AIM: To investigate the changes of retinal nerve fiber layer(RNFL)thickness, retinal thickness and blood flow density in different stages of diabetic retinopathy(DR)patients based on optical coherence tomography angiography(OCTA).METHODS: A retrospective analysis was conducted on 382 patients(382 eyes)diagnosed with DR in our hospital from February 2023 to February 2024. According to the staging criteria, the patients were divided into mild group(n=121), moderate group(n=133), severe group(n=72), and proliferative group(n=56). The general clinical data of the four groups of patients was compared; OCTA was used to scan and collect data from all patients, and the RNFL thickness, retinal thickness, and blood flow density were compared among the four groups of patients.RESULTS: There was no statistically significant difference in age, gender, hypertension, chronic kidney disease, and random blood glucose among patients in the mild, moderate, severe, and proliferative groups(all P>0.05). As the stage of DR worsened, the duration of the disease gradually prolonged(P<0.05). The thickness of the RNFL(superior, inferior, temporal, nasal, and average thickness)and retinal thickness significantly increased with the severity of DR(all P<0.001); however, there was no statistically significant difference in inferior RNFL thickness between the moderate and mild groups(P>0.05). The blood flow density in the superficial and deep retinal layers, as well as in the choroidal capillary layer, significantly decreased with the progression of DR(all P<0.05). Nevertheless, there was no statistically significant difference in superficial retinal blood flow density between the moderate and severe groups(P>0.05).CONCLUSION: OCTA can accurately observe the changes in RNFL thickness, retinal thickness, and blood flow density in patients with DR at different stages, which can serve as sensitive indicators for monitoring DR progression.

Objective To explore the value of preoperative detection of soluble fragments of cytokeratin-19 (CYFRA21-1), carcinoembryonic antigen (CEA), and postoperative detection of nuclear proliferation associated antigen Ki67 in prognostic evaluation of non-small cell lung cancer patients. Methods The clinicopathological data and follow-up results of patients with non-small cell lung cancer treated in the Department of Thoracic Surgery of the First Affiliated Hospital of Xiamen University in 2017 were collected. CYFRA21-1>3.39 ng/mL was defined as positive, and CEA>5 ng/mL was defined as positive. The receiver operating characteristic curve (ROC curve) of Ki67 expression level was drawn. The maximum area under the curve (AUC) was the cutoff value of Ki67 expression level, and the Ki67 expression level greater than its cutoff value was defined as positive. Cox regression analysis was used to determine the independent risk factors for poor prognosis in patients with non-small cell lung cancer. Results Finally 248 patients were collected, including 125 males and 123 females, with a median age of 61 years (ranging from 30 to 81 years) at the time of surgery. Univariate analysis showed that positive CYFRA21-1, high expression of Ki67, positive CEA, age≥60 years at operation, distant metastasis, lymph node metastasis, maximum tumor diameter>3 cm, and TNM stage Ⅲ were associated with poor prognosis in patients with non-small cell lung cancer. When combined detection of preoperative tumor markers and postoperative Ki67, the prognosis of all negative patients was the best, and that of all positive patients was the worst. Cox regression analysis showed that positive CEA+positive CYFRA21-1+high expression of Ki67 was an independent risk factor for poor prognosis in patients with non-small cell lung cancer (P<0.05). Conclusion The combined detection of preoperative serum CYFRA21-1, CEA, and postoperative Ki67 has important value in evaluating the prognosis of non-small cell lung cancer patients.

Objective To establish a predictive model for survival outcomes of glioma patients based on both brain radiomics features from preoperative MRI multi-sequence images and clinical features.Methods We retrospectively analyzed the MRI images and clinical data of 388 glioma patients and extracted the radiomics features from the peritumoral edema zone,tumor core,and whole tumor on T1,T2,and T1-weighted contrast-enhanced(T1CE)and fluid attenuated inversion recovery(FLAIR)sequences.The cases were divided into a training set(271 cases)and a test set(117 cases).Random survival forest algorithms were used to select the radiomics features associated with overall survival(OS)in the training set to construct a radiomic score(Rad-score),based on which the patients were classified into high-and low-risk groups for Kaplan-Meier survival analysis.Cox proportional hazard regression models for the 3 different tumor zones were constructed,and their performance for predicting 1-and 3-year survival rates was evaluated using 5-fold cross-validation and AUC analysis followed by external validation using data from another 10 glioma patients.The best-performing model was used for constructing a nomogram for survival predictions.Results Five radiomics features from the tumor core,7 from the peritumoral edema zone,and 5 from the whole tumor were selected.In both the training and test sets,the high-and low-risk groups had significantly different OS(P<0.05),and age,IDH status and Rad-score were independent factors affecting OS.The combined model showed better performance than the Rad-score model with AUCs for 1-year and 3-year survival prediction of 0.750 and 0.778 in the training set,0.764 and 0.800 in the test set,and 0.938 and 0.917 in external validation,respectively.Conclusion The predictive model combining preoperative multi-modal MRI radiomics features and clinical features can effectively predict survival outcomes of glioma patients.

Objective To explore the application effect of traditional Chinese medicine rolling egg therapy in the treatment of infantile diarrhea.Methods A retrospective analysis was conducted on the clinical data of children with diarrhea in Dongguan People's Hospital from April 2022 to April 2024.According to the treatment methods,they were divided into the control group and the combination group.The control group was treated with western medicine,while the combination group was combined with traditional Chinese medicine rolling egg therapy on the basis of the control group.7 d was a course of treatment,and a total of 2 courses of treatment was conducted.The clinical efficacy was evaluated,and the durations of clinical symptom changes after treatment were compared.The intestinal flora,immune function[immunoglobulin (Ig) A,IgG,IgM]and inflammatory factors[interleukin (IL)-6,IL-17,tumor necrosis factor (TNF) α]were observed before and after treatment.The treatment safety was analyzed,and the recurrence within 6 months of follow-up was counted.Results A total of 180 patients were included in the study,with 106 in the control group and 74 in the combination group.The total effective rate of the combination group was higher than that of the control group (P<0.05).After treatment,the time to stop diarrhea,reduce fever and change stool properties to normal in the combination group was lower than that in the control group (P<0.05);the number of Bifidobacteria and Lactobacilli in both groups was higher than that before treatment,and the number of combination group was higher than that of the control group (P<0.05);the number of Enterococcus faecalis and the levels of TNF-α,IL-6 and IL-17 were lower than those before treatment in both groups,and these in the combination group were lower than those in the control group (P<0.05);the levels of IgA,IgG and IgM were higher than those before treatment in the combination group (P<0.05),and the IgA level was significantly higher than that of the control group (P<0.05).At 6 months,the recurrence rate of the combination group was lower than that of the control group (P<0.05).Conclusion Traditional Chinese medicine rolling egg therapy combined with western medicine is effective in the treatment of children with diarrhea,and its mechanism may be related to the improvement of immune function,inflammatory response and intestinal flora.

Objective To establish a predictive model for survival outcomes of glioma patients based on both brain radiomics features from preoperative MRI multi-sequence images and clinical features.Methods We retrospectively analyzed the MRI images and clinical data of 388 glioma patients and extracted the radiomics features from the peritumoral edema zone,tumor core,and whole tumor on T1,T2,and T1-weighted contrast-enhanced(T1CE)and fluid attenuated inversion recovery(FLAIR)sequences.The cases were divided into a training set(271 cases)and a test set(117 cases).Random survival forest algorithms were used to select the radiomics features associated with overall survival(OS)in the training set to construct a radiomic score(Rad-score),based on which the patients were classified into high-and low-risk groups for Kaplan-Meier survival analysis.Cox proportional hazard regression models for the 3 different tumor zones were constructed,and their performance for predicting 1-and 3-year survival rates was evaluated using 5-fold cross-validation and AUC analysis followed by external validation using data from another 10 glioma patients.The best-performing model was used for constructing a nomogram for survival predictions.Results Five radiomics features from the tumor core,7 from the peritumoral edema zone,and 5 from the whole tumor were selected.In both the training and test sets,the high-and low-risk groups had significantly different OS(P<0.05),and age,IDH status and Rad-score were independent factors affecting OS.The combined model showed better performance than the Rad-score model with AUCs for 1-year and 3-year survival prediction of 0.750 and 0.778 in the training set,0.764 and 0.800 in the test set,and 0.938 and 0.917 in external validation,respectively.Conclusion The predictive model combining preoperative multi-modal MRI radiomics features and clinical features can effectively predict survival outcomes of glioma patients.

Background: Data on the efficacy and incidence of adverse effects associated with dexmedetomidine (DEX) as a local anesthetic adjuvant for patient-controlled epidural analgesia (PCEA) are inconclusive. This meta-analysis assessed the efficacy and risks of DEX for PCEA using opioids as a reference. Methods: Two researchers independently searched PubMed, Embase, Cochrane Library, and China Biology Medicine for randomized controlled trials comparing DEX and opioids as local anesthetic adjuvants in PCEA. Results: In total, 636 patients from seven studies were included in this meta-analysis. Postoperative patients who received DEX had lower visual analog scale (VAS) scores than those who received opioids at 4–8 h (mean difference [MD]: 0.61, 95% CI [0.45, 0.76], P < 0.001, I2 = 0%), 12 h (MD: 0.85, 95% CI [0.61, 1.09], P < 0.001, I2 = 0%), 24 h (MD: 0.59, 95% CI [0.06, 1.12], P = 0.030, I2 = 82%), and 48 h (MD: 0.54, 95% CI [0.05, 1.02], P = 0.030, I2 = 91%). Additionally, patients who received DEX had a lower incidence of itching (odds ratio [OR]: 2.86, 95% CI [1.18, 6.95], P = 0.020, I2 = 0%) and nausea and vomiting (OR: 6.83, 95% CI [3.63, 12.84], P < 0.001, I2 = 24%). In labor analgesia, no significant differences in neonatal (pH and PaO2 of cord blood, fetal heart rate) or maternal outcomes (duration of labor stage, mode of delivery) were found between the DEX and opioid groups. Conclusions Compared with opioids, using DEX as a local anesthetic adjuvant in PCEA improved postoperative analgesia and reduced the incidence of itching and nausea and vomiting without increasing the incidence of adverse events.

Objective:To analyze the changing trend of intracerebral hemorrhage (ICH) incidence among residents with different characteristics during 9 years of comprehensive hypertension prevention and control (hypertension prevention and control) in Tengzhou from 2013 to 2021.Methods:From January 1, 2013 to December 31, 2021, the new ICH cases collected by the Center for Disease Control and Prevention in Tengzhou City were analyzed to calculate the incidence of ICH, and the trend of its distribution was analyzed among residents with different ages, sexes, and between urban and rural areas. The registered population information came from Tengzhou Public Security Bureau. Age and sex standardized incidence was calculated based on the 7th National Population Census in 2020. The Cochran-Armitage test was used to analyze the time and age trends of the incidence.Results:The overall ICH crude and standardized incidence in Tengzhou City decreased from 97.30/100 000 to 52.13/100 000 ( Z=-9.93, P<0.001) and 119.30/100 000 to 50.69/100 000 ( Z=-15.40, P<0.001) from 2013 to 2021, and both elevated to form a single peak in 2020, with 22.58% ( χ 2=24.02, P<0.001) and 18.09% ( χ 2=17.08, P<0.001) higher than in 2019, respectively. The trends in male and female incidence over the same period were similar to the overall trends, and the incidence was higher in males than in females in all years. The incidence of ICH increased with age in all years. The difference of increase in male incidence rate in 2020 was statistically significant in three age groups ≥45 years compared with 2019 (36.29%, 23.57% and 16.18%, respectively, χ 2=6.73, 4.65, 4.00, P<0.001). The incidence of ICH decreased by 70.07% and 36.23% ( Z=18.44, 5.22, P<0.001) in urban and rural areas respectively from 2013 to 2021, whereas increased by 34.15% ( χ 2=10.88, P<0.01) and 22.08% ( χ 2=18.63, P<0.001) in 2020 compared with 2019 separately. Conclusions:The incidence of ICH in Tengzhou from 2013 to 2021 showed a significant downward trend, with the decrease in the incidence of ICH in women exceeding that in men. The decrease in the incidence of ICH in urban areas exceeded that in rural areas, and male morbidity seemingly had a younger trend.

Objective:To report the first case of sever fever with thrombocytopenia syndrome caused by severe fever with thrombocytopenia syndrome virus (SFTSV) in Puyang city, and to study the epidemiological and molecular characteristics of S, M, L fragments of the SFTSV isolate.Methods:The epidemiological characteristics of this case was analyzed with epidemiological methods. SFTSV was isolated from the patient′s serum sample. Nucleic acid of SFTSV was extracted and detected by fluorescent RT-PCR. A multiplex PCR method was constructed to amplify the nucleic acid sequence of the virus. whole-genome sequencing was performed on the next-generation sequencing platform. MEGA11 and DNAStar was used for homology analysis and a phylogenetic tree was constructed.Results:Epidemiological investigation showed that the patient and his close contacts had no history of travel or tick bite within 14 d, but had a history of fieldwork. The patient′s serum sample was positive for SFTSV nucleic acid. Genetic analysis showed that the S, M, L gene fragments of the first SFTSV isolate in Puyang belonged to genotype E. This isolate shared 94.8%-99.6%, 94.0%-99.8% and 95.7%-99.7% nucleotide sequence homology with the representative strains acquired from GeneBank in S, M, L gene fragments, respectively.Conclusions:This case was the first case of SFTSV-caused severe fever with thrombocytopenia syndrome in Puyang. The SFTSV isolate shared a close homology with domestic isolates, but its genotype was significantly different from the SFTSV strains isolated in Henan in recent years, indicating that it might an imported case from other places in Henan Province or Hubei Province. Disease monitoring and professional training for medical personnel should be strengthened and more attention should be paid to the evolution and mutation of SFTSV.

ObjectiveTo preliminarily establish and verify the quantitative diagnosis method of dampness syndrome of colorectal adenoma， so as to provide evidence for the diagnosis of colorectal adenoma syndrome. MethodsThis study included 334 patients with colorectal adenoma， who were grouped into 200 in the training group and 134 in the validation group by clinical visits chronologically. According to the data from the four examinations of traditional Chinese medicine， patients in training group were subgrouped into dampness syndrome subgroup and non-dampness syndrome subgroup. After eliminating items with response rate less than 3%， the factors showed statistical difference in frequency between the subgroups were screened as diagnostic items. The diagnostic items were assigned scores using the conditional probability formula conversion method， and the diagnostic thresholds and grading criteria were determined by the maximum likelihood discriminant method， so as to establish the quantitative criteria preliminarily. Retrospective and prospective tests were conducted respectively on patients in training group and validation group， including the sensitivity， specificity， accuracy， positive likelihood ratio and other indexes， to evaluate the quantitative criteria. ResultsThe training group included 176 participants as dampness syndrome subgroup and 24 participants as non-dampness syndrome subgroup， who applied 40 diagnostic items， and 19 related factors were identified as significant differences. After assigning the scores in turn， the quantitative diagnostic threshold was determined as 45， and the quantitative diagnostic criteria for colorectal adenoma with dampness syndrome were as follows： greasy coating （7 scores）， thick coating （8 scores）， heaviness of head （9 scores）， heaviness of whole body （6 scores）， heaviness of limbs （6 scores）， sticky and greasy stool （6 scores）， sticky and greasy mouth （10 scores）， obesity （6 scores）， sleepiness （12 scores）， laziness （13 scores）， epigastric fullness （8 scores）， abdominal distension and pain （11 scores）， lumbar and knee aches and heaviness （8 scores）， joint and muscle aches and pains （9 scores）， loose stools （12 scores）， fetid mouth odor （15 scores）， slippery pulse （8 scores）， overabundance of eye secretion （7 scores）， and large touge （10 scores）. Grading criteria： 45 ≤ points ＜ 61 as mild， 61 ≤ points ≤ 104 as moderate， points ＞ 104 as severe. In the test retrospective of the training group involving 200 patients， the sensitivity， specificity， accuracy， and positive likelihood ratio were 86.36%， 95.83%， 87.50%， and 20.73 respectively； In the test prospective of the verification group involving 134 patients， the sensitivity， specificity， accuracy， and positive likelihood ratio were 76.64%%， 96.30%， 80.60%， and 20.69， respectively. ConclusionIt is effective to diagnose and identify the dampness syndrome of colorectal adenoma by preliminarily establish a quantitative diagnostic method with a combined model of disease and evidence， and the method may provide support for future related studies.

ObjectiveTo evaluate the effectiveness and consistency of three commonly used early colorectal cancer screening models for advanced colorectal adenoma as a noninvasive means， and to assess the predictive value of traditional Chinese medicine （TCM） tongue images in the models. MethodsPatients diagnosed with colorectal adenoma who underwent colonoscopy and pathological examination were selected as the study participants. Basic clinical data and tongue image were collected. The prediction models of Asia-Pacific colorectal screening （APCS） model， its revision （M-APCS） and colorectal neoplasia predict （CNP） model were applied to compare the predictive effects of the three models on advanced stage adenomas of the colon， the differences in clinical data and traditional Chinese medicine tongue characteristics among patients with different degrees of adenomas， and the similarities and differences in tongue characteristics among the models. The discriminative ability of the three risk models was evaluated using the area under the curve （AUC） and receiver operating characteristic （ROC） curves. The calibration was assessed using the Kuder-Richardson coefficient and the Hosmer-Lemeshow test for consistency analysis. ResultsA total of 227 patients with adenoma were analyzed， including 104 patients （45.82%） with advanced adenoma. In the detection of advanced adenoma， those with greasy coating （70 cases， 67.3%） were higher than those without greasy coating （34 cases， 32.7%， P＜0.05）. After multivariate analysis， the odds ratio （OR） value of non-greasy coating was 0.371 （0.204~0.673， P＜0.01）， indicating that non-greasy coating was a protective factor for advanced adenomas. Among the three risk models， the detection rate of advanced adenoma in the high-risk group with APCS was the highest （63.3%）， which was 1.49 times and 2.04 times that of the medium-risk group （42.6%） and the low-risk group （31.1%， P＜0.01）. The detection rate of advanced adenomas in high-risk groups of M-APCS and CNP was slightly higher than that in moderate or low risk groups （P＞0.05）. The proportion of yellow and greasy coating in high-risk group was higher than that in the medium-risk or low-risk group （P＜0.05）. For the ability to distinguish advanced and non-advanced adenomas， the AUC of APCS was 0.629 （95% CI： 0.556~0.702） and was higher than that of M-APCS （0.591） and CNP （0.586）. In calibration evaluation， Cronbach's alpha was 0.919 （＞0.7）， which indicated that the three models were consistent. In the correlation matrix， the correlation coefficients between APCS model and M-APCS model， and CNP model were 0.794 and 0.717， respectively， and the correlation coefficients between M-APCS model and CNP model were 0.873， Hosmer-Lemeshow χ² =2.552， P＞0.05， which suggested that the three models had good calibration ability. ConclusionAll three models demonstrate the efficiency to identify advanced colorectal adenoma， and their calibration ability is considered to be good. Among the three models， the APCS exhibits the highest recognition efficiency， however， the recognition accuracy of the APCS model needs improvement. The presence of a greasy coating is identified as one of the potential predictors of advanced adenoma. Consequently， it can be considered for inclusion in the risk model of advanced colorectal adenoma to enhance the accuracy.