Aromatherapy refers to the method of using the aromatic components of plants in appropriate forms to act on the entire body or a specific area to prevent and treat diseases. Essential oils used in aromatherapy are hydrophobic liquids containing volatile aromatic molecules， such as limonene， linalool， linalool acetate， geraniol， and citronellol. These chemicals have been extensively studied and shown to have a variety of functions， including reducing anxiety， relieving depression， promoting sleep， and providing pain relief. Terpenoids are a class of organic molecules with relatively low lipid solubility. After being inhaled， they can pass through the nasal mucosa for transfer or penetrate the skin and enter the bloodstream upon local application. Some of these substances also have the ability to cross the blood-brain barrier， thereby exerting effects on the central nervous system. Currently， the academic community generally agrees that products such as essential oils and aromatherapy from aromatic plants have certain health benefits. However， the process of extracting a single component from it and successfully developing it into a drug still faces many challenges. Its safety and efficacy still need to be further verified through more rigorous and systematic experiments. This article systematically elaborated on the efficacy of aromatic substances， including plant extracts and natural small molecule compounds， in antibacterial and antiviral fields and the regulation of nervous system activity. As a result， a deeper understanding of aromatherapy was achieved. At the same time， the potential of these aromatic substances for drug development was thoroughly explored， providing important references and insights for possible future drug research and application.

[This corrects the article DOI: 10.1016/j.apsb.2019.01.013.].

Objective:The research group had previously developed an artificial intelligence algorithm to predict sepsis within 24 hours at the triage stage in emergency departments. This research studied the doctors’ response to algorithm-generated risk alerts and designs appropriate physician-algorithm collaboration strategies to further enhance sepsis risk identification capabilities.Methods:The research collected 40 cases of sepsis in the emergency departments from the open medical database MIMIC-IV (Medical Information Mart for Intensive Care) for a collaboration test. The cases were selected according to their typicality and classified according to the model’s confidence in its prediction. A total of 165 emergency doctors from 58 hospitals in China, stratified by professional rank, participated in the study. Four collaboration modes were designed with different information volumes and reading costs using the information offered by the algorithm. During the test, before and after the model presented its results and interpretive information according to the collaboration mode, the doctors were asked to rate the sepsis risk for each sample and record their confidence.Results:Analysis of the 4 704 valid evaluations done by 147 doctors showed that different collaboration modes caused no significant difference on doctors’ detection of sepsis risk. For cases with high model confidence, physicians’ diagnostic accuracy improved by 2.6%±0.6% ( P=0.02) post-algorithm input, with increased confidence in correct judgments. Conversely, for low-confidence model predictions, diagnostic accuracy decreased by 2.6%±1.4% ( P=0.06), accompanied by reduced clinician confidence in accurate assessments. Conclusions:The collaboration effect is mostly determined by the model’s confidence in its prediction. Different collaboration modes cause no significant difference, and doctors of different titles are influenced consistently with the same model confidence. Suggestions for collaboration design are as follow. When the model has low confidence in its own assessment of a patient’s sepsis risk, it should not directly demonstrate its assessment. When the model has high confidence, its assessment can be offered to the doctors as a reference. When predicting sepsis at the triage stage in the emergency departments, no extra interpretive information is needed.

Objective:To understand the pathogenic composition and epidemiological characteristics of febrile respiratory syndrome (FRS) in elderly people aged 60 and above in China, and to provide a reference basis for the scientific and precise prevention and control of FRS in the elderly.Methods:Based on FRS cases surveillance data from information management system of National Technical Platform for Infectious Disease Surveillance, National Science and Technology Major Project of China, the surveillance pathogens included 8 viruses, including influenza virus (IFV), respiratory syncytial virus (RSV), adenovirus (HAdV), parainfluenza virus (HPIV), metapneumovirus (HMPV), coronavirus (HCoV), bocavirus and rhinovirus (HRV); 7 bacterias, namely Streptococcus pneumoniae ( S.pneumoniae), Staphylococcus aureus ( S.aureus), Klebsiella pneumoniae ( K.pneumoniae), Pseudomonas aeruginosa ( P.aeruginosa), Group A Streptococcus ( GAS), Haemophilus influenzae ( H.influenzae) and Legionella pneumophila ( L. pneumophila), in addition to Chlamydia pneumoniae ( C. pneumoniae) and Mycoplasma pneumoniae ( M. pneumoniae). A descriptive epidemiological approach was used to analyze the pathogenic composition and major epidemiological characteristics of FRS cases aged 60 years and older nationwide from 2009 to 2021. Results:The predominant viruses of FRS cases aged≥60 years accounted for 87.93% of the pathogen spectrum in China, including IFV (42.42%), HRV (16.71%), HPIV (11.53%), HCoV (9.52%), and RSV (7.75%), while the pathogen spectrum of the major bacteria accounted for 94.60%, including S. pneumoniae (25.71%), P. aeruginosa (24.97%), K. pneumoniae (22.47%), H. influenzae (12.23%), and S. aureus (9.22%). Influenza viruses have always been at the top of the viral pathogen spectrum, and P. aeruginosa, K. pneumoniae and S. pneumoniae, ranked high in the bacterial pathogen spectrum. Among them, the proportions of HRV, HPIV, RSV, K. pneumoniae, and H. influenzae fluctuated and increased during the 13 years of observation. The positive rate of any pathogen in FRS cases was higher in out patient emergencies (32.83%) than in hospitalized cases (27.26%) ( χ2 =125.89, P<0.001). The positive rate of IFV was higher in cases aged 60-74 years (13.66%). The positive rate of P. aeruginosa and K. pneumoniae were higher in cases aged ≥90 years (10.71%, 9.40%) and in northern regions (8.32%, 7.30%). The positive rate of any pathogen in FRS cases was higher in winter (33.82%) than in other seasons ( χ2=212.03, P<0.001). The positive rate of IFV and HRV were higher in winter (22.87%) and autumn (5.98%) and the positive rate of P.aeruginosa (8.11%) and K.pneumoniae (8.30%) were higher in summer. Conclusions:IFV, HRV, HPIV, S. pneumoniae, P. aeruginosa and K. pneumoniae were respectively the top three pathogens in the viral and bacterial pathogen spectrum of FRS cases aged 60 years and above in China from 2009 to 2021, and the positive rate of these main pathogens showed differences between age groups, seasons, and geographic regions. In the future, the dynamic surveillance of various pathogens in the elderly with respiratory tract infections should be continuously strengthened.

Objective:To understand the pathogenic composition and epidemiological characteristics of febrile respiratory syndrome (FRS) in elderly people aged 60 and above in China, and to provide a reference basis for the scientific and precise prevention and control of FRS in the elderly.Methods:Based on FRS cases surveillance data from information management system of National Technical Platform for Infectious Disease Surveillance, National Science and Technology Major Project of China, the surveillance pathogens included 8 viruses, including influenza virus (IFV), respiratory syncytial virus (RSV), adenovirus (HAdV), parainfluenza virus (HPIV), metapneumovirus (HMPV), coronavirus (HCoV), bocavirus and rhinovirus (HRV); 7 bacterias, namely Streptococcus pneumoniae ( S.pneumoniae), Staphylococcus aureus ( S.aureus), Klebsiella pneumoniae ( K.pneumoniae), Pseudomonas aeruginosa ( P.aeruginosa), Group A Streptococcus ( GAS), Haemophilus influenzae ( H.influenzae) and Legionella pneumophila ( L. pneumophila), in addition to Chlamydia pneumoniae ( C. pneumoniae) and Mycoplasma pneumoniae ( M. pneumoniae). A descriptive epidemiological approach was used to analyze the pathogenic composition and major epidemiological characteristics of FRS cases aged 60 years and older nationwide from 2009 to 2021. Results:The predominant viruses of FRS cases aged≥60 years accounted for 87.93% of the pathogen spectrum in China, including IFV (42.42%), HRV (16.71%), HPIV (11.53%), HCoV (9.52%), and RSV (7.75%), while the pathogen spectrum of the major bacteria accounted for 94.60%, including S. pneumoniae (25.71%), P. aeruginosa (24.97%), K. pneumoniae (22.47%), H. influenzae (12.23%), and S. aureus (9.22%). Influenza viruses have always been at the top of the viral pathogen spectrum, and P. aeruginosa, K. pneumoniae and S. pneumoniae, ranked high in the bacterial pathogen spectrum. Among them, the proportions of HRV, HPIV, RSV, K. pneumoniae, and H. influenzae fluctuated and increased during the 13 years of observation. The positive rate of any pathogen in FRS cases was higher in out patient emergencies (32.83%) than in hospitalized cases (27.26%) ( χ2 =125.89, P<0.001). The positive rate of IFV was higher in cases aged 60-74 years (13.66%). The positive rate of P. aeruginosa and K. pneumoniae were higher in cases aged ≥90 years (10.71%, 9.40%) and in northern regions (8.32%, 7.30%). The positive rate of any pathogen in FRS cases was higher in winter (33.82%) than in other seasons ( χ2=212.03, P<0.001). The positive rate of IFV and HRV were higher in winter (22.87%) and autumn (5.98%) and the positive rate of P.aeruginosa (8.11%) and K.pneumoniae (8.30%) were higher in summer. Conclusions:IFV, HRV, HPIV, S. pneumoniae, P. aeruginosa and K. pneumoniae were respectively the top three pathogens in the viral and bacterial pathogen spectrum of FRS cases aged 60 years and above in China from 2009 to 2021, and the positive rate of these main pathogens showed differences between age groups, seasons, and geographic regions. In the future, the dynamic surveillance of various pathogens in the elderly with respiratory tract infections should be continuously strengthened.

Erythropoietic protoporphyria （EPP） is a rare inherited metabolic disease that often involves skin， blood， and nervous systems， and EPP with the main manifestations of severe liver damage and acute abdominal pain is extremely rare. By reviewing the clinical data and genetic testing results of a patient with EPP， this article discusses the clinical features and pathogenic genes of this disease， in order to improve the understanding of the disease among hepatologists and achieve early diagnosis and treatment.

Objective:To summarize the successful diagnosis and treatment experience of two patients with peritoneal dialysis complicated with cholangiolithiasis and cholangitis who received endoscopic retrograde cholangiopancreatography (ERCP).Methods:A retrospective analysis was conducted on the clinical data of two patients with peritoneal dialysis combined with bile duct stones at Peking University Third Hospital who underwent ERCP combined with endoscopic sphincterotomy and were successfully transferred out of the hospital. Observe successful removal of bile duct stones and adverse events related to surgery, such as pancreatitis, summarize experience, and conduct literature review.Result:The overall success rate of stone removal in 2 patients was 100%, and they recovered well after treatment without severe postoperative bleeding. One patient developed postoperative pancreatitis and secondary peritonitis after ECRP, and active anti infection treatment did not affect peritoneal function. Regular peritoneal dialysis was maintained during the perioperative period, and postoperative close follow-up and flexible adjustment of peritoneal dialysis dose and concentration were carried out to ensure a smooth transition of patients to regular and stable peritoneal dialysis.Conclusion:ERCP is a feasible treatment for PD patients combined with choledocholithiasis, and can be well tolerated by them. The treatment of peritoneal dialysis patients requires long-term follow-up and management, and multidisciplinary cooperation is required when acute complications occur.

BACKGROUND:Sepsis is one of the main causes of mortality in intensive care units(ICUs).Early prediction is critical for reducing injury.As approximately 36%of sepsis occur within 24 h after emergency department(ED)admission in Medical Information Mart for Intensive Care(MIMIC-IV),a prediction system for the ED triage stage would be helpful.Previous methods such as the quick Sequential Organ Failure Assessment(qSOFA)are more suitable for screening than for prediction in the ED,and we aimed to find a light-weight,convenient prediction method through machine learning. METHODS:We accessed the MIMIC-IV for sepsis patient data in the EDs.Our dataset comprised demographic information,vital signs,and synthetic features.Extreme Gradient Boosting(XGBoost)was used to predict the risk of developing sepsis within 24 h after ED admission.Additionally,SHapley Additive exPlanations(SHAP)was employed to provide a comprehensive interpretation of the model's results.Ten percent of the patients were randomly selected as the testing set,while the remaining patients were used for training with 10-fold cross-validation. RESULTS:For 10-fold cross-validation on 14,957 samples,we reached an accuracy of 84.1%±0.3%and an area under the receiver operating characteristic(ROC)curve of 0.92±0.02.The model achieved similar performance on the testing set of 1,662 patients.SHAP values showed that the five most important features were acuity,arrival transportation,age,shock index,and respiratory rate. CONCLUSION:Machine learning models such as XGBoost may be used for sepsis prediction using only a small amount of data conveniently collected in the ED triage stage.This may help reduce workload in the ED and warn medical workers against the risk of sepsis in advance.

Objective:To explore the effect of enhanced recovery after surgery (ERAS) protocols in patients undergoing laparoscopic radical cystectomy (LRC) and intracorporeal urinary diversion (ICUD).Methods:A total of 83 patients who received LRC+ ICUD in Beijing Chaoyang Hospital from March 2014 to September 2020, were divided into 2 groups based on different perioperative management, including 29 ERAS cases and 54 conventional recovery after surgery (CRAS) cases. The ERAS group included 26 males and 3 females , with an average age of (62.07 ± 9.26) years. There were 26 patients with ASA class Ⅰ-Ⅱ, 3 patients with ASA class Ⅲ, 4 patients received neoadjuvant chemotherapy, and 7 patients had a history of abdominal surgery in ERAS group. The CRAS group included 44 males and 10 females , with an average age of (61.59 ± 10.16) years. There were 50 patients with ASA class Ⅰ-Ⅱ, 4 patients with ASA class Ⅲ, 9 patients received neoadjuvant chemotherapy, and 10 patients had a history of abdominal surgery in CRAS group. There were no statistically significant differences in the baseline characteristics between the two groups. The patients in both groups underwent LRC+ ICUD procedures. The perioperative results and complications between the two groups were compared.Results:In the ERAS group, there were 20 patients who underwent Bricker ileal conduit surgery and 9 patients who underwent Studer orthotopic ileal neobladder surgery. Pathological staging included 3, 3, 7, 7, 5 and 4 cases in stage T a, T is, T 1, T 2, T 3 and T 4a, respectively. There were 23, 2, 3 and 1 patient with pathological stage N 0, N 1, N 2 and N 3, respectively. Pathological diagnosis included 3 cases of low-grade urothelial carcinoma, 24 cases of high-grade urothelial carcinoma, and 2 cases of other histological subtypes. In the CRAS group, there were 31 patients who underwent Bricker ileal conduit surgery and 23 patients who underwent Studer orthotopic ileal neobladder surgery. Pathological staging included 5, 3, 12, 9, 15 and 10 patients in stage T a, T is, T 1, T 2, T 3 and T 4a, respectively. There were 35, 6, 7 and 6 patients with pathological stage N 0, N 1, N 2, and N 3, respectively. Pathological diagnoses included 6 cases of low-grade urothelial carcinoma, 45 cases of high-grade urothelial carcinoma, and 3 cases of other histological subtypes. There were no statistically significant differences ( P>0.05) in surgical methods, pathological staging, or pathological types between the ERAS and CRAS groups. ERAS group presented less albumin loss [(25.73±8.63)% vs. (32.63±9.05)%, P=0.001], shorter hospital stay [9(7, 13)d vs. 12(9, 16)d, P=0.006], less 30-day overall complications [55.2% (16/29) vs. 83.3% (45/54), P=0.009]. In multivariable analysis, maximum albumin loss≥20% was independently associated with 30-day minor complications ( P=0.049), and maximum albumin loss ≥25% was independently associated with hospital of stay≥10 days ( P=0.038), respectively. Conclusions:For patients who received LRC+ ICUD, ERAS was associated with reduced perioperative albumin loss, shorter length of stay, less 30-day complications, accelerated recovery time, improved clinical outcome and less albumin injection.

With the rapid aging of the global population posing a serious problem, frailty, a non-specific state that reflects physiological senescence rather than aging in time, has become more widely addressed by researchers in various medical fields. A high prevalence of frailty is found among kidney transplant (KT) candidates and recipients. Therefore, their frailty has become a research hotspot in the field of transplantation. However, current studies mainly focus on the cross-sectional survey of the incidence of frailty among KT candidates and recipients and the relationship between frailty and transplantation. Research on the pathogenesis and intervention is scattered, and relevant review literature is scarce. Exploring the pathogenesis of frailty in KT candidates and recipients and determining effective intervention measures may reduce waiting list mortality and improve the long-term quality of life of KT recipients. Therefore, this review explains the pathogenesis and intervention measures for frailty in KT candidates and recipients to provide a reference for the formulation of effective intervention strategies.
Humans ; Frailty/epidemiology* ; Risk Factors ; Quality of Life ; Kidney Failure, Chronic ; Kidney Transplantation/adverse effects* ; Cross-Sectional Studies ; Transplant Recipients