AIM: To explore the accuracy and consistency of predicting postoperative vault in implantable collamer lens(ICL)surgery based on the NK and KS formulas of CASIA2 OCT.METHODS: Retrospective case study. The study included 85 patients(170 eyes)who underwent ICL implantation for the correction of moderate to high myopia at the Refractive Surgery Center of Lunan Eye Hospital from October 2022 to October 2023. Routine examinations including ultrasound biomicroscopy(UBM), corneal endothelium assessment, optometry, intraocular pressure measurement, fundus examination, and corneal topography were performed. Patients who met the indications for ICL surgery were selected, and the recommended lens size was determined based on parameters such as corneal diameter and anterior chamber depth using standard methods. A CASIA2 OCT examination was used to obtain the corresponding lens size and predicted vault using the NK and KS formulas. The differences and consistency between the predicted vault by NK and KS formulas and the actual vault at 1 wk, 1, 3, and 6 mo postoperatively were analyzed. Paired t-tests were used to analyze the differences between the predicted vault by NK and KS formulas and the actual vault at each postoperative time point. The consistency between the predicted vault by NK and KS formulas and the actual vault at each time point was assessed using Bland-Altman analysis. Multivariate linear regression was used to analyze the correlation between actual vault and various anterior segment parameters.RESULTS: The NK formula showed statistically significant differences between the predicted values and the actual vault at 1, 3, and 6 mo postoperatively(all P<0.05), but no statistically significant difference was observed compared to the actual vault at 1 wk postoperatively(P=0.340). The KS formula demonstrated a statistically significant difference between the predicted values and the actual vault measured at 6 mo postoperatively(P<0.05). The lens vector height and lens model were influcing facotrs for the vault at 6 mo postoperatively(all P<0.05). Both the NK formula and KS formula had the highest consistency between their predicted vault and the actual vault at 6 mo postoperatively.CONCLUSION: The NK and KS formulas of CASIA2 OCT showed the highest consistency between the predicted postoperative vault and the actual vault at 6 mo postoperatively. Both formulas can serve as effective references for ICL model selection.

Cancer is the result of evolving crosstalk between neoplastic cell and its immune microenvironment. In recent years, immune therapeutics targeting T lymphocytes, such as immune checkpoint blockade (ICB) and CAR-T, have made significant progress in cancer treatment and validated targeting immune cells as a promising approach to fight human cancers. However, responsiveness to the current immune therapeutic agents is limited to only a small proportion of solid cancer patients. As major components of most solid tumors, myeloid cells played critical roles in regulating the initiation and sustentation of adaptive immunity, thus determining tumor progression as well as therapeutic responses. In this review, we discuss emerging data on the diverse functions of myeloid cells in tumor progression through their direct effects or interactions with other immune cells. We explain how different metabolic reprogramming impacts the characteristics and functions of tumor myeloid cells, and discuss recent progress in revealing different mechanisms-chemotaxis, proliferation, survival, and alternative sources-involved in the infiltration and accumulation of myeloid cells within tumors. Further understanding of the function and regulation of myeloid cells is important for the development of novel strategies for therapeutic exploitation in cancer.
Humans ; Tumor Microenvironment/immunology* ; Myeloid Cells/immunology* ; Neoplasms/therapy* ; Animals

OBJECTIVE: To explore the feasibility of incorporating simple bedside indicators into death predictive model for elderly critically ill patients based on interpretability machine learning algorithms, providing a new scheme for clinical disease assessment. METHODS: Elderly critically ill patients aged ≥ 65 years who were hospitalized in the intensive care unit (ICU) of Tacheng People's Hospital of Ili Kazak Autonomous Prefecture from June 2017 to May 2020 were retrospectively selected. Basic parameters including demographic characteristics, basic vital signs and fluid intake and output within 24 hours after admission, as well acute physiology and chronic health evaluation II (APACHE II), Glasgow coma score (GCS) and sequential organ failure assessment (SOFA) were also collected. According to outcomes in hospital, patients were divided into survival group and death group. Four datasets were constructed respectively, namely baseline dataset (B), including age, body temperature, heart rate, pulse oxygen saturation, respiratory rate, mean arterial pressure, urine output volume, infusion volume, and crystal solution volume; B+APACHE II dataset (BA), B+GCS dataset (BG), and B+SOFA dataset (BS). Then three machine learning algorithms, Logistic regression (LR), extreme gradient boosting (XGboost) and gradient boosting decision tree (GBDT) were used to develop the corresponding mortality predictive models within four datasets. The feature importance histogram of each prediction model was drawn by SHapley additive explanation (SHAP) method. The area under curve (AUC), accuracy and F1 score of each model were compared to determine the optimal prediction model and then illuminate the nomogram. RESULTS: A total of 392 patients were collected, including 341 in the survival group and 51 in the death group. There were statistically significant differences in heart rate, pulse oxygen saturation, mean arterial pressure, infusion volume, crystal solution volume, and etiological distribution between the two groups. The top three causes of death were shock, cerebral hemorrhage, and chronic obstructive pulmonary disease. Among the 12 prognostic models trained by three machine learning algorithms, overall performance of prognostic models based on B dataset was behind, whereas the LR model trained by BA dataset achieved the best performance than others with AUC of 0.767 [95% confidence interval (95%CI) was 0.692-0.836], accuracy of 0.875 (95%CI was 0.837-0.903) and F1 score of 0.190. The top 3 variables in this model were crystal solution volume with first 24 hours, heart rate and mean arterial pressure. The nomogram of the model showed that the total score between 150 and 230 were advisable. CONCLUSION The interpretable machine learning model including simple bedside parameters combined with APACHE II score could effectively identify the risk of death in elderly patients with critically illness.
Humans ; Critical Illness ; Machine Learning ; Aged ; Algorithms ; Intensive Care Units ; Retrospective Studies ; APACHE ; Prognosis ; Organ Dysfunction Scores ; Hospital Mortality ; Male ; Female

By conducting retrospective analysis, this study aim to investigate the resistance mechanism of quinolones in non-typhoidal Salmonella (NTS). A total of 105 strains of NTS isolated from clinical specimens from the Fifth Affiliated Hospital of Southern Medical University from May 2020 to February 2021 were used as research objects. VITEK2 Compact automatic identification drug sensitivity analysis system and serological test were used to identify the strains. The sensitivity of the strains to ciprofloxacin, levofloxacin and nalidixic acid was detected by AGAR dilution method. The whole genome of 105 strains of NTS was sequenced. Abricate and other softwares were used to analyze drug-resistant genes, including plasmid-mediated quinolone resistance gene (PMQR) and Quinolone resistance determination region (QRDR). Serotypes and ST types were analyzed using SISTR and MLST, and phylogenetic trees were constructed. The results showed that the NTS isolated in this region were mainly ST34 Salmonella typhimurium (53.3%). The drug sensitivity results showed that the drug resistance rates of NTS to ciprofloxacin, levofloxacin and nalidixic acid were 30.4%, 1.9% and 22.0%, respectively, and the intermediate rates of ciprofloxacin and levofloxacin were 27.6% and 54.2%.A total of 46 (74.2%) of the 62 quinolone non-susceptible strains carried the PMQR gene, mainly qnrS1 (80.4%), followed by aac(6′)-Ib-cr(15.2%); there were 14 NTS and 8 NTS had gyrA and parC gene mutations, respectively. The gyrA was mutations at the amino acid position 87, Asp87Tyr, Asp87Asn, Asp87Gly, and Thr57Ser mutations were detected in parC. In conclusion, this study found that NTS had relatively high resistance to quinolones, carrying qnrS1 gene mainly resulted in decreased sensitivity of NTS to ciprofloxacin and levofloxacin, and gyrA:87 mutation mainly resulted in NTS resistance to Nalidixic acid; Salmonella typhimurium in clinical isolates showed clonal transmission and required further epidemiological surveillance.

By conducting retrospective analysis, this study aim to investigate the resistance mechanism of quinolones in non-typhoidal Salmonella (NTS). A total of 105 strains of NTS isolated from clinical specimens from the Fifth Affiliated Hospital of Southern Medical University from May 2020 to February 2021 were used as research objects. VITEK2 Compact automatic identification drug sensitivity analysis system and serological test were used to identify the strains. The sensitivity of the strains to ciprofloxacin, levofloxacin and nalidixic acid was detected by AGAR dilution method. The whole genome of 105 strains of NTS was sequenced. Abricate and other softwares were used to analyze drug-resistant genes, including plasmid-mediated quinolone resistance gene (PMQR) and Quinolone resistance determination region (QRDR). Serotypes and ST types were analyzed using SISTR and MLST, and phylogenetic trees were constructed. The results showed that the NTS isolated in this region were mainly ST34 Salmonella typhimurium (53.3%). The drug sensitivity results showed that the drug resistance rates of NTS to ciprofloxacin, levofloxacin and nalidixic acid were 30.4%, 1.9% and 22.0%, respectively, and the intermediate rates of ciprofloxacin and levofloxacin were 27.6% and 54.2%.A total of 46 (74.2%) of the 62 quinolone non-susceptible strains carried the PMQR gene, mainly qnrS1 (80.4%), followed by aac(6′)-Ib-cr(15.2%); there were 14 NTS and 8 NTS had gyrA and parC gene mutations, respectively. The gyrA was mutations at the amino acid position 87, Asp87Tyr, Asp87Asn, Asp87Gly, and Thr57Ser mutations were detected in parC. In conclusion, this study found that NTS had relatively high resistance to quinolones, carrying qnrS1 gene mainly resulted in decreased sensitivity of NTS to ciprofloxacin and levofloxacin, and gyrA:87 mutation mainly resulted in NTS resistance to Nalidixic acid; Salmonella typhimurium in clinical isolates showed clonal transmission and required further epidemiological surveillance.

Objective To investigate the impact of overwork on vascular endothelial barrier function in mice.Methods Thirty KM mice were randomized equally into control,overwork for 2 weeks(W2)group and 4 weeks(W4)group.In the latter two groups,the mice were subjected to continuous standing in water for 8 h followed by restraint for 3 h to simulate overwork on a daily basis for 2 and 4 weeks.After modeling,4 mice from each group were intraperitoneally injected with Evans blue dye to assess vascular permeability.In the other 6 mice,serum IL-1β levels were measured using ELISA,and arterial tissues were collected for histological examination and detection of mRNA expressions of occludin,claudin-5,ZO-1,JAM-A and VE-cadherin;immunofluorescence assay was used to detect the protein expressions of claudin-5,ZO-1,VE-cadherin,and Syndecan-1.Results The mice in W2 and W4 groups exhibited slower weight gain,hair loss,reduced activity,and significantly increased serum IL-1β levels.Vascular permeability was significantly increased in W4 group.In W2 group,the endothelial cells were swollen and dissociated,and the intima was rough and irregular;arterial intimal rupture was observed in W4 group.The mRNA expressions of occludin,claudin-5,ZO-1 and JAM-A in the arterial tissues were significantly increased in W2 group but decreased in W4 group,while VE-cadherin mRNA expression were reduced in both groups(P<0.05).The protein expressions of claudin-5,ZO-1,VE-cadherin,and Syndecan-1 were all significantly reduced in W4 group.Conclusion Prolonged overwork can cause damage of the intercellular junction complexes in arterial endothelial cells and the endothelial glycocalyx to result in impaired barrier function and increased vascular permeability in mice.

Objective To investigate the impact of overwork on vascular endothelial barrier function in mice.Methods Thirty KM mice were randomized equally into control,overwork for 2 weeks(W2)group and 4 weeks(W4)group.In the latter two groups,the mice were subjected to continuous standing in water for 8 h followed by restraint for 3 h to simulate overwork on a daily basis for 2 and 4 weeks.After modeling,4 mice from each group were intraperitoneally injected with Evans blue dye to assess vascular permeability.In the other 6 mice,serum IL-1β levels were measured using ELISA,and arterial tissues were collected for histological examination and detection of mRNA expressions of occludin,claudin-5,ZO-1,JAM-A and VE-cadherin;immunofluorescence assay was used to detect the protein expressions of claudin-5,ZO-1,VE-cadherin,and Syndecan-1.Results The mice in W2 and W4 groups exhibited slower weight gain,hair loss,reduced activity,and significantly increased serum IL-1β levels.Vascular permeability was significantly increased in W4 group.In W2 group,the endothelial cells were swollen and dissociated,and the intima was rough and irregular;arterial intimal rupture was observed in W4 group.The mRNA expressions of occludin,claudin-5,ZO-1 and JAM-A in the arterial tissues were significantly increased in W2 group but decreased in W4 group,while VE-cadherin mRNA expression were reduced in both groups(P<0.05).The protein expressions of claudin-5,ZO-1,VE-cadherin,and Syndecan-1 were all significantly reduced in W4 group.Conclusion Prolonged overwork can cause damage of the intercellular junction complexes in arterial endothelial cells and the endothelial glycocalyx to result in impaired barrier function and increased vascular permeability in mice.

Objective: To examine the association of 24 hour movement behaviors with emotional and behavioral problems among left behind children, so as to provide a theoretical reference for the practice of 24 hour activity interventions to promote emotional and behavioral problems in this population. Methods: From February to May 2023, 1 117 left behind children in grades 4-6 from 10 primary schools in five cities in Zhejiang Province were selected using a convenient cluster sampling method to conduct a questionnaire survey examining 24 hour movement behaviors, as well as emotional and behavioral problems. The general linear model was adopted to analyze the association between satisfying the 24 hour movement behavior guidelines, and emotional and behavioral problems among left behind children. Results: The sleep duration compliance rate was the highest (52.19%), while the moderate-to-vigorous PA (MVPA) compliance rate was the lowest (17.73%). The compliance rate of the three activities accounted for 7.43 %. There was a dose response between the number of guidelines satisfied, and the emotional and behavior of left behind children; that was, satisfaction of a higher number of guidelines was associated with a lower risk of emotional and behavioral problems among left behind children (difficulty factor: β=-0.56, 95%CI =-1.23--0.19; strength factor: β=0.50, 95%CI =-0.48-1.22, P < 0.01). Compared to satisfying none of the guidelines, satisfying the guidelines for screen time ( β=-0.23, 95%CI =-2.18- -0.14 ) and sleep duration ( β=-0.13, 95%CI =-1.66--0.11) was negatively correlated with the difficulty factor, while satisfying the guideline for MVPA ( β=0.13, 95%CI =0.09-1.08) and sleep duration ( β=0.18, 95%CI =0.09-1.40) was positively associated with the strength factor. In addition, satisfying two or all three of the guidelines was more strongly associated with these outcomes than satisfying one of the recommendations ( P <0.01). Conclusions Meeting the 24 hour movement behavior guidelines can improve emotional and behavioral problems among left behind children. It is necessary to raise their awareness of the effect of satisfying the 24 hour movement behavior guidelines and formulate comprehensive intervention measures.