Objective: To explore the assocation of the family environment and depressive symptoms among primary and middle school students, so as to provide suggestions for further maximizing the utility of family environment in the growth of primary and secondary school students, as well as prevention and intervention of depressive symptoms among children and adolescents. Methods: From June to July 2024, through a multistage cluster random sampling method, 8 800 primary and middle school students aged 10 to 18 from 36 schools in 3 cities (Datong, Lvliang, Linfen) in Shanxi Province. A self designed questionnaire was used to conduct a family environment survey, including family socioeconomic conditions, family structure, family parenting behavior, family member health behavior, etc; and the depression symptoms of primary and secondary school students were investigated by Patient Health Questionnaire-9. The χ 2 test and binary Logistic regression to method were used to analyze the association of the family environment with depressive symptoms among primary and secondary school students, and to analyze gender and urban-rural heterogeneity in this association. Results: The detection rate of depressive symptoms among primary and middle school students was 46.7% ( n = 4 111 ). Among them, the detection rates of depressive symptoms for male and female students were 45.7% and 47.7% respectively, and the detection rates for rural and urban students were 48.0% and 44.9% respectively. The results of binary Logistic regression model showed that in the family environment, factors such as the father s education level (junior high school: OR =0.84), self assessed family socio economic status (average: OR =0.78, good: OR =0.80), parental support and understanding (yes: OR = 0.55 ), family atmosphere (harmonious: OR =0.66), living arrangement (living only with father or mother: OR =1.31, living with parents and grandparents: OR =1.19), and family rearing style (combining punishment and reward: OR =1.42, punishment only: OR =1.25) were related to depressive symptoms in primary and middle school students in Shanxi Province ( P <0.05). From the perspective of gender heterogeneity, the living arrangement (living only with father or mother: OR =1.67, others: OR =1.67) had a statistically significant association with depressive symptoms in male students ( P <0.05). From the perspective of urban rural heterogeneity, the living arrangement (living only with father or mother: OR =1.38) had a statistically significant association with depressive symptoms in rural primary and middle school students ( P <0.05). Conclusions The family environment has an important impact on depressive symptoms in primary and middle school students. Family functioning should be fully exerted to prevent depressive symptoms in primary and middle school students.

Cervical cancer is one of the most common gynecological malignant tumors,the five-year survival rate decreased significantly in the case of lymph node metastasis and distant metasta-sis,so the development of new anti-cervical cancer drugs is of great significance for the treatment of cervical cancer.Molecular docking technology is one of the most commonly used research methods in computer aided drug design,which is widely used in screening the effective components of drugs,finding the targets of drugs acting on tumors and exploring the mechanism of antineoplastic drugs.This paper reviews the molecular docking technology in the screening of anti-cervical cancer drugs,the determination of anti-tumor targets and the mechanism of anti-cervical cancer,in order to provide more sufficient theoretical basis for the screening of anti-cervical cancer drugs and new drug research and development.

Objective:To investigate the effect of prone position on the prognosis of patients with severe pneumonia in intensive care unit (ICU).Methods:A retrospective cohort study was conducted. The patients with severe pneumonia admitted to the ICU of Qingdao Municipal Hospital from May 2022 to August 2023 were enrolled. The general information, etiology, underlying diseases, vital signs and laboratory indicators at ICU admission, clinical treatment and prognosis during ICU hospitalization were collected. The above clinical data of patients with different prognosis were compared. Multifactorial Logistic regression analysis was used to screen the related factors affecting survival during ICU in patients with severe pneumonia. The change in oxygenation index (PaO 2/FiO 2) of patients with severe pneumonia were observed at 1 hour before the first prone position, 1 hour after the first prone position, and 1 hour after the end of the first prone position. The effect of prone position on oxygenation in patients with severe pneumonia was analyzed. Spearman correlation analysis was used to investigate the correlation between the duration to first prone position and the change in the PaO 2/FiO 2 before and after prone position in patients with severe pneumonia. Results:Finally, a total of 144 patients with severe pneumonia were enrolled, 45 survived and 99 died during ICU hospitalization, with a mortality of 68.8%. Compared with the survival group, the patients in the death group were older [years old: 81.00 (70.75, 86.00) vs. 71.00 (60.50, 81.50), P < 0.01], the proportion of pre-existing lung disease, heart rate (HR), respiratory rate (RR), blood lactic acid (Lac) and the ratio of continuous renal replacement therapy (CRRT) were higher [ratio of pre-existing lung disease: 23.2% (23/99) vs. 8.9% (4/45), HR (bpm): 99.61±22.47 vs. 91.49±18.76, RR (times/min): 22.50 (19.75, 29.25) vs. 20.00 (17.50, 24.50), Lac (mmol/L): 2.00 (1.55, 3.25) vs. 1.60 (1.20, 1.95), CRRT ratio: 25.3% (25/99) vs. 6.7% (3/45), all P < 0.05], and the proportion of prone position was lower [41.4% (41/99) vs. 68.9% (31/45), P < 0.01]. Multifactorial Logistic regression analysis showed that age [odds ratio ( OR) = 0.946, 95% confidence interval (95% CI) was 0.912-0.980, P = 0.002] and Lac ( OR = 0.563, 95% CI was 0.340-0.930, P = 0.025) were negatively correlated with survival during ICU hospitalization in severe pneumonia patients, while prone position was positively correlated with survival ( OR = 2.551, 95% CI was 1.067-6.095, P = 0.035), indicating that prone position was beneficial for improving ICU prognosis in severe pneumonia patients. The results of PaO 2/FiO 2 at different time points in prone position showed that PaO 2/FiO 2 at 1 hour of the first prone position in the patients with severe pneumonia was significantly higher than that at 1 hour before the first prone position [mmHg (1 mmHg ≈ 0.133 kPa): 146.69 (113.92, 257.25) vs. 111.75 (70.15, 212.20), P < 0.01], indicating that the prone position had a relevant effect on the improvement of oxygenation in patients. Spearman correlation analysis showed that the duration of the first prone position in patients with severe pneumonia was significantly and positively correlated with the improvement of oxygenation at 1 hour of the first prone position ( r = 0.565, P < 0.001). Conclusions:The prone position is a therapeutic measure that can independently influence the prognosis of patients with severe pneumonia during ICU hospitalization. The prone position effectively improves oxygenation in patients with severe pneumonia and the first change in oxygenation in patients is related to the duration of the prone position.

Objective:To analyze the clinical characteristics, muscle imaging and pathological features of patients with anti-signal recognition particle positive immune-mediated necrotizing myopathy (SRP-IMNM).Methods:Nine patients with SRP-IMNM were collected in the Neuromuscular Disease Center of Jiaozuo People′s Hospital from May 2018 to May 2023, who were confirmed by skeletal muscle pathology and myositis-specific autoantibodies detection, and their clinical manifestations, muscle imaging and muscle pathology characteristics were systematically summarized.Results:Among the 9 patients with SRP-IMNM, there were 7 females and 2 males. The age of onset ranged from 18 to 59 years. All the patients presented proximal muscle weakness. Seven patients experienced neck weakness, and dysphagia was present in 5 patients. Laboratory examinations showed elevated serum creatine kinase levels in all 9 patients (1 866-6 725 U/L). Eight patients were combined with other antibodies positivity, except for anti-SRP antibody. Among them, 7 patients were combined with anti-Ro-52 antibody positivity, 4 patients combined with anti-Ro-52 antibody positivity alone, and 3 patients combined with 3 or more positive antibodies simultaneously. Those patients who presented with interstitial lung disease and cardiac involvement were all combined with other antibodies positivity. Seven patients completed thigh muscle magnetic resonance imaging (MRI), which showed diffuse skeletal muscle oedema, partial muscle atrophy and fatty replacement, primarily affecting the posterior thigh muscle group. Two patients underwent shank muscle MRI. The soleus involvement was evident, while the tibialis anterior muscle and gastrocnemius muscles were involved in 1 patient. All 9 patients showed varying degrees of scattered muscle fiber necrosis and regeneration on muscle biopsies. In 1 patient, a small amount of inflammatory cell infiltration was observed. Pipestem capillaries were observed in 4 patients. Immunohistochemical staining revealed a small number of CD68-positive lymphocytes in 8 patients. Additionally, 5 patients showed upregulation of major histocompatibility complex Ⅰ expression on the muscle fiber membrane, while 6 patients showed deposition of membrane attack complex (C5b-9) on non-necrotic muscle fibers and capillaries. P62 staining showed homogeneous fine-granular in sarcoplasm in 6 patients.Conclusions:In addition to proximal muscle weakness, patients with SRP-IMNM often experience neck weakness and dysphagia. Those with multiple antibodies are more likely to develop interstitial lung disease and cardiac involvement. SRP-IMNM patients have diffuse oedema in the affected muscles, and the posterior thigh muscles are more prone to atrophy and fatty tissue formation. C5b-9 deposition and pipestem capillaries are significant pathological features of SRP-IMNM, which provide additional evidence for clinical diagnosis.

Objective:To establish a set of artificial intelligence (AI) verification rules for blood routine analysis.Methods:Blood routine analysis data of 18 474 hospitalized patients from the First Hospital of Jilin University during August 1st to 31st, 2019, were collected as training group for establishment of the AI verification rules,and the corresponding patient age, microscopic examination results, and clinical diagnosis information were collected. 92 laboratory parameters, including blood analysis report parameters, research parameters and alarm information, were used as candidate conditions for AI audit rules; manual verification combining microscopy was considered as standard, marked whether it was passed or blocked. Using decision tree algorithm, AI audit rules are initially established through high-intensity, multi-round and five-fold cross-validation and AI verification rules were optimized by setting important mandatory cases. The performance of AI verification rules was evaluated by comparing the false negative rate, precision rate, recall rate, F1 score, and pass rate with that of the current autoverification rules using Chi-square test. Another cohort of blood routine analysis data of 12 475 hospitalized patients in the First Hospital of Jilin University during November 1sr to 31st, 2023, were collected as validation group for validation of AI verification rules, which underwent simulated verification via the preliminary AI rules, thus performance of AI rules were analyzed by the above indicators. Results:AI verification rules consist of 15 rules and 17 parameters and do distinguish numeric and morphological abnormalities. Compared with auto-verification rules, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score of AI rules in training group were 22.7%, 1.6%, 74.5%, 1.3%, 75.7%, 97.2%, 93.5%, 94.7%, 94.1, respectively.All of them were better than auto-verification rules, and the difference was statistically significant ( P<0.001), and with no important case missed. In validation group, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score were 19.2%, 8.2%, 70.1%, 2.5%, 72.6%, 89.2%, 70.0%, 88.3%, 78.1, respectively, Compared with the auto-verification rules, The false negative rate was lower, the false positive rate and the recall rate were slightly higher, and the difference was statistically significant ( P<0.001). Conclusion:A set of the AI verification rules are established and verified by using decision tree algorithm of machine learning, which can identify, intercept and prompt abnormal results stably, and is moresimple, highly efficient and more accurate in the report of blood analysis test results compared with auto-vefication.

Objective:To establish and validate the prediction model for bone marrow metastasis (BMM) in malignant tumors by screening out laboratory multiparameters.Methods:This case-control study collected 444 cases of malignant tumor patients who were hospitalized in the First Hospital of Jilin University from March 2018 to March 2024, including 243 cases for model establishment set and 201 cases for model validation set. The model establishment set was divided into BMM positive group (81 cases) and BMM negative group (162 cases), and the model validation set was divided into positive group (67 cases) and a negative group (134 cases). We collected patients′ clinical information such as gender, age, clinical diagnosis, and results of 47 laboratory tests including routine blood analysis, coagulation, liver function, tumor markers, potassium, sodium, chloride, and calcium ion tests, bone marrow morphology, and bone marrow biopsy. BMM was taken as the outcome event, differencial variables were analyzed using inter group comparisons, the correlation among parameters was analyzed using Pearson correlation analysis, the risk factors for BMM were analyzed using multivariate conditional logistic regression analysis, to establish logistic model, followed by efficiency evaluation on BMM predictive model using receiver operating characteristic (ROC) curves.Results:In the model establishment set, Pearson correlation analysis of 28 parameters that differed between the BMM positive and negative groups revealed that the correlation coefficients of 17 parameters, including mean platelet volume (MPV), hematocrit (HCT), hemoglobin (HGB), and prothrombin time (PT), were no more than 0.6 ( P<0.05). Further multivariate conditional logistic regression analysis demonstrated that MPV, HGB, HCT, PT, red cell distribution width (RDW), platelet count (PLT), alkaline phosphatase (ALP), chloride (Cl -), and mean erythrocyte hemoglobin concentration (MCHC) were the risk factors of BMM occurence in malignancy [MPV ( OR=9.929, 95% CI 2.688-71.335), HCT ( OR=8.232, 95% CI 6.223-9.841), HGB ( OR=4.300, 95% CI 1.947-16.577), PT ( OR=3.738, 95% CI 1.359-11.666), RDW ( OR=1.995, 95% CI 1.275-3.807), ALP ( OR=1.025, 95% CI 1.012-1.045), PLT ( OR=1.014, 95% CI 1.002-1.031), MCHC ( OR=0.724, 95% CI 0.523-0.880) and Cl -( OR=0.703, 95% CI 0.472-0.967)]. In the model establishment set, combiation of risk factors provided an AUC of 0.943 (95% CI 0.898-0.987, P<0.001), a sensitivity of 86.3%, and a specificity of 89.2% for BMM prediction. In the model validation set, the AUC was 0.924 (95% CI 0.854-0.960, P<0.001), with a sensitivity and specificity of 86.7% and 83.8%, respectively. Conclusion:This study built and validated a multiple-parameter model for BMM, which may facilitate the timely detection of BMM and provide reference for decision making of bone marrow aspiration.

The incidence of myopia among Chinese adolescents is progressively rising, indicating a distinct trend toward younger age onset.This paper aims to comprehensively review the impact of various visual performance on myopia and its progression, with a specific emphasis on accommodative function, convergence function, and ocular position. A meticulous exploration of accommodation function, encompassing accommodative amplitude, accommodative facility, accommodative response, positive relative accommodation, and negative relative accommodation, has been undertaken to elucidate its contributory role in myopia progression. Concurrently, an exhaustive analysis of convergence function has been conducted including esotropia and exotropia, convergence insufficiency and convergence excess, fusional function vergence, divergence insufficiency, and excess, providing a nuanced understanding of convergence's implications for myopia advancement. Furthermore, the influence of ocular position on myopia progression, along with other factors affecting perceptual ocular position and intermittent exotropia, is discussed. The primary objective of this article is to unveil the multifaceted visual performance influencing myopia and its progression, elucidating the paramount significance of accommodative function, convergence function, and ocular position in this context.

Euglycemic diabetic ketoacidosis(euDKA)is a rare acute metabolic disorder syndrome,its characteristics include metabolic acidosis with a high anion gap,positive ketones in blood or urine,and blood glucose＜13.9 mmol/L.Due to low blood sugar level,euDKA is easy to be missed or delayed treatment in clinical work,resulting in serious consequences.In recent years,many cases of euDKA have been reported,but its inducements and pathogenesis are not fully understood.This article reviews the common inducements and pathogenesis of euDKA.

BACKGROUND:Confirming the reliability and validity of the My jump 2 application for measuring lower limb vertical stiffness may offer the possibility of it as an alternative to the Kistler three-dimensional force platform for measuring lower limb stiffness. OBJECTIVE:To verify the reliability and validity of the My Jump 2 application in measuring lower limb vertical stiffness of college students. METHODS:The drop jump data of the participants were collected through the Kistler three-dimensional force platform and the My Jump 2 application,and the vertical stiffness of the participants'lower limb vertical stiffness was calculated.The intraclass correlation coefficient was used to analyze the data measured by the My Jump 2 application and the Kistler three-dimensional force platform,attempting to verify the reliability of the My Jump 2 application.The bias and average between the two devices were drawn into a Bland-Altman diagram to verify the consistency between the two test methods.Finally,the test-retest reliability of the My Jump 2 applications at 30 cm and 40 cm was analyzed using the Cronbach's alpha(α)and coefficient of variation.Pearson product-moment correlation was used to analyze the correlation of My Jump 2 applications. RESULTS AND CONCLUSION:My Jump 2 application has high reliability and validity when measuring the vertical stiffness of the lower limb.At the same time,due to its advantages of low cost,convenient portability and field testing for large samples,it can be used as an alternative to the Kistler three-dimensional force platform to test the vertical stiffness of the lower limb in college students and similar populations.

Objective: To describe the association of different sleep characteristics and cardiometabolic risk among college students, so as to provide reference for health promotion of college students. Methods: By random cluster sampling method, a questionnaire survey and physical examination including blood pressure, waist circumference and blood lipid indicators, which were conducted in April and May of 2019 among a total of 1 179 college students from the first grade in two universities in Hefei City of Anhui Province and Shangrao City of Jiangxi Province. A total of 729 college students with valid questionnaires were included into analysis. The Pittsburgh Sleep Quality Index (PSQI) and Insomnia Severity Index (ISI) were used to investigate sleep behavior, and the Morning And Evening Questionnaire-5 (MEQ-5) was used to investigate sleep characteristics. The cardiometabolic risk score was derived using the sum of the standardized sex specific Z scores of waist circumference, mean arterial pressure, HDL cholesterol (multiplied by -1), triglycerides, and insulin resistance index. The rank sum tests were used to compare differences in cardiometabolic risk scores across demographic characteristics. Generalized linear models were used to compare the association of different sleep characteristics with cardiometabolic risk scores among college students. Results: The average cardiovascular metabolic risk score of college students was -0.32(-2.03, 1.58). There were statistically significant differences in cardiovascular metabolic risk scores among college students in variables such as smoking, health status, and physical activity levels ( t/F=-3.41, 12.88, 51.07, P <0.01). The results of the generalized linear model showed that nighttime preference ( B=1.89, 95%CI =1.02-3.49), insomnia symptoms ( B=3.25, 95%CI =1.79-5.90), and short or long sleep duration ( B=1.92, 95%CI =1.21-3.05) were positively correlated with the cardiovascular metabolic risk score of college students ( P <0.05). Conclusions Poor sleep patterns among college students are positively correlated with the risk of cardiovascular metabolism. The sleep behavior of college students should be actively changed to reduce the risk of cardiovascular disease.