High myopia(HM)is one of the leading causes of irreversible visual impairment, characterized by pathological changes such as axial elongation and multidimensional abnormalities in fundus biometric parameters. This review systematically summarizes the dynamic characteristics of fundus biometric parameters(including those of the retina, optic disc, macula, and choroid)in HM patients, as visualized via multimodal imaging techniques [e.g., optical coherence tomography(OCT)and optical coherence tomography angiography(OCTA)], and their association with HM progression and related complications. The article further highlights the strategies and advantages of multimodal imaging integration and discusses recent advances and challenges in combining artificial intelligence(AI)with these imaging modalities to automate fundus parameter analysis, lesion detection, risk stratification, and clinical decision-making for HM. This review aims to provide an evidence-based foundation for the early warning, precise intervention, and personalized management of HM, thereby facilitating a clinical paradigm shift from “reactive treatment” to “active health management”.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

Objective:To explore the association between A Body Shape Index (ABSI) and sarcopenia in Chinese older adults.Methods:Totally 1 728 participants in waves 1 and 3 of the China Health and Retirement Longitudinal Survey (CHARLS) were enrolled in this cohort-based cross-sectional analysis. ABSI was calculated by using anthropometric measurements from CHARLS. According to the Asian Working Group for Sarcopenia (AWGS) 2019 consensus update on sarcopenia, low muscle strength and low muscle mass were used as the diagnostic criteria for sarcopenia. Logistic regression and restricted cubic spline (RCS) were used to assess the relationship between ABSI and sarcopenia, and subgroup and interaction analyses were conducted to evaluate the influence of other factors on this association.Results:High ABSI showed a significant association with the risk of sarcopenia among older adults in China, and RCS analysis demonstrated a positive linear correlation between ABSI and sarcopenia. Additionally, the relationship of ABSI with sarcopenia was significantly modified by educational level and depressive status.Conclusion:ABSI, a novel anthropometric measure, serves as an effective threshold for assessing sarcopenia risk in the Chinese older population, providing a basis for developing clinical interventions and public health strategies for the prevention and early identification of sarcopenia.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

Objective:To explore the association between A Body Shape Index (ABSI) and sarcopenia in Chinese older adults.Methods:Totally 1 728 participants in waves 1 and 3 of the China Health and Retirement Longitudinal Survey (CHARLS) were enrolled in this cohort-based cross-sectional analysis. ABSI was calculated by using anthropometric measurements from CHARLS. According to the Asian Working Group for Sarcopenia (AWGS) 2019 consensus update on sarcopenia, low muscle strength and low muscle mass were used as the diagnostic criteria for sarcopenia. Logistic regression and restricted cubic spline (RCS) were used to assess the relationship between ABSI and sarcopenia, and subgroup and interaction analyses were conducted to evaluate the influence of other factors on this association.Results:High ABSI showed a significant association with the risk of sarcopenia among older adults in China, and RCS analysis demonstrated a positive linear correlation between ABSI and sarcopenia. Additionally, the relationship of ABSI with sarcopenia was significantly modified by educational level and depressive status.Conclusion:ABSI, a novel anthropometric measure, serves as an effective threshold for assessing sarcopenia risk in the Chinese older population, providing a basis for developing clinical interventions and public health strategies for the prevention and early identification of sarcopenia.

Objective:To investigate the factors contributing to in-hospital mortality among elderly patients aged 80 and above with gastrointestinal bleeding(GIB).Additionally, it seeks to assess the predictive ability of the electronic frailty index(eFI)in determining the risk of in-hospital mortality in GIB patients.Methods:A retrospective analysis was performed among 624 patients aged 80 and above with GIB who were admitted to Beijing Hospital between July 2013 and September 2019.The patients were categorized into two groups based on their discharge outcomes: those who survived and those who did not.The eFI was developed using a cumulative deficit model utilizing data from the hospital's electronic medical records.The study examined the clinical features and risk factors associated with in-hospital mortality among these elderly patients.The effectiveness of eFI in predicting in-hospital mortality in elderly patients with gastrointestinal bleeding was evaluated by calculating the area under the curve(AUC)of the receiver operating characteristic(ROC)curve.Results:Among a total of 624 patients aged between 80 and 102 years, the average age was(83.0±6.4)years, with 339 being male.A majority of the patients, 581 cases(93.1%), had an eFI ≥ 0.15.A comparison between the survival group(380 cases)and the death group(244 cases)revealed that the latter had higher eFI values(0.39±0.09 vs.0.29±0.11, t=-11.452, P<0.001), along with higher rates of heart failure, chronic kidney disease, and malignant tumors, as well as lower body mass index, hemoglobin, albumin, and total cholesterol levels, and higher alanine aminotransferase and D-dimer levels(all P<0.05).Logistic regression analysis indicated that eFI( OR=2.322, 95% CI: 1.840-2.929, P<0.001), malignant tumor( OR=1.833, 95% CI: 1.141-2.860, P<0.001), and albumin<35 g/L( OR=1.826, 95% CI: 1.200-2.777, P<0.001)were independent risk factors for in-hospital death in elderly patients aged 80 and over with gastrointestinal bleeding.With every 0.1 increase in eFI, the risk of in-hospital death rose by 1.322 times.The AUC of eFI for predicting in-hospital mortality was 0.751(95% CI: 0.713-0.789, P<0.001).An eFI of ≥0.33 demonstrated a sensitivity of 77.9% and a specificity of 60.3% in predicting in-hospital mortality in elderly patients aged 80 and over with GIB. Conclusions:The eFI serves as an important independent risk factor for in-hospital mortality among patients aged 80 and above who experience GIB.It can effectively assess the prognosis of elderly individuals facing GIB.

Intestinal injury is a common adverse reaction of clinical chemotherapy drugs, which limits the further application of chemotherapy drugs and causes serious physical and mental burden to patients. At present, the mechanism of chemotherapy-induced intestinal injury is complex, and traditional Chinese medicine has an excellent preventive effect. This article reviews the related mechanisms of intestinal flora imbalance, oxidative stress, inflammatory response, cell apoptosis, and immune damage caused by chemotherapy, and summarizes the role of traditional Chinese medicine in prevention and treatment of oxidative stress, inflammatory response, cell apoptosis, and immune damage.

Objectives:To investigate the clinical and genetic features of young Chinese patients with myeloproliferative neoplasms (MPN) .Methods:In this cross-sectional study, anonymous questionnaires were distributed to patients with MPN patients nationwide. The respondents were divided into 3 groups based on their age at diagnosis: young (≤40 years) , middle-aged (41-60 years) , and elderly (>60 years) . We compared the clinical and genetic characteristics of three groups of MPN patients.Results:1727 assessable questionnaires were collected. There were 453 (26.2%) young respondents with MPNs, including 274 with essential thrombocythemia (ET) , 80 with polycythemia vera (PV) , and 99 with myelofibrosis. Among the young group, 178 (39.3%) were male, and the median age was 31 (18-40) years. In comparison to middle-aged and elderly respondents, young respondents with MPN were more likely to present with a higher proportion of unmarried status (all P<0.001) , a higher education level (all P<0.001) , less comorbidity (ies) , fewer medications (all P<0.001) , and low-risk stratification (all P<0.001) . Younger respondents experienced headache (ET, P<0.001; PV, P=0.007; MF, P=0.001) at diagnosis, had splenomegaly at diagnosis (PV, P<0.001) , and survey (ET, P=0.052; PV, P=0.063) . Younger respondents had fewer thrombotic events at diagnosis (ET, P<0.001; PV, P=0.011) and during the survey (ET, P<0.001; PV, P=0.003) . JAK2 mutations were found in fewer young people (ET, P<0.001; PV, P<0.001; MF, P=0.013) ; however, CALR mutations were found in more young people (ET, P<0.001; MF, P=0.015) . Furthermore, mutations in non-driver genes (ET, P=0.042; PV, P=0.043; MF, P=0.004) and high-molecular risk mutations (ET, P=0.024; PV, P=0.023; MF, P=0.001) were found in fewer young respondents. Conclusion:Compared with middle-aged and elderly patients, young patients with MPN had unique clinical and genetic characteristics.

ObjectiveTo analyze the sequence variation and genetic diversity of 47 Isatis indigotica germplasm materials， and carry out the study on the genetic differentiation and structure. MethodGenomic DNA of 47 I. indigotica germplasm materials were extracted by kit extraction method. Two chloroplast DNA （cp DNA） sequences and five inter-simple sequence repeat （ISSR） primers were used for amplification and sequencing. Chromas， Mega 7.0， DanSP5， and GenALEx were used to calibrate， splice， and analyze the sequence characteristics. PERMUT and PopGen 1.31 were used to analyze the genetic diversity parameters and genetic structure， and NTSYS was used to obtain the unweighted pair-group method with arithmetic means（UPGMA） clustering tree plot of 47 I. indigotica germplasm materials. ResultA total of 129 samples from 47 I. indigotica germplasm materials were successfully amplified and sequenced. The length of 2 cp DNA sequences after spliced was 1 412 bp， and there were 377 polymorphic variation loci， and 36 haplotypes. Fu and Li's D* test was significant （P<0.01）. The values of Pi， H_S， and H_T based on cp DNA were 0.119 89， 0.787， and 0.891， respectively. The genetic differentiation coefficients of gene differentiation coefficient（Gst）， nucleotide differentiation coefficient（Nst）， and fixation index（Fst） were 0.117， 0.468， and 0.488， respectively， and the gene flow （Nm） was 0.615. The mean values of PPB， Shannon information diversity index（I）， Nei's genetic diversity index（H）， and Gst based on ISSR were 78.85%， 0.334 8， 0.218 6， and 0.754 4， respectively， and the Nm value was 0.162 8. ConclusionI. indigotica has high genetic diversity and abundant haplotypes at the species level， with abundant haplotypes. Genetic differentiation among different germplasm materials is obvious， and gene exchange is not frequent. Genetic variation mainly exists among populations. The population has accumulated various low-frequency gene mutations recently， suggesting that it has experienced significant regional expansion in the history.

Objective:To evaluate the value of applying an artificial intelligence (AI) system for diabetic retinopathy (DR) detection and referral in community.Methods:A diagnostic test study was conducted.Four hundred and twenty-one patients (812 eyes) diagnosed with diabetes in three Dongguan community healthcare centers from January 1, 2020 to December 31, 2021 were enrolled.There were 267 males, accounting for 63.42% and 154 females, accounting for 36.58%.The subjects were 18-82 years old, with an average age of (51.72±11.28) years.The disease course of the subjects was 0-30 years, with an average course of 3.00 (1.00, 7.00) years.At least one macula-centered 50-degree fundus image was taken for each eye to build a DR image database.All the images were independently analyzed by an AI-assisted diagnostic system for DR, trained and qualified community physicians and ophthalmologists to make diagnosis including with or without DR, referable diabetic retinopathy (RDR) and referral recommendation or not.With diagnoses from ophthalmologists as the standard, sensitivity and specificity of the AI system in detecting DR and RDR were evaluated.The consistency and effective referral rate of the AI system and community physicians in detecting DR, especially in detecting RDR were evaluzted.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Dongguan Tungwah Hospital (No.2019DHLL046).Results:Of 812 eyes, 242 eyes were diagnosed with DR, including 23 with mild nonproliferative diabetic retinopathy (NPDR), 120 with moderate NPDR, 60 with severe NPDR and 39 with proliferative diabetic retinopathy (PDR). The other 570 eyes were diagnosed without DR.The sensitivity/specificity of AI system to detect DR and RDR was 87.60%/97.89% and 90.41%/96.29%, respectively.Compared with the ophthalmologists' diagnosis, the Cohen' s Kappa statistic of AI system to detect DR/RDR was 0.87/0.87, which was lower than 0.93/0.98 of community physicians.Among the referral-recommended cases by ophthalmologists, the effective referral rate of the AI system was 90.87% (199/219), which was higher than 89.50% (196/219) of community physicians, without statistically significant difference ( P=1.000). Conclusions:The AI system shows high sensitivity, specificity and consistency in DR detection, especially in RDR.The AI system is better in recognizing RDR than trained community physicians.