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1.
J Anat ; 244(3): 476-485, 2024 03.
Article in English | MEDLINE | ID: mdl-37917014

ABSTRACT

Muscle volume must increase substantially during childhood growth to generate the power required to propel the growing body. One unresolved but fundamental question about childhood muscle growth is whether muscles grow at equal rates; that is, if muscles grow in synchrony with each other. In this study, we used magnetic resonance imaging (MRI) and advances in artificial intelligence methods (deep learning) for medical image segmentation to investigate whether human lower leg muscles grow in synchrony. Muscle volumes were measured in 10 lower leg muscles in 208 typically developing children (eight infants aged less than 3 months and 200 children aged 5 to 15 years). We tested the hypothesis that human lower leg muscles grow synchronously by investigating whether the volume of individual lower leg muscles, expressed as a proportion of total lower leg muscle volume, remains constant with age. There were substantial age-related changes in the relative volume of most muscles in both boys and girls (p < 0.001). This was most evident between birth and five years of age but was still evident after five years. The medial gastrocnemius and soleus muscles, the largest muscles in infancy, grew faster than other muscles in the first five years. The findings demonstrate that muscles in the human lower leg grow asynchronously. This finding may assist early detection of atypical growth and allow targeted muscle-specific interventions to improve the quality of life, particularly for children with neuromotor conditions such as cerebral palsy.


Subject(s)
Artificial Intelligence , Leg , Male , Child , Female , Humans , Child, Preschool , Quality of Life , Muscle, Skeletal/pathology , Lower Extremity , Magnetic Resonance Imaging/methods
2.
J Am Med Dir Assoc ; 19(7): 592-600.e7, 2018 07.
Article in English | MEDLINE | ID: mdl-29941156

ABSTRACT

OBJECTIVES: Despite limited efficacy and significant safety concerns, antipsychotic medications are frequently used to treat behavioral and psychological symptoms of dementia (BPSD) in long-term residential care. This study evaluates the sustained reduction of antipsychotic use for BPSD through a deprescribing intervention and education of health care professionals. DESIGN: Repeated-measures, longitudinal, single-arm study. SETTING: Long-term residential care of older adults. PARTICIPANTS: Nursing staff from 23 nursing homes recruited 139 residents taking regular antipsychotic medication for ≥3 months, without primary psychotic illness, such as schizophrenia or bipolar disorder, or severe BPSD. INTERVENTION: An antipsychotic deprescribing protocol was established. Education of general practitioners, pharmacists, and residential care nurses focused on nonpharmacological prevention and management of BPSD. MEASUREMENTS: The primary outcome was antipsychotic use over 12-month follow-up; secondary outcomes were BPSD (Neuropsychiatric Inventory, Cohen-Mansfield Agitation Inventory, and social withdrawal) and adverse outcomes (falls, hospitalizations, and cognitive decline). RESULTS: The number of older adults on regular antipsychotics over 12 months reduced by 81.7% (95% confidence interval: 72.4-89.0). Withdrawal was not accompanied by drug substitution or a significant increase in pro-re-nata antipsychotic or benzodiazepine administration. There was no change in BPSD or in adverse outcomes. CONCLUSION: In a selected sample of older adults living in long-term residential care, sustained reduction in regular antipsychotic use is feasible without an increase of BPSD.


Subject(s)
Antipsychotic Agents/administration & dosage , Dementia/drug therapy , Dementia/psychology , Deprescriptions , Nursing Homes , Accidental Falls/statistics & numerical data , Aged , Aged, 80 and over , Australia , Drug Utilization/statistics & numerical data , Female , Health Personnel/education , Hospitalization/statistics & numerical data , Humans , Longitudinal Studies , Male , Middle Aged , Neuropsychological Tests
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