Long-term thiazide use and risk of low-energy fractures among persons with Alzheimer's disease-nested case-control study.

We investigated the association between thiazide use and the risk of low-energy fractures among community dwellers with Alzheimer's disease. Longer use was associated with a decreased risk of low-energy fractures. This study extends the previous knowledge of reduced fracture risk of thiazides to persons with Alzheimer's disease.
INTRODUCTION: To investigate the association between thiazide use and the risk of low-energy fractures (LEF), and hip fracture among community dwellers with Alzheimer's disease (AD). No prior study has evaluated the effect of thiazides on LEF risk of AD patients.
METHODS: LEF cases were identified from the MEDALZ study, including all community-dwelling persons diagnosed with AD in Finland 2005-2011. During the follow-up from AD diagnoses until the end of 2015, cases with LEF (N = 10,416) and hip fracture (N = 5578) were identified. LEF cases were matched with up to three controls without LEF, according to time since AD diagnosis, age and gender. Thiazide use identified from the Prescription register data was modeled with PRE2DUP method. Current use was defined in 0-30 days' time window before the fracture/matching date, and duration of current use was assessed. The association between thiazide exposure and LEFs was assessed with conditional logistic regression.
RESULTS: Current thiazide use was observed in 10.5% of LEF cases and 12.5% of controls. Current thiazide use was associated with a decreased risk of LEF (adjusted OR [aOR] 0.83, 95% CI 0.77-0.88). In terms of the duration of use, no association was observed with short-term use (< 1 year or 1-3 years), while longer use (> 3 years) was associated with a reduced risk of LEF (aOR 0.77, 95% CI 0.71-0.83) and hip fracture (aOR 0.68, 95% CI 0.60-0.78).
CONCLUSIONS: Our study extends the previous knowledge of reduced fracture risk of thiazides to persons with AD, a population with significantly increased background risk of fractures.

Introduction

Thiazide diuretics were discovered over 60 years ago and they still are an efficient and cost-effective first-line choice for treating hypertension in older adults [1-3]. Thiazides may exert a beneficial effect on bone mineral density through their ability to decrease urinary calcium excretion [4]. Accordingly, the use of thiazide diuretics has been linked to increased bone density in several small epidemiological studies [5-10]. In addition, the use of thiazide diuretics has been associated with reduced risk of fractures in several studies as summarized in large meta-analyses and systematic reviews [11-13], and reported in secondary analyses of randomized controlled trials on treatment of hypertension [14, 15].

Association between thiazides and low-energy fractures has been studied less [16-18], and to our knowledge there are no prior studies on the association of thiazide use among persons with Alzheimer’s disease, the most common form of dementia [19]. These data are important because persons with AD are particularly prone to falls and fractures [20, 21]. Objective of our study was to investigate the association between thiazide use and risk of major/minor low-energy fracture and specifically hip fracture among community-dwelling persons with Alzheimer’s disease. The impact of duration of exposure, cumulative number of exposure days, and time since discontinuation of use were assessed.

Methods

This study is a part of nationwide register-based MEDALZ (Medication use and Alzheimer’s disease) data. All community-dwelling persons who received clinically verified diagnosis of AD during 2005–2011 in Finland (N = 70,718) were identified from the Special Reimbursement register, as described previously in detail [22]. Diagnoses of AD were based on NINCDS-ADRDA [23] and DSM-IV criteria. The diagnostic process for special reimbursement of AD medications includes computed tomography or magnetic resonance imaging scan and confirmation of the diagnosis by a neurologist or geriatrician. Data for these persons have been collected from the following nationwide registers: the Prescription Register (1995–2015; dispensed medications), the Special Reimbursement Register (1972–2015; comorbid conditions), the Hospital Discharge Register (1972–2015; hospital stays, outcome events, comorbid conditions), and socioeconomic data from the Statistics Finland. The Prescription register includes all reimbursed dispensing from pharmacies, i.e., all medications used in outpatient care but not medications used during hospital stays or over-the-counter (OTC) medications. All Finnish residents are assigned with personal identification number (PIN) which was utilized in data linkage between the registers. The linkage was conducted by the register maintainers and only de-identified data was submitted to the research team. As persons were not contacted and only de-identified data was used, no ethics committee permission was required according to Finnish legislation.

Cases

Persons hospitalized or treated in specialized outpatient care due to fractures after AD diagnoses were identified from the Hospital Discharge register data. Thus, only fractures treated in inpatient care, hospital-based emergency rooms, and hospital-based outpatient clinics were considered (i.e., primary care visits were not included). We identified persons with a major LEF (ICD-10 codes S22.0, S22.1, S32.0, S52.5, S42.2, S72.0, S72.1, S72.2) or minor LEF (S22.3, S22.4, S32.1, S32.3, S32.4, S32.5, S32.8, S42.4, S72.4, S82.5, S82.6) after AD diagnoses (Supplementary Table 1), and excluded persons who had a previous LEF fracture since 1996 (Fig. 1). Only the first major/minor LEF event after AD diagnoses was considered for each person. We further excluded persons who had potential external causes for fracture recorded at the fracture event (T, S07-S08, S17-S18, S28, S38, S47-S48, S57-S58, S67-S68, S77-S78, S87-S88, S97-S98). Cases were further categorized according to their fracture type into major and minor LEF, and from major LEF category, hip fracture (S72.0, S72.1, S72.2) was analyzed separately as it was the largest subgroup of low-energy fractures.

Fig. 1

Flow chart of exclusions for the study. LEF, low-energy fracture

Controls

Fracture cases were matched with up to 3 controls without LEF by incidence density sampling (without replacement), at the date of fracture for the case which was assigned as the index date. Controls were matched according to time since AD diagnosis (± 90 days; as proxy for duration of the disease), age (± 2 years), and gender.

Exposure

Thiazides (not available OTC) were identified based on the following Anatomical Therapeutic Chemical classification (ATC) codes (including all products including thiazides as combination with other medications): thiazides alone (C03AA), thiazides in combination with potassium-sparing agents (C03EA01, C03EA02), in combination with beta blockers (C07BB02, C07BB07, C07BB12), in combination with ACE inhibitors (C09BA02, C09BA03, C09BA05), and in combination with angiotensin II antagonists (C09DA01, C09DA02, C09DA03, C09DA06, C09DA07, C09DA08, C09DX01), according to medications used in the MEDALZ data.

Medication use was modeled with PRE2DUP method [24]. The method is based on calculation of sliding averages of daily dose and according to individual purchasing behavior for each person and ATC code. The method considers regularity of purchases, stockpiling of medications, and possible hospital care periods when medications are provided by the health care institution. The method has been validated against expert-opinion [25] and self-reported medication use in interview [26]. Agreement between PRE2DUP modeled use and interview for diuretics was very good (Cohen’s kappa 0.89, 95% CI 0.85–0.93). Post processing feature of PRE2DUP was utilized in combining drug use periods of each specific ATC code including a thiazide into duration of “any thiazide” use. This means that the drug use periods were combined as a one continuous period if there was no break in the use. The drug use periods define when thiazide use started and ended for each person and duration of use.

Current use was defined in 0–30 day time window before the index date (Supplementary Fig. 1A). For current users, we defined the duration of use for the drug use period that was ongoing at the time window. The ever use of thiazides was defined as a use period occurring ever since 1995 but before the index date (referred as observation period, Supplementary Fig. 1B). For the ever users, cumulative duration of use was defined by summing up durations of all drug use periods during the observation period for each person. Duration of use was categorized as < 1, 1–< 3, 3–< 5 and ≥ 5 years. Time since discontinuation of thiazide use was defined as time since the end date of the last thiazide use period before the index date. Time since discontinuation of use was categorized as 0–30, 31–365, and > 365 days.

Comorbidities

Factors associated with thiazide use and risk of low-energy fractures [21, 27, 28] were considered as covariates and derived from the registers. All comorbidities were measured before the index date. Comorbidities from Special Reimbursement register were considered since 1972, and most comorbidities from the Hospital Discharge register since 1996 when ICD-10 codes were introduced and operations since 1994 when NOMESCO codes were introduced. History of stroke and substance abuse was defined since 1972 with corresponding ICD-8 and ICD-9 codes. Medication use was measured during 6 months before the index date except for bisphosphonate use as a marker for osteoporosis which was considered since 1995. Exact definitions are provided in the Supplementary Table 2. Comorbid conditions that were strongly correlated with each other were excluded from the adjusted models. Thus, the final adjusted models included socioeconomic status, number of hospital days during observation period (as a proxy for overall comorbidity), diabetes, rheumatoid arthritis and other connective tissue diseases, chronic heart failure, atrial fibrillation, epilepsy, asthma/COPD, substance abuse, active cancer, osteoporosis, glaucoma, previous stroke, prosthetic replacement of hip joint or knee joint, renal failure, and the use of following medications (180 days before the index date): antipsychotics, antidepressants, benzodiazepines and related drugs, antiepileptics, acetylcholinesterase inhibitors, memantine, opioids, non-steroidal anti-inflammatory drugs, paracetamol, oral glucocorticoids, inhaled glucocorticoids, proton-pump inhibitors, hormone replacement therapy, loop diuretics, beta blockers, calcium channel blockers, and renin-angiotensin system inhibitors.

Statistical analyses

The association between thiazide exposure and fractures was assessed with conditional logistic regression models, which accounts for the matched design. Current thiazide use (during 0–30 days before the index date) was compared with no thiazide use during the time window and categorized according to continuous duration of current use (< 1, 1–< 3, 3–< 5, and ≥ 5 years). The ever use and cumulative duration of thiazide use (< 1, 1–< 3, 3–< 5, and ≥ 5 years) were compared with the never use of thiazides since 1995 until the index date. Time since discontinuation of use (0–30, 31–365, and > 365 days) and cumulative duration of use (< 1, 1–< 3, 3–< 5, and ≥ 5 years) were compared with never use of thiazides.

Separate analyses were conducted for major and minor LEFs, and hip fractures as outcome events. All analyses were performed using SAS statistical software, version 9.4 (SAS Institute, Inc., Cary, NC). The results are reported as unadjusted and adjusted odds ratios (OR) with 95% confidence intervals (CI).

Results

Cases with low-energy fracture were on average 84 years old and 76% were women (Table 1). After diagnoses of AD, median time to the first LEF was 2.6 years. Compared with controls, cases were more likely to have comorbidities such as rheumatoid arthritis, atrial fibrillation, epilepsy, osteoporosis, history of stroke, and prosthetic replacement of hip or knee joint. They also used more often psychotropics and analgesics than controls whereas beta blocker and calcium channel blocker use was similar and renin-angiotensin system inhibitor use and hormone-replacement therapy were less frequent than among controls. Comparison between hip fracture cases and controls resulted in similar findings (Supplementary Table 3).

Table 1

Comparison of low-energy fracture cases (N = 10,416) and controls (N = 31,099)

	Control N	Case N	Control %	Case %	p value
Females	23,483	7864	75.5	75.5	0.9816
Mean age, SD	83.7 (6.1)	83.9 (6.3)			0.0540
Time since AD diagnoses, median (IQR)	934 (445–1540)	934 (445–1540)			0.5071
Socioeconomic position					0.0464
High	10,737	3468	34.5	33.3
Medium	18,110	6153	58.2	59.1
Low	1908	657	6.1	6.3
Unknown	344	138	1.1	1.3
Hospital days during the observation period					< .0001
0	1366	371	4.4	3.6
1–90	20,230	6687	65.1	64.2
> 90	9503	3358	30.6	32.2
Comorbidities
Diabetes	6016	1941	19.3	18.6	0.1111
Rheumatoid arthritis	1400	562	4.5	5.4	0.0002
Chronic heart failure	5144	1849	16.5	17.8	0.0043
Atrial fibrillation	5444	2134	17.5	20.5	< .0001
Epilepsy	635	305	2.0	2.9	< .0001
Asthma/COPD	3171	1166	10.2	11.2	0.004
History of substance abuse	780	321	2.5	3.1	0.0016
Active cancer	1467	654	4.7	6.3	< .0001
Osteoporosis	4832	1918	15.5	18.4	< .0001
Glaucoma	3274	1045	10.5	10.0	0.1521
Previous stroke	3628	1364	11.7	13.1	0.0001
Prosthetic replacement of hip joint or knee joint	3790	3391	12.2	32.6	< .0001
Renal failure	377	166	1.2	1.6	0.003
Medication use during 180 days before the index date
Antipsychotics	6947	2984	22.1	25.4	< .0001
Antidepressants	8332	3718	25.5	31.7	< .0001
Benzodiazepines and related drugs	7545	3314	24.4	28.3	< .0001
Antiepileptics	1771	859	5.7	7.3	< .0001
Acetylcholinesterase inhibitors	19,732	7628	63.6	65.0	0.0069
Memantine	11,096	4460	35.6	38.0	< .0001
Opioids	2735	1404	8.5	12.0	< .0001
NSAIDs	2548	1151	8.3	9.8	< .0001
Paracetamol	9277	4154	28.3	35.4	< .0001
Oral glucocorticoids	1483	712	4.7	6.1	< .0001
Inhaled glucocorticoids	918	382	3.1	3.3	0.4223
PPIs	6503	2790	20.6	23.8	< .0001
Hormone replacement therapy	1582	529	5.2	4.5	0.0033
Loop diuretics	7699	3098	23.9	26.4	< .0001
Beta blockers	13,612	5234	43.6	44.6	0.0632
Calcium channel blockers	6381	2401	20.4	20.5	0.9393
Renin-angiotensin system inhibitors	11,499	4207	37.2	35.9	0.0166

COPD, chronic obstructive pulmonary disease; NSAID, non-steroidal anti-inflammatory drugs; PPI, proton pump inhibitor

The majority of low-energy fractures were major LEFs (80%, N = 8311). Of major LEFs, hip fractures were the most common fracture type (N = 5578, 67% of major LEFs and 54% of all low-energy fractures).

Current thiazide use was observed in 10.5% of LEF cases and 12.5% of their controls (Table 2). Current thiazide use was associated with a decreased risk of LEF (adjusted OR [aOR] 0.83, 95% CI 0.77–0.88). When current use was assessed according to the duration of use, short-term (< 1 year or 1–3 years) use was not associated with LEFs whereas longer use was associated with a reduced risk of LEFs (3–5 years aOR 0.70, 95% CI 0.61–0.86; ≥ 5 years aOR 0.78, 95% CI 0.71–0.86; > 3 years aOR 0.77, 95% CI 0.71–0.83). The ever use of thiazides was not associated with LEF. However, cumulative duration of use for over 5 years was associated with a reduced risk of LEF also in the ever users (aOR 0.90, 95% CI 0.85–0.95). When assessed according to time since discontinuation of thiazide use, only the use until the fracture event or discontinuation within 30 days before the index date was associated with a reduced risk (aOR 0.83, 95% CI 0.78–0.89) whereas the more distant use (30–365 or > 365 days since discontinuation) was not associated with the risk. When the cumulative duration of use was categorized according to time since discontinuation (≤ 30 vs. > 30 days), only cumulative use for ≥ 5 years which was discontinued ≤ 30 days ago was associated with reduced risk of LEF (aOR 0.79, 95% CI 0.73–0.85).

Table 2

Associations between low-energy fractures (both minor and major) and current thiazide use, duration of current use, duration of cumulative use, and time since discontinuation of use

	Control N	Case N	Control %	Case %	Unadjusted OR	Lower CI	Upper CI	Adjusted ORa	Lower CI	Upper CI
Current use	3881	1097	12.5	10.5	0.83	0.78	0.88	0.83	0.77	0.88
Duration of current use
< 1 year	588	179	1.9	1.7	0.89	0.77	1.03	0.91	0.78	1.06
1–3 years	825	259	2.7	2.5	0.92	0.82	1.03	0.94	0.83	1.07
3–5 years	579	146	1.9	1.4	0.74	0.63	0.87	0.70	0.61	0.86
≥ 5 years	1890	511	6.1	4.9	0.79	0.73	0.86	0.78	0.71	0.86
Cumulative use
Ever use	12,964	4298	41.7	41.3	0.98	0.95	1.02	0.96	0.92	1.00
< 1 year	2734	959	8.8	9.2	1.04	0.97	1.11	1.00	0.93	1.07
1–3 years	2166	740	7.0	7.1	1.01	0.94	1.09	1.00	0.93	1.09
3–5 years	1662	586	5.3	5.6	1.05	0.97	1.13	1.03	0.95	1.13
≥ 5 years	6402	2013	20.6	19.3	0.93	0.89	0.98	0.90	0.85	0.95
Time since discontinuation of use
0–30 days	3882	1095	12.5	10.5	0.84	0.79	0.89	0.83	0.78	0.89
31–365 days	1270	499	4.1	4.8	1.17	1.07	1.28	1.15	1.04	1.26
> 365 days	7812	2695	25.1	25.9	1.03	0.98	1.07	0.98	0.94	1.03
Time since discontinuation of use and cumulative duration of use
≤ 30 days since discontinuation
Duration < 1 year	280	82	0.9	0.8	0.87	0.70	1.08	0.89	0.71	1.11
Duration 1–3 years	509	159	1.6	1.5	0.93	0.80	1.08	0.93	0.78	1.06
Duration 3–5 years	500	147	1.6	1.4	0.87	0.75	1.02	0.90	0.76	1.06
Duration ≥ 5 years	2593	707	8.3	6.8	0.81	0.75	0.87	0.79	0.73	0.85
> 30 days since discontinuation
Duration < 1 year	2454	873	7.9	8.4	1.06	0.99	1.13	1.01	0.94	1.09
Duration 1–3 years	1657	580	5.3	5.6	1.04	0.96	1.13	1.03	0.94	1.12
Duration 3–5 years	1162	438	3.7	4.2	1.12	1.03	1.23	1.09	0.99	1.21
Duration ≥ 5 years	3809	1303	12.3	12.5	1.02	0.96	1.09	0.97	0.91	1.03

aAdjusted for socioeconomic position, number of hospital days during observation period, diabetes, rheumatoid arthritis, chronic heart failure, atrial fibrillation, epilepsy, asthma/COPD, history of substance abuse, active cancer, osteoporosis, glaucoma, previous stroke, prosthetic replacement of hip joint or knee joint, renal failure, medication use (180 days before the index date): antipsychotics, antidepressants, benzodiazepines and related drugs, antiepileptics, acetylcholinesterase inhibitors, memantine, opioids, non-steroidal anti-inflammatory drugs, paracetamol, oral glucocorticoids, inhaled glucocorticoids, proton pump inhibitors, hormone replacement therapy, loop diuretics, beta blockers, calcium channel blockers, and renin-angiotensin system inhibitors

The number of cases N = 10,416 and controls N = 31,099

Findings on subcategories major LEF (Supplementary Table 4) and minor LEF (Supplementary Table 5) were similar, except that low number of minor LEFs resulted in non-significant associations. Associations between thiazide use and hip fracture were similar although somewhat stronger than for LEFs (Table 3). Current thiazide use was associated with a reduced risk of hip fracture (aOR 0.77, 95% CI 0.69–0.85), and the association was seen with longer durations of use (3–5 years aOR 0.67, 95% CI 0.51–0.87; ≥ 5 years of use aOR 0.69, 95% CI 0.59–0.79; > 3 years use 0.68, 95% CI 0.60–0.78).

Table 3

Associations between hip fracture and current thiazide use, duration of current use, duration of cumulative use, and time since discontinuation of use

	Control N	Case N	Control %	Case %	Unadjusted OR	Lower CI	Upper CI	Adjusted ORa	Lower CI	Upper CI
Current use	2015	534	12.1	9.6	0.77	0.70	0.84	0.77	0.69	0.85
Duration of current use
< 1 year	280	79	1.7	1.4	1.03	0.94	1.13	0.88	0.69	1.12
1–3 years	424	137	2.6	2.5	0.99	0.89	1.10	0.96	0.80	1.15
3–5 years	300	77	1.8	1.4	1.05	0.94	1.17	0.67	0.51	0.87
≥ 5 years	1011	240	6.1	4.3	0.91	0.85	0.97	0.69	0.59	0.79
Cumulative use
Ever use	6911	2273	41.6	40.8	0.97	0.92	1.02	0.95	0.89	1.01
< 1 year	1427	504	8.6	9.0	1.03	0.94	1.13	1.00	0.90	1.11
1–3 years	1169	393	7.0	7.1	0.99	0.89	1.10	1.02	0.90	1.15
3–5 years	905	322	5.5	5.8	1.05	0.94	1.17	1.06	0.93	1.21
≥ 5 years	3410	1054	20.5	18.9	0.91	0.85	0.97	0.87	0.80	0.95
Time since discontinuation of use
0–30 days	2015	533	12.1	9.6	0.78	0.71	0.85	0.77	0.70	0.86
31–365 days	645	271	3.9	4.9	1.24	1.09	1.40	1.25	1.08	1.45
> 365 days	4251	1462	25.6	26.2	1.02	0.96	1.08	0.98	0.91	1.05
Time since discontinuation of use and cumulative duration of use
≤ 30 days since discontinuation
Duration < 1 year	140	35	0.8	0.6	0.73	0.53	1.02	0.82	0.60	1.14
Duration 1–3 years	249	80	1.5	1.4	0.95	0.76	1.18	0.98	0.76	1.28
Duration 3–5 years	257	80	1.6	1.4	0.92	0.74	1.14	0.92	0.71	1.19
Duration ≥ 5 years	1369	338	8.2	6.1	0.73	0.65	0.81	0.70	0.62	0.80
> 30 days since discontinuation
Duration < 1 year	1287	465	7.7	8.3	1.07	0.97	1.17	1.01	0.91	1.13
Duration 1–3 years	920	313	5.5	5.6	1.00	0.90	1.12	1.02	0.89	1.16
Duration 3–5 years	648	242	3.9	4.3	1.10	0.97	1.25	1.11	0.95	1.30
Duration ≥ 5 years	2041	713	12.3	12.8	1.03	0.96	1.12	0.98	0.89	1.08

aAdjusted for socioeconomic position, number of hospital days during observation period, diabetes, rheumatoid arthritis, chronic heart failure, atrial fibrillation, epilepsy, asthma/COPD, history of substance abuse, active cancer, osteoporosis, glaucoma, previous stroke, prosthetic replacement of hip joint or knee joint, renal failure, medication use (180 days before the index date): antipsychotics, antidepressants, benzodiazepines and related drugs, antiepileptics, acetylcholinesterase inhibitors, memantine, opioids, non-steroidal anti-inflammatory drugs, paracetamol, oral glucocorticoids, inhaled glucocorticoids, proton pump inhibitors, hormone replacement therapy, loop diuretics, beta blockers, calcium channel blockers, and renin-angiotensin system inhibitors

The number of cases N = 5578 and controls N = 16,619

Discussion

Current thiazide use was associated with a decreased risk of LEFs. The association was observed only for longer duration of use (> 3 years) and not evident if the use was discontinued over 1 month before the index date. The association was similar for hip fractures which were the most common category of fractures, and also for all subcategories although the confidence intervals were wider for minor LEFs due to smaller sample size.

As the use of diuretics has been associated with an increased risk of falls [29], the decreased risk of LEFs associated with thiazide use is somewhat surprising in this old and vulnerable patient group which has an increased baseline risk for falls and fractures [20, 21]. Persons with advanced age and dementia are underrepresented in clinical trials in general, and also in trials of thiazides as pointed out by recent meta-analyses on effectiveness and safety of thiazide use in treatment of hypertension in older adults [12]. In previous studies, diuretic use has been associated with an increased risk of falling although the risk was more evident for loop diuretics than for thiazides [30]. The increased risk of falling during diuretic use may be related to common adverse effects of antihypertensives, including dizziness, hyponatremia and postural hypotension [31]. The protective association between thiazide use and LEFs, especially with the long-term use observed in our study, may be explained by the previous findings that the use of thiazide diuretics increases bone mineral density in postmenopausal women and older men in randomized clinical trials [32, 33]. Alternatively, it is possible that thiazide use was discontinued if there were indications of increased risk of falls or fractures and thus, the decreased risk of LEF in long-term thiazide users may partially be explained by selection (i.e., users may be those who tolerate thiazide effects and thus, continue thiazide use).

Our finding of the reduced risk of fractures associated with thiazide use is in good agreement with secondary analyses of randomized clinical trials. Indapamide vs. placebo reduced the risk of fractures in hypertensive patients with ≥80 years of age [14], and patients randomized to chlorthalidone vs. amlodipine or lisinopril had a lower risk of hip and pelvic fractures (age ≥ 55 years) [15]. However, in those two studies patients with dementia were excluded or their proportion was not reported, respectively. There are no prior studies on thiazide use among persons with AD or other form of dementia that investigated fracture risk as a primary outcome. Thus, despite the reduced risk of LEF in our study, thiazides cannot be recommended as a preventative therapy for fractures. Nevertheless, thiazide diuretics should be considered when choosing the hypertension treatment or when decreasing the number of used antihypertensives among older persons. However, orthostatic hypotension and other risk factors have to be assessed and considered carefully.

A major strength of this study was a large, nationwide cohort of community-dwelling persons with Alzheimer’s disease. Thus, the results are generalizable to community-dwelling persons with AD. The analyses were restricted to the first fractures after AD diagnoses as the reliability of incident fractures is well demonstrated, especially for hip fractures in the Finnish Hospital Discharge register [34]. However, the outcome measure was limited to fractures treated in hospitals and hospital-based clinics, and thus, does not cover fractures treated in primary healthcare. The observation period for thiazide use was at least 10 years for all participants representing truly long-term use. Thiazide use was identified from all combinations of cardiovascular drugs to gather total exposure to this drug class, and modeled with PRE2DUP method which results in highly reliable estimates of exposure [25, 26, 35]. Although the Prescription register data is restricted to reimbursed drugs only, thiazides had reimbursement status throughout the follow-up with very few exceptions.

A nested case-control approach was chosen to be able to observe long-term drug use patterns, both current use and cumulative exposure over time. Controls without LEF were matched with LEF cases by age, gender, and time since AD diagnoses as these were judged to be the major factors predicting risk of falls and fractures. As we lack data on the severity of AD and cognitive decline, time since AD diagnoses was considered as a proxy for the progression of the disease. Because both cases and controls were drawn from a well-defined source population (i.e., all community-dwellers with AD diagnosis) and controls were selected by incidence density sampling, the OR, apart from random error, is the same as RR in the source population [36]. The analyses were adjusted for comorbid conditions, socioeconomic status, and other drug use which have been associated with risk of falling in previous studies. However, residual confounding may still exist as we lacked data on important predictors of falling, for example nutritional status, alcohol consumption, and balance and mobility measures. In this aged population, these factors are assumed to be captured at least partly by the comorbid conditions used as covariates.

Conclusions

Our finding of a lower risk of low-energy fractures in long-term thiazide users extends the knowledge of reduced fracture risk to older persons with Alzheimer’s disease. This finding may have implications for the choice of antihypertensive medications in this vulnerable patient group with an increased background risk for falls and fractures due to dementia disorder.

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