Global, regional, and national burden of premenstrual syndrome, 1990-2019: an analysis based on the Global Burden of Disease Study 2019.

STUDY QUESTION: What is the burden of premenstrual syndrome (PMS) at the global, regional, and national levels across 21 regions and 204 countries and territories? SUMMARY ANSWER: Over the past few decades, the global prevalent cases of PMS have grown significantly from 652.5 million in 1990 to 956.0 million in 2019, representing a 46.5% increase. WHAT IS KNOWN ALREADY: PMS, which affects almost half of reproductive women worldwide, has substantial social, occupational, academic, and psychological effects on women's lives. However, no comprehensive and detailed epidemiological estimates of PMS by age and socio-demographic index (SDI) at global, regional, and national levels have been reported. STUDY DESIGN, SIZE, DURATION: An age- and SDI-stratified systematic analysis of the prevalence and years lived with disability (YLD) of PMS by age and SDI across 21 regions and 204 countries and territories has been performed. PARTICIPANTS/MATERIALS, SETTING, METHODS: The prevalence and YLD of PMS from 1990 to 2019 were retrieved directly from the Global Burden of Diseases (GBD) 2019 study. The number, rates per 100 000 persons, and average annual percentage changes (AAPCs) of prevalence and YLD were estimated at the global, regional, and national levels. MAIN RESULTS AND THE ROLE OF CHANCE: Globally, the prevalent cases of PMS increased by 46.5% from 652.5 million in 1990 to 956.0 million in 2019; in contrast, however, the age-standardized prevalence rate was approximately stable at 24 431.15/100 000 persons in 1990 and 24 406.51/100 000 persons in 2019 (AAPC, 0[95% CI: -0.01 to 0.01]). Globally, the YLD was 8.0 million in 2019 and 5.4 million in 1990, with a sizable increase over the past 30 years. The age-standardized YLD rate was stable (AAPC 0.01, P = 0.182), at 203.45/100 000 persons in 1990 and 203.76/100 000 persons in 2019. The age-standardized burden estimates were the highest in the low-middle SDI regions and the lowest in the high SDI regions. Peaks in burden rate estimates were all observed in the 40-44 years age group. Regional age-standardized burden estimates were the highest in South Asia and the lowest in Western Sub-Saharan Africa. The national age-standardized burden estimates were the highest in Pakistan and the lowest in Niger. LIMITATIONS, REASONS FOR CAUTION: The accuracy of the results depended on the quality and quantity of the GBD 2019 data. Fortunately, the GBD study endeavoured to retrieve data globally and applied multiple models to optimize the completeness, accuracy, and reliability of the data. In addition, the GBD study took the country as its basic unit and neglected the influence of race. Further study is warranted to compare differences in PMS burden associated with race. Finally, no data are available on the aetiology and risk information related to PMS, which might help us to better understand the trends and age distribution of PMS and help local governments formulate more detailed policies and comprehensive interventions. WIDER IMPLICATIONS OF THE FINDINGS: Although the age-standardized prevalence/YLD rate has been stable over the past 30 years, the absolute number of prevalent cases and YLD grew significantly worldwide from 1990 to 2019. Public health-related policies should be implemented to reduce the prevalence and alleviate the symptoms of PMS. Lifestyle changes and cognitive-behavioral therapy are critical in helping to reduce the burden of PMS. STUDY FUNDING/COMPETING INTEREST(S): This study was supported by the National Key Research and Development Program of China (grant number 2022YFC2704100) and the National Natural Science Foundation of China (No. 82001498, No. 82371648). The authors declare no conflict of interest. TRIAL REGISTRATION NUMBER: N/A.

Time trends and regional variations in prices of anticancer medicines in China.

Introduction: High prices, as a main factor, contributed to the lack of adequate access to essential anticancer medicines, especially for patients in developing countries. The Chinese Government has introduced a series of policies to control the prices of medicines during the last decade, but the effect on anticancer medicine is not yet clear. Methods: To evaluate the time trends and regional variation in the price of essential anticancer medicines in China, we used the procurement data of anticancer medicines from 2015 to 2022. We selected 29 anticancer medicines from the 2018 Chinese National Essential Medicines List. To measure the cost of a medicine, we used defined daily dose cost -the cost per defined daily doses. At national level, we focused on the price changes over time and compared the price between medicine categories. At provincial level, we assessed price variation among provinces over time. Results: For prices at the national level, all 6 targeted medicines exhibited a continuous decrease trend in price. Out of 23 non-targeted medicines, 4 (17·39%) experienced continuous increases in prices, and 9 (39·13%) showed price decreases from 2015 to 2019 and then an upward trend during 2019-2022; Of the remaining non-targeted medicines, 7 (30·43%) had continuous price decreases and 3 (13.04%) had price increases followed by decreases. For prices at the provincial level, provincial price variation became smaller for almost all targeted medicines, except rituximab; for 11 out of 23 non-targeted medicines, provincial price variations became larger. During the study period, the proportion of price-increased medicines in each province was geographically correlated, and no significant relationship between prices and GDP per capita was observed for both targeted and non-targeted anticancer medicines. Conclusion: The prices and regional disparity of most targeted anticancer medicines were decreasing, while for nearly half of the non-targeted anticancer medicines, the prices were increasing and the regional disparity became wider, which may lead to compromised access to these essential anticancer medicines and raise inequity health outcome among regions.

Global, regional, and national burden of infertility attributable to PCOS, 1990-2019.

STUDY QUESTION: What is the current burden of infertility attributable to PCOS at global, regional, and national levels by age and socio-demographic index (SDI) across 21 regions and 204 countries and territories? SUMMARY ANSWER: The burden of infertility attributable to PCOS increased from 6.00 million prevalent cases in 1990 to 12.13 million in 2019 globally and increased sharply in most regions and nations. WHAT IS KNOWN ALREADY: PCOS is the most common cause of anovulatory infertility, affecting up to 80% of women with anovulation. No comprehensive and detailed epidemiological estimates of infertility attributable to PCOS in reproductive women aged 15-49 years by age and SDI, at the global, regional, and national level, have been reported. STUDY DESIGN, SIZE, DURATION: An age- and SDI-stratified systematic analysis of the prevalence and years lived with disability (YLD) of infertility attributable to PCOS across 21 regions and 204 countries and territories from 1990 to 2019 has been performed. PARTICIPANTS/MATERIALS, SETTING, METHODS: The prevalence and YLD of female infertility attributable to PCOS in reproductive women aged 15-49 years from 1990 to 2019 were retrieved directly from the Global Burden of Diseases 2019. The number, rates per 100 000 persons, and average annual percentage changes (AAPCs) of prevalence and YLD were estimated at the global, regional, and national levels. MAIN RESULTS AND THE ROLE OF CHANCE: Globally, the prevalent cases of infertility attributable to PCOS among women of reproductive age (15-49 years) doubled from 1990 to 2019, with 6.00 million prevalent cases in 1900 and 12.13 million in 2019. The global age-standardized prevalence rates (ASPRs) of infertility attributable to PCOS were 223.50/100 000 persons in 1990 and 308.25/100 000 persons in 2019. At global level, the YLDs of infertility attributable to PCOS increased by 98.0% from 35.20 thousand in 1990 to 69.70 thousand in 2019. The burden of infertility attributable to PCOS in the high SDI region was significantly higher than that in the other four SDI regions. The greatest annual increases in rates of ASPR and age-standardized YLD rate were observed in the middle SDI region (AAPC 1.96 [95% CI 1.87-2.06], 1.94 [1.87-2.00], respectively) and the low-middle SDI region (AAPC 1.96 [1.90-2.03], 1.90 [1.85-1.94], respectively). The regional highest ASPR and the age-standardized YLD rate of infertility were observed in High-income Asia Pacific. The national highest ASPR and the age-standardized YLD rate of infertility were observed in Italy. Positive associations were observed between these burden estimates and the SDI level (all P < 0.001). LIMITATIONS, REASONS FOR CAUTION: Although the Global Burden of Diseases 2019 has tried its best to collect all available data, some countries have limited data, which may result in an underestimation of the burden of infertility attributable to PCOS. The diagnostic criteria of PCOS are constantly changing, which may induce bias in infertility attributable to PCOS. No information on the PCOS phenotype is provided in the Global Burden of Diseases 2019, so we cannot estimate the infertility attributable to a specific PCOS phenotype. Detection bias would lead to a higher prevalence of PCOS and infertility attributable to PCOS in developed countries with well-established medical systems and greater willingness of the populace to seek medical attention. Thus, health resource allocation for infertility attributable to PCOS in low-prevalence areas should not be ignored. WIDER IMPLICATIONS OF THE FINDINGS: The global burden of infertility attributable to PCOS increased sharply from 1990 to 2019. Effective health interventions and efficient preventative and managerial strategies should be established to reduce the burden of infertility attributable to PCOS. Weight control is suggested to reduce the burden of infertility attributable to PCOS, especially in the high SDI region. STUDY FUNDING/COMPETING INTEREST(S): This study was supported by the National Key Research and Development Program of China (grant number, 2022YFC2704100) and the National Natural Science Foundation of China (Nos 82001498 and 82371648). The authors declare no competing interests. TRIAL REGISTRATION NUMBER: N/A.

Acetabular Diameter Assessment and Three-Dimensional Simulation for Acetabular Reconstruction in Dysplastic Hips.

BACKGROUND: This study aimed to investigate the relationship between acetabular width, three-dimensional (3D) simulation, and surgical results in total hip arthroplasty patients who have developmental dysplasia of the hip (DDH). METHODS: This retrospective study included 216 DDH cases. Inner and outer acetabular width (OAW) was measured at the plane passing through the center of acetabular fossa. 3D simulation and 2D standard templating were performed. The actual cup size and the use of augments during surgery were recorded. Association among the indices and their distribution in different types of DDH were analyzed. RESULTS: A difference of 13 to 14 millimeters (mm) was found between the inner acetabular width and actual cup size used in type II, III, and IV cases, while the difference was 0.2 to 3.6 mm for OAW. The accuracy of 2D templating and 3D simulation in predicting cup size was comparable in Crowe type I (86.5 versus 76%, P = .075), type II (72.7 versus 51.5%, P = .127), and type III (93.3 versus 66.7%, P = .169). The 3D simulation was significantly more accurate in Crowe type IV (89.1% versus 60.9%, P = .001). Augments and bone grafts were significantly more commonly used in type II (25%) than in the other types (0 to 6.5%). CONCLUSION: OAW more accurately predicted actual cup size than inner acetabular width. The supero-lateral acetabular bone defects in type II cases require additional attention. Compared with 2D templating, 3D simulation is more accurate in predicting actual cup size in dysplastic hips with severe deformity and may be recommended in these selected cases, especially for Crowe IV patients.

Evaluating the Consistency of Current Mainstream Wearable Devices in Health Monitoring: A Comparison Under Free-Living Conditions.

BACKGROUND: Wearable devices are gaining increasing market attention; however, the monitoring accuracy and consistency of the devices remains unknown. OBJECTIVE: The purpose of this study was to assess the consistency of the monitoring measurements of the latest wearable devices in the state of normal activities to provide advice to the industry and support to consumers in making purchasing choices. METHODS: Ten pieces of representative wearable devices (2 smart watches, 4 smart bracelets of Chinese brands or foreign brands, and 4 mobile phone apps) were selected, and 5 subjects were employed to simultaneously use all the devices and the apps. From these devices, intact health monitoring data were acquired for 5 consecutive days and analyzed on the degree of differences and the relationships of the monitoring measurements ​​by the different devices. RESULTS: The daily measurements by the different devices fluctuated greatly, and the coefficient of variation (CV) fluctuated in the range of 2-38% for the number of steps, 5-30% for distance, 19-112% for activity duration, .1-17% for total energy expenditure (EE), 22-100% for activity EE, 2-44% for sleep duration, and 35-117% for deep sleep duration. After integrating the measurement data of 25 days among the devices, the measurements of the number of steps (intraclass correlation coefficient, ICC=.89) and distance (ICC=.84) displayed excellent consistencies, followed by those of activity duration (ICC=.59) and the total EE (ICC=.59) and activity EE (ICC=.57). However, the measurements for sleep duration (ICC=.30) and deep sleep duration (ICC=.27) were poor. For most devices, there was a strong correlation between the number of steps and distance measurements (R2>.95), and for some devices, there was a strong correlation between activity duration measurements and EE measurements (R2>.7). A strong correlation was observed in the measurements of steps, distance and EE from smart watches and mobile phones of the same brand, Apple or Samsung (r>.88). CONCLUSIONS: Although wearable devices are developing rapidly, the current mainstream devices are only reliable in measuring the number of steps and distance, which can be used as health assessment indicators. However, the measurement consistencies of activity duration, EE, sleep quality, and so on, are still inadequate, which require further investigation and improved algorithms.