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 explore the application of photoplethysmography (iPPG) for contactless vital signs monitoring in the intensive care unit (ICU).Methods:Ten tracheostomy patients in intensive care had their heart rate, oxygen saturation, and diastolic and systolic pressures monitored using iPPG technology and a 24-hour bedside monitor. The readings included periods at rest, during turning, during suctioning, and when undergoing vigorous physical therapy and occupational therapy. The monitoring lasted 3 consecutive days. The data collected by the two methods were compared to analyze the accuracy of the contactless vital signs monitoring system.Results:The oxygen saturation readings of the two systems showed no significant differences. The heart rates, diastolic pressures, and systolic pressures did, however, differ significantly.Conclusions:In the situations tested, contactless monitoring of oxygen saturation is effective, but there is still significant room for improvement in the three indicators of heart rate, systolic pressure, and diastolic pressure.

Objective:To explore the mechanism of anti anxiety (AD) effect of Shenqi Schisandra chinensis using network pharmacology and molecular docking technology.Methods:The main active ingredients of S-Q-W-W-Z (Shenqi Schisandra chinensis) were screened through the TCMSP database. The corresponding targets of the active ingredients were obtained through the TCMSP database and SymMap database. The drug active ingredient target relationship network was visualized using Cytoscape. Utilize TTD, OMIM, NCBI, Drugbank, and GeneCards databases to directly identify potential targets for anxiety. We constructed interaction diagrams of potential targets based on the String database, and used Cytoscape tool to obtain key target proteins. Gene ontology (GO) enrichment analysis and Tokyo Encyclopedia of Genomes (KEGG) signaling pathway analysis were used to identify key targets and signaling pathways for anti anxiety effects of Schisandra chinensis. AutodockTools software was used to perform molecular docking on key active ingredients and key target proteins, and their binding energies were calculated. The molecular docking results were visualized using PyMol software.Results:The 63 effective ingredients in Shen-Qi-Wu-Wei-Zi (Shenqi Schisandra chinensis) can act on anxiety disorder through 69 targets. Among them, quercetin, luteolin, and stigmasterol are the main active ingredients, and serine threonine protein kinase 1 (AKT1) protein and interleukin-6 (IL-6) protein are key target proteins. Molecular docking technology has verified the good binding ability between these key active ingredients and key target proteins. Shenqi Schisandra mainly exerted therapeutic effects on anxiety disorders by regulating Toll like receptor signaling pathways, tumor necrosis factor (TNF) signaling pathways, cancer pathways, and other pathways.Conclusions:The Shenqi Schisandra may exert anti anxiety effects by regulating related targets such as AKT1 and IL-6, regulating inflammatory reactions, cell apoptosis, and other processes.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective To explore the efficacy and safety of recombinant human anti-severe acute respiratory syn-drome coronavirus 2(anti-SARS-CoV-2)monoclonal antibody injection(F61 injection)in the treatment of patients with coronavirus disease 2019(COVID-19)combined with renal damage.Methods Patients with COVID-19 and renal damage who visited the PLA General Hospital from January to February 2023 were selected.Subjects were randomly divided into two groups.Control group was treated with conventional anti-COVID-19 therapy,while trial group was treated with conventional anti-COVID-19 therapy combined with F61 injection.A 15-day follow-up was conducted after drug administration.Clinical symptoms,laboratory tests,electrocardiogram,and chest CT of pa-tients were performed to analyze the efficacy and safety of F61 injection.Results Twelve subjects(7 in trial group and 5 in control group)were included in study.Neither group had any clinical progression or death cases.The ave-rage time for negative conversion of nucleic acid of SARS-CoV-2 in control group and trial group were 3.2 days and 1.57 days(P=0.046),respectively.The scores of COVID-19 related target symptom in the trial group on the 3rd and 5th day after medication were both lower than those of the control group(both P＜0.05).According to the clinical staging and World Health Organization 10-point graded disease progression scale,both groups of subjects improved but didn't show statistical differences(P＞0.05).For safety,trial group didn't present any infusion-re-lated adverse event.Subjects in both groups demonstrated varying degrees of elevated blood glucose,elevated urine glucose,elevated urobilinogen,positive urine casts,and cardiac arrhythmia,but the differences were not statistica-lly significant(all P＞0.05).Conclusion F61 injection has initially demonstrated safety and clinical benefit in trea-ting patients with COVID-19 combined with renal damage.As the domestically produced drug,it has good clinical accessibility and may provide more options for clinical practice.

Objective To explore the clinical significance and antimicrobial resistance of group B Streptococcus(GBS)isolated from midstream urine culture,aiming to provide a basis for the diagnosis and treatment of clinical urinary tract infection(UTI).Methods Information about GBS strains isolated from midstream urine culture of in-patients and outpatient in a hospital in Nanjing from February 2020 to December 2022 were retrieved through labora-tory information system,strains with complete data were screened out.Case data,urine routine,and antimicrobial susceptibility testing results were reviewed.Results A total of 9 081 non-repetitive bacterial strains were detected from midstream urine culture,including 425 GBS strains,accounting for 4.7％,ranking sixth.Strains with incom-plete data were excluded,a total of 365 patients were included in the study.169(46.3％)were males and 196(53.7％)were females,with an average age of(55.4±15.2)years.365 patients who were detected GBS were from 17 de-partments,with the highest proportion being department of urology(n=237,64.9％).The underlying diseases of patients mainly included hypertension(n=136),diabetes(n=95),urolithiasis(n=120)and urinary tumors(n=98).211 patients underwent urological surgery,all were treated with antimicrobial agents before surgery,and 205 patients underwent indwelling urinary catheters after surgery;9 patients were detected GBS from urine during the middle and advanced stage of pregnancy.36.4％(n=133),38.9％(n=142)and 24.7％(n=90)patients had GBS colony count ≤104 CFU/mL,104-105 CFU/mL,and ≥105 CFU/mL,respectively.Patients with symptoms of UTI accounted for 24.9％(n=91),and asymptomatic bacteriuria accounted for 75.1％(n=274).The incidence of UTI symptoms in males was lower than that in females(19.5％vs 29.6％,P＜0.05).As the GBS colony count in urine culture increased,the proportion of patients with symptoms of UTI showed an upward trend(P＜0.05).On the day of urine culture,the positive rates of urine routine white blood cells,leukocyte esterase,and nitrite were 53.2％,50.1％,and 3.8％,respectively.The positive rates of urine occult blood,leukocyte esterase,white blood cells,and urine protein in patients with symptomatic UTI were all higher than those with asymptomatic bacteriuria patients(all P＜0.05).No GBS were found to be resistant to penicillin,ampicillin,vancomycin,linezolid,and tigecycline.The resistance rate to levofloxacin and moxifloxacin was about 40％,and resistance rate to tetracycline and clindamycin was over 60％.Conclusion GBS isolated from urine is more common in non-pregnant adults,and only a small percentage have symptoms of UTI.The results of urine culture and urine routine should be comprehen-sively judged based on patient's clinical symptoms and signs.GBS in urine is susceptible to multiple antimicrobial agents,and clinical medication should be adopted rationally based on antimicrobial susceptibility testing result.

Objective:To evaluate whether additional radical surgery is necessary following non-curative endoscopic resection of early colorectal cancer.Method:Clinicopathological data in 104 patients following non-curative endoscopic resection of early colorectal coucer at the Department of General Surgery, Peking University First Hospital between Jan 2011 and Dec 2021.Results:Lymph node metastasis and/or residual cancer was found in 23 patients (22%), including 12 cases of lymph node metastasis, 7 cases of residual cancer and 4 patients with both residual cancer and lymph node metastasis. Univariate analysis indicated that vascular infiltration, positive vertical margin, and female gender were risk factors for lymph node metastasis. Risk factors for residual cancer were tumors ≥2 cm in size, negative lift sign, infiltration depth of ≥1 000 μm, and positive horizontal and vertical margins. Multivariate Logistic regression analysis revealed that vascular invasion, positive vertical margins, and being female were independent risk factors for lymph node metastasis, while positive vertical margins was independent risk factor for residual cancer. Salvage surgery lasted for a median of 184 (156-233) minutes, with an estimated blood loss of 50 (20-100) ml and an average postoperative hospital stay of 9 (8-11) days. Seven cases of Clavein-Dindo Ⅱ or higher complications were observed, including pulmonary embolism in 1 case , anastomotic leakage in one, lymphatic fistula in one, bowel obstruction in 2 cases and urinary tract infection in 2 cases.Conclusion:Salvage surgery is mandatory for early endoscopic non-curative resection of colorectal cancer.