Objective:To investigate the predictive value of procalcitonin to platelet ratio (PPR) and C-reactive protein to albumin ratio (CAR) in severe acute pancreatitis (SAP) and the value of SAP and concomitant acute liver injury (ALI).Methods:Total of 195 patients with AP from June 2021 to December 2022 from 374 patients were screened for inclusion in the study and were divided into non-severe acute pancreatitis (NSAP) and SAP groups. The ALI group was divided into non-acute liver injury (NALI) and ALI groups according to ALI criteria, and then into hepatocellular ALI subgroup, cholangiocellular ALI subgroup and mixed ALI subgroup. Laboratory tests for procalcitonin (PCT), C-reactive protein (CRP), albumin and platelet (PLT) were completed within 48 h. Risk factors for SAP, ALI and each subgroup of ALI were analysed by binary logistic regression. Subject work characteristic (ROC) curves were plotted and the optimal thresholds for PPR and CAR were calculated. The predictive value of PPR, CAR and their combination for SAP, ALI and each type of ALI was determined.Results:The AUCs for predicting SAP by plotting ROC curves and calculating the bedside index score of acute pancreatitis severity (BISAP score), PPR, CAR, PPR combined with CAR, PPR combined with BISAP score, CAR combined with BISAP score and combined PPR, CAR and BISAP score were 0.82, 0.85, 0.79 and 0.86. The areas under the ROC curves for PPR, CAR and combined prediction of ALI were 0.81, 0.85 and 0.88, respectively; the areas under the ROC curves for PPR, CAR and combined prediction of hepatocellular ALI were 0.93, 0.77 and 0.92, respectively; and the areas under the ROC curves for PPR, CAR and combined prediction of cholangiocellular ALI were 0.76, 0.76 and 0.77, respectively. The area under the ROC curves for PPR, CAR and combined prediction of mixed ALI were 0.83, 0.76 and 0.82Conclusions:Elevated PPR and CAR are risk factors for SAP and for the development of ALI in AP. PPR has better predictive value than CAR for hepatocellular and mixed ALI, and CAR has better predictive value than PPR for cholangiocellular ALI.

Objective:To investigate the value of fibrinogen to albumin ratio (FAR), creatinine to albumin ratio (CAR) and platelet to lymphocyte ratio (PLR) in predicting the poor prognosis of hyperlipidemic acute pancreatitis (HLAP).Methods:Clinical data of HLAP patients admitted to the hospital from January 2021 to January and December 2023 were retrospectively collected. According to the prognosis, the patients were divided into two groups: good prognosis group and poor prognosis group.The independent risk factors of HLAP in different prognostic groups were obtained by multivariate Logistic regression analysis. Receiver operating characteristic (ROC) curves were plotted to evaluate the prognostic value of FAR, CAR and PLR alone and in combination.Results:A total of 118 patients with HLAP were included, including 69 patients with good prognosis and 49 patients with poor prognosis.The difference of heart rate, lymphocyte, triglyceride, albumin, creatinine, urea nitrogen, blood calcium, blood glucose, C-reactive protein, procalcitonin, fibrinogen, FAR, CAR, PLR, Bedside indicator of acute pancreatitis Severity score, Acute Physiology and Chronic Health status score, hospitalization time assessment between the two groups was statistically significant ( P<0.05). Multivariate Logistic regression analysis showed that FAR (odds ratio ( OR) = 25.949, 95% confidence interval (95% CI):3.190 ~ 211.080, P = 0.002), CAR ( OR = 1.453, 95% CI:1.095 ~ 1.928, P = 0.010) and PLR ( OR = 1.005, 95% CI: 1.001 ~ 1.009, P = 0.020) were independent risk factors for poor prognosis in HLAP patients. ROC curve analysis showed that the area under the ROC curve (AUC) of FAR, CAR and PLR to predict poor prognosis of HLAP patients were 0.823, 0.781 and 0.652, respectively.The AUC of FAR combined with CAR, FAR combined with PLR and CAR combined with PLR were 0.840, 0.845 and 0.849, respectively.The combined ability of FAR, CAR and PLR to predict poor prognosis in HLAP patients was (AUC=0.875,95% CI:0.814 ~ 0.937). When the cut-off value was 0.387, the sensitivity was 83.7%, and the specificity was 79.7%. Conclusions:The prognostic value of FAR, CAR and PLR in HLAP patients is better than that of single or pairwise combination.

Objective To investigate the current state of quality management on intravenous therapy in secondary and tertiary hospitals in China.This study aims to provide a reference for the development of relevant policies,promoting the professionalization,standardization,and homogenization of intravenous therapy.Methods By a convenience sampling method,intravenous therapy nursing managers from secondary and tertiary hospitals in 31 provinces,autonomous regions,and municipalities were selected as survey participants in November 2023.A self-designed questionnaire was used for the survey.Results A total of 2 129 questionnaires were collected,of which 1,926 were valid,resulting in a response rate of 90.47％.Among the 1926 hospitals,1 733(89.98％)had established quality evaluation standards for intravenous therapy,and 1 734(90.03％)conducted regular quality inspections for intravenous therapy or peripherally inserted central catheter(PICC)insertion and maintenance.Additionally,1 604 hospitals(83.28％)had established protocols for handling and reporting intravenous therapy or PICC-related complications,and 1 574 hospitals(81.72％)regularly collected and analyzed data related to intravenous therapy or PICC insertion and maintenance.Moreover,371 hospitals(19.26％)had implemented intravenous therapy information management systems.Regarding various types of intravenous therapy documents,the highest rate of document types was informed consent forms,with a compliance rate of over 80.00％,followed by insertion records and catheter maintenance records,respectively.The lowest rate was complication management records,with a compliance rate of less than 50.00％.For catheter maintenance protocols,the highest compliance rate was for maintenance procedures,at over 85.00％,followed by insertion procedures.Except for PICCs,the compliance rate for establishing catheter removal and complication management procedures for other types of catheters was less than 65.00％.In terms of quality management of intravenous therapy,there are significant differences between secondary and tertiary hospitals.Conclusion The quality evaluation standards for intravenous therapy are relatively comprehensive,but the informatization of intravenous therapy quality management is still underdeveloped.Furthermore,there is a need to further standardize the documentation and procedures related to intravenous therapy,and there are differences in the level of intravenous therapy management among hospitals of different levels.

Objective:To understand the real experiences of scientific research anxiety among nurses in tertiary hospitals, for references for improving the research capabilities of clinical nurses and formulating corresponding training and management strategies.Methods:From January to June 2023, this study adopted the phenomenological research method in qualitative research, and used the purposive sampling method to select 15 clinical nurses from two tertiary hospitals for semi-structured interviews. The seven-step analysis method was used to extract the theme of nurses′ experiences of scientific research anxiety.Results:A total of 337 minutes of interviews were conducted, with over 80 000 words transcribed. After analysis, four themes were formed, including the manifestations of clinical nurses′ research anxiety(imbalance between work and family life, negative emotions caused by anxiety, positive effects of moderate anxiety), individual reasons(research motivation and self doubt, challenges in time management and resource allocation), external reasons(fast iteration and updating of research methods, research pressure caused by career development, multidimensional support resources to overcome research anxiety), and adjustment strategies(nurses′ own internal drive and insensitivity, multidimensional support resources to overcome research anxiety).Conclusions:Most clinical nurses attached great importance to nursing research and were eager to receive more research support and assistance; The research anxiety of clinical nurses was influenced by multiple factors such as research motivation, time management, iterative updates of research methods, and research support systems. It was recommended that hospital managers actively support clinical nurses to participate in scientific research activities, establish a sound scientific research management system, in order to enhance nurses′ scientific research capabilities.

With continuous advancements in medical technology, the tools and techniques for intravenous therapy and infusion are also evolving and innovating. This paper summarizes and analyzes the current application status of intravenous therapy infusion tools and techniques, thus providing deep reflections and suggestions to serve as a beneficial reference and guide for the development of these tools and techniques in China.

Objective To analyze the international research results of artificial intelligence in the medical field by the double clustering method, and to explore the hot trends in the topic field. Methods The Web of Science core collection database was searched for the research literature of artificial intelligence in the field of medicine, and the high-frequency keywords were extracted by Co-Occurrence13.4 to generate the word matrix. The gCluto1.0 clustering toolkit was used for the double cluster analysis. Results A total of 7 803 articles were included, and the annual number of publications showed an overall upward trend. The United States ranked the first in the total number of publications. A total of 30 high-frequency subject words were extracted to form 6 clusters such as artificial intelligence applied to biomarker detection. The research hotspots focused on six topics: health care, disease outcome, whole-course disease monitoring, auxiliary diagnosis of cancer, model validity and differential biomarkers. Conclusion Artificial intelligence has been widely used in clinical diagnosis and treatment technology, which provides targeted support for genetic testing and public health events. However, related domestic research is still in developing stage. In the future, we need to rely on multidisciplinary and inter-institutional communication and cooperation to promote the development of intelligent medical in China, so that it truly becomes an important tool to promote the development of medical and health services.

OBJECTIVE: To investigate the clinical phenotype and genetic characteristics of a Chinese pedigree affected with Cohen syndrome. METHODS: A proband who was admitted to Zhengzhou People's Hospital on June 2, 2021 due to intellectual disability and developmental delay, in addition with her younger sister and other family members, were selected as the study subjects. Clinical data of the proband and her younger sister were collected. Genomic DNA was extracted from peripheral venous blood and chorionic villi samples. Chromosomal abnormalities were detected with chromosomal microarray analysis (CMA). Whole exome sequencing (WES) and Sanger sequencing were carried out to detect candidate variants in the proband. With RNA extracted from the peripheral blood samples, VPS13B gene transcripts and expression were analyzed by PCR and real-time quantitative PCR. Prenatal diagnosis was carried out at 12 weeks' gestation. RESULTS: The proband was a 10-year-old female with clinical manifestations including development delay, obesity, severe myopia and peculiar facial features. Her sister was 3 years old with a similar phenotype. CMA revealed no chromosomal abnormality in the proband, while WES results revealed that the proband and her sister had both harbored compound heterozygous variants of the VPS13B gene, namely c.10076_10077delCA (p.T3359fs*29) and c.6940+1G>T, which were respectively inherited from their mother and father. Based on the guidelines from the American College of Medical Genetics and Genomics (ACMG), both variants were classified as pathogenic (PVS1+PS4+PM4+PP1; PVS1+PM2_Supporting+PM3+PP1). In vivo splicing assay confirmed that the c.6940+1G>T variant has produced a frameshift transcript with skipping of exon 38. Compared with the control group, the expression of RNA in the peripheral blood of the proband's parents has decreased to 65% ~ 70% (P < 0.01), whilst that in the proband and her sister has decreased to 40% (P < 0.001). Prenatal diagnosis at 12 weeks of gestation has found that the fetus only harbored the heterozygous c.10076_ 10077delCA variant. CONCLUSION The c.10076_10077delCA (p.T3359fs*29) frameshift variant and c.6940+1G>T splicing variant probably underlay the Cohen syndrome in this pedigree. Genetic testing has facilitated the diagnosis of this disease.
Female ; Humans ; East Asian People ; Intellectual Disability/genetics* ; Mutation ; Myopia/genetics* ; Pedigree ; Vesicular Transport Proteins/genetics* ; Child, Preschool ; Child

OBJECTIVE: To investigate the predictive value of pancreatitis activity scoring system (PASS) combined with Neutrophil to lymphocyte ratio (NLR) and C-reactive protein (CRP) for infected pancreatic necrosis (IPN) in patients with severe acute pancreatitis (SAP). METHODS: Clinical data of SAP patients admitted to the First Affiliated Hospital of Zhengzhou University from January 2020 to January 2023 were retrospectively collected, including basic information, vital signs at admission, first laboratory indexes within 48 hours of admission. The PASS scores at admission and 24, 48 and 72 hours after admission were calculated. According to the diagnostic criteria of IPN, the patients were divided into the non-IPN group and the IPN group, and the independent risk factors of SAP complicating IPN were determined by using univariate analysis and multifactorial Logistic regression. The receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive value of NLR, CRP, and PASS score, alone and in combination for IPN in patients with SAP. RESULTS: A total of 149 SAP patients were enrolled, including 102 in the non-IPN group and 47 in the IPN group. The differences in PASS score at each time point, NLR, CRP, procalcitonin (PCT), blood urea nitrogen, blood chloride, and days of hospitalization between the two groups were statistically significant. Multifactorial Logistic regression analysis showed that 72 hours admission PASS score [odds ratio (OR) = 1.034, 95% confidence interval (95%CI) was 1.005-1.065, P = 0.022], NLR (OR = 1.284, 95%CI was 1.139-1.447, P = 0.000), and CRP (OR = 1.015, 95%CI was 1.006-1.023, P = 0.001) were independent risk factors for IPN in patients with SAP. ROC curve analysis showed that the area under the ROC curve (AUC) of the PASS score at 72 hours of admission, NLR, and CRP alone in predicting IPN in SAP patients were 0.828, 0.771, and 0.701, respectively. The AUC of NLR combined with CRP, PASS combined with NLR, and PASS combined with CRP were 0.818, 0.895, and 0.874, respectively. The combination of PASS score at 72 hours after admission, NLR, and CRP had a better predictive ability for IPN in patients with SAP (AUC = 0.922, 95%CI was 0.877-0.967), and the sensitivity was 72.3% when the cut-off value was 0.539. CONCLUSIONS The predictive value of the PASS score at 72 hours after admission, NLR and CRP in combination for IPN in SAP patients is better than that of the combination of each two and individual detection and has better test efficacy.
Humans ; Pancreatitis, Acute Necrotizing/diagnosis* ; C-Reactive Protein/metabolism* ; Acute Disease ; Neutrophils/metabolism* ; Retrospective Studies ; ROC Curve ; Lymphocytes ; Prognosis

Gene editing technology is a genetic operation technology that can modify the DNA sequence at the genomic level. The precision gene editing technology based on CRISPR/Cas9 system is a gene editing technology that is easy to operate and widely used. Unlike the traditional CRISPR/Cas9 system, the precision gene editing technology can perform site-directed mutation of genes without DNA template. This review summarizes the recent development of precision gene editing technology based on CRISPR/Cas9, and prospects the challenges and opportunities of this technology.
Gene Editing ; CRISPR-Cas Systems/genetics* ; Mutation ; Genome

Objective:To analyze the prognostic risk factors of patients with traumatic pancreatitis (TP) and establish an early combined prediction of multiple indicators model for TP.Methods:Patients admitted to the ICU of the First Affiliated Hospital of Zhengzhou University from June 2017 to June 2022 were collected retrospectively. Based on their prognosis, the patients were divided into two groups: the good prognosis group and the poor prognosis group. The general data such as sex, age, underlying diseases, Glasgow Coma Scale (GCS), acute physiology and chronic health evaluationⅡ (APACHEⅡ), injury severity score (ISS), bedside index for severity in acute pancreatitis (BISAP), and clinical test indices such as blood routine, blood coagulation, blood gas analysis, and liver and kidney function at admission were compared between the two groups. Univariate analysis and multivariate logistic regression analysis were used to screen the early independent predictors of poor prognosis of TP, and the prediction model of TP was established by combining all of the independent indicators. The receiver operating characteristic (ROC) curve of each independent predictor and prediction model was drawn, and the area under the curve (AUC), sensitivity, specificity, and optimal cut-off value were calculated to examine the diagnostic impact of each independent predictor and the combined prediction model.Results:There were statistically significant differences in the complication rate of mental disorders, GCS, APACHE II, combined craniocerebral injury, combined chest injury, activated partial thromboplastin time, fibrin(pro)degradation products, lactate, aspartate aminotransferase, glomerular filtration rate, amylase, lipase, NT-proBNP, myoglobin, procalcitonin, ISS, and BISAP between the good and poor prognosis groups (all P<0.05). Multivariate logistic regression analysis showed that lactate ( OR=1.636, 95% CI: 1.046-2.559), lipase ( OR=1.005, 95% CI: 1.001-1.008), and ISS ( OR=1.161, 95% CI: 1.064-1.266) were independent risk factors influencing the prognosis of patients with TP. Based on the risk factors listed above, a prediction model was created: Logit P=-9.260+0.492×lactate+0.005×lipase+0.149×ISS, and the ROC curve was plotted. The AUC curve of the prediction model was 0.96 (95% CI: 0.91-1.00). Conclusions:Lactate, lipase, and ISS are early independent risk factors associated with the prognosis of TP. Their combined multi-indicator prediction model has an excellent clinical prediction effect, which can provide a clinical reference for early prediction and treatment of TP.