Objective To investigate the epidemiological characteristics and risk factors of non-alcoholic fatty liver disease in Jincheng between 2015 and 2020. Methods Clinical data of 8,578 medical check-ups at Physical Examination Center of ou hospital from January 2015 to December 2020 were retrospectively selected. The prevalence of non-alcoholic fatty liver disease in the last 5 years was recorded, and Logistic regression was utilized to identify the risk factors for the development of non-alcoholic fatty liver disease. Results The overall prevalence of non-alcoholic fatty liver disease in Jincheng was 14.57% in 2015-2020. The prevalence of non-alcoholic fatty liver disease was higher in men than in women (16.99% vs 10.98%) and highest in the 40-59 age group (18.76%). No statistical difference was reported in blood urea nitrogen (BUN) and serum creatinine (Scr) between groups (P>0.05), while statistical difference was found in diabetes, hypertension, body mass index (BMI), waist circumference, weekly exercise frequency, daily vegetable intake, triglycerides (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), alanine aminotransferase (ALT) and uric acid (UA) between two groups (P<0.05). Multivariate Logistic regression analysis denoted that BMI (OR=2.794, 95% CI: 1.745-4.550), waist circumference (OR=2.586, 95% CI: 1.585-4.299), diabetes (OR=0.644, 95% CI: 1.425-2.781), hypertension (OR=1.479, 95% CI: 1.121-2.290), weekly exercise ≥6h (OR=0.617, 95% CI: 0.519-0.709), daily vegetable intake ≥300g (OR=0.590, 95% CI: 0.467-0.652), TG (OR=1.481, 95% CI: 1.122-1.996), TC (OR=1.562, 95% CI:1.143-2.135), LDL-C (OR=1.440, 95% CI: 1.139-2.048), HDL-C (OR=0.656 , 95% CI: 0.587-0.783) , ALT (OR=1.591, 95% CI: 1.056-2.183), and UA (OR=1.412, 95% CI: 1.009-1.887) were risk factors for non-alcoholic fatty liver disease (P<0.05) . Conclusion The prevalence of non-alcoholic fatty liver disease in Jincheng City from 2015 to 2020 is 14.57%, the prevalence of males is higher than that of females, and the prevalence rate is the highest in the 40-59 age group. Moreover , diabetes mellitus , hypertension , BMI , waist circumference , weekly exercise , daily vegetable intake , serum TG, TC, LDL-C, HDL-C, ALT, and UA are all associated with the risk of the disease.

Keratoconus(KC)is a blinding eye disease caused by a variety of factors, with its pathogenesis still not well understood. In recent years, it has been discovered that sex hormones and prolactin-induced protein(PIP)have a profound impact on the cornea, with more noticeable changes when there are abnormalities in their body content. It has been found that various sex hormone receptors are distributed in the cornea. Based on this, this article reviews a multitude of studies on how sex hormones and PIP affect the cornea, along with relevant clinical research. It has been observed that sex hormones and PIP also play a role in KC patients and influence the occurrence and progression of KC. Additionally, it has been noted that pregnant and lactating women may be more susceptible to KC. Sex hormones and PIP have the potential to become new diagnostic and therapeutic targets. This article not only provides new insights but also offers important references for clinical practice.

Keratoconus(KC)is a blinding eye disease caused by a variety of factors, with its pathogenesis still not well understood. In recent years, it has been discovered that sex hormones and prolactin-induced protein(PIP)have a profound impact on the cornea, with more noticeable changes when there are abnormalities in their body content. It has been found that various sex hormone receptors are distributed in the cornea. Based on this, this article reviews a multitude of studies on how sex hormones and PIP affect the cornea, along with relevant clinical research. It has been observed that sex hormones and PIP also play a role in KC patients and influence the occurrence and progression of KC. Additionally, it has been noted that pregnant and lactating women may be more susceptible to KC. Sex hormones and PIP have the potential to become new diagnostic and therapeutic targets. This article not only provides new insights but also offers important references for clinical practice.

Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

Objective:To observe and analyze the influencing factors for the prognosis of anti-vascular endothelial growth factor (VEGF) drug treatment in patients with macular neovascularization (MNV) under 45 years old.Methods:A retrospective clinical case study. A total of 89 MNV patients with 96 eyes who were diagnosed and treated with anti-VEGF drugs in Department of Ophthalmology of The Second Hospital of Lanzhou University from January 2020 to January 2024 were included in the study. The ages of all patients were <45 years old. All patients underwent best corrected visual acuity (BCVA) and optical coherence tomography (OCT) examinations; 49 eyes underwent OCT angiography (OCTA) examination. The BCVA examination was carried out using the international standard visual acuity chart and was converted into the logarithm of the minimum angle of resolution (logMAR) visual acuity for statistics. The macular foveal thickness (CMT) was measured using an OCT instrument. The size of the MNV lesion was measured using the software of the OCTA self-contained device. The affected eyes were given intravitreal injection of anti-VEGF drugs once, and then the drugs were administered as needed after evaluation. The follow-up time after treatment was ≥6 months. During the follow-up, relevant examinations were performed using the same equipment and methods as before treatment. The last follow-up was taken as the time point for efficacy evaluation. According to the OCT image characteristics of the MNV lesions, the affected eyes were divided into the fibrous scar group and the non-fibrous scar group, with 52 (54.16%, 52/96) and 44 (45.83%, 44/96) eyes respectively. Comparing the CMT and BCVA at the last follow-up with those at the baseline, the affected eyes were divided into the CMT reduction group, the CMT increase group, the BCVA improvement group and the BCVA reduction group, with 66 (68.75%, 66/96), 30 (31.25%, 30/96) eyes and 74 (77.08%, 74/96), 22 (22.92%, 22/96) eyes respectively. The Mann-Whitney U test was used for the comparison of non-normally distributed measurement data between groups. Logistic regression analysis was used to analyze the independent factors affecting the prognosis of MNV patients. Results:There were no statistically significant differences in the age ( Z=-0.928) and gender composition ratio ( χ2= 0.123) between the fibrous scar group and the non-fibrous scar group ( P>0.05); there were statistically significant differences in the number of eyes with a follow-up time of ≥36 months and <36 months ( χ2= 3.906, P=0.048); there were statistically significant differences in the size of the MNV lesions ( Z=-2.385, P=0.017); there were statistically significant differences in the number of eyes with different vascular network morphologies ( χ2=12.936, P=0.001). Before treatment and at the last follow-up, the CMT of the affected eyes was 267.50 (237.25, 311.75) μm and 242.00 (217.25, 275.75) μm respectively; logMAR BCVA was 0.20 (0.10, 0.50) and 0.35 (0.16, 0.60) logMAR respectively. There were statistically significant differences in the CMT and logMAR BCVA before treatment and at the last follow-up ( Z=-3.311, -1.984; P=0.001, 0.047). There were statistically significant differences in different ages ( Z=-2.284), myopic diopter ( χ2=7.437), etiology ( χ2=6.956), and disease course ( Z=-1.687) between the CMT reduction group and the CMT increase group ( P<0.05). There were statistically significant differences in the number of eyes with different subjective feelings between the BCVA improvement group and the BCVA reduction group ( χ2=10.133, P<0.05). The results of logistic regression analysis showed that the etiology was an independent risk factor for CMT thickening. Conclusions:Age, etiology, myopic diopter, disease course, follow-up time, lesion size and the morphology of the neovascular network are the influencing factors for the prognosis of anti-VEGF drug treatment in MNV patients under 45 years old. The etiology is an independent risk factor for CMT increase.

Obstructive sleep apnea hypopnea syndrome (OSAHS) is a disease in which apnea and hypopnea occur during sleep, and the main symptoms are sleep snoring. OSAHS is not only closely related to the occurrence of various eye diseases, but also the severity of OSAHS can affect the progression of related eye diseases. At present, continuous positive airway pressure (CPAP) is an effective means to treat OSAHS, and the progression of related eye diseases has been improved correspondingly after CPAP treatment. In the future, it is necessary to further study the pathogenesis of OSAHS and enrich the research evidence of the association between OSAHS and eye diseases, so as to provide more comprehensive theoretical evidence for the prevention and treatment of OSAHS-related eye diseases.

Objective To investigate the predictive value of the combined detection of serum von Willebrand factor(vWF),monocyte chemotactic protein-1(MCP-1),and growth differentiation factor-15(GDF-15)for postpartum hemorrhage in patients with pernicious placenta previa(PPP).Methods One hundred and twelve patients with PPP admitted to our hospital between January 2021 and January 2024 were selected as the study group.They were further divided into a postpartum hemorrhage group and a non-postpartum hemorrhage group and 112 pregnant women with normal placental position during the same period were selected as the control group.ELISA was used to detect serum vWF,MCP-1,and GDF-15 levels.Results Serum vWF,MCP-1,and GDF-15 levels were significantly higher in the study group than in the control group(P＜0.05).Serum vWF,MCP-1,and GDF-15 levels were significantly higher in the postpartum hemorrhage group than in the non-postpartum hemorrhage group(P＜0.05).Logistic regression analysis identified vWF,MCP-1,and GDF-15 levels as factors influencing postpartum hemorrhage for women with PPP(P＜0.05).The combination of serum vWF,MCP-1,and GDF-15 predicted postpartum hemorrhage in women with PPP better than either factor alone(P＜0.05).Conclusion Combined detection of serum vWF,MCP-1,and GDF-15 levels has predictive value for postpartum hemorrhage in women with PPP.

Objective:To explore the predictive value of serum Dickkopf-related protein 1 (DKK1) and chemokine 21 (CCL21) expression for the pulmonary fibrosis progression in patients with rheumatoid arthritis associated interstitial lung disease (RA-ILD).Methods:A prospective study method was used. One hundred and eight patients with RA-ILD (RA-ILD group) and 108 patients with simple rheumatoid arthritis (RA group) from September 2020 to July 2023 in Jincheng People's Hospital were selected. The patients with RA-ILD were treated with disease-modifying antirheumatic drugs and anti fibrotic drugs. Before treatment, the serum DKK1, CCL21, C-reactive protein (CRP), anti cyclic citrullinated peptide antibody (ACPA), rheumatoid factor (RF), erythrocyte sedimentation rate (ESR) salivary liquefied glycan antigen 6 (KL-6) were detected; the 28 joints disease activity score (DAS28) and Warrick score were assessed. The patients with RA-ILD were followed up for 1 year, and the occurrence of pulmonary fibrosis progression was recorded. The patients with pulmonary fibrosis progression were included in the progressive subgroup and vice versa in the stable subgroup. Multivariate Logistic regression was used to analyze the independent risk factors for predicting pulmonary fibrosis progression within 1 year in patients with RA-ILD. The predictive value of serum DKK1 and CCL21 for predicting the pulmonary fibrosis progression within 1 year in patients with RA-ILD was analyzed by receiver operating characteristic (ROC) curve. The decision curve of serum DKK1 and CCL21 to predict the pulmonary fibrosis progression within 1 year in patients with RA-ILD was plotted using the R language package.Results:The DKK1 in RA-ILD group was significantly lower than that in RA group: (76.02 ± 9.80) ng/L vs. (86.44 ± 9.26) ng/L, the CCL21 was significantly higher than that in RA group: (202.02 ± 25.86) ng/L vs. (172.42 ± 18.35) ng/L, and there were statistical differences ( P<0.01). The patients with RA-ILD were followed up for 1 year, 25 cases (23.15%) developed pulmonary fibrosis progression (progressive subgroup), and 83 cases did not develop pulmonary fibrosis progression (stable subgroup). The Warrick score, CCL21, ACPA and KL-6 in progressive subgroup were significantly higher than those in stable subgroup: (11.80 ± 3.56) scores vs. (7.75 ± 1.81) scores, (224.53 ± 27.26) ng/L vs. (195.25 ± 21.32) ng/L, (452.46 ± 38.35) kU/L vs. (414.37 ± 31.63) kU/L and (466.35 ± 42.32) kU/L vs. (416.82 ± 38.34) kU/L, the DKK1 was significantly lower than that in stable subgroup: (68.65 ± 8.24) ng/L vs. (78.24 ± 9.15) ng/L, and there were statistical differences ( P<0.01); there were no statistical differences in DAS28, RF, ERS and CRP between the two subgroups ( P>0.05). Multivariate Logistic regression analysis result showed that Warrick score, DKK1, CCL21, ACPA and KL-6 were independent risk factors for predicting pulmonary fibrosis progression within 1 year in patients with RA-ILD ( OR = 2.601, 0.752, 1.110, 1.062 and 1.038; 95% CI 1.227 to 5.517, 0.578 to 0.978, 1.019 to 1.209, 1.009 to 1.118 and 1.001 to 1.076; P<0.05). The ROC curve analysis result showed that the area under the curve of DKK1 and CCL21 for predicting pulmonary fibrosis progression within 1 year in patients with RA-ILD was 0.779 and 0.795, with optimal cutoff values of 74.750 and 207.615 ng/L. The area under the curve of DKK1 combined with CCL21 for predicting pulmonary fibrosis progression within 1 year in patients with RA-ILD was 0.873. The decision curve analysis result showed that the DKK1 combined with CCL21 for predicting pulmonary fibrosis progression within 1 year could improve the predictive value (the maximum benefit rate was 23.15%). Conclusions:Compared with RA patients, RA-ILD patients have decreased serum DKK1 levels and increased CCL21 levels. In patients with RA-ILD, the low expression of DKK1 and high expression of CCL21 are the risk factors of pulmonary fibrosis progression, and detecting serum levels of DKK1 and CCL21 can predict the risk of pulmonary fibrosis progression.

Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

Objective:To explore the predictive value of serum Dickkopf-related protein 1 (DKK1) and chemokine 21 (CCL21) expression for the pulmonary fibrosis progression in patients with rheumatoid arthritis associated interstitial lung disease (RA-ILD).Methods:A prospective study method was used. One hundred and eight patients with RA-ILD (RA-ILD group) and 108 patients with simple rheumatoid arthritis (RA group) from September 2020 to July 2023 in Jincheng People's Hospital were selected. The patients with RA-ILD were treated with disease-modifying antirheumatic drugs and anti fibrotic drugs. Before treatment, the serum DKK1, CCL21, C-reactive protein (CRP), anti cyclic citrullinated peptide antibody (ACPA), rheumatoid factor (RF), erythrocyte sedimentation rate (ESR) salivary liquefied glycan antigen 6 (KL-6) were detected; the 28 joints disease activity score (DAS28) and Warrick score were assessed. The patients with RA-ILD were followed up for 1 year, and the occurrence of pulmonary fibrosis progression was recorded. The patients with pulmonary fibrosis progression were included in the progressive subgroup and vice versa in the stable subgroup. Multivariate Logistic regression was used to analyze the independent risk factors for predicting pulmonary fibrosis progression within 1 year in patients with RA-ILD. The predictive value of serum DKK1 and CCL21 for predicting the pulmonary fibrosis progression within 1 year in patients with RA-ILD was analyzed by receiver operating characteristic (ROC) curve. The decision curve of serum DKK1 and CCL21 to predict the pulmonary fibrosis progression within 1 year in patients with RA-ILD was plotted using the R language package.Results:The DKK1 in RA-ILD group was significantly lower than that in RA group: (76.02 ± 9.80) ng/L vs. (86.44 ± 9.26) ng/L, the CCL21 was significantly higher than that in RA group: (202.02 ± 25.86) ng/L vs. (172.42 ± 18.35) ng/L, and there were statistical differences ( P<0.01). The patients with RA-ILD were followed up for 1 year, 25 cases (23.15%) developed pulmonary fibrosis progression (progressive subgroup), and 83 cases did not develop pulmonary fibrosis progression (stable subgroup). The Warrick score, CCL21, ACPA and KL-6 in progressive subgroup were significantly higher than those in stable subgroup: (11.80 ± 3.56) scores vs. (7.75 ± 1.81) scores, (224.53 ± 27.26) ng/L vs. (195.25 ± 21.32) ng/L, (452.46 ± 38.35) kU/L vs. (414.37 ± 31.63) kU/L and (466.35 ± 42.32) kU/L vs. (416.82 ± 38.34) kU/L, the DKK1 was significantly lower than that in stable subgroup: (68.65 ± 8.24) ng/L vs. (78.24 ± 9.15) ng/L, and there were statistical differences ( P<0.01); there were no statistical differences in DAS28, RF, ERS and CRP between the two subgroups ( P>0.05). Multivariate Logistic regression analysis result showed that Warrick score, DKK1, CCL21, ACPA and KL-6 were independent risk factors for predicting pulmonary fibrosis progression within 1 year in patients with RA-ILD ( OR = 2.601, 0.752, 1.110, 1.062 and 1.038; 95% CI 1.227 to 5.517, 0.578 to 0.978, 1.019 to 1.209, 1.009 to 1.118 and 1.001 to 1.076; P<0.05). The ROC curve analysis result showed that the area under the curve of DKK1 and CCL21 for predicting pulmonary fibrosis progression within 1 year in patients with RA-ILD was 0.779 and 0.795, with optimal cutoff values of 74.750 and 207.615 ng/L. The area under the curve of DKK1 combined with CCL21 for predicting pulmonary fibrosis progression within 1 year in patients with RA-ILD was 0.873. The decision curve analysis result showed that the DKK1 combined with CCL21 for predicting pulmonary fibrosis progression within 1 year could improve the predictive value (the maximum benefit rate was 23.15%). Conclusions:Compared with RA patients, RA-ILD patients have decreased serum DKK1 levels and increased CCL21 levels. In patients with RA-ILD, the low expression of DKK1 and high expression of CCL21 are the risk factors of pulmonary fibrosis progression, and detecting serum levels of DKK1 and CCL21 can predict the risk of pulmonary fibrosis progression.