Objective This study examines the factors influencing oral frailty in the elderly community,develops a risk prediction model,and validates its efficacy,so as to provide references for identifying and preventing oral weakness in the elderly.Methods 556 elderly individuals from 4 communities were selected by convenience sampling from June to August 2024 in Zigong City Sichuan Province.They were randomly divided into a training group(383 cases)and a validation group(165 cases).Data were collected by a general information questionnaire,Social Frailty Scale,Geriatric Depression Scale,and the Oral Frailty Index-8 screening tool.Logistic regression was used to determine the influencing factors,and R software was used to establish a nomogram model for predicting the risk of oral frailty.Bootstrap method and the validation group were used for internally validation of the model.Calibration curve was used to evaluate the prediction performance of the model.Results 548 valid questionnaires were collected.The final model variables included whether the age ≥80 years,wearing removable dentures,reduced frequency of going out,brushing teeth less than twice a day,frequent dry mouth,increased difficulty in eating hard foods,and choking.The area under the receiver operating characteristic curve of the training group was 0.95(95％CI:0.93～0.97),and the best cutoff value was 0.687.The model achieved an accuracy of 87％,sensitivity of 91％,specificity of 85％,positive predictive value of 0.75,and negative predictive value of 0.95.The Hosmer-Lemeshow fitting test show that x2=3.036,P=0.932,indicating a good model fit.Conclusion The oral frailty prediction model demonstrated a good discrimination,calibration,and clinical utility,which can provide a scientific basis for the prevention and early screening of oral frailty in the elderly.

Objective This study examines the factors influencing oral frailty in the elderly community,develops a risk prediction model,and validates its efficacy,so as to provide references for identifying and preventing oral weakness in the elderly.Methods 556 elderly individuals from 4 communities were selected by convenience sampling from June to August 2024 in Zigong City Sichuan Province.They were randomly divided into a training group(383 cases)and a validation group(165 cases).Data were collected by a general information questionnaire,Social Frailty Scale,Geriatric Depression Scale,and the Oral Frailty Index-8 screening tool.Logistic regression was used to determine the influencing factors,and R software was used to establish a nomogram model for predicting the risk of oral frailty.Bootstrap method and the validation group were used for internally validation of the model.Calibration curve was used to evaluate the prediction performance of the model.Results 548 valid questionnaires were collected.The final model variables included whether the age ≥80 years,wearing removable dentures,reduced frequency of going out,brushing teeth less than twice a day,frequent dry mouth,increased difficulty in eating hard foods,and choking.The area under the receiver operating characteristic curve of the training group was 0.95(95％CI:0.93～0.97),and the best cutoff value was 0.687.The model achieved an accuracy of 87％,sensitivity of 91％,specificity of 85％,positive predictive value of 0.75,and negative predictive value of 0.95.The Hosmer-Lemeshow fitting test show that x2=3.036,P=0.932,indicating a good model fit.Conclusion The oral frailty prediction model demonstrated a good discrimination,calibration,and clinical utility,which can provide a scientific basis for the prevention and early screening of oral frailty in the elderly.

[Objective]To observe the dynamic changes of serum LH levels in different GnRH-along protocols ,and investigate the relationship between GnRH-adosage and LH levels ,and compare the clinical outcomes among different GnRH-a long protocols.[Methods]In this retrospective study,1.0 mg,0.8 mg,0.375 mg long-acting and 0.1 mg/d,0.05 mg/d short-acting GnRH-a long protocols were included from January to June in 2015 at the Reproductive Medicine Center of the First Affiliated Hospital of Sun Yat-Sen University. Serum LH levels were evaluated from a total of 250 women at the four time points,on the day before gonadotropin stimulation(Gn0),the fourth day of Gn stimulation(Gn4),the seventh day of Gn stimulation(Gn7),and the HCG administration day(HCG day),then the relationship between serum LH levels and the dosage of GnRH-a were analyzed. The number of oocytes retrieved,fertilization rate,good quality embryos rate,blastocyst transferred rate,the number of transferred embryos,implantation rate and clinical pregnancy rate were also compared.[Results]Among the long-acting groups,LH levels in 0.375 mg group were higher than those in 1.0 mg and 0.8 mg groups at the four time points(P<0.05). Total Gn dose,duration of Gnstimualtion and HMG dosage of 1.0 mg protocol and 0.8 mg protocol were significantly higher than those of 0.375 mg group(P < 0.05). In addition,the implantation rate showed an increasing tendency when the level of LH increases(P>0.05). In short-acting groups,the LH levels in 0.05 mg/d protocol were significantly lower than those in the 0.1 mg/d group at Gn0,Gn7 and HCG day(P<0.05). Total Gn dose,du?ration of Gn stimulation and HMG dosage did not show significant difference between 0.05mg and 0.1mg group. What′s more,the im?plantation rate in 0.1 mg/d group was higher than in 0.05 mg/d group(P>0.05).[Conclusion]Among the long-acting groups,the smaller amount of GnRH-a was administrated ,the higher LH levels during ovarian stimulation and implantation rate the patients ob?tained. As to the short-acting groups,the LH level and implantation rate in 0.1 mg/d group is higher than those in 0.05 mg/d group.

Objective To investigate pathogens and drug resistance of lower respiratory tract infection(LRTI)in Intensive Care Unit(ICU).Methods Retrospective study of the clinical data,the distribution and the drug-sensitivity of pathogens of 220 cases with LRTI in ICU.Results Totally 280 strains of pathogens were identified by bacterial culturing.The ratio of G-bacteria to total pathogens isolated was 63.5%,of the G+ bacteria was 25.1%,and of the fungi was 11.4%.The main kinds of the G-bacteria were Klebsiella pneumoniae(17.1%),Pseudomonas aeruginosa(13.2%),Acinetobacter baumannii(12.5%),and Stenotrophomonas maltophilia(10.4%).Staphylococcus aureus(SA)(91.4%)was the most prominent in G+ bacteria,and MRSA was 98.4% in SA.The result of drug sensitive test in vitro showed the multiple drug fast rate of Pseudomonas aeruginosa was comparatively high,Stenotrophomonas maltophilia to Levofloxacin was low,Klebsiella pneumoniae and Acinetobacter baumannii were highly sensitive to carbapenems.The susceptibility rate of MRSA to vancomycin was 100%.Conclusion G-bacteria are the majority of the pathogens,isolated from patients with LRTI in ICU.Klebsiella pneumoniae,Pseudomonas aeruginosa,Acinetobacter baumannii,and Stenotrophomonas maltophilia are the chief G-pathogens.Except Stenotrophomonas maltophilia,imipenem and merpenem are relatively active against the G-bacilli.The proportion of MRSA and fungal infection is increasing.It is suggested that there be urgent need for surveillance of bacterial resistance and rational use of antimicrobial agents during clinical therapy.