| Literature DB >> 31758206 |
J Morley1, A Moayyeri2, L Ali2, A Taylor3, M Feudjo-Tepie2, L Hamilton2, J Bayly4.
Abstract
Gaining full benefits from osteoporosis medications requires long-term treatment. Investigating the real-world persistence of women receiving osteoporosis medications in the UK, we found that most patients stop treatment within a year. To prevent osteoporotic fragility fractures, long-term treatment persistence must be improved.Entities:
Keywords: CPRD; Clinical Practice Research Datalink; Compliance; Osteoporosis; Persistence; Postmenopausal
Year: 2019 PMID: 31758206 PMCID: PMC7076063 DOI: 10.1007/s00198-019-05228-8
Source DB: PubMed Journal: Osteoporos Int ISSN: 0937-941X Impact factor: 4.507
Fig. 1Flow charts for creation of the a) “‘All Patients’,” “‘Naïve Patients,”’ and b) “‘Drug-specific’ Specific” cohorts.a CPRD Clinical Practice Research Datalink, OP osteoporosis. a Patients could receive multiple drug classes during the observation period. Each patient could therefore have several non-treatment-naïve windows but only one treatment-naïve windowTables and figures
Population characteristics at baseline by class of osteoporosis medication, “All Patients” cohort
| Total cohort | Oral BPs | Parenteral BPs | SERM | PTH | Strontium | Denosumab | |
|---|---|---|---|---|---|---|---|
| 72,256 | 68,400 | 38 | 509 | 35 | 2887 | 387 | |
| Age (year), mean ± SD | 74.05 ± 11.06 | 73.95 ± 11.06 | 73.35 ± 10.87 | 68.83 ± 10.63 | 75.62 ± 9.43 | 77.04 ± 10.57 | 76.87 ± 9.78 |
| BMI (kg/m2), mean ± SD | 25.69 ± 5.30 | 25.75 ± 5.31 | 25.24 ± 5.57 | 25.45 ± 4.56 | 25.5 ± 7.48 | 24.6 ± 4.96 | 24.15 ± 4.87 |
| Current smoker, | 8769 (12.1) | 8417 (12.3) | 4 (10.5) | 55 (10.8) | 3 (8.6) | 253 (8.8) | 37 (9.6) |
| Alcohol ≥ 3 units/daya, | 14,903 (20.6) | 14,162 (20.7) | 6 (15.8) | 147 (28.9) | 5 (14.3) | 521 (18.0) | 62 (16.0) |
| Diagnosed osteoporosis, | 21,266 (29.4) | 20,368 (29.8) | 11 (28.9) | 58 (11.4) | 15 (42.9) | 660 (22.9) | 154 (39.8) |
| History of fractureb, | 25,946 (35.9) | 24,372 (35.6) | 15 (39.5) | 82 (16.1) | 18 (51.4) | 1266 (43.9) | 193 (49.9) |
| FH of hip fracture, | 70 (0.1) | 65 (0.1) | 0 | 0 | 0 | 5 (0.2) | 0 |
| 10-Year probability of osteoporotic fracture (%), mean ± SDc | 19.55 ± 9.6 | 19.48 ± 9.56 | 18.78 ± 10.18 | 13.81 ± 8.38 | 21.24 ± 8.95 | 21.87 ± 10.01 | 22.45 ± 9.8 |
| 10-Year probability of hip fracture (%), mean ± SD | 8.92 ± 7.35 | 8.86 ± 7.31 | 8.53 ± 7.35 | 5.27 ± 5.73 | 10.00 ± 7.19 | 10.80 ± 7.95 | 11.20 ± 8.15 |
| Rheumatoid arthritis, | 1649 (2.3) | 1590 (2.3) | 2 (5.3) | 5 (1.0) | 0 | 33 (1.1) | 19 (4.9) |
| Use of glucocorticoids, | 18,879 (26.1) | 18,278 (26.7) | 5 (13.2) | 53 (10.4) | 7 (20.0) | 488 (16.9) | 48 (12.4) |
Baseline is the index date, when a patient was initially prescribed an osteoporosis medication during the observation period
BMI body mass index, BPs bisphosphonates, FH family history, PTH parathyroid hormone, SD standard deviation, SERM selective estrogen receptor modulators
aOne unit is 10 ml or 8 g of pure alcohol
bAssessed within the 5 years before the index date
cCalculated using the Fracture Risk Assessment tool (FRAX)
Fig. 2Kaplan–Meier analysis of discontinuation with any class of osteoporosis medication in the “All Patients” and “Naïve Patients” cohorts using a 30-day permissible gap
Persistence to osteoporosis medications in the Drug-Specific cohort
| Denosumab | Oral BPs | Parenteral BPs | PTH | SERM | Strontium | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| All | Naïve | Non-naïve | All | Naïve | Non-naïve | All | Naïve | Non-naïve | All | Naïve | Non-naïve | All | Naïve | Non-naïve | All | Naïve | Non-naïve | |
| 1369 | 177 | 1192 | 161,121 | 44,835 | 116,286 | 81 | 18 | 63 | 91 | 13 | 78 | 1927 | 141 | 1786 | 10,794 | 1206 | 9588 | |
| Persistence (%) (95% CI)b | ||||||||||||||||||
| 6 months | 70.1 (67.3–72.7) | 63.8 (56.3–70.4) | 71.3 (68.3–74.0) | 39.7 (39.4–39.9) | 62.4 (61.9–62.8) | 30.6 (30.3–30.8) | 100.0 | 100.0 | 100.0 | 19.8 (12.3–28.7) | 15.4 (2.5–38.8) | 20.6 (12.4–30.2) | 30.2 (28.1–32.3) | 53.2 (44.6–61.0) | 28.3 (26.2–30.4) | 24.6 (23.8–25.4) | 41.0 (38.3–43.8) | 22.4 (21.6–23.3) |
| 12 months | 63.9 (60.8–66.7) | 54.7 (46.8–62.0) | 65.7 (62.4–68.7) | 28.3 (28.1–28.6) | 50.8 (50.3–51.2) | 19.2 (19.0–19.5) | 22.7 (13.5–33.4) | 12.5 (2.1–32.8) | 26.0 (14.9–38.6) | 6.3 (2.4–13.0) | – | 6.9 (2.6–14.1) | 19.4 (17.7–21.3) | 42.2 (33.9–50.2) | 17.6 (15.8–19.4) | 14.1 (13.5–14.8) | 29.7 (27.1–32.3) | 12.1 (11.4–12.8) |
| 18 months | 57.0 (53.8–60.1) | 47.7 (39.7–55.2) | 58.9 (55.4–62.3) | 22.8 (22.6–23.0) | 43.5 (43.0–43.9) | 14.4 (14.2–14.6) | 22.7 (13.5–33.4) | 12.5 (2.1–32.8) | 26.0 (14.9–38.6) | 1.3 (0.1–6.1) | – | 1.4 (0.1–6.5) | 15.2 (13.6–17.0) | 36.7 (28.6–44.7) | 13.5 (11.8–15.2) | 9.7 (9.2–10.3) | 22.8 (20.4–25.3) | 8.1 (7.5–8.6) |
| 24 months | 50.0 (46.3–53.5) | 36.0 (27.4–44.7) | 52.8 (48.9–56.6) | 19.0 (18.8–19.2) | 37.7 (37.2–38.2) | 11.3 (11.1–11.5) | 15.2 (7.5–25.3) | 0.0 | 18.9 (9.3–31.1) | 0.0 | – | – | 12.9 (11.4–14.6) | 32.9 (25.0–41.0) | 11.3 (9.8–12.9) | 6.9 (6.4–7.4) | 16.9 (14.7–19.2) | 5.6 (5.1–6.1) |
| 36 months | 41.5 (36.9–46.1) | 28.0 (16.9–40.2) | 44.0 (38.9–49.0) | 13.9 (13.7–14.1) | 29.3 (28.8–29.8) | 7.6 (7.4–7.8) | 15.2 (7.5–25.3) | 0.0 | 18.9 (9.3–31.1) | 0.0 | – | – | 9.1 (7.6–10.6) | 24.8 (17.2–33.1) | 7.7 (6.4–9.3) | 3.7 (3.3–4.1) | 8.5 (6.8–10.5) | 3.1 (2.7–3.5) |
| 60 months | 16.1 (1.9–42.9) | – | 17.1 (2.0–45.2) | 7.8 (7.5–8.0) | 18.0 (17.4–18.6) | 3.6 (3.4–3.8) | 2.7 (0.2–11.6) | 0.0 | 3.4 (0.3–14.1) | 0.0 | – | – | 4.5 (3.1–6.3) | 22.3 (14.4–31.3) | 3.1 (1.9–4.8) | 0.9 (0.6–1.2) | 2.3 (1.1–4.3) | 0.7 (0.4–1.0) |
Patients could receive multiple drug classes during the observation period. Each patient could therefore have several non-treatment-naïve records but only one treatment-naïve record
BP bisphosphonate, CI confidence interval, PTH parathyroid hormone, SERM selective estrogen receptor modulators
aNumber of records. Patients could contribute multiple records
bPersistence probabilities were estimated using Kaplan–Meier methodology
Fig. 3Kaplan–Meier analysis of discontinuation with each medication class over a 5-year period in the “‘Drug-specific’ Specific” cohort, using a 30-day permissible gap. Patients could contribute multiple records. The numbers at risk for each medication represent the number of records not the number of patients. PTH parathyroid hormone, SERM selective estrogen receptor modulators
Fig. 4Kaplan–Meier analysis of discontinuation with each medication class over a 5-year period in the “‘Drug-specific”’ cohort (naïve vs non-naïve treatments), using a 30-day permissible gap. PTH parathyroid hormone, SERM selective estrogen receptor modulators