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Published in: BMC Geriatrics 1/2011

Open Access 01-12-2011 | Research article

Patterns of comorbidity in community-dwelling older people hospitalised for fall-related injury: A cluster analysis

Authors: Trang Vu, Caroline F Finch, Lesley Day

Published in: BMC Geriatrics | Issue 1/2011

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Abstract

Background

Community-dwelling older people aged 65+ years sustain falls frequently; these can result in physical injuries necessitating medical attention including emergency department care and hospitalisation. Certain health conditions and impairments have been shown to contribute independently to the risk of falling or experiencing a fall injury, suggesting that individuals with these conditions or impairments should be the focus of falls prevention. Since older people commonly have multiple conditions/impairments, knowledge about which conditions/impairments coexist in at-risk individuals would be valuable in the implementation of a targeted prevention approach. The objective of this study was therefore to examine the prevalence and patterns of comorbidity in this population group.

Methods

We analysed hospitalisation data from Victoria, Australia's second most populous state, to estimate the prevalence of comorbidity in patients hospitalised at least once between 2005-6 and 2007-8 for treatment of acute fall-related injuries. In patients with two or more comorbid conditions (multicomorbidity) we used an agglomerative hierarchical clustering method to cluster comorbidity variables and identify constellations of conditions.

Results

More than one in four patients had at least one comorbid condition and among patients with comorbidity one in three had multicomorbidity (range 2-7). The prevalence of comorbidity varied by gender, age group, ethnicity and injury type; it was also associated with a significant increase in the average cumulative length of stay per patient. The cluster analysis identified five distinct, biologically plausible clusters of comorbidity: cardiopulmonary/metabolic, neurological, sensory, stroke and cancer. The cardiopulmonary/metabolic cluster was the largest cluster among the clusters identified.

Conclusions

The consequences of comorbidity clustering in terms of falls and/or injury outcomes of hospitalised patients should be investigated by future studies. Our findings have particular relevance for falls prevention strategies, clinical practice and planning of follow-up services for these patients.
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Literature
1.
go back to reference Campbell AJ, Borrie MJ, Spears GF: Risk factors for falls in a community-based prospective study of people 70 years and older. J Gerontol. 1989, 44 (4): M112-117.CrossRefPubMed Campbell AJ, Borrie MJ, Spears GF: Risk factors for falls in a community-based prospective study of people 70 years and older. J Gerontol. 1989, 44 (4): M112-117.CrossRefPubMed
2.
go back to reference Blake AJ, Morgan K, Bendall MJ, Dallosso H, Ebrahim SBJ, Arie THD, Fentem PH, Bassey EJ: Falls by elderly people at home: prevalence and associated factors. Age Ageing. 1988, 17 (6): 365-372. 10.1093/ageing/17.6.365.CrossRefPubMed Blake AJ, Morgan K, Bendall MJ, Dallosso H, Ebrahim SBJ, Arie THD, Fentem PH, Bassey EJ: Falls by elderly people at home: prevalence and associated factors. Age Ageing. 1988, 17 (6): 365-372. 10.1093/ageing/17.6.365.CrossRefPubMed
3.
go back to reference Tinetti ME, Speechley M, Ginter SF: Risk factors for falls among elderly persons living in the community. N Engl J Med. 1988, 319 (26): 1701-1707. 10.1056/NEJM198812293192604.CrossRefPubMed Tinetti ME, Speechley M, Ginter SF: Risk factors for falls among elderly persons living in the community. N Engl J Med. 1988, 319 (26): 1701-1707. 10.1056/NEJM198812293192604.CrossRefPubMed
4.
go back to reference Prudham D, Evans JG: Factors associated with falls in the elderly: a community study. Age Ageing. 1981, 10 (3): 141-146.CrossRefPubMed Prudham D, Evans JG: Factors associated with falls in the elderly: a community study. Age Ageing. 1981, 10 (3): 141-146.CrossRefPubMed
5.
go back to reference Lord SR, Sambrook PN, Gilbert C, Kelly PJ, Nguyen T, Webster IW, Eisman JA: Postural stability, falls and fractures in the elderly: results from the Dubbo Osteoporosis Epidemiology Study. Med J Aust. 1994, 160 (11): 684-685. 688-691PubMed Lord SR, Sambrook PN, Gilbert C, Kelly PJ, Nguyen T, Webster IW, Eisman JA: Postural stability, falls and fractures in the elderly: results from the Dubbo Osteoporosis Epidemiology Study. Med J Aust. 1994, 160 (11): 684-685. 688-691PubMed
6.
go back to reference Lord SR, Ward JA, Williams P, Anstey KJ: An epidemiological study of falls in older community-dwelling women: the Randwick falls and fractures study. Aust J Public Health. 1993, 17 (3): 240-245.CrossRefPubMed Lord SR, Ward JA, Williams P, Anstey KJ: An epidemiological study of falls in older community-dwelling women: the Randwick falls and fractures study. Aust J Public Health. 1993, 17 (3): 240-245.CrossRefPubMed
7.
go back to reference O'Loughlin JL, Robitaille Y, Boivin J-F, Suissa S: Incidence of and risk factors for falls and injurious falls among the community-dwelling elderly. Am J Epidemiol. 1993, 137 (3): 342-354.PubMed O'Loughlin JL, Robitaille Y, Boivin J-F, Suissa S: Incidence of and risk factors for falls and injurious falls among the community-dwelling elderly. Am J Epidemiol. 1993, 137 (3): 342-354.PubMed
8.
go back to reference Boyd R, Stevens J: Falls and fear of falling: burden, beliefs and behaviours. Age Ageing. 2009 Boyd R, Stevens J: Falls and fear of falling: burden, beliefs and behaviours. Age Ageing. 2009
9.
go back to reference Nevitt MC, Cummings SR, Kidd S, Black D: Risk factors for recurrent nonsyncopal falls: a prospective study. JAMA. 1989, 261 (18): 2663-2668. 10.1001/jama.261.18.2663.CrossRefPubMed Nevitt MC, Cummings SR, Kidd S, Black D: Risk factors for recurrent nonsyncopal falls: a prospective study. JAMA. 1989, 261 (18): 2663-2668. 10.1001/jama.261.18.2663.CrossRefPubMed
10.
go back to reference Downton JH, Andrews K: Prevalence, characteristics and factors associated with falls among the elderly living at home. Aging (Milano). 1991, 3 (3): 219-228. Downton JH, Andrews K: Prevalence, characteristics and factors associated with falls among the elderly living at home. Aging (Milano). 1991, 3 (3): 219-228.
11.
go back to reference Bergland A, Pettersen AM, Laake K: Falls reported among elderly Norwegians living at home. Physiother Res Int. 1998, 3 (3): 164-174. 10.1002/pri.138.CrossRefPubMed Bergland A, Pettersen AM, Laake K: Falls reported among elderly Norwegians living at home. Physiother Res Int. 1998, 3 (3): 164-174. 10.1002/pri.138.CrossRefPubMed
12.
go back to reference Salva A, Bolibar I, Pera G, Arias C: Incidence and consequences of falls among elderly people living in the community. Med Clin (Barc). 2004, 122 (5): 172-176. 10.1157/13057813. Salva A, Bolibar I, Pera G, Arias C: Incidence and consequences of falls among elderly people living in the community. Med Clin (Barc). 2004, 122 (5): 172-176. 10.1157/13057813.
15.
go back to reference Parekh AK, Barton MB: The challenge of multiple comorbidity for the US health care system. JAMA. 2010, 303 (13): 1303-1304. 10.1001/jama.2010.381.CrossRefPubMed Parekh AK, Barton MB: The challenge of multiple comorbidity for the US health care system. JAMA. 2010, 303 (13): 1303-1304. 10.1001/jama.2010.381.CrossRefPubMed
16.
go back to reference Berg WP, Alessio HM, Mills EM, Tong C: Circumstances and consequences of falls in independent community-dwelling older adults. Age Ageing. 1997, 26 (4): 261-268. 10.1093/ageing/26.4.261.CrossRefPubMed Berg WP, Alessio HM, Mills EM, Tong C: Circumstances and consequences of falls in independent community-dwelling older adults. Age Ageing. 1997, 26 (4): 261-268. 10.1093/ageing/26.4.261.CrossRefPubMed
17.
go back to reference Department of Human Services (DHS): VAED Manual. 2008, Melbourne: DHS, 18 Department of Human Services (DHS): VAED Manual. 2008, Melbourne: DHS, 18
18.
go back to reference Henderson T, Shepheard J, Sundararajan V: Quality of diagnosis and procedure coding in ICD-10 administrative data. Med Care. 2006, 44 (11): 1011-1019. 10.1097/01.mlr.0000228018.48783.34.CrossRefPubMed Henderson T, Shepheard J, Sundararajan V: Quality of diagnosis and procedure coding in ICD-10 administrative data. Med Care. 2006, 44 (11): 1011-1019. 10.1097/01.mlr.0000228018.48783.34.CrossRefPubMed
19.
go back to reference National Centre for Classification in Health (NCCH): The International Statistical Classification of Diseases and Related Health Problems, 10th Revision, Australian Modification (ICD-10-AM). 2004, Sydney: NCCH, Fourth National Centre for Classification in Health (NCCH): The International Statistical Classification of Diseases and Related Health Problems, 10th Revision, Australian Modification (ICD-10-AM). 2004, Sydney: NCCH, Fourth
20.
go back to reference National Centre for Classification in Health (NCCH): The International Statistical Classification of Diseases and Related Health Problems, 10th Revision, Australian Modification (ICD-10-AM). 2006, Sydney: NCCH, Fifth National Centre for Classification in Health (NCCH): The International Statistical Classification of Diseases and Related Health Problems, 10th Revision, Australian Modification (ICD-10-AM). 2006, Sydney: NCCH, Fifth
21.
go back to reference Bradley C, Pointer S: Hospitalisations due to falls by older people, Australia 2005-06. 2008, Adelaide: AIHW Bradley C, Pointer S: Hospitalisations due to falls by older people, Australia 2005-06. 2008, Adelaide: AIHW
22.
go back to reference Dodds MK, Codd MB, Looney A, Mulhall KJ: Incidence of hip fracture in the Republic of Ireland and future projections: a population-based study. Osteoporos Int. 2009, 20 (12): 2105-2110. 10.1007/s00198-009-0922-1.CrossRefPubMed Dodds MK, Codd MB, Looney A, Mulhall KJ: Incidence of hip fracture in the Republic of Ireland and future projections: a population-based study. Osteoporos Int. 2009, 20 (12): 2105-2110. 10.1007/s00198-009-0922-1.CrossRefPubMed
23.
go back to reference Australian Bureau of Statistics (ABS): An introduction to socio-economic indexes for areas (SEIFA). 2008, Canberra: ABS Australian Bureau of Statistics (ABS): An introduction to socio-economic indexes for areas (SEIFA). 2008, Canberra: ABS
24.
go back to reference Sundararajan V, Henderson T, Perry C, Muggivan A, Quan H, Ghali WA: New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality. J Clin Epidemiol. 2004, 57 (12): 1288-1294. 10.1016/j.jclinepi.2004.03.012.CrossRefPubMed Sundararajan V, Henderson T, Perry C, Muggivan A, Quan H, Ghali WA: New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality. J Clin Epidemiol. 2004, 57 (12): 1288-1294. 10.1016/j.jclinepi.2004.03.012.CrossRefPubMed
25.
go back to reference Brand CA, Sundararajan V: A 10-year cohort study of the burden and risk of in-hospital falls and fractures using routinely collected hospital data. Qual Saf Health Care. 2010 Brand CA, Sundararajan V: A 10-year cohort study of the burden and risk of in-hospital falls and fractures using routinely collected hospital data. Qual Saf Health Care. 2010
26.
go back to reference Preen DB, Holman CDAJ, Spilsbury K, Semmens JB, Brameld KJ: Length of comorbidity lookback period affected regression model performance of administrative health data. J Clin Epidemiol. 2006, 59 (9): 940-946. 10.1016/j.jclinepi.2005.12.013.CrossRefPubMed Preen DB, Holman CDAJ, Spilsbury K, Semmens JB, Brameld KJ: Length of comorbidity lookback period affected regression model performance of administrative health data. J Clin Epidemiol. 2006, 59 (9): 940-946. 10.1016/j.jclinepi.2005.12.013.CrossRefPubMed
27.
go back to reference Kaufman L, Rousseeuw PJ: Finding groups in data: An introduction to cluster analysis. 1990, New York: WileyCrossRef Kaufman L, Rousseeuw PJ: Finding groups in data: An introduction to cluster analysis. 1990, New York: WileyCrossRef
28.
go back to reference Vogeli C, Shields A, Lee T, Gibson T, Marder W, Weiss K, Blumenthal D: Multiple chronic conditions: prevalence, health consequences, and implications for quality, care management, and costs. J Gen Intern Med. 2007, 22 (0): 391-395.CrossRefPubMedPubMedCentral Vogeli C, Shields A, Lee T, Gibson T, Marder W, Weiss K, Blumenthal D: Multiple chronic conditions: prevalence, health consequences, and implications for quality, care management, and costs. J Gen Intern Med. 2007, 22 (0): 391-395.CrossRefPubMedPubMedCentral
29.
go back to reference Everitt BS, Landau S, Leese M: Cluster analysis. 2001, London: Arnold, 4 Everitt BS, Landau S, Leese M: Cluster analysis. 2001, London: Arnold, 4
30.
go back to reference Calinski T, Harabasz J: A dendrite method for cluster analysis. Communications in Statistics. 1974, 1-27. 3 Calinski T, Harabasz J: A dendrite method for cluster analysis. Communications in Statistics. 1974, 1-27. 3
31.
go back to reference Duda RO, Hart PE: Pattern classification and scene analysis. 1973, New York: John Wiley & Sons Duda RO, Hart PE: Pattern classification and scene analysis. 1973, New York: John Wiley & Sons
32.
go back to reference StataCorp: Stata Statistical Software: Release 11. 2009, College Station, TX: StataCorp LP StataCorp: Stata Statistical Software: Release 11. 2009, College Station, TX: StataCorp LP
33.
go back to reference Hartholt KA, van der Velde N, Looman CW, van Lieshout EM, Panneman MJ, van Beeck EF, Patka P, van der Cammen TJ: Trends in fall-related hospital admissions in older persons in the Netherlands. Arch Intern Med. 2010, 170 (10): 905-911. 10.1001/archinternmed.2010.106.CrossRefPubMed Hartholt KA, van der Velde N, Looman CW, van Lieshout EM, Panneman MJ, van Beeck EF, Patka P, van der Cammen TJ: Trends in fall-related hospital admissions in older persons in the Netherlands. Arch Intern Med. 2010, 170 (10): 905-911. 10.1001/archinternmed.2010.106.CrossRefPubMed
34.
go back to reference Mitchell R, Curtis K, Watson WL, Nau T: Age differences in fall-related injury hospitalisations and trauma presentations. Australas J Ageing. 2010, 29 (3): 117-125. 10.1111/j.1741-6612.2010.00413.x.CrossRefPubMed Mitchell R, Curtis K, Watson WL, Nau T: Age differences in fall-related injury hospitalisations and trauma presentations. Australas J Ageing. 2010, 29 (3): 117-125. 10.1111/j.1741-6612.2010.00413.x.CrossRefPubMed
35.
go back to reference Sattin RW, Lambert Huber DA, DeVito CA, Rodriguez JG, Ros A, Bacchelli S, Stevens JA, Waxweiler RJ: The incidence of fall injury events among the elderly in a defined population. Am J Epidemiol. 1990, 131 (6): 1028-1037.PubMed Sattin RW, Lambert Huber DA, DeVito CA, Rodriguez JG, Ros A, Bacchelli S, Stevens JA, Waxweiler RJ: The incidence of fall injury events among the elderly in a defined population. Am J Epidemiol. 1990, 131 (6): 1028-1037.PubMed
36.
go back to reference Kannegaard PN, van der Mark S, Eiken P, Abrahamsen B: Excess mortality in men compared with women following a hip fracture. National analysis of comedications, comorbidity and survival. Age Ageing. 2010, 39 (2): 203-209. 10.1093/ageing/afp221.CrossRefPubMed Kannegaard PN, van der Mark S, Eiken P, Abrahamsen B: Excess mortality in men compared with women following a hip fracture. National analysis of comedications, comorbidity and survival. Age Ageing. 2010, 39 (2): 203-209. 10.1093/ageing/afp221.CrossRefPubMed
37.
go back to reference Vestergaard P, Rejnmark L, Mosekilde L: Increased mortality in patients with a hip fracture-effect of pre-morbid conditions and post-fracture complications. Osteoporos Int. 2007, 18 (12): 1583-1593. 10.1007/s00198-007-0403-3.CrossRefPubMed Vestergaard P, Rejnmark L, Mosekilde L: Increased mortality in patients with a hip fracture-effect of pre-morbid conditions and post-fracture complications. Osteoporos Int. 2007, 18 (12): 1583-1593. 10.1007/s00198-007-0403-3.CrossRefPubMed
38.
go back to reference de Luise C, Brimacombe M, Pedersen L, Sorensen HT: Comorbidity and mortality following hip fracture: a population-based cohort study. Aging Clin Exp Res. 2008, 20 (5): 412-418.CrossRefPubMed de Luise C, Brimacombe M, Pedersen L, Sorensen HT: Comorbidity and mortality following hip fracture: a population-based cohort study. Aging Clin Exp Res. 2008, 20 (5): 412-418.CrossRefPubMed
39.
go back to reference Orces CH: Trends in hospitalization for fall-related injury among older adults in the United States, 1988-2005. Ageing Research. 2009, 1 (1): Orces CH: Trends in hospitalization for fall-related injury among older adults in the United States, 1988-2005. Ageing Research. 2009, 1 (1):
40.
go back to reference Peel NM, Kassulke DJ, McClure RJ: Population based study of hospitalised fall related injuries in older people. Inj Prev. 2002, 8 (4): 280-283. 10.1136/ip.8.4.280.CrossRefPubMedPubMedCentral Peel NM, Kassulke DJ, McClure RJ: Population based study of hospitalised fall related injuries in older people. Inj Prev. 2002, 8 (4): 280-283. 10.1136/ip.8.4.280.CrossRefPubMedPubMedCentral
41.
go back to reference Australian Institute of Health and Welfare (AIHW): Residential aged care in Australia 2007-08: a statistical overview. Aged care statistic series 28. Cat. no. AGE 58. 2009, Canberra: AIHW Australian Institute of Health and Welfare (AIHW): Residential aged care in Australia 2007-08: a statistical overview. Aged care statistic series 28. Cat. no. AGE 58. 2009, Canberra: AIHW
42.
go back to reference Clark DE, DeLorenzo MA, Lucas FL, Wennberg DE: Epidemiology and short-term outcomes of injured medicare patients. J Am Geriatr Soc. 2004, 52 (12): 2023-2030. 10.1111/j.1532-5415.2004.52560.x.CrossRefPubMed Clark DE, DeLorenzo MA, Lucas FL, Wennberg DE: Epidemiology and short-term outcomes of injured medicare patients. J Am Geriatr Soc. 2004, 52 (12): 2023-2030. 10.1111/j.1532-5415.2004.52560.x.CrossRefPubMed
43.
go back to reference Camilloni L, Farchi S, Rossi PG, Chini F, Borgia P: Mortality in elderly injured patients: the role of comorbidities. Int J Inj Contr Saf Promot. 2008, 15 (1): 25-31. 10.1080/17457300701800118.CrossRefPubMed Camilloni L, Farchi S, Rossi PG, Chini F, Borgia P: Mortality in elderly injured patients: the role of comorbidities. Int J Inj Contr Saf Promot. 2008, 15 (1): 25-31. 10.1080/17457300701800118.CrossRefPubMed
44.
go back to reference Australian Institute of Health and Welfare (AIHW): Australia's health 2008. 2008, Canberra: AIHW Australian Institute of Health and Welfare (AIHW): Australia's health 2008. 2008, Canberra: AIHW
45.
go back to reference Eyre H, Kahn R, Robertson RM: Preventing cancer, cardiovascular disease, and diabetes: a common agenda for the American Cancer Society, the American Diabetes Association, and the American Heart Association. Diabetes Care. 2004, 27 (7): 1812-1824. 10.2337/diacare.27.7.1812.CrossRefPubMed Eyre H, Kahn R, Robertson RM: Preventing cancer, cardiovascular disease, and diabetes: a common agenda for the American Cancer Society, the American Diabetes Association, and the American Heart Association. Diabetes Care. 2004, 27 (7): 1812-1824. 10.2337/diacare.27.7.1812.CrossRefPubMed
46.
go back to reference Caplan GA, Kvelde T, Lai C, Yap SL, Lin C, Hill MA: Cerebrospinal fluid in long-lasting delirium compared with Alzheimer's dementia. J Gerontol A Biol Sci Med Sci. 2010, 65A (10): 1130-1136. 10.1093/gerona/glq090.CrossRef Caplan GA, Kvelde T, Lai C, Yap SL, Lin C, Hill MA: Cerebrospinal fluid in long-lasting delirium compared with Alzheimer's dementia. J Gerontol A Biol Sci Med Sci. 2010, 65A (10): 1130-1136. 10.1093/gerona/glq090.CrossRef
47.
go back to reference Francis J, Martin D, Kapoor WN: A prospective study of delirium in hospitalized elderly. JAMA. 1990, 263 (8): 1097-1101. 10.1001/jama.263.8.1097.CrossRefPubMed Francis J, Martin D, Kapoor WN: A prospective study of delirium in hospitalized elderly. JAMA. 1990, 263 (8): 1097-1101. 10.1001/jama.263.8.1097.CrossRefPubMed
48.
go back to reference Aarsland D, Andersen K, Larsen JP, Lolk A: Prevalence and characteristics of dementia in Parkinson disease: An 8-year prospective study. Arch Neurol. 2003, 60 (3): 387-392. 10.1001/archneur.60.3.387.CrossRefPubMed Aarsland D, Andersen K, Larsen JP, Lolk A: Prevalence and characteristics of dementia in Parkinson disease: An 8-year prospective study. Arch Neurol. 2003, 60 (3): 387-392. 10.1001/archneur.60.3.387.CrossRefPubMed
49.
go back to reference Tong B, Stevenson C: Comorbidity of cardiovascular disease, diabetes and chronic kidney disease in Australia. Cardiovascular Disease Series no. 28. Cat. no. CVD 37. 2007, Canberra: Australian Institute of Health and Welfare (AIHW) Tong B, Stevenson C: Comorbidity of cardiovascular disease, diabetes and chronic kidney disease in Australia. Cardiovascular Disease Series no. 28. Cat. no. CVD 37. 2007, Canberra: Australian Institute of Health and Welfare (AIHW)
50.
go back to reference Crepaldi G, Maggi S: Epidemiologic link between osteoporosis and cardiovascular disease. J Endocrinol Invest. 2009, 32 (4 Suppl): 2-5.PubMed Crepaldi G, Maggi S: Epidemiologic link between osteoporosis and cardiovascular disease. J Endocrinol Invest. 2009, 32 (4 Suppl): 2-5.PubMed
51.
go back to reference Zwar N, Harris M, Griffiths R, Roland M, Dennis S, Powell DG, Hasan I: A systematic review of chronic disease management. 2006, Sydney: Research Centre for Primary Health Care and Equity, School of Public Health and Community Medicine, University of NSW Zwar N, Harris M, Griffiths R, Roland M, Dennis S, Powell DG, Hasan I: A systematic review of chronic disease management. 2006, Sydney: Research Centre for Primary Health Care and Equity, School of Public Health and Community Medicine, University of NSW
Metadata
Title
Patterns of comorbidity in community-dwelling older people hospitalised for fall-related injury: A cluster analysis
Authors
Trang Vu
Caroline F Finch
Lesley Day
Publication date
01-12-2011
Publisher
BioMed Central
Published in
BMC Geriatrics / Issue 1/2011
Electronic ISSN: 1471-2318
DOI
https://doi.org/10.1186/1471-2318-11-45

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