Objective:To establish an early warning model of oral infection risk in patients with acute leukemia undergoing chemotherapy and to verify its predictive efficacy, so as to provide reference for formulating strategies to prevent oral infections.Methods:A retrospective study was conducted to select 288 patients with acute leukemia undergoing chemotherapy from January 2021 to January 2023 in Hematology Hospital of Chinese Academy of Medical Sciences (Institute of Hematology, Chinese Academy of Medical Sciences) as the training set. According to whether they developed oral infection after chemotherapy, they were divided into the infected group and the non-infected group. The risk factors of oral infection in patients with acute leukemia undergoing chemotherapy were investigated, and a risk warning model was established. A total of 246 acute leukemia undergoing chemotherapy patients admitted to the same hospital from February 2023 to February 2024 were selected as the validation set to conduct external verification of the model.Results:The oral infection rate was 19.44% (56/288) in the training set. There were 21 males and 35 females in the infected group (56 cases), with 49 cases<60 years old and 7 cases ≥60 years old. There were 102 males and 130 females in the non infected group (232 cases), with 196 cases<60 years old and 36 cases ≥60 years old. Multivariate analysis showed that neutrophil count <1.5×10 9/L, nutritional risk screening 2002≥3 points, high-dose of methotrexate, antibiotic types ≥3, poor oral self-cleaning habits, oral pH ≤6.5 were the risk factors for oral infection in patients with acute leukemia undergoing chemotherapy ( OR values were 2.716-10.074, all P<0.05). Based on this, the risk early warning model was as follows: Logit ( P)=-5.849+2.310× neutrophil count <1.5×10 9/L+1.363× nutritional risk screening 2002≥3 points +1.150× high-dose methotrexate +1.132× antibiotic types ≥3 + 1.044× oral pH ≤6.5 + 0.999× poor oral self-cleaning habits. The area under receiver operator characteristics curves (ROC) curve of this model Logit ( P) was 0.892, the maximum approximate entry index was 0.653, the sensitivity was 0.804, and the specificity was 0.849. Hosmer-Lemeshow test results indicated that χ2=4.91, P=0.768. For external validation, the goodness of fit test results were χ2=6.47, P=0.595. The area under ROC curve was 0.884, the sensitivity was 0.832, and the specificity was 0.825. Conclusions:The established early warning model of oral infection risk in patients with acute leukemia undergoing chemotherapy has good predictive value, which is helpful for medical staff to conduct early risk assessment of oral infection in such patients, and formulate countermeasures to reduce the incidence and improve the treatment effect of the disease.

Objective:To establish an early warning model of oral infection risk in patients with acute leukemia undergoing chemotherapy and to verify its predictive efficacy, so as to provide reference for formulating strategies to prevent oral infections.Methods:A retrospective study was conducted to select 288 patients with acute leukemia undergoing chemotherapy from January 2021 to January 2023 in Hematology Hospital of Chinese Academy of Medical Sciences (Institute of Hematology, Chinese Academy of Medical Sciences) as the training set. According to whether they developed oral infection after chemotherapy, they were divided into the infected group and the non-infected group. The risk factors of oral infection in patients with acute leukemia undergoing chemotherapy were investigated, and a risk warning model was established. A total of 246 acute leukemia undergoing chemotherapy patients admitted to the same hospital from February 2023 to February 2024 were selected as the validation set to conduct external verification of the model.Results:The oral infection rate was 19.44% (56/288) in the training set. There were 21 males and 35 females in the infected group (56 cases), with 49 cases<60 years old and 7 cases ≥60 years old. There were 102 males and 130 females in the non infected group (232 cases), with 196 cases<60 years old and 36 cases ≥60 years old. Multivariate analysis showed that neutrophil count <1.5×10 9/L, nutritional risk screening 2002≥3 points, high-dose of methotrexate, antibiotic types ≥3, poor oral self-cleaning habits, oral pH ≤6.5 were the risk factors for oral infection in patients with acute leukemia undergoing chemotherapy ( OR values were 2.716-10.074, all P<0.05). Based on this, the risk early warning model was as follows: Logit ( P)=-5.849+2.310× neutrophil count <1.5×10 9/L+1.363× nutritional risk screening 2002≥3 points +1.150× high-dose methotrexate +1.132× antibiotic types ≥3 + 1.044× oral pH ≤6.5 + 0.999× poor oral self-cleaning habits. The area under receiver operator characteristics curves (ROC) curve of this model Logit ( P) was 0.892, the maximum approximate entry index was 0.653, the sensitivity was 0.804, and the specificity was 0.849. Hosmer-Lemeshow test results indicated that χ2=4.91, P=0.768. For external validation, the goodness of fit test results were χ2=6.47, P=0.595. The area under ROC curve was 0.884, the sensitivity was 0.832, and the specificity was 0.825. Conclusions:The established early warning model of oral infection risk in patients with acute leukemia undergoing chemotherapy has good predictive value, which is helpful for medical staff to conduct early risk assessment of oral infection in such patients, and formulate countermeasures to reduce the incidence and improve the treatment effect of the disease.

Objective To investigate the fluctuations in the population density of Aedes albopictus and changes in the population density of Ae. albopictus in different geographical areas and different breeding habitats in Guangdong Province from 2018 to 2023, so as to provide insights into prevention and control of mosquito-borne infectious diseases in the province. Methods Ae. albopictus surveillance sites were assigned in 1 609 townships (streets) from 121 districts (counties) of 21 cities in Guangdong Province during the period between March and November from 2018 to 2023. The surveillance of the population density of Ae. albopictus was performed once a month in each surveillance site, and once a month in specific settings in cities where dengue were highly prevalent in Guangdong Province from December to February of the next year during the period from 2018 through 2023. Four streets (villages) were selected in each surveillance site according to the geographic orientation, and mosquito ovitraps were assigned in gardens, rooftops or public green belts at residential areas, parks, hospitals and construction sites. All mosquito ovitraps were collected, and the mosquito ovitrap index (MOI) was calculated. The population density of Ae. albopictus was classified into four grades in each surveillance site according to MOI, including no risk, low risk, medium risk and high risk. The risk classification of the Ae. albopictus density was analyzed in each surveillance site each year from 2018 to 2023, and the population density of Ae. albopictus was analyzed at different months and in different geographical areas and breeding habitats. Results A total of 118 241 Ae. albopictus surveillance sites were assigned in 21 cities of Guangdong Province from 2018 to 2023, and there were 68.26% of the surveillance sites with the population density of Ae. albopictus that met the requirements for dengue prevention and control, among which low, medium and high risk surveillance sites accounted for 23.61%, 6.67% and 1.47%. The risk classification of the Ae. albopictus density increased rapidly in Guangdong Province since April to May each year from 2018 to 2023, and then gradually reduced since September to October, with the peak during the period between May and July. The mean MOI was 4.21 at each surveillance site in Guangdong Province during the period from 2018 to 2023, with 4.69, 4.80, 4.38, 3.82, 3.38, and 4.33 from 2018 to 2023, respectively. The MOI was 4.35, 4.43, 3.53 and 3.58 in the Pearl River Delta region, and eastern, western, and northern Guangdong Province, respectively, and was 4.18, 5.44, 4.75, 3.24, 4.27 and 3.70 in residential areas, parks, construction sites, hospitals, waste collection stations, and other breeding habitats, respectively. Conclusions The population density of adult Ae. albopictus peaked in Guangdong Province during the period between May and July from 2018 to 2023, with a high density of Ae. albopictus in the Pearl River Delta region and eastern Guangdong Province. Targeted Ae. albopictus control measures are recommended to be implemented prior to the peak of the Ae. albopictus population density to reduce the development of mosquito-borne infectious diseases.

The development of inflammatory bowel diseases (IBD) is associated with genetics, environment, immune abnormalities, and intestinal flora, including ulcerative colitis (UC) and Crohn′s disease (CD). Hypoxia-inducible factor-1α (HIF-1α) is a transcription factor that promotes the expression of multiple genes in response to the hypoxic environment, and its roles in regulating intestinal barrier function, intestinal metabolism, and inflammatory and immune responses are research hotspots. This article reviews the role of HIF-1α in IBD by analyzing the relationships between HIF-1α and intestinal epithelial barrier and inflammatory response to provide new ideas for the clinical treatment of IBD.

The development of inflammatory bowel diseases (IBD) is associated with genetics, environment, immune abnormalities, and intestinal flora, including ulcerative colitis (UC) and Crohn′s disease (CD). Hypoxia-inducible factor-1α (HIF-1α) is a transcription factor that promotes the expression of multiple genes in response to the hypoxic environment, and its roles in regulating intestinal barrier function, intestinal metabolism, and inflammatory and immune responses are research hotspots. This article reviews the role of HIF-1α in IBD by analyzing the relationships between HIF-1α and intestinal epithelial barrier and inflammatory response to provide new ideas for the clinical treatment of IBD.

Objective To investigate the compliance status of secondary prevention in patients with coronary artery disease (CAD) following revascularization.MethodsA total of 512 patients with CAD who received procedures for coronary revascularization were enrolled in the study from January 2009 to October 2010,including 472 cases of percutaneous coronary intervention stenting,25 cases of coronary artery bypass grafting and 15 cases of stenting plus bypass.The demographic information,prophylactic drug therapies, lifestylechangesandmodifiableriskfactorsweresurveyedwithquestionnaires,anthroposomatologicalmeasurementsandlaboratorytestsinpatients3monthsaftercoronary revascularization.ResultsThe proportion of patients on statins,aspirin,β-blockers,angiotensin-converting enzymeinhibitors/angiotensinreceptorblockers(ACEIs/ARBs)andinfluenzavaccinationwere 81.4％ (417/512),93.9％ ( 481/512 ),82.0％ ( 420/512 ),76.2％ ( 390/512 ) and 3.7％ ( 19/512 ) respectively.Based on the criteria recommended by the American Heart Association/American College of Cardiology (AHA/ACC)Guidelines for Secondary Prevention for Patients with Coronary and Other Atherosclerotic Vascular Disease: 2006 Update, the percentages of achieving therapeutic targets of modifiable risk factor management were as follows:glycosylated hemoglobin (90.2％,462/512 ),total cholesterol ( 68.6％,351/512 ),triglycerides ( 58.8％,301/512 ),high-density lipoprotein cholesterol ( 91.6％,469/512 ),low-density lipoprotein cholesterol ( 44.5 ％,228/512 ),systolic pressure ( 75.2 ％,385/512 ) and diastolic pressure (90.4％,463/512 ) respectively.And the proportions of improved lifestyle were as follows:smoking cessation/non-smoking 81.4％ (417/512),diet control 78.5％ ( 402/512 ),achieving weight targets 61.7％ (316/512)and regular exercise 58.2％ (298/512).ConclusionsThere is a relatively high percentage of standardized antiplatelet therapy and continuous statins medication in patients with coronary artery disease following revascularization. However,many significant modifiable risk factors have not been controlled optimally and lifestyle of patients needs further improvement. There is still a considerable scope for further improvement of secondary prevention in this group of patients.