| Literature DB >> 33119104 |
Heidi Taipale1,2,3, Hanna Särkilä4,5, Antti Tanskanen1,2, Terhi Kurko6, Tero Taiminen4, Jari Tiihonen1,2,7, Reijo Sund8, Annamari Tuulio-Henriksson9, Leena Saastamoinen6, Jarmo Hietala4.
Abstract
Importance: The proportion of patients who develop long-term benzodiazepine use remains controversial, as do the length of time before long-term use develops and the factors associated with long-term use. Objective: To investigate the incidence of long-term benzodiazepine and related drug (BZDR) use and factors associated with the development of long-term use implementing a follow-up design with new BZDR users. Design, Setting, and Participants: This population-based cohort study used a nationwide cohort of 129 732 new BZDR users in Finland. New users of BZDRs aged 18 years or older were identified from the prescription register maintained by the Social Insurance Institution of Finland as individuals who initiated BZDR use during 2006 and had not used BZDRs from 2004 to 2005. The follow-up continued until death, long-term hospitalization, a gap of 2 years in BZDR use, or December 31, 2015. The population was analyzed according to age at treatment initiation, categorized into younger (<65 years) and older (≥65 years) subcohorts. Analyses were conducted from May 2019 to February 2020. Exposures: Use of BZDRs, modeled from register-based data using the PRE2DUP (from prescriptions to drug use periods) method. Main Outcomes and Measures: Long-term BZDR use, defined as continuous use of 180 days or longer, and factors associated with long-term vs short-term use, compared using Cox proportional hazards models.Entities:
Mesh:
Substances:
Year: 2020 PMID: 33119104 PMCID: PMC7596584 DOI: 10.1001/jamanetworkopen.2020.19029
Source DB: PubMed Journal: JAMA Netw Open ISSN: 2574-3805
Figure 1. Incidence of Long-term Use Among Initiators of Treatment With Specific Benzodiazepines and Related Drugs During Follow-up
Error bars indicate 95% CIs.
Age and Sex Distribution of Initiators of Specific Drugs and the Proportion of Long-term Users Who Did Not Have Gaps in Drug Use Before Long-term Use Definition Was Fulfilled
| Drug | Initiators | Long-term users who did not have gaps in use before long-term use, No. (%) | ||
|---|---|---|---|---|
| No. | Age, mean (SD), y | No. (%) Women | ||
| Lorazepam | 1217 | 59.0 (19.3) | 750 (61.6) | 640 (84.2) |
| Nitrazepam | 916 | 70.5 (14.6) | 559 (61.0) | 587 (83.9) |
| Clonazepam | 3382 | 51.5 (17.1) | 1839 (54.4) | 1557 (80.0) |
| Amitriptyline + chlordiazepoxide | 3261 | 51.0 (15.2) | 2314 (71.0) | 1039 (79.0) |
| Temazepam | 7820 | 65.6 (16.2) | 4545 (58.1) | 3870 (77.4) |
| Polytherapy | 2553 | 48.2 (17.0) | 1284 (50.3) | 978 (71.2) |
| Oxazepam | 20 578 | 52.7 (18.1) | 13 111(63.7) | 5441 (64.3) |
| Diazepam | 9382 | 52.2 (17.2) | 4980 (53.1) | 2733 (63.9) |
| Alprazolam | 10 437 | 43.8 (15.8) | 6374 (61.1) | 1527 (50.7) |
| Chlordiazepoxide | 2022 | 47.7 (13.5) | 542 (26.8) | 384 (49.1) |
| Zopiclone | 44 051 | 54.7 (17.5) | 26 453 (60.1) | 7740 (46.3) |
| Zolpidem | 24 113 | 48.6 (16.1) | 15 266 (63.3) | 2090 (31.0) |
Characteristics of Short-term Compared With Long-term Users of BZDRs in the Cohort of 129 732 Individuals
| Characteristic | Users, No. (%) | |
|---|---|---|
| Short-term | Long-term | |
| Age category, y | ||
| 18-34 | 16 892 (21.5) | 6439 (12.6) |
| 35-49 | 22 667 (28.8) | 10 907 (21.3) |
| 50-64 | 23 119 (29.4) | 14 650 (28.7) |
| 65-74 | 8743 (11.1) | 8643 (16.9) |
| 75-85 | 6123 (7.8) | 8687 (17.0) |
| >85 | 1089 (1.4) | 1773 (3.5) |
| Male sex | 29 735 (37.8) | 21 980 (43.0) |
| First dispensed BZDR | ||
| Zopiclone | 27 324 (34.8) | 16 727 (32.7) |
| Zolpidem | 17 377 (22.1) | 6736 (13.2) |
| Oxazepam | 12 110 (15.4) | 8468 (16.6) |
| Alprazolam | 7424 (9.4) | 3013 (5.9) |
| Diazepam | 5103 (6.5) | 4279 (8.4) |
| Temazepam | 2821 (3.6) | 4999 (9.8) |
| Amitriptyline + chlordiazepoxide | 1946 (2.5) | 1315 (2.6) |
| Clonazepam | 1436 (1.8) | 1946 (3.8) |
| Chlordiazepoxide | 1240 (1.6) | 782 (1.5) |
| Polytherapy | 1179 (1.5) | 1374 (2.7) |
| Lorazepam | 457 (0.6) | 760 (1.5) |
| Nitrazepam | 216 (0.3) | 700 (1.4) |
| Other medication use (≤30 d before BZDR treatment initiation) | ||
| Antidepressants | 14 804 (18.8) | 11 461 (22.4) |
| Nonopioid analgesics | 13 266 (16.9) | 9175 (18.0) |
| Antipsychotics | 3128 (4.0) | 5453 (10.7) |
| Muscle relaxants | 2376 (3.0) | 1558 (3.1) |
| Opioids | 1472 (1.9) | 1625 (3.2) |
| Comorbidities | ||
| Hypertension | 11 446 (14.6) | 11 860 (23.2) |
| Asthma or COPD | 5396 (6.9) | 4245 (8.3) |
| Coronary artery disease | 4865 (6.2) | 6121 (12.0) |
| Cancer | 3602 (4.6) | 3357 (6.6) |
| Diabetes | 3148 (4.0) | 3691 (7.2) |
| Substance abuse | 2733 (3.5) | 3254 (6.4) |
| Hypothyroidism | 2050 (2.6) | 1671 (3.3) |
| Rheumatoid arthritis | 2011 (2.6) | 1598 (3.1) |
| Schizophrenia | 1603 (2.0) | 2688 (5.3) |
| Chronic heart failure | 1586 (2.0) | 2505 (4.9) |
| Epilepsy | 1126 (1.4) | 1040 (2.0) |
| Alzheimer disease | 1084 (1.4) | 1725 (3.4) |
| Stroke | 931 (1.2) | 1273 (2.5) |
| Bipolar disorder | 687 (0.9) | 839 (1.6) |
| Inflammatory bowel disease | 656 (0.8) | 380 (0.7) |
| Parkinson disease | 447 (0.6) | 682 (1.3) |
| Multiple sclerosis | 221 (0.3) | 195 (0.4) |
| ADHD | 112 (0.1) | 100 (0.2) |
| Other factors | ||
| Receipt of social benefits | 23 241 (29.6) | 23 472 (45.9) |
| Discharge from hospital ≤2 wk | 11 733 (14.9) | 9610 (18.8) |
Abbreviations: ADHD, attention-deficit/hyperactivity disorder; BZDR, benzodiazepine and related drug; COPD, chronic obstructive pulmonary disease.
Figure 2. Factors Associated With Long-term Benzodiazepine and Related Drug (BZDR) Use Compared With Short-term Use Among Persons Younger Than 65 Years at BZDR Treatment Initiation
The adjusted Cox proportional hazards model is shown for all factors. ADHD indicates attention-deficit/hyperactivity disorder; COPD, chronic obstructive pulmonary disease; DP, disability pension; and HR, hazard ratio.
Figure 3. Factors Associated With Long-term Benzodiazepine and Related Drug (BZDR) Use Compared With Short-term Use Among Persons Aged 65 Years or Older at BZDR Treatment Initiation
The adjusted Cox proportional hazards model is shown for all factors. COPD indicates chronic obstructive pulmonary disease; HR, hazard ratio.