Objective:To describe the trend of changes in the disease burden of age-related hearing loss in China and globally from 1990 to 2021,to forecast the prevalence and years lived with disability(YLD)rates of age-related hearing loss from 2022 to 2036,and to provide a reference for the prevention and control of the disease burden associated with age-related hearing loss.Methods:Using the Global Burden of Disease 2021(GBD2021)data,this study selected age-standardized prevalence rate(ASPR)and YLD as indicators.The disease burden and long-term trends of age-related hearing loss in China and globally from 1990 to 2021 were described by different socio-demographic index(SDI)and gender.Joinpoint regression was used to calculate the average annual percent change(AAPC)to assess the trend changes in the disease burden.Decomposition analysis was applied to explore the relative im-pacts of aging,population growth,and epidemiological changes on the variation in disease burden.An autoregressive integrated moving average(ARIMA)model was used to forecast the age-standardized pre-valence rate and YLD rates from 2022 to 2036.Results:The prevalence of age-related hearing loss in China in 2021 was 82 162.49(73 288.08-89 187.21)per 100 000,higher than the global SDI level of 66 238.16(59 982.54-72 669.82)per 100 000,the high SDI region's level of 57 650.42(52 059.12-63 889.02)per 100 000,the upper-middle SDI region's level of 69 115.59(62 494.18-75 340.64)per 100 000,the middle SDI region's level of 72 365.56(65 181.43-78 912.01)per 100 000,the lower-middle SDI region's level of 64 439.66(58 368.22-71 468.27)per 100 000,and the low SDI region's level of 61 725.25(55 749.18-68 477.67)per 100 000.The age-related hearing loss YLD rate in China was 2 762.98[95％uncertainty interval(UI):1 855.28-3 880.68]per100000,higher than the global SDI level of 2 236.75(95％UI:1 511.56-3 155.88)per 100 000,the high SDI region's level of 1 805.79(95％UI:1 212.69-2 577.17)per 100 000,the upper-middle SDI re-gion's level of 2 316.58(95％UI:1 557.53-3 274.87)per 100 000,the middle SDI region's level of 2 480.99(95％UI:1 678.17-3 489.24)per 100 000,the lower-middle SDI region's level of 2 313.28(95％UI:1 578.35-3 271.50)per 100 000,and the low SDI region's level of 2 383.55(95％UI:1 623.66-3 365.68)per 100 000.From 1990 to 2021,both the prevalence and YLD rate of age-related hearing loss in China showed an increasing trend,rising by an average of 0.18％(95％CI:0.16％-0.19％)and 0.29％(95％CI:0.27％-0.30％)per year,respectively.The rates of in-crease in prevalence were the same for both men and women,with men showing a 0.18％increase(95％CI:0.17％-0.19％,P＜0.001)and women showing a 0.18％increase(95％CI:0.16％-0.19％,P＜0.001).However,the YLD rate increase was faster in men than in women,with men experiencing a 0.32％increase(95％CI:0.27％-0.37％,P＜0.001)and women experiencing a 0.27％increase(95％CI:0.26％-0.28％,P＜0.001).Decomposition analysis showed that population growth was the main factor driving the increase in prevalence and YLD rate globally and across different SDI regions.However,aging was the primary factor contributing to the increase in prevalence and YLD rate in China.ARIMA model predictions suggested that the prevalence and YLD rate of age-related hearing loss would continue to rise from 2022 to 2036,with the predicted prevalence and YLD rate in 2036 reaching 89 723.99 per 100 000 and 2 872.47 per 100 000,respectively.Conclusion:The prevalence and disease burden of age-related hearing loss in individuals aged 60 and above in China rank first globally.From 1990 to 2021,both the prevalence and YLD rate of age-related hearing loss have shown a continuous upward trend,consistently surpassing the levels observed in various SDI regions worldwide.The prevalence and disease burden of age-related hearing loss are particularly significant among elderly men.Moreover,projections indicate that the disease burden of age-related hearing loss will continue to rise over the next 15 years.Therefore,it is urgent to pay close attention to age-related hearing loss in this specific population,and early intervention measures are crucial to reduce the disease burden associated with age-related hearing loss.

Objective:To evaluate the clinical value of 11C-methyl- L-methionine (MET) PET/MR in the differential diagnosis between neoplastic and non-neoplastic brain lesions. Methods:From July 2017 to May 2022, a total of 34 patients (19 males, 15 females, age 8-81 years) who received 11C-MET PET/MR imaging for suspected brain tumors in Union Hospital, Tongji Medical College, Huazhong University of Science and Technology were retrospectively enrolled. Postoperative pathological or clinical follow-up results were used as the gold standard. Diagnostic performance of 11C-MET PET/MR and contrast-enhanced MRI was evaluated by ROC curve analysis and Delong test, as well as the diagnostic performance of PET metabolic parameters (SUV and target to background ratio (TBR)), MRI multi-sequence parameters (cerebral blood flow (CBF), relative CBF (rCBF), apparent diffusion coefficient (ADC), relative ADC (rADC), choline/creatine (Cho/Cr) and choline/ N-acetylaspartate (Cho/NAA)) and their combination. Results:A total of 35 lesions of 34 patients were enrolled, including 12 (34.3%) non-neoplastic lesions and 23(65.7%) neoplastic lesions. The diagnostic sensitivity, specificity, and accuracy for 11C-MET PET/MR were 91.3%(21/23), 12/12, and 94.3%(33/35), in contrast to 16/18, 2/10, and 64.3%(18/28) for contrast-enhanced MRI. Maximum TBR (TBR max) showed the highest discriminative value (AUC=0.877, 95% CI: 0.692-1.000). The combination of TBR max, minimum ADC (ADC min), rCBF, and Cho/NAA could achieve a higher diagnostic performance (AUC=0.918, 95% CI: 0.816-1.000), although the difference was not statistically significant ( Z=-0.42, P=0.676). Conclusion:Multiple quantitative parameters of 11C-MET PET/MR are beneficial to distinguish neoplastic from non-neoplastic brain lesions, and their combination may improve the diagnostic confidence.

Objective To compare the long-term prognosis of elderly patients with stageⅠnon-small cell lung cancer (NSCLC) after lobectomy or segmentectomy. Methods Data of elderly patients with stageⅠNSCLC between 2010 and 2020 were collected from the SEER database. According to the resection method, patients were divided into a lobectomy group and a segmentectomy group. The overall survival (OS) and lung cancer-specific survival (LCSS) of the two groups were compared by propensity score matching (lobectomy : segmentectomy=2 : 1). Results A total of 9990 patients were included, including 5840 (58.46%) females and 4150 (41.54%) males, with an average age of (70.48±6.47) years. Among them, 9029 patients were in the lobectomy group and 961 patients were in the segmentectomy group. After propensity score matching, a total of 2883 patients were matched, including 1 922 patients in the lobectomy group and 961 patients in the segmentectomy group. There was no statistical difference in baseline data between the two groups (P>0.05). The 10-year OS rate and LCSS rate of the lobectomy group were higher than those of the segmentectomy group (OS: 51.15% vs. 38.35%, P<0.01; LCSS: 79.68% vs. 71.52%, P<0.01). Subgroup analysis showed that the survival advantage of lobectomy was found in patients aged 60-<70 years and ≥80 years; for patients 70-<80 years, there was no statistical difference in OS or LCSS between the two surgical methods (P>0.05). In addition, for patients with tumor diameter ≤2 cm (stages ⅠA1-ⅠA2), lymph node dissection number≥10, and receiving adjuvant radiotherapy/chemotherapy, segmentectomy could also achieve a similar prognosis as lobectomy. Conclusion Overall, for elderly patients with stage ⅠNSCLC, lobectomy can achieve better OS and LCSS. However, individual differences, tumor characteristics, and perioperative treatment plans should be considered comprehensively to determine the surgical method for elderly patients with stageⅠNSCLC.

Senile osteoporosis is a growing public health challenge with significant impacts on the daily life of the elderly population as a result of its hidden nature,high prevalence,and high risk of disability.Suitable animal models that simulate senile osteoporosis are crucial for understanding its pathological mechanism and to facilitate the development of anti-osteoporosis drugs and identify new therapeutic targets.This review considers the most commonly used method for creating animal models of senile osteoporosis,analyzes their advantages and limitations,and discusses research progress in animal models in terms of evaluation indicators,to provide references for research using animal models of senile osteoporosis.

Senile osteoporosis is a growing public health challenge with significant impacts on the daily life of the elderly population as a result of its hidden nature,high prevalence,and high risk of disability.Suitable animal models that simulate senile osteoporosis are crucial for understanding its pathological mechanism and to facilitate the development of anti-osteoporosis drugs and identify new therapeutic targets.This review considers the most commonly used method for creating animal models of senile osteoporosis,analyzes their advantages and limitations,and discusses research progress in animal models in terms of evaluation indicators,to provide references for research using animal models of senile osteoporosis.

Objective:To describe the trend of changes in the disease burden of age-related hearing loss in China and globally from 1990 to 2021,to forecast the prevalence and years lived with disability(YLD)rates of age-related hearing loss from 2022 to 2036,and to provide a reference for the prevention and control of the disease burden associated with age-related hearing loss.Methods:Using the Global Burden of Disease 2021(GBD2021)data,this study selected age-standardized prevalence rate(ASPR)and YLD as indicators.The disease burden and long-term trends of age-related hearing loss in China and globally from 1990 to 2021 were described by different socio-demographic index(SDI)and gender.Joinpoint regression was used to calculate the average annual percent change(AAPC)to assess the trend changes in the disease burden.Decomposition analysis was applied to explore the relative im-pacts of aging,population growth,and epidemiological changes on the variation in disease burden.An autoregressive integrated moving average(ARIMA)model was used to forecast the age-standardized pre-valence rate and YLD rates from 2022 to 2036.Results:The prevalence of age-related hearing loss in China in 2021 was 82 162.49(73 288.08-89 187.21)per 100 000,higher than the global SDI level of 66 238.16(59 982.54-72 669.82)per 100 000,the high SDI region's level of 57 650.42(52 059.12-63 889.02)per 100 000,the upper-middle SDI region's level of 69 115.59(62 494.18-75 340.64)per 100 000,the middle SDI region's level of 72 365.56(65 181.43-78 912.01)per 100 000,the lower-middle SDI region's level of 64 439.66(58 368.22-71 468.27)per 100 000,and the low SDI region's level of 61 725.25(55 749.18-68 477.67)per 100 000.The age-related hearing loss YLD rate in China was 2 762.98[95％uncertainty interval(UI):1 855.28-3 880.68]per100000,higher than the global SDI level of 2 236.75(95％UI:1 511.56-3 155.88)per 100 000,the high SDI region's level of 1 805.79(95％UI:1 212.69-2 577.17)per 100 000,the upper-middle SDI re-gion's level of 2 316.58(95％UI:1 557.53-3 274.87)per 100 000,the middle SDI region's level of 2 480.99(95％UI:1 678.17-3 489.24)per 100 000,the lower-middle SDI region's level of 2 313.28(95％UI:1 578.35-3 271.50)per 100 000,and the low SDI region's level of 2 383.55(95％UI:1 623.66-3 365.68)per 100 000.From 1990 to 2021,both the prevalence and YLD rate of age-related hearing loss in China showed an increasing trend,rising by an average of 0.18％(95％CI:0.16％-0.19％)and 0.29％(95％CI:0.27％-0.30％)per year,respectively.The rates of in-crease in prevalence were the same for both men and women,with men showing a 0.18％increase(95％CI:0.17％-0.19％,P＜0.001)and women showing a 0.18％increase(95％CI:0.16％-0.19％,P＜0.001).However,the YLD rate increase was faster in men than in women,with men experiencing a 0.32％increase(95％CI:0.27％-0.37％,P＜0.001)and women experiencing a 0.27％increase(95％CI:0.26％-0.28％,P＜0.001).Decomposition analysis showed that population growth was the main factor driving the increase in prevalence and YLD rate globally and across different SDI regions.However,aging was the primary factor contributing to the increase in prevalence and YLD rate in China.ARIMA model predictions suggested that the prevalence and YLD rate of age-related hearing loss would continue to rise from 2022 to 2036,with the predicted prevalence and YLD rate in 2036 reaching 89 723.99 per 100 000 and 2 872.47 per 100 000,respectively.Conclusion:The prevalence and disease burden of age-related hearing loss in individuals aged 60 and above in China rank first globally.From 1990 to 2021,both the prevalence and YLD rate of age-related hearing loss have shown a continuous upward trend,consistently surpassing the levels observed in various SDI regions worldwide.The prevalence and disease burden of age-related hearing loss are particularly significant among elderly men.Moreover,projections indicate that the disease burden of age-related hearing loss will continue to rise over the next 15 years.Therefore,it is urgent to pay close attention to age-related hearing loss in this specific population,and early intervention measures are crucial to reduce the disease burden associated with age-related hearing loss.

Objective:To evaluate the clinical value of 11C-methyl- L-methionine (MET) PET/MR in the differential diagnosis between neoplastic and non-neoplastic brain lesions. Methods:From July 2017 to May 2022, a total of 34 patients (19 males, 15 females, age 8-81 years) who received 11C-MET PET/MR imaging for suspected brain tumors in Union Hospital, Tongji Medical College, Huazhong University of Science and Technology were retrospectively enrolled. Postoperative pathological or clinical follow-up results were used as the gold standard. Diagnostic performance of 11C-MET PET/MR and contrast-enhanced MRI was evaluated by ROC curve analysis and Delong test, as well as the diagnostic performance of PET metabolic parameters (SUV and target to background ratio (TBR)), MRI multi-sequence parameters (cerebral blood flow (CBF), relative CBF (rCBF), apparent diffusion coefficient (ADC), relative ADC (rADC), choline/creatine (Cho/Cr) and choline/ N-acetylaspartate (Cho/NAA)) and their combination. Results:A total of 35 lesions of 34 patients were enrolled, including 12 (34.3%) non-neoplastic lesions and 23(65.7%) neoplastic lesions. The diagnostic sensitivity, specificity, and accuracy for 11C-MET PET/MR were 91.3%(21/23), 12/12, and 94.3%(33/35), in contrast to 16/18, 2/10, and 64.3%(18/28) for contrast-enhanced MRI. Maximum TBR (TBR max) showed the highest discriminative value (AUC=0.877, 95% CI: 0.692-1.000). The combination of TBR max, minimum ADC (ADC min), rCBF, and Cho/NAA could achieve a higher diagnostic performance (AUC=0.918, 95% CI: 0.816-1.000), although the difference was not statistically significant ( Z=-0.42, P=0.676). Conclusion:Multiple quantitative parameters of 11C-MET PET/MR are beneficial to distinguish neoplastic from non-neoplastic brain lesions, and their combination may improve the diagnostic confidence.

Chaihu Guizhi Decoction is an excellent prescription of ZHANG Zhongjing;however,nowadays the application of Chaihu Guizhi Decoction is primarily derived from the text.The xiang thinking is the source of traditional Chinese medicine thinking.Understanding Chaihu Guizhi Decoction from the xiang thinking,it is easy to perceive the true meaning of ZHANG Zhongjing,and grasp the location of the disease and the patient's overall qi,so as to make better use of this formula.This article discusses the understanding of Chaihu Guizhi Decoction from five perspectives:firstly,it gives an overview of the xiang thinking,pointing out the source and essential value of the xiang thinking;secondly,it analyses the disease position and the patient's qi of Chaihu Guizhi Decoction under the perspective of the xiang thinking as a whole;thirdly,it discusses the disease position and the patient's qi of the original text of Chaihu Guizhi Decoction from the xiang thinking;fourthly,it discusses how to understand the principle of formula formation and the main and minor parts of Chaihu Guizhi Decoction by xiang thinking;finally,it analyses the primary medicines in Chaihu Guizhi Decoction by using xiang thinking based on the records of Shennong Bencao Jing.Based on these five points,we hope to reveal the traditional Chinese medicine thinking behind Chaihu Guizhi Decoction,and provide new ideas for the clinical application of Chaihu Guizhi Decoction.

Objective To investigate the value of CT imaging texture analysis in predicting simplified pathological types of thymic epithelial tumors(TETs).Methods The CT data from 114 patients with TETs confirmed by surgical or pathology were analyzed retrospectivel,and the types of TETs were divided into three groups,including low-risk thymoma(LRT)group,high-risk thymoma(HRT)group,and thymic carcinoma(TC)group.First,the texture parameters of CT images were extracted,and then the weighted Rad-score values were obtained,and the predictive performance of the texture features was evaluated by using the receiver operating characteristic(ROC)curve.Results There were 114 TETs patients,including 45 patients with LRT,44 patients with HRT,and 25 patients with TC.Based on CT imaging texture analysis,the area under the curve(AUC)in differentiating LRT and HRT or TC via CT plain scan,arterial phase,and venous phase were 0.776,0.885,and 0.761,respectively.In differentiating HRT from TC,the AUC of CT plain scan,arterial phase,and venous phase were 0.828,0.808,and 0.804,respectively.In differentiating thymoma from TC,the AUC of CT plain scan,arterial phase,and venous phase were 0.808,0.769,and 0.774,respectively.Conclusion CT imaging texture analysis can serve as an effective auxiliary tool for predicting the simplified pathological types of TETs,helping to develop personal-ized treatment plans for TETs patients.CT enhanced scanning of arterial phase texture parameters has the highest differential diag-nostic efficiency.

BackgroundAlcohol use disorder （AUD） is a common chronic and relapsing psychiatric disorders. Identifying severe AUD early and intervening promptly is crucial to prevent irreversible harm. Currently， the assessment of AUD severity primarily relies on psychiatric examination by clinicians， and there is limited research on the factors influencing AUD severity and the development of prediction models. ObjectiveTo analyze the factors influencing AUD severity， and construct a risk prediction model to aid in the assessment of disease progression in AUD patients. MethodsA retrospective analysis was conducted on 1 358 first-time hospitalized patients admitted to Nanning Fifth People's Hospital from January 1， 2017 to December 31， 2022. These patients met the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） criteria for AUD. Basic patient data was collected， and the patients were divided into two groups based on disease severity： mild-moderate group （n=330） and severe group （n=1 028）. The patients were randomly divided into training and test sets in a 7∶3 ratio. A Logistic regression model was constructed in the training set， and the predictive ability of the model for disease severity was evaluated using the receiver operating characteristic （ROC） curve in the test set. ResultsCompared with the mild-moderate group， the severe group had a higher proportion of patients living in urban areas （χ²=7.804）， were farmers （χ²=17.991）， had a higher frequency of alcohol consumption （more than 1 to 2 drinks/day） （χ²=35.267）， had a higher age at first drinking （t=-3.858）， had a greater number of comorbid somatic disorders （Z=-22.782）， and had higher proportions of γ-Glutamyl transpeptidase （χ²=259.940） and total bilirubin abnormalities （χ²=148.552） （P<0.01）. Logistic analysis conducted in the training set showed that being a farmer （OR=2.024， 95% CI： 1.352~3.029）， having an older age at first drinking （OR=1.075， 95% CI： 1.025~1.129）， drinking outside of mealtimes （OR=3.988， 95% CI： 2.408~6.606）， having total bilirubin abnormalities （OR=1.034， 95% CI： 1.000~1.069）， and having more comorbid somatic diseases （OR=4.386， 95% CI： 2.636~7.298） were identified as risk factors for disease severity in AUD patients. The area under curve （AUC） for this model in the test set was 0.906. ConclusionIn psychiatric hospitals， being a farmer， having an older age at first drinking， drinking outside of mealtimes， having abnormal total bilirubin levels， and having comorbidities with somatic illnesses may be risk factors for severe AUD.