Literature DB >> 32605410

Epidemiology of fatal/non-fatal suicide among patients with chronic osteomyelitis (COM): a nationwide population-based study.

Chih-Hung Hung1, Jih-Yang Ko2,3, Pei-Shao Liao4, Chen-Wei Yeh4, Chieh-Cheng Hsu2, Mei-Chen Lin5,6, Horng-Chaung Hsu1,6, Shu-Jui Kuo1,6.   

Abstract

OBJECTIVE: Chronic osteomyelitis (COM) can induce systemic inflammation, and systemic inflammation may be associated with suicide tendency. However, no studies have investigated the correlation between COM and suicide tendency.
METHODS: The aim of this population-based study was to determine the epidemiology of fatal/non-fatal suicide among COM patients. Subjects with at least two outpatient visits or one course of inpatient care diagnosed with COM were recruited into a COM cohort. The control/COM subject ratio was approximately 4:1 matched by age, sex, major depression coding and index year (COM patients). Subjects with suicide attempts before COM diagnosis and subjects aged <20 years were excluded.
RESULTS: COM patients had 1.93 (95% confidence interval [CI]: 1.11-3.36) times the risk of fatal/non-fatal suicide as control subjects. Considering death as the competing event of fatal/non-fatal suicide, COM patients had 1.76 (95% CI: 1.03-3.01) times the risk of fatal/non-fatal suicide (competing risk regression model). The effect of COM on fatal/non-fatal suicide was more prominent among diabetic patients. COM severity also correlated with the risk of fatal/non-fatal suicide.
CONCLUSIONS: More attention must be paid to suicide tendency among COM patients.

Entities:  

Keywords:  Chronic osteomyelitis; depression; diabetes; schizophrenia; suicide; systemic inflammation

Mesh:

Year:  2020        PMID: 32605410      PMCID: PMC7331771          DOI: 10.1177/0300060520919238

Source DB:  PubMed          Journal:  J Int Med Res        ISSN: 0300-0605            Impact factor:   1.671


Introduction

Osteomyelitis is a bone infection that can arise from contiguous spread, penetrating injury or hematogenous seeding.[1] The disease frequently becomes a chronic infection after the acute stage owing to inadequate treatment or relapse.[2] Chronic osteomyelitis (COM) can last for weeks, months, years or even be permanent, and involves pathological processes that induce intense inflammation in the foci because of the formation of abscesses, bone debris and sinus tracts.[3] Patients with COM are usually male and most are older.[4,5] COM can lead to chronic systemic inflammation, which is associated with multisystem disorders, including coronary artery disease, stroke, and head and neck cancer.[6-8] Suicide attempt is defined as an intentional act of taking one’s life by engaging in self-directed injurious behaviors.[9,10] Suicide is the 10th leading cause of death in the United States, and its incidence has grown over the past 15 years.[11] The World Health Organization has predicted that there will be almost 1 million suicide deaths by 2030, contributing to a projected 1.4% of all deaths worldwide.[9] A previous study has suggested a correlation between neuroinflammation, as assessed by microglia activity in the brain, and suicidal ideation.[12] In one prospective study, subjects with higher levels of serum C-reactive protein had a higher risk of suicide death after 9 years of follow-up.[13] Despite that COM can lead to chronic systemic inflammation, and systemic inflammation is associated with suicide tendency, no studies have examined the correlation between COM and suicide tendency. We thus performed a nationwide population-based study to determine the epidemiology of health care service use for suicide, including suicide attempt or suicide death, among COM patients. Suicide deaths/attempts are here expressed as fatal/non-fatal suicide throughout.

Materials and methods

Data source

Since 1995, the Taiwanese government has been developing the National Health Insurance Research Database (NHIRD). The database includes data for more than 99% of Taiwanese citizens and their medical records. The Longitudinal Health Insurance Database (LHID), which randomly selects 1 million subjects from the NHIRD, was used in this study. To protect the privacy of the beneficiaries, original identification numbers were encrypted before the data were released. The ICD-9-CM (International Classification of Diseases, 9th Revision, Clinical Modification) system was used for disease coding in the NHIRD and LHID. The research ethics committee of China Medical University Hospital in Taiwan approved the study (CMUH-104-REC2-115-R3).[14] The committee confirmed that informed consent was not required, as the identity of the participants could not be determined. All the data analyzed were encrypted in terms of participant identity when released from the NHIRD.

Study population

We used a population-based cohort study to determine the epidemiology of fatal/non-fatal suicide, including suicide attempt or suicide death, among COM patients. Subjects with at least two outpatient visits or one course of inpatient care (or both) diagnosed with COM (ICD-9-CM: 730.1–730.9, 909.3) from January 2000 to December 2012 were recruited into a COM cohort. The index date was defined as the date when the COM diagnosis was initially coded. The control/COM subject ratio was approximately 4:1 matched by age, sex, a coding of major depression and index year (COM patients). Subjects with a history of at least two outpatient visits or one course of inpatient care with a coding of major depression (ICD-9-CM: 296.2, 296.3, 296.82, 300.4, 309.0, 309.1, 309.28, 311) before the index date were diagnosed with major depression. Subjects with previous suicide coding (ICD-9-CM: E950–E959) and subjects <20 years old before the index date were excluded. All subjects were followed up from the index date until the date of initial suicide coding (ICD-9-CM: E950–E959), until they were withdrawn from the database or until 31 December 2013. Suicide death, or fatal suicide, was defined as death within 30 days of the suicide-coded (ICD-9-CM: E950–E959) date. Suicide attempt, or non-fatal suicide, was defined as the absence of death within 30 days of suicide coding (ICD-9-CM: E950–E959). Fatal/non-fatal suicides, including suicide attempts or suicide deaths, were defined as events in a Cox regression model. The mean (±standard deviation) follow-up period was 6.3 ± 4.1 years. The baseline comorbidities analyzed in our model were hypertension (ICD-9-CM: 401–405), diabetes (ICD-9-CM: 250), epilepsy (ICD-9-CM: 345), ischemic heart disease (ICD-9-CM: 410–414), chronic obstructive pulmonary disease (ICD-9-CM: 491, 492, 493, 496), stroke (ICD-9-CM: 430–438), liver cirrhosis (ICD-9-CM: 571.2, 571.5), osteoporosis (ICD-9-CM: 733), end-stage renal disease (ICD-9-CM: 585), bipolar disorders (ICD-9-CM: 296.0, 296.1, 296.4, 296.5, 296.6, 296.7, 296.8, 296.80 and 296.89) and schizophrenia (ICD-9-CM: 295 and A211). Subjects with at least two outpatient visits or one course of inpatient care under the aforementioned coding before the index date were diagnosed with the specific comorbidity.

Statistical analysis

We described the sex, age group, level of urbanization and comorbidities in both cohorts using number of subjects and percentages. The mean age was expressed as mean ± standard deviation. Chi-square tests and t-tests were used to estimate differences in categorical and continuous variables between the two cohorts. To estimate the risk of fatal/non-fatal suicide in the COM cohort relative to the comparison cohort, hazard ratios (HR) and adjusted hazard ratios (aHR) were calculated using crude and adjusted Cox proportional hazard models, respectively. The incidence density of fatal/non-fatal suicide was expressed as event number per 100,000 person-years. The Kaplan–Meier method was used to determine the cumulative incidence of fatal/non-fatal suicide, and the log-rank test was used to determine the significance of between-group differences. SAS 9.4 software (SAS Institute Inc., Cary, NC, USA) was used for data analysis and R software (www.r-project.org) was used to plot the incidence curves.[14]

Results

There were 5,762 patients in the COM cohort and 23,039 subjects in the control cohort (Table 1). The study design and the flow diagram of the recruitment process are shown in Figure 1. Sex and age were homogenous between the two groups. The urbanization level was substantially different between the two cohorts, and COM patients had significantly more baseline comorbidities (all P values < 0.001) except depression and bipolar disorder (Table 1).
Table 1.

Demographic characteristics and baseline comorbidities of the chronic osteomyelitis and control cohorts.

CharacteristicsTotal
Chronic osteomyelitis
P-value
No N = 23,039Yes N = 5,762
Sex0.99
 Female12,2449,795 (42.5)2,449 (42.5)
 Male16,55713,244 (57.5)3,313 (57.5)
Age (years)1.00
 <456,6755,340 (23.2)1,335 (23.2)
 45–6411,2959,036 (39.2)2,259 (39.2)
 ≥6510,8318,663 (37.6)2,168 (37.6)
Mean ± SDa57.97 ± 16.8558.05 ± 16.88
Urbanization level[]<0.001
 1 (highest)8,1576,854 (29.8)1,303 (22.6)
 28,3376,668 (29)1,669 (29)
 34,7893,822 (16.6)967 (16.8)
 47,4795,664 (24.6)1,815 (31.5)
Baseline comorbidity
 Depression2,8142,250 (9.8)564 (9.8)0.96
 Hypertension12,8499,795 (42.5)3,054 (53)<0.001
 Diabetes6,8274,807 (20.9)2,020 (35.1)<0.001
 Epilepsy458303 (1.3)155 (2.7)<0.001
 IHD7,4735,636 (24.5)1,837 (31.9)<0.001
 COPD7,1015,439 (23.6)1,662 (28.8)<0.001
 Stroke5,5334,066 (17.6)1,467 (25.5)<0.001
 Liver cirrhosis715431 (1.9)284 (4.9)<0.001
 Osteoporosis4,1302,762 (12)1,368 (23.7)<0.001
 ESRD328141 (0.6)187 (3.2)<0.001
 Bipolar disorder225179 (0.8)46 (0.8)0.87
 Schizophrenia317225 (1.0)92 (1.6)<0.001

IHD: ischemic heart disease; COPD: chronic obstructive pulmonary disease; ESRD: end-stage renal disease; SD: standard deviation.

Chi-square test, at-test. Data are N (%) unless otherwise stated.

†Urbanization level was obtained by classifying the population density of the residential area in terms of four levels (level 1 = highest urbanization; level 4 = lowest urbanization).

Figure 1.

Flow diagram of the recruitment process.

LHID: Longitudinal Health Insurance Database.

Demographic characteristics and baseline comorbidities of the chronic osteomyelitis and control cohorts. IHD: ischemic heart disease; COPD: chronic obstructive pulmonary disease; ESRD: end-stage renal disease; SD: standard deviation. Chi-square test, at-test. Data are N (%) unless otherwise stated. †Urbanization level was obtained by classifying the population density of the residential area in terms of four levels (level 1 = highest urbanization; level 4 = lowest urbanization). Flow diagram of the recruitment process. LHID: Longitudinal Health Insurance Database. The incidence of fatal/non-fatal suicide in the COM group and the control group was 55.30 and 24.68 per 100,000 person-years, respectively. COM patients had 1.93 times the risk of fatal/non-fatal suicide (aHR = 1.93, 95% confidence interval [CI]: 1.11–3.36; P = 0.02) than control subjects (Table 2). Considering death as the competing event for fatal/non-fatal suicide, COM patients had 1.76 times the risk of fatal/non-fatal suicide (aHR = 1.76, 95% CI: 1.03–3.01; P = 0.04) than control subjects in the competing risks regression model (Table 3). The cumulative incidence of fatal/non-fatal suicide was higher in the COM group than in the control group (P = 0.003 for log-rank test) (Figure 2). Other risk factors for fatal/non-fatal suicide were urbanization level, depression (aHR =3.82, 95% CI: 2.06–7.07; P < 0.001), IHD (aHR = 2.25, 95% CI: 1.17–4.34; P =0.02), liver cirrhosis (aHR = 3.12, 95% CI: 1.19–8.16; P = 0.02) and bipolar disorder (aHR = 3.29, 95% CI: 1.09–9.94; P = 0.03) (Table 2). The effect of COM on the increased risk of fatal/non-fatal suicide was more prominent among diabetic patients (aHR = 3.79, 95% CI: 1.42–10.16; P < 0.01) (Table 4).
Table 2.

Incidence of fatal/non-fatal suicide stratified by presence of chronic osteomyelitis, sex, age, urbanization and baseline comorbidities.

CharacteristicsEPYIR
Crude

Adjusted[#]
(n = 60)HR (95% CI)P-valueHR (95% CI)P-value
COM
 No4016,207424.68Ref.Ref.
 Yes203,616955.302.23 (1.30–3.82)0.0031.93 (1.11–3.36)0.02
Sex
 Female258,550829.24Ref.Ref.
 Male3511,273531.051.06 (0.63–1.76)0.841.09 (0.64–1.87)0.75
Age at baseline (years)
 <451853,94733.37Ref.Ref.
 45–642181,88425.650.76 (0.40–1.42)0.390.61 (0.31–1.20)0.15
 ≥652162,41233.650.96 (0.51–1.81)0.910.57 (0.25–1.30)0.18
Urbanization
 1 (highest)1156,26119.55Ref.Ref.
 21257,94120.711.06 (0.47–2.40)0.891.01 (0.44–2.29)0.98
 31033,52629.831.53 (0.65–3.60)0.331.48 (0.63–3.50)0.37
 42750,27553.702.74 (1.36–5.52)0.0052.47 (1.22–5.03)0.01
Comorbidities
 Depression1915,431123.135.29 (3.06–9.13)<0.0013.82 (2.06–7.07)<0.001
 Hypertension2777,01335.061.25 (0.75–2.08)0.400.66 (0.33–1.31)0.23
 Diabetes1838,91146.261.70 (0.98–2.96)0.061.21 (0.64–2.28)0.56
 Epilepsy22,41782.752.69 (0.66–11.04)0.170.97 (0.22–4.24)0.97
 IHD2543,75457.142.46 (1.47–4.11)<0.0012.25 (1.17–4.34)0.02
 COPD1940,26847.181.74 (1.01–3.01)0.051.28 (0.69–2.35)0.43
 Stroke1830,39859.212.30 (1.32–3.99)0.0031.52 (0.78–2.99)0.22
 Liver cirrhosis53,239154.395.24 (2.09–13.13)<0.0013.12 (1.19–8.16)0.02
 Osteoporosis823,78933.631.09 (0.52–2.30)0.820.64 (0.29–1.44)0.28
 ESRD192.602.91 (0.40–21.05)0.291.62 (0.21–12.22)0.64
 Bipolar disorder41,256318.4610.82 (3.92–29.84)<0.0013.29 (1.09–9.94)0.03
 Schizophrenia21,836108.943.59 (0.88–14.69)0.081.20 (0.27–5.22)0.81

E: number of suicide attempts or suicide deaths; PY: person-years; IR: incidence rate per 100,000 person-years; HR: hazard ratio; CI: confidence interval; IHD: ischemic heart disease; COPD: chronic obstructive pulmonary disease; ESRD: end-stage renal disease; COM: chronic osteomyelitis.

#Adjusted for sex, age, urbanization and all comorbidities.

Table 3.

Subhazard ratios for fatal/non-fatal suicide estimated using a competing risks regression model.

Variable
Chronic osteomyelitis
P-value
NoYes
Suicide
Crude SHR (95% CI)1.00 (Ref.)2.14 (1.25–3.64)0.005**
Adjusted SHR (95% CI)1.00 (Ref.)1.76 (1.03–3.01)0.040*

Crude SHR: relative subhazard ratio; CI: confidence interval.

Adjusted SHR†: multivariable analysis including all factors in the univariable Cox model.

*P < 0.05; **P < 0.01; ***P < 0.001.

Figure 2.

Incidence of suicide attempts and suicide deaths among chronic osteomyelitis (COM) and control cohorts. The dashed line indicates the COM cohort and the solid line indicates the matched control cohort. The log-rank test was used to assess the significance of the difference between the curves (P = 0.003).

Table 4.

Crude and adjusted hazard ratios for fatal/non-fatal suicide stratified by sex, age, urbanization and baseline comorbidities.

Variables
Control group

COM group

COM group vs. control group

n = 23039

n = 5762
Crude HR[#]Adjusted HR
EPYsIREPYsIR(95% CI)(95% CI)
Overall40162,07424.682036,16955.302.23 (1.30–3.82)**1.93 (1.11–3.36)*
 Suicide attempt35162,07421.601636,16944.242.04 (1.13–3.68)*1.58 (0.86–2.92)
 Suicide death5162,0743.09436,16911.063.62 (0.97–13.48)3.72 (0.95–14.58)
Sex
 Female1769,52824.45815,98050.062.05 (0.88–4.75)1.56 (0.66–3.73)
 Male2392,54624.851220,18959.442.37 (1.18–4.76)*2.02 (0.98–4.18)
Age (years)
 <451243,48427.60610,46357.342.07 (0.78–5.52)1.60 (0.54–4.69)
 45–641366,89619.43814,98853.382.73 (1.13–6.6)*2.04 (0.79–5.21)
 ≥651551,69429.02610,71855.981.92 (0.75–4.96)1.88 (0.72–4.92)
Urbanization
 1 (highest)748,48214.4447,77951.423.51 (1.03–12.01)*2.47 (0.70–8.71)
 2647,28312.69610,65756.304.39 (1.42–13.62)*3.07 (0.87–10.74)
 3627,09222.1546,43362.182.82 (0.8–10.00)2.69 (0.69–10.54)
 42139,00353.84611,27253.230.99 (0.40–2.45)1.02 (0.41–2.59)
Comorbidities
 Depression1312,677102.5462,754217.892.13 (0.81–5.61)2.25 (0.86–6.15)
 Hypertension1760,81227.951016,20161.722.21 (1.01–4.82)*1.89 (0.84–4.26)
 Diabetes728,79324.311110,118108.714.31 (1.67–11.11)**3.79 (1.42–10.16)**
 Epilepsy117,03.358.711714140.107.6 (0.14–422.92)
 IHD1934,44455.1669,31064.451.17 (0.47–2.92)1.11 (0.43–2.87)
 COPD1331,87640.7868,39171.501.73 (0.66–4.56)1.58 (0.57–4.38)
 Stroke1423,34559.9747,05456.710.95 (0.31–2.89)0.90 (0.29–2.84)
 Liver cirrhosis121,04.847.5141,134352.816.89 (0.77–61.69)17.46 (1.27–240.21)*
 Osteoporosis416,27024.5847,51953.202.11 (0.53–8.44)1.14 (0.25–5.22)
 ESRD0569,270.001511195.85
 Bipolar disorder397,7.92306.771278359.561.28 (0.13–12.32)0.99 (0.04–24.16)
 Schizophrenia213,23.1151.1705130.00

E: number of suicide attempts or suicide deaths; PY: person-years; IR: incidence rate per 100,000 person-years; HR: hazard ratio; CI: confidence interval; IHD: ischemic heart disease; COPD: chronic obstructive pulmonary disease; ESRD: end-stage renal disease; COM: chronic osteomyelitis.

#Adjusted for sex, age, urbanization and all comorbidities in the Cox proportional hazards regression model.

*P < 0.05; **P < 0.01; ***P < 0.001.

Incidence of fatal/non-fatal suicide stratified by presence of chronic osteomyelitis, sex, age, urbanization and baseline comorbidities. E: number of suicide attempts or suicide deaths; PY: person-years; IR: incidence rate per 100,000 person-years; HR: hazard ratio; CI: confidence interval; IHD: ischemic heart disease; COPD: chronic obstructive pulmonary disease; ESRD: end-stage renal disease; COM: chronic osteomyelitis. #Adjusted for sex, age, urbanization and all comorbidities. Subhazard ratios for fatal/non-fatal suicide estimated using a competing risks regression model. Crude SHR: relative subhazard ratio; CI: confidence interval. Adjusted SHR†: multivariable analysis including all factors in the univariable Cox model. *P < 0.05; **P < 0.01; ***P < 0.001. Incidence of suicide attempts and suicide deaths among chronic osteomyelitis (COM) and control cohorts. The dashed line indicates the COM cohort and the solid line indicates the matched control cohort. The log-rank test was used to assess the significance of the difference between the curves (P = 0.003). Crude and adjusted hazard ratios for fatal/non-fatal suicide stratified by sex, age, urbanization and baseline comorbidities. E: number of suicide attempts or suicide deaths; PY: person-years; IR: incidence rate per 100,000 person-years; HR: hazard ratio; CI: confidence interval; IHD: ischemic heart disease; COPD: chronic obstructive pulmonary disease; ESRD: end-stage renal disease; COM: chronic osteomyelitis. #Adjusted for sex, age, urbanization and all comorbidities in the Cox proportional hazards regression model. *P < 0.05; **P < 0.01; ***P < 0.001. Compared with the control cohort, we observed a severity-dependent risk of fatal/non-fatal suicide associated with COM after controlling for age, sex, urbanization level and medical comorbidities (outpatients only: aHR = 1.81, 95% CI: 1.02–3.22; outpatients and inpatients: aHR = 4.79; 95% CI: 1.08–21.34; P for trend = 0.0006) (Table 5).
Table 5.

Incidence rate and adjusted hazard ratios for fatal/non-fatal suicide stratified by chronic osteomyelitis severity.

COM severityEventPYIRAdjusted HR (95% CI)
Control group40162,07424.68Ref.
Outpatients only1835,54150.651.81 (1.02–3.22)*
Outpatients and inpatients2628318.324.79 (1.08–21.34)*
P for trendP = 0.0006

PY: person-years; IR: incidence rate per 100,000 person-years; HR: hazard ratio; CI: confidence interval; COM: chronic osteomyelitis.

Models adjusted by demographic factors and comorbidities.

*P < 0.05; **P < 0.01; ***P < 0.001.

Incidence rate and adjusted hazard ratios for fatal/non-fatal suicide stratified by chronic osteomyelitis severity. PY: person-years; IR: incidence rate per 100,000 person-years; HR: hazard ratio; CI: confidence interval; COM: chronic osteomyelitis. Models adjusted by demographic factors and comorbidities. *P < 0.05; **P < 0.01; ***P < 0.001.

Discussion

COM is a disease that can contribute to chronic systemic inflammation, and its fluctuating and relentless course can present substantial psychological burden to patients. Chronic systemic inflammation has been recently shown to be correlated with suicide tendency,[9] indicating that long-term illness is a potential proximal risk factor for suicide. It is therefore likely that COM patients have a greater suicide tendency. In this study, we demonstrated that COM patients had 1.93 times the risk of fatal/non-fatal suicide than control subjects. Considering death as the competing event, COM patients had 1.76 times the risk of fatal/non-fatal suicide than control subjects using a competing risk regression model. The effect of COM on fatal/non-fatal suicide was more prominent among diabetic patients. We also showed that higher COM severity was associated with greater risk of fatal/non-fatal suicide. This is the first report of such a link, so these results merit attention. Infections can induce systemic inflammation and subsequent neuroinflammatory processes, which may lead to the onset of suicide symptoms.[9] The prevalence of suicidal ideation and attempted suicide among human immunodeficiency virus patients is 31% and 32.7%, respectively.[15] Before medical treatment, 36% of chronic hepatitis C patients experience major depression and 18% have a moderate-to-severe suicide risk.[16] Latent Toxoplasma gondii infection has been recognized as a risk factor for suicide attempt.[17,18] Despite the known correlation between suicide tendency and the various infections mentioned above, no studies have examined the correlation between COM and suicide tendency. To our knowledge, this is the first study to demonstrate a correlation between COM and increased risk of fatal/non-fatal suicide. The incidence of fatal/non-fatal suicide, including suicide attempt or suicide death, was higher in the COM group than in the control group. The cumulative incidence of suicide attempt or suicide death was higher in the COM group than in the control group. We also demonstrated that among COM patients receiving both inpatient and outpatient care, the incidence of suicide attempt or suicide death was as high as 318.32 per 100,000 person-years. In other words, COM patients receiving both outpatient and inpatient care had 4.79 times the risk of fatal/non-fatal suicide (aHR = 4.79, 95% CI: 1.08–21.34) than control subjects. These results highlight the effect of COM on suicide occurrence. There are some study limitations. The definition of diseases was based only upon ICD-9-CM coding, so the severity, frequency and duration of treatment for respective diseases could not be fully investigated. We could not obtain data for all suicide risk factors (e.g. family history) from the LHID database. Only data for subjects seeking medical services owing to suicide attempt or subsequent suicide death could be obtained from the LHID database, so subjects with suicidal ideation or suicide plans could not be identified. The relatively low incidence rate of coded suicide events meant that some subgroup analyses, such as the fatal or non-fatal comparison, may have been underpowered. Finally, we could only obtain 23,039 matching subjects from the LHID instead of 23,048.

Conclusions

These findings demonstrate that COM is a risk factor for fatal/non-fatal suicide, including suicide attempts and suicide death. The relative importance of COM as a risk factor for fatal/non-fatal suicide was greater among diabetic patients. These data indicate that COM is not merely a local musculoskeletal disease and its association with suicide tendency justifies preventive measures for suicide attempts or suicide deaths among COM patients.

Data availability

The data used to support the findings of this study are restricted by the research ethics committee of China Medical University Hospital in Taiwan to protect patient privacy. Data are available from the corresponding author (Shu-Jui Kuo) for researchers who meet the criteria for access to confidential data.
  18 in total

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Authors:  Maryam Alavi; Jason Grebely; Gail V Matthews; Kathy Petoumenos; Barbara Yeung; Carolyn Day; Andrew R Lloyd; Ingrid Van Beek; John M Kaldor; Margaret Hellard; Gregory J Dore; Paul S Haber
Journal:  J Gastroenterol Hepatol       Date:  2012-05       Impact factor: 4.029

2.  Associations among depression, suicidal behavior, and quality of life in patients with human immunodeficiency virus.

Authors:  Gianluca Serafini; Franco Montebovi; Dorian A Lamis; Denise Erbuto; Paolo Girardi; Mario Amore; Maurizio Pompili
Journal:  World J Virol       Date:  2015-08-12

3.  Increased depression risk among patients with chronic osteomyelitis.

Authors:  Chun-Hung Tseng; Wei-Shih Huang; Chih-Hsin Muo; Yen-Jung Chang; Chia-Hung Kao
Journal:  J Psychosom Res       Date:  2014-09-16       Impact factor: 3.006

4.  Increased risk of ischaemic stroke amongst patients with chronic osteomyelitis: a population-based cohort study in Taiwan.

Authors:  C-H Tseng; J-H Chen; C-H Muo; Y-J Chang; F-C Sung; C Y Hsu
Journal:  Eur J Neurol       Date:  2014-03-06       Impact factor: 6.089

5.  Etiologic diagnosis of chronic osteomyelitis: a prospective study.

Authors:  Andres F Zuluaga; Wilson Galvis; Juan G Saldarriaga; Maria Agudelo; Beatriz E Salazar; Omar Vesga
Journal:  Arch Intern Med       Date:  2006-01-09

6.  Toxoplasma gondii antibody titers and history of suicide attempts in patients with recurrent mood disorders.

Authors:  Timothy A Arling; Robert H Yolken; Manana Lapidus; Patricia Langenberg; Faith B Dickerson; Sarah A Zimmerman; Theodora Balis; Johanna A Cabassa; Debra A Scrandis; Leonardo H Tonelli; Teodor T Postolache
Journal:  J Nerv Ment Dis       Date:  2009-12       Impact factor: 2.254

7.  The treatment of chronic osteomyelitis: a 10 year audit.

Authors:  I M Smith; O M B Austin; A G Batchelor
Journal:  J Plast Reconstr Aesthet Surg       Date:  2006       Impact factor: 2.740

8.  Association of Systemic Inflammation With Risk of Completed Suicide in the General Population.

Authors:  G David Batty; Steven Bell; Emmanuel Stamatakis; Mika Kivimäki
Journal:  JAMA Psychiatry       Date:  2016-09-01       Impact factor: 21.596

9.  Increased Risk for Hip Fractures among Patients with Cholangitis: A Nationwide Population-Based Study.

Authors:  Chieh-Cheng Hsu; Horng-Chaung Hsu; Che-Chen Lin; Yu-Chiao Wang; Hsuan-Ju Chen; Yung-Cheng Chiu; Chien-Chun Chang; Shu-Jui Kuo
Journal:  Biomed Res Int       Date:  2018-06-05       Impact factor: 3.411

10.  Association of Head and Neck Cancers in Chronic Osteomyelitis: A National Retrospective Cohort Study.

Authors:  Chia-Ta Tsai; Mao-Wang Ho; Dana Lin; Hsuan-Ju Chen; Chih-Hsin Muo; Chun-Hung Tseng; Wen-Chi Su; Ming-Chia Lin; Chia-Hung Kao
Journal:  Medicine (Baltimore)       Date:  2016-01       Impact factor: 1.817

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1.  Vitamin D Receptor Genetic Variations May Associate with the Risk of Developing Late Fracture-Related Infection in the Chinese Han Population.

Authors:  Xing-Qi Zhao; Kun Chen; Hao-Yang Wan; Si-Ying He; Han-Jun Qin; Bin Yu; Nan Jiang
Journal:  J Immunol Res       Date:  2022-02-10       Impact factor: 4.818

2.  Vitamin D Receptor Genetic Polymorphisms Associate With a Decreased Susceptibility to Extremity Osteomyelitis Partly by Inhibiting Macrophage Apoptosis Through Inhibition of Excessive ROS Production via VDR-Bmi1 Signaling.

Authors:  Xing-Qi Zhao; Hao-Yang Wan; Si-Ying He; Han-Jun Qin; Bin Yu; Nan Jiang
Journal:  Front Physiol       Date:  2022-07-25       Impact factor: 4.755

3.  Network Pharmacology-Based Analysis on Lonicera japonica for Chronic Osteomyelitis Treatment.

Authors:  Tingting Shao; Kai Huang
Journal:  J Oncol       Date:  2022-01-24       Impact factor: 4.375

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