Prediction of Fracture in Nursing Home Residents

OBJECTIVES: TTo investigate cross‐validated methods of identifying patients at increased risk of fracture in nursing homes using readily available data.

[1]  J. Chandler,et al.  Effect of fracture on the health care use of nursing home residents. , 2002, Archives of internal medicine.

[2]  J. Chandler,et al.  Low bone mineral density and risk of fracture in white female nursing home residents. , 2000, JAMA.

[3]  E. Vittinghoff,et al.  Urinary Incontinence: Does it Increase Risk for Falls and Fractures? , 2000, Journal of the American Geriatrics Society.

[4]  A. Tubaro Early prostate-specific antigen relapse after radical retropubic prostatectomy: prediction on the basis of preoperative and postoperative tumor characteristics , 2000 .

[5]  J. Chandler,et al.  Measurement of distal forearm bone mineral density: can different forearm segments be used interchangeably ? , 1999, Journal of clinical densitometry : the official journal of the International Society for Clinical Densitometry.

[6]  K R Hess,et al.  Classification and regression tree analysis of 1000 consecutive patients with unknown primary carcinoma. , 1999, Clinical cancer research : an official journal of the American Association for Cancer Research.

[7]  A. Haese*,et al.  Early Prostate-Specific Antigen Relapse after Radical Retropubic Prostatectomy:Prediction on the Basis of Preoperative andPostoperative Tumor Characteristics , 1999, European Urology.

[8]  B. Winblad,et al.  Cognitive impairment, drug use, and the risk of hip fracture in persons over 75 years old: a community-based prospective study. , 1998, American journal of epidemiology.

[9]  R. Casten,et al.  Psychometric Characteristics of the Minimum Data Set II: Validity , 1998, Journal of the American Geriatrics Society.

[10]  W C Hayes,et al.  Fall direction, bone mineral density, and function: risk factors for hip fracture in frail nursing home elderly. , 1998, The American journal of medicine.

[11]  D. Kiel,et al.  Identifying Nursing Home Residents at Risk for Falling , 1998, Journal of the American Geriatrics Society.

[12]  M S Calvo,et al.  Prevalence of Low Femoral Bone Density in Older U.S. Adults from NHANES III , 1997, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[13]  R. Epstein,et al.  Excess mortality attributable to hip fracture in white women aged 70 years and older. , 1997, American journal of public health.

[14]  A. Dey Characteristics of elderly nursing home residents: data from the 1995 National Nursing Home Survey. , 1997, Advance data.

[15]  J. Hinde,et al.  Models for diagnosing chest pain: is CART helpful? , 1997, Statistics in medicine.

[16]  J. Kenzora,et al.  A Longitudinal Examination of Functional Recovery Among Older People with Subcapital Hip Fractures , 1997, Journal of the American Geriatrics Society.

[17]  R. Hamman,et al.  Population screening for glucose intolerant subjects using decision tree analyses. , 1996, Diabetes research and clinical practice.

[18]  O Johnell,et al.  Meta-analysis of how well measures of bone mineral density predict occurrence of osteoporotic fractures. , 1996, BMJ.

[19]  G. Breart,et al.  Fall-related factors and risk of hip fracture: the EPIDOS prospective study , 1996, The Lancet.

[20]  P. Tariot,et al.  Minimum Data Set Plus (MDS+) Scores Compared with Scores from Five Rating Scales , 1996, Journal of the American Geriatrics Society.

[21]  L. Melton,et al.  Epidemiology of hip fractures: implications of the exponential increase with age. , 1996, Bone.

[22]  D. Kiel,et al.  An Epidemiologic Study of Fall‐Related Fractures Among Institutionalized Older People , 1995, Journal of the American Geriatrics Society.

[23]  P Glasziou,et al.  Classification trees for decision making in long-term care. , 1995, The journals of gerontology. Series A, Biological sciences and medical sciences.

[24]  R. D'Agostino,et al.  A comparison of performance of mathematical predictive methods for medical diagnosis: identifying acute cardiac ischemia among emergency department patients. , 1995, Journal of investigative medicine : the official publication of the American Federation for Clinical Research.

[25]  N R Temkin,et al.  Classification and regression trees (CART) for prediction of function at 1 year following head trauma. , 1995, Journal of neurosurgery.

[26]  T. Harris,et al.  Prevalence of low femoral bone density in older U.S. women from NHANES III , 1995, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[27]  P. Sloane,et al.  The MDS Cognition Scale: A Valid Instrument for Identifying and Staging Nursing Home Residents with Dementia Using the Minimum Data Set , 1994, Journal of the American Geriatrics Society.

[28]  R. Wallace,et al.  Costs and health effects of osteoporotic fractures. , 1994, Bone.

[29]  P. Jäntti,et al.  Falls among elderly nursing home residents. , 1993, Public health.

[30]  C. Cooper,et al.  Perspective how many women have osteoporosis? , 1992, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[31]  H K Genant,et al.  Axial and appendicular bone density predict fractures in older women , 1992, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.

[32]  S. Cummings,et al.  Which Fractures Are Associated with Low Appendicular Bone Mass in Elderly Women , 1991 .

[33]  M. V. Van Natta,et al.  Risk factors associated with falls and injuries among elderly institutionalized persons. , 1991, American journal of epidemiology.

[34]  S. Katz,et al.  Designing the national resident assessment instrument for nursing homes. , 1990, The Gerontologist.

[35]  C. Slemenda,et al.  Baseline measurement of bone mass predicts fracture in white women. , 1989, Annals of internal medicine.

[36]  G. Alexopoulos,et al.  Cornell scale for depression in dementia , 1988, Biological Psychiatry.

[37]  M. Tinetti Factors Associated with Serious Injury During Falls by Ambulatory Nursing Home Residents , 1987, Journal of the American Geriatrics Society.

[38]  Jeffrey A. Stem,et al.  A computer-derived protocol to aid in the diagnosis of emergency room patients with acute chest pain. , 1982, The New England journal of medicine.

[39]  S. Folstein,et al.  "Mini-mental state". A practical method for grading the cognitive state of patients for the clinician. , 1975, Journal of psychiatric research.

[40]  D. Kiel,et al.  Predicting Fractures Using Bone Mineral Density: A Prospective Study of Long-Term Care Residents , 2000, Osteoporosis International.

[41]  J. Chandler,et al.  The Prevalence of Osteoporosis in Nursing Home Residents , 1999, Osteoporosis International.

[42]  J. Chandler,et al.  Correlates of bone mineral density in nursing home residents. , 1999, The Journal of Nutrition, Health & Aging.

[43]  D W Bates,et al.  Can comorbidity be measured by questionnaire rather than medical record review? , 1996, Medical care.

[44]  P Laippala,et al.  Physiological factors and medications as predictors of injurious falls by elderly people: a prospective population-based study. , 1996, Age and ageing.

[45]  F. Fabris,et al.  Site-specific relative risk of fractures in the institutionalized elderly. , 1995, Gerontology.

[46]  C. Mackenzie,et al.  A new method of classifying prognostic comorbidity in longitudinal studies: development and validation. , 1987, Journal of chronic diseases.