correlated positively with their QoL in all domains. Both disease acceptance and quality of life are influenced by specific sociodemographic and disease-related data. Prevention of complications and the type of treatment for AS (primarily biological treatment) can be essential in improving patients' quality of life.

18.
Eur J Cardiovasc Nurs ; 22(7): e62-e113, 2023 10 19.
Article in English | MEDLINE | ID: mdl-37067252

ABSTRACT

This 2023 update of the Core Curriculum in Cardiovascular Nursing (2015) embraces the formation of the Association of Cardiovascular Nursing and Allied Professionals and reflects the diverse professional backgrounds of our members, including nurses, allied health professionals, and healthcare scientists (in this document referred to collectively as Nurses and Allied Professionals).


Subject(s)
Cardiovascular Nursing , Nurse Clinicians , Nurses , Physicians , Humans , Allied Health Personnel/education , Curriculum , Cardiovascular Nursing/education
19.
Cardiol J ; 30(5): 825-831, 2023.
Article in English | MEDLINE | ID: mdl-37067336

ABSTRACT

Patients with heart failure (HF) are heterogeneous, not only related to comorbidities but also in the presentation of frailty syndrome. Frailty syndrome also affects patients with HF across the lifespan. Frailty in patients with HF has a significant impact on clinical features, diagnosis, management, adverse medical outcomes and costs. In everyday clinical practice, frail patients with HF require an individualized approach, often imposing the need to modify therapeutic decisions. The aim of this review is to illustrate how frailty and multimorbidity in HF can affect therapeutic decisions. The scientific evidence underlying this publication was obtained from an analysis of papers indexed in the PubMed database. The search was limited to articles published between 1990 and July 2022. The search was limited to full-text papers published in English. The database was searched for relevant MeSH phrases and their combinations and keywords including: "elderly, frail"; "frailty, elderly"; "frail older adults"; "frailty, older adults"; "adult, frail older"; "frailty, heart failure"; "frailty, multimorbidity"; "multimorbidity, heart failure"; "multimorbidity, elderly"; "older adults, cardiovascular diseases". In therapeutic decisions regarding patients with HF, additionally burdened with multimorbidity and frailty, it becomes necessary to individualize the approach in relation to optimization and treatment of coexisting diseases, frailty assessment, pharmacological and non-pharmacological treatment and in the implementation of invasive procedures in the form of implantable devices or cardiac surgery.


Subject(s)
Frailty , Heart Failure , Humans , Aged , Frail Elderly , Frailty/diagnosis , Frailty/epidemiology , Heart Failure/epidemiology , Comorbidity
20.
Healthcare (Basel) ; 11(8)2023 Apr 17.
Article in English | MEDLINE | ID: mdl-37107984

ABSTRACT

Disability is associated with lower quality of life and premature death in older people. Therefore, prevention and intervention targeting older people living with a disability is important. Frailty can be considered a major predictor of disability. In this study, we aimed to develop nomograms with items of the Tilburg Frailty Indicator (TFI) as predictors by using cross-sectional and longitudinal data (follow-up of five and nine years), focusing on the prediction of total disability, disability in activities of daily living (ADL), and disability in instrumental activities of daily living (IADL). At baseline, 479 Dutch community-dwelling people aged ≥75 years participated. They completed a questionnaire that included the TFI and the Groningen Activity Restriction Scale to assess the three disability variables. We showed that the TFI items scored different points, especially over time. Therefore, not every item was equally important in predicting disability. 'Difficulty in walking' and 'unexplained weight loss' appeared to be important predictors of disability. Healthcare professionals need to focus on these two items to prevent disability. We also conclude that the points given to frailty items differed between total, ADL, and IADL disability and also differed regarding years of follow-up. Creating one monogram that does justice to this seems impossible.

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