Objective To construct a classification model for surgical patients and apply it in the allocation of nursing human resources,providing a reference for nursing human resource management.Methods A convenience sampling method was used to retrospectively select 5,431 hospitalized surgical patients admitted to 6 surgical nursing units of a tertiary general hospital in Suzhou from July to November 2022 as the subjects of this study.The nursing hours were measured,and related influencing factors were analyzed.A decision tree classification method was used to establish a classification model for surgical patients.From August to October 2022,1,527 hospitalized surgical patients admitted to 3 nursing units of the same hospital were conveniently selected.The minimum number of nurses required daily was calculated using the surgical patient classification model,actual nursing hours measurement method,nurse-to-bed ratio method,and 8-hour continuous shift scheduling method.The application effect of the surgical patient classification model in nursing human resource allocation was evaluated with the actual nursing hours measurement method as the standard.Results The surgical patient classification model includes 7 classification indicators:length of hospital stay,diagnosis-related group weight,presence or absence of secondary care orders,surgical grade,anesthesia method,age,and presence or absence of critical illness orders.Patients were divided into 14 groups,and the model explained 90.5％of the total variance in nursing workload.The minimum number of nurses required in surgical nursing units calculated based on this model was closest to the result of the actual nursing hours measurement method and was superior to the results of the nurse-to-bed ratio method and the 8-hour continuous shift scheduling method.Conclusion The surgical patient classification model can accurately reflect the nursing workload of such patients.The classification indicators are simple and easy to obtain,and can guide the allocation of human resources in surgical nursing units.

This paper reported a type 1 diabetes patient who had severe diabetic nephropathy, retinopathy, hypertension, and hypothyroidism before pregnancy. The patient's blood glucose control was poor before pregnancy, and the complications were not properly treated. This was an unintended pregnancy, with a pre-pregnancy glycated hemoglobin A1c of 7.8% and early pregnancy urine protein of 3.81-4.53 g/24 h. Considering the patient's poor blood glucose control before pregnancy and the lack of proper treatment for multiple complications including nephropathy, a multidisciplinary consultation at an external hospital recommended termination of the pregnancy. However, the patient was determined to continue the pregnancy and was referred to Peking University First Hospital. Through strict blood glucose control, monitoring and evaluation of complications, and comprehensive management, the patient's blood glucose and blood pressure were well controlled during pregnancy. Regular monitoring of urine protein, renal function, and ocular fundus was conducted. At 31 weeks and 4 days of gestation, the patient's 24-hour urine protein significantly increased. After promoting fetal lung maturity, a cesarean section was performed at 34 weeks and 1 day of gestation, resulting in a successful delivery with good maternal and neonatal outcomes. At the 42-day postpartum follow-up, the patient's blood glucose and blood pressure were stable, urine protein returned to pre-pregnancy levels, and the infant was in good general condition.

For women with type 1 diabetes mellitus (T1DM) reaching reproductive age, the disease course generally protracted, often accompanied by varying degrees of microvascular complications. Hence, the need for preconception planning and comprehensive screening and management of complications is urgent to avoid serious maternal and fetal complications. The recommended preconception glycated hemoglobin control target is currently set at<6.5%. In cases of unintended pregnancies where pre-existing microvascular complications are present, multidisciplinary standardized management during the pregnancy is essential. Although a multidisciplinary expert consensus on gestational management of T1DM has been published in China in 2020, several issues remain regarding the clinical management of T1DM in pregnancy across the nation. Strengthening nutritionally balanced management, actively and reasonably utilizing insulin therapy, and leveraging new technologies such as the internet plus artificial intelligence hold promise to achieve more optimal glucose control, reduce the incidence of maternal and fetal complications associated with T1DM, and ultimately achieve favorable outcomes for both mother and child.

Chronic disease patients often experience negative emotions such as anxiety and depression,and the accurate assessment of these emotions is crucial for developing effective care plans and interventions.Traditional assessments of negative emotions are limited by subjectivity,error and accessibility issues,making precise identification and evaluation difficult.In recent years,vision technology has demonstrated unique advantages in emotion recognition due to its accuracy,speed,consistency,objectivity nature.This paper reviews the development process of computer vision technology,the content and effects of its application in negative emotion assessment for chronic disease patients,and the current challenges,in order to provide references for the evaluation of chronic disease patients'negative emotions.

Objective:To screen and analyze the carcinogenesis-related differential expression profile of long non-coding RNAs(LncRNAs)in oral lichen planus(OLP)mucosa tissue,and preliminarily analyze their functions,to explore their possible role in the development of OLP.Methods:High-throughput sequencing technology was used to construct differential expression profile from 5 cases of erosive OLP lesions and 5 of normal oral mucosa.LncRNAs that are closely related to the carcinogenesis of OLP were ob-tained by bioinformatics analysis.Results:400 LncRNAs associated with OLP were screened,of which 250 were up-regulated and 150 were down-regulated,and 5 LncRNAs were obtained with differential expression associated with OLP carcinogenesis:LncRNA 54055,100128560,399717,378825 and 100130231.Conclusion:400 LncRNAs are differentially expressed in the mucosa of erosive OLP lesions,and 5 of them are related to the incidence and carcinogenesis tendency of OLP.

Objective:To investigate the association between dietary diversity and the risk of major adverse cardiovascular events (MACE) after percutaneous coronary intervention (PCI) in patients with coronary heart disease (CHD) .Methods:A total of 553 patients diagnosed with CHD and undergoing PCI in the Department of Cardiology at the Second Affiliated Hospital of Harbin Medical University between May and November 2023 were enrolled using a convenience sampling method. A Semi-Quantitative Food Frequency Questionnaire was used to assess patients' dietary intake after PCI, and the Dietary Diversity Score (DDS) was calculated. Patients were followed up for one year to determine the incidence of MACE.Results:History of hypertension, history of hyperlipidemia, body mass index, use of antiplatelet agents, use of diuretics, triglycerides, smoking index and DDS were identified as factors influencing the occurrence of MACE after PCI ( P<0.05) . Among these, higher dietary diversity had a protective effect against MACE. Conclusions:After PCI, patients with lower DDS experienced MACE more frequently than those with higher scores. Increased dietary diversity can effectively help prevent MACE in patients after PCI.

This paper reported a type 1 diabetes patient who had severe diabetic nephropathy, retinopathy, hypertension, and hypothyroidism before pregnancy. The patient's blood glucose control was poor before pregnancy, and the complications were not properly treated. This was an unintended pregnancy, with a pre-pregnancy glycated hemoglobin A1c of 7.8% and early pregnancy urine protein of 3.81-4.53 g/24 h. Considering the patient's poor blood glucose control before pregnancy and the lack of proper treatment for multiple complications including nephropathy, a multidisciplinary consultation at an external hospital recommended termination of the pregnancy. However, the patient was determined to continue the pregnancy and was referred to Peking University First Hospital. Through strict blood glucose control, monitoring and evaluation of complications, and comprehensive management, the patient's blood glucose and blood pressure were well controlled during pregnancy. Regular monitoring of urine protein, renal function, and ocular fundus was conducted. At 31 weeks and 4 days of gestation, the patient's 24-hour urine protein significantly increased. After promoting fetal lung maturity, a cesarean section was performed at 34 weeks and 1 day of gestation, resulting in a successful delivery with good maternal and neonatal outcomes. At the 42-day postpartum follow-up, the patient's blood glucose and blood pressure were stable, urine protein returned to pre-pregnancy levels, and the infant was in good general condition.

For women with type 1 diabetes mellitus (T1DM) reaching reproductive age, the disease course generally protracted, often accompanied by varying degrees of microvascular complications. Hence, the need for preconception planning and comprehensive screening and management of complications is urgent to avoid serious maternal and fetal complications. The recommended preconception glycated hemoglobin control target is currently set at<6.5%. In cases of unintended pregnancies where pre-existing microvascular complications are present, multidisciplinary standardized management during the pregnancy is essential. Although a multidisciplinary expert consensus on gestational management of T1DM has been published in China in 2020, several issues remain regarding the clinical management of T1DM in pregnancy across the nation. Strengthening nutritionally balanced management, actively and reasonably utilizing insulin therapy, and leveraging new technologies such as the internet plus artificial intelligence hold promise to achieve more optimal glucose control, reduce the incidence of maternal and fetal complications associated with T1DM, and ultimately achieve favorable outcomes for both mother and child.

Chronic disease patients often experience negative emotions such as anxiety and depression,and the accurate assessment of these emotions is crucial for developing effective care plans and interventions.Traditional assessments of negative emotions are limited by subjectivity,error and accessibility issues,making precise identification and evaluation difficult.In recent years,vision technology has demonstrated unique advantages in emotion recognition due to its accuracy,speed,consistency,objectivity nature.This paper reviews the development process of computer vision technology,the content and effects of its application in negative emotion assessment for chronic disease patients,and the current challenges,in order to provide references for the evaluation of chronic disease patients'negative emotions.

Objective:To screen and analyze the carcinogenesis-related differential expression profile of long non-coding RNAs(LncRNAs)in oral lichen planus(OLP)mucosa tissue,and preliminarily analyze their functions,to explore their possible role in the development of OLP.Methods:High-throughput sequencing technology was used to construct differential expression profile from 5 cases of erosive OLP lesions and 5 of normal oral mucosa.LncRNAs that are closely related to the carcinogenesis of OLP were ob-tained by bioinformatics analysis.Results:400 LncRNAs associated with OLP were screened,of which 250 were up-regulated and 150 were down-regulated,and 5 LncRNAs were obtained with differential expression associated with OLP carcinogenesis:LncRNA 54055,100128560,399717,378825 and 100130231.Conclusion:400 LncRNAs are differentially expressed in the mucosa of erosive OLP lesions,and 5 of them are related to the incidence and carcinogenesis tendency of OLP.