OBJECTIVE: To design a portable respiratory device for transporting premature infants and explore its application effect in the in-hospital transportation of extremely premature infants in primary hospitals. METHODS: A prospective randomized controlled trial was conducted. The extremely premature infants born and transferred to neonatal intensive care unit (NICU) with oxygen therapy support from May to October in 2023 were selected and randomly divided into control group and observation group. The infants in the control group received respiratory support and in-hospital transportation using a traditional T-combination resuscitator connected to pure oxygen, and those in the observation group used a portable premature infant transport respiratory device designed and manufactured by medical staff to provide respiratory support and implement in-hospital transportation. The respiratory device for transporting premature infants is made of 304 stainless steel material, mainly consisting of a T-combination resuscitator, an air oxygen mixer, an air tank, a pure oxygen cylinder, a pressure reducing valve, a telescopic rod, a tray, a hook, a bottom plate, and four moving wheels, which can achieve precise control of the fraction of inspired oxygen (FiO₂) during transportation. The achievement rate of first-time target pulse oxygen saturation (SpO₂, achieving a target SpO₂ of 0.90-0.95 was considered as meeting the standard) and arterial partial pressure of oxygen (PaO₂) after being transferred to the NICU, as well as the manpower expenditure and time required for transportation of pediatric patients between the two groups were observed. RESULTS: A total of 73 extremely premature infants were enrolled, including 38 in the control group and 35 in the observation group. There was no significant difference in the gender, gestational age at birth, birth weight, mode of delivery, Apgar score at 1 minute and 5 minutes after birth, and oxygen therapy during the transportation between the two groups. The achievement rate of first-time target SpO₂ after NICU in the observation group was significantly higher than that in the control group [94.29% (33/35) vs. 26.32% (10/38), P < 0.05], the PaO₂ control range was better [mmHg (1 mmHg = 0.133 kPa): 85.50±6.36 vs. 103.00±2.83, P < 0.05], manpower expenditure and time required for transportation were significantly reduced [manpower expenditure (number): 2.14±0.35 vs. 3.17±0.34, time required for transportation (minutes): 10.42±0.76 vs. 15.54±0.34, both P < 0.05]. CONCLUSIONS The portable respiratory device for transporting premature infants is used for respiratory support during the transportation of extremely premature infants in primary hospitals. It can improve the achievement rate of target SpO₂, control PaO₂ within the target range, and avoid hypoxia or hyperoxia during transportation. The breathing apparatus is compact, easy to carry, can save labor resources and time during transport, is cost-effective, and is suitable for widespread application in primary hospitals.
Humans ; Infant, Newborn ; Transportation of Patients ; Prospective Studies ; Equipment Design ; Infant, Extremely Premature ; Intensive Care Units, Neonatal ; Infant, Premature

OBJECTIVE: To explore the clinical features and management of a child with Chitayat syndrome. METHODS: A child presented at the Fengqing People's Hospital on August 8 2019 was selected as the study subject. Clinical data of the child were retrospectively analyzed. Peripheral blood samples were collected from the child and his father and sister. Whole-exome sequencing (WES) was carried out. Candidate variant was verified by Sanger sequencing. Genome Browser, AlphaFold, and PolyPhen-2 were employed for protein structure simulation and amino acid sequence conservation analysis. Pathogenicity of the variant was rated based on guidelines from the American College of Medical Genetics and Genomics (ACMG). Literature was retrieved from databases including CNKI, Wanfang, and PubMed using the keyword "Chitayat syndrome". The clinical characteristics and prognosis of patients with Chitayat syndrome were reviewed and analyzed. This study was approved by the Ethics Committee the Seventh Affiliated Hospital of Sun Yat-sen University (Ethics No.: KY-2024-086-01). RESULTS: The child was born at full term and had special facial features, skeletal abnormalities, recurrent respiratory tract infections and global developmental delay. WES and Sanger sequencing revealed that he has harbored a heterozygous c.266A>G p.(Tyr89Cys) variant of the ERF gene. Protein structure modeling suggested that the mutant protein has increased spatial distance between the side chain group and DNA, which may reduce its binding affinity to DNA. Amino acid sequence analysis indicated that the p.Tyr89 residue is highly conserved across multiple species. The variant was therefore classified as pathogenic (PM1+PM2_Supporting+PM6+PS1+PP3). The patient was diagnosed with "Chitayat syndrome". Nutritional support and rehabilitation training were recommended, though the child had died of severe pneumonia at 13 months old. Literature retrieval has collected 7 relevant articles, which involved 14 cases of Chitayat syndrome confirmed by genetic testing. Together with our case, all patients had facial dysmorphisms and skeletal deformities. Fourteen patients (93.3%) had respiratory distress. Seven of them (46.7%) had recurrent respiratory infections and 7 (46.7%) were confirmed with respiratory tract malacia. Eight (53.3%) patients had neuropsychological retardation, while 8 (53.3%) had growth delay. The main interventions for Chitayat syndrome include respiratory and nutritional support, and rehabilitation training for developmental delays. CONCLUSION Chitayat syndrome is rarely seen and its clinical manifestations may vary. Airway management and early intervention of developmental delay are important for improving the prognosis.
Humans ; Male ; Exome Sequencing ; Female ; Mutation ; Child, Preschool ; Infant ; Developmental Disabilities/genetics*

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.

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.

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.

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