AIM: To compare the changes of corneal refractive power before and after wearing defocus rigid gas permeable contact lens(RGPCL)in children with high myopia, and to analyze its influence on corneal refractive power and astigmatism after wearing glasses.METHODS: Self-controlled before-after study. A total of 30 cases(60 eyes)of children aged 8-12, with high myopia who were treated and fitted with defocus RGPCL in the Optometry Center of Xi'an First Hospital from June 2019 to June 2020 were collected. Using TMS-4N corneal topography instrument to measure the corneal tangential refractive power at baseline and wearing lens for 0.5 and 1a, and analyze the nasal side(N), temporal side(T), superior(S)and inferior(I)of the maximum corneal refractive power values at the 4 axial directions and the changes of the corneal refractive power at the center were collected at the same time at 1 mm intervals. The changes of corneal refractive power at each point before and after wearing glasses were analyzed. The axial length, diopter and corneal topography were required to be measured after 0.5 and 1a, and the changes in axial length, spherical equivalent, astigmatism and corneal refraction compared with baseline were analyzed.RESULTS: The maximum corneal refractive power of nasal(N), temporal(T), superior(S)and inferior(I)side was significantly increased at 0.5 and 1a when wearing defocus RGPCL compared with that before wearing glasses, which all showed positive relative refractive power compared with the corneal refractive power at center and was significantly different from the negative relative refractive power before wearing lenses. The relative peripheral refractive power of the cornea changed in the direction of positive refractive power when the lenses were worn for 0.5 and 1a. Except for the increase in the peripheral negative refractive power at the T1 point, the peripheral refractive power at all points in the other axes increased significantly. After wearing for 0.5a, the corneal steep K value became flat by 0.11±0.10D, the simK value decreased by 0.20±0.18D, the corneal steep K value became flat by 0.10±0.12D after 1a, the average K value became flat by 0.02±0.05D, and the simK value decreased by 0.16±0.13D. There was no significant difference in corneal level K from the baseline after wearing glasses for 0.5 and 1a.CONCLUSIONS: The maximum refractive power of the cornea in the state of wearing defocus RGPCL is positive relative refractive power compared with the vertex of cornea, and the relative peripheral negative refractive power of the cornea at each point on the 4 axes changes from negative value to positive value. Within 1a of wearing glasses, the axial length and spherical equivalent increased compared with the baseline, while the amount of astigmatism decreased, and the corneal refractive power showed a trend of steep K and flattening.

Objective: To forecast mortality, age-standardized mortality, and probability of premature mortality from diabetes, and to simulate the impact of controlling risk factors by 2030 in China. Methods: We simulated the burden of disease from diabetes in six scenarios according to the development goals of risk factors control by the WHO and Chinese government. Based on the theory of comparative risk assessment and the estimates of the burden of disease for China from the Global Burden of Disease Study 2015, we used the proportional change model to project the number of deaths, age-standardized mortality, and probability of premature mortality from diabetes under different scenarios of risk factors control in 2030. Results: If the trends in exposures to risk factors from 1990 to 2015 continued. Mortality, age-standardized mortality, and probability of premature mortality from diabetes would increase to 32.57/100 000, 17.32/100 000, and 0.84% by 2030, respectively. During that time, mortality, age-standardized mortality and probability of premature mortality for males would all be higher than for females. If the goals of controlling risk factors were all achieved, the number of deaths from diabetes in 2030 would decrease by 62.10% compared to the predicted numbers based on the historical trends in exposure to risk factors, and the probability of premature mortality would drop to 0.29%. If only the exposure to a single risk factor were achieved by 2030, high fasting plasma glucose control would have the greatest impact on diabetes, resulting in a 56.00% reduction in deaths compared to the predicted numbers based on the historical trends, followed by high BMI (4.92%), smoking (0.65%), and low physical activity (0.53%). Conclusions: Risk factors control plays an important role in reducing the number of deaths, age-standardized mortality rate, and probability of premature mortality from diabetes. We suggest taking comprehensive measures to control relevant risk factors for certain populations and regions, to achieve the goal of reducing the burden of disease from diabetes as expected.
Male ; Female ; Humans ; Risk Factors ; Diabetes Mellitus/epidemiology* ; Mortality, Premature ; Smoking ; Cost of Illness ; China/epidemiology* ; Global Burden of Disease

Objective: To investigate the relationship between hemoglobin and serum uric acid in adults with various glucose metabolism status. Methods: The demographic data and biochemical indicators of the adult population who had received physical examination in the Second Medical Center of the PLA General Hospital from January 2018 to December 2021 were collected. The subjects were divided into two groups according to the level of serum uric acid: the normal uric acid group and the hyperuricemia group. The relationship between hemoglobin (stratified into four levels of Q₁ to Q₄ by the quartile) and serum uric acid was quantified by using Pearson correlation and logistic regression analysis. The effects of age and glucose metabolism status on the relationship between hemoglobin and serum uric acid were analyzed. Results: A total of 33 183 adults were enrolled with age (50.6±10.0) years. The level of hemoglobin in the normal uric acid group (142.61±14.24) g/L was significantly lower than that in the hyperuricemia group [(151.79±11.24) g/L, P<0.001]. Univariate Pearson correlation analysis showed that hemoglobin was positively associated with serum uric acid (r=0.444, P<0.001). After adjusting for related confounding factors, multivariate logistic regression analysis showed that hemoglobin was associated with serum uric acid, and the OR values (95%CI) of hemoglobin Q₂ to Q₄ group were 1.29 (1.13-1.48), 1.42 (1.24-1.62) and 1.51 (1.32-1.72), respectively (P_trend<0.001) when compared with hemoglobin Q₁ group. Subgroup analysis and hierarchical interaction analysis suggested that with the increase of hemoglobin, the serum uric acid in the age<60 years subgroup, normal glucose subgroup and prediabetes subgroup increased gradually (P_trend<0.05 and P_interaction<0.001). Conclusion: The association between hemoglobin and serum uric acid in adults is affected by age and glucose metabolism status.
Humans ; Adult ; Middle Aged ; Uric Acid ; Hyperuricemia/epidemiology* ; Hemoglobins ; Prediabetic State ; Glucose ; Risk Factors

OBJECTIVES: To construct a Felis catus STR loci multiplex amplification system and to evaluate its application value by testing the technical performance. METHODS: The published Felis catus STR loci data were reviewed and analyzed to select the STR loci and sex identification loci that could be used for Felis catus individual identification and genetic identification. The fluorescent labeling primers were designed to construct the multiplex amplification system. The system was validated for sensitivity, accuracy, balance, stability, species specificity, tissue identity and mixture analysis, and investigated the genetic polymorphisms in 145 unrelated Felis catus samples. RESULTS: Sixteen Felis catus autosomal STR loci and one sex determining region of Y (SRY) were successfully selected, and constructed a multiplex amplification system containing the above loci. The complete profile of all alleles could still be obtained when the amount of DNA template was as low as 0.25 ng. There was no specific amplification peak in other common animal samples. Population genetic surveys showed that total discrimination power (TDP) of the 16 STR loci was 1-3.57×10^-20, the cumulative probability of exclusion (CPE) was 1-6.35×10^-5 and the cumulative probability of matching was 3.61×10^-20. CONCLUSIONS The Felis catus STR multiplex amplification system constructed in this study is highly sensitive, species-specific, and accurate in typing results, which can provide an effective solution for Felis catus species identification, individual identification and kinship identification in the field of forensic science.
Alleles ; Animals ; Cats/genetics* ; Chromosomes, Human, Y ; DNA Fingerprinting/methods* ; DNA Primers ; Humans ; Microsatellite Repeats/genetics* ; Polymerase Chain Reaction/methods* ; Polymorphism, Genetic

This study reviewed the concepts and properties of the receiver operating characteristic (ROC) curve and precision recall (PR) curve, and made suggestions on the application of two curves based on the prevalence in combination with the results of simulation data. This study demonstrated that the ROC curve and PR curve had different properties, which could reflect the performance of diagnostic methods from various aspects. These two curves should be selected with a consideration of prevalence and clinical scenarios. When the prevalence was less than 20%, especially less than 5%, the PR curve could be adopted.
Diagnostic Techniques and Procedures ; Humans ; Prevalence ; ROC Curve

Transparency Ecosystem for Research and Journals in Medicine (TERM) working group summarized the essential recommendations that should be considered to review and publish a high-quality guideline. These recommendations from editors and reviewers included 10 components of essential requirements: systematic review of existing relevant guidelines, guideline registration, guideline protocol, stakeholders, conflicts of interest, clinical questions, systematic reviews, recommendation consensus, guideline reporting and external review. TERM working group abbreviates them as PAGE (essential requirements for Publishing clinical prActice GuidelinEs), and recommends guideline authors, editors, and peer reviewers to use them for high-quality guidelines.
Humans ; Practice Guidelines as Topic

OBJECTIVE: To explore the relationship between sleep habits (sleep duration, sleep efficiency, sleep onset timing) and ischemic stroke, and whether there is an interaction between sleep habits and ischemic stroke susceptibility gene loci. METHODS: A questionnaire survey, physical examination, blood biochemical testing and genotyping were conducted among rural residents in Beijing, and the gene loci of ischemic stroke suggested by previous genome-wide association studies (GWAS) were screened. Multivariable generalized linear model was used to analyze the correlation between sleep habits, sleep-gene interaction and ischemic stroke. RESULTS: A total of 4 648 subjects with an average age of (58.5±8.7) years were enrolled, including 1 316 patients with ischemic stroke. Compared with non-stroke patients, stroke patients with sleep duration ≥9 hours, sleep efficiency < 80%, and sleep onset timing earlier than 22:00 accounted for a higher proportion (P < 0.05). There was no significant association between sleep duration and risk of ischemic stroke (OR=1.04, 95%CI: 0.99-1.10, P=0.085). Sleep efficiency was inversely associated with the risk of ischemic stroke (OR=0.18, 95%CI: 0.06-0.53, P=0.002). The risk of ischemic stroke in the subjects with sleep efficiency < 80% was 1.47-fold (95%CI: 1.03-2.10, P=0.033) of that in the subjects with sleep efficiency ≥80%. Falling asleep earlier than 22:00 was associated with 1.26 times greater risk of stroke than falling asleep between 22:00 and 22:59 (95%CI: 1.04-1.52, P=0.017). Multifactorial adjustment model showed that rs579459 on ABO gene had an interaction with sleep time (P for interaction =0.040). When there were two T alleles for rs579459 on the ABO gene, those who fell asleep before 22:00 had 1.56 times (95%CI: 1.20-2.04, P=0.001) the risk of stroke compared with those who fell asleep between 22:00 and 22:59, and there was no significant difference when the number of pathogenic alleles was 0 or 1. In the model adjusted only for gender, age and family structure, sleep duration and the number of T allele rs2634074 on PITX2 gene had an interaction with ischemic stroke (P for interaction=0.033). CONCLUSION Decreased sleep efficiency is associated with increased risk of ischemic stroke, and falling asleep earlier than 22:00 is associated with higher risk of ischemic stroke. Sleep onset timing interacted with rs579459 in ABO gene and the risk of ischemic stroke. Sleep duration and PITX2 rs2634074 may have a potential interaction with ischemic stroke risk.
Aged ; Genome-Wide Association Study ; Humans ; Ischemic Stroke ; Middle Aged ; Sleep/genetics* ; Stroke/genetics* ; Surveys and Questionnaires

Objective: Predictive models were used to evaluate the impact of common risk factors on the number of cardio-cerebrovascular deaths and the probability of premature death. Methods: Using the data for China estimated by the Global Burden of Disease study 2015 (GBD 2015), we calculated the population attribution fraction (PAF) of risk factors. The proportional change model was used to estimate the number of unattributable deaths by 2030, and to predict the number of deaths, mortality, standardized mortality and probability of premature death by 2030. Results: According to the natural change trend of risk factors from 1990 to 2015, the number of deaths and mortality would reach 6.12 million and 428.53/100 000 by 2030, with an increase of 59.92% and 52.87%. By 2030, the probability of premature death from cardio-cerebrovascular diseases among Chinese aged 30-70 years old would continue to decline, from 11.43% to 11.28% for men, and from 5.79% to 4.43% for women. If the goals of all included risk factors were reached by 2030, 2 289 200 cardio-cerebrovascular deaths would be avoided. If only the exposure to a single risk factor was achieved by 2030, blood pressure, total cholesterol, and fine particulate matter exposure were the three most important factors affecting cardio-cerebrovascular deaths, which would reduce 1 332 800, 609 100 and 306 800 deaths, respectively. Among the involved risk factors, the control of blood pressure would mostly decrease the number of deaths due to ischemic heart disease and hemorrhagic stroke, about 677 300 and 391 100 deaths, accordingly. Conclusion: The control of risk factors is of great significance in reducing deaths and probability of premature death due to cardio-cerebrovascular diseases. If the control targets of all risk factors could be achieved by 2030, the burden of cardio-cerebrovascular diseases would be reduced greatly.
Adult ; Aged ; Blood Pressure ; Cerebrovascular Disorders/epidemiology* ; China/epidemiology* ; Female ; Humans ; Male ; Middle Aged ; Mortality, Premature ; Risk Factors

Objective: To predict the number of deaths, standardized mortality and probability of premature mortality caused by malignant cancer in the context of risk factor control at different levels in China in 2030, and assess the possibility of achieving the target of reducing the probability of premature mortality of malignant cancer. Methods: According to the risk factor control standard for malignant cancer used both at home and abroad, the results of China from Global Burden of Disease Study 2015 were used to calculate the population attributable fraction of the risk factors. Based on the comparative risk assessment theory, the deaths of malignant cancer were classified as attributable deaths and un-attributable deaths. Proportional change model was used to predict risk factor exposure and un-attributable deaths of malignant cancer in the future, then the number of deaths, standardized mortality rate and probability of premature mortality of malignant cancer in 2030 was estimated. Data analyses were performed by using software R 3.6.1. Results: If the risk factor exposure level during 1990-2015 remains, the number of deaths, standardized mortality rate, and probability of premature mortality of malignant cancer would increase to 3.62 million, 153.96/100 000 and 8.92% by 2030, respectively. If the risk factor exposure control level meets the requirement, the probability of premature mortality from cancer in people aged 30-70 years would drop to 7.57% by 2030. Conclusions: The control of risk factor exposure will play an important role in reducing deaths, standardized mortality rate and probability of premature mortality of malignant cancer. But more efforts are needed to achieve the goals of Health China Action.
Adult ; Aged ; China/epidemiology* ; Cost of Illness ; Humans ; Middle Aged ; Mortality, Premature ; Neoplasms/epidemiology* ; Risk Factors

Objective: To forecast the burden of chronic obstructive pulmonary disease (COPD) in China by 2030 and evaluate the effectiveness of controlling risk factors based on the predictive model. Methods: Based on the relationship between the death of COPD and exposure to risk factors and the theory of comparative risk assessment, we used the estimates of the Global Burden of Disease Study 2015 (GBD2015) for China, targets for controlling risk factors, and proportion change model to project the number of deaths, standardized mortality rate, and probability of premature mortality from chronic respiratory diseases by 2030 in different scenarios and to evaluate the impact of controlling the included risk factors to the disease burden of COPD in 2030. Results: If the trends in exposure to risk factors from 1990 to 2015 continued, the number of deaths and the mortality for COPD would be 1.06 million and 73.85 per 100 000 population in China by 2030, respectively, with an increase of 15.81% and 10.69% compared to those in 2015. Compared to 2015, the age-standardized mortality rate would decrease by 38.88%, and the premature mortality would reduce by 52.73% by 2030. If the smoking rate and fine particulate matter (PM_2.5) concentration separately achieve their control targets by 2030, there would be 0.34 and 0.27 million deaths that could be avoided compared to the predicted numbers based on the natural trends in exposure to risk factors and the probability of premature death would reduce to 0.59% and 0.52%, respectively. If the control targets of all included risk factors were achieved by 2030, a total of 0.53 million deaths would be averted, and the probability of premature death would decrease to 0.44%. Conclusions: If the exposures to risk factors continued as showed from 1990 to 2015, the number of deaths and mortality for COPD would increase by 2030 compared to 2015, and the standardized mortality and the probability of premature death would decrease significantly, which would achieve the targets of preventing and controlling COPD. If the exposure to the included risk factors all achieved the targets by 2030, the burden of COPD would be reduced, suggesting that the control of tobacco use and air pollution should be enhanced to prevent and control COPD.
Air Pollutants/analysis* ; Air Pollution/prevention & control* ; China/epidemiology* ; Cost of Illness ; Environmental Exposure ; Humans ; Particulate Matter/analysis* ; Pulmonary Disease, Chronic Obstructive/prevention & control* ; Risk Factors