Pressure ulcer is a common complication of long-term bed rest in intensive care unit(ICU)patients,which can increase the risk of infection and prolong ICU hospitalization.They are an important indicator of patient safety and nursing quality in medical institutions.Early prevention of pressure ulcer is an important means of controlling their development.At present,the prevention of pressure ulcer mainly involves timed flipping and the use of pressure reducing devices.However,during the flipping process,it often requires two or more nursing staff to complete,which increases the workload and also exacerbates the occurrence of occupational lower back pain among nursing staff.In addition,existing pressure reducing devices still have certain limitations in use,and their functions are single,often requiring the combination of multiple tools to increase material and financial resources.Based on this,the research team from the department of critical care medicine of Hospital of Chengdu University of Traditional Chinese Medicine,has designed a nursing device for preventing pressure ulcer in critically ill patients,and has obtained a National Utility Model Patent of China(Patent Number:ZL 202320609787.6).It has several inflation components and connecting structures.The inflation components are equipped with a connected air inlet,a connected air outlet,and a discharge port on the side;the inflatable components are fitted together and can be detachably connected through a connecting structure.The connected air inlet of one inflatable component corresponds to the connected air outlet of adjacent inflatable components.This device is connected by multiple inflation components,which lower or raise the height of the airbag through inflation and deflation,adjust the pressure on various parts of the patient's body,and solve the problem of labor-intensive and heavy workload in nursing work;In addition,multiple inflatable components can be detachably connected to form an inflatable mattress.When in use,the number of inflatable component connections can be selected according to the specific needs of different patients or nursing areas.The device is easy to operate,flexible in combination,and suitable for timed flipping pressure reduction regulation in pressure ulcer high-risk areas under various postures.It has good clinical application value.

Objective To screen the risk factors for hypoglycemia in adult intensive care unit(ICU)patients,construct a risk prediction model,and validate its predictive effect.Methods A retrospective study was conducted on adult critically ill patients admitted to the general ICU of Hospital of Chengdu University of Traditional Chinese Medicine from December 2023 to September 2024.Patients admitted from December 2023 to June 2024 served as the modeling group,and those from July to September 2024 as the validation group.A total of 928 patients were included,with 650 in the modeling group and 278 in the validation group.After literature review and expert consultation,27 potential risk factors for hypoglycemia in ICU patients were initially screened,and data were collected including general information[gender,age,acute physiology and chronic health evaluation Ⅱ(APACHEⅡ)score,sequential organ failure assessment(SOFA)score,nutrition risk in critically ill(NUTRIC)score,mechanical ventilation status,hemodialysis status,enteral nutrition status],disease data(sepsis,liver disease history,kidney disease history,diabetes history,hypoglycemia history),blood glucose-related indicators[mean blood glucose,blood glucose coefficient of variation,insulin dosage,intravenous insulin titration use,inotropic drug use,insulin secretagogues(Sulfonylureas and Glinides),and combined use of hypoglycemic drugs(two or more)],and laboratory indicators[serum creatinine(SCr),blood urea nitrogen(BUN),serum albumin(Alb),alanine aminotransferase(ALT),aspartate aminotransferase(AST),total bilirubin(TBil),glomerular filtration rate(GFR)].The patients were divided into a hypoglycemia group and a non-hypoglycemia group based on the occurrence of hypoglycemia.Univariate analysis and binary Logistic regression analysis were used to identify influencing factors of hypoglycemia in adult ICU patients,and a nomogram prediction model was constructed.The area under the receiver operator characteristic curve(AUC)and calibration curves were employed to evaluate the discrimination and calibration of the model.Results The modeling cohort included 552 non-hypoglycemic patients and 98 hypoglycemic patients,with an ICU hypoglycemia incidence rate of 15.1％.Compared with the hypoglycemia group,the non-hypoglycemia group showed significantly lower proportions of patients with renal disease history,diabetes history,hypoglycemia history,undergoing hemodialysis,using intravenous insulin titration,and combined use of hypoglycemic drugs,as well as lower blood glucose coefficient of variation,lower APACHEⅡ scores,and significantly elevated GFR(all P<0.05).Binary Logistic regression analysis was performed using the 9 variables with statistically significant differences in univariate analysis as independent variables and hypoglycemia occurrence as the dependent variable.The results indicated that a history of diabetes,a history of hypoglycemia,APACHEⅡ score,GFR,blood glucose coefficient of variation,and combined use of hypoglycemic drugs were independent risk factors for hypoglycemia in ICU patients[odds ratios(OR)were 1.761,2.095,1.048,0.990,1.029,and 1.975,respectively,and 95％confidence intervals(95％CI)were 1.052-2.949,1.220-3.600,1.022-1.074,0.982-0.997,1.013-1.046,and 1.145-3.408,respectively.The corresponding Pvalues were 0.031,0.007,0.000,0.009,<0.001,0.014].A nomogram prediction model for hypoglycemia in ICU patients was constructed using six independent predictors selected through binary logistic regression analysis.The ROC curve AUC for the modeling group was 0.884(95％CI 0.826-0.941,P=0.250),with a maximum Youden index of 0.713,sensitivity of 92.1％,and specificity of 79.2％.The validation cohort included 38 patients with hypoglycemia and 240 patients without hypoglycemia.Compared with the hypoglycemia group,the non-hypoglycemia group showed significantly lower proportions of patients with a history of diabetes,a history of hypoglycemia,and combined use of hypoglycemic drugs,as well as lower APACHEⅡ scores and lower blood glucose coefficient of variation,with significantly increased GFR(all P<0.05).The ROC curve AUC for the validation cohort was 0.803(95％CI was 0.757-0.849,P=0.138),indicating high discriminatory ability.The predicted probability at the diagnostic cutoff point was P=0.138.The model's diagnostic threshold for predicted probability was P=0.138,while the optimal cut-off value based on the Youden index was 0.513,yielding a sensitivity of 76.5％and specificity of 74.8％,indicating predictive value for hypoglycemia in adult ICU patients.The mean absolute error(MAE)results for the modeling group and validation group were<0.05.The calibration curves of both the modeling and validation groups showed close alignment with the ideal curve,indicating excellent calibration performance of the model.Conclusion The constructed hypoglycemia risk prediction model for adult ICU patients has good predictive performance,which can quickly identify high-risk populations of hypoglycemia in ICU and provide reference for clinical preventive nursing.

Objective To screen the risk factors for hypoglycemia in adult intensive care unit(ICU)patients,construct a risk prediction model,and validate its predictive effect.Methods A retrospective study was conducted on adult critically ill patients admitted to the general ICU of Hospital of Chengdu University of Traditional Chinese Medicine from December 2023 to September 2024.Patients admitted from December 2023 to June 2024 served as the modeling group,and those from July to September 2024 as the validation group.A total of 928 patients were included,with 650 in the modeling group and 278 in the validation group.After literature review and expert consultation,27 potential risk factors for hypoglycemia in ICU patients were initially screened,and data were collected including general information[gender,age,acute physiology and chronic health evaluation Ⅱ(APACHEⅡ)score,sequential organ failure assessment(SOFA)score,nutrition risk in critically ill(NUTRIC)score,mechanical ventilation status,hemodialysis status,enteral nutrition status],disease data(sepsis,liver disease history,kidney disease history,diabetes history,hypoglycemia history),blood glucose-related indicators[mean blood glucose,blood glucose coefficient of variation,insulin dosage,intravenous insulin titration use,inotropic drug use,insulin secretagogues(Sulfonylureas and Glinides),and combined use of hypoglycemic drugs(two or more)],and laboratory indicators[serum creatinine(SCr),blood urea nitrogen(BUN),serum albumin(Alb),alanine aminotransferase(ALT),aspartate aminotransferase(AST),total bilirubin(TBil),glomerular filtration rate(GFR)].The patients were divided into a hypoglycemia group and a non-hypoglycemia group based on the occurrence of hypoglycemia.Univariate analysis and binary Logistic regression analysis were used to identify influencing factors of hypoglycemia in adult ICU patients,and a nomogram prediction model was constructed.The area under the receiver operator characteristic curve(AUC)and calibration curves were employed to evaluate the discrimination and calibration of the model.Results The modeling cohort included 552 non-hypoglycemic patients and 98 hypoglycemic patients,with an ICU hypoglycemia incidence rate of 15.1％.Compared with the hypoglycemia group,the non-hypoglycemia group showed significantly lower proportions of patients with renal disease history,diabetes history,hypoglycemia history,undergoing hemodialysis,using intravenous insulin titration,and combined use of hypoglycemic drugs,as well as lower blood glucose coefficient of variation,lower APACHEⅡ scores,and significantly elevated GFR(all P<0.05).Binary Logistic regression analysis was performed using the 9 variables with statistically significant differences in univariate analysis as independent variables and hypoglycemia occurrence as the dependent variable.The results indicated that a history of diabetes,a history of hypoglycemia,APACHEⅡ score,GFR,blood glucose coefficient of variation,and combined use of hypoglycemic drugs were independent risk factors for hypoglycemia in ICU patients[odds ratios(OR)were 1.761,2.095,1.048,0.990,1.029,and 1.975,respectively,and 95％confidence intervals(95％CI)were 1.052-2.949,1.220-3.600,1.022-1.074,0.982-0.997,1.013-1.046,and 1.145-3.408,respectively.The corresponding Pvalues were 0.031,0.007,0.000,0.009,<0.001,0.014].A nomogram prediction model for hypoglycemia in ICU patients was constructed using six independent predictors selected through binary logistic regression analysis.The ROC curve AUC for the modeling group was 0.884(95％CI 0.826-0.941,P=0.250),with a maximum Youden index of 0.713,sensitivity of 92.1％,and specificity of 79.2％.The validation cohort included 38 patients with hypoglycemia and 240 patients without hypoglycemia.Compared with the hypoglycemia group,the non-hypoglycemia group showed significantly lower proportions of patients with a history of diabetes,a history of hypoglycemia,and combined use of hypoglycemic drugs,as well as lower APACHEⅡ scores and lower blood glucose coefficient of variation,with significantly increased GFR(all P<0.05).The ROC curve AUC for the validation cohort was 0.803(95％CI was 0.757-0.849,P=0.138),indicating high discriminatory ability.The predicted probability at the diagnostic cutoff point was P=0.138.The model's diagnostic threshold for predicted probability was P=0.138,while the optimal cut-off value based on the Youden index was 0.513,yielding a sensitivity of 76.5％and specificity of 74.8％,indicating predictive value for hypoglycemia in adult ICU patients.The mean absolute error(MAE)results for the modeling group and validation group were<0.05.The calibration curves of both the modeling and validation groups showed close alignment with the ideal curve,indicating excellent calibration performance of the model.Conclusion The constructed hypoglycemia risk prediction model for adult ICU patients has good predictive performance,which can quickly identify high-risk populations of hypoglycemia in ICU and provide reference for clinical preventive nursing.

Pressure ulcer is a common complication of long-term bed rest in intensive care unit(ICU)patients,which can increase the risk of infection and prolong ICU hospitalization.They are an important indicator of patient safety and nursing quality in medical institutions.Early prevention of pressure ulcer is an important means of controlling their development.At present,the prevention of pressure ulcer mainly involves timed flipping and the use of pressure reducing devices.However,during the flipping process,it often requires two or more nursing staff to complete,which increases the workload and also exacerbates the occurrence of occupational lower back pain among nursing staff.In addition,existing pressure reducing devices still have certain limitations in use,and their functions are single,often requiring the combination of multiple tools to increase material and financial resources.Based on this,the research team from the department of critical care medicine of Hospital of Chengdu University of Traditional Chinese Medicine,has designed a nursing device for preventing pressure ulcer in critically ill patients,and has obtained a National Utility Model Patent of China(Patent Number:ZL 202320609787.6).It has several inflation components and connecting structures.The inflation components are equipped with a connected air inlet,a connected air outlet,and a discharge port on the side;the inflatable components are fitted together and can be detachably connected through a connecting structure.The connected air inlet of one inflatable component corresponds to the connected air outlet of adjacent inflatable components.This device is connected by multiple inflation components,which lower or raise the height of the airbag through inflation and deflation,adjust the pressure on various parts of the patient's body,and solve the problem of labor-intensive and heavy workload in nursing work;In addition,multiple inflatable components can be detachably connected to form an inflatable mattress.When in use,the number of inflatable component connections can be selected according to the specific needs of different patients or nursing areas.The device is easy to operate,flexible in combination,and suitable for timed flipping pressure reduction regulation in pressure ulcer high-risk areas under various postures.It has good clinical application value.

Extracorporeal membrane oxygenation(ECMO),an effective extracorporeal circulation support system,holds significant importance in the treatment of severe cardiovascular and pulmonary diseases.Effective fixation of ECMO catheters can prevent adverse events such as displacement and accidental extubation,thereby ensuring the effectiveness and continuity of ECMO treatment.At present,various tools such as transparent dressings,surgical dressings,and bandages are commonly used in clinical practice.However,there are problems such as insufficient fixation,unattractive and tidy appearance,and inconvenient replacement.There is still a lack of specific and effective dressings to fix ECMO catheters.Therefore,the medical staff from department of critical care medical of Hospital of Chengdu University of Traditional Chinese Medicine designed ECMO dressing,and obtained the National Utility Model Patent of China(patent number:ZL 202120543021.3),which includes 3 parts:upper dressing,middle dressing,and lower dressing with weak connections in sequence.The top surface of the upper dressing is the upper dressing layer,which is marked with a first scale.The middle part of the bottom surface of the upper dressing layer is fixed with a gauze layer.The top surface of the middle dressing is the middle dressing layer,and the bottom surface of the middle dressing layer is fixedly equipped with a mesh layer along the edges of the 2 length directions.There is a cutting gauze between the 2 mesh layers,and the 2 length edges of the cutting gauze are fixedly connected to the mesh layer.There is a plastic film between the cutting gauze and the middle dressing layer,and cracks are evenly spaced along the length direction of the cutting gauze.The top surface of the middle dressing layer is marked with a second scale.There is an opening at the connection between the lower dressing and the middle dressing,and the bottom surface of the lower dressing is an adhesive layer.This utility model,simple design,good fixing effect,convenient replacement,can avoid catheter slippage and displacement,reduce the occurrence of pressure-related injuries to instruments,and improve the quality of clinical work.It is worth promoting and applying in clinical practice.

The article summarized and analyzed the application status, specific application methods, shortcomings and prospects of mobile medical technology in the prevention and treatment of diabetic foot, and to provide reference for the application and future research of mobile medical technology in the prevention and treatment of diabetic foot in our country.

Objective:To explore the current status of discharge planning of ward nurses in cardiovascular department and analyzed influencing factors, and to provide reference for intervention strategies to build the discharge planning ability of the responsible nurses in cardiovascular department.Methods:This study was a cross-sectional survey. Convenience sampling method was adopted to select 267 ward nurses of cardiovascular department from 5 first-class hospitals in Dalian City from July to August 2022 as the research objects. The questionnaire survey was conducted by general data questionnaire, Job-Esteem Scale for Nurses in Hospital and Discharge Planning of Ward Nurses. Multiple linear regression analysis and Pearson correlation analysis were used for data analysis.Results:The total score of discharge planning of ward nurses in cardiovascular department was (103.86 ± 16.20) points; the total score of nurses' professional respect was (98.92 ± 13.67) points, and the total score of discharge planning of ward nurses in cardiovascular department was positively correlated with the total score of job-esteem and scores of all dimensions ( r values were 0.382-0.551, all P<0.01). Multiple linear regression analysis showed that age, professional title, certificate of cardiovascular nurses and job-esteem of nurses were influencing factors of discharge planning of ward nurses in cardiovascular department ( t values were 2.57-8.27, all P<0.05), accounting for 47.3% of the total variation. Conclusions:The discharge planning of ward nurses in cardiovascular department was above the medium level, and age, professional title, whether they were cardiovascular nurses and job-esteem were the influencing factors. From the perspective of improving nurses' job-esteem, nursing managers can focus on young nurses and nurses with low professional titles, attach importance to the training of specialized ward nurses in cardiovascular department, and take certain countermeasures to improve the discharge planning of ward nurses in cardiovascular department.

This article reviews the current research status of nutritional literacy in chronic disease patients from four aspects, including the concept and connotation of nutritional literacy, evaluation tools for nutritional literacy of chronic disease patients, influencing factors and intervention strategies, so as to provide theoretical basis for medical staff to improve the nutritional literacy of chronic disease patients and to provide reference for future research on the nutritional literacy of chronic disease patients.

This article reviews the concept, evaluation criteria, current situation, influencing factors and the impact on health of intrinsic capacity in the elderly at home and abroad, in order to provide reference for clinical medical staff to improve the elderly′s intrinsic capacity, and actively carry out targeted interventions and related research.

OBJECTIVETo explore the effect of transcutaneous electrical acupoint stimulation (TEAS) on postoperative analgesia of ureteroscopic holmium laser lithotripsy.

METHODSOne hundred and twenty adult patients, American Association of Anesthesiologists (ASA) Class Ⅰ or Ⅱ, scheduled to ureteroscopic holmium laser lithotripsy, were randomly assigned into an observation group and a control group, 60 cases in each one. The patients in the observation group were treated with TEAS for postoperative analgesia. TEAS was implemented at bilateral Shenshu (BL 23) and Yinlingquan (SP 9) at the time of back ward and postoperative 4 h, 8 h, 12 h. TEAS at 7:00, 11:00 and 15:00 at the above acupoints were used on the second and third days; while placebo (twice a day, 100 mg a time) was used. Tramadol hydrochloride tablets for postoperative analgesia were applied in the contnol group, twice a day, 100 mg a time, and electrode sheets without stimulation were put on Shenshu (BL 23) and Yinlingquan (SP 9). When analgesia was insufficient with the score of visual analogue scale (VAS)≥3, the patients were treated with tramadol tablets for remedy analgesia. The VAS score, the concentrations of serotonin (5-HT) and substance P (SP) in 3 mL venous blood at the time of back ward (T), postoperative 4 h (T), 12 h (T), 24 h (T), and 48 h (T) were detected respectively. The total amount of medication for remedy analgesia and the incidence of adverse reactions, such as nausea and vomiting within postoperative 48 h were compared between the two groups.

RESULTSThe VAS scores at T through T were lower than those at T in the two groups (all <0.05). Compared with the control group, the VAS scores at T through T in the observation group were lower (all <0.05). The total dose of remedy analgesic medicine within 48 h after operation in the observation group was lower than that in the control group (<0.05). Compared with the control group, the concentrations of 5-HT at T, T, T and SP at T through T were lower (all <0.05). The numbers of constipation, nausea and vomiting in the observation group were less than those in the control group (both <0.05).

CONCLUSIONTEAS can relieve the pain and reduce the total amount of analgesic medicine, the levels of substance causing pain and the incidence of adverse reactions after ureteroscopic holmium laser lithotripsy.