Age-Related Risk of Serious Fall Events and Opioid Analgesic Use

被引:6
作者
Hopkins, Ria E. [1 ]
Bharat, Chrianna [1 ]
Buizen, Luke [1 ]
Close, Jacqueline [2 ]
Ivers, Rebecca [3 ]
Draper, Brian [4 ]
Pearson, Sallie-Anne [3 ,5 ]
Degenhardt, Louisa [1 ]
Gisev, Natasa [1 ,6 ]
机构
[1] Natl Drug & Alcohol Res Ctr, UNSW Sydney, Sydney, NSW, Australia
[2] UNSW, Neurosci Res Australia, Sydney, NSW, Australia
[3] Sch Populat Hlth, UNSW Sydney, Sydney, NSW, Australia
[4] Sch Clin Med, Discipline Psychiat & Mental Hlth, UNSW Sydney, Sydney, NSW, Australia
[5] Univ Sydney, Fac Med & Hlth, Menzies Ctr Hlth Policy, Sydney, NSW, Australia
[6] UNSW Australia, Natl Drug & Alcohol Res Ctr, 22-32 King St, Randwick, NSW 2052, Australia
基金
澳大利亚国家健康与医学研究理事会; 英国医学研究理事会;
关键词
OLDER-ADULTS; MUSCULOSKELETAL PAIN; PSYCHOTROPIC-DRUGS; PRESCRIPTION; PREVENTION; PEOPLE; EPIDEMIOLOGY; POPULATION; FRACTURES; AUSTRALIA;
D O I
10.1001/jamainternmed.2023.8154
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Importance Opioid analgesics may be associated with increased risk of falls, particularly among older adults. Objective To quantify the age-related risk of serious fall events among adults prescribed opioids by opioid exposure, time from initiation, and daily dose. Design, Setting, and Participants This population-based cohort study conducted in New South Wales, Australia, used data linking national pharmaceutical claims to national and state datasets, including information on sociodemographic characteristics, clinical characteristics, medicines use, health services utilization, and mortality (POPPY II study). It included adults (18 years or older) who initiated prescription opioid treatment, which was defined as no prior dispensing during the preceding 365 days, between January 1, 2005, and December 31, 2018. Data were analyzed from February to June 2023. Exposure Time-dependent periods of opioid exposure were evaluated from dispensing records. Main Outcome and Measures Serious fall events identified from emergency department, hospitalization, and mortality records. Negative binomial models were used to assess associations between time-dependent opioid exposure (overall, by time from initiation, and by dose), age, and risk of fall events. Models were adjusted for known fall risk factors, including other fall risk-increasing drugs, frailty risk, and prior serious fall events. Results The cohort comprised 3 212 369 individuals who initiated prescription opioid treatment (1 702 332 women [53%]; median [IQR] age at initiation, 49 [32-65] years). Overall, 506 573 serious fall events were identified, including 5210 fatal falls. During exposure to opioids, the risk of serious fall events was elevated among all age groups; compared with the group aged 18 to 44 years, this risk was highest among those 85 years or older (adjusted incident rate ratio, 6.35; 95% CI, 6.20-6.51). Across all age groups, the first 28 days following opioid initiation was a time of increased serious fall risk; this risk increased with age. Among individuals aged 18 to 84 years, associations were identified between higher daily opioid doses and serious fall events. Conclusions and Relevance The results of this cohort study suggest that prescription opioids were associated with increased risk of serious fall events among adults of all ages, with individuals 85 years or older at greatest risk. These risks should be considered when prescribing opioids, particularly for individuals with preexisting risk factors or when opioids are prescribed at higher doses. Targeted falls prevention efforts may be most effective within the first month following opioid initiation.
引用
收藏
页码:394 / 401
页数:8
相关论文
共 51 条
[1]  
[Anonymous], 2016, 1270.0.55.005 Australian Statistical Geography Standard
[2]  
[Anonymous], 2018, 3101.0 - Australian Demographic Statistics
[3]  
Australian Institute of Health and Welfare, 2019, Trends in hospitalised injury due to falls in older people 200708 to 201617
[4]  
Australian Institute of Health and Welfare, 2022, INJURY AUSTR
[5]  
Australian Institute of Health and Welfare, 2019, TRENDS INJURY DEATHS
[6]  
Benyamin R, 2008, PAIN PHYSICIAN, V11, pS105
[7]   A data-informed approach using individualised dispensing patterns to estimate medicine exposure periods and dose from pharmaceutical claims data [J].
Bharat, Chrianna ;
Degenhardt, Louisa ;
Pearson, Sallie-Anne ;
Buizen, Luke ;
Wilson, Andrew ;
Dobbins, Timothy ;
Gisev, Natasa .
PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 2023, 32 (03) :352-365
[8]   Psychotropic Drugs and Falls in the Elderly People: Updated Literature Review and Meta-Analysis [J].
Bloch, Frederic ;
Thibaud, Marie ;
Dugue, Benoit ;
Breque, Cyril ;
Rigaud, Anne-Sophie ;
Kemoun, Gilles .
JOURNAL OF AGING AND HEALTH, 2011, 23 (02) :329-346
[9]   Pain and falls in older people [J].
Blyth, Fiona M. ;
Cumming, Robert ;
Mitchell, Paul ;
Wang, Jie Jin .
EUROPEAN JOURNAL OF PAIN, 2007, 11 (05) :564-571
[10]   Health-related quality of life in hospitalized older patients with versus without prolonged use of opioid analgesics, benzodiazepines, and z-hypnotics: a cross-sectional study [J].
Cheng, Socheat ;
Siddiqui, Tahreem Ghazal ;
Gossop, Michael ;
Stavem, Knut ;
Kristoffersen, Espen Saxhaug ;
Lundqvist, Christofer .
BMC GERIATRICS, 2020, 20 (01)