Introduction
Fractures of the shoulder, including clavicle, acromion, scapula and glenoid fractures, are prevalent orthopaedic injuries. Such injuries to upper extremities can significantly impact individuals’ well-being and independence [
1].
Fractures in the shoulder commonly stem from traumatic incidents and are influenced by a range of factors including reduced bone density, muscle weakness, balance impairments, and age-related physiological shifts. Beyond inflicting physical discomfort and restricting mobility, these fractures heighten the likelihood of hospital admission and are associated with increased mortality. [
2‐
4]. While treatments, such as surgery, exist for these fractures, concerted efforts should be directed towards reducing their incidence. Shoulder fractures are associated with social impact for patients and high healthcare costs [
5‐
7]. As the elderly populations increase, monitoring of trends in shoulder fracture incidence using readily available data can enable stakeholders to identify groups at risk and tailor specific responses.
The aim of this study is to identify trends in incidence of shoulder fractures in Sweden, with a specific emphasis on sex, age, and temporal disparities using publicly available data.
Methods
Study design and data source
The study was designed as a population-based retrospective observational study. The main source of data was publicly available open-source data Swedish National Board of Health and Welfare (SNBHW) [
8]. The SNBHW national patient register (NPR) contain information on all diagnoses for all individuals receiving treatment in Swedish hospitals. The NPR can be utilized for analyses of fracture incidence on a population basis. ICD-10 codes are reported per unique personal identification number and are registered once per year and diagnosis group in order to minimizing the risk of duplicate reporting. Population census data was obtained from Statistics Sweden [
9].
Study population
The study population was defined as individuals who were diagnosed with a shoulder fracture during the time periods of 2008–2021 and 2008–2019 while residing in Sweden. Data from two periods were included, January 1st, 2008, to December 31st, 2021, and January 1st, 2008, to December 31st, 2019, in order to adjust for the influence of the COVID-19 pandemic on diagnostic trends. Patients were defined in to two age groups, above and below the age of 65. The age of 65 was chosen as a cutoff point due to the higher incidence of fractures in this population owing to lower bone density, higher fall incidence and increased frailty. We did not include fractures amongst people below the age of 18.
The International Classification of Diseases, Tenth Revision (ICD-10) codes were used to identify shoulder fractures. All fractures of the shoulder and upper arm (ICD-10 codes S42) were included, and the cases were extracted from the NPR diagnoses register. The total number of cases were 262,444.
Data analysis
Incidence of shoulder fractures per 100,000 person-years was calculated and then stratified by sex and predefined age groups. We used weights derived from the population distribution of standard population estimates to calculate age-specific population rates.We adjusted the population at risk on a yearly basis to account for the increased mortality during the COVID-19 pandemic, [
9].
Poisson regression was used as the trend predictor for shoulder fracture incidence. Seasonal variances in shoulder fractures incidence were calculated by dividing annual number of shoulder fractures with the number of shoulder fractures during the four yearly seasons. Linear regression analysis was performed to determine sex-specific incidence rates. Data calculations and prediction analysis was done using SPSS (Version 25.2). We defined a P-value of < 0.05 as statistically significant.
Ethical considerations
This study was exempt from ethical review due to the exclusive use of open source data.
Discussion
The findings of this study show differences in distribution across age and sex groups, seasonal variations, and projected trends of shoulder fractures in Sweden. Men older than 80 years and women 65 years and older were two group at risk for shoulder fractures which is in line with previous data [
10,
11]. These results were not surprising given that shoulder fractures are a common injury in elderly women due to osteoporosis, increased tendency for falls and higher frailty in this population [
12,
13]. The next 15 years, according to our analysis, will display slightly lower incidence in shoulder fracture incidence in people over 65 years of age and in older women. The COVID-19 pandemic had also impacted the shoulder fracture incidence numbers in Sweden during 2020–2022, which affected the analysis.
There is another validated register for fractures in Sweden, the Swedish register for fractures, the ‘Svenska Frakturregistret’ [
14]. However, the Swedish register for fractures suffers from poor data completeness as it is not mandatory for regions to participate in its reporting. The NPR includes all registered citizens in Sweden and therefore provides a more complete image of fracture incidence than the Swedish register for fractures and has been externally validated [
15]. However, the NPR does not contain information about treatments or subtypes of fractures which hinders further analysis. Additional studies are therefore required to examine potential variations in patient characteristics or injury mechanisms among different subtypes of shoulder injuries. Unfortunately, due to the limitations in the available dataset, described above, this analysis was not feasible using our dataset.
The COVID-19 pandemic period (2020–2022) presented unique challenges that likely influenced the trends observed in shoulder fracture incidence, particularly among the elderly population. During this period, Sweden, like many other countries, experienced significant increases in mortality rates, particularly among those aged 65 and older, due to the direct and indirect effects of the pandemic. To account for the potential impact of this increased mortality on our analysis, we adjusted the population at risk on a yearly basis using age-specific mortality data.
It is important to recognize that the healthcare-seeking behavior and overall lifestyle changes during the pandemic, such as reduced physical activity and altered social interactions due to lockdowns and restrictions, may have contributed to the observed trends. Reductions in both incidence rates and number of shoulder fractures during 2020 has previously been reported in numerous publications in other studies [
16‐
18]. Similar trends have been observed for other injuries and diseases during the pandemic [
19]. However, to our knowledge this is the first nationwide observational study on shoulder fractures during the pandemic. Although Sweden notably avoided implementing stringent lockdown measures. This, coupled with alterations in activity levels, could account for the observed decline in fracture incidence during the pandemic years.
In our projection analysis, we observed a decrease in fracture incidence among the elderly population, which might seem counterintuitive given the expected increase in this demographic. This trend could be explained by several factors. Improved preventive measures, such as better osteoporosis management and fall prevention programs, alongside advancements in healthcare, likely contribute to reducing fracture rates [
20,
21]. Additionally, behavioural changes, such as increased physical activity and better overall health among the elderly, may play a role in mitigating fracture risk. In our analysis, the exclusion of COVID-19 years significantly impacted the projected incidence of shoulder fractures in individuals under 65, with a notably higher expected incidence when these years were excluded. This suggests that the pandemic had a substantial effect on fracture trends in younger populations, likely due to changes in behaviour or healthcare access during this period. In contrast, projections for those over 65 remained consistent regardless of COVID-19 data inclusion, indicating that the pandemic had a less pronounced impact on this age group’s long-term fracture trends. However, caution is warranted in interpreting these projections as our projection model may not fully account for the impact of demographic changes. In particular the expected increase in elderly population which may skew incidence numbers [
22].
The seasonal variance in fracture incidence, with a statistically significant increase during winter months. The higher incidence of fractures during the winter months can be attributed to several factors. In Sweden, winter is characterized by icy and slippery conditions, which increase the likelihood of falls, especially among the elderly. Additionally, reduced daylight hours and colder temperatures may limit outdoor activity, potentially leading to decreased physical fitness and balance, further heightening fracture risk. This seasonal trend is consistent with previous studies that have documented similar patterns [
23,
24]. Further investigation into the reasons behind this seasonality is warranted in order to facilitate targeted preventive measures during the winter months to protect vulnerable populations, particularly the elderly.
While this study provides insights, certain limitations should be acknowledged. The retrospective observational nature of the analysis relies on accurate and complete reporting in publicly available healthcare records. We were also not able to distinguish between certain subgroups of shoulder fractures as the ICD-10 codes we analyzed does not distinguish between fractures. Nevertheless, we believe our findings provide important data in the expected incidence of shoulder fractures in the population in Sweden using easily available and stratified data.
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