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In this systematic review, we report on the effects of diuretic deprescribing compared to continued diuretic use. We included clinical studies reporting on outcomes such as mortality, heart failure recurrence, tolerability and feasibility. We assessed risk of bias and certainty of the evidence using the GRADE framework. We included 25 publications from 22 primary studies (15 randomized controlled trials; 7 nonrandomized studies). The mean number of participants in the deprescribing groups was 35, and median/mean age 64 years. In patients with heart failure, there was no clear evidence that diuretic deprescribing was associated with increased mortality compared to diuretic continuation (low certainty evidence). The risk of cardiovascular composite outcomes associated with diuretic deprescribing was inconsistent (studies showing lower risk for diuretic deprescribing, or comparable risk with diuretic continuation; very low certainty evidence). The effect on heart failure recurrence after diuretic deprescribing in patients with diuretics for heart failure, and of hypertension in patients with diuretics for hypertension was inconsistent across the included studies (low certainty evidence). In patients with diuretics for hypertension, diuretic deprescribing was well tolerated (moderate certainty evidence), while in patients with diuretics for heart failure, deprescribing diuretics can result in complaints of peripheral oedema (very low certainty evidence). The overall risk of bias was generally high. In summary, this systematic review suggests that diuretic discontinuation could be a safe and feasible treatment option for carefully selected patients. However, there isa lack of high-quality evidence on its feasibility, safety and tolerability of diuretic deprescribing, warranting further research.
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Syncope can have devastating consequences, resulting in injuries, accidents or even death. In our ageing society, the subsequent healthcare usage, such as emergency room presentations, surgeries and hospital admissions, forms a significant and growing socioeconomic burden. Causes of syncope in the older adult include orthostatic hypotension, carotid sinus syndrome, vasovagal syncope, structural cardiac abnormalities, cardiac arrhythmias and conduction abnormalities. As stated in the recently published World Falls Guidelines, syncope in older adults often presents as falls, which is either due to amnesia for loss of consciousness, or pre-syncope leading to a fall, especially in those prone to falls with several other risk-factors for falls present. This difference in presentation can hinder the recognition of syncope. In patients with unexplained falls, or in whom the history comprises red flags for potential syncope, special attention to (pre)syncope is therefore warranted. When syncope is mistaken for other causes of a transient loss of consciousness, such as epileptic seizures, or when syncope presents as falls, patients are often referred to multiple specialists, which may in turn lead to excessive and unnecessary diagnostic testing and costs. Specialist services that are able to provide a comprehensive assessment can improve diagnostic yield and minimise diagnostic testing, thus improving patient satisfaction. Comprehensive assessment also leads to reduced length of hospital stay. Increasingly, geriatricians are involved in the assessment of syncope in the older patient, especially given the overlap with falls. Therefore, awareness of causes of syncope, as well as state-of-the-art assessment and treatment, is of great importance.
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Hipotensión Ortostática , Síncope , Humanos , Anciano , Síncope/diagnóstico , Síncope/epidemiología , Síncope/etiología , Hipotensión Ortostática/diagnóstico , Envejecimiento , Factores de RiesgoRESUMEN
BACKGROUND: Falls involve dynamic risk factors that change over time, but most studies on fall-risk factors are cross-sectional and do not capture this temporal aspect. The longitudinal clinical notes within electronic health records (EHR) provide an opportunity to analyse fall risk factor trajectories through Natural Language Processing techniques, specifically dynamic topic modelling (DTM). This study aims to uncover fall-related topics for new fallers and track their evolving trends leading up to falls. METHODS: This case-cohort study utilised primary care EHR data covering information on older adults between 2016 and 2019. Cases were individuals who fell in 2019 but had no falls in the preceding three years (2016-18). The control group was randomly sampled individuals, with similar size to the cases group, who did not endure falls during the whole study follow-up period. We applied DTM on the clinical notes collected between 2016 and 2018. We compared the trend lines of the case and control groups using the slopes, which indicate direction and steepness of the change over time. RESULTS: A total of 2,384 fallers (cases) and an equal number of controls were included. We identified 25 topics that showed significant differences in trends between the case and control groups. Topics such as medications, renal care, family caregivers, hospital admission/discharge and referral/streamlining diagnostic pathways exhibited a consistent increase in steepness over time within the cases group before the occurrence of falls. CONCLUSIONS: Early recognition of health conditions demanding care is crucial for applying proactive and comprehensive multifactorial assessments that address underlying causes, ultimately reducing falls and fall-related injuries.
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Médicos Generales , Procesamiento de Lenguaje Natural , Humanos , Anciano , Estudios de Cohortes , Estudios TransversalesRESUMEN
Globally, more people are living into advanced old age, with age-associated frailty, disability and multimorbidity. Achieving equity for all ages necessitates adapting healthcare systems. Clinical practice guidelines (CPGs) have an important place in adapting evidence-based medicine and clinical care to reflect these changing needs. CPGs can facilitate better and more systematic care for older people. But they can also present a challenge to patient-centred care and shared decision-making when clinical and/or socioeconomic heterogeneity or personal priorities are not reflected in recommendations or in their application. Indeed, evidence is often lacking to enable this variability to be reflected in guidance. Evidence is more likely to be lacking about some sections of the population. Many older adults are at the intersection of many factors associated with exclusion from traditional clinical evidence sources with higher incidence of multimorbidity and disability compounded by poorer healthcare access and ultimately worse outcomes. We describe these challenges and illustrate how they can adversely affect CPG scope, the evidence available and its summation, the content of CPG recommendations and their patient-centred implementation. In all of this, we take older adults as our focus, but much of what we say will be applicable to other marginalised groups. Then, using the established process of formulating a CPG as a framework, we consider how these challenges can be mitigated, with particular attention to applicability and implementation. We consider why CPG recommendations on the same clinical areas may be inconsistent and describe approaches to ensuring that CPGs remain up to date.
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Medicina Basada en la Evidencia , Atención Dirigida al Paciente , Guías de Práctica Clínica como Asunto , Humanos , Anciano , Atención Dirigida al Paciente/normas , Medicina Basada en la Evidencia/normas , Multimorbilidad , Envejecimiento , Factores de Edad , Anciano de 80 o más AñosRESUMEN
BACKGROUND: Prediction models can identify fall-prone individuals. Prediction models can be based on either data from research cohorts (cohort-based) or routinely collected data (RCD-based). We review and compare cohort-based and RCD-based studies describing the development and/or validation of fall prediction models for community-dwelling older adults. METHODS: Medline and Embase were searched via Ovid until January 2023. We included studies describing the development or validation of multivariable prediction models of falls in older adults (60+). Both risk of bias and reporting quality were assessed using the PROBAST and TRIPOD, respectively. RESULTS: We included and reviewed 28 relevant studies, describing 30 prediction models (23 cohort-based and 7 RCD-based), and external validation of two existing models (one cohort-based and one RCD-based). The median sample sizes for cohort-based and RCD-based studies were 1365 [interquartile range (IQR) 426-2766] versus 90 441 (IQR 56 442-128 157), and the ranges of fall rates were 5.4% to 60.4% versus 1.6% to 13.1%, respectively. Discrimination performance was comparable between cohort-based and RCD-based models, with the respective area under the receiver operating characteristic curves ranging from 0.65 to 0.88 versus 0.71 to 0.81. The median number of predictors in cohort-based final models was 6 (IQR 5-11); for RCD-based models, it was 16 (IQR 11-26). All but one cohort-based model had high bias risks, primarily due to deficiencies in statistical analysis and outcome determination. CONCLUSIONS: Cohort-based models to predict falls in older adults in the community are plentiful. RCD-based models are yet in their infancy but provide comparable predictive performance with no additional data collection efforts. Future studies should focus on methodological and reporting quality.
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Accidentes por Caídas , Vida Independiente , Humanos , Accidentes por Caídas/estadística & datos numéricos , Anciano , Vida Independiente/estadística & datos numéricos , Medición de Riesgo , Factores de Riesgo , Femenino , Masculino , Anciano de 80 o más Años , Evaluación Geriátrica/métodos , Factores de Edad , Valor Predictivo de las Pruebas , Reproducibilidad de los Resultados , Modelos EstadísticosRESUMEN
AIM: Few genome-wide association studies (GWAS) have been conducted for severe forms of periodontitis (stage III/IV grade C), and the number of known risk genes is scarce. To identify further genetic risk variants to improve the understanding of the disease aetiology, a GWAS meta-analysis in cases with a diagnosis at ≤35 years of age was performed. MATERIALS AND METHODS: Genotypes from German, Dutch and Spanish GWAS studies of III/IV-C periodontitis diagnosed at age ≤35 years were imputed using TopMed. After quality control, a meta-analysis was conducted on 8,666,460 variants in 1306 cases and 7817 controls with METAL. Variants were prioritized using FUMA for gene-based tests, functional annotation and a transcriptome-wide association study integrating eQTL data. RESULTS: The study identified a novel genome-wide significant association in the FCER1G gene (p = 1.0 × 10-9 ), which was previously suggestively associated with III/IV-C periodontitis. Six additional genes showed suggestive association with p < 10-5 , including the known risk gene SIGLEC5. HMCN2 showed the second strongest association in this study (p = 6.1 × 10-8 ). CONCLUSIONS: This study expands the set of known genetic loci for severe periodontitis with an age of onset ≤35 years. The putative functions ascribed to the associated genes highlight the significance of oral barrier tissue stability, wound healing and tissue regeneration in the aetiology of these periodontitis forms and suggest the importance of tissue regeneration in maintaining oral health.
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Estudio de Asociación del Genoma Completo , Periodontitis , Humanos , Adulto , Genotipo , Periodontitis/genética , Factores de Riesgo , Sitios Genéticos/genéticaRESUMEN
OBJECTIVES: To identify and compare characteristics of patients with hip fracture treated nonoperatively versus those treated operatively. DESIGN: Retrospective cohort study. SETTING: Hip fracture population-based study. PATIENT SELECTION CRITERIA: All adult patients with hip fractures (OTA/AO 31A and 31B) were included. Patients with pathological or periprosthetic hip fractures were excluded. OUTCOME MEASURES AND COMPARISONS: Patients were categorized according to the type of management (operative vs. nonoperative) and type of fracture (nondisplaced vs. other). Patient and fracture characteristics associated with nonoperative management (NOM) were analyzed. RESULTS: A total of 94,930 patients with hip fracture were included. Of these, 3.2% were treated nonoperatively. Patients receiving NOM were older [86 years (interquartile range, 79-91 years) vs. 81 years (interquartile range, 72-87 years); P < 0.001], more frequently institutionalized (42.4% vs. 17.6%), and were more dependent in activities of daily living (22.2% vs. 55.0%). Various clinical characteristics, including dementia [odds ratio (OR) 1.31 (95% confidence interval, CI, 1.18-1.45) P < 0.001], no functional mobility [OR 4.39 (95% CI, 3.14-3.68) P < 0.001], and activities of daily living (ADL) measured as KATZ-6-ADL [OR 1.17 (95% CI, 1.14-1.20) P < 0.001] were independently associated with NOM. Seven-day mortality was 37.6%, and 30-day mortality was 57.1% in patients treated nonoperatively. CONCLUSIONS: The first step in understanding patients who potentially benefit from NOM is evaluating the current standard of care. This study provides insight into the current hip fracture population treated nonoperatively. These patients are older, have higher percentage of dementia, more dependent, and show higher short-term mortality rates. LEVEL OF EVIDENCE: Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
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Demencia , Fracturas de Cadera , Adulto , Humanos , Actividades Cotidianas , Estudios Retrospectivos , Fracturas de Cadera/cirugía , Oportunidad Relativa , Resultado del TratamientoRESUMEN
INTRODUCTION: Multifactorial falls risk assessment tools (FRATs) can be an effective falls prevention method for older adults, but are often underutilized by health care professionals (HCPs). This study aims to enhance the use and implementation of multifactorial FRATs by combining behavioral theory with the user-centered design (UCD) method of personas construction. Specifically, the study aimed to (1) construct personas that are based on external (i.e., needs, preferences) and intrinsic user characteristics (i.e., behavioral determinants); and (2) use these insights to inform requirements for optimizing an existing Dutch multifactorial FRAT (i.e., the 'Valanalyse'). METHODS: Survey data from HCPs (n = 31) was used to construct personas of the 'Valanalyse.' To examine differences between clusters on 68 clustering variables, a multivariate cluster analysis technique with non-parametric analyses and computational methods was used. The aggregated external and intrinsic user characteristics of personas were used to inform key design and implementation requirements for the 'Valanalyse,' respectively, whereby intrinsic user characteristics were matched with appropriate behavior change techniques to guide implementation. RESULTS: Significant differences between clusters were observed in 20 clustering variables (e.g., behavioral beliefs, situations for use). These variables were used to construct six personas representing users of each cluster. Together, the six personas helped operationalize four key design requirements (e.g., guide treatment-related decision making) and 14 implementation strategies (e.g., planning coping responses) for optimizing the 'Valanalyse' in Dutch geriatric, primary care settings. CONCLUSION: The findings suggest that theory- and evidence-based personas that encompass both external and intrinsic user characteristics are a useful method for understanding how the use and implementation of multifactorial FRATs can be optimized with and for HCPs, providing important implications for developers and eHealth interventions with regards to encouraging technology adoption.