Purpose/objectives: To determine the feasibility of measuring hand grip strength (HGS) daily in a population of recipients of bone marrow transplantation (BMT), to describe changes in strength measured by HGS, and to describe relationships between laboratory values (hematocrit, hemoglobin, and absolute neutrophil count) and HGS.
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Design: Prospective, longitudinal, repeated measures, within subject.
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Setting: Inpatient units at the University of Washington Medical Center in Seattle.
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Sample: 33 patients admitted in preparation for BMT or for complications from BMT.
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Methods: HGS measured on admission and daily.
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Main Research Variables: HGS, absolute neutrophil count, hemoglobin, and hematocrit.
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Findings: Participants found HGS testing to be relatively easy. Average time to complete testing was 7.2 minutes (SD = 1.95). Nineteen experienced 20% or greater decline in HGS during hospitalization, with nine experiencing decline during the conditioning phase. Age, gender, and hemoglobin correlated with HGS. Strength loss was more likely in those undergoing allogeneic compared to autologous BMT.
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Conclusions: A majority of patients experienced strength decline during BMT, with a subgroup declining during conditioning. A positive relationship existed between HGS and hemoglobin and hematocrit in participants admitted for conditioning for BMT.
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Implications For Nursing: Weakness increases risk for falls. Patients may experience as much as 50% strength loss during the course of hospitalization for BMT. Strength loss occurs in the conditioning phase for some patients.
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http://dx.doi.org/10.1188/17.ONF.606-614 | DOI Listing |
JBJS Case Connect
January 2025
Department of Orthopedic Surgery, Shariati Hospital and School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Case: In this article, we present 2 cases of neglected patellar tendon rupture. One was treated using an Achilles tendon allograft, and the other with a patellar tendon-bone allograft. Both methods allowed for early range of motion and resulted in good functional outcomes with a 1-year follow-up period.
View Article and Find Full Text PDFPLoS 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.
Muscle Nerve
January 2025
Division of Neurology, Department of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
Introduction/aims: Spirometry is the conventional means to measure lung function in amyotrophic lateral sclerosis (ALS), but is dependent on patient effort and bulbar strength. We aimed to use electric impedance tomography (EIT), an emerging non-invasive imaging modality, to measure dynamic lung volume changes.
Methods: Twenty-one patients with ALS underwent sitting and supine spirometry for forced vital capacity (FVC), and sitting and supine EIT.
Alzheimers Dement
January 2025
Department of Psychiatry, University of Cambridge School of Clinical Medicine, Cambridge Biomedical Campus, Cambridge, UK.
Introduction: Lewy body dementia (LBD) shares genetic risk factors with Alzheimer's disease (AD), including apolipoprotein E (APOE), but is distinguishable at the genome-wide level. Polygenic risk scores (PRS) may therefore improve diagnostic classification.
Methods: We assessed diagnostic classification using AD-PRS excluding APOE (AD-PRS ), APOE risk score (APOE-RS), and plasma phosphorylated tau 181 (p-tau181), in 83 participants with LBD, 27 with positron emission tomography amyloid beta (Aβ)positive mild cognitive impairment or AD (MCI+/AD), and 57 controls.
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.
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