Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Objective:To investigate the effects of different feeding formulas on the feeding and growth and metabolism of premature infants in the early postnatal period.Methods:Eligible premature infants with the gestational age of ≤ 34 weeks hospitalized from March 2023 to March 2024 were selected as per inclusion criteria, excluding those with congenital metabolic diseases, severe congenital heart disease and developmental malformations of digestive tract. According to the feeding formulas within 2 weeks after birth, premature infants were divided into three groups, namely donor human milk (DHM) group, preterm formula (PF) group and extensively hydrolyzed formula (eHF) group. The characteristics of premature infants, perinatal condition, feeding formulas, milk intake on the 7th and 14th day, the time to the daily milk intake of 120ml/kg and 150ml/kg respectively, the time on parenteral nutrition, the length of hospitalization, feeding intolerance, cholestasis, extrauterine growth retardation and biochemical metabolic indexes at 7 days, 14 days and discharge were collected. The differences of feeding and biochemical metabolic parameters were compared across the three groups.Results:A total of 108 cases were enrolled ,of whom 39 were in DHM group, 37 in PF group and 32 in eHF group. There was no significant difference in gestational age, birth weight, head circumference and maternal complications across the three groups. The milk intake in the DHM group was (50.7±29.1) ml/(kg·d) on the 7th day, compared with (34.2±27.3) ml/(kg·d) in PF group ( P=0.031), and (103.1±36.7) ml/(kg·d) on the 14th day, compared with (73.9±39.2) ml/(kg·d) in the PF group. Compared with the PF group, the DHM group reached the daily milk intake of 120 ml/(kg·d) earlier [(18.5±10.4) days vs. (24.1±10.3) days, P=0.020], had shorter duration of parenteral nutrition [(17.9±10.9) days vs. (23.2±11.2) days, P=0.042], and lower incidence of feeding intolerance (28.2% vs. 48.6%). The length of hospitalization in DHM group was shorter than that in PF group [(33.8±15.5) days vs. (37.8±17.6) days], but there was no significant difference ( P>0.05). There was no significant difference between the DHM group and the eHF group in terms of the milk intake on the 7th and 14th day, the time to the daily milk intake of 120 ml/(kg·d), the time on parenteral nutrition, the length of hospitalization and feeding intolerance. At 1 and 2 weeks after birth, alkaline phosphatase in DHM group was higher than that in PF group and eHF group ( P<0.05), but there was no significant difference in biochemical nutritional metabolism parameters (hemoglobin, urea nitrogen, albumin, prealbumin, alkaline phosphatase and total bile acid) across the three groups at discharge( P>0.05). Conclusion:Early use of DHM in premature infants is better tolerated than PF and can help achieve complete enteral nutrition earlier and shorten the use of parenteral nutrition, while not affecting the growth and development of premature infants.

Objective:To systematically retrieve, evaluate and summarize the best evidence of exercise management for adolescents with type 2 diabetes mellitus (T2DM), so as provide reference for medical and nursing staff to guide patients and their families to exercise.Methods:Clinical decisions, recommended practices, evidence summaries, guidelines, expert consensuses, and systematic reviews on exercise management of adolescents with T2DM were electronically searched on BMJ Best Practice, UpToDate, Registered Nurses' Association of Ontario, National Guideline Clearinghouse, National Institute for Health and Clinical Excellence, Scottish Intercollegiate Guidelines Network, International Society for Pediatric and Adolescent Diabetes, Medlive, Joanna Briggs Institute Evidence-Based Health Care Center Database, Cochrane Library, PubMed, Web of Science, Embase, China National Knowledge Infrastructure, WanFang Data, Chinese Biology Medicine Disc, VIP and other databases. The search period was from database establishment to March 2023. After independent literature screening and quality evaluation by two researchers, evidence was extracted, summarized, and graded based on the theme.Results:A total of 10 articles were selected, including three guidelines, three systematic reviews, three expert consensuses, and one evidence summary. Finally, 22 pieces of best evidence of exercise management for adolescents with T2DM were summarized from seven aspects, including contraindications to exercise, exercise form, exercise intensity, exercise frequency, precautions, weight loss goals, family participation.Conclusions:This study summarizes the best evidence for exercise management in adolescents with T2DM. It is recommended that clinical medical and nursing staff should carry out personalized exercise management suitable for patients based on the wishes and preferences of patients and families, actual clinical situations, and support for exercise resources.

Objective:To investigate the prognostic significance of DTA(DNMT3A,TET2,ASXL1)gene mutations in patients with non-M3 acute myeloid leukemia(AML).Methods:The clinical data of 180 newly diagnosed AML patients hospitalized in the First People's Hospital of Changzhou from January 2018 to April 2022 were retrospectively analyzed.Next-generation sequencing technology was used to detect 150 gene mutations in the patients,and log-rank tests and Cox regression models were used to analyze the prognostic factors.Results:DTA gene mutations were detected in 83(46.1％)of 180 AML patients.Compared to patients without DTA mutations,patients with DTA mutations were significantly older(P＜0.001).The median overall survival(OS)time and disease-free survival(DFS)time in the DTA mutation group were significantly shorter than those in the group without DTA mutation(both P＜0.05).Multivariate analysis showed that age ≥ 60 years(P＜0.001),with DTA mutation(P=0.018),and intermediate-risk(relative to favorable-risk)(P=0.005)were independent risk factors for OS in AML patients.Conclusion:AML patients with DTA mutations are relatively older,with shorter median OS time and DFS time,and poor prognosis.

Objective:To evaluate the diagnostic efficacy of the novel prostate specific membrane antigen (PSMA)-targeted PET imaging agent 18F-AlF-P16-093 in combination with multiparametric MRI (mpMRI) for prostate cancer (PCa), and to explore its application in guiding transperineal puncture biopsy. Methods:A retrospective analysis was conducted on the clinical and pathological data of 36 patients diagnosed as PCa (age: 68-76 years) who underwent 18F-AlF-P16-093 PET/CT and mpMRI examinations at the First Affiliated Hospital of Guangzhou Medical University from August 2023 to March 2024. The entire prostate was divided into 12 regions based on biopsy localization. Imaging evaluations were performed using PET/CT and mpMRI at the lesion level, with biopsy pathology as the gold standard. The correlations between mpMRI scores, PET/CT scores and pathological diagnosis results were evaluated by Phi coefficient analysis. Diagnostic efficacy was assessed by ROC curve analysis. Logistic regression was used to determine the impact of bleeding on image interpretation. Results:18F-AlF-P16-093 PET/CT showed a moderate positive correlation with pathological diagnosis result ( Phi=0.415, P<0.001), which was superior to mpMRI ( Phi=0.338, P<0.001). The diagnostic efficacy of PET single-modality model was superior to mpMRI in all indicators. The combination of 18F-AlF-P16-093 PET/CT with mpMRI significantly improved diagnostic specificity and positive predictive value, with the diagnostic specificity of the PET+ T 2 weighted imaging (WI)+ diffusion WI (DWI) and PET+ T 2WI+ DWI+ apparent diffusion coefficient (ADC) combinations exceeding 90%, and the positive predictive value exceeding 80%. Bleeding did not significantly affect the diagnosis of PCa by mpMRI and PET/CT (odds ratio ( OR): 0.463-0.785, all P>0.05). Conclusion:18F-AlF-P16-093 PET/CT is superior to mpMRI in the detection and diagnostic efficacy of PCa lesions, and the combination of 18F-AlF-P16-093 PET with mpMRI can further improve diagnostic specificity and positive predictive value, which is of guiding significance for targeted prostate biopsy.

Objective:To establish a predictive scoring model for bladder neck contracture(BNC)after laparoscopic enuclea-tion of the prostate with preservation of the urethra(Madigan surgery)and explore the preventive measures against this postoperative complication.Methods:We included 362 cases of BPH treated by laparoscopic Madigan surgery from January 2019 to March 2022(45 with and 317 without postoperative BNC)in the training group and another 120 cases treated the same way in the verification group,collected the clinical data on the patients and evaluated the results of surgery.Using the least absolute shrinkage and selection operator(LASSO)and multivariate logistic regression,we analyzed the risk factors for postoperative BNC and constructed a predictive scoring model for evaluation of the factors.Results:Compared with the baseline,the IPSS,quality of life(QOL)score and postvoid residual urine volume(PVR)were significantly decreased(P＜0.05)while the maximum urinary flow rate(Qmax)remarkably in-creased(P＜0.05)in the BPH patients at 3 months after surgery.Eight non-zero characteristic predictors were identified by LASSO regression analysis.Multivariate logistic regression analysis showed that short clinical experience of the surgeon,concurrent prostatitis,bladder rinse solution temperature＜34℃,catheter blockage,urethral balloon injection volume＞40 ml and postoperative constipation were independent risk factors for postoperative BNC(P＜0.05).The best cut-off value was 2.36 points in both the training and the verification groups.The results of evaluation exhibited a high discriminability of the predictive scoring model.Conclusion:Laparo-scopic Madigan surgery is a safe and effective method for the treatment of BPH.Short clinical experience of the surgeon,concurrent prostatitis,bladder rinse solution temperature＜34℃,catheter blockage,water injected into the urethral balloon＞40 ml and postop-erative constipation were independent risk factors for postoperative BNC.The predictive scoring model constructed in this study has a good discriminability and is simple and feasible,contributive to the prediction of postoperative BNC in BPH patients undergoing laparo-scopic Madigan surgery.

Objective:To investigate the treatment and prognosis of acute carotid artery occlusion during perioperative period of carotid endarterectomy (CEA).Methods:The clinical data of 112 carotid artery stenosis patients who underwent CEA from January 2017 to December 2021 in Lianyungang Hospital Affiliated to Xuzhou Medical University were retrospectively analyzed. The patients were followed up at 6 to 9 months after surgery, the clinical prognosis was evaluated by Glasgow outcome score (GOS), and the head and neck CT angiography (CTA) was performed.Results:Among the 112 patients, 5 patients underwent acute carotid artery occlusion during the perioperative period, including 1 case of intraoperative acute occlusion of internal carotid artery and 1 case of intraoperative internal carotid artery combined with external carotid artery cute occlusion, both of them were re-sutured, and multi-mode monitoring showed that each carotid artery was unobstructed; 2 cases of intraoperative external carotid artery occlusion, no re-suture was performed during the operation; 1 case of intraoperative monitoring showed no obvious abnormality, and the contralateral limb hemiplegia was observed after surgery, and the muscle strength was grade 1, the carotid color Doppler ultrasound showed the occlusion of the internal carotid artery on the operation side. The CT and CTA examination showed focal infarction and common carotid artery on the operation side, and drugs and conservative treatment were given. The follow-up result: GOS 5 scores was in 4 cases, and 4 scores in 1 case; the muscle strength of hemiplegia patient recovered to grade 4; head and neck CTA examination, except for 1 case of common arterial occlusion, the other 4 cases showed no special abnormality.Conclusions:Intraoperative acute carotid artery occlusion can be detected timely by intraoperative multi-mode hemodynamic monitoring during CEA. Vascular recanalization after acute occlusion is possible by adopting active and effective treatment methods, the occurrence of postoperative ischemic stroke can be effectively prevented and the prognosis of patients can be improved.