Rosacea is a chronic recurrent inflammatory skin disease, and correct assessment of clinical symptoms and severity may facilitate treatment options. This review summarizes a range of subjective, semi-subjective and objective methods currently used in the assessment of rosacea severity, in order to provide useful tools for clinical assessment of rosacea severity and give guidance on treatment modification according to the therapeutic effect.

Objective To analyzes the current status and hot spots of nursing of adverse drug reactions in chemotherapy for cancer patients,and provides reference for future research.Methods Literature related to the nursing of chemotherapy adverse drug reactions in cancer patients from 2018 to 2022 was retrieved from CNKI,Wanfang and VIP databases,and statistical analysis was conducted using bibliometrics.CiteSpace information visualization software was used to describe and analyze high-frequency keywords and to describe their graphs.Results A total of 1112 literatures were included,distributed in 256 domestic journals,and 537 literatures were co-authored,with a co-authored rate of 48.29％.Gastrointestinal reaction,cancer-induced fatigue,traditional Chinese medicine nursing,evidence-based nursing,negative emotion are the hot issues in this field.Conclusion The future nursing intervention for adverse reactions of cancer patients should adopt evidence-based nursing method to develop intervention programs.The research in this field has the problems of small sample size and single institution.It is suggested that the cooperation between authors and institutions should be strengthened in the future research,so as to build a closer cooperation network and a stable cooperation group.To construct nursing intervention plan and effect evaluation criteria suitable for nursing of adverse reactions of chemotherapy drugs in cancer patients.To ensure the safety of the intervention process,we should actively carry out multidisciplinary collaboration.

Objective To analyze three-dimensional(3D)radiographic characterizations of bone island(BI)in jaw using cone-beam computed tomography(CBCT).Methods CBCT data from four thousand patients were selected,reconstructed and analyzed using NNT 10.0 software.The sagittal,coronal and axial planes were used to analyze the 3D radiographic characteristics of BIs,including the localization,shape,density,boundary,the relationship between BIs and tooth and bone cortex,diameter and anatomical structures and complications involved.Their relationship with gender were analyzed.Results A total of 803 people had BIs,with the prevalence rate of 20.08%,including 338 males with 389 BIs and 465 females with 526 BIs.Both males and females had a dominant BI,and the ratio between male and female was 1∶1.38,but the difference was not statistically significant(P＞0.05).The BIs of both male and female mostly occurred in the mandibular premolars and molars area,and appeared irregular in shape,dense and contact with lingual bone cortex.Mostly BIs were apical type and with unclear boundary.The mean maximum diameter of mesial/distal direction was greater than buccal/lingual direction(P＜0.05).The most commonly involved anatomy structure was the inferior alveolar neural canal,cortical infil-tration and mental foramen.Conclusion There are no significant differences between males and females in the three-dimensional image characteristics of BIs in Chinese populations.CBCT can accurately and comprehensively analyze the 3D radiographic characteris-tics of BI and its relationship with the surrounding teeth and bone.

Objective To observe the clinical effect of the preventive device for foot stress injury in bedridden patients with stroke.Methods A total of 166 patients with stroke who were hospitalized in the department of intensive care unit(ICU)of Hangzhou First People's Hospital from March 2021 to March 2022 were selected as the study subjects.The experimental design of the quantitative study was adopted,and the patients were divided into the control group(ICU 4th floor patients)and the observation group(ICU 5th floor patients)according to the different ward of ICU,with 83 cases in each group.Nurses were also grouped according to this method(41 in observation group,43 in control group).Both groups received conventional treatment and nursing care to prevent pressure injury.The control group was depressurized by sponge ring or existing pillow,and the foot sagging was prevented by T-shoe lined towel.The observation group used the self-designed and developed foot pressure injury prevention device for bedridden patients.The incidence of foot stress injury and foot drop,as well as the satisfaction of patients with using the preventive device for foot stress and the satisfaction of nurses with operating the preventive device for foot stress were observed.Results The incidence of foot pressure injury and foot drop in the observation group was significantly lower than that in the control group[incidence of foot pressure injury:3.61%(3/83)vs.8.43%(7/83),the incidence of foot drop:9.64%(8/83)vs.16.87%(14/83),both P<0.05].The satisfaction of patients in the observation group was significantly higher than that in the control group[91.6%(76/83)vs.79.5%(66/83),P<0.05],and nurse satisfaction in the observation group was higher than that in the control group[95.1%(39/41)vs.86.0%(37/43)],but there was no significant difference between the two groups(P>0.05).Conclusion The foot stress injury prevention device is suitable for patients with severe stroke in bed,which can effectively reduce the incidence of stress injury and foot drop,improve the satisfaction of patients and operators,and is worthy of clinical promotion.

Objective To analyze the hot spots and trends of digital intelligence technology research in intensive care unit(ICU).Methods ICU digital intelligence technology related literature collected in Web of Science core database,China National Knowledge Infrastructure,Wanfang Data Knowledge Service Platform,VIP Chinese Journal Service Platform were searched,and the retrieval period is from the establishment of the database to December 12,2023,and visualized analysis was performed by CiteSpace software.Results 700 Chinese literatures and 1705 English literatures were included.Conclusion A total of 18 clusters were formed in Chinese literature,including smart phones,data mining,ventricular premature beats,sepsis,etc.A total of 17 clusters were formed in English literature,including deep learning,expert systems,natural language processing,physiological characteristics,etc.Among them,risk prediction model and clinical decision support are the trends of future research.Conclusion By broadening the scope of diseases and populations,joint artificial intelligence research and development of wearable devices and intelligent detection cloud systems,robots,etc.,is the development trend of the future application field of ICU digital intelligence technology.

Bladder cancer remains the 10th most common cancer worldwide. In recent years, metformin has been found to have potential anti-bladder cancer activ-ity while high concentration of IC50 at millimolar level is needed, which could not be reached by regular oral administration route. Thus, higher efficient agent is urgently demanded for clinically treating bladder cancer. Here, by conjugating artesunate to metformin, a novel artesunate-metformin dimer triazine derivative AM2 was designed and synthesized. The inhibitory effect of AM2 on bladder cancer cell line T24 and the mechanism underlying was determined. Anti-tumor activity of AM2 was assessed by MTT, cloning formation and wound healing assays. Decreasing effect of AM2 on lipogenesis was determined by oil red O staining. The protein expressions of Clusterin, SREBP1 and FASN in T24 cells were evaluated by Western blotting. The results show that AM2 significantly inhibited cell proliferation and migration at micromolar level, much higher than parental metformin. AM2 reduced lipogenesis and down-regulated the expressions of Clusterin, SREBP1 and FASN. These results suggest that AM2 inhibits the growth of bladder cancer cells T24 by inhibiting cellular lipogenesis associated with the Clusterin/SREBP1/FASN signaling pathway.

Humans ; Skin ; Rosacea ; Patients

Rosacea is a chronic inflammatory disease. In addition to subjective evaluation, some objective quantifiable indices are needed for the diagnosis and treatment of rosacea. Some skin imaging and noninvasive measurement tools have been applied to clinical practice, and can provide quantitative or semi-quantitative indices to assist the diagnosis and treatment of rosacea. This review summarizes relevant research progress to provide evidence for clinical standardized application.

Rosacea is a chronic recurrent inflammatory skin disease that mainly occurs on the face. A large number of studies have confirmed that rosacea is related to a variety of systemic diseases, including neuropsychiatric diseases such as anxiety, depression, migraine, Alzheimer′s disease and Parkinson′s disease. This review summarizes research progress in the correlation between rosacea and neuropsychiatric diseases, as well as the underlying mechanisms.

Objective:To improve the prognosis stratification, especially early mortality(EM), of elderly patients with newly diagnosed multiple myeloma(NDMM).Methods:In this retrospective study, univariate and multivariate Cox regression analysis were conducted to identify the independent prognostic factors associated with overall survival(OS)and the chi-square test and multivariate Logistic analysis were used to identify the prognostic factors associated with EM in 223 elderly patients(age≥65 years)with NDMM from three centers in the country.Results:Increased NT-pro-BNP(≥300 pg/ml), ECOG-PS≥2 and stage Ⅲ R-ISS were identified as three independent adverse prognostic factors of OS.The rates of EM3, EM6, EM12 and EM24 were 12.1%, 20.1%, 32.2% and 60%, respectively.The most common cause for EM6(particularly EM3)was disease-related complications resulting from ineligibility for treatment due to poor physical performance, severe organ dysfunction or treatment discontinuation due to treatment intolerance, while the most common cause for EM12(particularly EM24)was disease progression or relapse mainly as a result of inadequate treatment.R-ISS staging failed to predict EM, while decreased eGFR, ECOG-PS≥2, and increased NT-pro-BNP were able to estimate the risk of EM, with increased NT-pro-BNP as a common independent factor for EM12( P=0.03)and EM24( P=0.015). Conclusions:R-ISS staging, which primarily reflects MM biology, cannot predict EM.However, factors such as NT-pro-BNP, eGFR and ECOG-PS associated with frailty and impairment of organ functions can be used to estimate the risk of EM, among which NT-pro-BNP may be the most important independent factor for EM.Therefore, incorporation of these frailty-related biomarkers into R-ISS staging may be able to more precisely estimate the prognosis and particularly early death of elderly patients with NDMM.