Background/objective: Anemia and dynapenia can occur simultaneously. Separately, both conditions increase the mortality risk with advancing age. However, there is no epidemiological evidence on the combined effect of these conditions on mortality in older adults. We investigated whether combined anemia and dynapenia increase the mortality risk, and whether there are gender differences.
Methods: A 10-year follow-up study was conducted involving 5,310 older adults from the English Longitudinal Study of Ageing (ELSA). According to the diagnosis of anemia (hemoglobin concentration < 13.0 g/dL in men and < 12.0 g/dL in women) and dynapenia (grip strength < 26 kg for men and < 16 kg for women), individuals at baseline were categorized as "non-anemic/non-dynapenic", "dynapenic", "anemic" and "anemic/dynapenic". The outcome was all-cause mortality during the follow-up period.
Results: A total of 984 deaths were computed during the follow-up (63.7% in non-anemic/non-dynapenic, 22.8% in dynapenic, 7.5% in anemic and 6.0% in anemic/dynapenic). Adjusted Cox proportional hazard models stratified by sex showed that anemia and dynapenia combined was associated with an increased mortality risk in men (HR: 1.64; 95% IC 1.08 - 2.50) and women (HR: 2.17; 95% CI 1.44 - 3.26). Anemia in men (HR: 1.68; 95% CI 1.22 - 2.32) and dynapenia in women (HR: 1.37; 95% CI 1.09 - 1.72) were also risk factors for mortality.
Conclusions: The coexistence of anemia and dynapenia increases the mortality risk, highlighting the need for early identification, prevention, and treatment of these conditions to reduce their complications and the mortality risk.
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http://dx.doi.org/10.1016/j.archger.2022.104739 | DOI Listing |
Sci Rep
December 2024
Postgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Body composition abnormalities are prognostic markers in several types of cancer, including colorectal cancer (CRC). Using our data distribution on body composition assessments and classifications could improve clinical evaluations and support population-specific opportune interventions. This study aimed to evaluate the distribution of body composition from computed tomography and assess the associations with overall survival among patients with CRC.
View Article and Find Full Text PDFNPJ Vaccines
December 2024
Department for Evidence-based Medicine and Evaluation, University for Continuing Education Krems (Danube University Krems), Krems, Austria.
Pneumococcal infections are a serious health issue associated with increased morbidity and mortality. This systematic review evaluated the efficacy, effectiveness, immunogenicity, and safety of the pneumococcal conjugate vaccine (PCV)15 compared to other pneumococcal vaccines or no vaccination in children and adults. We identified 20 randomized controlled trials (RCTs).
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December 2024
Department of Applied Mathematics, Faculty of Mathematical Science, Ferdowsi University of Mashhad, Mashhad, Iran.
This study presents a web application for predicting cardiovascular disease (CVD) and hypertension (HTN) among mine workers using machine learning (ML) techniques. The dataset, collected from 699 participants at the Gol-Gohar mine in Iran between 2016 and 2020, includes demographic, occupational, lifestyle, and medical information. After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines.
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December 2024
Department of Medical and Surgical Sciences, Institute of Cardiology, University of Bologna, Policlinico S.Orsola-Malpighi, via Massarenti 9, Bologna, 40138, Italy.
Cardiac implantable electronic devices infections (CIEDI) are associated with poor survival despite the improvement in transvenous lead extraction (TLE). Aetiology and systemic involvement are driving factors of clinical outcomes. The aim of this study was to explore their contribute on overall mortality.
View Article and Find Full Text PDFNat Commun
December 2024
Department of Electrical Engineering, Stanford University, Stanford, CA, USA.
Evaluating the effectiveness of cancer treatments in relation to specific tumor mutations is essential for improving patient outcomes and advancing the field of precision medicine. Here we represent a comprehensive analysis of 78,287 U.S.
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