Slow Gait Speed and Risk of Mortality or Hospital Readmission After Myocardial Infarction in the Translational Research Investigating Underlying Disparities in Recovery from Acute Myocardial Infarction: Patients' Health Status Registry

Objectives To determine the prognostic value of slow gait in predicting outcomes 1 year after acute myocardial infarction (AMI). Design Observational cohort with longitudinal follow‐up. Setting Twenty‐four U.S. hospitals participating in the Translational Research Investigating Underlying disparitie...

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Vydáno v:Journal of the American Geriatrics Society (JAGS) Ročník 64; číslo 3; s. 596 - 601
Hlavní autoři: Dodson, John A., Arnold, Suzanne V., Gosch, Kensey L., Gill, Thomas M., Spertus, John A., Krumholz, Harlan M., Rich, Michael W., Chaudhry, Sarwat I., Forman, Daniel E., Masoudi, Frederick A., Alexander, Karen P.
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States Blackwell Publishing Ltd 01.03.2016
Wiley Subscription Services, Inc
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ISSN:0002-8614, 1532-5415
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Abstract Objectives To determine the prognostic value of slow gait in predicting outcomes 1 year after acute myocardial infarction (AMI). Design Observational cohort with longitudinal follow‐up. Setting Twenty‐four U.S. hospitals participating in the Translational Research Investigating Underlying disparities in recovery from acute Myocardial infarction: Patients' Health status Registry. Participants Older adults (≥65) with in‐home gait assessment 1 month after AMI (N = 338). Measurements Baseline characteristics and 1‐year mortality or hospital readmission adjusted using Cox proportional hazards regression in older adults with slow (<0.8 m/s) versus preserved (≥0.8 m/s) gait speed. Results Slow gait was present in 181 participants (53.6%). Those with slow gait were older, more likely to be female and nonwhite, and had a higher prevalence of heart failure and diabetes mellitus. They were also more likely to die or be readmitted to the hospital within 1 year than those with preserved gait (35.4% vs 18.5%, log‐rank P = .006). This association remained significant after adjusting for age, sex, and race (slow vs preserved gait hazard ratio (HR) = 1.76, 95% confidence interval (CI)=1.08–2.87, P = .02) but was no longer significant after adding clinical factors (HR = 1.23, 95% CI=0.74–2.04, P = .43). Conclusion Slow gait, a marker of frailty, is common 1 month after AMI in older adults and is associated with nearly twice the risk of dying or hospital readmission at 1 year. Understanding its prognostic importance independent of comorbidities and whether routine testing of gait speed can improve care requires further investigation.
AbstractList Objectives To determine the prognostic value of slow gait in predicting outcomes 1 year after acute myocardial infarction (AMI). Design Observational cohort with longitudinal follow-up. Setting Twenty-four U.S. hospitals participating in the Translational Research Investigating Underlying disparities in recovery from acute Myocardial infarction: Patients' Health status Registry. Participants Older adults (≥65) with in-home gait assessment 1 month after AMI (N = 338). Measurements Baseline characteristics and 1-year mortality or hospital readmission adjusted using Cox proportional hazards regression in older adults with slow (<0.8 m/s) versus preserved (≥0.8 m/s) gait speed. Results Slow gait was present in 181 participants (53.6%). Those with slow gait were older, more likely to be female and nonwhite, and had a higher prevalence of heart failure and diabetes mellitus. They were also more likely to die or be readmitted to the hospital within 1 year than those with preserved gait (35.4% vs 18.5%, log-rank P = .006). This association remained significant after adjusting for age, sex, and race (slow vs preserved gait hazard ratio (HR) = 1.76, 95% confidence interval (CI)=1.08-2.87, P = .02) but was no longer significant after adding clinical factors (HR = 1.23, 95% CI=0.74-2.04, P = .43). Conclusion Slow gait, a marker of frailty, is common 1 month after AMI in older adults and is associated with nearly twice the risk of dying or hospital readmission at 1 year. Understanding its prognostic importance independent of comorbidities and whether routine testing of gait speed can improve care requires further investigation.
Objectives To determine the prognostic value of slow gait in predicting outcomes 1 year after acute myocardial infarction (AMI). Design Observational cohort with longitudinal follow‐up. Setting Twenty‐four U.S. hospitals participating in the Translational Research Investigating Underlying disparities in recovery from acute Myocardial infarction: Patients' Health status Registry. Participants Older adults (≥65) with in‐home gait assessment 1 month after AMI (N = 338). Measurements Baseline characteristics and 1‐year mortality or hospital readmission adjusted using Cox proportional hazards regression in older adults with slow (<0.8 m/s) versus preserved (≥0.8 m/s) gait speed. Results Slow gait was present in 181 participants (53.6%). Those with slow gait were older, more likely to be female and nonwhite, and had a higher prevalence of heart failure and diabetes mellitus. They were also more likely to die or be readmitted to the hospital within 1 year than those with preserved gait (35.4% vs 18.5%, log‐rank P = .006). This association remained significant after adjusting for age, sex, and race (slow vs preserved gait hazard ratio (HR) = 1.76, 95% confidence interval (CI)=1.08–2.87, P = .02) but was no longer significant after adding clinical factors (HR = 1.23, 95% CI=0.74–2.04, P = .43). Conclusion Slow gait, a marker of frailty, is common 1 month after AMI in older adults and is associated with nearly twice the risk of dying or hospital readmission at 1 year. Understanding its prognostic importance independent of comorbidities and whether routine testing of gait speed can improve care requires further investigation.
OBJECTIVESTo determine the prognostic value of slow gait in predicting outcomes 1 year after acute myocardial infarction (AMI).DESIGNObservational cohort with longitudinal follow-up.SETTINGTwenty-four U.S. hospitals participating in the Translational Research Investigating Underlying disparities in recovery from acute Myocardial infarction: Patients' Health status Registry.PARTICIPANTSOlder adults (≥65) with in-home gait assessment 1 month after AMI (N = 338).MEASUREMENTSBaseline characteristics and 1-year mortality or hospital readmission adjusted using Cox proportional hazards regression in older adults with slow (<0.8 m/s) versus preserved (≥0.8 m/s) gait speed.RESULTSSlow gait was present in 181 participants (53.6%). Those with slow gait were older, more likely to be female and nonwhite, and had a higher prevalence of heart failure and diabetes mellitus. They were also more likely to die or be readmitted to the hospital within 1 year than those with preserved gait (35.4% vs 18.5%, log-rank P = .006). This association remained significant after adjusting for age, sex, and race (slow vs preserved gait hazard ratio (HR) = 1.76, 95% confidence interval (CI)=1.08-2.87, P = .02) but was no longer significant after adding clinical factors (HR = 1.23, 95% CI=0.74-2.04, P = .43).CONCLUSIONSlow gait, a marker of frailty, is common 1 month after AMI in older adults and is associated with nearly twice the risk of dying or hospital readmission at 1 year. Understanding its prognostic importance independent of comorbidities and whether routine testing of gait speed can improve care requires further investigation.
To determine the prognostic value of slow gait in predicting outcomes 1 year after acute myocardial infarction (AMI). Observational cohort with longitudinal follow-up. Twenty-four U.S. hospitals participating in the Translational Research Investigating Underlying disparities in recovery from acute Myocardial infarction: Patients' Health status Registry. Older adults (≥65) with in-home gait assessment 1 month after AMI (N = 338). Baseline characteristics and 1-year mortality or hospital readmission adjusted using Cox proportional hazards regression in older adults with slow (<0.8 m/s) versus preserved (≥0.8 m/s) gait speed. Slow gait was present in 181 participants (53.6%). Those with slow gait were older, more likely to be female and nonwhite, and had a higher prevalence of heart failure and diabetes mellitus. They were also more likely to die or be readmitted to the hospital within 1 year than those with preserved gait (35.4% vs 18.5%, log-rank P = .006). This association remained significant after adjusting for age, sex, and race (slow vs preserved gait hazard ratio (HR) = 1.76, 95% confidence interval (CI)=1.08-2.87, P = .02) but was no longer significant after adding clinical factors (HR = 1.23, 95% CI=0.74-2.04, P = .43). Slow gait, a marker of frailty, is common 1 month after AMI in older adults and is associated with nearly twice the risk of dying or hospital readmission at 1 year. Understanding its prognostic importance independent of comorbidities and whether routine testing of gait speed can improve care requires further investigation.
Author Rich, Michael W.
Gill, Thomas M.
Chaudhry, Sarwat I.
Dodson, John A.
Spertus, John A.
Alexander, Karen P.
Gosch, Kensey L.
Masoudi, Frederick A.
Arnold, Suzanne V.
Krumholz, Harlan M.
Forman, Daniel E.
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  organization: Division of Cardiology, Department of Medicine, School of Medicine, Duke University, North Carolina, Durham
BackLink https://www.ncbi.nlm.nih.gov/pubmed/26926309$$D View this record in MEDLINE/PubMed
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Keywords coronary artery disease
older adults
frailty
outcomes
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PublicationCentury 2000
PublicationDate 2016-03
March 2016
2016-03-00
2016-Mar
20160301
PublicationDateYYYYMMDD 2016-03-01
PublicationDate_xml – month: 03
  year: 2016
  text: 2016-03
PublicationDecade 2010
PublicationPlace United States
PublicationPlace_xml – name: United States
– name: New York
PublicationTitle Journal of the American Geriatrics Society (JAGS)
PublicationTitleAlternate J Am Geriatr Soc
PublicationYear 2016
Publisher Blackwell Publishing Ltd
Wiley Subscription Services, Inc
Publisher_xml – name: Blackwell Publishing Ltd
– name: Wiley Subscription Services, Inc
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Barzilay JI, Blaum C, Moore T et al. Insulin resistance and inflammation as precursors of frailty: The Cardiovascular Health Study. Arch Intern Med 2007;167:635-641.
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2009; 64A
2011; 305
2008; 63A
2012; 157
2011; 66A
1995; 43
2005; 53
2003; 26
2008; 24
2012; 5
2005; 60A
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19164276 - J Gerontol A Biol Sci Med Sci. 2009 Jan;64(1):61-8
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References_xml – reference: Schisterman EF, Whitcomb BW. Use of the social security administration death master file for ascertainment of mortality status. Popul Health Metr 2004;2:2.
– reference: Flint KM, Matlock DD, Lindenfeld J et al. Frailty and the selection of patients for destination therapy left ventricular assist device. Circ Heart Fail 2012;5:286-293.
– reference: Volpato S, Cavalieri M, Guerra G et al. Performance-based functional assessment in older hospitalized patients: Feasibility and clinical correlates. J Gerontol A Biol Sci Med Sci 2008;63A:1393-1398.
– reference: Rothman MD, Leo-Summers L, Gill TM. Prognostic significance of potential frailty criteria. J Am Geriatr Soc 2008;56:2211-2216.
– reference: Bueno H, Ross JS, Wang Y et al. Trends in length of stay and short-term outcomes among Medicare patients hospitalized for heart failure, 1993-2006. JAMA 2010;303:2141-2147.
– reference: Morley JE. Diabetes, sarcopenia, and frailty. Clin Geriatr Med 2008;24:455-469.
– reference: Dumurgier J, Elbaz A, Ducimetiere P et al. Slow walking speed and cardiovascular death in well functioning older adults: Prospective cohort study. BMJ 2009;339:b4460.
– reference: Arnold SV, Chan PS, Jones PG et al. Translational research investigating underlying disparities in acute myocardial infarction patients' health status (TRIUMPH): Design and rationale of a prospective multicenter registry. Circ Cardiovasc Qual Outcomes 2011;4:467-476.
– reference: Jiang HJ, Stryer D, Friedman B et al. Multiple hospitalizations for patients with diabetes. Diabetes Care 2003;26:1421-1426.
– reference: Ostir GV, Berges I, Kuo YF et al. Assessing gait speed in acutely ill older patients admitted to an acute care for elders hospital unit. Arch Intern Med 2012;172:353-358.
– reference: Prvu Bettger J, Alexander KP, Dolor RJ et al. Transitional care after hospitalization for acute stroke or myocardial infarction: A systematic review. Ann Intern Med 2012;157:407-416.
– reference: Gill TM, Williams CS, Tinetti ME. Assessing risk for the onset of functional dependence among older adults: The role of physical performance. J Am Geriatr Soc 1995;43:603-609.
– reference: Afilalo J, Eisenberg MJ, Morin JF et al. Gait speed as an incremental predictor of mortality and major morbidity in elderly patients undergoing cardiac surgery. J Am Coll Cardiol 2010;56:1668-1676.
– reference: Kim H, Ross JS, Melkus GD et al. Scheduled and unscheduled hospital readmissions among patients with diabetes. Am J Manag Care 2010;16:760-767.
– reference: Hammill BG, Curtis LH, Schulman KA et al. Relationship between cardiac rehabilitation and long-term risks of death and myocardial infarction among elderly Medicare beneficiaries. Circulation 2010;121:63-70.
– reference: Cesari M, Kritchevsky SB, Penninx BW et al. Prognostic value of usual gait speed in well-functioning older people-results from the Health, Aging and Body Composition Study. J Am Geriatr Soc 2005;53:1675-1680.
– reference: Bradley EH, Curry L, Horwitz LI et al. Contemporary evidence about hospital strategies for reducing 30-day readmissions: A national study. J Am Coll Cardiol 2012;60:607-614.
– reference: Guralnik JM, Simonsick EM, Ferrucci L et al. A short physical performance battery assessing lower extremity function: Association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol 1994;49:M85-M94.
– reference: Pahor M, Blair SN, Espeland M et al. Effects of a physical activity intervention on measures of physical performance: Results of the Lifestyle Interventions and Independence for Elders Pilot (LIFE-P) study. J Gerontol A Biol Sci Med Sci 2006;61A:1157-1165.
– reference: Matsuzawa Y, Konishi M, Akiyama E et al. Association between gait speed as a measure of frailty and risk of cardiovascular events after myocardial infarction. J Am Coll Cardiol 2013;61:1964-1972.
– reference: Peterson MJ, Giuliani C, Morey MC et al. Physical activity as a preventative factor for frailty: The Health, Aging and Body Composition study. J Gerontol A Biol Sci Med Sci 2009;64A:61-68.
– reference: Fried LP, Tangen CM, Walston J et al. Frailty in older adults: Evidence for a phenotype. J Gerontol A Biol Sci Med Sci 2001;56A:M146-M156.
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Snippet Objectives To determine the prognostic value of slow gait in predicting outcomes 1 year after acute myocardial infarction (AMI). Design Observational cohort...
To determine the prognostic value of slow gait in predicting outcomes 1 year after acute myocardial infarction (AMI). Observational cohort with longitudinal...
Objectives To determine the prognostic value of slow gait in predicting outcomes 1 year after acute myocardial infarction (AMI). Design Observational cohort...
OBJECTIVESTo determine the prognostic value of slow gait in predicting outcomes 1 year after acute myocardial infarction (AMI).DESIGNObservational cohort with...
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StartPage 596
SubjectTerms Adults
Aged
Aged, 80 and over
coronary artery disease
Diabetes
Female
Follow-Up Studies
frailty
Gait
Health disparities
Health status
Health Status Disparities
Heart attacks
Heart failure
Hospitalization
Hospitals
Humans
Longitudinal Studies
Male
Medical prognosis
Mortality
Myocardial infarction
Myocardial Infarction - mortality
Myocardial Infarction - physiopathology
older adults
Older people
outcomes
Patient Readmission - statistics & numerical data
Patients
Prognosis
Proportional Hazards Models
Race
Readmission
Recovery
Recovery of Function
Registries
Rehabilitation
Risk Factors
Translational Medical Research
United States
Walking
Title Slow Gait Speed and Risk of Mortality or Hospital Readmission After Myocardial Infarction in the Translational Research Investigating Underlying Disparities in Recovery from Acute Myocardial Infarction: Patients' Health Status Registry
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https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fjgs.14016
https://www.ncbi.nlm.nih.gov/pubmed/26926309
https://www.proquest.com/docview/1774716923
https://www.proquest.com/docview/1775377805
https://www.proquest.com/docview/1904773154
Volume 64
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