AIM: To observe the changes of corneal densitometry(CD)and higher-order aberrations after small incision lenticule extraction(SMILE), and to explore their correlations and influencing factors.METHODS: Prospective study. A total of 62 high-degree myopia and compound myopic astigmatism patients(62 eyes)who underwent SMILE in Urumqi Aier Eye Hospital from December 2022 to November 2023 were collected. The CD, root mean square of corneal higher-order aberrations(RMS HOA), spherical aberration, vertical coma, horizontal coma, and corneal epithelial thickness(CET)of the patients were measured before surgery, and at 1 d, 1 wk, 1, 3, and 6 mo after surgery, respectively.RESULTS:There were 4 patients lost to follow-up during the period, all due to failure to attend scheduled reexaminations. The number of complete and valid cases was 58 eyes. The CD in the central and paracentral regions of the anterior, middle, and total layer of the cornea increased significantly on the first day after surgery(all P<0.003). At 6 mo after surgery, there was a slight but statistically significant decrease in the CD of the central and paracentral regions of the anterior and the total anterior layer(all P<0.003). Compared with the preoperative baseline values, the RMS HOA, spherical aberration, and vertical coma significantly increased at 6 mo after surgery(all P<0.003), while the change in horizontal coma was not statistically significant. Compared with the preoperative baseline values, the CET in the central, paracentral, and peripheral regions of the cornea, as well as the total average CET in the 0-7 mm range of the cornea increased at 6 mo after surgery(all P<0.003). At 1 d after surgery, CD of the anterior layer and total layer in the central region of the cornea were positively correlated with the CET in the central region(rs=0.327, rs=0.250, all P<0.05). At 6 mo after the surgery, the CD of the middle layer and posterior layer in the central corneal region were negatively correlated with the preoperative spherical equivalent and the change of RMS HOA(all P<0.05).CONCLUSION:The anterior CD decreases at 6 mo after SMILE for high myopia correction, and there is a certain correlation between the changes in CD and some clinical parameters.

BACKGROUND: Urolithiasis is a widespread disease with a high prevalence worldwide. This study aims to evaluate the disease burden of urolithiasis and its trends from 1990 to 2021 globally, based on the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 database. METHODS: The numbers and age-standardized rates (ASRs) of incidence, disability-adjusted life years (DALYs), and mortality of urolithiasis were extracted from GBD 2021 to represent the disease burden. Joinpoint regression analyses were conducted to assess the temporal trends in the burden of urolithiasis. The male-to-female ASR ratio indices were used to evaluate sex disparities. Additionally, we explored the relationship between the ASR ratio and the sociodemographic index (SDI). RESULTS: The total numbers of incidence, DALY, and mortality of urolithiasis were 105,983,780 cases (95% uncertainty interval [UI] = 88,349,356-128,645,155 cases), 693,444 cases (95% UI = 567,765-850,490 cases), and 17,672 cases (95% UI = 13,932-21,241 cases), respectively, in 2021. There is an increasing trend in the number of these measures globally, whereas the ASRs have decreased over the past 30 years. The age-standardized incidence rate (ASIR) and age-standardized mortality rate (ASMR) were significantly higher in males than in females in 2021. The sex disparities in the age-standardized DALY rate (ASDR) and ASMR of urolithiasis were negatively correlated with the SDI. In 2021, the ASIR of urolithiasis was 964.70 (95% UI = 801.26-1175.09) per 100,000 people in China, which is much lower than the global average (1242.84 [95% UI = 1034.94-1506.99] per 100,000 people). Compared with the global average, a more pronounced decline in ASIR was observed in China from 1793.16 (1446.0-2235.14) in 1990 to 964.70 (801.26-1175.09) per 100,000 people in 2021. CONCLUSIONS Urolithiasis poses a significant healthcare burden worldwide. More robust global and national strategies are warranted to address the prevention and treatment, especially in low SDI countries and regions.
Humans ; Urolithiasis/mortality* ; Male ; Female ; Incidence ; Global Burden of Disease ; Disability-Adjusted Life Years ; Adult ; Middle Aged ; Risk Factors ; Sex Factors

With the growing emphasis on maternal and child oral health, the significance of managing oral health across preconception, pregnancy, and infancy stages has become increasingly apparent. Oral health challenges extend beyond affecting maternal well-being, exerting profound influences on fetal and neonatal oral development as well as immune system maturation. This expert consensus paper, developed using a modified Delphi method, reviews current research and provides recommendations on maternal and child oral health management. It underscores the critical role of comprehensive oral assessments prior to conception, diligent oral health management throughout pregnancy, and meticulous oral hygiene practices during infancy. Effective strategies should be seamlessly integrated across the life course, encompassing preconception oral assessments, systematic dental care during pregnancy, and routine infant oral hygiene. Collaborative efforts among pediatric dentists, maternal and child health workers, and obstetricians are crucial to improving outcomes and fostering clinical research, contributing to evidence-based health management strategies.
Humans ; Pregnancy ; Female ; Infant ; Consensus ; Mouth Diseases/therapy* ; Pregnancy Complications/therapy* ; Oral Health ; Infant, Newborn ; Delphi Technique ; Oral Hygiene

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Outpatient humanistic care refered to providing a full process of caring medical services to outpatients. In order to standardize the human caring services for outpatients in medical institutions, promote the comprehensive service level of outpatient services, and improve the patient′s medical experience, Chinese Association for Life Care issued the group standard of Management Norms for Human caring of Outpatients in April 2023. This standard clarified the relevant terms and definitions of human caring for outpatients, specified the basic requirements for human caring, the humanistic quality and care responsibilities of outpatient staff, the outpatient care environment and facilities, the outpatient care process and measures, and quality management. It designed standardized and personalized full process care service norms, providing references for medical institutions at all levels to promote the development of human caring for outpatients.

Objective:To elucidate the primary elements pertaining to the perception of relapse risk and to in-vestigate the characteristics and alterations of perception of the risk of recurrence in patients with schizophrenia.Methods:By using the method of phenomenological study,semi-structured in-depth interviews were conducted among schizophrenic patients with first onset,first recurrence and multiple recurrences.Twenty-three 23 outpatient and inpatient cases that met the criteria of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5)were included,and all patients had PANSS scores below 60.The interview data were collated and analyzed according to Colaizzi analysis.Results:The perception of recurrence risk in patients with schizophrenia en-compassed 4 major themes and 11 sub-themes,namely susceptibility(limited overall understanding,transition from optimism to objectivity),detection of early warning symptoms(dynamic escalation,assistance from family mem-bers in identification),understanding risk factors(lack of understanding,the relationship between psychosocial fac-tors and relapse,dynamic understanding of medication-relapse relationship),and apprehension of the consequences of recurrence(care burden and financial constraints,impaired social functioning and maladjustment,impact on pub-lic safety,personal health risks).Conclusion:The content of risk perception of recurrence in patients with schizo-phrenia is relatively substantial.The overall level of risk perception of recurrence in patients with schizophrenia is low.

Objective:To explore the relationship between intolerance of uncertainty and internet addiction among college students, as well as the mediating roles of negative cognitive bias and difficulties in emotion regulation.Methods:In September 2022, 1 762 college students were assessed with intolerance uncertainty scale, negative cognitive process bias questionnaire, difficulties in emotion regulation scale and internet addiction test. SPSS 24.0 software was used for descriptive statistics and correlation analysis. AMOS 23.0 was used to construct a multiple mediation model, and Bootstrap method was used for mediation effects testing.Results:(1) The score of intolerance of uncertainty was 34.00 (28.00, 40.00), the score of negative cognitive bias was 42.00 (34.00, 50.00), the score of difficulties in emotion regulation was 26.00 (20.00, 32.00), and the score of internet addiction was 36.00 (28.00, 46.00). (2)The Spearman correlation analysis showed that intolerance of uncertainty, negative cognitive bias, difficulties in emotion regulation, and internet addiction were significantly positively correlated with each other ( r=0.343-0.626, P<0.01). (3) The results of the path analysis indicated that the direct effect of intolerance of uncentainty on internet addiction was not significant, and the total indirect effect was 0.402(95% CI=0.354-0.451).The indirect effect of negative cognitive bias was 0.253(95% CI=0.200-0.305), accounted for 62.94%(0.253/0.402) of the total indirect effect.The indirect effect of difficulties in emotion regulation was 0.052 (95% CI=0.033-0.076), accounted for 12.93%(0.052/0.402) of the total indirect effect.And the chain mediating effect of negative cognitive bias and difficulties in emotion regulation was 0.097(95% CI=0.068-0.131), accounted for 24.13%(0.097/0.402) of the total indirect effect. Conclusion:Intolerance of uncertainty is significantly positively correlated with internet addiction, and its effects on internet addiction are individually mediated by negative cognitive bias and difficulties in emotion regulation, as well as their chain mediating effects.

Objective:To investigate the clinical characteristics and treatment strategies of patients with connective tissue disease (CTD) related lymphatic duct obstruction.Methods:The clinical data, laboratory tests results, imaging data, and treatment of CTD patients associated with lymphatic vessel obstruction were retrospectively collected from January 2008 to December 2020 at Beijing Shijitan Hospital. Lymphatic duct obstruction was confirmed by thoracic duct ultrasound or thoracic duct MRI or lymphoscintigraphy or direct lymphangiography. SLE and RA patients were matched with gender and age in a 1∶2 ratio, and SLE and RA patients without lymphatic reflux disorder admitted at the same time were randomly selected as the control group. When comparing the data between the two groups, t-test or rank sum test was used to test continuous variables, and chi-square test or Fisher′s exact probability method was used to test categorical variables. Results:Forty-four patients with CTD complicated with thoracic duct obstruction were included, with a male-to-female ratio of 7∶37, including 14 cases of rheumatoid arthritis (RA), 21 cases of systemic lupus erythematosus (SLE), 8 cases of primary Sjogren's syndrome (pSS), and 1 case of systemic sclerosis (SSc). The onset age of CTD ranged from 14 to 68 years, the mean age was (37±15) years and the median duration of CTD was 66 (range 1~480) months. The median age at the onset of lymphatic duct obstruction such as limb edema or thoracoabdominal effusion was (42±17) years, and the median duration of lymphatic duct obstruction symptoms was 12 (range 3~480) months. 59%(26/44) of patients were diagnosed with CTD followed by the diagnosis of thoracic duct obstruction, and 41%(18/44) of patients had lymphatic duct obstruction symptoms as the initial presentation of CTD. Thoracic duct-related imaging was performed in 44 patients and showed thoracic duct obstruction (64%, 28/44), thoracic duct malformation or variation (36%, 16/44), limb lymphatic reflux disorder (34%, 15/44), and small bowel lymphatic duct dilatation or intestinal protein loss (18%, 8/44), respectively. Compared with the control group, among these patients, patients with RA complicated with lymphatic involvement had a younger onset age [(34±14)years old vs. (44±13)years old, t=-2.15, P=0.037)] and longer RA course [(17±11)months vs. (7±7)months, t=3.38, P=0.002] and presented with limb swelling (12/14). While compared with the control group, SLE patients complicated with lymphatic duct obstruction presented with celiac multi-plasmatic effusion (20/21), more patients presented with multiple serous cavity effusion [95%(20/21) vs. 62%(25/42), χ2=7.63, P=0.006], but the prevalence of lupus nephritis [(60%(12/21) vs. 86%(36/42), χ2=4.87, P=0.027] and lupus encephalopathy [0%(0/21) vs. 16.7%(17/42), χ2=6.11, P=0.013] was lower. 27% (12/44) of patients improved with aggressive glucocorticoids combined with immunosuppressive therapy, 54%(24/44) of patients were performed with lymphatic duct reconstruction surgery on top of medical treatment, 5 patients were lost of follow-up, and 2 patients deceased. Conclusion:CTD patients may develop lymphatic duct obstruction during the disease course, while lymphatic duct obstruction can also be the initial presentation of CTD. Rheumatologists and surgeons should be alert to this rare situation. Young women with refractory polyserositis or lymphedema should be examined for the possibility of combined CTD. Lymphatic duct obstruction may be associated with long-term chronic inflammation in CTD. Glucocorticoids combined with immunosuppressive agents and surgery can be used to treat lymphatic duct obstruction in patients with CTD.

Objective:To investigate the predictive value of clinical factor model, deep learning model based on baseline plain CT images, and combination of both for predicting hematoma expansion in cerebral hemorrhage.Methods:The study was cross-sectional. Totally 471 cerebral hemorrhage patients who were firstly diagnosed in the Second Affiliated Hospital of Soochow University from January 2017 to December 2021 were collected retrospectively. These patients were randomly divided into a training dataset ( n=330) and a validation dataset ( n=141) at a ratio of 7∶3 by using the random function. All patients underwent two noncontrast CT examinations within 24 h and an increase in hematoma volume of >33% or an absolute increase in hematoma volume of >6 ml was considered hematoma enlargement. According to the presence or absence of hematoma enlargement, all patients were divided into hematoma enlargement group and hematoma non-enlargement group.Two-sample t test, Mann-Whitney U test or χ2 test were used for univariate analysis. The factors with statistically significant differences were included in multivariate logistic regression analysis, and independent influences related to hematoma enlargement were screened out to establish a clinical factor model. ITK-SNAP software was applied to manually label and segment the cerebral hemorrhage lesions on plain CT images to train and build a deep learning model based on ResNet50 architecture. A combination model for predicting hematoma expansion in cerebral hemorrhage was established by combining independent clinical influences with deep learning scores. The value of the clinical factor model, the deep learning model, and the combination model for predicting hematoma expansion in cerebral hemorrhage was evaluated using receiver operating characteristic (ROC) curves and decision curves in the training and validation datasets. Results:Among 471 cerebral hemorrhage patients, 136 cases were in the hematoma enlargement group and 335 cases were in the hematoma non-enlargement group. Regression analyses showed that male ( OR=1.790, 95% CI 1.136-2.819, P=0.012), time of occurrence ( OR=0.812, 95% CI 0.702-0.939, P=0.005), history of oral anticoagulants ( OR=2.157, 95% CI 1.100-4.229, P=0.025), admission Glasgow Coma Scale score ( OR=0.866, 95% CI 0.807-0.929, P<0.001) and red blood cell distribution width ( OR=1.045, 95% CI 1.010-1.081, P=0.011) were the independent factors for predicting hematoma expansion in cerebral hemorrhage. ROC curve analysis showed that in the training dataset, the area under the curve (AUC) of clinical factor model, deep learning model and combination model were 0.688 (95% CI 0.635-0.738), 0.695 (95% CI 0.642-0.744) and 0.747 (95% CI 0.697-0.793) respectively. The AUC of the combination model was better than that of the clinical model ( Z=0.54, P=0.011) and the deep learning model ( Z=2.44, P=0.015). In the validation dataset, the AUC of clinical factor model, deep learning model and combination model were 0.687 (95% CI 0.604-0.763), 0.683 (95% CI 0.599-0.759) and 0.736 (95% CI 0.655-0.806) respectively, with no statistical significance. Decision curves showed that the combination model had the highest net benefit rate and strong clinical practicability. Conclusions:Both the deep learning model and the clinical factor model established in this study have some predictive value for hematoma expansion in cerebral hemorrhage; the combination model established by the two together has the highest predictive value and can be applied to predict hematoma expansion.

Objective:To explore the pathogenesis of flunarizine-induced parkinsonism from gut-brain axis perspective.Methods:Thirty male C57BL/6 mice were randomly divided into control group and flunarizine group ( n=15). Mice in the control group were given 0.1 mL 50% polyethylene glycol 400+50% saline by gavage once/d for 2 weeks, while mice in the flunarizine group were given 6 mg/mL flunarizine+50% polyethylene glycol 400+50% saline by gavage at a daily dose of 30 mg/kg for 2 weeks. Body mass was recorded 1, 3, 5, 7, 10 and 14 d after drug administration, and motor function was assessed by rotarod test 14 d after drug administration; 16s RNA sequencing was performed in the feces to observe the intestinal flora; intestinal transit function was detected by Evans blue by gavage; and then, the mice were sacrificed and homogenate or frozen sections (brain and intestinal tissues) were prepared; dopamine-ergic neuron expression was detected by Western blotting; RT-qPCR was applied to detect the expressions of inflammatory factors in the substantia nigra, and immunofluorescent staining was used to detect the expressions of ZO-1 and Claudin-5 in the intestinal epithelial tissues. Results:Compared with the control group, the flunarizine group had lower body mass ratio 1, 3, 5, 7, 10 and 14 d after drug administration (ratio to body mass before drug administration). Compared with the control group, the flunarizine group had significantly shortened residence time in rod rotating and lower rotational speed when falling ( P<0.05). Compared with the control group, the flunarizine group had decreased tyrosine hydroxylase protein in the substantia nigra without significant difference ( P>0.05). Compared with the control group, the flunarizine group had significantly increased interleukin-6 and tumor necrosis factor-α in the substantia nigra (1.00±0.00 vs. 2.79±0.83; 1.00±0.00 vs. 3.39±1.37), significantly lower intestinal Evans blue propulsion rate (80.67%±4.51% vs. 50.67%±6.03%), and statistically decreased ZO-1 and Claudin-5 expressions in the colonic epithelial tissues (27.01±1.41 vs. 16.32±2.83; 37.00±2.80 vs. 24.52±2.12, P<0.05). Totally, 576 microorganisms were noted in both control group and flunarizine group, 744 in the control group alone, and 634 in the flunarizine group alone. The intestinal flora β diversity indices in the 2 groups were significantly different based on weighted Unifrac-principle coordinates analysis (PCoA, PCoA1: 39.88%; PCoA2: 30.69%). Compared with the control group, the microbial colony structure of mice in flunarizine group was dominated by phylum thick-walled bacteria and phylum warty microbacteria, and by families Muribaculaceae, Lachnospiraceae and Akkermansiaceae. Compared with the control group, the flunarizine group had significantly decreased relative abundance of Ackermannia spp. and Lactobacillus spp. in the intestinal flora ( P<0.05). Conclusion:Flunarizine may contribute to the pathogenesis of DIP by causing structural disturbances in the intestinal flora and inducing neuroinflammation based on the gut-brain axis.