Prevalence and factors associated with frailty in hospitalized older patients.
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ABSTRACT:
SUBMITTER: Hammami S
PROVIDER: S-EPMC7168944 | biostudies-literature | 2020 Apr
REPOSITORIES: biostudies-literature
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Prevalence and factors associated with frailty in hospitalized older patients.
Hammami Sonia S Zarrouk Amira A Piron Cecile C Almas Ioana I Sakly Nabil N Latteur Veronique V
BMC geriatrics 20200419 1
<h4>Background</h4>Frailty is a multidimensional syndrome that leads to an increase of an age-related disorder of several physiological systems, and cognitive abilities decline. The aim of this study was to evaluate the prevalence of frailty among older persons in Belgium and we examined the factors associated with frailty with a principal focus en cognitive, dietary status, and inflammatory parameters.<h4>Methods</h4>A total of 124 participants (90 women, 34 men; age: mean ± SD: 85.9 ± 5.5 year ...[more]
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Project description:BackgroundThere is growing interest for interventions aiming at preventing frailty progression or even to reverse frailty in older people, yet it is still unclear which frailty instrument is most appropriate for measuring change scores over time to determine the effectiveness of interventions. The aim of this prospective cohort study was to determine reproducibility and responsiveness properties of the Frailty Index (FI) and Frailty Phenotype (FP) in acutely hospitalized medical patients aged 70 years and older.MethodsReproducibility was assessed by Intra-Class Correlation Coefficients (ICC), standard error of measurement (SEM) and smallest detectable change (SDC); Responsiveness was assessed by the standardized response mean (SRM), and area under the receiver operating characteristic curve (AUC).ResultsAt baseline, 243 patients were included with a median age of 76 years (range 70-98). The analytic samples included 192 and 187 patients in the three and twelve months follow-up analyses, respectively. ICC of the FI were 0.85 (95 % confidence interval [CI]: 0.76; 0.91) and 0.84 (95% CI: 0.77; 0.90), and 0.65 (95% CI: 0.49; 0.77) and 0.77 (95% CI: 0.65; 0.84) for the FP. SEM ranged from 5 to 13 %; SDC from 13 to 37 %. SRMs were good in patients with unchanged frailty status (< 0.50), and doubtful to good for deteriorated and improved patients (0.43-1.00). AUC's over three months were 0.77 (95% CI: 0.69; 0.86) and 0.71 (95% CI: 0.62; 0.79) for the FI, and 0.68 (95% CI: 0.58; 0.77) and 0.65 (95% CI: 0.55; 0.74) for the FP. Over twelve months, AUCs were 0.78 (95% CI: 0.69; 0.87) and 0.82 (95% CI: 0.73; 0.90) for the FI, and 0.78 (95% CI: 0.69; 0.87) and 0.75 (95% CI: 0.67; 0.84) for the FP.ConclusionsThe Frailty Index showed better reproducibility and responsiveness properties compared to the Frailty Phenotype among acutely hospitalized older patients.
| S-EPMC8447764 | biostudies-literature
Project description:The population undergoing dialysis is aging worldwide, particularly in Japan. The clinical condition of frailty is the most problematic expression in the elderly population. Potential pathophysiological factors of frailty present in patients with CKD and are accentuated in patients with ESRD. The aim of this study was to identify the prevalence and predictors of frailty in Japanese HD patients. This study was a multicenter, cross-sectional and observational investigation conducted at 6 institutions. To evaluate frailty, the modified Fried's frailty phenotype adjusted for Japanese as the self-reported questionnaire was used. Of the 542 patients visiting each institution, 388 were enrolled in this study. In total, 26.0% of participants were categorized as not-frailty, 52.6% as pre-frailty and 21.4% as frailty. The prevalence of frailty increased steadily with age and was more prevalent in females than in males and the subjects with frailty received polypharmacy. A multivariate logistic regression analysis revealed that the factors independently associated with frailty were the following: female gender (odds ratio [OR] = 3.661, 95% confidence interval [CI] 1.398-9.588), age (OR = 1.065, 95% CI 1.014-1.119), age ? 75 years old (OR = 4.892, 95% CI 1.715-13.955), body mass index (BMI) < 18.5 (OR = 0.110, 95% CI 0.0293-0.416), number of medications being taken (OR = 1.351, 95% CI 1.163-1.570), diabetes mellitus (DM) (OR = 2.765, 95% CI 1.081-7.071) and MNA-SF ? 11 (OR = 7.405, 95% CI 2.732-20.072). Frailty was associated with the accumulation of risk factors. The prevalence of frailty in Japanese patients with HD was relatively lower than that previously reported in Western developed countries; however, it was extremely high compared to the general population regardless of age. Our findings suggest that frailty might be associated with an increase in the prevalence of adverse health outcomes in patients with HD.
| S-EPMC5963342 | biostudies-literature
Project description:ObjectiveTo estimate the prevalence of dysphagia and frailty among hospitalized older patients and to analyze the relationship between dysphagia and frailty in these people.MethodsData were collected on 386 participants aged 65 and older in a general hospital from April to December 2017. Patients were asked to complete a self-designed demographic questionnaire. Frailty and swallowing function assessments were performed using the Fried frailty phenotype and the 30-ml water swallowing test, respectively. Multiple stepwise logistic regression analyses were used to identify the association between frailty and dysphagia.ResultsDysphagia developed in 31.1% of older people, and 24.4% developed frailty. Frailty was statistically significantly related with dysphagia. Dysphagia was more prevalent in frail and pre-frail patients (48.9% and 32.4%, respectively) than those who were non-frail (13.6%). In multivariate analyses, frail（OR, 5.420; 95% CI, 2.684-10.944；P＜0.001） and history of choking/coughing while drinking（OR, 2.954; 95% CI, 1.844-4.733；P＜0.001）were associated with dysphagia.result.ConclusionsFrailty is associated with dysphagia. More attention should be paid to frailty and dysphagia of the elderly and further studies are needed to evaluate the correlated mechanism and develop targeted nursing interventions.
| S-EPMC7644548 | biostudies-literature
Project description:AimsTo explore the experiences of older people and ward staff to identify modifiable factors (risk factors) which have the potential to reduce development or exacerbation of manifestations of frailty during hospitalization. To develop a theoretical framework of modifiable risk factors.DesignQualitative descriptive study.MethodsQualitative interviews with recently discharged older people (n = 18) and focus groups with ward staff (n = 22) were undertaken between July and October 2019. Data were analysed using directed content analysis.ResultsThemes identified related to attitude to risk, communication and, loss of routine, stimulation and confidence. Using findings from this study and previously identified literature, we developed a theoretical framework including 67 modifiable risk factors. Risk factors are grouped by patient risk factor domains (pain, medication, nutritional/fluid intake, mobility, elimination, infection, additional patient risk factors) and linked care management sub-domains (including risk factors relating to the ward environment, process of care, ward culture or broader organizational set up). Many of the additional 36 risk factors identified by this study were related to care management sub-domains.ConclusionA co-ordinated approach is needed to address modifiable risk factors which lead to the development or exacerbation of manifestations of frailty in hospitalized older people. Risk assessment and management practices should not be duplicative and, should recognize and address modifiable risk factors which occur at the ward and organizational level.ImpactSome older people leave hospital more dependent than when they come in and this is, in part, due to the environment and process of care and not just the severity of their presenting illness. Many of the risk factors identified need to be addressed at an organizational rather than individual level. Findings will inform a programme of research to develop and test a novel system of care aimed at preventing loss of independence in hospitalized older people.
| S-EPMC9299686 | biostudies-literature
Project description:IntroductionPain and frailty are prevalent conditions in the older population. Many chronic diseases are likely involved in their origin, and both have a negative impact on quality of life. However, few studies have analysed their association.MethodsIn light of this knowledge gap, 3577 acutely hospitalized patients 65 years or older enrolled in the REPOSI register, an Italian network of internal medicine and geriatric hospital wards, were assessed to calculate the frailty index (FI). The impact of pain and some of its characteristics on the degree of frailty was evaluated using an ordinal logistic regression model after adjusting for age and gender.ResultsThe prevalence of pain was 24.7%, and among patients with pain, 42.9% was regarded as chronic pain. Chronic pain was associated with severe frailty (OR = 1.69, 95% CI 1.38-2.07). Somatic pain (OR = 1.59, 95% CI 1.23-2.07) and widespread pain (OR = 1.60, 95% CI 0.93-2.78) were associated with frailty. Osteoarthritis was the most common cause of chronic pain, diagnosed in 157 patients (33.5%). Polymyalgia, rheumatoid arthritis and other musculoskeletal diseases causing chronic pain were associated with a lower degree of frailty than osteoarthritis (OR = 0.49, 95%CI 0.28-0.85).ConclusionsChronic and somatic pain negatively affect the degree of frailty. The duration and type of pain, as well as the underlying diseases associated with chronic pain, should be evaluated to improve the hospital management of frail older people.
| S-EPMC7648833 | biostudies-literature
Project description:Background:Data in the literature has shown poor sleep quality to be frequently observed in hospitalized patients and known to be associated with poor treatment outcome. Many factors may impact poor sleep quality, and there is currently limited available data. We aim to determine the prevalence of poor sleep quality and associated factors in patients admitted to internal medicine wards as well as the change of sleep quality over time after admission. Methods:An analytic observational study was conducted at the internal medicine wards at the King Chulalongkorn Memorial Hospital, Bangkok, Thailand. Patients were personally interviewed to evaluate the history of sleep quality at home, sleep quality after the first and the third days of admission, and potential associated factors. The Pittsburgh Sleep Quality Index and screening questionnaires for the common diseases associated with poor sleep quality were also utilized. The logistic regression analysis was used to determine the independent factors which led to poor sleep quality. Results:Data were collected from 96 patients during the period of June 2015 to February 2016. The mean age of the patients was 50.8 ± 16.7 years, and 51% were male. Infectious disease was the most common principal diagnosis accounted for 29.2%. The results show high prevalence of poor sleep quality after the first night of admission compared to baseline sleep quality at home (50% vs. 18.8%; p < 0.001). After 3 days of admission, the prevalence of poor sleep quality was reduced to the level close to baseline sleep quality at home (28.1% vs. 18.8%; p = 0.13). Multivariate analysis demonstrated that light exposure and pain were the main independent factors for poor sleep quality on the first day (odds ratio 6.68; 95% CI 2.25-19.84) and on the third day (odds ratio 3.47; 95% CI 1.24-9.71), respectively. Conclusions:This is the first study conducted on the sleep quality of hospitalized patients that included the follow-up period during hospital admission. Our study demonstrated high prevalence of poor sleep quality in hospitalized patients on the first day. Interestingly, the sleep quality was partly improved during hospitalization. Light exposure and pain were demonstrated to be the factors associated with poor sleep quality.
| S-EPMC7157800 | biostudies-literature
Project description:BACKGROUND:To date, most previous studies of frailty among hospitalized elderly Chinese patients have been conducted based on small samples, which cannot represent the elderly patient population. The aim of this study was to identify the prevalence of and risk factors for frailty among elderly patients in China. STUDY DESIGN AND SETTING:This cross-sectional study surveyed 9996 elderly patients from 6 tertiary-level hospitals in China. The prevalence of frailty among patients from selected wards was surveyed by trained investigators. A mixed-effects Poisson regression model was used to analyse the factors associated with frailty among elderly patients. RESULTS:The mean age of all subjects was 72.47?±?5.77?years. The prevalence rate of frailty in this study was 18.02%. After adjustments were made for the confounding effect of the clustering of hospital wards, a mixed-effects Poisson regression model showed that the associated factors of frailty included the following: age (OR: 1.016, 95% CI: 1.012-1.020), BMI?<?18.5 (OR: 1.248, 95% CI: 1.171-1.330), female gender (OR: 1.058, 95% CI: 1.004-1.115), ethnic minority (OR: 1.152, 95% CI: 1.073-1.236), admission to hospital by the emergency department (OR: 1.104, 95% CI: 1.030-1.184), transit from another hospital (OR: 1.159, 95% CI: 1.049-1.279), former alcohol use (OR: 1.094, 95% CI: 1.022-1.171), fall history in the past 12?months (OR: 1.257, 95% CI: 1.194-1.323), vision dysfunction (OR: 1.144, 95% CI: 1.080-1.211), cognition impairment (OR: 1.182, 95% CI: 1.130-1.237), sleeping dysfunction (OR: 1.215, 95% CI: 1.215-1.318), urinary dysfunction (OR: 1.175, 95% CI: 1.104-1.251), and defecation dysfunction (OR: 1.286, 95% CI: 1.217-1.358). The results also showed some of the following protective effects: BMI?>?28 (OR: 0.897, 95% CI: 0.856-0.940); higher education level, including middle school (OR: 0.915, 95% CI: 0.857, 0.977) and diploma and above (OR: 0.891, 95% CI: 0.821, 0.966); and current alcohol use (OR: 0.869, 95% CI: 0.815, 0.927). CONCLUSION:We identified a relatively high prevalence of frailty among elderly patients, and there are several associated factors among the population derived from this investigation of a large-scale, multicentre, nationally representative Chinese elderly inpatient population. TRIAL REGISTRATION:Chinese Clinical Trial Registry, ChiCTR1800017682, registered 09 August 2018.
| S-EPMC7068995 | biostudies-literature
Project description:BackgroundRoutine screening for frailty at admission by nurses may be useful to detect geriatric risks and problems at an early stage. However, the added value of this screening is not clear yet. Information about the opinions and attitudes of nurses towards this screening is also lacking. As they have a crucial role in conducting this screening, an exploratory study was performed to examine hospital nurses' opinions and perspectives about this screening and how it influences their daily work.MethodsA qualitative, exploratory approach was employed, using semi-structured interviews with 13 nurses working on different general medical wards (surgical and internal medicine) in three Dutch hospitals. Frailty screening had been implemented for several years in these hospitals.ResultsThe participating nurses reported that frailty screening can be useful to structure their work, create more awareness of frail older patients and as starting point for pro-active nursing care. At the same time, they assess their clinical view as more important than the results of a standard screening tool. The nurses hardly used the overall screening scores, but were particularly interested in information regarding specific items, such as delirium or fall risk. Screening results are partly embedded systematically and in daily nursing care, e.g., in team briefings or during transfer of patients to other wards. The majority of the nurses had received little training about the background of frailty screening and the use of screening tools.ConclusionsMost nurses stated that frailty screening tools are helpful in daily practice. However, nurses did not use the frailty screening tools in the referred way; tools were particularly used to evaluate patients on separate items of the tool instead of the summative score of the tool. When frailty screening tools are implemented in daily practice, training needs to be focused on. Additional research in this field is necessary to gain more insight into nurses' opinions on frailty screening.
| S-EPMC8565044 | biostudies-literature
Project description:BackgroundClinically meaningful change (CMC) for frailty index (FI) scores is little studied. We estimated the CMC by associating changes in FI scores with changes in the Clinical Frailty Scale (CFS) in hospitalized patients.MethodsThe Serious Outcomes Surveillance Network of the Canadian Immunization Research Network enrolled older adults (65+ years) admitted to hospital with acute respiratory illness (mean age = 79.6 ± 8.4 years; 52.7% female). Patients were assigned CFS and 39-item FI scores in-person at admission and via telephone at 1-month postdischarge. Baseline frailty state was assessed at admission using health status 2 weeks before admission. We classified those whose CFS scores remained unchanged (n = 1,534) or increased (n = 4,390) from baseline to hospital admission, and whose CFS scores remained unchanged (n = 1,565) or decreased (n = 2,546) from admission to postdischarge. For each group, the CMC was represented as the FI score change value that best predicted one level CFS change, having the largest Youden J value in comparison to no change.ResultsFrom baseline to admission, 74.1% increased CFS by ≥1 level. From admission to postdischarge, 61.9% decreased CFS by ≥1 levels. A change in FI score of 0.03 best predicted both one-level CFS increase (sensitivity = 70%; specificity = 69%) and decrease (sensitivity = 66%; specificity = 61%) in comparison to no change. Of those who changed CFS by ≥1 levels, 70.9% (baseline to admission) and 72.4% (admission to postdischarge) changed their FI score by at least 0.03.ConclusionsA clinically meaningful change of 0.03 in the frailty index score holds promise as a benchmark for assessing the meaningfulness of frailty interventions.
| S-EPMC7518565 | biostudies-literature
Project description:Frailty, a clinical syndrome of decreased physiologic reserve and dysregulation in multiple physiologic systems, is associated with increased risk for adverse outcomes.The aim of this retrospective, cross-sectional, correlational study was to characterize frailty in older adults admitted to a tertiary-care hospital using a biopsychosocial frailty assessment and to determine associations between frailty and time to in-hospital mortality and 30-day rehospitalization.The sample included 278 patients ?55 years old admitted to medicine units. Frailty was determined using clinical data from the electronic health record (EHR) for symptoms, syndromes, and conditions and laboratory data for four serum biomarkers. A frailty risk score (FRS) was created from 16 risk factors, and relationships between the FRS and outcomes were examined.The mean age of the sample was 70.2 years and mean FRS was 9.4 ( SD, 2.2). Increased FRS was significantly associated with increased risk of death (hazard ratio = 1.77-2.27 for 3 days ? length of stay (LOS) ?7 days), but depended upon LOS ( p < .001). Frailty was marginally associated with rehospitalization for those who did not die in hospital (adjusted odds ratio = 1.18, p = .086, area under the curve [AUC] = 0.66, 95% confidence interval for AUC = [0.57, 0.76]).Clinical data in the EHR can be used for frailty assessment. Informatics may facilitate data aggregation and decision support. Because frailty is potentially preventable and treatable, early detection is crucial to delivery of tailored interventions and optimal patient outcomes.
| S-EPMC5801547 | biostudies-literature