The biofilm is a major pathogenic factor for many types of chronic infections,and Escherichia coli bio-film plays an important role in community-acquired infection and hospital-acquired infection and is one of common causes of urinary tract infection(UTI).The quorum sensing(QS)system of E.coli biofilm can mediate intercel-lular information exchange and thus regulate the whole community to adapt to the environmental changes,and the extracellular matrix-derived complex resistance mechanisms lead to a certain degree of bacterial resistance to anti-microbial drugs and resistance to immune system,which then makes it difficult for the conventional antimicrobial drugs to effectively eradicate the biofilm-associated infections.The article focuses on the formation of E.coli bio-film,drug resistance mechanisms and treatment aspects and summarizes the progress of research on the novel substitutive therapies against the E.coli biofilms that were developed in recent years,such as phytochemicals,nanomaterials,probiotics and phage therapy,so as to provide theoretical bases for the clinical treatment and the development of novel drug therapies against the E.coli biofilm.

Objective To analyze the risk factors for moderate-to-severe coronary artery stenosis in the population of Tacheng,Xinjiang Uygur Autonomous Region,and to construct and verify a nomogram prediction model for the degree of coronary artery ste-nosis.Methods We retrospectively selected 629 patients who were hospitalized in the Cardiovascular Department of Tacheng Peo-ple's Hospital from January 2021 to June 2023.Using R language software,the sociodemographic data,disease-related data,and va-rious laboratory indicators of the 629 patients were included in the initial screening of risk factors for use in the LASSO regression analysis using a random number table method.The 629 patients were divided into a training group(n=440)and a validation group(n=189)in a 7:3 ratio.Data from the training group were used for model construction,with the degree of coronary artery stenosis as the dependent variable,and the variables selected by LASSO regression as independent variables in the logistic regression model.The validation group was used for model validation.Based on the results of the logistic regression analysis,a visual nomogram for predicting the degree of co-ronary artery stenosis was constructed using R language software.The discriminability,calibration,and clinical utility of the model were evaluated using the area under the receiver operating characteristic curve(AUC),a calibration curve,and decision curve analysis(DCA).Results Age,non-Han ethnicity,hypertension,hyperlipidemia,and a history of cerebrovascular disease were risk factors for mode-rate-to-severe coronary artery stenosis and were included in the risk prediction model.The AUC of the training group and the validation group were 0.905(95％CI:0.790-0.863)and 0.864(95％CI:0.744-0.861),respectively.The predicted values of the calibration curve were consistent with the actual values(Brier scores of the training and validation group:0.03 and 0.14,respectively).The predictive per-formance of the model was good,and the DC A results indicated that the model had net clinical benefits.Conclusion The risk prediction model for coronary artery stenosis in the population of the Tacheng area constructed in this study has good predictive performance and can provide a simple,feasible,economical,and easy-to-promote evaluation tool for medical personnel to screen patients with moderate-to-se-vere coronary artery stenosis.

The biofilm is a major pathogenic factor for many types of chronic infections,and Escherichia coli bio-film plays an important role in community-acquired infection and hospital-acquired infection and is one of common causes of urinary tract infection(UTI).The quorum sensing(QS)system of E.coli biofilm can mediate intercel-lular information exchange and thus regulate the whole community to adapt to the environmental changes,and the extracellular matrix-derived complex resistance mechanisms lead to a certain degree of bacterial resistance to anti-microbial drugs and resistance to immune system,which then makes it difficult for the conventional antimicrobial drugs to effectively eradicate the biofilm-associated infections.The article focuses on the formation of E.coli bio-film,drug resistance mechanisms and treatment aspects and summarizes the progress of research on the novel substitutive therapies against the E.coli biofilms that were developed in recent years,such as phytochemicals,nanomaterials,probiotics and phage therapy,so as to provide theoretical bases for the clinical treatment and the development of novel drug therapies against the E.coli biofilm.

Objective:To investigate the mediating effect of psychological stress between sleep disorder and fatigue in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI) .Methods:Convenience sampling was used to select 305 ACS patients with PCI from August to September 2024 in China-Japan Union Hospital of Jilin University. General Information Questionnaire, Multidimensional Fatigue Inventory-20 (MFI-20), Symptom Checklist 90 (SCL-90), and Pittsburgh Sleep Quality Index (PSQI) were used to survey the patients at discharge, and one month after discharge.Results:The MFI-20, SCL-90, and PSQI scores at discharge of 305 patients with PCI for ACS were (59.27±18.33), (141.09±49.08), and (10.72±4.95), respectively. The MFI-20, SCL-90, and PSQI scores at one month after discharge were (55.58±19.28), (134.08±44.29), and (9.17±5.20), respectively. Mediating effect analysis showed that at discharge, the direct effect of sleep disorder on fatigue was 0.403, the mediating effect was 0.216, and the total effect was 0.619, with the mediating effect accounting for 34.89% of the total effect. One month after discharge, the direct effect of sleep disorder on fatigue was 0.385, the mediating effect was 0.355, and the total effect was 0.740, with the mediating effect accounting for 47.97% of the total effect.Conclusions:Psychological stress plays a mediating role between sleep disorder and fatigue at different time points in ACS patients undergoing PCI. Clinical attention should be paid to sleep disorders and psychological stress of ACS patients undergoing PCI, so as to improve their fatigue.

Objective To analyze the risk factors for moderate-to-severe coronary artery stenosis in the population of Tacheng,Xinjiang Uygur Autonomous Region,and to construct and verify a nomogram prediction model for the degree of coronary artery ste-nosis.Methods We retrospectively selected 629 patients who were hospitalized in the Cardiovascular Department of Tacheng Peo-ple's Hospital from January 2021 to June 2023.Using R language software,the sociodemographic data,disease-related data,and va-rious laboratory indicators of the 629 patients were included in the initial screening of risk factors for use in the LASSO regression analysis using a random number table method.The 629 patients were divided into a training group(n=440)and a validation group(n=189)in a 7:3 ratio.Data from the training group were used for model construction,with the degree of coronary artery stenosis as the dependent variable,and the variables selected by LASSO regression as independent variables in the logistic regression model.The validation group was used for model validation.Based on the results of the logistic regression analysis,a visual nomogram for predicting the degree of co-ronary artery stenosis was constructed using R language software.The discriminability,calibration,and clinical utility of the model were evaluated using the area under the receiver operating characteristic curve(AUC),a calibration curve,and decision curve analysis(DCA).Results Age,non-Han ethnicity,hypertension,hyperlipidemia,and a history of cerebrovascular disease were risk factors for mode-rate-to-severe coronary artery stenosis and were included in the risk prediction model.The AUC of the training group and the validation group were 0.905(95％CI:0.790-0.863)and 0.864(95％CI:0.744-0.861),respectively.The predicted values of the calibration curve were consistent with the actual values(Brier scores of the training and validation group:0.03 and 0.14,respectively).The predictive per-formance of the model was good,and the DC A results indicated that the model had net clinical benefits.Conclusion The risk prediction model for coronary artery stenosis in the population of the Tacheng area constructed in this study has good predictive performance and can provide a simple,feasible,economical,and easy-to-promote evaluation tool for medical personnel to screen patients with moderate-to-se-vere coronary artery stenosis.

Objective:To investigate the mediating effect of psychological stress between sleep disorder and fatigue in patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI) .Methods:Convenience sampling was used to select 305 ACS patients with PCI from August to September 2024 in China-Japan Union Hospital of Jilin University. General Information Questionnaire, Multidimensional Fatigue Inventory-20 (MFI-20), Symptom Checklist 90 (SCL-90), and Pittsburgh Sleep Quality Index (PSQI) were used to survey the patients at discharge, and one month after discharge.Results:The MFI-20, SCL-90, and PSQI scores at discharge of 305 patients with PCI for ACS were (59.27±18.33), (141.09±49.08), and (10.72±4.95), respectively. The MFI-20, SCL-90, and PSQI scores at one month after discharge were (55.58±19.28), (134.08±44.29), and (9.17±5.20), respectively. Mediating effect analysis showed that at discharge, the direct effect of sleep disorder on fatigue was 0.403, the mediating effect was 0.216, and the total effect was 0.619, with the mediating effect accounting for 34.89% of the total effect. One month after discharge, the direct effect of sleep disorder on fatigue was 0.385, the mediating effect was 0.355, and the total effect was 0.740, with the mediating effect accounting for 47.97% of the total effect.Conclusions:Psychological stress plays a mediating role between sleep disorder and fatigue at different time points in ACS patients undergoing PCI. Clinical attention should be paid to sleep disorders and psychological stress of ACS patients undergoing PCI, so as to improve their fatigue.

Objective To investigate the impact of neutrophil percentage-to-albumin ratio(NPAR)on coronary lesion severity and short-term major adverse cardiovascular events(MACE)in patients with acute coronary syndrome(ACS).Methods The study included 345 newly diagnosed patients with ACS at the Second Hospital Affiliated to Shenyang Medical College from January 2020 to December 2023.NPAR was calculated,and the patients were divided into low,medium,and high NPAR groups using a tertile classification.Clinical data,including the coronary lesion Gensini score(GS),as well as the incidence of MACE during follow-up at various time points within one year,were compared among the three groups.Results The CS was significantly higher in the high NPAR group than in the low and medium groups.Spearman's analysis showed the strongest correlation between NPAR and GS(r=0.427,P＜0.001).Multiple linear regression analysis indicated that NPAR,body mass index,white blood cell count,and age were independent risk factors for increased GS.NPAR greater than 2.013 indicates a good predictive value for the incidence of MACE within 30 days,with the receiver operating cha-racteristic and area under the curve of 0.811.Conclusion The severity of coronary lesions in patients with ACS is positively correlated with NPAR,and a high NPAR can effectively predict the risk of MACE within 30 days.

Objective To identify the sequence variation of human leukocyte antigen(HLA)novel allele A11:193 and to simulate the three-dimensional structure of the protein molecule.Methods A sample with abnormal allele results was found by PCR-SBT sequencing and identified by single allele specific sequencing.The 3D structure of the encoded protein was analyzed by Swiss-Model.Results Compared with HLA-A*11:01:01,which has the highest homology,exon 4 nt 662 of this sample has a base substitution of A→G,and its corresponding codon 197 is changed from CAT to CGT,which is changed from histidine(His)to arginine(Arg).Conclusion A new allele of HLA-A was confirmed.The allele sequence was named HLA-A11:193 by the WHO HLA Factor Nomenclature Committee and the three-dimensional structure of the protein molecule encoded by HLA-A11:193 was simulated.There was no significant difference in the three-dimensional structure of the encoded protein between it and HLA-A*11:01:01.

Objective To investigate the impact of neutrophil percentage-to-albumin ratio(NPAR)on coronary lesion severity and short-term major adverse cardiovascular events(MACE)in patients with acute coronary syndrome(ACS).Methods The study included 345 newly diagnosed patients with ACS at the Second Hospital Affiliated to Shenyang Medical College from January 2020 to December 2023.NPAR was calculated,and the patients were divided into low,medium,and high NPAR groups using a tertile classification.Clinical data,including the coronary lesion Gensini score(GS),as well as the incidence of MACE during follow-up at various time points within one year,were compared among the three groups.Results The CS was significantly higher in the high NPAR group than in the low and medium groups.Spearman's analysis showed the strongest correlation between NPAR and GS(r=0.427,P＜0.001).Multiple linear regression analysis indicated that NPAR,body mass index,white blood cell count,and age were independent risk factors for increased GS.NPAR greater than 2.013 indicates a good predictive value for the incidence of MACE within 30 days,with the receiver operating cha-racteristic and area under the curve of 0.811.Conclusion The severity of coronary lesions in patients with ACS is positively correlated with NPAR,and a high NPAR can effectively predict the risk of MACE within 30 days.

Objective:To explore the fatigue status and its influencing factors in acute coronary syndrome (ACS) patients after percutaneous coronary intervention (PCI) .Methods:This study is a cross-sectional study. A convenient sampling method was used to select 98 ACS patients who underwent PCI in the Department of Cardiology at China-Japan Union Hospital of Jilin University in February 2024. A general data questionnaire and the Multidimensional Fatigue Inventory-20 (MFI-20) were used to investigate the patients.Results:The total score of MFI-20 for the 98 ACS patients post-PCI was (57.38±15.14). Multiple linear regression analysis showed that hypertension was influencing factor of fatigue in ACS patients after PCI ( P<0.05) . Conclusions:The fatigue level of ACS patients after PCI is at a moderate level. The degree of fatigue is influenced by hypertension. Clinical targeted nursing measures should be implemented to alleviate the fatigue of the patients.