Dataset Information

Muscle, Health and Costs: A Glance at their Relationship.

ABSTRACT: OBJECTIVE:To assess the association between muscle parameters (mass, strength, physical performance) and activities of daily living (ADL), quality of life (QoL), and health care costs. DESIGN:Cross-sectional Maastricht Sarcopenia Study (MaSS). SETTING:Community-dwelling, assisted-living, residential living facility. PARTICIPANTS:227 adults aged 65 and older. MEASUREMENTS:Muscle mass, hand grip strength and physical performance were assessed by bio-electrical impedance, JAMAR dynamometer and the Short Physical Performance Battery, respectively. Health outcomes were measured by the Groningen Activity Restriction Scale (disability in ADL) and the EQ-5D-5L (QoL). Health care costs were calculated based on health care use in the past three months. RESULTS:Muscle strength and physical performance showed a strong correlation with ADL, QoL, and health care costs (P<.01); for muscle mass no significant correlations were observed. Regression analyses showed that higher gait speed (OR 0.06, 95%CI 0.01-0.55) was associated with a lower probability of ADL disability. Furthermore, slower chair stand (OR 1.23, 95%CI 1.08-1.42), and more comorbidities (OR 1.58, 95%CI 1.23-2.02) were explanatory factors for higher ADL disability. Explanatory factors for QoL and costs were: more disability in ADL (OR 1.26, 95%CI 1.12-1.41 for QoL; B = 0.09, P<.01 for costs) and more comorbidities (OR 1.44, 95%CI 1.14-1.82 for QoL; B = 0.35, P<.01 for costs). CONCLUSION:Lower gait speed and chair stand were potential drivers of disability in ADL. Disability in ADL and comorbidities were associated with QoL and health care costs in community-dwelling older adults. Improving physical performance may be a valuable target for future intervention and research to impact health burden and costs.

SUBMITTER: Mijnarends DM

PROVIDER: S-EPMC6061527 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Muscle, Health and Costs: A Glance at their Relationship.

Mijnarends D M DM Luiking Y C YC Halfens R J G RJG Evers S M A A SMAA Lenaerts E L A ELA Verlaan S S Wallace M M Schols J M G A JMGA Meijers J M M JMM

The journal of nutrition, health & aging 20180101 7

<h4>Objective</h4>To assess the association between muscle parameters (mass, strength, physical performance) and activities of daily living (ADL), quality of life (QoL), and health care costs.<h4>Design</h4>Cross-sectional Maastricht Sarcopenia Study (MaSS).<h4>Setting</h4>Community-dwelling, assisted-living, residential living facility.<h4>Participants</h4>227 adults aged 65 and older.<h4>Measurements</h4>Muscle mass, hand grip strength and physical performance were assessed by bio-electrical i ...[more]

PMID: 30080217

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Project description:BACKGROUND AND OBJECTIVES:An understanding of the health care resource use associated with AKI is needed to frame the investment and cost-effectiveness of strategies to prevent AKI and promote kidney recovery. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS:We assembled population-based cohort of adults hospitalized in Alberta between November of 2002 and March of 2009 without ESRD or an eGFR<15 ml/min per 1.73 m2. Outpatient serum creatinine measurements 6 months preceding admission defined baseline kidney function, and serum creatinine during the first 14 days of hospitalization defined Acute Kidney Injury Network stage; kidney recovery defined as serum creatinine within 25% of baseline and independence from dialysis was assessed at 90 days after AKI. Health care utilization and costs (in 2015 Canadian dollars) were determined from inpatient, outpatient, and physician claims datasets during the index hospitalization, recovery period (90 days post-AKI assessment), and 3-12 months post-AKI. A fully adjusted generalized linear model regression analysis was used to estimate costs associated with AKI. RESULTS:Of 239,906 hospitalized subjects, 25,495 (10.6%), 4598 (1.9%), 2493 (1.0%), and 670 (0.3%) had Acute Kidney Injury Network stages 1, 2, 3 without dialysis, and 3 with dialysis, respectively. Greater severity of AKI was associated with incremental increases in length of stay (+2.8; 95% confidence interval, 1.4 to 4.3 to +7.4; 95% confidence interval, 7.2 to 7.5 days) and costs (+$3779; 95% confidence interval, $3555 to $4004 to +$18,291; 95% confidence interval, $15,573 to $21,009 Canadian dollars) from admission to recovery assessment (3 months). At months 3-12 postadmission, compared with subjects without AKI, AKI with kidney recovery and AKI without kidney recovery were associated with incremental costs of +$2912-$3231 and +$6035-$8563 Canadian dollars, respectively. The estimated incremental cost of AKI in Canada is estimated to be over $200 million Canadian dollars per year. CONCLUSIONS:Severity of AKI, need for dialysis, and lack of kidney recovery are associated with significant health care costs in hospitalized patients and persist a year after admission. Strategies to identify, prevent, and facilitate kidney recovery are needed.

Dataset Information

Muscle, Health and Costs: A Glance at their Relationship.

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Muscle, Health and Costs: A Glance at their Relationship.

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