Objective To use bibliometrics to identify research hotspots and emerging trends in the use of artificial intelligence (AI) in healthcare-associated infections (HAI), as well as to offer a resource for more relevant research. Methods The literature on AI and HAI from the Science Citation Index Expanded database of the Web of Science Core Collection was retrieved through computer searches, covering the period from January 1, 1994, to January 22, 2024. VOSviewer (v1.6.19) and CiteSpace (v6.1. R6) software were utilized for bibliometric analysis, creating knowledge maps that include research cooperation networks and keyword analysis. Results A total of 305 documents were included, and both the number of early publications and the frequency of citations were at a very low level for a long time before showing an annual increase trend after 2018. The United States had the most published documents among the 50 countries/regions from where they were sourced. Harvard University was the scientific research institution with the most publications, while Professor Evans HL of the Medical University of South Carolina was the scholar with the most publications. Research on AI in the field of HAI primarily focused on three aspects: AI algorithms and technologies, monitoring and prediction of HAI, and the accuracy of HAI diagnosis and prediction. These findings were based on keyword co-occurrence and clustering analysis. Conclusions A new phase of AI research in the subject of HAI has begun. More in-depth research can be done in the future for the hot direction, as there is still a gap between China’s academic accomplishments in this subject and the advanced level of the world.
ObjectiveTo learn the outcomes of hepatitis B virus (HBV)-related acute-on-chronic liver failure (ACLF) cases after artificial liver support system (ALSS) treatment and the relevant factors correlated with the clinical outcomes. MethodsIn the period from January 2011 to June 2014, 321 patients with HBV-ACLF were admitted to West China Hospital. The clinical data at baseline, before and after treatment were analyzed by univariate and multivariate logistic regressions to identify the independent risk factors correlated with 30-day outcomes. ResultsOf all the 321 patients, 233 survived and 88 died by the end of a 30-day observation. The univariate analysis identified that the incidences of cirrhosis, hepatorenal syndrome and peritonitis in the death group were significantly higher (P<0.05). The model for end-stage liver disease values, white blood cells (WBC), blood ammonia, creatinine and total bilirubin (TBIL) at different stages in the death group were significantly higher than those in the survival group (P<0.05). In the death group, the HBV-DNA, TBIL decrease after triple ALSS treatments, baseline prothrombin time activity (PTA) and PTA level after triple ALSS treatments were significantly lower (P<0.05). The multivariate logistic regression indicated that WBC (OR=2.337, P<0.001) and TBIL level after triple ALSS treatments (OR=4.935, P<0.001) were independent predicting factors for death within 30 days after ALSS treatment; HBV-DNA (OR=0.403, P<0.001), the decrease of TBIL after triple ALSS treatments (OR=0.447, P<0.001) and PTA level after triple ALSS treatments (OR=0.332, P<0.001) were protecting factors for the 30-day prognosis. ConclusionThese five factors including WBC, HBV-DNA, PTA, TBIL and TBIL decrease after triple ALSS treatments influence the short-term prognosis for HBV-ACLF patients, which are valuable for decision making in clinical practices.
ObjectiveTo investigate the effect of pulmonary ultrasound on pulmonary complications in ultra-fast-track anesthesia for congenital heart disease surgery.MethodsIn 2019, 60 patients with congenital heart diseases underwent ultra-fast-track anesthesia in Shenzhen Children's Hospital, including 34 males and 26 females with the age ranging from 1 month to 6 years. They were randomly divided into a normal group (group N, n=30) and a lung ultrasound optimization group (group L, n=30). Both groups were used the same anesthesia method and anesthetic compatibility. The group N was anesthetized by ultra-fast-track, the tracheal tube was removed after operation and then the patients were sent to the cardiac intensive care unit (CCU). After operation in the group L, according to the contrast of pre- and post-operational lung ultrasonic examination results, for the patients with fusion of B line, atelectasis and pulmonary bronchus inflating sign which caused the increase of lung ultrasound score (LUS), targeted optimization treatment was performed, including sputum suction in the tracheal tube, bronchoscopy alveolar lavage, manual lung inflation suction, ultrasound-guided lung recruitment and other optimization treatments, and then the patients were extubated after lung ultrasound assessment and sent to CCU. The occurrence of pulmonary complications, LUS, oxygenation index (OI), extubation time, etc were compared between the two groups.ResultsCompared with the induction of anesthesia and 1 hour after extubation of the two groups, the incidence of pulmonary complications in the group L (18 patients, 60.0%) was lower than that in the group N (26 patients, 86.7%, χ2= 4.17, P=0.040) and the rate of patients with LUS score reduction was higher in the group L (15 patients, 50.0%) than that in the group N (7 patients, 23.3%, χ2=4.59, P=0.032). The correlation analysis between the LUS and OI value of all patients at each time point showed a good negative correlation (P<0.05). Extubation time in the group L was longer than that in the group N (18.70±5.42 min vs. 13.47±4.73 min, P=0.001).ConclusionUltra-fast-track anesthesia for congenital heart disease can be optimized by pulmonary ultrasound examination before extubation, which can significantly reduce postoperative pulmonary complications, improve postoperative lung imaging performance, and help patients recover after surgery, and has clinical application value.
Objective To summarize the donor factors and experimental factors that affect adipogenic differentiation of adipose derived stem cells, so as to provide reference for adipogenic differentiation of adipose derived stem cells. Methods The related research literature about donor factors and experimental factors affecting adipogenic differentiation of adipose derived stem cells in recent years was extensively reviewed and summarized. Results There are a lot of donor factors and experimental factors affecting adipogenic differentiation of adipose derived stem cells, but some of the factors are still controversial, such as donor age, health status, adipose tissue of different parts, and so on. These factors need to be further studied. Conclusion The donor factors and experimental factors that affect adipogenic differentiation of adipose derived stem cells should be deeply studied and the controversial issues should be clarified to lay a solid foundation for the application of adipose derived stem cells in adipose tissue engineering.