Purpose: Coexistence of frailty and hemodialysis is related to higher risk of hospitalization, falls and mortality. Given the potential reversibility of frailty, reaching the epidemiology of frailty in hemodialysis is of great importance. However, estimates of the prevalence of frailty in patients on hemodialysis vary widely. We tried to synthesize the existing body of literature on the prevalence of frailty in patients on hemodialysis.
Methods: We searched Pubmed, Embase, Web of Science and Cochrane for studies of the prevalence in patients on hemodialysis. The prevalence of frailty was synthesized across eligible studies using a random-effects model. We explored potential origin of heterogeneity in the estimates by meta-regression analysis.
Results: Prevalence range from 6.0 to 82.0% and the pooled prevalence of frailty in patients on dialysis was 34.3% (95% confidence interval (CI) 24.5-44.1%; z = 6.87; p = 0.00). The pooled estimates of prevalence for patients aged < 55, 55-65, and ≥ 65 were 56.0% (95% CI 28.9-83.2%; z = 4.04; p = 0.00), 32.3% (95% CI 22.9-41.7%; z = 6.74; p = 0.00), and 20.3% (95% CI 7.9-32.8%; z = 3.2; p = 0.00), respectively. There were no significant relationships between frailty in hemodialysis and factors such as years of publication, sample size (continuous), sample size(> 500 vs ≤ 500), diagnostic method (the Fried Frailty vs other), country (Europe & USA vs Asia) and duration of hemodialysis.
Conclusions: Frailty influences almost three in ten patients on hemodialysis. Understanding the underlying pathophysiology mechanisms and weakening the impacts of frailty in patients on hemodialysis are called on to action in the future work.
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http://dx.doi.org/10.1007/s11255-019-02310-2 | DOI Listing |
PLoS One
January 2025
Department of Environmental and Occupational Health and Safety, College of Medicine and Health Sciences, Wollo University, Dessie, Ethiopia.
Background: Under-five mortality continues to be a serious public health concern in low-and middle-income countries, particularly in Africa. This study investigates the probability of under-five survival and its predictors of mortality in the African continent using a recent demographic health survey from 2014-2022.
Methods: This study utilized recent Demographic and Health Survey data from 30 African countries, encompassing 226,862 live births.
Stat Med
February 2025
Department of Biostatistics and Health Data Science, Indiana University, Indianapolis, IN.
The semi-competing risks data model is a special type of disease-state model that focuses on studying the association between an intermediate event and a terminal event and proves to be a useful tool in modeling disease progression. The study of the semi-competing risk data model not only allows us to evaluate whether a disease episode is related to death but also provides a toolkit to predict death, given that the episode occurred at a certain time. However, the computation of the semi-competing risk models is a numerically challenging task.
View Article and Find Full Text PDFEur J Trauma Emerg Surg
January 2025
North Estonia Medical Centre, Sütiste tee 19, Tallinn, 13419, Estonia.
Purpose: Emergency laparotomy (EL) is a high-risk procedure, especially in frail patients. This study investigates the prevalence of frailty in referral facilities, evaluates the impact of frailty on postoperative morbidity and mortality, and assesses the long-term effect of EL on patients' functional status.
Methods: This prospective multicentre cohort study included patients aged 50 years and older who underwent EL.
Eur J Trauma Emerg Surg
January 2025
Division of Traumatology, Surgical Critical Care and Emergency Surgery, Perelman School of Medicine of the University of Pennsylvania, Philadelphia, USA.
Purpose: Our study explores the utilization of objective tools for preoperative assessment of elderly patients by Emergency General Surgeons (EGS).
Methods: A descriptive cross-sectional survey was conducted via the European Society for Trauma and Emergency Surgery (ESTES) Research Committee. EGS were invited through the ESTES members' mailing list and social media platforms.
Metabolites
January 2025
Department of Geriatric Medicine, Rotherham General Hospital, Moorgate Road, Rotherham S60 2UD, UK.
Frailty is an increasingly recognised complication of diabetes in older people and should be taken into consideration in management plans, including the use of the new therapies of sodium glucose cotransporter-2 (SGLT-2) inhibitors and glucagon like peptide-1 receptor agonists (GLP-1RA). The frailty syndrome appears to span across a spectrum, from a sarcopenic obese phenotype at one end, characterised by obesity, insulin resistance, and prevalent cardiovascular risk factors, to an anorexic malnourished phenotype at the other end, characterised by significant weight loss, reduced insulin resistance, and less prevalent cardiovascular risk factors. Therefore, the use of the new therapies may not be suitable for every frail older individual with diabetes.
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