The incidence of hip fracture in Shiraz, Iran: a promising rate comparing to previous studies

The association of opioid consumption and osteoporosis in old men: Bushehr Elderly Health (BEH) program

In a population of 1156 men aged ≥ 60 years, opioid drug use was reported by 4.1% (n = 47) of participants. Among opioids, opium was the most prevalent consuming drug (83%). Adjusting for potential confounders, opioid consumption showed a positive association with osteoporosis.

PURPOSE

Limited evidence suggest a relationship between opioid consumption and osteoporosis. This study aims to investigate the possible association of osteoporosis and drug use among older adult men of Bushehr, Iran.

METHODS

In this study, 1156 men aged ≥ 60 years of Bushehr Elderly Health (BEH) were included. Bone density and trabecular bone score (TBS) were measured using dual-energy X-ray absorptiometry. Total osteoporosis was noted based on osteoporosis at either site of the lumbar spine, femoral neck, and total hip densitometry. Drug use was defined as a self-reported current use of opioid drugs, either regular (daily) use or irregular consumption. Multivariable modified Poisson regression analysis was used for investigating the association of opioids and osteoporosis, reporting the adjusted prevalence ratio (APR) with 95% confidence interval (CI). The association between drug use and TBS was evaluated using a linear regression model.

RESULTS

Opioid drug use was reported by 4.1% (n = 47) of participants. Among drug users, opium was the most prevalent consuming drug (83%). In all, 38.3% of drug users and 22.4% of non-users had osteoporosis (p-value = 0.011). Multivariable analysis showed that adjusting by age, education, smoking, alcohol consumption, body mass index, diabetes, and physical activity, a positive and significant association was detected between opioid drug use and the likelihood of osteoporosis (APR: 1.46, 95%CI: 1.02-2.10). Considering the potential confounders, the results also showed a negative association between drug consumption and TBS (β: - 0.027, 95%CI: - 0.053, - 0.001).

CONCLUSION

Opioid drug use has a positive association with osteoporosis in elderly men, independent of other conventional risk factors. Elderly drug users might be at a higher risk for osteoporotic fractures, given the effect of substance use on cognition. So, osteoporosis among drug users would be of importance, especially in countries where opium consumption is prevalent.

The incidence of musculoskeletal injuries: a systematic review and meta-analysis

Aims

The aim of this systematic review and meta-analysis was to gather epidemiological information on selected musculoskeletal injuries and to provide pooled injury-specific incidence rates.

Methods

PubMed (National Library of Medicine) and Scopus (Elsevier) databases were searched. Articles were eligible for inclusion if they reported incidence rate (or count with population at risk), contained data on adult population, and were written in English language. The number of cases and population at risk were collected, and the pooled incidence rates (per 100,000 person-years) with 95% confidence intervals (CIs) were calculated by using either a fixed or random effects model.

Results

The screening of titles yielded 206 articles eligible for inclusion in the study. Of these, 173 (84%) articles provided sufficient information to be included in the pooled incidence rates. Incidences of fractures were investigated in 154 studies, and the most common fractures in the whole adult population based on the pooled incidence rates were distal radius fractures (212.0, 95% CI 178.1 to 252.4 per 100,000 person-years), finger fractures (117.1, 95% CI 105.3 to 130.2 per 100,000 person-years), and hip fractures (112.9, 95% CI 82.2 to 154.9 per 100,000 person-years). The most common sprains and dislocations were ankle sprains (429.4, 95% CI 243.0 to 759.0 per 100,000 person-years) and first-time patellar dislocations (32.8, 95% CI 21.6 to 49.7 per 100,000 person-years). The most common injuries were anterior cruciate ligament (17.5, 95% CI 6.0 to 50.2 per 100,000 person-years) and Achilles (13.7, 95% CI 9.6 to 19.5 per 100,000 person-years) ruptures.

Conclusion

The presented pooled incidence estimates serve as important references in assessing the global economic and social burden of musculoskeletal injuries. Cite this article: Bone Joint Res 2022;11(11):814–825.

Annual incidence of osteoporotic hip fractures in Iran: a systematic review and meta-analysis

Background

Osteoporosis (OP) is progressively becoming a global concern with the aging of the world’s populations. Osteoporotic fractures are associated with significantly increased mortality rates and a financial burden to health systems. This Meta-analysis aims to estimate the annual incidence of osteoporotic fractures in Iran.

Methods

A comprehensive systematic literature search was performed through Medline (PubMed), Embase, Scopus, Web of Science, and Google Scholar to identify studies which contain an investigation of the incidence of osteoporotic fractures in Iran up to December 3rd 2020, with no time and language restriction. For the risk of bias assessments of studies, the Joanna Briggs Institute (JBI) critical appraisal checklist for studies reporting prevalence data was used. The pooled estimation of the incidence of osteoporotic fractures in population aged≥50 years was calculated using random-effects meta-analysis, and the heterogeneity of included studies was quantified with the I² statistic.

Results

In all, 6708 papers were initially retrieved from the electronic databases, among which seven studies were included in the meta-analysis. The pooled standardized annual cumulative incidence of hip fractures was estimated as 138.26 (95% CI: 98.71–193.65) per 100,000 population and 157.52 (95% CI: 124.29–199.64) per 100,000 population in men and women, respectively.

Conclusion

This study showed a high incidence rate of osteoporotic hip fractures in Iran. Early detection and treatment of individuals with higher risks of primary fragility fractures at primary health care as well as implementing fracture liaison services to prevent secondary fractures are highly recommended. The results suffer from the following limitations: first, a low number of studies that were eligible for inclusion; second, the lack of population-based studies; and presence of highly heterogeneous studies despite the use of a random effect model.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-021-02603-1.

Sex-specific incidence rates and risk factors for fracture: A 16-year follow-up from the Tehran lipid and glucose study

OBJECTIVE

To examine the population-based incidence of any-fracture and its potential risk factors in a sex-split cohort of the Iranian population.

MATERIALS AND METHODS

A total of 3477 men and 4085 women with a mean (SD) age of 47.92(13.1) and 45.88(11.47) years, respectively were entered into the study. The age-standardized incidence rates per 100,000 person-years were reported for the whole population and each sex separately. Cox proportional hazard models were used to estimate hazard ratios (HR) for potential risk factors. Only fractures requiring inpatients' care were considered as the outcome. We also defined major osteoporotic fractures (MOF) as the composite of the fractures that occurred in the vertebral, wrist, hip and pelvic sites among population aged ≥50 years.

RESULTS

During the median (IQR) follow-up of 15.9 years, 4.34%men and 3.75% women experienced at least one incident any-fracture. The annual age-standardized incidence rates (95% CI) among men and women were 330.9 (279.6-388.9) and 319.4(268.1-377.3) per 100,000 person-years, respectively; the corresponding values for incidence of MOF was 202.2(142.3-278.6) in men and 342.1(260.4-441.0) per 100,000 person-years for women. In the multivariable model, among the whole population, age groups ≥50 years, central obesity [HR: 95% CI 1.77(1.32-2.39)], current smoking [1.59(1.15-2.20)] and using steroid medications [2.20(1.04-4.67)] significantly increased the risk of incident fracture (all P < 0.05); however the impact of the first two risk factors were more prominent among women (P for interaction ≤0.01). Moreover, being obese was associated with a lower risk of incident first fracture in the total population [HR: 95% CI: 0.61(0.40-0.92)]. Being men [HR: 95% CI: 0.54(0.30-0.99)] and prediabetes status [HR: 95% CI: 0.53(0.30-0.95)] were also associated with lower risk for MOF.

CONCLUSION

This is the first report of long-term incidence rate of any-fracture and MOF conducted in the metropolitan city of Tehran. Among modifiable risk factors of fracture, in the whole population smoking habit and using steroid medications and particularly for women central obesity should be considered as main risk factors for preventive strategies. Prediabetes status was associated with lower risk of MOF.

Factors associated with one-year mortality of patients admitted with fragility hip fracture: a follow-up study in Southern Sri Lanka

One hundred and eighty patients with incident fragility hip fracture admitted to a tertiary care center in Sri Lanka were followed up for 12 months. When compared with those survived, patients who died were older and had higher comorbidity and physical impairment, before fracture and at discharge from the hospital.

INTRODUCTION

This study examined the factors that are associated with mortality within the first 12 months, of patients admitted with fragility hip fracture to a tertiary care center in Southern Sri Lanka.

METHODS

One hundred and eighty consecutive patients admitted with new fragility hip fracture were followed up for 12 months post-fracture. Apart from age and gender, information related to physical dependency (prefracture and at discharge) and comorbidity were collected from all subjects.

RESULTS

Of 180 patients (149women), 107 had surgery while the rest were managed conservatively. Mean (SD) age of study subjects was 76.5 (9.2 years). Thirty-three patients died within the first 12 months were older and had higher comorbidity and physical impairment before fracture and at discharge from the hospital, when compared with those survived. Relative risk (95% CI, p value) of death for being a male was 6.52 (3.18-11.5, < 0.001) and corresponding values for conservative management were 6.59 (2.86-15.2, < 0.001). In the ROC analysis, in which mortality/survival was taken as state variable, AUCs for age, Charlson index, age-adjusted Charlson index, and Barthel index before fracture and Barthel index at discharge were 0.77 (0.04), 0.79 (0.04), 0.70 (0.05), 0.67 (0.05), and 0.76 (0.04 ) (p < 0.01 for all). Age-adjusted odd ratios (95% CI) of ACCI, CCI, surgical management, and Barthel index before fracture and at discharge were 2.21 (1.37 to 3.57), 2.37 (1.46 to 3.83), 0.18 (0.06 to 0.53), 0.91 (0.85 to 0.97), and 0.93 (0.88 to 0.99), respectively (p < 0.05 for all).

CONCLUSIONS

We conclude that advanced age, male gender, higher comorbidity, physical impairment before and after fracture, and conservative management lead to a higher risk of mortality in patients admitted with incident fragility hip fracture. This study can be used as a platform for future research in this area in Sri Lanka.

Secular Trends of Hip Fractures in Lebanon, 2006 to 2017: Implications for Clinical Practice and Public Health Policy in the Middle East Region

Country-specific hip fracture incidence rates (IRs) and longevity allow the Fracture Risk Assessment Tool (FRAX) to be adapted to individual countries. Secular trends can affect tool calibration. Data on hip fracture IRs in the Middle East is scarce, and long-term secular trend studies are nonexistent. Using the Ministry of Public Health hip fracture registry, we calculated age- and sex-specific hip fracture IRs in Lebanon, from 2006 to 2017, among individuals aged ≥50 years. We used Kendall's tau-b (τb) test to determine the correlation between time and hip fracture IRs, and calculated both the annual % change in IRs and the % change in IR compared to the baseline period (2006 to 2008). The registry recorded 6985 hip fractures, 74% at the femoral neck, 23% intertrochanteric, and 3% subtrochanteric. Men constituted 32% of the population, and were significantly younger than women (76.5 ± 11.0 years versus 77.7 ± 10.3 years; p < 0.001). Annual overall IRs, per 100,000, ranged from 126.6 in 2014 to 213.2 in 2017 in women, and 61.4 in 2015 to 111.7 in 2017 in men. The average women to men IR ratio was 1.8 (range, 1.5 to 2.1). IRs steadily increased with age, and IR ratios increased in parallel in both sexes, with a steeper and earlier rise (by 5 years) in women. Data showed a consistent decline in hip fracture IRs starting in 2006 in women, and in 2009 in men. There was a significant negative correlation between time (2006 to 2014) and hip fracture IRs in women (τb = -0.611, p = 0.022) but not in men (τb = -0.444, p = 0.095). The steady decrease in IRs reversed after 2015 in both sexes. This long-term data on secular trends in the Middle East is novel and consistent with worldwide changes in hip fracture rates. The impact of such changes on national FRAX-derived estimates is unclear, should be assessed, and may necessitate an update in the FRAX Lebanon calculator. © 2019 American Society for Bone and Mineral Research.

Bone Turnover Markers and Bone Mineral Density to Predict Osteoporotic Fractures in Older Women: A Retrospective Comparative Study

Objective

To investigate the clinical significance of the detection of bone mineral density (BMD) and bone turnover markers (BTM) in older women with osteoporosis, and to compare their predictive power for osteoporotic fractures (OF).

Methods

In this retrospective study, 96 patients with OF and 107 patients with osteoporosis who were hospitalized in the Department of Orthopedics at the First Affiliated Hospital of Chengdu Medical College were examined from October 2017 to February 2019. All selected patients were divided into either the fracture group (96 cases, 47.3%) or the non‐fracture group (107 cases, 52.7%). BMD was measured by dual‐energy X‐ray absorptiometry (DXA). BTM were detected by electrochemical luminescence: aminoterminal propeptide of type I procollagen (PINP), β‐cross‐linked C‐telopeptide of type I collagen (β‐CTX), and molecular fragment of osteocalcin N terminal (N‐MID). Bone metabolism‐related indicators were detected, including alkaline phosphatase (ALP), calcium (Ca), and phosphorus (P). Independent‐samples t‐tests were used to compare the measurement data between the two groups, one‐way ANOVA to compare the gaps between groups, and binary logistic regression to analyze the correlation of BMD and BTM with OF.

Results

There were no significant differences in age, weight, height, body mass index, age, and time of menopause between the two groups. There were a total of 71 cases (35.0%) in group A (60–70 years), 80 cases (39.4%) in group B (71–80 years), and 52 cases (25.6%) in group C (81–90 years). The fracture group was compared with the non‐fracture group for BMD in the lumbar (0.75 ± 0.05 vs 0.88 ± 0.13, 0.75 ± 0.16 vs 0.87 ± 0.09, 0.74 ± 0.21 vs 0.87 ± 0.12 g/cm²; P < 0.05), BMD in the hip (0.62 ± 0.16 vs 0.74 ± 0.14, 0.61 ± 0.15 vs 0.73 ± 0.0, 0.58 ± 0.13 vs 0.73 ± 0.08 g/cm²; P < 0.05), PINP (83.7 ± 5.7 vs 74.8 ± 5.0, 80.7 ± 4.1 vs 72.1 ± 5.1, 81.2 ± 7.0 vs 68.7 ± 6.3 ng/mL, P < 0.05), and β‐CTX (829.7 ± 91.5 vs 798.8 ± 52.2, 848.1 ± 71.2 vs 812.4 ± 79.0, 867.3 ± 53.1 vs 849.1 ± 67.2 pg./mL, P < 0.05). N‐MID (19.0 ± 6.7 vs 21.3 ± 9.7, 16.2 ± 7.0 vs 18.0 ± 5.3 ng/mL, P < 0.05) in the fracture cases was lower than in the non‐fracture cases for groups B and C, and there was statistical significance. Among the fracture cases, PINP in group A was higher than in group B and C, and β‐CTX in group C was higher than in group A and B (P < 0.05). There was no significant difference in the ALP, P, and Ca between the two groups (P > 0.05). Binary logistic regression analysis showed that for BMD in the lumbar and hip, β‐CTX and OF were significantly correlated (respectively, odds ratio [OR] = −4.182, 95% confidence interval [CI] 1.672–3.448; OR = 6.929, 95% CI 2.586–12.106; OR = 7.572, 95% CI 1.441–3.059), and the differences were statistically significant. PINP and N‐MID were correlated with OF (respectively, OR = 4.213, 95% CI 0.978–1.005; OR = 2.510, 95% CI 1.070–1.134, P > 0.05), the difference was not statistically significant.

Conclusion

Osteoporotic older women, with lower bone density and higher β‐CTX, are more likely to incur OF. β‐CTX is better than BMD at predicting OF and can help in its management and in implementing interventions in high‐risk populations.

Factors affecting recovery during the first 6 months after hip fracture, using the decision tree model

Pelvic fractures are one of the most common orthopedic problems that can reduce the quality of life in the elderly. In this prospective study, we found that osteoporosis, depression, and socioeconomic status were the most important factors associated with patients' recovery during the first 6 months after pelvic fracture.

PURPOSE

Hip fractures are one of the most common orthopedic problems that can reduce the quality of life in the elderly. Considering that, we aimed to provide a comprehensive assessment of the factors affecting recovery during the first 6 months after hip fracture.

METHODS

All patients with hip fracture admitted to any of the orthopedic hospitals during July 10, 2011 to July 9, 2012 in Shiraz, Iran were included in this prospective cohort study. Patients' demographic data and also information regarding their performance and mobility after hip fracture was collected in two interviews at intervals of 6 months. All analyses were done in R software and mostly by party packages and PCAmixdata package. Tree and forest models of conditional inference were used to evaluate the factors affecting the recovery after hip fracture.

RESULTS

Two hundred sixty-six out of 514 patients (51.75%) with hip fracture recovered completely after a 6-month follow-up period. Osteoporosis, new-onset depression after hip fracture, and socioeconomic status (SES) were the most important predictors of patients' mobility status 6 months after hip fracture. In identifying predictor variables, the conditional inference forest method provided a more appropriate fit for the data than the conditional inference tree.

CONCLUSIONS

Awareness of the factors that affect patients' recovery can be helpful in improving the patients' health, as well as improving care services, thereby increasing the success of treatment. Osteoporosis, new-onset depression after hip fracture, and SES were the most important factors associated with patients' recovery. Therefore, focusing on these variables is essential.