OBJECTIVE To explore the changes of microribonucleic acid(miR)-223,miR-155 and miR-125 in the neonates with sepsis and analyze the distribution of pathogens so as to provide bases for clinical diagnosis and treatment of neonates with sepsis.METHODS A total of 39 neonates with sepsis who were treated in Jinan Second Maternal and Child Health Hospital from May 2021 to May 2023 were enrolled in the study and were assigned as the study group,meanwhile,42 healthy neonates who were born in the hospital were chosen as the control group.The distribution and drug resistance of the pathogens isolated from the neonates of the study group were statistically analyzed.The relative expression levels of peripheral blood miR-223,miR-155 and miR-125 were com-pared between the two groups,and the values of the three indexes in diagnosis of neonatal sepsis were analyzed.RESULTS Totally 46 strains of pathogens were isolated from the 39 neonates with sepsis,20 of which were Escherichia coli,and 10 were Staphylococcus aureus.The E.coli strains were resistant to ampicillin,tetra-cycline,ciprofloxacin and cefazolin;the S.aureus strains were resistant to penicillin,erythromycin,cefazolin and clindamycin,with the drug resistance rates higher than 50％.The expression level of miR-223 of the study group was 2.13±0.70,higher than that of the control group,the expression level of miR-125 of the study group was 0.92±0.30,higher than that of the control group;while the expression level of miR-155 of the study group was 2.08±0.68,lower than that of the control group(P＜0.05).The area under the curve(AUC)of the joint detec-tion of miR-223,miR-155 and miR-125 was 0.945 in diagnosis of neonatal sepsis,with the sensitivity 92.31％,the specificity 88.10％.CONCLUSIONS E.coli and S.aureus are dominant among the pathogens isolated from the neonates with sepsis.The neonates with sepsis show abnormal expressions of peripheral blood miR-223,miR-155 and miR-125,and the joint detection of the three indexes has high value in diagnosis of neonatal sepsis.

Objective:To use machine learning to predict the efficacy of accelerated corneal collagen cross-linking (A-CXL) surgery, identify prognostic factors, and construct models to predict postoperative disease progression.Methods:A single-center retrospective study was conducted.A total of 82 keratoconus patients (112 eyes) who underwent A-CXL surgery at the West China Hospital of Sichuan University between March and December 2021 were enrolled.Preoperative and follow-up examinations included anterior segment evaluation by slit-lamp microscopy, corneal topography using Pentacam, and corneal biomechanical indices using Corvis ST.Disease progression was defined as an increase in maximum keratometry (Kmax) of ≥1 D from the preoperative level at the last follow-up.Various machine learning algorithms were employed to analyze corneal topography, biomechanical parameters and corneal densitometry values to identify prognostic factors and construct models for predicting postoperative disease progression.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of West China Hospital, Sichuan University (No.2023496).Written informed consent was obtained from each subject.Results:During follow-up, 15.1% (17/112) of the eyes showed progression after A-CXL.The preoperative astigmatism and stress-strain index (SSI) in the progression group were (-5.41±2.72)D and 1.41±0.78, respectively, which were significantly higher than (-3.30±2.54)D and 0.95±0.98 in the non-progression group ( t=2.80, 2.03; both P<0.05).Cox regression analysis identified preoperative astigmatism (hazard ratio [HR]=1.20), SSI (HR=1.10), and anterior corneal densitometry of 2-6 mm (CDA6) (HR=2.10) as significant risk factors for post-A-CXL progression.Among various machine learning models developed and validated, the area under the curve (AUC) values for logistic regression, multilayer perceptron (MLP) model, and random forest (RF) exceeded 0.700.For F1-score, the AUC values for logistic regression, MLP, and RF were 0.870, 0.880, and 0.880, respectively.The network structure of the visualized MLP was a single-layer, 24-neurons neural network with 80% accuracy in predicting whether progression occurred after A-CXL.The clinical nomogram developed in conjunction with astigmatism, SSI, and CDA6 predicted the cumulative probability of progression at 0.5, 1, and 2 years postoperatively based on the sum of the specified values for each variable, and based on the optimal cutoff value, keratoconus corneas could be classified into high-, intermediate-, and low-risk groups, respectively.The time-dependent subject operating characteristic curves of the nomogram showed AUCs of 0.734, 0.685, and 0.935 at 0.5, 1, and 2 years postoperatively, respectively, all of which performed well in predicting progression. Conclusions:Preoperative astigmatism, SSI, and CDA6 are significant risk factors for post-A-CXL progression in keratoconus.The MLP model can accurately predict postoperative disease progression, and the clinical nomogram combining preoperative astigmatism, SSI, and CDA6 can effectively differentiate between low-, medium-, and high-risk postoperative progression outcomes.

OBJECTIVE To explore the changes of microribonucleic acid(miR)-223,miR-155 and miR-125 in the neonates with sepsis and analyze the distribution of pathogens so as to provide bases for clinical diagnosis and treatment of neonates with sepsis.METHODS A total of 39 neonates with sepsis who were treated in Jinan Second Maternal and Child Health Hospital from May 2021 to May 2023 were enrolled in the study and were assigned as the study group,meanwhile,42 healthy neonates who were born in the hospital were chosen as the control group.The distribution and drug resistance of the pathogens isolated from the neonates of the study group were statistically analyzed.The relative expression levels of peripheral blood miR-223,miR-155 and miR-125 were com-pared between the two groups,and the values of the three indexes in diagnosis of neonatal sepsis were analyzed.RESULTS Totally 46 strains of pathogens were isolated from the 39 neonates with sepsis,20 of which were Escherichia coli,and 10 were Staphylococcus aureus.The E.coli strains were resistant to ampicillin,tetra-cycline,ciprofloxacin and cefazolin;the S.aureus strains were resistant to penicillin,erythromycin,cefazolin and clindamycin,with the drug resistance rates higher than 50％.The expression level of miR-223 of the study group was 2.13±0.70,higher than that of the control group,the expression level of miR-125 of the study group was 0.92±0.30,higher than that of the control group;while the expression level of miR-155 of the study group was 2.08±0.68,lower than that of the control group(P＜0.05).The area under the curve(AUC)of the joint detec-tion of miR-223,miR-155 and miR-125 was 0.945 in diagnosis of neonatal sepsis,with the sensitivity 92.31％,the specificity 88.10％.CONCLUSIONS E.coli and S.aureus are dominant among the pathogens isolated from the neonates with sepsis.The neonates with sepsis show abnormal expressions of peripheral blood miR-223,miR-155 and miR-125,and the joint detection of the three indexes has high value in diagnosis of neonatal sepsis.

Toxoplasmosis is a zoonotic disease caused by infection with Toxoplasma gondii. Congenital toxoplasmosis is a common form of intrauterine infection and is associated with severe neurological sequelae such as cerebral palsy and cognitive impairment. This report presented the magnetic resonance imaging (MRI) features of a fetal intracranial toxoplasmosis case, including bilateral ventriculomegaly, multiple intracranial cystic lesions, and parenchymal calcifications, without concurrent retinal abnormalities or hepatosplenomegaly. Post-termination analyses confirmed the presence of T.gondii DNA in amniotic fluid and umbilical venous blood, with histopathology revealing necrosis and eosinophilic infiltration. MRI demonstrates superior soft-tissue resolution in evaluating the extent of cerebral lesions and parenchymal damage, underscoring its diagnostic value in fetal toxoplasmic encephalopathy.

Objective:To use machine learning to predict the efficacy of accelerated corneal collagen cross-linking (A-CXL) surgery, identify prognostic factors, and construct models to predict postoperative disease progression.Methods:A single-center retrospective study was conducted.A total of 82 keratoconus patients (112 eyes) who underwent A-CXL surgery at the West China Hospital of Sichuan University between March and December 2021 were enrolled.Preoperative and follow-up examinations included anterior segment evaluation by slit-lamp microscopy, corneal topography using Pentacam, and corneal biomechanical indices using Corvis ST.Disease progression was defined as an increase in maximum keratometry (Kmax) of ≥1 D from the preoperative level at the last follow-up.Various machine learning algorithms were employed to analyze corneal topography, biomechanical parameters and corneal densitometry values to identify prognostic factors and construct models for predicting postoperative disease progression.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of West China Hospital, Sichuan University (No.2023496).Written informed consent was obtained from each subject.Results:During follow-up, 15.1% (17/112) of the eyes showed progression after A-CXL.The preoperative astigmatism and stress-strain index (SSI) in the progression group were (-5.41±2.72)D and 1.41±0.78, respectively, which were significantly higher than (-3.30±2.54)D and 0.95±0.98 in the non-progression group ( t=2.80, 2.03; both P<0.05).Cox regression analysis identified preoperative astigmatism (hazard ratio [HR]=1.20), SSI (HR=1.10), and anterior corneal densitometry of 2-6 mm (CDA6) (HR=2.10) as significant risk factors for post-A-CXL progression.Among various machine learning models developed and validated, the area under the curve (AUC) values for logistic regression, multilayer perceptron (MLP) model, and random forest (RF) exceeded 0.700.For F1-score, the AUC values for logistic regression, MLP, and RF were 0.870, 0.880, and 0.880, respectively.The network structure of the visualized MLP was a single-layer, 24-neurons neural network with 80% accuracy in predicting whether progression occurred after A-CXL.The clinical nomogram developed in conjunction with astigmatism, SSI, and CDA6 predicted the cumulative probability of progression at 0.5, 1, and 2 years postoperatively based on the sum of the specified values for each variable, and based on the optimal cutoff value, keratoconus corneas could be classified into high-, intermediate-, and low-risk groups, respectively.The time-dependent subject operating characteristic curves of the nomogram showed AUCs of 0.734, 0.685, and 0.935 at 0.5, 1, and 2 years postoperatively, respectively, all of which performed well in predicting progression. Conclusions:Preoperative astigmatism, SSI, and CDA6 are significant risk factors for post-A-CXL progression in keratoconus.The MLP model can accurately predict postoperative disease progression, and the clinical nomogram combining preoperative astigmatism, SSI, and CDA6 can effectively differentiate between low-, medium-, and high-risk postoperative progression outcomes.

Toxoplasmosis is a zoonotic disease caused by infection with Toxoplasma gondii. Congenital toxoplasmosis is a common form of intrauterine infection and is associated with severe neurological sequelae such as cerebral palsy and cognitive impairment. This report presented the magnetic resonance imaging (MRI) features of a fetal intracranial toxoplasmosis case, including bilateral ventriculomegaly, multiple intracranial cystic lesions, and parenchymal calcifications, without concurrent retinal abnormalities or hepatosplenomegaly. Post-termination analyses confirmed the presence of T.gondii DNA in amniotic fluid and umbilical venous blood, with histopathology revealing necrosis and eosinophilic infiltration. MRI demonstrates superior soft-tissue resolution in evaluating the extent of cerebral lesions and parenchymal damage, underscoring its diagnostic value in fetal toxoplasmic encephalopathy.

Objective:To investigate the epidemiological characteristics of herpangina (HA) and its correlation with the incidence of hand, foot and mouth disease (HFMD) in children aged ≤6 years in Yinzhou District of Ningbo from 2017 to 2022.Methods:Epidemiological characteristics of HA in children aged ≤6 years were analyzed based on the electronic medical record data and public health management data from 2017 to 2022 collected from the Health Information Platform of Yinzhou. The incidence of HFMD was calculated using the infectious disease reporting data from the public health management data. Autoregressive integrated moving average model and cross-correlation function were used to evaluate the correlation between the incidence of HA and HFMD.Results:From 2017 to 2022, a total of 25 385 cases of HA were detected in children aged ≤6 years in Yinzhou, the male-to-female ratio of the cases was 1.12∶1. The average annual incidence of HA was 4 986.67/100 000, with the highest incidence in 2018 (10 477.09/100 000) and the lowest incidence in 2020 (870.88/100 000). The incidence peak of HA was during June to July. The incidence of HA was higher in age group 1 year (7 950.45/100 000) than in other age groups. The incidences of HA in Yunlong, Jiangshan and Xiaying were higher, with the incidence of 8 764.31/100 000, 8 377.58/100 000 and 7 965.31/100 000, respectively. The correlation coefficients between the incidence of HA and HFMD at lag day 0, 7, 12 and 18 were 0.199, 0.139, 0.090 and 0.086, respectively (all P<0.05). Conclusions:From 2017 to 2022, the incidence of HA was high in children aged ≤6 years in Yinzhou with obvious seasonality and area difference. The incidence of HA was correlated with the incidence of HFMD and the incidence of HFMD had certain lags. The comprehensive prevention and control of HA and HFMD should be further strengthened by prioritizing HA surveillance and implementing integrated surveillance and management of HA and HFMD.

AIM: To report three cases of viral keratitis caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2).METHODS: Slit lamp, intraocular pressure, corneal fluorescence staining, anterior segment photography, in vivo confocal microscopy(IVCM), and routine fundus screening were performed in the three confirmed patients. Treatment involved Ganciclovir, artificial tears and glucocorticoid eye drops.RESULTS: Three patients with SARS-CoV-2 keratitis(SCK)recovered well after standard treatment.CONCLUSION: SARS-CoV-2 keratitis typically presents as corneal subepithelial infiltration and can result in a decrease in corneal subepithelial nerve fiber density and an increase in dendritic cells(DC). Antiviral therapy in combination with glucocorticoid has proven to be effective.

OBJECTIVE: To review the research progress in biotherapy of rotator cuff injury in recent years, in order to provide help for clinical decision-making of rotator cuff injury treatment. METHODS: The literature related to biotherapy of rotator cuff injury at home and abroad in recent years was widely reviewed, and the mechanism and efficacy of biotherapy for rotator cuff injury were summarized from the aspects of platelet-rich plasma (PRP), growth factors, stem cells, and exosomes. RESULTS: In order to relieve patients' pain, improve upper limb function, and improve quality of life, the treatment of rotator cuff injury experienced an important change from conservative treatment to open surgery to arthroscopic rotator cuff repair. Arthroscopic rotator cuff repair plus a variety of biotherapy methods have become the mainstream of clinical treatment. All kinds of biotherapy methods have ideal mid- and long-term effectiveness in the repair of rotator cuff injury. The biotherapy method to promote the healing of rotator cuff injury is controversial and needs to be further studied. CONCLUSION All kinds of biotherapy methods show a good effect on the repair of rotator cuff injury. It will be an important research direction to further develop new biotherapy technology and verify its effectiveness.
Humans ; Rotator Cuff Injuries/therapy* ; Quality of Life ; Arthroplasty ; Exosomes ; Neurosurgical Procedures

Objective::This study focused on the prediction of preterm birth (PTB). It aimed to identify the transcriptomic signature essential for the occurrence of PTB and evaluate its predictive value in early, mid, and late pregnancy and in women with threatened preterm labor (TPTL).Methods::Blood transcriptome data of pregnant women were obtained from the Gene Expression Omnibus database. The activity of biological signatures was assessed using gene set enrichment analysis and single-sample gene set enrichment analysis. The correlation among molecules in the interleukin 6 (IL6) signature and between IL6 signaling activity and the gestational week of delivery and latent period were evaluated by Pearson correlation analysis. The effects of molecules associated with the IL6 signature were fitted using logistic regression analysis; the predictive value of both the IL6 signature and IL6 alone were evaluated using receiver operating characteristic curves and pregnancy maintenance probability was assessed using Kaplan-Meier analysis. Differential analysis was performed using the DEseq2 and limma algorithms.Results::Circulatory IL6 signaling activity increased significantly in cases with preterm labor than in those with term pregnancies (normalized enrichment score (NES) = 1.857, P = 0.001). The IL6 signature (on which IL6 signaling is based) was subsequently considered as the candidate biomarker for PTB. The area under the curve (AUC) values for PTB prediction (using the IL6 signature) in early, mid, and late pregnancy were 0.810, 0.695, and 0.779, respectively; these values were considerably higher than those for IL6 alone. In addition, the pregnancy curves of women with abnormal IL6 signature differed significantly from those with normal signature. In pregnant women who eventually had preterm deliveries, circulatory IL6 signaling activity was lower in early pregnancy (NES = -1.420, P = 0.031) and higher than normal in mid (NES = 1.671, P = 0.002) and late pregnancy (NES = 2.350, P < 0.001). In women with TPTL, the AUC values for PTB prediction (or PTB within 7 days and 48 hours) using the IL6 signature were 0.761, 0.829, and 0.836, respectively; the up-regulation of IL6 signaling activity and its correlation with the gestational week of delivery ( r = -0.260, P = 0.001) and latency period ( r = -0.203, P = 0.012) were more significant than in other women. Conclusion::Our findings suggest that the IL6 signature may predict PTB, even in early pregnancy (although the predictive power is relatively weak in mid pregnancy) and is particularly effective in symptomatic women. These findings may contribute to the development of an effective predictive and monitoring system for PTB, thereby reducing maternal and fetal risk.