What the General Practitioner Needs to Know About Their Chronic Heart Failure Patient.
Ontology highlight
ABSTRACT: In this article we highlight what general practitioners (GPs) need to know about heart failure (HF). We pay attention to its definition, diagnosis - with risks of under- and over-diagnosis - and the role natriuretic peptides, electrocardiography, echocardiography, but also spirometry. We stress the role of the GP in case finding and risk stratification with optimisation of cardiovascular drug use in high-risk groups. Epidemiological data are provided, followed by discussion of the management aspects and possibilities of cooperative care of patients with chronic HF, focussing on pharmacological treatment, comorbidities and end-of-life care. This article highlights the experience and clinical practice of the authors: specifics of local heart failure management, and the role of the GP, will naturally vary.
Project description:Control banding (CB) has been widely recommended for the selection of exposure controls for engineered nanomaterials (ENMs) in the absence of ENM-specific occupational exposure limits (OELs). Several ENM-specific CB strategies have been developed but have not been systematically evaluated. In this article, we identify the data inputs and compare the guidance provided by eight CB tools, evaluated on six ENMs, and assuming a constant handling/use scenario. The ENMs evaluated include nanoscale silica, titanium dioxide, silver, carbon nanotubes, graphene, and cellulose. Several of the tools recommended the highest level of exposure control for each of the ENMs in the evaluation, which was driven largely by the hazard banding. Dustiness was a factor in determining the exposure band in many tools, although most tools did not provide explicit guidance on how to classify the dustiness (high, medium, low), and published data are limited on this topic. The CB tools that recommended more diverse control options based on ENM hazard and dustiness data appear to be better equipped to utilize the available information, although further validation is needed by comparison to exposure measurements and OELs for a variety of ENMs. In all CB tools, local exhaust ventilation was recommended at a minimum to control exposures to ENMs in the workplace. Generally, the same or more stringent control levels were recommended by these tools compared with the OELs proposed for these ENMs, suggesting that these CB tools would generally provide prudent exposure control guidance, including when data are limited.
Project description:BackgroundGeneral practitioners (GPs) have an increasing role in referring patients with putative mutation in BRCA1/2 genes for genetics consultation and for long-term follow-up of mutation carriers.MethodsWe compared the expectations of the GPs' role according to BRCA1/2 mutation carriers and to GPs themselves.ResultsOverall, 38% (58/152) of eligible GPs and 70% (176/252) of eligible patients were surveyed. Although 81% of GPs collected the family history, only 24% considered that they know criteria indicating genetics consultation and 39% sufficient knowledge of BRCA1/2 guidelines to answer patients' questions. Twelve% of GPs were aware of the French national guidelines. Among unsatisfied patients, 40% felt that their GP was able to answer (moderately, sufficiently, or completely) specific questions about BRCA1/2 care as compared with 81% in satisfied patients. Only 33% of GPs reported being informed directly by the geneticist about the patients' results. GPs' main expectations for their role in BRCA1/2 carrier care were psychological support and informing relatives about screening (72% and 71%, respectively), which contrasts with the perceptions of patients, who mainly requested medical advice for BRCA1/2-related care (51%).ConclusionThere is an important need for GP training and enhancing interactions between GPs and geneticists to improve the GP's role in BRCA1/2 screening and management.
Project description:Background Pharmacologic management of heart failure with reduced ejection fraction (HFrEF) involves several medications. Decision aids informed by patient decisional needs and treatment preferences could assist in making HFrEF medication choices; however, these are largely unknown. Methods We searched MEDLINE, Embase, and the Cumulative Index to Nursing and Allied Health Literature (CINAHL), without language restriction, for qualitative, quantitative, and mixed-method studies that included patients with HFrEF or clinicians providing HFrEF care, and reported data on decisional needs or treatment preferences applicable to HFrEF medications. We classified decisional needs using a modified version of the Ottawa Decision Support Framework (ODSF). Results From 3996 records, we included 16 reports describing 13 studies (n = 854). No study explicitly assessed ODSF decisional needs; however, 11 studies reported ODSF-classifiable data. Patients commonly reported having inadequate knowledge or information, and difficult decisional roles. No study systematically assessed treatment preferences, but 6 studies reported on attribute preferences. Reducing mortality and improving symptoms frequently were ranked as being important, whereas cost importance rankings varied, and adverse events generally were ranked as being less important. Conclusion This scoping review identified key decisional needs regarding HFrEF medications, notably inadequate knowledge or information, and difficult decisional roles, which can readily be addressed by decision aids. Future studies should systematically explore the full scope of ODSF-based decisional needs in patients with HFrEF, along with relative preferences among treatment attributes to further inform development of individualized decision aids. Graphical abstract
Project description:Cushing's syndrome is a rare entity, and a high index of suspicion is needed for screening in a primary care setting. The clinical awareness of the primary care physician (PCP) to the highly indicative signs and symptoms such as facial plethora, proximal myopathy, reddish purple striae, and easy bruisability should alert him to look for biochemical evidence of Cushing's syndrome through any of the first-line screening tests, namely, 24-hour urinary free cortisol, overnight dexamethasone suppression test, or late-night salivary cortisol. Commonly used random cortisol measurements are unreliable; hence, general practitioners are encouraged to understand the use of these more reliable tests with increased sensitivity and specificity for screening Cushing's syndrome. In this write-up, we set out to increase awareness about the presentation of Cushing's syndrome and current recommended screening methods as well as their strengths and weaknesses. We relied mainly on the recommendations by the Endocrine Society Guidelines.
Project description:BACKGROUND:Chronic heart failure (CHF) is the most common reason for hospital admissions in Germany. For the National Disease Management Guideline (NDMG) on CHF, a multidisciplinary expert panel revised the chapters on drug therapy, invasive therapy, and care coordination, following the methods of evidence-based medicine. METHODS:Recommendations are based on international guideline adaptations or systematic literature search. They were developed by a multidisciplinary expert panel, approved in a formal consensus procedure, and tested in open consultation, as specified by the requirements for S3 guidelines. RESULTS:The pharmacological treatment is based on ACE inhibitors, beta-blockers and mineralocorticoid receptor antagonists as well as diuretics to treat fluid retention, if present. Sacubitril/Valsartan and ivabradine showed positive effects on mortality in large but methodologically limited RCT. They are recommended if established combination therapy is not sufficient for symptom control, or if drugs are not tolerated/contraindicated. The indications for pacemakers or defibrillators have been confined to patient subgroups in which clinical trials have shown a clear benefit. Moreover, the goals of treatment and the patient's expectations should be aligned with each other. Structured care programs, specialized nurses, remote, or telephone monitoring showed moderate effects on patient related outcomes in RCT. CONCLUSION:All patients with heart failure are suggested to be enrolled in a structured program (e.g., a disease management program) including coordinated multidisciplinary care and continuous educational interventions. In patients with a poor prognosis, more intensive care is recommended, e.g. specialized nurses, or telephone support.
Project description:The Care-Related Quality of Life survey for Chronic Heart Failure (CaReQoL CHF) is a newly developed patient-reported outcome measure (PROM) that measures care-related quality of life in patients diagnosed with chronic heart failure. This study describes the psychometric properties of the questionnaire and its relationship with disease severity and global rating of quality of care.Insurance companies selected patients with a recorded diagnosis of chronic heart failure and for whom the hospital submitted a billing statement in the last year. Exploratory factor analysis, Cronbach's alpha and item-rest correlation were used to construct the CaReQoL CHF. Construct validity was assessed by examining the mean values of the CaReQoL CHF scales for the categories of the widely-used New York Heart Association (NYHA) functional classification and by correlating the global rating of quality of care with the CaReQoL CHF scales.One thousand eighteen patients with chronic heart failure filled out the CaReQoL CHF (RR: 35.7%). The CaReQoL CHF consists of 20 items and three scales: social and emotional problems, physical limitations, and being in safe hands. The mean scores of the three scales differed significantly for the NYHA categories, particularly for the social-emotional problems and physical limitation scales. The 'being in safe hands' scale showed a moderate positive correlation with the global rating of quality of care.The CaReQoL CHF is a concise and valid PROM that matches patients' priorities in healthcare. It adds a new element to existing quality of life questionnaires for patients with chronic heart failure, that is 'being in safe hands' scale. This scale is relevant for patients because they experience anxiety and tension about their condition. Future research should determine whether the CaReQoL CHF can help healthcare providers in daily practice to focus treatment on outcomes of care that are relevant to individual patients.
Project description:The objective of this systematic review was to identify and describe information needs for individuals with heart failure (HF) throughout their patient journey. Six databases were searched (APA PsycINFO, CINAHL Ultimate, Embase, Emcare Nursing, Medline ALL, and Web of Science Core Collection) from inception to February 2023. Search strategies were developed utilizing the PICO framework. Potential studies of any methodological design were considered for inclusion through a snowball hand search. Data from the included articles were extracted by a reviewer, and the extraction accuracy was independently cross-checked by another author. Quality appraisal was assessed using the Mixed-Methods Appraisal Tool. A narrative synthesis was used to analyze all the outcomes according to the Synthesis Without Meta-analysis reporting guidelines. Twenty-five studies (15 quantitative and 10 qualitative) were included. Socioeconomic, cultural, and demographic factors influencing information needs were considered. The top three information needs for outpatients included general HF information, signs and symptoms and disease management strategies. For inpatients, medications, risk factors, and general HF were reported as the top needs. These divergent needs emphasize the importance of tailored education at different stages. Additionally, the review identified gaps in global representation, with limited studies from Africa and South America, underscoring the need for inclusive research. The findings caution against overgeneralization due to varied reporting methods. Practical implications call for culturally sensitive interventions to address nuanced HF patients' needs, while future research must prioritize standardized reporting, consider diverse patient journey timepoints, and minimize biases for enhanced reliability and applicability.
Project description:ObjectivesHeart failure (HF) is a commonly occurring health problem with high mortality and morbidity. If potential cases could be detected earlier, it may be possible to intervene earlier, which may slow progression in some patients. Preferably, it is desired to reuse already measured data for screening of all persons in an age group, such as general practitioner (GP) data. Furthermore, it is essential to evaluate the number of people needed to screen to find one patient using true incidence rates, as this indicates the generalisability in the true population. Therefore, we aim to create a machine learning model for the prediction of HF using GP data and evaluate the number needed to screen with true incidence rates.Design, settings and participantsGP data from 8543 patients (-2 to -1 year before diagnosis) and controls aged 70+ years were obtained retrospectively from 01 January 2012 to 31 December 2019 from the Nivel Primary Care Database. Codes about chronic illness, complaints, diagnostics and medication were obtained. Data were split in a train/test set. Datasets describing demographics, the presence of codes (non-sequential) and upon each other following codes (sequential) were created. Logistic regression, random forest and XGBoost models were trained. Predicted outcome was the presence of HF after 1 year. The ratio case:control in the test set matched true incidence rates (1:45).ResultsSole demographics performed average (area under the curve (AUC) 0.692, CI 0.677 to 0.706). Adding non-sequential information combined with a logistic regression model performed best and significantly improved performance (AUC 0.772, CI 0.759 to 0.785, p<0.001). Further adding sequential information did not alter performance significantly (AUC 0.767, CI 0.754 to 0.780, p=0.07). The number needed to screen dropped from 14.11 to 5.99 false positives per true positive.ConclusionThis study created a model able to identify patients with pending HF a year before diagnosis.