Objective:To evaluate the relationship between the severity of preoperative brain injury and postoperative delirium (POD) in elderly patients using latent class analysis based on markers of brain injury.Methods:One hundred and thirty-one American Society of Anesthesiologists Physical Status classification Ⅰ-Ⅲ patients, aged 65-84 yr, with a body mass index of 18-28 kg/m 2, scheduled for elective unilateral total hip arthroplasty in our hospital, were selected. Cognitive function was assessed using the Mini-Mental State Examination before surgery. Arterial blood samples were collected before anesthesia to measure the plasma concentrations of brain-derived neurotrophic factor, inducible nitric oxide synthase, prostaglandin E2, central nervous system-specific protein (S100β), glial fibrillary acidic protein, neurofilament light chain, matrix metalloproteinase-9, fibroblast growth factor 23, complement 3, complement 3a, complement 5a and irisin using enzyme-linked immunosorbent assay. POD was evaluated using the Confusion Assessment Method within 3 days after operation, and the patients were divided into POD group and non-POD group. The patients were divided into different injury severity subtypes based on the levels of brain injury markers using latent class analysis, and logistic multivariate regression was used to analyze the independent risk factors for POD. Results:Compared with non-POD group, the concentrations of neurofilament light chain, glial fibrillary acidic protein, S100β and prostaglandin E2 were significantly different in POD group ( P<0.05). Using these four brain injury markers for latent class analysis, patients were divided into a high severity of brain injury group (91.51%) and a low severity of brain injury group (8.49%). The results of logistic multivariate regression analysis showed that subtypes of brain injury ( OR=8.31, 95% confidence interval [ CI] 1.77-38.90, P=0.007), age ( OR=1.14, 95% CI 1.03-1.24, P=0.007), and plasma irisin concentrations ( OR=0.99, 95% CI 0.98-0.99, P=0.027) were independent risk factors for POD. Conclusions:Higher severity of preoperative brain injury is an independent risk factor for POD in elderly patients.

Machine learning(ML)technology has been gradually applied in clinical anesthesia,and the application and research in the perioperative period are increasing.ML can warn occurrence of high-risk events,assist the diagnosis of difficult airway and ultrasound imaging in the perioperative period.Intrao-peratively,ML can predict hypotension,hypoxemia,cardiac arrest,and depth of anesthesia to help achieve precise and safe control of anesthesia.Postoperatively,ML can predict anesthesia-related adverse outcomes.This article summarizes the ML models commonly used in the field of anesthesiology,and reviews the rele-vant studies of ML application in all stages of the perioperative period.The application of ML can improve the perioperative anesthesia management,help to warn the occurrence of high-risk events and reduce anes-thesia-related risks.

Objective To investigate the correlation between oral frailty and POD in elderly patients undergoing non-cardiac surgery.Methods A total of 268 elderly patients,115 males and 153 fe-males,aged ≥ 65 years,BMI 14-36 kg/m2,ASA physical status Ⅱ or Ⅲ,undergoing elective non-cardiac surgery from February 2023 to July 2023 were selected.The oral frailty index-8(OFI-8)was used to measure the oral frailty status of patients one day before surgery.The 3-minute delirium diagnostic scale(3D-CAM)was used to evaluate the occurrence of POD 1,2,3 days after surgery.The patients were divid-ed into delirium group(POD group)and non-delirium group(non-POD group)according to whether POD occurred 3 days after surgery.Multivariate logistic regression model was used to analyze the relationship be-tween oral frailty and POD.Results POD occurred in 61 patients(22.7％).Multivariate logistic regression analysis showed that postoperative use of analgesic pump(OR=2.298,95％CI 1.034-5.108,P=0.041)and oral frailty(OR=2.295,95％CI 1.193-4.415,P=0.012)are significantly correla-ted with the occurrence of POD,after adjusting for age,ASA physical status,hemoglobin,anesthesia time and infusion volume.Conclusion The incidence of postoperative POD in elderly patients with preoperative oral weakness is significantly increased undergoing non-cardiac surgery,and preoperative oral weakness is correlated with the occurrence of POD.

The intensifying aging of the population has led to a growing severity of multimorbidity,significantly impacting patients'quality of life.Current anesthetic management approaches primarily target individual diseases,which struggle to effectively address the complexity of multimorbidity.This article re-views the concept and research status of multimorbidity,analyzes the interconnections among aging,multi-morbidity,and frailty,and discusses the influence of multimorbidity on perioperative risks.For patients with multimorbidity,the article proposes perioperative management strategies encompassing preoperative assess-ment,multidisciplinary collaboration,personalized anesthesia plans,intraoperative monitoring,and postop-erative care.Furthermore,the article underscores the shift from single-disease assessments to comprehensive multimorbidity assessment frameworks,and explores novel management models utilizing big data and artificial intelligence to enhance surgical safety and improve patient prognosis.

The"common medicines for various diseases"in the preface of Collective Commentaries on the Classic of Materia Medica has been highly praised by medical practitioners for its unique"disease-medicine"outline and clinical practicality,and has continued to be included and developed in later works on materia medica and prescriptions,laying the foundation for the research and develop-ment of"specialized prescriptions for specialized diseases"and"specialized medicines for specialized diseases".Tao Hongjing used"the root of major diseases"in Shen Nong's Classic of the Materia Medica as the basic framework,referred to the prescriptions and med-icines in Treatise on Cold Damage and Miscellaneous Diseases,and expanded his own and other medical experience to create the"com-mon medicines for various diseases"system,relating and summarizing the representative diseases and main therapeutic effects of medi-cines,and creating a"disease-medicine"outline system.The construction of the"common medicines for various diseases"system has opened up the precedent of"specialized prescriptions for specialized diseases"and"specialized medicines for specialized diseases",providing new prescription ideas for clinical differentiation and treatment.

Objective:To explore the application value of intelligent assembly line in emergency examination.Methods:A retrospective study was carried out by collecting the data from emergency examination in Tongji Hospital affiliated to Tongji University from June 24 to 28, 2019, to July 24 to 28, 2023.The changes of sample size before and after intelligent pipeline application (with pneumatic transmission device), and the median and 90th percentile( P90) of pre-test turnaround time (TAT) were compared to collect and analyze the quality control related data of the same batch of quality control products before and after using intelligent assembly line automatic quality control; The median TAT and the 90th percentile in the laboratory were analyzed and compared before and after the application of the intelligent pipeline automatic audit rules Statistical enabling of intelligent pipeline-based real-time quality control (PBRTQC) function for patient samples and quality control-based indoor quality control mode for out-of-control detection efficacy. The normal distribution data were analyzed by two independent samples t-test, and the skew distribution data were analyzed by Mann-whitney U test. Results:After the operation of the intelligent assembly line pneumatic transmission device, TAT decreased from 27.1(18.0, 47.7) min to 24.3(15.2, 34.9) min, with a significant difference ( Z=-9.173, P<0.001); There was no significant difference in the indoor quality control results of potassium (K), sodium (NA), Alanine transaminase (Alt), glucose (Glu), total protein (TP) and UREA before and after the implementation of automatic quality control (P>0.05), the consumption of dry biochemical quality control products was reduced from 750 μl/time to 600 μl/time, and the use amount was reduced by 20%. The operation time of quality control was reduced from 30 min/time to 20 min/time, the time was saved by 33.3%, the number of quality control personnel and the walking distance of personnel were significantly reduced, and the detection rate of out-of-control was increased from 0.82% to 0.98% after the development of PBRTQC function. After using the intelligent pipeline automatic audit system, the TAT in the laboratory decreased from 37.1(21.3, 49.2) min to 34.4(16.5, 46.3) min before using the automatic audit function, with significant difference ( Z=-10.062, P<0.001); The median TOTAT and TAT decreased from 56.7.45.8, 102.5) min, 37.4(21.5, 49.6) min to 53.3(42.1, 98.3) min, 33.2.16.4, 47.9) min respectively, and the difference was significant ( Z=-7.176 and -8.245, P<0.001); The P90 of ToTAT and TAT decreased by 18.1% and 17.0%, respectively, and the percentage of sample timeout decreased by 65.5% and 92.1%, while the rate of timely notification of critical values increased from 82.5% to 99.3%. Conclusion:The application of an intelligent emergency pipeline can significantly shorten the test sample turnaround time, and effectively improve the quality and efficiency of emergency testing.

BACKGROUND: Hair follicles are easily accessible and contain stem cells with different developmental origins, including mesenchymal stem cells (MSCs), that consequently reveal the potential of human hair follicle (hHF)-derived MSCs in repair and regeneration. However, the role of hHF-MSCs in Achilles tendinopathy (AT) remains unclear. The present study investigated the effects of hHF-MSCs on Achilles tendon repair in rabbits. METHODS: First, we extracted and characterized hHF-MSCs. Then, a rabbit tendinopathy model was constructed to analyze the ability of hHF-MSCs to promote repair in vivo . Anatomical observation and pathological and biomechanical analyses were performed to determine the effect of hHF-MSCs on AT, and quantitative real-time polymerase chain reaction, enzyme-linked immunosorbent assay, and immunohistochemical staining were performed to explore the molecular mechanisms through which hHF-MSCs affects AT. Furthermore, statistical analyses were performed using independent sample t test, one-way analysis of variance (ANOVA), and one-way repeated measures multivariate ANOVA as appropriate. RESULTS: Flow cytometry, a trilineage-induced differentiation test, confirmed that hHF-derived stem cells were derived from MSCs. The effect of hHF-MSCs on AT revealed that the Achilles tendon was anatomically healthy, as well as the maximum load carried by the Achilles tendon and hydroxyproline proteomic levels were increased. Moreover, collagen I and III were upregulated in rabbit AT treated with hHF-MSCs (compared with AT group; P  < 0.05). Analysis of the molecular mechanisms revealed that hHF-MSCs promoted collagen fiber regeneration, possibly through Tenascin-C (TNC) upregulation and matrix metalloproteinase (MMP)-9 downregulation. CONCLUSIONS hHF-MSCs can be a treatment modality to promote AT repair in rabbits by upregulating collagen I and III. Further analysis revealed that treatment of AT using hHF-MSCs promoted the regeneration of collagen fiber, possibly because of upregulation of TNC and downregulation of MMP-9, thus suggesting that hHF-MSCs are more promising for AT.
Animals ; Humans ; Rabbits ; Hair Follicle ; Achilles Tendon/pathology* ; Tendinopathy/pathology* ; Proteomics ; Collagen Type I ; Mesenchymal Stem Cells

Objective:To study the distribution and antibiotics resistance of the main pathogens of neonatal purulent meningitis in different regions of China.Methods:A retrospective descriptive clinical epidemiological study was conducted in children with neonatal purulent meningitis which admitted to 18 tertiary hospitals in different regions of China between January 2015 to December 2019. The test results of blood and cerebrospinal fluid, and drug sensitivity test results of the main pathogens were collected. The distributions of pathogenic bacteria in children with neonatal purulent meningitis in preterm and term infants, early and late onset infants, in Zhejiang Province and other regions outside Zhejiang Province, and in Wenzhou region and other regions of Zhejiang Province were analyzed. The chi-square test was used for statistical analysis.Results:A total of 210 neonatal purulent meningitis cases were collected. The common pathogens were Escherichia coli ( E. coli)(41.4%(87/210)) and Streptococcus agalactiae ( S. agalactiae)(27.1%(57/210)). The proportion of Gram-negative bacteria in preterm infants (77.6%(45/58)) with neonatal purulent meningitis was higher than that in term infants (47.4%(72/152)), and the difference was statistically significant ( χ2=15.54, P=0.001). There were no significant differences in the constituent ratios of E. coli (36.5%(31/85) vs 44.8%(56/125)) and S. agalactiae (24.7%(21/85) vs 28.8%(36/125)) between early onset and late onset cases (both P>0.05). The most common pathogen was E. coli in different regions, with 46.7%(64/137) in Zhejiang Province and 31.5%(23/73) in other regions outside Zhejiang Province. In Zhejiang Province, S. agalactiae was detected in 49 out of 137 cases (35.8%), which was significantly higher than other regions outside Zhejiang Province (11.0%(8/73)). The proportions of Klebsiella pneumoniae, and coagulase-negative Staphylococcus in other regions outside Zhejiang Province (17.8%(13/73) and 16.4%(12/73)) were both higher than those in Zhejiang Province (2.9%(4/137) and 5.1%(7/137)). The differences were all statistically significant ( χ2=14.82, 12.26 and 7.43, respectively, all P<0.05). The proportion of Gram-positive bacteria in Wenzhou City (60.8%(31/51)) was higher than that in other regions in Zhejiang Province (38.4%(33/86)), and the difference was statistically significant ( χ2=6.46, P=0.011). E. coli was sensitive to meropenem (0/45), and 74.4%(32/43) of them were resistant to ampicillin. E. coli had different degrees of resistance to other common cephalosporins, among which, cefotaxime had the highest resistance rate of 41.8%(23/55), followed by ceftriaxone (32.4%(23/71)). S. agalactiae was sensitive to penicillin, vancomycin and linezolid. Conclusions:The composition ratios of pathogenic bacteria of neonatal purulent meningitis are different in different regions of China. The most common pathogen is E. coli, which is sensitive to meropenem, while it has different degrees of resistance to other common cephalosporins, especially to cefotaxime.

Objective:To investigate clinical features of congenital triangular alopecia.Methods:Clinical data were collected from 10 children with congenital triangular alopecia, who were diagnosed and treated in Xiamen Children′s Hospital from August 2020 to June 2021, and their clinical and dermoscopic features were analyzed.Results:All the 10 patients were males, aged from 2 months to 6 years and 4 months. Hair loss occurred at birth or within 1 month after birth in 6 children, and occurred between the age of 4 months and 6 years in 4. The alopecic area was located in the left frontotemporal region in 5 patients, in the right frontotemporal region in 3, and in the vertex region in 2. In all the patients, thin vellus hair could be seen in the alopecic areas, and the hair pull test was negative, while in 1 patient showed some normal terminal hair scattered in the alopecic area. Dermoscopy showed a lot of vellus hair surrounded by normal terminal hair in the alopecic area with a clear boundary, and no yellow or black dots, or 'exclamation mark’ hair was observed. Seven patients had visited department of dermatology due to hair loss, of whom 5 were diagnosed with alopecia areata, and 2 with sebaceous nevus.Conclusions:Congenital triangular alopecia is common in children, and mostly occurs in the left frontotemporal region. It is characterized by the replacement of normal terminal hair by thin vellus hair in the alopecic area. Dermoscopy is helpful in its diagnosis and differential diagnosis.

Objective:To investigate the predictive value of serum C-type lectin-like receptor 2 (CLEC-2) combined with insulin resistance in the outcome of patients with acute ischemic stroke (AIS) after intravenous thrombolysis.Methods:Patients with AIS received alteplase intravenous thrombolytic therapy in the Department of Neurology, the Second Affiliated Hospital of Nantong University from October 2019 to March 2021 were enrolled retrospectively. According to the modified Rankin Scale score at 90 d after onset, they were divided into good outcome group (0-2) and poor outcome group (>2). Homeostasis model assessment of insulin resistance (HOMA-IR) was used to evaluate insulin resistance. Person correlation analysis was used to determine the correlation between CLEC-2 and HOMA-IR. Multivariate logistic regression analysis was used to determine the correlation between serum CELC-2, HOMA-IR and the outcome after intravenous thrombolysis. Receiver operating characteristic (ROC) curve was used to determine the predictive value of serum CLEC-2 combined with HOMA-IR for poor outcome after intravenous thrombolysis. Results:A total of 100 patients were enrolled (56 males, 56.0%; aged 70.6±10.86 years, range 49-83 years). The baseline National Institutes of Health Stroke Scale (NIHSS) score was 10.00±6.36. Senenty-four patients (74.0%) had a good outcome and 26 (26.0%) had a poor outcome. Person correlation analysis showed that there was a significant positive correlation between serum CLEC-2 and HOMA-IR ( r=0.523; P<0.001). Multivariate logistic regression analysis showed that after adjusting for confounding factors (C-reactive protein, baseline NIHSS score, onset-to-needle time), the highest quartile of serum CLEC-2 (compared with the lowest quartile: odds ratio [ OR] 4.836, 95% confidence interval [ CI] 1.105-21.169; P=0.036) and the highest quartile of HOMA-IR (compared with the quartile 1-3: OR 15, 95% CI 2.647-30.722; P=0.002) were the independent risk factors for the poor outcome in patients with AIS after intravenous thrombolysis. ROC curve analysis showed that the area under the curve for serum CLEC-2 combined with HOMA-IR to predict poor outcome was 0.785 (95% CI 0.688-0.883; P<0.001), the optimal cut-off value was 0.72, and the sensitivity and specificity were 76.0% and 95.0%, respectively. Conclusion:CLEC-2 combined with insulin resistance has a certain predictive value for the poor outcome of patients with AIS after intravenous thrombolysis.