International Classification of Diseases 10th edition-based disability adjusted life years for measuring of burden of specific injury

Epidemiological trend of lung cancer burden caused by residential radon exposure in China from 1990 to 2019

OBJECTIVE

This study employed time series data to assess long-term changes in the burden of lung cancer (LC) caused by residential radon exposure, an important environmental risk factor, so as to develop evidence-based strategies for future public health management.

METHODS

Based on the open data from the Global Burden of Disease (GBD 2019) database, we conducted an analysis of the residential radon exposure-caused LC mortality, disability-adjusted life years (DALYs), and corresponding crude rates and age-standardized rates (ASRs) for various age groups. We employed the employed age-period-cohort (APC) model to investigate the age, period, and cohort effects of the data, allowing us to discern the trends in LC disease burden attributable to radon exposure in residential settings over time.

RESULTS

From 1990 to 2019, age-standardized mortality rates (ASMR) and age-standardized DALYs rates of LC caused by residential radon exposure in China demonstrated an overall increasing trend, with males higher than females. The CMR and crude DALYs rate for males were higher than those for females across all age groups. The APC analysis revealed that the local drift of LC death and DALYs rates in males and females showed a decreasing trend before 60 and an increasing trend after 60.

CONCLUSION

The persistent presence of residential radon exposure as a crucial risk factor for LC underscores the need for public health authorities and policymakers to take more proactive measures to reduce radon exposure. Particularly, attention should be paid on the elderly population and male patients.

Using machine learning to detect sarcopenia from electronic health records

Introduction

Sarcopenia (low muscle mass and strength) causes dysmobility and loss of independence. Sarcopenia is often not directly coded or described in electronic health records (EHR). The objective was to improve sarcopenia detection using structured data from EHR.

Methods

Adults undergoing musculoskeletal testing (December 2017-March 2020) were classified as meeting sarcopenia thresholds for 0 (controls), ≥1 (Sarcopenia-1), or ≥2 (Sarcopenia-2) tests. Electronic health record diagnoses, medications, and laboratory testing were extracted from the Indiana Network for Patient Care. Five machine learning models were applied to EHR data for predicting sarcopenia.

Results

Of 1304 participants, 1055 were controls, 249 met Sarcopenia-1 and 76 met Sarcopenia-2. Sarcopenic participants were older, with higher fat mass, Charlson Comorbidity Index, and more chronic diseases. All models performed better for Sarcopenia-2 than Sarcopenia-1. The top performing models for Sarcopenia-1 were Logistic Regression [area under the curve (AUC) 71.59 (95% confidence interval [CI], 71.51-71.66)] and Multi-Layer Perceptron [AUC 71.48 (95%CI, 71.00-71.97)]. The top performing models for Sarcopenia-2 were Logistic Regression [AUC 91.44 (95%CI, 91.28-91.60)] and Support Vector Machine [AUC 90.81 (95%CI, 88.41-93.20)]. For the best Logistic Regression Model, important sarcopenia predictors included diabetes mellitus, digestive system complaints, signs and symptoms involving the nervous, musculoskeletal and respiratory systems, metabolic disorders, and kidney or urinary tract disorders. Opioids, corticosteroids, and antihyperlipidemic drugs were also more common among sarcopenic participants.

Conclusions

Applying machine learning models, sarcopenia can be predicted from structured data in EHR, which may be developed through future studies to facilitate large-scale early detection and intervention in clinical populations.

Data resource profile: the Korea National Hospital Discharge In-depth Injury Survey

The Korea National Hospital Discharge In-depth Injury Survey (KNHDIS), which was started in 2005, is a national probability survey of general hospitals in Korea with 100 or more beds conducted by the Korea Disease Control and Prevention Agency (KDCA). The KNHDIS captures approximately 9% of discharged cases from sampled hospitals using a 2-stage stratified cluster sampling scheme, among which 13% are injury related cases, defined as S00-T98 (injury, poisoning, and certain other consequences of external causes) using International Classification of Diseases, 10th revision codes. The KNHDIS collects information on characteristics of injury-related discharges in order to understand the scale of injuries, identify risk factors, and provide data supporting prevention policies and intervention strategies. The types of data captured include the hospitals’ information, detailed clinical information, and injury-related codes such as the mechanism, activities undertaken when injured (sports, leisure activities, work, treatment, and education), external causes of the injury, and location of the occurrence of the injury based on the International Classification of External Causes of Injuries. Furthermore, the means of transportation, risk factors for suicide, and toxic substances are recoreded. Annual reports of the KNHDIS are publicly accessible to browse via the KDCA website (http://www.kdca.go.kr) and microdata are available free of charge upon request via email (kcdcinjury@korea.kr).

The Burden of High-Energy Musculoskeletal Trauma in High-Income Countries

INTRODUCTION TO THE PROBLEM

Though declining in the recent decades, high-energy musculoskeletal trauma remains a major contributor to the burden of disease in high-income countries (HICs). However, due to limitations in the available body of the literature, evaluation of this burden is challenging. The purpose of this review is to assess: (1) the current epidemiologic data on the surgical burden of high-energy musculoskeletal trauma in HICs; (2) the current data on the economic impact of high-energy musculoskeletal trauma; and (3) potential strategies for addressing gaps in musculoskeletal trauma care for the future.

REVIEW OF LITERATURE

In 2016, mortality from road traffic injuries (RTIs) between the ages of 15-49 was reported to be 9.5% (9.0-9.9) in high-income countries, accounting for approximately 255 million DALYs. While RTIs do not fully capture the extent of high-energy musculoskeletal trauma, as the most common mechanism, they serve as a useful indicator of the impact on the surgical and economic burden. In 2009, the global losses related to RTIs were estimated to be 518 billion USD, costing governments between 1 and 3% of their gross domestic product (GDP). In the last decade, both the total direct per-person healthcare cost and the incremental direct per-person costs for those with a musculoskeletal injury in the USA rose 75 and 58%, respectively.

FUTURE DIRECTIONS

ADDRESSING THE GAPS: While its impact is large, research on musculoskeletal conditions, including high-energy trauma, is underfunded compared to other fields of medicine. An increased awareness among policy makers and healthcare professionals of the importance of care for the high-energy musculoskeletal trauma patient is critical. Full implementation of trauma systems is imperative, and metrics such as the ICD-DALY have the potential to allow for real-time evaluation of prevention and treatment programs aimed to reduce injury-related morbidity and mortality. The dearth in knowledge in optimal and cost-effective post-acute care for high-energy musculoskeletal trauma is a reason for concern, especially since almost half of the costs are attributed to this phase of care. Multidisciplinary rehabilitation teams as part of a musculoskeletal trauma system may be of interest to decrease further the long-term negative effects and the economic burden of high-energy musculoskeletal trauma.

Prevalence of Endocrine Disorders in Childhood Brain Tumor Survivors in South Korea

BACKGROUND/AIM

This longitudinal study aimed to analyze the prevalence of endocrine disorders in childhood brain tumor survivors in South Korea using claims data.

PATIENTS AND METHODS

We identified in 1,058 patients from a nationwide cohort of patients diagnosed with brain tumors between January 1st 2009 to March 29th 2016. Multivariable logistic regression was used to evaluate associations between clinical factors and endocrine disorders.

RESULTS

After a median follow-up of 60.0 months, 393 (37.1%) patients had at least 1 endocrine disorder. The commonest endocrine disorders were hypopituitarism (17.4%) and hypothyroidism (6.1%). Female gender (odds ratio(OR)=1.45, p=0.005) and age <10 years (OR=1.65, p=0.001) conferred a higher risk. Patients who received radiotherapy were more likely to have endocrine disorders compared to those who did not (OR=1.79, p<0.001).

CONCLUSION

Regular assessment of endocrine function and timely interventions are necessary for childhood brain tumor survivors with a risk of endocrine disorders.

New 5-D Coding System for Categorization of Plastic Surgery Conditions

BACKGROUND

There is need for a coding system for categorizing the plastic surgery conditions to facilitate efficient data exchange, retrieval, research, time-series analysis, clinical audit, insurance and legal purposes. This is a pilot study to assess feasibility of newly proposed 5-D coding system in categorizing the plastic surgery conditions.

METHODS

Retrospective analysis of records of plastic surgery patients visited in last 15 months was done. Each patient was assigned a code according to the newly proposed 5-D system of coding and recorded in excel sheet. Data analysis was done to categorize various plastic surgery conditions. Results of analysis were shown to 11 plastic surgeons and their feedback was taken.

RESULTS

Feedback taken from participants showed 5-D coding system was useful and practically easy to categorize the plastic surgery conditions.

CONCLUSION

Proposed new 5-D coding system is easy and useful in categorization of plastic surgery conditions.

Trend in Disability-Adjusted Life Years (DALYs) for Injuries in Korea: 2004-2012

BACKGROUND

Injury is a major public health problem and accounts for 10% of the global burden of disease. This study intends to present the temporal trend in the injury burden in Korea and to compare the burden size by injury mechanism and age group.

METHODS

This study was a nationwide population-based observational study. We used two data sets, the death certificates statistics and the Korean National Hospital Discharge Survey data (2004-2012). We calculated age-standardized disability-adjusted life year (DALY) from years of life lost (YLL) and years lived with disability (YLD) and trend analysis.

RESULTS

The DALYs of road injury decreased (P = 0.002), falls did not exhibit a trend (P = 0.108), and self-harm increased overall (P = 0.045). In the road injury, the YLLs decreased across all 4 age groups (0-14, 15-49, 50-79, ≥ 80) and the YLDs decreased in the 0-14-year-old group. In total, the DALYs of road injuries decreased in the 0-14-year-old group. In the fall injury, although the YLLs decreased in the over 80-year-old group, the YLDs increased in the 50-79-year-old group and the over 80-year-old group. The burden of self-harm injury was high in the age group 15 years and over, especially in the 15-49-year-old group.

CONCLUSION

The leading causes of the injury burden were road injuries, falls, and self-harm. The burden of road injury and self-harm have recently shown a gradual decreasing tendency. On the other hands, that of fall injuries are continually high in the age group over 50 years of age.

Relating factors to severe injury from outdoor falls in older people

AIM

The aim of the present study was to evaluate the clinical characteristics, including floor characteristics and factors, related to severe injury from outdoor falls in older adults.

METHODS

Patients were divided into two groups based on injury severity: the severe group and non-severe group. The clinical and general characteristics were compared between the two groups, and factors associated with severe injury were investigated.

RESULTS

Approximately 5% (364/7635) of older people involved in outdoor falls were classified into severe injury. The proportion of men and the rate of alcohol ingestion were higher in the severe group compared with that in the non-severe group. Falling from stairs was a more frequent mechanism of fall in the severe group compared with that in the non-severe group. Non-slippery floor condition had a higher proportion in the severe group than that in the non-severe group. Head and neck were the predominantly injured regions in both groups. Discharge was the most common result of emergency department treatment in the non-severe group, whereas admission to intensive care unit was the main result in the severe group. Multivariate logistic analysis showed that male sex and falls from stairs rather than slipping down on the same level were associated with severe injury.

CONCLUSIONS

Floor characteristics did not influence injury severity; however, the risk of severe injury from outdoor falls in older adults was high in men and those who fell from stairs. Geriatr Gerontol Int 2018; 18: 80-87.