1.Latent profile analysis and influencing factors of depression in mild cognitive impairment patients
Xi ZHANG ; Chunxia WANG ; Daojun HONG ; Xiaobing LI ; Xiaojiao GONG ; Ziying ZOU
Chinese Journal of Practical Nursing 2025;41(16):1214-1221
Objective:To explore the categories and influencing factors of depression in mild cognitive impairment (MCI) patients, so as to provide a reference for formulating precise interventions for depression in MCI patients.Methods:A cross-sectional investigation was conducted. Patients with MCI admitted to the Department of Neurology, The First Affiliated Hospital of Nanchang University from December 2022 to December 2023 were selected as the investigation objects by convenience sampling method. The general data questionnaire, Hamilton Depression Rating Scale-17, Montreal Cognitive Assessment Scale and Lubben Social Network Scale-6 were used to conduct a survey. Latent profile analysis and multiple Logistic regression analysis were used to explore the categories and influencing factors of depression.Results:A total of 537 patients with MCI were included, including 335 females and 202 males, aged (65.72 ± 9.53) years old. MCI patients scored (22.67 ± 4.68) points on the Montreal Cognitive Assessment Scale, (13.27 ± 5.73) points on the Lubben Social Network Scale-6, and 9.00 (5.00, 13.00) points on the Hamilton Depression Rating Scale-17. The depression in MCI patients could be divided into three categories: low risk depression (67.8%, 364/537), low depression-sleep disorder (20.1%, 108/537), and high depression-anxiety (12.1%, 65/537). The multiple Logistic regression analysis showed that gender, education, living style, social isolation and cognitive function were the influencing factors for different categories of depression ( OR values were 0.443-2.921, all P<0.05). Conclusions:There are individual differences in depression in patients with MCI, and precise intervention should be implemented according to the characteristics of different categories of depression.
2.Whole-genome sequencing and colistin resistance of carbapenem-resistant Klebsiella pneumoniae
Wenwen CHU ; Zhou LIU ; Xin LI ; Naifang YE ; Zhen GONG ; Xiaojiao ZENG ; Qiang ZHOU
Chinese Journal of Infection Control 2025;24(1):37-44
Objective To analyze the molecular epidemiology and colistin-resistant genes of carbapenem-resistant Klebsiella pneumoniae(CRKP)by whole-genome sequencing,and to provide reference for clinical diagnosis and treatment.Methods 57 CRKP strains isolated from clinical specimens of hospitalized patients in a tertiary general first-class hospital in Anhui Province from 2021 to 2023 were collected and antimicrobial susceptibility testing was performed.Multilocus sequence typing,capsule serotype,resistance genes,and virulence genes of CRKP strains were analyzed by whole-genome sequencing technique,and single nucleotide polymorphism analysis was conducted on sequences of all strains.Colistin resistance-related genes were amplified by polymerase chain reaction(PCR).Results 57 CRKP strains exhibited resistance to 14 antimicrobial agents,with the exception of tigecycline.The se-quencing results showed that 93.0%(53/57)of CRKP carried blaKPC-2,and the ST11 type CRKP strain had the highest detection rate(51/57,89.5%).Single nucleotide polymorphism clustering analysis showed that the 57 CRKP strains were divided into 11 clone groups,of which 4 clone groups were all ST11-KL64 type CRKP.40(70.2%)CRKP strains carried multiple virulence genes.Five strains of CRKP were colistin-resistant strains,the resistance mechanism involved the insertion of ISKpn26 element at site 70 of the mgrB gene.Conclusion The CRKP strain is primarily characterized by the production of KPC-2 ST11-KL64,with disseminated transmission in intensive care unit.The insertion of ISKpn26 element leading to mgrB gene mutation is related to resistance of CRKP to colistin in this region.
3.Latent classes of behavioural and psychological symptoms in patients with Alzheimer's disease and the influencing factors
Xi ZHANG ; Chunxia WANG ; Li YU ; Ziying ZOU ; Xiaojiao GONG
Modern Clinical Nursing 2025;24(10):1-8
Objective To explore latent classes of behavioural and psychological symptoms in the patients with Alzheimer's disease(AD)and to identify the factors influencing the latent classes and provide a basis for fomulating personalized nursing measures.Methods Convenience sampling was employed to recruit 361 AD inpatients from our hospital between November 2023 and May 2024 for this cross-sectional study.A general data questionnaire,the neuropsychiatric inventory questionnaire,Monteria cognitive assessment scale,activity of daily life scale,and mini-nutritional assessment scale were used in the survey.Latent class analysis was conducted to analyse the data acquired from the survey.Univariate analysis and multiple Logistic regression analysis were used to identify the factors influencing latent classes.Results Toally 346 patients finished the study.It was found that a 72.5%of AD patients developed behavioural and psychological symptoms.The symptoms were categorised into three classes:low symptom-apathy,middle symptom-emotional disturbance and high symptom-behaviour disorder.The course of disease,cognitive function,daily living ability and nutritional status were identified as the factors that influenced the latent classes(all P<0.05).Conclusion AD patients with low cognitive function,poor daily living ability,malnutrition and a course of disease over 5 years are at high risks of behavioural and psychological symptoms which are heterogeneous.Care providers are advised to propose personalised care strategies to improve the behavioural and psychological symptoms.
4.Latent classes of behavioural and psychological symptoms in patients with Alzheimer's disease and the influencing factors
Xi ZHANG ; Chunxia WANG ; Li YU ; Ziying ZOU ; Xiaojiao GONG
Modern Clinical Nursing 2025;24(10):1-8
Objective To explore latent classes of behavioural and psychological symptoms in the patients with Alzheimer's disease(AD)and to identify the factors influencing the latent classes and provide a basis for fomulating personalized nursing measures.Methods Convenience sampling was employed to recruit 361 AD inpatients from our hospital between November 2023 and May 2024 for this cross-sectional study.A general data questionnaire,the neuropsychiatric inventory questionnaire,Monteria cognitive assessment scale,activity of daily life scale,and mini-nutritional assessment scale were used in the survey.Latent class analysis was conducted to analyse the data acquired from the survey.Univariate analysis and multiple Logistic regression analysis were used to identify the factors influencing latent classes.Results Toally 346 patients finished the study.It was found that a 72.5%of AD patients developed behavioural and psychological symptoms.The symptoms were categorised into three classes:low symptom-apathy,middle symptom-emotional disturbance and high symptom-behaviour disorder.The course of disease,cognitive function,daily living ability and nutritional status were identified as the factors that influenced the latent classes(all P<0.05).Conclusion AD patients with low cognitive function,poor daily living ability,malnutrition and a course of disease over 5 years are at high risks of behavioural and psychological symptoms which are heterogeneous.Care providers are advised to propose personalised care strategies to improve the behavioural and psychological symptoms.
5.Whole-genome sequencing and colistin resistance of carbapenem-resistant Klebsiella pneumoniae
Wenwen CHU ; Zhou LIU ; Xin LI ; Naifang YE ; Zhen GONG ; Xiaojiao ZENG ; Qiang ZHOU
Chinese Journal of Infection Control 2025;24(1):37-44
Objective To analyze the molecular epidemiology and colistin-resistant genes of carbapenem-resistant Klebsiella pneumoniae(CRKP)by whole-genome sequencing,and to provide reference for clinical diagnosis and treatment.Methods 57 CRKP strains isolated from clinical specimens of hospitalized patients in a tertiary general first-class hospital in Anhui Province from 2021 to 2023 were collected and antimicrobial susceptibility testing was performed.Multilocus sequence typing,capsule serotype,resistance genes,and virulence genes of CRKP strains were analyzed by whole-genome sequencing technique,and single nucleotide polymorphism analysis was conducted on sequences of all strains.Colistin resistance-related genes were amplified by polymerase chain reaction(PCR).Results 57 CRKP strains exhibited resistance to 14 antimicrobial agents,with the exception of tigecycline.The se-quencing results showed that 93.0%(53/57)of CRKP carried blaKPC-2,and the ST11 type CRKP strain had the highest detection rate(51/57,89.5%).Single nucleotide polymorphism clustering analysis showed that the 57 CRKP strains were divided into 11 clone groups,of which 4 clone groups were all ST11-KL64 type CRKP.40(70.2%)CRKP strains carried multiple virulence genes.Five strains of CRKP were colistin-resistant strains,the resistance mechanism involved the insertion of ISKpn26 element at site 70 of the mgrB gene.Conclusion The CRKP strain is primarily characterized by the production of KPC-2 ST11-KL64,with disseminated transmission in intensive care unit.The insertion of ISKpn26 element leading to mgrB gene mutation is related to resistance of CRKP to colistin in this region.
6.Latent profile analysis and influencing factors of depression in mild cognitive impairment patients
Xi ZHANG ; Chunxia WANG ; Daojun HONG ; Xiaobing LI ; Xiaojiao GONG ; Ziying ZOU
Chinese Journal of Practical Nursing 2025;41(16):1214-1221
Objective:To explore the categories and influencing factors of depression in mild cognitive impairment (MCI) patients, so as to provide a reference for formulating precise interventions for depression in MCI patients.Methods:A cross-sectional investigation was conducted. Patients with MCI admitted to the Department of Neurology, The First Affiliated Hospital of Nanchang University from December 2022 to December 2023 were selected as the investigation objects by convenience sampling method. The general data questionnaire, Hamilton Depression Rating Scale-17, Montreal Cognitive Assessment Scale and Lubben Social Network Scale-6 were used to conduct a survey. Latent profile analysis and multiple Logistic regression analysis were used to explore the categories and influencing factors of depression.Results:A total of 537 patients with MCI were included, including 335 females and 202 males, aged (65.72 ± 9.53) years old. MCI patients scored (22.67 ± 4.68) points on the Montreal Cognitive Assessment Scale, (13.27 ± 5.73) points on the Lubben Social Network Scale-6, and 9.00 (5.00, 13.00) points on the Hamilton Depression Rating Scale-17. The depression in MCI patients could be divided into three categories: low risk depression (67.8%, 364/537), low depression-sleep disorder (20.1%, 108/537), and high depression-anxiety (12.1%, 65/537). The multiple Logistic regression analysis showed that gender, education, living style, social isolation and cognitive function were the influencing factors for different categories of depression ( OR values were 0.443-2.921, all P<0.05). Conclusions:There are individual differences in depression in patients with MCI, and precise intervention should be implemented according to the characteristics of different categories of depression.
7.A retrospective analysis of the etiological characteristics and infection risks of patients critically ill with multidrug-resistant bacteria in rehabilitation wards
Huaping PAN ; Zhen WANG ; Xiaojiao ZHANG ; Jin GONG ; Jianfeng ZHAO ; Lizhi LIU ; Jiamei LIU ; Huiyue FENG ; Fang LV ; Hui FENG
Chinese Journal of Physical Medicine and Rehabilitation 2024;46(3):205-209
Objective:To explore the microbiological and disease distribution characteristics of multidrug-resistant bacteria in patients hospitalized in a critical care rehabilitation ward, and to analyze the risk factors leading to multidrug-resistant bacterial infections.Methods:Microbiology screening data describing 679 patients admitted to a critical care rehabilitation ward were retrospectively analyzed to divide the subjects into a multidrug-resistant group (positive for multidrug-resistant bacterial infections, n=166) and a non-multidrug-resistant group (negative for multidrug-resistant bacterial infections, n=513). The risk factors were then analyzed using logistic regression. Results:Among 369 strains of multidrug-resistant bacteria observed, 329 were gram-negative bacteria (89.2%), mainly Pseudomonas aeruginosa, Klebsiella pneumoniae and Escherichia coli. They were distributed in sputum (56.9%) and mid-epidemic urine (28.2%) specimens. Patients whose primary disease was hemorrhagic or ischemic cerebrovascular disease accounted for 40.96% and 23.49% of the multidrug-resistant bacterial infections, respectively. Logistic regression analysis showed that albumin level, dependence on mechanical ventilation, central venous cannulation, or an indwelling urinary catheter or cystostomy tube were significant independent predictors of such infections.Conclusion:The multidrug-resistant bacterial infections of patients admitted to the critically ill rehabilitation unit are mainly caused by gram-negative bacteria. Their occurrence is closely related to low albumin levels and mechanical ventilation, as well as to bearing an indwelling central venous catheter, a urinary catheter or a cystostomy catheter.

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