BACKGROUND: The protective effectiveness of an N95 respirator depends on the filtration efficiency of the material from which the N95 respirator is made of, as well as the wearers' facial fit. The facial fit of an N95 respirator mainly depends on the degree of matching between the wearers' facial dimension characteristics and the N95 respirator. Quantitative fit testing objectively evaluates the fit of N95 respirators; however, it is not easy to promote because of the limitations of testing conditions. The aim of this study is to establish a fit prediction model of N95 respirator based on facial images. METHODS: Facial images and fit factor (FF) value of 5 N95 respirators were gathered from 299 medical staffs in 10 hospitals in Beijing. Face geometry measurement was based on 3D face modelling, and the American TSI-8038 Porta Count Pro+ was used to conduct quantitative fit test. Multiple linear regression analysis was employed to identify facial dimensional features that significantly influenced the fit of N95 respirators. Through matching training of facial image and FF values, a fit prediction model has been established, enabling rapid recommendation of N95 respirators meeting the fit standard via facial image recognition. RESULTS: A fit prediction model for N95 respirators based on facial images has been developed, which enables the rapid recommendation of N95 respirators with acceptable FF value for healthcare personnel. The model demonstrated an accuracy of 55.93%, a precision of 98.43%, a recall of 51.65%, and an F1 score of 0.68. CONCLUSIONS It is feasible to utilize computer-based facial recognition technology to rapidly recommend N95 respirators for medical personnel. Given the high level of accuracy achieved, the model demonstrates significant potential for practical application.
Humans ; Face/anatomy & histology* ; N95 Respirators/standards* ; Male ; Adult ; Female ; Middle Aged ; Beijing

Objective Establish the fingerprint of the group and optimize the extraction process of the Yunpi Huatan Tongqiao decoction.Methods The macroscopic characterization and similarity analysis of the extract fingerprint were carried out by applying the total statistical moment method.With baicalin,wogonin,rosmarinic acid,liquiritin,glycyrrhizic acid and paste yield as key quality attributes,and extraction time,water addition and extraction times as key process parameters,the optimal extraction process was selected by AHP-independent weight method,and the process was verified.Results Establishing a total statistical moment similarity evaluation method,and the average statistical moment similarity of the total amount of fingerprints of different extraction methods was 0.8807.The ANOVA results of the process evaluation model function are displayed that P<0.0001,R2=0.9904,indicating that the model was statistically significant.The best extraction process was determined as follows:adding 10-fold volume of water in the whole prescription,extracting for 1.5 h and extracting twice.Conclusion The total statistical moment analysis method that conforms to the fingerprint characteristics of the fingerprint of the extract was established,which was stable and reliable,which provided a reference basis for the quality control of the whole process of the subsequent process research.

Objective:To evaluate the efficacy and safety of hypomethylating agents (HMA) in patients with myelodysplastic syndromes (MDS) .Methods:A total of 409 MDS patients from 45 hospitals in Zhejiang province who received at least four consecutive cycles of HMA monotherapy as initial therapy were enrolled to evaluate the efficacy and safety of HMA. Mann-Whitney U or Chi-square tests were used to compare the differences in the clinical data. Logistic regression and Cox regression were used to analyze the factors affecting efficacy and survival. Kaplan-Meier was used for survival analysis. Results:Patients received HMA treatment for a median of 6 cycles (range, 4-25 cycles) . The complete remission (CR) rate was 33.98% and the overall response rate (ORR) was 77.02%. Multivariate analysis revealed that complex karyotype ( P=0.02, OR=0.39, 95% CI 0.18-0.84) was an independent favorable factor for CR rate. TP53 mutation ( P=0.02, OR=0.22, 95% CI 0.06-0.77) was a predictive factor for a higher ORR. The median OS for the HMA-treated patients was 25.67 (95% CI 21.14-30.19) months. HMA response ( P=0.036, HR=0.47, 95% CI 0.23-0.95) was an independent favorable prognostic factor, whereas complex karyotype ( P=0.024, HR=2.14, 95% CI 1.10-4.15) , leukemia transformation ( P<0.001, HR=2.839, 95% CI 1.64-4.92) , and TP53 mutation ( P=0.012, HR=2.19, 95% CI 1.19-4.07) were independent adverse prognostic factors. There was no significant difference in efficacy and survival between the reduced and standard doses of HMA. The CR rate and ORR of MDS patients treated with decitabine and azacitidine were not significantly different. The median OS of patients treated with decitabine was longer compared with that of patients treated with azacitidine (29.53 months vs 20.17 months, P=0.007) . The incidence of bone marrow suppression and pneumonia in the decitabine group was higher compared with that in the azacitidine group. Conclusion:Continuous and regular use of appropriate doses of hypomethylating agents may benefit MDS patients to the greatest extent if it is tolerated.

Objective To collect data related to nursing quality,describe and analyze the application effect,and explore its application value by combining the contents of key contents of nursing quality control with information technology in clinical nursing work.Methods Based on the clinical nursing quality control information system currently operated in Yichun People's Hospital,actual contents of nursing quality control were incorporated into the system,focusing on key links of nursing quality control,such as patient identification management,medication safety management,doctor's order check management,nursing document writing,overall nursing responsibility system,and health education management.Additionally,the study compared the performance of these quality control points before and after the integration of information technology.Results Following the inte-gration of key quality control contents in nursing with information technology,all departments of the hospital achieved a signifi-cantly higher pass rates for patient identification management,medication safety management,doctor's order check management,health education management,and follow-up rates of discharged patients(P＜0.05),while they had a significant decrease in the incidence of fall injuries,in-hospital pressure injuries,and unplanned extubation among inpatients(P＜0.05).Additionally,the time for post-ward nursing data extraction,problem feedback,and correction cycle was significantly shortened after implemen-tation(P＜0.05).Conclusion The information-oriented key contents of nursing quality control yields effectiveness in enhancing the performance of various quality control measures and reducing the occurrence of adverse events such as fall injuries and pres-sure injuries.This integration allows for more accurate data collection,improves patient follow-up rates,and facilitates timely ad-justments in nursing practices.The study recommends utilizing scientific methods to extract reliable monitoring information,en-hance data accuracy,and minimize adverse events.

Objective:To investigate the effect of different body mass index categories on the prognosis of endometrial cancer in patients.Methods:A total of 100 patients with endometrial cancer who received treatment at the First People's Hospital of Jiande from January 2018 to June 2023 were included in this study. Based on different body mass index categories, they were divided into a normal group (18.50 - < 25.00 kg/m2), an overweight group (25.00-30.00 kg/m2), and an obese group (> 30.00 kg/m2). The effect of body mass index on the prognosis of endometrial cancer was analyzed.Results:The age differences among patients with different body mass index categories were statistically significant (all P < 0.05). Compared with the normal group, the age of patients in the overweight and obese groups was younger. Kaplan-Meier survival analysis showed that different body mass index categories had no significant effect on overall survival. Univariate analysis revealed that patients who were younger, had advanced tumor stages, exhibited deep muscular layer infiltration, and tested positive for pelvic lymph nodes exhibited significantly shorter overall survival compared with those without these factors (all P < 0.05). Multivariate Cox regression analysis showed that age had a certain effect on the prognosis of endometrial cancer in patients ( RR = 3.438, 95% CI: 1.404-8.421, P < 0.05). Conclusion:Body mass index has no significant effect on the prognosis of endometrial cancer. Patients who are diagnosed with endometrial cancer and have a higher body mass index tend to be notably younger than those with a lower body mass index, which could potentially be a critical factor influencing their prognosis. This needs further investigation.

Objective Air pollution is a leading public health issue.This study investigated the effect of air quality and pollutants on pulmonary function and inflammation in patients with asthma in Shanghai. Methods The study monitored 27 asthma outpatients for a year,collecting data on weather,patient self-management[daily asthma diary,peak expiratory flow(PEF)monitoring,medication usage],spirometry and serum markers.To explore the potential mechanisms of any effects,asthmatic mice induced by ovalbumin(OVA)were exposed to PM2.5. Results Statistical and correlational analyses revealed that air pollutants have both acute and chronic effects on asthma.Acute exposure showed a correlation between PEF and levels of ozone(O3)and nitrogen dioxide(NO2).Chronic exposure indicated that interleukin-5(IL-5)and interleukin-13(IL-13)levels correlated with PM2.5 and PM10 concentrations.In asthmatic mouse models,exposure to PM2.5 increased cytokine levels and worsened lung function.Additionally,PM2.5 exposure inhibited cell proliferation by blocking the NF-κB and ERK phosphorylation pathways. Conclusion Ambient air pollutants exacerbate asthma by worsening lung function and enhancing Th2-mediated inflammation.Specifically,PM2.5 significantly contributes to these adverse effects.Further research is needed to elucidate the mechanisms by which PM2.5 impacts asthma.

Objective:To understand the incidence of diabetes and influencing factors, the trend of FPG change and risk for mortality in HIV-infected individuals after antiretroviral therapy (ART) in Dehong Dai and Jingpo Autonomous Prefecture (Dehong).Methods:The HIV/AIDS treatment database was collected from China Information System for Disease Control and Prevention. This retrospective cohort study was conducted in HIV-infected individuals with access to ART in Dehong during 2004-2020.The Cox proportional hazard regression model was used to analyze the incidence density of diabetes, the influencing factors and risk for mortality in HIV-infected individuals with access to ART, mixed linear effects model was used to analyze the trend of FPG change and predict FPG in those with different glucose metabolic status at baseline survey. Statistical analysis was performed using software SAS 9.4.Results:A total of 8 763 HIV-infected individuals were included, in whom 8 432 (96.2%) had no diabetes, 331 had diabetes. The incidence density of diabetes was 2.31/1 000 person years. Multivariate Cox proportional hazard regression analysis revealed that 30- 59 years old, BMI ≥24.0 kg/m 2, Efavirenz (EFV) based initial treatment regimen and impaired fasting glucose (IFG) at baseline survey were significantly and positively associated with incidence of diabetes. Mixed effect model revealed that FPG was positively correlated with the duration of ART, age and baseline FPG. Suffering from diabetes was a risk factor for mortality in HIV-infected individuals both at baseline survey and during follow-up. Conclusions:The risk for diabetes increased in HIV-infected individuals who were 30-59 years old, baseline BMI ≥24.0 kg/m 2, received EFV based initial treatment, and IFG in HIV-infected individuals after antiretroviral therapy in Dehong, 2004-2020. It is important to pay close attention to their blood glucose, and patients with high blood glucose should receive treatment as early as possible.

This paper reports a case of eosinophilic esophagitis who presented with dysphagia. The patient was a 54-year-old woman with diffuse esophageal thickening on ultrasonographic gastroscopy. Pathology demonstrated scattered eosinophilic infiltration within the squamous epithelium of the esophagus, accompanied by eosinophilic microabscess, and the counting density of eosinophilic cells was about 30/HPF, which was consistent with the diagnostic criteria of eosinophilic esophagitis (moderately active). After oral administration of prednisone acetate 30 mg/d and gradual reduction of the dose, the patient's clinical symptoms were significantly eased, and the imaging confirmed the improvement of the lesions. This article summarizes the patient's diagnostic and therapeutic process, and reviews the relevant literature in order to enhance clinicians' understanding of this disease.

Objective Sleep spindles play an important role in promoting cognition.This paper discusses the influencing factors of sleep spindles and provides objective evidence for clinical intervention and regulation of spindles to improve sleep and cognition.Methods Fifty patients with poor sleep quality were monitored overnight by sleep monitoring system,and physiological parameters of sleep structure,electroencephalography power spectrum,cardiovascular and respiratory function were obtained.The correlations between the parameters,age,sex and the spindle index and characteristics(frequency,duration and amplitude)of non rapid-eye-movement sleep(NREM)Ⅱphase were calculated.In Poincare diagram,SD1 represents the positive index of parasympathetic nerve activity,and SD2 represents the negative index of sympathetic nerve activity.Pulse transit time(PTT)decline index represents vascular sympathetic stability.Results SD1(β =-0.512,P＜0.05)and PTT decline index(β =-0.271,P＜0.05)were negatively correlated with spindle index respectively,while SD2 was positively correlated with spindle index(β =0.474,P＜0.05).The sleep change index,NREMⅠ phase proportion and cortical EEG microarousal index were negatively correlated with spindle index(r =-0.316,r =-0.359,r =-0.326;all P＜0.05).Age was negatively correlated with spindle index(β =-0.422,P＜0.05).δ power of deep sleep was negatively correlated with Spindle wave amplitude(β = 0.65,P＜0.001).No correlation was found between sex and sleep spindles.Conclusions The production of sleep spindles depends on good sleep and stable autonomic nerves.It is related to cognition and reflects the strength of synaptic connections,which provides evidence for clinical intervention and regulation of sleep spindles,and also provides a new physiological indicator for evaluating cognitive and brain function.

Maternal separation is a kind of social deprivation in early life that has been shown to impede the learning and memory abilities of rodents(mainly rats or mice)in adulthood.Animal models of mother-infant separation are commonly used to study the manifestations and mechanisms of learning and memory impairment.In this paper,an animal model of maternal-infant separation and related mechanisms of maternal-infant separation that affect offspring's learning and memory are reviewed to provide a basis for subsequent research on maternal-infant separation.