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Vol. 37. Issue 4.
(October - December 2023)
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Vol. 37. Issue 4.
(October - December 2023)
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Risk of developing avascular necrosis of the femoral head and neck among patients with bipolar disorder: A nationwide cohort study
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Dian-Jeng Lia,b, Ta-Chuan Yehc, Shih-Jen Tsaid,e,f, Tzeng-Ji Cheng,h, Chih-Sung Liangi,j,1, Mu-Hong Chend,e,f,1,
Corresponding author
kremer7119@gmail.com

Corresponding author at: Department of Psychiatry, No. 201, Sec. 2, Shihpai Road, Beitou District, Taipei 11217, Taiwan.
a Department of Addiction Science, Kaohsiung Municipal Kai-Syuan Psychiatric Hospital, Kaohsiung, Taiwan
b Department of Nursing, Meiho University, Pingtung 91200, Taiwan
c Department of Psychiatry, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan
d Department of Psychiatry, Taipei Veterans General Hospital, Taipei, Taiwan
e Department of Psychiatry, College of Medicine, National Yang-Ming University, Taipei, Taiwan
f Institute of Brain Sciences, National Yang-Ming University, Taipei, Taiwan
g Department of Family Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
h Institute of Hospital and Health Care Administration, National Yang-Ming University, Taipei, Taiwan
i Department of Psychiatry, National Defense Medical Center, Taipei, Taiwan
j Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, Taipei, Taiwan
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Tables (4)
Table 1. Demographic characteristics and incidence of avascular necrosis of head and neck of femur among patients with bipolar disorder and controls.
Table 2. Risk of developing avascular necrosis of head and neck of femur among patients with bipolar disorder and controls, stratified by disease severity.
Table 3. The effect of alcohol use disorder on the Risk of developing avascular necrosis of head and neck of femur.
Table 4. Risk of avascular necrosis of head and neck of femur categorized by different groups of cumulative defined daily dose with psychotropic agents among patients with bipolar disorder.
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Abstract
Background and objectives

The association between bipolar disorder (BD) and avascular necrosis of the femoral head and neck (AVNHNF) remains unclear. We aimed to investigate the risk of AVNHNF among different polarity of BD.

Methods

Between 2001 and 2010, patients with BD were selected from the Taiwan National Health Research Database. The controls were individuals without severe mental disorder who were matched for demographic, medical and psychiatric comorbidities. Cox regression analysis was used to estimate the risk of AVNHNF, with adjustments for demographics, comorbidities, exposure to corticosteroids, and all-cause clinical visits.

Results

A total of 84,721 patients with BD and 169,442 controls were included. Patients with BD demonstrated a 1.92-fold (95% of confidence interval: 1.21–3.04) higher risk of AVNHNF compared with the controls. The risk was increased to 7.91-fold (4.32–14.49) in patients with severe BD compared with the controls. Importantly, patients with severe bipolar depression were associated with a 14.23-fold higher risk of AVNHNF compared with the controls, while those with sever bipolar mania were associated with a 3.55-fold higher risk. Compared with the controls with alcohol use disorder (AUD), patients with BD and comorbid AUD were associated with a 2.0-fold higher risk of AVNHNF. Finally, long-term use of atypical antipsychotics was associated with a decreased risk of AVNHNF).

Conclusion

Clinicians should be aware of the increased risk of AVNHNF among patients with BD. This increased risk was associated with disorder severity, polarity, and comorbidity with AUD, and attenuated by long-term atypical antipsychotic treatment.

Keywords:
Avascular necrosis of the femoral head and neck
Bipolar disorder
Alcohol use disorder
Atypical antipsychotics
Severity
NHIRD
Full Text
Introduction

Avascular necrosis (AVN) of the femoral head and neck (AVNHNF) is a degenerative condition involving cell death of the bone or marrow, resulting in collapse of the articular surface.1 The natural progression of AVNHNF starts with infarction of the subchondral bone of the femoral head, flattening of the articular cartilage, narrowing of the joint space, subsequent osteoarthrosis of the hip, and progression to irreversible degeneration of the hip joint.2-4 AVNHNF is a debilitating, potentially disabling disease that typically affects people younger than 50 years old4; it is the cause of approximately 10% of total hip replacements per year in the United States.5 To date, the etiology of AVNHNF is still poorly understood; however, several risk factors have been reported, including traumatic injury, radiation injury, myeloproliferative disorders, sickle cell disease, coagulation disorders, infection with human immunodeficiency virus (HIV), systemic lupus erythematosus (SLE), pregnancy, and specific medications (e.g., corticosteroids).6-9

Previous studies have linked AVNHNF to mental health problems, showing that depression, anxiety, and pain catastrophizing were significantly associated with hip pathology, including osteoarthritis and AVN.10-12 A previous study found that 48% of patients with depression developed AVN, while only 9% of patients without depression developed AVN after an operation for femoral neck fractures.12 Alcohol use has also been reported as a major risk factor for AVNHNF. Alcohol abuse has been reported to account for approximatively 30 to 40% of patients who developed hip or femoral osteonecrosis.13-15 There seems to be a dose response relationship between alcohol use and AVNHNF; however, the threshold for the threshold level of alcohol consumption associated with the development of avascular necrosis has not been clearly established.16 Previous literature has reported multifactorial etiologies for the association between alcohol use and AVNHNF, such as genetic susceptibility, environmental factors, and medical comorbidities.16,17

Although AVNHNF has been previously associated with depression, it remains understudied in people with bipolar disorder (BD), which is also a major affective disorder with an approximate life prevalence of 1.06% for BD type 1 and 1.57% for BD type 2.18 BD is characterized by extreme mood changes, from depression to mania, and continues to be deleterious to quality of life and can even lead to disability.19,20 Several factors may contribute the association between BD and AVNHNF. As the risk factors of AVNHNF are reported (e.g., SLE, HIV infection or use of corticosteroid),6-9 SLE is also identified as the independent factor associated with BD.21 In addition, the prevalence of BD type 1 in the HIV patients shows 5.6%, which is almost six times higher than the US general population (1%).22 Furthermore, patients treated with corticosteroid have risk to develop mood instability, anxiety, depression, or mania.23,24 Corticosteroids have been reported to be associated with various aspects of brain physiology, including neurotoxicity.25 On the other hand, chronic corticosterone administration results in dysfunction of the medial prefrontal cortex,26 where is associated with BD.27 To date, no studies have examined the role of BD's severity and polarity (i.e., bipolar depression or bipolar mania) in the risk of AVNHNF. In addition, alcohol use disorder (AUD) is reported to be highly prevalent in patients with BD.28 However, the potential joint effect of BD and AUD on the risk of AVNHNF remains unknown. The aim of the current study was to investigate the risk of severe AVNHNF among patients with BD using a nationwide longitudinal study design. We hypothesized that patients with BD would be associated with an increased risk of severe AVNHNF, and that this risk would be modified by the severity and the polarity of BD and its associated comorbidities and psychotropic treatment.

Materials and methodsData source

This study has been approved by an Institutional Review Board of Taipei Veterans General Hospital (2018-07-016AC). Taiwan's National Health Insurance is a mandatory universal health insurance program which offers comprehensive medical care coverage to all Taiwanese residents (more than 23 million people). The Taiwan National Health Research Institute (NHRI) manages the National Health Insurance Research Database (NHIRD), which is a database of all insurance claims in Taiwan and consists of healthcare data from >99% of the population of Taiwan. The NHRI audits and releases the NHIRD for scientific and study purposes.29,30 Individual medical records included in the NHIRD are anonymized to protect patient privacy. Comprehensive information on insured individuals is included in the database, including demographic data, dates of clinical visits, diagnoses, prescriptions, and medical interventions. The diagnostic codes used are based on the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM). The NHIRD has been used extensively in previous epidemiological studies.31-34

Inclusion criteria for patients with BD and the control group

We enrolled adults aged ≥20 years who received a diagnosis of BD (ICD-9-CM codes: 296 except 296.2x, 296.3x, 296.9x, and 296.82) between January 1st 2001 and December 31st 2010, from board-certified psychiatrists based on a comprehensive diagnostic interview and their clinical judgement, and who had no history of avascular necrosis (ICD-9-CM code: 733.4) before enrollment. The time of enrollment was defined as the time of a diagnosis with BD. The controls were randomly selected after eliminating the study cases, individuals who had been diagnosed with severe mental disorders (ICD-9-CM codes: 295, 296) at any time, and individuals with avascular necrosis before enrollment.35 The controls were matched (1:2) according to the following criteria: age (± 1 year)-, sex-, time-of-enrollment-, medical comorbidity-, income (levels 1–3 per month: ≤15,840 New Taiwanese Dollars (NTD), 15,841–25,000 NTD, and ≥25,000 NTD)-, and level-of-urbanization (levels 1–5, most to least urbanized, a proxy for healthcare availability in Taiwan). The primary outcome variable in this study was the first hospitalization for severe AVNHNF during the follow-up period (from enrollment to December 31st 2011 or death), which was defined as the principal diagnosis at discharge based on the ICD-9 code, 733.42. A diagnosis of AVNHNF was given by board-certified orthopedic surgeons.

We controlled for potential confounding factors for the association between BD and the risk of severe AVNHNF, including exposure to corticosteroids (≥90 days vs <90 days) and psychiatric and medical comorbidities. We identified the 90 days of exposure as a long-term exposure of corticosteroids because long-term exposure to corticosteroids was considered an AVNHNF risk factor.36 The investigated psychiatric comorbidities were substance use disorder (SUD) and AUD. The investigated medical comorbidities were hypertension, dyslipidemia, diabetes mellitus, obesity, femoral neck fracture, and smoking. Additionally, the Charlson Comorbidity Index (CCI) and all-cause clinical visits were provided for the BD cohort and the controls. The CCI consisting of 22 physical conditions was used to determine the systemic health condition of all enrolled subjects.37 Higher scores on the CCI indicate a more severe physical condition and consequently, a worse health status.

Over the follow-up period, the use of psychotropic medications (antidepressants, mood stabilizers, and atypical antipsychotics) was divided into 3 subgroups: non-users (cumulative defined daily dose [cDDD] during the follow-up period <30), short-term users (cDDD = 30–364), and long-term users (cDDD ≥365). Antidepressants used included fluoxetine, sertraline, paroxetine, fluvoxamine, citalopram, escitalopram, venlafaxine, duloxetine, milnacipran, bupropion, and mirtazapine. Mood stabilizers used included lithium and anticonvulsants (carbamazepine, oxcarbazepine, valproate, lamotrigine, topiramate, and gabapentin), and atypical antipsychotics including aripiprazole, risperidone, paliperidone, olanzapine, amisulpride, ziprasidone, clozapine, and quetiapine.

The primary outcome of the current study is the risk of severe AVNHNF among patients with BD compared with controls. The frequency (times per year) of psychiatric admission for BD was assessed, and regarded as an indicator of disease severity for BD in our study. The disease severity was also stratified to identify its effect on the risk of AVNHNF among patients with BD. Furthermore, the frequency of psychiatric admission for manic/mixed and depressive episodes of BD were separately examined so that the association between manic/mixed and depressive episodes and severe AVNHNF risk could be clarified. In addition, all-cause clinical visits (the number of clinical visits per year) for the BD cohort and the matched-controls were included as a variable to account for potential detection bias.

Statistical analysis

For between-group comparisons, the F test was used for continuous variables and Pearson's χ2 test for nominal variables, where appropriate. Cox regression analysis with full adjustment for demographic data (age, sex, income, level of urbanization), medical comorbidities (hypertension, dyslipidemia, diabetes mellitus, obesity, SUD, AUD, femoral neck fracture and smoking), exposure to corticosteroids, CCI score, and all-cause clinical visits was used to investigate the AVNHNF risk between the BD and control groups. Hazard ratios (HR) with 95% confidence intervals (CIs) were used to identify the level of risk. As AUD is a major risk factor for severe AVNHNF, subgroup-analysis stratified by AUD was also performed. Furthermore, Cox regression analyses were used to clarify the association between the frequency of psychiatric admission for BD (total, manic/mixed, and depressive episodes) and the risk of severe AVNHNF among patients with BD. Finally, we examined the association between psychotropic medications (long-term use vs. short-term use vs. non-use) and severe AVNHNF risk among patients with BD. A 2-tailed P-value of <0.05 was considered statistically significant. All data processing and statistical analyses were performed with Statistical Package for Social Science (SPSS) version 17 software (Chicago: SPSS Inc.) and Statistical Analysis Software (SAS) version 9.1 (SAS Institute, Cary, NC).

Data availability statement

The NHIRD was released and audited by the Department of Health and Bureau of the NHI Program for the purpose of scientific research (https://nhird.nhri.org.tw/). The NHIRD can be obtained via a formal application which is regulated by the Department of Health and Bureau of the NHI Program.

Results

In the current study, we recruited 84,721 patients with BD and 169,442 controls without severe mental disorders, with mean ages of 39.83 years (standard deviation (SD): 15.53) and 39.83 years (SD: 15.56), respectively. Patients with BD had a significantly higher incidence of severe AVNHNF (0.58% vs 0.21%, p<0.001), a younger age at severe AVNHNF diagnosis (45.45 vs 53.61 years, p = 0.015), and a shorter time between enrollment and diagnosis of severe AVNHNF (2.03 vs 7.24 years, p<0.001) compared with the controls. Patients with BD also had a higher proportion of long-term exposure to corticosteroids (5.9% vs 4.3%, p<0.001), higher CCI scores (1.17 vs 0.83, p<0.001), and higher annual all-cause clinical visits (13.29 vs 8.98, p<0.001) compared with the controls. The remaining variables revealed non-significant differences. Detailed data is shown in Table 1.

Table 1.

Demographic characteristics and incidence of avascular necrosis of head and neck of femur among patients with bipolar disorder and controls.

  Patients with bipolar disorder (n = 84,721)  Controls (n = 169,442)  P-value 
Age at enrollment (years, SD)  39.83 (15.53)  39.83 (15.56)  0.935 
Sex (n,%)      1.000 
Male  37,356 (44.1)  74,712 (44.1)   
Female  47.365 (55.9)  94,730 (55.9)   
Hospitalization due to bipolar disorder per year (n,%)       
< 1  80,157 (94.6)     
≥ 1  4564 (5.4)     
Atypical antipsychotics (n,%)      <0.001 
< 30 cDDD  44,510 (52.5)  167,890 (99.1)   
30–364 cDDD  21,397 (25.3)  849 (0.5)   
≥ 365 cDDD  18,814 (22.2)  703 (0.4)   
Mood stabilizers      <0.001 
< 30 cDDD  32,627 (38.5)  166,511 (98.3)   
30–364 cDDD  25,977 (30.7)  2114 (1.2)   
≥ 365 cDDD  26,117 (30.8)  817 (0.5)   
Antidepressants      <0.001 
< 30 cDDD  28,313 (33.4)  163,806 (96.7)   
30–364 cDDD  23,545 (27.8)  4348 (2.9)   
≥ 365 cDDD  32,863 (38.8)  1288 (0.8)   
Incidence of avascular necrosis of head and neck of femur (n, ‰)  49 (0.58)  35 (0.21)  <0.001 
Age at diagnosis (years, SD)  45.45 (13.13)  53.61 (17.12)  0.015 
Duration between enrollment and diagnosis (years, SD)  2.03 (1.49)  7.24 (2.89)  <0.001 
Medical comorbidities (n,%)       
Hypertension  17,644 (20.8)  35,288 (20.8)  1.000 
Dyslipidemia  12,703 (15.0)  25,406 (15.0)  1.000 
Diabetes mellitus  10,247 (12.1)  20,494 (12.1)  1.000 
Smoking  4578 (5.4)  9156 (5.4)  1.000 
Obesity  3168 (3.7)  6336 (3.7)  1.000 
Alcohol use disorder  7509 (8.9)  15,018 (8.9)  1.000 
Substance use disorder  6094 (7.2)  12,188 (7.2)  1.000 
Femoral neck fracture  375 (0.4)  750 (0.4)  0.999 
Long-term exposure to corticosteroid (n,%)  4970 (5.9)  7362 (4.3)  <0.001 
CCI score (SD)  1.17 (1.60)  0.83 (1.39)  <0.001 
Level of urbanization (n,%)      1.000 
1 (most urbanized)  19,616 (23.2)  39,232 (23.2)   
27,609 (32.6)  55,218 (32.6)   
9389 (11.1)  18,778 (11.1)   
10,433 (12.2)  20,866 (12.2)   
5 (most rural)  17,674 (20.9)  35,348 (20.9)   
Income-related insured amount      1.000 
≤ 15,840 NTD/month  42,532 (50.2)  85,064 (50.2)   
15,841∼25,000 NTD/month  26,989 (31.9)  53,978 (31.9)   
≥ 25,001 NTD/month  15,200 (17.9)  30,400 (17.9)   
All-cause clinical visits (times per year, SD)  13.29 (15.26)  8.98 (10.24)  <0.001 

SD: standard deviation; NTD: new Taiwan dollar; CCI: Charlson Comorbidity Index; cDDD: cumulative defined daily dose.

Patients with BD had higher risk of severe AVNHNF compared with the controls (1.92 HR, 95% Cl: 1.21–3.04), with adjustment for demographics, psychiatric and medical comorbidities, corticosteroid exposure, CCI score, and all-cause clinical visits (Table 2). When the severity of BD was considered (assessed by number of psychiatric hospitalizations for BD per year), patients with severe BD (≥1 hospitalization for BD per year) demonstrated a higher risk of severe AVNHNF (7.91 HR, 95% Cl: 4.32–14.49) than the controls; however, the increase in risk was not significant (1.27 HR, 95% Cl: 0.76–2.15) in patients with <1 hospitalization for BD per year (Table 2).

Table 2.

Risk of developing avascular necrosis of head and neck of femur among patients with bipolar disorder and controls, stratified by disease severity.

  Risk of avascular necrosis of head and neck of femur (HR, 95% CI)*
  Mania  Depression  Total 
Bipolar disorder       
Absence  1 (ref)  1 (ref)  1 (ref) 
Hospitalization due to bipolar disorder per year       
 < 1  1.84 (1.15–2.94)  1.61 (0.99–2.60)  1.27 (0.76–2.15) 
 ≥ 1  3.55 (1.25–10.02)  14.23 (6.51–31.11)  7.91 (4.32–14.49) 

HR: hazard ratio; CI: confidence interval.

adjusted for demographic data, medical comorbidities, corticosteroid exposure, CCI score, and all-cause clinical visits.

Bold type indicates the statistical significance.

When stratified by psychiatric hospitalization for bipolar mania and bipolar depression, patients with severe bipolar depression (≥1 hospitalization for bipolar depression per year) demonstrated a higher risk of severe AVNHNF (14.23 HR, 95% Cl: 6.51–31.11) compared with the controls, however the risk was not significantly increased (HR 1.61, 95% Cl: 0.99–2.60) in patients with <1 hospitalization for bipolar depression per year. Importantly, the risk of severe AVNHNF was significantly increased in patients with both severe bipolar mania (3.55 HR, 95% Cl: 1.25–10.02) and less severe bipolar mania (1.84 HR, 95% Cl: 1.15–2.94).

When stratified by AUD comorbidity, patients with BD and AUD demonstrated a higher risk of severe AVNHNF (2.0 HR; 95% Cl: 1.05–3.84) compared with the controls with AUD; however the risk of severe AVNHNF was not significantly increased in patients with BD without AUD, compared with the controls without both BD and AUD (1.49 HR; 95% Cl: 0.72–2.95) (Table 3). To estimate the impact of gender difference on the risk of severe AVNHNF, we found that male was associated with the elevated severe AVNHNF risk. In addition, the sex effect on severe AVNHNF risk was particularly observed among patients with alcohol use disorder (Table 3).

Table 3.

The effect of alcohol use disorder on the Risk of developing avascular necrosis of head and neck of femur.

  Risk of avascular necrosis of head and neck of femur (HR, 95% CI)*
  With alcohol use disorder  Without alcohol use disorder  Total 
Bipolar disorder       
Absence  1 (ref)  1 (ref)  1 (ref) 
Presence  2.00 (1.05–3.84)  1.49 (0.75–2.95)  1.92 (1.21–3.04) 
Sex       
Female  1 (ref)  1 (ref)  1 (ref) 
Male  2.50 (1.00–6.25)  1.73 (0.88–3.42)  1.86 (1.10–3.16) 

SHR: hazard ratio; CI: confidence interval.

adjusted for demographic data, medical comorbidities, corticosteroid exposure, CCI score, and all-cause clinical visits.

Bold type indicates the statistical significance.

Finally, we examined whether the use of psychotropic medications was associated with the risk of severe AVNHNF among patients with BD. We found that long-term users (cDDD ≥365) of atypical antipsychotics were associated with a decreased risk in severe AVNHNF (0.35 HR, 95% Cl: 0.14–0.89) compared with non-users of atypical antipsychotics (cDDD <30). However, all other associations were not statistically significant (Table 4).

Table 4.

Risk of avascular necrosis of head and neck of femur categorized by different groups of cumulative defined daily dose with psychotropic agents among patients with bipolar disorder.

  Risk of avascular necrosis of head and neck of femur (HR, 95% CI)* 
Atypical antipsychotics   
< 30 cDDD  1 (ref) 
30–364 cDDD  0.74 (0.36–1.55) 
≥ 365 cDDD  0.35 (0.14–0.89) 
Mood stabilizers   
< 30 cDDD  1 (ref) 
30–364 cDDD  1.99 (0.89–4.43) 
≥ 365 cDDD  1.58 (0.68–3.66) 
Antidepressants   
< 30 cDDD  1 (ref) 
30–364 cDDD  0.65 (0.30–1.43) 
≥ 365 cDDD  0.49 (0.23–1.05) 

HR: hazard ratio; CI: confidence interval; cDDD: cumulative defined daily dose.

adjusted for demographic data, medical comorbidities, corticosteroid exposure, CCI score, and all-cause clinical visits.

Bold type indicates the statistical significance.

Discussion

The main findings of the current study are summarized as follows: (i) patients with BD were associated with a 1.92-fold higher risk of severe AVNHNF compared with controls without severe mental disorders, after adjusting for potential confounding factors; (ii) the severity of BD and the polarity of BD may play an important role in the association between BD and the risk of severe ANVHNF. Patients with severe BD were associated with a 7.91-fold higher risk of severe AVNHNF compared with the controls, while patients with severe bipolar depression were associated with a 14.23-fold higher risk of severe AVNHNF compared with the controls; (iii) patients with severe bipolar mania were associated with a 3.55-fold higher risk of severe AVNHNF compared with the controls; (iv) the risk of severe AVNHNF was increased 2-fold in patients with both BD and AUD; and (v) patients with BD taking long-term atypical antipsychotic treatment were associated with a decreased risk of severe AVNHNF compared with those patients with BD receiving <30 cDDD atypical antipsychotics.

Several potential mechanisms could explain the increased risk of AVNHNF in patients with BD. Firstly, traumatic injury is a well-known risk factor for severe AVNHNF,38 and patients with BD have been associated with an increased incidence of accidental injury or bone fracture, which could in turn lead to AVNHNF.38 According to a recent menta-analysis, patients with BD have 1.85-fold (95% of CI: 1.17–2.94) risk of traumatic injury than control group (incidence for BD: 12∼13%; for control group: 6∼7%).38 Prior traumatic brain injury was also reported to be associated with psychiatric disorders, including depression and BD.38 A systemic review demonstrated that an increased fracture risk was observed in patients with BD, independent of demographic characteristics and medication use.39 A population-based study in Taiwan also found that BD is associated with an increased risk of fracture.40 The link between BD and traumatic injury or bone fracture is complicated and common characteristics such as hyperactivity, distractibility, impulsivity, irritable mood and risk-taking behaviors, mean patients with BD may be associated with an increased risk of accidental injury or fracture.41-44 Moreover, health-risk behaviors such as smoking and inadequate dietary intake, were commonly seen in patients with BD and may increase their risk of fracture.45,46 Secondly, the association between BD and severe AVNHNF may be mediated by medical comorbidities, such as SLE. Association between SLE and mood disorder may result from antibody mediated vascular injury in the CNS or antibody mediated neuronal damage.47,48 Regarding the association between SLE and severe AVNHNF, it may be related to the microvascular thrombosis and vasculitis induced damage in bone tissues.49 In addition, medications used for the treatment of BD can also be associated with an increased risk of fracture. For instance, a recent meta-analysis indicated that the use of antiepileptic drugs was highly associated with an increased risk of fracture, and these drugs are commonly prescribed as mood stabilizers for patients with BD.50

The current study showed that more admissions per year due to BD could act as an exacerbating risk factor for severe AVNHNF, indicating that a higher severity of BD is associated with a greater risk of severe AVNHNF. A previous study indicated that an increased previous hospitalization rate and higher severity of disease predicted a higher risk of re-admission among patients with BD.51 Moreover, physical comorbidities are associated with re-admissions due to psychiatric disorders, including BD.52 Although the association or etiologies for the impact of psychiatric admissions on the association between BD and severe AVNHNF has not been reported, we suppose that more hospitalizations for BD may be related to increased physical problems, including traumatic injury, and it may result in increased risk of severe AVNHNF. However, further research is warranted to explore the possible etiologies. More hospitalizations also indicate a higher severity of BD, where accidental injury may be associated with the characteristics of BD. Although severer bipolar depression and bipolar mania were both associated with an elevated risk of severe AVNHNF, we found a divergence in the HR between them, which was an interesting finding. We reported that the HR for bipolar depression had a higher severity of 14.23, which was even higher than the HR (3.55) for severe bipolar mania. Regarding bipolar mania, behavioral manifestations or impulsivity may expose these patients to an increased risk of physical injury, thereby increasing their risk of fracture. However, the higher HR of bipolar depression may be contributed to by other factors, such as malnutrition, lower activity, or antidepressants. Previous evidence has demonstrated that Vitamin D deficiency is linked to depressive disorders,53 and Vitamin D deficiency is also associated with osteonecrosis and osteoporosis.54,55 Since hypoactivity is characterized by the symptoms of bipolar depression,56 low levels of physical activity may increase the risk of osteoporosis and bone loss, leading to fracture.57 In addition, selective serotonin reuptake inhibitors (SSRIs), which are often prescribed during bipolar depression, are associated with an increased fracture risk.58 For instance, a meta-analysis demonstrates that patients taking SSRIs have 1.40-fold risk (95% of CI: 1.22–1.61) of any fractures than control group.59 A preclinical study has shown that SSRIs affect osteoblast formation and function.60 The above findings reveal an association between bipolar depression and poor bone health, which may result in the increased risk of severe AVNHNF. However, the definite etiology for the divergence in risk of severe AVNHNF between bipolar mania and bipolar depression remains unclear. With the multidimensional factors associated with brain metabolism, neurotransmitter, and immune function between bipolar mania and depression,61 further studies are warranted to clarify the detailed etiologies behind the divergences of risk for severe AVNHNF.

On the other hand, patients with BD were associated with a 1.92-fold higher risk of severe AVNHNF compared with the controls, and this risk was increased 2-fold in patients with BD comorbid with AUD. Importantly, the prevalence of AUD is reported as 42% among patients with BD,62 which is much higher than general population ranging from 1.4% to 8.6%.63,64 The etiologies of alcohol toxicity in the bone marrow and genetic factors of osteonecrosis are complicated.16,17,65,66 Animal studies have shown that treatment with alcohol in the bone marrow increased pressure and adipogenesis and decreased hematopoiesis, resulting in osteonecrosis of the femoral head.16,66 Biomedical studies have also reported that miRNA could be aberrantly involved in alcohol-induced osteonecrosis of the femoral head with bone or vessel gene targets, including IGF2, PDGFA, and VEGF.65 Furthermore, previous literature has reported a complex network of signals between alcohol and bone remodeling, and intercellular communication between osteoclasts and the immune system may be a potential mechanism for osteonecrosis of the femoral head.67 In addition, severe AVNHNF could be associated with traumatic injury or fracture caused by alcohol use, such as road injury, violence, self-harm, falls, and other accidents.68,69 Given the high comorbidity rate between AUD and BD,62 specific intervention and treatment for AUD may be helpful to reduce the risk of severe AVNHNF.

Finally, we determined that long-term use of atypical antipsychotics could reduce the risk of severe AVNHNF among patients with BD. According to treatment guidelines, atypical antipsychotics, such as quetiapine and aripiprazole, are the first-line treatment choice for patients with BD.70,71 However, our findings are not comparable with previous studies, which indicated a higher risk of fracture in patients receiving treatment with either typical or atypical antipsychotics.72,73 These divergences may be due to either of the following two reasons. First, previous studies focusing on the risk of fracture for antipsychotics mainly recruited patients with schizophrenia,72,73 which may have etiological differences from BD. Second, there may be undiscovered factors affecting the association between antipsychotics and fracture, given that several studies do not support this association.74,75 The authors suppose that regular treatment with atypical antipsychotics may be beneficial in controlling the symptoms of BD, such as hyperactivity and risk-taking behaviors. Therefore, it may reduce the occurrence of traumatic injury or fracture, which are associated with severe AVNHNF. However, this hypothesis deserves further investigation to clarify the complicated etiologies of the association between BD and severe AVNHNF.

The current study had several limitations. First, due to limitations of the NHIRD, interactions between BD, AUD, number of hospitalizations, use of atypical antipsychotics and subsequent AVNHNF could not be clearly identified with mediation or moderation analysis. Second, although we have adjusted for multiple factors (demographic data, medical comorbidities, corticosteroid exposure, CCI score, and all-cause clinical visits) related to the risk of severe AVNHNF, residual confounding factors may still exist in our study, such as ethnicity. However, this naturalistic observation may reflect clinical practice in the real world. Third, the limited follow-up duration may limit the interpretation of the risk of severe AVNHNF, since the period of onset of avascular necrosis is between 20 and 40 years.

Conclusions

In the present study, we determined that patients with BD are at a significant risk of subsequent severe AVNHNF. Our results extend the findings of previous studies, by demonstrating the risk of traumatic injury or fracture among patients with BD. In addition, we also found that disorder severity, mood swings, AUD, and long-term use of atypical antipsychotics had a significant impact on the association between BD and severe AVNHNF. These findings highlight the clinical implications of the effective management of BD and comorbid AUD, showing that it could help decrease the subsequent risk of severe AVNHNF among patients with BD. Patients comorbid with BD and AUD may result in poor clinical outcome, such as attempted suicide.76 With the therapeutic challenge in the treatment of BD with comorbid AUD, clinicians should carefully develop strategies in choosing proper medications.77 As the benefit of long-term use of atypical antipsychotics, our study suggests the necessity of regular treatment for patients with BD, which can be improved by enhancing medical adherence and insight. Further neuro-biological investigations are needed to better clarify the etiologies behind the association between BD and severe AVNHNF.

Role of the funding source

The study was supported by grants from Taipei Veterans General Hospital (V106B-020, V107B-010, V107C-181, V108B-012, V110C-025, V110B-002), Yen Tjing Ling Medical Foundation (CI-109-21, CI-109-22, CI-110-30) and Ministry of Science and Technology, Taiwan (107-2314-B-075-063-MY3, 108-2314-B-075-037, 110-2314-B-075-026, 110-2314-B-075-024-MY3). The funding source had no role in any process of our study.

Disclosure

The authors report no proprietary or commercial interest in any product mentioned or concept discussed in this article.

Patient consent statement

The requirement for patient consent was waived because the data used in this study were anonymized and derived wholly from a sizeable national database.

Ethical publication statement

This study protocol was reviewed and accepted by the Institutional Review Board of Taipei Veterans General Hospital (approval number: TPEVGH-IRB-2018-07-016AC). The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant national and institutional committees on human experimentation and with the Helsinki Declaration of 1975, as revised in 2000.

Acknowledgement

The authors thank Mr I-Fan Hu, MA (Courtauld Institute of Art, University of London; National Taiwan University) for his friendship and support. Mr Hu declares no conflicts of interest.

References
[1]
E.O. Johnson, K. Soultanis, P.N. Soucacos.
Vascular anatomy and microcirculation of skeletal zones vulnerable to osteonecrosis: vascularization of the femoral head.
Orthop Clin North Am, 35 (2004), pp. 285-291
[2]
S.B. Chen, Y.S. Gao, Z.H. Zhu, Jin DX, X.G. Cheng, C.Q. Zhang.
Pain relief following osteonecrosis of the femoral head treated by free vascularized fibular grafting.
Eur J Orthop Surg Traumatol, 22 (2012), pp. 689-693
[3]
T.R. Gaskill, J.R. Urbaniak, J.M. Aldridge.
Free vascularized fibular transfer for femoral head osteonecrosis: donor and graft site morbidity.
J Bone Joint Surg Am, 91 (2009), pp. 1861-1867
[4]
C.A. Ligh, J.A. Nelson, J.P. Fischer, S.J. Kovach, L.S. Levin.
The effectiveness of free vascularized fibular flaps in osteonecrosis of the femoral head and neck: a systematic review.
J Reconstr Microsurg, 33 (2017), pp. 163-172
[5]
H.J. Mankin.
Nontraumatic necrosis of bone (osteonecrosis).
The New England journal of medicine, 326 (1992), pp. 1473-1479
[6]
A. Cohen-Rosenblum, Q. Cui.
Osteonecrosis of the femoral head.
Orthop Clin North Am, 50 (2019), pp. 139-149
[7]
T.M. Large, M.R. Adams, B.J. Loeffler, M.J. Gardner.
Posttraumatic avascular necrosis after proximal femur, proximal humerus, talar neck, and scaphoid fractures.
J Am Acad Orthop Surg, 27 (2019), pp. 794-805
[8]
S.E. Grond, R.E. Little, D.A. Campbell, T.A. Loehrl, D.M. Poetker.
Oral corticosteroid use and the risk of developing avascular necrosis: a large retrospective review.
Int Forum Allergy Rhinol, (2021),
[9]
T. Nevskaya, M.P. Gamble, J.E. Pope.
A meta-analysis of avascular necrosis in systemic lupus erythematosus: prevalence and risk factors.
Clin Exp Rheumatol, 35 (2017), pp. 700-710
[10]
S.B. Chen, H. Hu, Y.S. Gao, H.Y. He, D.X. Jin, C.Q. Zhang.
Prevalence of clinical anxiety, clinical depression and associated risk factors in chinese young and middle-aged patients with osteonecrosis of the femoral head.
PLoS ONE, 10 (2015),
[11]
S.N. Hampton, P.A. Nakonezny, H.M. Richard, J.E. Wells.
Pain catastrophizing, anxiety, and depression in hip pathology.
[12]
D. He, Y. Xue, Z. Li, Y. Tang, H. Ding, Z. Yang, et al.
Effect of depression on femoral head avascular necrosis from femoral neck fracture in patients younger than 60 years.
Orthopedics, 37 (2014), pp. e244-e251
[13]
W. Fukushima, M. Fujioka, T. Kubo, A. Tamakoshi, M. Nagai, Y. Hirota.
Nationwide epidemiologic survey of idiopathic osteonecrosis of the femoral head.
Clin Orthop Relat Res, 468 (2010), pp. 2715-2724
[14]
T. Kubo, K. Ueshima, M. Saito, M. Ishida, Y. Arai, H. Fujiwara.
Clinical and basic research on steroid-induced osteonecrosis of the femoral head in Japan.
J Orthop Sci, 21 (2016), pp. 407-413
[15]
S.W. Tsai, P.K. Wu, C.F. Chen, C.C. Chiang, C.K. Huang, T.H. Chen, et al.
Etiologies and outcome of osteonecrosis of the femoral head: etiology and outcome study in a Taiwan population.
J Chin Med Assoc, 79 (2016), pp. 39-45
[16]
W. Fukushima, Y Hirota.
Alcohol.
Osteonecrosis, pp. 95-99
[17]
K.N. Shah, J. Racine, L.C. Jones, R.K. Aaron.
Pathophysiology and risk factors for osteonecrosis.
Curr Rev Musculoskelet Med, 8 (2015), pp. 201-209
[18]
A.S. Clemente, B.S. Diniz, R. Nicolato, F.P. Kapczinski, J.C. Soares, J.O. Firmo, et al.
Bipolar disorder prevalence: a systematic review and meta-analysis of the literature.
Braz J Psychiatry, 37 (2015), pp. 155-161
[19]
R.M. Hirschfeld, L. Lewis, L.A. Vornik.
Perceptions and impact of bipolar disorder: how far have we really come? Results of the national depressive and manic-depressive association 2000 survey of individuals with bipolar disorder.
J Clin Psychiatry, 64 (2003), pp. 161-174
[20]
L.N. Yatham, Y. Lecrubier, R.R. Fieve, K.H. Davis, S.D. Harris, A.A. Krishnan.
Quality of life in patients with bipolar I depression: data from 920 patients.
Bipolar Disord, 6 (2004), pp. 379-385
[21]
S. Tiosano, Z. Nir, O. Gendelman, D. Comaneshter, H. Amital, A.D. Cohen, et al.
The association between systemic lupus erythematosus and bipolar disorder - a big data analysis.
Eur Psychiatry, 43 (2017), pp. 116-119
[22]
W. de Sousa Gurgel, A.H. da Silva Carneiro, D. Barreto Reboucas, K.J. Negreiros de Matos, T. do Menino Jesus Silva Leitao, F.G. de Matos e Souza, et al.
Prevalence of bipolar disorder in a HIV-infected outpatient population.
AIDS Care, 25 (2013), pp. 1499-1503
[23]
M. Savas, C.H. Vinkers, J.G.M. Rosmalen, C.A. Hartman, V.L. Wester, E.L.T. van den Akker, et al.
Systemic and local corticosteroid use is associated with reduced executive cognition, and mood and anxiety disorders.
Neuroendocrinology, 110 (2020), pp. 282-291
[24]
H.A. Kenna, A.W. Poon, C.P. de los Angeles, L.M. Koran.
Psychiatric complications of treatment with corticosteroids: review with case report.
Psychiatry Clin Neurosci, 65 (2011), pp. 549-560
[25]
C. Pomara, M. Neri, S. Bello, C. Fiore, I. Riezzo, E. Turillazzi.
Neurotoxicity by synthetic androgen steroids: oxidative stress, apoptosis, and neuropathology: a review.
Curr Neuropharmacol, 13 (2015), pp. 132-145
[26]
C.L. Wellman.
Dendritic reorganization in pyramidal neurons in medial prefrontal cortex after chronic corticosterone administration.
J Neurobiol, 49 (2001), pp. 245-253
[27]
X.J. Chai, S. Whitfield-Gabrieli, A.K. Shinn, J.D. Gabrieli, A. Nieto Castanon, J.M. McCarthy, et al.
Abnormal medial prefrontal cortex resting-state connectivity in bipolar disorder and schizophrenia.
Neuropsychopharmacology, 36 (2011), pp. 2009-2017
[28]
A. Di Florio, N. Craddock, M. van den Bree.
Alcohol misuse in bipolar disorder. A systematic review and meta-analysis of comorbidity rates.
Eur Psychiatry, 29 (2014), pp. 117-124
[29]
J.-S. Huang, F.-C. Yang, W.-C. Chien, T.-C. Yeh, C.-H. Chung, C.-K. Tsai, et al.
Risk of Substance Use Disorder and Its Associations With Comorbidities and Psychotropic Agents in Patients With Autism.
JAMA Pediatr, (2021),
[30]
C.-S. Chu, W.-R. Li, K.-L. Huang, P.-Y. Su, C.-H. Lin, T.-H. Lan.
The use of antipsychotics is associated with lower mortality in patients with Alzheimer's disease: a nationwide population-based nested case-control study in Taiwan.
J Psychopharmacol, 32 (2018), pp. 1182-1190
[31]
M.H. Chen, J.W. Hsu, K.L. Huang, Y.M. Bai, N.Y. Ko, T.P. Su, et al.
Sexually transmitted infection among adolescents and young adults with attention-deficit/hyperactivity disorder: a nationwide longitudinal study.
J Am Acad Child Adolesc Psychiatry, 57 (2018), pp. 48-53
[32]
M.H. Chen, J.W. Hsu, K.L. Huang, T.P. Su, C.T. Li, W.C. Lin, et al.
Risk and coaggregation of major psychiatric disorders among first-degree relatives of patients with bipolar disorder: a nationwide population-based study.
Psychol Med, (2018), pp. 1-8
[33]
M.H. Chen, W.H. Lan, J.W. Hsu, K.L. Huang, T.P. Su, C.T. Li, et al.
Risk of developing type 2 diabetes in adolescents and young adults with autism spectrum disorder: a nationwide longitudinal study.
Diabetes Care, 39 (2016), pp. 788-793
[34]
B. Zhang, H.E. Wang, Y.M. Bai, S.J. Tsai, T.P. Su, T.J. Chen, et al.
Inflammatory bowel disease is associated with higher dementia risk: a nationwide longitudinal study.
[35]
C.Y. Liu, Y.T. Hung, Y.L. Chuang, Y.J. Chen, W.S. Weng, J.S. Liu.
Incorporating development stratification of Taiwan townships into sampling design of large scale health interview survey.
J Health Management (Chin), 4 (2006), pp. 1-22
[36]
S. Moghadam-Kia, V.P. Werth.
Prevention and treatment of systemic glucocorticoid side effects.
Int J Dermatol, 49 (2010), pp. 239-248
[37]
M.E. Charlson, P. Pompei, K.L. Ales, C.R. MacKenzie.
A new method of classifying prognostic comorbidity in longitudinal studies: development and validation.
J Chronic Dis, 40 (1987), pp. 373-383
[38]
D.C. Perry, V.E. Sturm, M.J. Peterson, C.F. Pieper, T. Bullock, B.F. Boeve, et al.
Association of traumatic brain injury with subsequent neurological and psychiatric disease: a meta-analysis.
J Neurosurg, 124 (2016), pp. 511-526
[39]
V. Chandrasekaran, S.L. Brennan-Olsen, A.L. Stuart, J.A. Pasco, M. Berk, J.M. Hodge, et al.
Bipolar disorder and bone health: a systematic review.
J Affect Disord, 249 (2019), pp. 262-269
[40]
J.A. Su, B.H. Cheng, Y.C. Huang, C.P. Lee, Y.H. Yang, M.L. Lu, et al.
Bipolar disorder and the risk of fracture: a nationwide population-based cohort study.
J Affect Disord, 218 (2017), pp. 246-252
[41]
S.L Dubovsky.
Mania.
Continuum (Minneap Minn), 21 (2015), pp. 737-755
[42]
M.H. Hsieh, C.H. Tang, S.T. Hung, I.H. Lee, Y.J. Lin, Y.K. Yang.
Comorbid prevalence of alcohol dependence, substance abuse, and external cause of injury in patients with bipolar disorder in a nationwide representative sample in Taiwan.
Bipolar Disord, 14 (2012), pp. 677-679
[43]
L. Mason, N. O'Sullivan, D. Montaldi, R.P. Bentall, W. El-Deredy.
Decision-making and trait impulsivity in bipolar disorder are associated with reduced prefrontal regulation of striatal reward valuation.
Brain, 137 (2014), pp. 2346-2355
[44]
J. Volavka.
Violence in schizophrenia and bipolar disorder.
Psychiatr Danub, 25 (2013), pp. 24-33
[45]
H.T. Chuang, C. Mansell, S.B. Patten.
Lifestyle characteristics of psychiatric outpatients.
Can J Psychiatry, 53 (2008), pp. 260-266
[46]
R. Kilian, T. Becker, K. Kruger, S. Schmid, K. Frasch.
Health behavior in psychiatric in-patients compared with a German general population sample.
Acta Psychiatr Scand, 114 (2006), pp. 242-248
[47]
A.O. Alao, S. Chlebowski, C. Chung.
Neuropsychiatric systemic lupus erythematosus presenting as bipolar I disorder with catatonic features.
Psychosomatics, 50 (2009), pp. 543-547
[48]
G. Yaniv, G. Twig, D.B. Shor, A. Furer, Y. Sherer, O. Mozes, et al.
A volcanic explosion of autoantibodies in systemic lupus erythematosus: a diversity of 180 different antibodies found in SLE patients.
Autoimmun Rev, 14 (2015), pp. 75-79
[49]
N. Danchenko, J.A. Satia, M.S. Anthony.
Epidemiology of systemic lupus erythematosus: a comparison of worldwide disease burden.
[50]
C. Shen, F. Chen, Y. Zhang, Y. Guo, M. Ding.
Association between use of antiepileptic drugs and fracture risk: a systematic review and meta-analysis.
[51]
D.J. Li, C.H. Lin, H.C. Wu.
Factors predicting re-hospitalization for inpatients with bipolar mania–a naturalistic cohort.
Psychiatry Res, 270 (2018), pp. 749-754
[52]
L. Sprah, M.Z. Dernovsek, K. Wahlbeck, P. Haaramo.
Psychiatric readmissions and their association with physical comorbidity: a systematic literature review.
BMC Psychiatry, 17 (2017), pp. 2
[53]
Y. Milaneschi, W. Hoogendijk, P. Lips, A.C. Heijboer, R. Schoevers, A.M. van Hemert, et al.
The association between low vitamin D and depressive disorders.
Mol Psychiatry, 19 (2014), pp. 444-451
[54]
J. Botelho, V. Machado, L. Proenca, A.S. Delgado, J.J. Mendes.
Vitamin D deficiency and oral health: a comprehensive review.
Nutrients, 12 (2020),
[55]
P. Lips, N.M. van Schoor.
The effect of vitamin D on bone and osteoporosis.
Best Pract Res Clin Endocrinol Metab, 25 (2011), pp. 585-591
[56]
American Psychiatric Association.
American psychiatric association. DSM-5 task force.
Diagnostic and Statistical Manual of Mental Disorders: DSM-5, 5th ed., American Psychiatric Association, (2013),
[57]
N.E. Lane.
Epidemiology, etiology, and diagnosis of osteoporosis.
Am J Obstet Gynecol, 194 (2006), pp. S3-11
[58]
R. Rizzoli, C. Cooper, J.Y. Reginster, B. Abrahamsen, J.D. Adachi, M.L. Brandi, et al.
Antidepressant medications and osteoporosis.
[59]
Q. Wu, A.F. Bencaz, J.G. Hentz, M.D. Crowell.
Selective serotonin reuptake inhibitor treatment and risk of fractures: a meta-analysis of cohort and case-control studies.
Osteoporos Int, 23 (2012), pp. 365-375
[60]
J.M. Hodge, Y. Wang, M. Berk, F.M. Collier, T.J. Fernandes, M.J. Constable, et al.
Selective serotonin reuptake inhibitors inhibit human osteoclast and osteoblast formation and function.
Biol Psychiatry, 74 (2013), pp. 32-39
[61]
V. Maletic, C. Raison.
Integrated neurobiology of bipolar disorder.
Front Psychiatry, 5 (2014), pp. 98
[62]
G.E. Hunt, G.S. Malhi, M. Cleary, H.M. Lai, T. Sitharthan.
Prevalence of comorbid bipolar and substance use disorders in clinical settings, 1990-2015: systematic review and meta-analysis.
J Affect Disord, 206 (2016), pp. 331-349
[63]
H.G. Cheng, F. Deng, W. Xiong, M.R. Phillips.
Prevalence of alcohol use disorders in mainland China: a systematic review.
Addiction, 110 (2015), pp. 761-774
[64]
M.D. Glantz, C. Bharat, L. Degenhardt, N.A. Sampson, K.M. Scott, C.C.W. Lim, et al.
The epidemiology of alcohol use disorders cross-nationally: findings from the World Mental Health Surveys.
Addict Behav, 102 (2020),
[65]
G. Hong, X. Han, W. He, J. Xu, P. Sun, Y. Shen, et al.
Analysis of circulating microRNAs aberrantly expressed in alcohol-induced osteonecrosis of femoral head.
[66]
Y. Wang, Y. Li, K. Mao, J. Li, Q. Cui, G.J. Wang.
Alcohol-induced adipogenesis in bone and marrow: a possible mechanism for osteonecrosis.
Clin Orthop Relat Res, (2003), pp. 213-224
[67]
X. Wang, X. Chen, L. Lu, X. Yu.
Alcoholism and osteoimmunology.
Curr Med Chem, 28 (2021), pp. 1815-1828
[68]
T. Chikritzhs, M. Livingston.
Alcohol and the risk of injury.
Nutrients, 13 (2021),
[69]
K.M. Keyes, X.C. Liu, M. Cerda.
The role of race/ethnicity in alcohol-attributable injury in the United States.
Epidemiol Rev, 34 (2012), pp. 89-102
[70]
K.N. Fountoulakis, L.N. Yatham, H. Grunze, E. Vieta, A.H. Young, P. Blier, et al.
The CINP guidelines on the definition and evidence-based interventions for treatment-resistant bipolar disorder.
Int J Neuropsychopharmacol, 23 (2020), pp. 230-256
[71]
L.N. Yatham, S.H. Kennedy, S.V. Parikh, A. Schaffer, D.J. Bond, B.N. Frey, et al.
Canadian Network for Mood and Anxiety Treatments (CANMAT) and International Society for Bipolar Disorders (ISBD) 2018 guidelines for the management of patients with bipolar disorder.
Bipolar Disord, 20 (2018), pp. 97-170
[72]
S.H. Lee, W.T. Hsu, C.C. Lai, A. Esmaily-Fard, Y.W. Tsai, C.C. Chiu, et al.
Use of antipsychotics increases the risk of fracture: a systematic review and meta-analysis.
Osteoporos Int, 28 (2017), pp. 1167-1178
[73]
L. Howard, G. Kirkwood, M. Leese.
Risk of hip fracture in patients with a history of schizophrenia.
Br J Psychiatry, 190 (2007), pp. 129-134
[74]
J.M. Bolton, C. Metge, L. Lix, H. Prior, J. Sareen, W.D. Leslie.
Fracture risk from psychotropic medications: a population-based analysis.
J Clin Psychopharmacol, 28 (2008), pp. 384-391
[75]
S. Chatterjee, H. Chen, M.L. Johnson, R.R. Aparasu.
Risk of falls and fractures in older adults using atypical antipsychotic agents: a propensity score-adjusted, retrospective cohort study.
Am J Geriatr Pharmacother, 10 (2012), pp. 83-94
[76]
J.B. Potash, H.S. Kane, Y.F. Chiu, S.G. Simpson, D.F. MacKinnon, M.G. McInnis, et al.
Attempted suicide and alcoholism in bipolar disorder: clinical and familial relationships.
Am J Psychiatry, 157 (2000), pp. 2048-2050
[77]
M.A. Frye, I.M. Salloum.
Bipolar disorder and comorbid alcoholism: prevalence rate and treatment considerations.
Bipolar Disord, 8 (2006), pp. 677-685

Contributed equally to this article as corresponding authors.

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