期刊论文详细信息
BMC Health Services Research
Design and rationale of the comprehensive evaluation of risk factors in older patients with AMI (SILVER-AMI) study
Sarwat I Chaudhry3  Thomas M Gill1  Mary E Tinetti1  Denise Acampora1  Sui W Tsang1  Peter Charpentier1  Heather G Allore1  Terrence E Murphy1  Nancy Lorenze1  Harlan M Krumholz4  Mary Geda1  John A Dodson2 
[1]Section of Geriatrics, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, USA
[2]Leon H Charney Division of Cardiology, Department of Medicine, New York University School of Medicine, New York, NY, USA
[3]Section of General Internal Medicine, Yale University School of Medicine, Harkness Office Building, Room 411, New Haven 06520, CT, USA
[4]Department of Health Policy and Administration, Yale School of Public Health, New Haven, CT, USA
关键词: Health status;    Hospital readmission;    Aging;    Acute myocardial infarction;   
Others  :  1092337
DOI  :  10.1186/s12913-014-0506-4
 received in 2014-06-14, accepted in 2014-10-09,  发布年份 2014
PDF
【 摘 要 】

Background

While older adults (age 75 and over) represent a large and growing proportion of patients with acute myocardial infarction (AMI), they have traditionally been under-represented in cardiovascular studies. Although chronological age confers an increased risk for adverse outcomes, our current understanding of the heterogeneity of this risk is limited. The Comprehensive Evaluation of Risk Factors in Older Patients with AMI (SILVER-AMI) study was designed to address this gap in knowledge by evaluating risk factors (including geriatric impairments, such as muscle weakness and cognitive impairments) for hospital readmission, mortality, and health status decline among older adults hospitalized for AMI.

Methods/Design

SILVER-AMI is a prospective cohort study that is enrolling 3000 older adults hospitalized for AMI from a recruitment network of approximately 70 community and academic hospitals across the United States. Participants undergo a comprehensive in-hospital assessment that includes clinical characteristics, geriatric impairments, and health status measures. Detailed medical record abstraction complements the assessment with diagnostic study results, in-hospital procedures, and medications. Participants are subsequently followed for six months to determine hospital readmission, mortality, and health status decline. Multivariable regression will be used to develop risk models for these three outcomes.

Discussion

SILVER-AMI will fill critical gaps in our understanding of AMI in older patients. By incorporating geriatric impairments into our understanding of post-AMI outcomes, we aim to create a more personalized assessment of risk and identify potential targets for interventions.

Trial registration

Trial registration number: NCT01755052 webcite.

【 授权许可】

   
2014 Dodson et al.; licensee BioMed Central Ltd.

【 预 览 】
附件列表
Files Size Format View
20150128182658212.pdf 1279KB PDF download
Figure 3. 66KB Image download
Figure 2. 69KB Image download
Figure 1. 53KB Image download
【 图 表 】

Figure 1.

Figure 2.

Figure 3.

【 参考文献 】
  • [1]Anderson JL, Adams CD, Antman EM, Bridges CR, Califf RM, Casey DR, Chavey WE, Fesmire FM, Hochman JS, Levin TN, Lincoff AM, Peterson ED, Theroux P, Wenger NK, Wright RS: 2011 ACCF/AHA focused update incorporated into the ACC/AHA 2007 guidelines for the management of patients with unstable angina/non–ST-elevation myocardial infarction: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. Circulation 2011, 123:e426-e579.
  • [2]Odden MC, Coxson PG, Moran A, Lightwood JM, Goldman L, Bibbins-Domingo K: The impact of the aging population on coronary heart disease in the United States. Am J Med 2011, 124:827-833. e5
  • [3]Forman DE, Rich MW, Alexander KP, Zieman S, Maurer MS, Najjar SS, Cleveland JC Jr, Krumholz HM, Wenger NK: Cardiac care for older adults: time for a new paradigm. J Am Coll Cardiol 2011, 57:1801-1810.
  • [4]Wang TY, Gutierrez A, Peterson ED: Percutaneous coronary intervention in the elderly. Nat Rev Cardiol 2011, 8:79-90.
  • [5]Kansagara D, Englander H, Salanitro A, Kagen D, Theobald C, Freeman M, Kripalani S: Risk prediction models for hospital readmission: a systematic review. J Am Med Assoc 2011, 306:1688-1698.
  • [6]Lenderink T, Hernández AV, Boersma E, Martínez-Sellés M, Juárez M, Sánchez PL, Vidán MT, Simoons ML, Fernández-Avilés F, Bueno H: Prediction of 30-day mortality in older patients with a first acute myocardial infarction. Cardiology 2010, 115:1-9.
  • [7]Rathore SS, Weinfurt KP, Foody JM, Krumholz HM: Performance of the Thrombolysis in Myocardial Infarction (TIMI) ST-elevation myocardial infarction risk score in a national cohort of elderly patients. Am Heart J 2005, 150:402-410.
  • [8]Lichtman JH, Lorenze NP, D’Onofrio G, Spertus JA, Lindau ST, Morgan TM, Herrin J, Bueno H, Mattera JA, Ridker PM, Krumholz HM: Variation in recovery: role of gender on outcomes of young ami patients (VIRGO) study design. Circ Cardiovasc Qual Outcomes 2010, 3:684-693.
  • [9]Thygesen K, Alpert JS, Jaffe AS, Simoons ML, Chaitman BR, White HD, Thygesen K, Alpert JS, White HD, Jaffe AS, Katus HA, Apple FS, Lindahl B, Morrow DA, Chaitman BR, Clemmensen PM, Johanson P, Hod H, Underwood R, Bax JJ, Bonow JJ, Pinto F, Gibbons RJ, Fox KA, et al.: Third universal definition of myocardial infarction. Circulation 2012, 126:2020-2035.
  • [10]Jeste DV, Palmer BW, Appelbaum PS, Golshan S, Glorioso D, Dunn LB, Kim K, Meeks T, Kraemer HC: A new brief instrument for assessing decisional capacity for clinical research. Arch Gen Psychiatry 2007, 64:966-974.
  • [11]Ware JE, Kosinski MMA, Keller SD: A 12-item short-form health survey: construction of scales and preliminary tests of validity. Med Care 1996, 34:220-233.
  • [12]Spertus JA, Winder JA, Dewhurst TA, Deyo RA, Prodzinski J, McDonell M, Fihn SD: Development and evaluation of the Seattle Angina Questionnaire: a new functional status measure for coronary artery disease. J Am Coll Cardiol 1995, 25:333-341.
  • [13]Bruera E, Kuehn N, Miller MJ, Selmser P, Macmillan K: The Edmonton Symptom Assessment System (ESAS): a simple method for the assessment of palliative care patients. J Palliat Care 1991, 7:6-9.
  • [14]Rozanski A, Blumenthal JA, Kaplan J: Impact of psychological factors on the pathogenesis of cardiovascular disease and implications for therapy. Circulation 1999, 99:2192-2217.
  • [15]Kroenke K, Strine TW, Spitzer RL, Williams JB, Berry JT, Mokdad AH: The PHQ-8 as a measure of current depression in the general population. J Affect Disord 2009, 114:163-173.
  • [16]Sherbourne CD, Stewart AL: The MOS social support survey. Soc Sci Med 1991, 32:705-714.
  • [17]Brandt J, Spencer M, Folstein M: The telephone interview for cognitive status. Neuropsychiatry Neuropsychol Behav Neurol 1988, 1:111-118.
  • [18]Fong TG, Fearing MA, Jones RN, Shi P, Marcantonio ER, Rudolph JL, Yang FM, Kiely DK, Inouye SK: Telephone interview for cognitive status: creating a crosswalk with the mini-mental state examination. Alzheimers Dement 2009, 5:492-497.
  • [19]Rodriguez-Aranda C, Martinussen M: Age-related differences in performance of phonemic verbal fluency measured by Controlled Oral Word Association Task (COWAT): a meta-analytic study. Dev Neuropsychol 2006, 30:697-717.
  • [20]Mangione CM, Lee PP, Gutierrez PR, Spritzer K, Berry S, Hays RD: Development of the 25-list-item national eye institute visual function questionnaire. Arch Ophthalmol 2001, 119:1050-1058.
  • [21]Gates GA, Murphy M, Rees TS, Fraher A: Screening for handicapping hearing loss in the elderly. J Fam Pract 2003, 52:56-62.
  • [22]Rantanen T, Guralnik JM, Foley D, Masaki K, Leveille S, Curb JD, White L: Midlife hand grip strength as a predictor of old age disability. J Am Med Assoc 1999, 281:558-560.
  • [23]Viccaro LJ, Perera S, Studenski SA: Is timed up and go better than gait speed in predicting health, function, and falls in older adults? J Am Geriatr Soc 2011, 59:887-892.
  • [24]Katz S: Assessing self-maintenance: activities of daily living, mobility, and instrumental activities of daily living. J Am Geriatr Soc 1983, 31:721-727.
  • [25]Spertus J, Peterson E, Conard MW, Heidenreich PA, Krumholz HM, Jones P, McCullough PA, Pina I, Tooley J, Weintraub WS, Rumsfeld JS: Monitoring clinical changes in patients with heart failure: a comparison of methods. Am Heart J 2005, 150:707-715.
  • [26]Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG: Research electronic data capture (REDCap) - a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform 2009, 42:377-381.
  • [27]Fine JP, Gray RJ: A proportional hazards model for the subdistribution of a competing risk. J Am Stat Assoc 1999, 94:496-509.
  • [28]Efron B: The Jacknife, the Bootstrap, and Other Resampling Plans. CBMS-NSF Regional Conference Series in Applied Mathematics. 6th edition. Capital City Press, Montpelier, Vermont; 1994.
  • [29]Arnold SV, Alexander KP, Masoudi FA, Ho PM, Xiao L, Spertus JA: The effect of age on functional and mortality outcomes after acute myocardial infarction. J Am Geriatr Soc 2009, 57:209-217.
  • [30]Regression Modeling Strategies: With Applications to Linear Models, Logistic Regression, and Survival Analysis. Springer, New York; 2001.
  • [31]Arnold SV, Chan PS, Jones PG, Decker C, Buchanan DM, Krumholz HM, Ho PM, Spertus JA: 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.
  • [32]Waring ME, McManus RH, Saczynski JS, Anatchkova MD, McManus DD, Devereaux RS, Goldberg RJ, Allison JJ, Kiefe CI: Transitions, risks, and actions in coronary events—center for outcomes research and education (TRACE-CORE): design and rationale. Circ Cardiovasc Qual Outcomes 2012, 5:e44-e50.
  • [33]Meyers AG, Salanitro A, Wallston KA, Cawthon C, Vasilevskis EE, Goggins KM, Davis CM, Rothman RL, Castel LD, Donato KM, Schnelle JF, Bell SP, Schildcrout JS, Osborn CY, Harrell FE, Kripalani S: Determinants of health after hospital discharge: rationale and design of the vanderbilt inpatient cohort study (VICS). BMC Health Serv Res 2014, 14:10. BioMed Central Full Text
  • [34]Extermann M, Hurria A: Comprehensive geriatric assessment for older patients with cancer. J Clin Oncol 2007, 25:1824-1831.
  • [35]Fried TR, McGraw S, Agostini JV, Tinetti ME: Views of older persons with multiple morbidities on competing outcomes and clinical decision-making. J Am Geriatr Soc 2008, 56:1839-1844.
  • [36]Wilson PWF, D’Agostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB: Prediction of coronary heart disease using risk factor categories. Circulation 1998, 97:1837-1847.
  • [37]Antman EM, Cohen M, Bernink PJLM, McCabe CH, Horacek T, Papuchis G, Mautner B, Corbalan R, Radley D, Braunwald E: The TIMI risk score for unstable angina/non-ST elevation MI: a method for prognostication and therapeutic decision making. J Am Med Assoc 2000, 284:835-842.
  文献评价指标  
  下载次数:64次 浏览次数:31次