Skip to main content
Journal of Musculoskeletal & Neuronal Interactions logoLink to Journal of Musculoskeletal & Neuronal Interactions
. 2017 Jun;17(2):69–77.

Effect of acetylcholinesterase inhibitors on post-surgical complications and mortality following a hip fracture: a cohort study

I Tamimi 1, SA Madathil 2, A Kezouh 3, B Nicolau 2, I Karp 4, F Tamimi 1,
PMCID: PMC5492321  PMID: 28574413

Abstract

There is increasing evidence suggesting that the use of acetylcholinesterase inhibitors may have beneficial effects on bone. Data on the potential post-surgical effects of these medications on orthopedic interventions are very limited. This study was designed to determine whether the use of acetylcholinesterase inhibitors is associated with a decrease in post-surgical mortality and complications in hip fracture patients with Alzheimer’s disease. To accomplish this objective, a retrospective cohort study was performed using data from the Clinical Practice Research Database, UK. The study included 532 Alzheimer’s disease patients of age 65 years and older, who sustained a hip fracture between 1998 and 2012. During the follow-up period, 34% of the patients died (n=182), 22% sustained a second hip fracture (n=118) and 5% (n=29) required reintervention. The users of acetylcholinesterase inhibitors had a 56% reduction in all-cause mortality (HR= 0.44, 95% CI 0.30-0.63) and a 41% reduction in second hip fracture incidence during a year of post-surgical follow-up (HR= 0.59, 95% CI 0.38-0.94) after adjusting for potential confounders. Our results show that acetylcholinesterase inhibitors may have the potential to reduce all-cause mortality and the risk of suffering a second hip fracture during the first year after surgery.

Keywords: Hip Fracture, Acetylcholinesterase Inhibitors, Alzheimer’s Disease, Mortality, Second Fracture

Introduction

Hip fractures are becoming a major health and economic problem in many countries. More than 1.6 million people worldwide suffer from hip fractures each year, and this incidence continues to increase along with the aging world population[1]. These fractures usually occur in elderly individuals with multiple comorbidities and are associated with high mortality and morbidity[2]. Approximately 21.9% of the patients in the US will die within one year after a hip fracture[3]; and the higher mortality risk of these patients may persist for several years after the fracture[4].

Hip fractures are classified into two main categories according to their anatomic location: intracapsular and extracapsular[5]. The former can be treated either by osteosynthesis or joint replacement[6], whereas the later usually preserve the blood supply of the femoral neck and are treated by osteosynthesis[7]. Certain surgical complications such as nonunion, avascular necrosis, dislocation, and infection are directly related to the type of treatment used[8]. These complications may delay functional recovery and contribute to mortality[9]. Therefore, there is great need to discover and develop new treatment modalities to speed up the recovery process[10].

Recent in vivo studies have reported a relation between cholinergic receptor activity, and bone turnover[11-14]. Indeed, subtype α2 nicotinic receptor knockout mice are osteoporotic due to osteoclast up-regulation, whereas the stimulation of nicotinic receptors in wild type mice increased the bone mass due to osteoclast apoptosis[14]. Moreover, M3 muscarinic receptors favor bone formation and decrease bone resorption. M3 receptors knockout mice are osteoporotic due to an increase in the number of osteoclasts and a decrease in the number of osteoblasts. The stimulation of muscarinic receptors with cholinergic agonists in vitro increased osteoblast proliferation[12,15,16]. Altogether, the available literature seems to indicate that the inhibition of the AChR at the bone level seems to cause a reduction in bone turnover.

Acetylcholinesterase inhibitors (AChEIs) are a group of medications that stimulate the cholinergic receptors by inhibiting the action of acetylcholinesterase and increasing the synaptic levels of acetylcholine thus activating M1-M5 receptors[15,17]. However, these drugs may have different mechanisms of action, for example, the therapeutic action of galantamine is mainly mediated by an allosteric stimulation of the nAChRs rather than by general cholinergic enhancement due to cholinesterase inhibition[18], whereas rivastigmine and donepezil appear to increase the cholinergic activity of both muscarinic and nicotinic receptors[19,20]. These medications have been widely used in the treatment of Alzheimer’s disease (AD) since the mid-1990s[21]. Recent reports have observed that the use of AChEIs could decrease the hip fracture risk in AD patients[22]. Moreover, the use of AChEIs in elderly AD patients has been associated with enhanced hip fracture consolidation, better bone density, and fewer healing complications[23]. The mechanism by which these drugs regulate bone remodeling is not well understood. Our research team has recently reported that the body and visceral fat weights as well as serum leptin level were increased in donepezil-treated mice compared to controls. In addition, donepezil-treated mice had better bone density than controls due to a decrease in the osteoclast numbers. These results indicate that donepezil has a systemic effect on body energy metabolism and favors bone mass[24]. However, the potential post-surgical effects of these medications in patients with hip fractures have not yet been explored. We hypothesize that the use of AChEIs decreases the risk of post-surgical complications and therefore of death in patients with hip fractures. In order to test this hypothesis, we designed and carried out a retrospective cohort study in AD patients who suffered a hip fracture and underwent a surgical procedure for it.

Materials and methods

Study type and level of evidence: Retrospective cohort, level III

Regulatory approval

The study was approved by the Scientific and Ethical Advisory Group of the Clinical Practice Research Database (CPRD)[25], and the ethics review board of the McGill University Health Centre.

Data sources

We conducted a population-based retrospective cohort study using data from the CPRD, Hospital Episode Statistics (HES) database, and Office of National Statistics (ONS). The CPRD is the world’s largest computerized database of longitudinal records from primary care[25]. It contains medical records of more than 650 general practices across the UK and primary-care medical records of approximately 14 million UK inhabitants[26]. Clinical data collection was done using the Oxford Medical Information System (OXMIS) and disease read codes that are cross referenced to the International Classification of Diseases - 10th revision (ICD-10). Information on specific procedures was collected using the Office of Population Census and Surveys Coding System version 4 (OPCS4).

Cohort definition

First, we identified patients of age 65 years or above with a first-time diagnosis of AD according to the ICD-10 and OXMIS coding systems, who were registered in the computerized database between January 1998 and December 2012. To increase the probability of including only well-defined AD patients in the study population, we used an algorithm previously described by Imfeld et al[27], which was applied to all potential cases with a first-time diagnosis of AD. To be eligible for the study AD patients had to have at least one of the following: 1) a diagnosis of AD followed by at least one prescription for an AD specific medication or vice versa; 2) two prescriptions for an AD specific medication; 3) at least two recordings of an AD diagnosis; 4) an AD diagnosis after a specific dementia test (e.g., Clock Drawing Test, Mini Mental State Examination or Abbreviated Mental Test), a referral to a specialist (e.g., geriatrician, neurologist or psycho-geriatrician), or an evaluation based on a neuroimaging technique (e.g., magnetic resonance imaging, computed tomography, or single photon emission computed tomography); or 5) an AD diagnosis preceded or followed by any registered dementia symptoms (e.g., memory impairment, aphasia, apraxia, or agnosia).27 All the selected patients had at least one year of up-to-standard follow-up in the CPRD records before the diagnosis of AD.

Second, from the identified AD patients, we selected individuals who had a specific record of hip fracture according to the ICD-10 and OXMIS coding systems, followed by an OPCS4 code for a surgical procedure of the affected hip (e.g., joint replacement and osteosynthesis) within 7 days of the fracture. The date of the surgical procedure was designated as the index date. The proportion of patients recorded in the CPRD with fractures secondary to severe polytrauma is low (0.5-1%)[28]. Thus, we decided to include patients with fractures regardless of the causes identified in the computerized database.

Patients diagnosed with diseases or conditions known to substantially affect bone metabolism (i.e., osteomalacia, Paget’s disease, cancer (excluding non-melanoma skin cancer), human immunodeficiency virus (HIV), rheumatoid arthritis, peripheral vascular disease and alcoholism] as well as patients who used medications known to affect bone metabolism (i.e., corticosteroids, bisphosphonates, beta-blockers, and antiepileptic drugs) prior to the index date were excluded. Memantine can be an alternative option for the treatment of AD, and may also reduce the risk of fracture in these patients[29]. Thus, we decided to exclude from the study cohort all the patients who were treated with memantine any time before or after the index date (Figure 1).

Figure 1.

Figure 1

Flow chart of patients that met the inclusion / exclusion criteria for the study.

Exposure assessment

A detailed history of exposure to prescribed AChEIs (namely, rivastigmine, donepezil, and galantamine) was obtained from the Medicines and Healthcare Products Regulatory Agency and CPRD for the period between one year before the index date and the end of follow-up. An approach similar to intention-to-treat analysis was used to define exposure status, where patients who had at least one prescription for any type of AChEIs during the post-surgical follow-up period was considered as exposed.

Study outcomes and follow-up

Three study outcomes were used: reintervention (i.e., revision surgery, extraction of implanted material, re-fixation, or conversion to hip replacement), post-baseline hip fracture, and death. The outcomes were identified using data from the CPRD, HES and ONS and were analyzed independently. Patients in the study cohort were followed from the index date until death from any cause, loss to follow-up, one-year of follow-up from index date, or December 31st, 2013 whichever came first.

Potential confounders

Information on age, sex, body mass index (BMI), smoking status, duration of AD, type of surgical treatment, medical conditions associated with an increased fracture risk, institutionalization status, mobility status, and exposure to drugs that could increase the fracture risk was also collected from the CPRD (Table 1)[30,31]. The patients’ histories in respect to the disease at issue were ascertained at the index date. The use of the medications under the study was ascertained for the time period within one year before the index date and dichotomized as users and non-users. In order to reduce the possibility of confounding by myriad factor, three directed acyclic graphs (using the Dagitty 2.2 software[32]) were used to identify the confounders requiring control for each of the three different study outcomes. The following set of confounders was identified for each outcome: age, diabetes, duration of AD, ischemic heart disease, renal disease, and use of ACEIs, diuretics, SSRI, PPI, statins, and hypnotics.

Table 1.

Selected baseline characteristics of users and nonuser sub-cohorts.

Characteristics Users of AChEIs (n = 223) Nonusers (n=309) P-value b
Age in years
Mean ± SD 84.0 ± 7.0 84.6 ± 6.4 0.25
Sex
Men 21.5 26.2 0.21
Women 78.5 73.8
Years in the GPRD
Mean ± SD 5.5 ± 4.4 6.1 ± 4.0 0.07
Median (IQR) 3.6 (1.7 - 9.4) 5.5 (2.5 - 9.0) 0.02
Smoking status
Never 51.6 50.2
Current 1.8 1.9 0.93
Ex-smoker 4.9 5.5
Missing 41.7 42.4
Body mass index a
<20 16.6 17.5
20-24 29.2 33.0
25-29 12.1 14.2 0.59
≥30 4.0 2.9
Unknown 38.1 32.4
Duration of Alzheimer disease
<2 47.1 35.9
2-6 46.6 54.1 0.02
≥6 6.3 10.0
Surgical treatment
Joint replacement 56.5 45.0 0.009
Osteosynthesis 43.5 55.0
Comorbidity factors
Chronic pulmonary disease 14.4 18.5 0.21
Diabetes 9.4 6.5 0.21
Cerebrovascular disease 9.9 13.9 0.16
Chronic liver disease 0.5 0.3 0.49
Ischemic heart disease 83.0 86.1 0.32
Peptic ulcer 5.4 10.0 0.05
Renal diseases 2.2 3.2 0.49
Known Osteoporosis 3.1 2.6 0.71
History of falls 37.7 42.1 0.31
Institutionalization 21.1 12.3 0.006
Mobility
Walks without aid 93.7 95.2
Poor mobility 2.2 3.2
Very Poor mobility 0.3 0.9 0.34
Use of wheelchair 0.0 0.0
Bedridden 3.1 1.3
Use of medication
PPI 21.5 18.8 0.43
Statins 19.3 12.3 0.02
SSRI 25.6 20.4 0.16
Hypnotics 39.5 38.8 0.88
Diuretics 13.5 15.5 0.50
ACE inhibitors 17.5 10.4 0.02
Pre-baseline use of AChEIs 91.3 40.8 <0.001

Abbreviations: CI, confidence interval, PPI-proton pump inhibitors; SSRI- selective serotonin reuptake; ACE-Angiotensin converting enzyme, AChEIs - acetylcholinesterase inhibitors.

a

Measured as weight in kilograms divided by the square of height in meters*.

b

Nonparametric median test and Chi2 test for homogeneity.

Sample size consideration

Previous studies have shown that 53% of AD patients with a hip fracture were AChEI users[22] and post-surgical mortality rate is approximately 21.9% among this population[3]. Based on this information our study required a sample size of 517 participants to detect a hazard ratio of 0.59 or below with a power of 80% at a significance level of 0.05.

Statistical analysis

The distributions of relevant patient-characteristics were examined and compared between the study groups. Kaplan-Meier estimators were plotted to explore the survival function according to the use of the drug for each outcome. Cox’s proportional hazard model was used to estimate the association between AChEI use and post-surgical complications and mortality.

Crude and adjusted hazard-ratios (HR) for death and the complications were estimated along with the accompanying 95% confidence intervals (CIs). All analyses were carried out at a significance level of 5% using SAS version 9.3 (SAS Institute Inc. Cary NC). Missing data were represented as a separate category and patients who were lost to follow up considered as censored.

Results

After applying our inclusion and exclusion criteria, we identified a total of 532 patients diagnosed with AD who sustained a hip fracture during the study period. During the follow-up period, 34% of the patients died (n=182), 22% suffered a second hip fracture (n=118) and 5% (n=29) underwent reintervention; this added up to 328 outcomes (Figure 1). A total of 223 individuals were classified as users of AChEIs and 309 as non-users. The distributions of users and non-users of AChEIs by age, gender, years of registration in the CPRD, smoking status, BMI, duration of AD, treatment type, and comorbidity factors are presented in [Table 1]. The duration of AD differed between the two groups as non-users suffered from the disease for a longer time. The majority of AChEIs users (91.3%) had at least one prescription during the year prior to the index date of surgery compared to less than half of non-users (40.8%). Although non-users had been registered in the CPRD records for longer, the distributions of comorbidities were similar between users and non-users of AChEIs. There were no differences in the history of fall between the groups and more than 90% of both groups did not have any mobility concerns. However, 56.5% of AChEIs users had a joint replacement surgery compared to 45% of non-users. In addition, the use of ACE inhibitors and statins was more frequent in users than in non-users of AChEIs (Table 1). No differences were observed between the two groups regarding distributions of age, gender, smoking status, and BMI (Table 1). [Figure 2] presents the Kaplan-Meier survival estimators for the three outcomes according to AChEI use.

Figure 2.

Figure 2

Kaplan-Meier survival curves for all-cause mortality, second hip fracture and ipsilateral reintervention according to AChEI use.

Multivariate Cox’s proportional hazard model results suggest that compared to non-users, users of AChEIs had a 56% reduction in all-cause mortality during a period of one year following surgery (HR=0.44, 95%CI=0.30-0.63), after adjusting for pre-baseline use of the drug and other potential confounders (Table 2). The users showed a 41% reduction in second hip-fracture during the follow-up period (HR=0.59, 95%CI=0.38-0.94). No association was found between use of AChEIs and the risk of ipsilateral post-surgical reintervention (HR=0.72, 95%CI=0.27-1.92) (Table 2).

Table 2.

Association between use of Acetylcholinesterase Inhibitors and all-cause mortality.

AChEIs use Post-surgical outcomes Crude HR (95% CI) Adjusted HRa (95% CI)
Second hip fracture
No (n=414) Yes (n=118)
Non-user 237 (57.3) 72 (61.0) 1 1
User 177 (42.7) 46 (39.0) 0.74 (0.51,1.08) 0.59 (0.38-0.94)
Ipsilateral hip reintervention
No (n=503) Yes (n=29)
Non-user 293 (58.3) 16 (55.2) 1 1
User 210 (41.7) 13 (44.8) 0.94 (0.47-1.96) 0.72 (0.27-1.92)
All-cause mortality
Alive (n=350) Dead (n=182)
Non-user 199 (56.9) 110 (60.0) 1 1
User 151 (43.1) 72 (40.0) 0.65 (0.48,0.88) 0.44 (0.30-0.63)
a

Adjusted for: age, diabetes, ischemic heart disease, renal disease, duration of Alzheimer’s disease (<2, 2-6, >6 years) and use of selective serotonin reuptake inhibitors, hypnotics, proton pump inhibitors, diuretics, statins, history of falls and pre-baseline use of acetylcholinesterase Inhibitors. Abbreviations: AChEIs - acetylcholinesterase inhibitors, HR - hazard ratio, Ci - confidence interval.

Discussion

In this study, the one-year mortality rates in AD patients after suffering a hip fracture were lower in users than in non-users of AChEIs. Patients with hip fractures are subject to potentially multiple medical and surgical complications that can eventually lead to reintervention or death[33,34]. Previous reports estimate that the one-year mortality rate after suffering a hip fracture to range from 14% to 37%[3,35,36], and that the risk of death may remain high for up to 6 years after the fracture[37]. On the other hand, AD is also a significant cause of morbidity and mortality in elderly patients and is a risk factor for hip fractures[38]. In this study, the one-year mortality rate in AD patients after suffering a hip fracture was the upper limit of values previously reported in the literature[3,35,36].

We also observed that the second hip fracture rates were lower for AChEIs users compared to non-users. Suffering a second hip fracture can be a particularly serious complication in elderly individuals; however, little research has been conducted on the potential consequences of this condition. Nevertheless, the second hip fracture rate has been estimated to range between 2% and 11 % in the general population[39,40]. Accordingly, our results indicate that AD patients may have a considerably higher risk of suffering a second hip fracture compared to the general population (i.e., 2-4 folds).

Previous studies have shown that cholinergic activity may be positively related to osteoblastic proliferation and differentiation in bone[15,16,41]. Moreover, AChEIs are known to increase synaptic acetylcholine levels in the organism[17]; therefore, our results could be partially explained by a rise in osteoblastic proliferation and differentiation caused by an AChEIs-mediated increase in the cholinergic activity[16,41]. Furthermore, the use of AChEIs in elderly AD patients has been associated with a lower hip fracture risk, enhanced hip fracture consolidation, better bone density and fewer healing complications[22,23]. Nevertheless, the use AChEIs has also been associated with a risk of orthostatic hypotension[42] and syncope related-falls[43], which could eventually increase the hip fracture risk. In our study we found a reduction in second hip fracture risk among AChEI users. Even though we did not investigate the specific cause of these second hip fractures we could hypothesize that perhaps the effects of AChEIs on bone accrual seem to have outweighed the potential increase in the risk of syncope-related fractures.

The British national guidelines for the treatment of AD recommend the use of AChEIs (e.i., donepezil, galantamine and rivastigmine) in mild to moderately severe disease[44]. The presence of a hip fracture is not considered a reason for the modification of the treatment with AChEIs[44]. In this study, the data quality on the degree of AD was not optimal; therefore, AD patients were instead categorized according to duration of AD. Some differences were observed between the two groups at the baseline regarding the duration of AD, type of surgical treatment, and intake of ACEIs and statins. These variables could influence the mortality rates of the studied population; however, our results were significant after adjustment for these potential confounders.

The reintervention rates in hip fractures may depend on several factors such as the fracture type, the selected surgical procedure and the prosthetic implant[45,46]. In this study, the reintervention rates during the first year of follow-up did not differ significantly between users and non-users of AChEIs. This study was designed to analyze the effect of AChEIs in AD patients with hip fractures, thus our results cannot be extrapolated into the general population, and new studies should be designed to assess the potential effects of these drugs in elderly patients with hip fractures.

Our study has several strengths and limitation. First, it has a small sample size due to stringent criteria to defined AD patients. While this may have affected the precision of our results, we followed an algorithm that has been previously validated[27]. Moreover, previous studies have validated the accuracy of the CPRD in the ascertainment of patients with AD or fractures[47,48]. Furthermore, we used a high quality population-based database that covers a well-defined population with a low likelihood of selection bias. A second limitation is the definition of exposure (users and non-users of AChEIs) according to the follow-up period; this design could make the results prone to the immortal-time bias, making the medication look beneficial or at least more beneficial than it really is[49]. One of the suggested analytical strategies to address immortal-time bias is time-dependent modeling of the exposure. However, only the day of prescription is available in CPRD and not the day of dispensing of the drug. The variable may have large measurement errors which in turn may render results from complex modeling of exposure less valid.

Third, although we adjusted for a range of potential confounding factors, residual confounding caused by unrecorded or incomplete data cannot be ruled out. However, we adjusted for a number of relevant risk factors which were selected using a DAG model. The latter avoids over-adjustment bias and unnecessary adjustment[50].

Following a hip fracture, AD patients seem to have a very high risk of mortality and second fracture. However, our results suggest that AD patients who had at least one post-surgical prescription for AChEIs may have a reduced risk of all-cause mortality and second hip fracture during the year following surgery when adjusting for pre-baseline use of the drug. Patients with AD could potentially benefit from the positive effects AChEIs have on bone. However, whether these effects could apply to the general elderly population remains unknown, and future clinical trials and prospective cohort studies should be performed to answer this question.

Acknowledgements

We acknowledge financial support from the Canadian Institute of Health Research.

Authors’ authors’ professional and financial affiliations: Tamimi Iskandar - Post-Doctoral fellow, Faculty of Dentistry, McGill University, 3640 University Street, Montreal, Canada, H3A 2B2; Madathil Sreenath Arekunnath - PhD Student, Division of Oral Health and Society Research, Faculty of Dentistry, McGill University, 2001 McGill College Avenue, Montreal, Canada, H3A 1G1; Kezouh Abbas - Research Associate, Center for Clinical Epidemiology, Lady Davis Institute, Department of Epidemiology and Biostatistics, 3755 Cote-Ste-Catherine Road, Montreal, Canada, H3T 1E2; Nicolau Belinda - Associate Professor, Division of Oral Health and Society Research, Faculty of Dentistry, McGill University, 2001 McGill College Avenue, Montreal, Canada, H3A 1G1; Karp Igor - Associate Professor, Department of Epidemiology and Biostatistics, Kersge Building K214, Western University, London, Ontario, Canada, N6A 5C1; Tamimi Faleh - Associate Professor, Faculty of Dentistry, McGill University, 3640 University Street, Montreal, Canada, H3A 2B2.

Footnotes

The authors have no conflict of interest.

Edited by: F. Rauch

Author’s contribution

Abbas Kezouh had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Tamimi Iskandar, Nicolau Belinda, Karp Igor, Tamimi Faleh. Acquisition, analysis, or interpretation of data: Tamimi Iskandar, Madathil Sreenath Arekunnath, Kezouh Abbas, Nicolau Belinda, Karp Igor, Tamimi Faleh. Drafting of the manuscript: Tamimi Iskandar, Madathil Sreenath Arekunnath, Nicolau Belinda, Karp Igor, Tamimi Faleh. Critical revision of manuscript for important intellectual content: Tamimi Iskandar, Madathil Sreenath Arekunnath, Nicolau Belinda, Karp Igor, Tamimi Faleh. Administrative, technical, or material support: Tamimi Faleh, Kezouh Abbas.

The Corresponding author takes responsibility for communicating with all other authors and getting their approval for the final version to be published.

References

  • 1.Johnell O, Kanis JA. An estimate of the worldwide prevalence and disability associated with osteoporotic fractures. Osteoporos Int. 2006;17(12):1726–33. doi: 10.1007/s00198-006-0172-4. [DOI] [PubMed] [Google Scholar]
  • 2.Forsen L, Sogaard AJ, Meyer HE, Edna T, Kopjar B. Survival after hip fracture: short- and long-term excess mortality according to age and gender. Osteoporos Int. 1999;10(1):73–8. doi: 10.1007/s001980050197. [DOI] [PubMed] [Google Scholar]
  • 3.LeBlanc ES, Hillier TA, Pedula KL, Rizzo JH, Cawthon PM, Fink HA, et al. Hip fracture and increased short-term but not long-term mortality in healthy older women. Arch Intern Med. 2011;171(20):1831–7. doi: 10.1001/archinternmed.2011.447. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Vestergaard P, Rejnmark L, Mosekilde L. Has mortality after a hip fracture increased? J Am Geriat Soc. 2007;55(11):1720–6. doi: 10.1111/j.1532-5415.2007.01420.x. [DOI] [PubMed] [Google Scholar]
  • 5.Mautalen CA, Vega EM. Different characteristics of cervical and trochanteric hip fractures. Osteoporos Int. 1993;3(Suppl1):102–5. doi: 10.1007/BF01621878. [DOI] [PubMed] [Google Scholar]
  • 6.Tidermark J, Ponzer S, Svensson O, Soderqvist A, Tornkvist H. Internal fixation compared with total hip replacement for displaced femoral neck fractures in the elderly. A randomised, controlled trial. J Bone Joint Surg Br. 2003;85(3):380–8. doi: 10.1302/0301-620x.85b3.13609. [DOI] [PubMed] [Google Scholar]
  • 7.Wang Q, Yang X, He HZ, Dong LJ, Huang DG. Comparative study of InterTAN and Dynamic Hip Screw in treatment of femoral intertrochanteric injury and wound. Int J Clin Exp Med. 2014;7(12):5578–82. [PMC free article] [PubMed] [Google Scholar]
  • 8.Parker MJ, Raghavan R, Gurusamy K. Incidence of fracture-healing complications after femoral neck fractures. Clin Orthop Relat Res. 2007;458:175–9. doi: 10.1097/BLO.0b013e3180325a42. [DOI] [PubMed] [Google Scholar]
  • 9.Nielsen KA, Jensen NC, Jensen CM, Thomsen M, Pedersen L, Johnsen SP, et al. Quality of care and 30 day mortality among patients with hip fractures: a nationwide cohort study. BMC Health Serv Res. 2009;9:186. doi: 10.1186/1472-6963-9-186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Muraki S, Yamamoto S, Ishibashi H, Nakamura K. Factors associated with mortality following hip fracture in Japan. J Bone Miner Metab. 2006;24(2):100–4. doi: 10.1007/s00774-005-0654-z. [DOI] [PubMed] [Google Scholar]
  • 11.Alkondon M, Pereira EF, Almeida LE, Randall WR, Albuquerque EX. Nicotine at concentrations found in cigarette smokers activates and desensitizes nicotinic acetylcholine receptors in CA1 interneurons of rat hippocampus. Neuropharmacology. 2000;39(13):2726–39. doi: 10.1016/s0028-3908(00)00156-8. [DOI] [PubMed] [Google Scholar]
  • 12.Kliemann K, Kneffel M, Bergen I, Kampschulte M, Langheinrich AC, Durselen L, et al. Quantitative analyses of bone composition in acetylcholine receptor M3R and alpha7 knockout mice. Life Sci. 2012;91(21-22):997–1002. doi: 10.1016/j.lfs.2012.07.024. [DOI] [PubMed] [Google Scholar]
  • 13.Rothem DE, Rothem L, Soudry M, Dahan A, Eliakim R. Nicotine modulates bone metabolism-associated gene expression in osteoblast cells. J Bone Miner Metab. 2009;27(5):555–61. doi: 10.1007/s00774-009-0075-5. [DOI] [PubMed] [Google Scholar]
  • 14.Bajayo A, Bar A, Denes A, Bachar M, et al. Skeletal parasympathetic innervation communicates central IL-1 signals regulating bone mass accrual. Proc Natl Acad Sci USA. 2012;109(38):15455–60. doi: 10.1073/pnas.1206061109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Shi Y, Oury F, Yadav VK, Wess J, Liu XS, Guo XE, et al. Signaling through the M(3) muscarinic receptor favors bone mass accrual by decreasing sympathetic activity. Cell Metab. 2010;11(3):231–8. doi: 10.1016/j.cmet.2010.01.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Liu PS, Chen YY, Feng CK, Lin YH, Yu TC. Muscarinic acetylcholine receptors present in human osteoblast and bone tissue. Eur J Pharmacol. 2011;650(1):34–40. doi: 10.1016/j.ejphar.2010.09.031. [DOI] [PubMed] [Google Scholar]
  • 17.Eimar H, Tamimi I, Murshed M, Tamimi F. Cholinergic regulation of bone. J Musculoskelet Neuronal Interact. 2013;13(2):124–32. [PubMed] [Google Scholar]
  • 18.Maelicke A, Albuquerque EX. Allosteric modulation of nicotinic acetylcholine receptors as a treatment strategy for Alzheimer’s disease. Eur J Pharmacol. 2000;393(1-3):165–70. doi: 10.1016/s0014-2999(00)00093-5. [DOI] [PubMed] [Google Scholar]
  • 19.Clayton BA, Hayashida K, Childers SR, Xiao R, Eisenach JC. Oral donepezil reduces hypersensitivity after nerve injury by a spinal muscarinic receptor mechanism. Anesthesiology. 2007;106(5):1019–25. doi: 10.1097/01.anes.0000265163.22007.6d. [DOI] [PubMed] [Google Scholar]
  • 20.Chen Y, Shohami E, Constantini S, Weinstock M. Rivastigmine, a brain-selective acetylcholinesterase inhibitor, ameliorates cognitive and motor deficits induced by closed-head injury in the mouse. J Neurotrauma. 1998;15(4):231–7. doi: 10.1089/neu.1998.15.231. [DOI] [PubMed] [Google Scholar]
  • 21.Massoud F, Gauthier S. Update on the pharmacological treatment of Alzheimer’s disease. Curr Neuropharmacol. 2010;8(1):69–80. doi: 10.2174/157015910790909520. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Tamimi I, Ojea T, Sanchez-Siles JM, Rojas F, Martin I, Gormaz I, et al. Acetylcholinesterase inhibitors and the risk of hip fracture in Alzheimer’s disease patients: a case-control study. J Bone Miner Res. 2012;27(7):1518–27. doi: 10.1002/jbmr.1616. [DOI] [PubMed] [Google Scholar]
  • 23.Eimar H, Perez Lara A, Tamimi I, Marquez Sanchez P, Gormaz Talavera I, Rojas Tomba F, et al. Acetylcholinesterase inhibitors and healing of hip fracture in Alzheimer’s disease patients: a retrospective cohort study. J Musculoskelet Neuronal Interact. 2013;13(4):454–63. [PubMed] [Google Scholar]
  • 24.Eimar H, Alebrahim S, Manickam G, Al-Subaie A, Abu-Nada L, Murshed M, et al. Donepezil regulates energy metabolism and favors bone mass accrual. Bone. 2016;84:131–8. doi: 10.1016/j.bone.2015.12.009. [DOI] [PubMed] [Google Scholar]
  • 25.Herrett EL, Thomas SL, Smeeth L. Validity of diagnoses in the general practice research database. Br J Gen Pract. 2011;61(588):438–9. doi: 10.3399/bjgp11X583092. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Lawrenson R, Williams T, Farmer R. Clinical information for research;the use of general practice databases. J Public Health Med. 1999;21(3):299–304. doi: 10.1093/pubmed/21.3.299. [DOI] [PubMed] [Google Scholar]
  • 27.Imfeld P, Brauchli Pernus YB, Jick SS, Meier CR. Epidemiology, co-morbidities, and medication use of patients with Alzheimer’s disease or vascular dementia in the UK. J Alzheimers Dis. 2013;35(3):565–73. doi: 10.3233/JAD-121819. [DOI] [PubMed] [Google Scholar]
  • 28.Meier CR, Schlienger RG, Kraenzlin ME, Schlegel B, Jick H. HMG-CoA reductase inhibitors and the risk of fractures. JAMA. 2000;283(24):3205–10. doi: 10.1001/jama.283.24.3205. [DOI] [PubMed] [Google Scholar]
  • 29.Kim DH, Brown RT, Ding EL, Kiel DP, Berry SD. Dementia medications and risk of falls, syncope, and related adverse events: meta-analysis of randomized controlled trials. J Am Geriatr Soc. 2011;59(6):1019–31. doi: 10.1111/j.1532-5415.2011.03450.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Yang YX, Lewis JD, Epstein S, Metz DC. Long-term proton pump inhibitor therapy and risk of hip fracture. JAMA. 2006;296(24):2947–53. doi: 10.1001/jama.296.24.2947. [DOI] [PubMed] [Google Scholar]
  • 31.Moura C, Bernatsky S, Abrahamowicz M, Papaioannou A, Bessette L, Adachi J, et al. Antidepressant use and 10-year incident fracture risk: the population-based Canadian Multicentre Osteoporosis Study (CaMoS) Osteoporos Int. 2014;25(5):1473–81. doi: 10.1007/s00198-014-2649-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Textor J, Hardt J, Knuppel S. DAGitty: a graphical tool for analyzing causal diagrams. Epidemiology. 2011;22(5):745. doi: 10.1097/EDE.0b013e318225c2be. [DOI] [PubMed] [Google Scholar]
  • 33.Paula Fde L, Cunha GM, Leite Ida C, Pinheiro RS, Valente JG. Elderly readmission and death after discharge from treatment of hip fracture, occurred in public hospitals from 2008 to 2010, Rio de Janeiro. Rev Bras Epidemiol. 2015;18(2):439–53. doi: 10.1590/1980-5497201500020012. [DOI] [PubMed] [Google Scholar]
  • 34.Roche JJ, Wenn RT, Sahota O, Moran CG. Effect of comorbidities and postoperative complications on mortality after hip fracture in elderly people: prospective observational cohort study. BMJ (Clinical research ed) 2005;331(7529):1374. doi: 10.1136/bmj.38643.663843.55. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Panula J, Pihlajamaki H, Mattila VM, Jaatinen P, Vahlberg T, Aarnio P, et al. Mortality and cause of death in hip fracture patients aged 65 or older: a population-based study. BMC Musculoskelet Disord. 2011;12:105. doi: 10.1186/1471-2474-12-105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.LaVelle D. Campbell’s Operative Orthopaedics. 10th. Philadelphia: Canale ST. (Ed), Mosby; 2003. Fractures of hip. [Google Scholar]
  • 37.Farahmand BY, Michaelsson K, Ahlbom A, Ljunghall S, Baron JA. Survival after hip fracture. Osteoporos Int. 2005;16(12):1583–90. doi: 10.1007/s00198-005-2024-z. [DOI] [PubMed] [Google Scholar]
  • 38.Weller I, Schatzker J. Hip fractures and Alzheimer’s disease in elderly institutionalized Canadians. Ann Epidemiol. 2004;14(5):319–24. doi: 10.1016/j.annepidem.2003.08.005. [DOI] [PubMed] [Google Scholar]
  • 39.Lonnroos E, Kautiainen H, Karppi P, Hartikainen S, Kiviranta I, Sulkava R. Incidence of second hip fractures. A population-based study. Osteoporos Int. 2007;18(9):1279–85. doi: 10.1007/s00198-007-0375-3. [DOI] [PubMed] [Google Scholar]
  • 40.Berry SD, Samelson EJ, Hannan MT, McLean RR, Lu M, Cupples LA, et al. Second hip fracture in older men and women: the Framingham Study. Arch Intern Med. 2007;167(18):1971–6. doi: 10.1001/archinte.167.18.1971. [DOI] [PubMed] [Google Scholar]
  • 41.Sato T, Abe T, Chida D, Nakamoto N, Hori N, Kokabu S, et al. Functional role of acetylcholine and the expression of cholinergic receptors and components in osteoblasts. FEBS Lett. 2010;584(4):817–24. doi: 10.1016/j.febslet.2010.01.001. [DOI] [PubMed] [Google Scholar]
  • 42.Arsura EL, Brunner NG, Namba T, Grob D. Adverse Cardiovascular Effects of Anticholinesterase Medications. Am J Med Sci. 1987;293(1):18–23. doi: 10.1097/00000441-198701000-00005. [DOI] [PubMed] [Google Scholar]
  • 43.Bordier P, Garrigue S, Barold SS, Bressolles N, Lanusse S, Clementy J. Significance of syncope in patients with Alzheimer’s disease treated with cholinesterase inhibitors. Europace. 2003;5(4):429–31. doi: 10.1016/s1099-5129(03)00080-1. [DOI] [PubMed] [Google Scholar]
  • 44.National Institute for Health and Clinical Excellence. Final Appraisal Determination Alzheimer’s disease - donepezil, galantamine, rivastigmine (review) & memantine. Issue date: May 2006. [Google Scholar]
  • 45.Davison JN, Calder SJ, Anderson GH, Ward G, Jagger C, Harper WM, et al. Treatment for displaced intracapsular fracture of the proximal femur. A prospective, randomised trial in patients aged 65 to 79 years. J Bone Joint Surg Br. 2001;83(2):206–12. doi: 10.1302/0301-620x.83b2.11128. [DOI] [PubMed] [Google Scholar]
  • 46.Bonnaire F, Gotschin U, Kuner EH. [Early and late results of 200 DHS osteosyntheses in the reconstruction of pertrochanteric femoral fractures] Der Unfallchirurg. 1992;95(5):246–53. [PubMed] [Google Scholar]
  • 47.Davies NM, Kehoe PG, Ben-Shlomo Y, Martin RM. Associations of anti-hypertensive treatments with Alzheimer’s disease, vascular dementia, and other dementias. J Alzheimers Dis. 2011;26(4):699–708. doi: 10.3233/JAD-2011-110347. [DOI] [PubMed] [Google Scholar]
  • 48.Schlienger RG, Kraenzlin ME, Jick SS, Meier CR. Use of beta-blockers and risk of fractures. JAMA. 2004;292(11):1326–32. doi: 10.1001/jama.292.11.1326. [DOI] [PubMed] [Google Scholar]
  • 49.Levesque LE, Hanley JA, Kezouh A, Suissa S. Problem of immortal time bias in cohort studies: example using statins for preventing progression of diabetes. BMJ. 2010;340:b5087. doi: 10.1136/bmj.b5087. [DOI] [PubMed] [Google Scholar]
  • 50.Schisterman EF, Cole SR, Platt RW. Overadjustment bias and unnecessary adjustment in epidemiologic studies. Epidemiology. 2009;20(4):488–95. doi: 10.1097/EDE.0b013e3181a819a1. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Journal of Musculoskeletal & Neuronal Interactions are provided here courtesy of International Society of Musculoskeletal and Neuronal Interactions (ISMNI)

RESOURCES