Objective To construct a prediction model for postoperative healthcare-associated infection(HAI)in elderly patients with hip fracture,analyze the economic burden,provide a reference and basis for the development of clinical prevention and control programs.Methods 627 elderly patients who underwent hip fracture surgery in a hospital from January 1,2017 to May 31,2023 were selected as the study subjects.Patients were randomly divided into a modeling group and a validation group at a 7:3 ratio.A logistic regression prediction model was constructed based on data from the modeling group,the discriminant and consistency of the model were evaluated by receiver ope-rating characteristic(ROC)curve and Hosmer-Lemeshow test,and the direct economic burden of postoperative HAI in patients was analyzed with 1∶1 propensity score matching(PSM).Results The incidence of postoperative HAI in elderly patients with hip fracture surgery was 12.1％,with pulmonary infection being the most common(52.6％).Logistic regression analysis showed that male,old age,perioperative disturbance of consciousness,gradeⅣ of American Society of Anesthesiologists(ASA)classification,low albumin level,and intensive care unit(ICU)admission were all independent risk factors for postoperative HAI in patients(all P＜0.05).There was good model discrimination and consistency between the training and validation groups in predicting the risk of postoperative HAI.The direct economic burden of postoperative HAI in patients was 7 927.4 Yuan,of which the burden of wes-tern medicine was the largest(3 139.7 Yuan).HAI prolonged patients hospitalization time by 3.6 days.Conclusion Postoperative HAI increases the economic burden of patients,the nomogram model constructed in this study can effectively predict the risk of postoperative HAI in patients,which can provide a basis for the early identification,as well as the implementation of targeted preventive and diagnostic measures for high-risk patients in the clinic.

Purpose: To identify the relationship between emotional intelligence, occupational well-being, and work engagement among Chinese clinical nurses. Methods: This cross-sectional study is based on survey responses provided by 1744 registered nurses from a Chinese hospital. The survey utilized emotional intelligence, occupational well-being, and work engagement scales. Results: A questionnaire was distributed to nurses, and among them, 1744 filled it in. Work engagement was related to demographic characteristics. The nurses' work engagement score was 28.99±5.46. Work engagement was positively correlated with emotional intelligence (r=.94, p < .01) and occupational well-being (r=.96, p < .01). Conclusions The current work engagement of nurses in China is at a medium level. It is influenced by emotional intelligence and occupational well-being.

Purpose: To identify the relationship between emotional intelligence, occupational well-being, and work engagement among Chinese clinical nurses. Methods: This cross-sectional study is based on survey responses provided by 1744 registered nurses from a Chinese hospital. The survey utilized emotional intelligence, occupational well-being, and work engagement scales. Results: A questionnaire was distributed to nurses, and among them, 1744 filled it in. Work engagement was related to demographic characteristics. The nurses' work engagement score was 28.99±5.46. Work engagement was positively correlated with emotional intelligence (r=.94, p < .01) and occupational well-being (r=.96, p < .01). Conclusions The current work engagement of nurses in China is at a medium level. It is influenced by emotional intelligence and occupational well-being.

Purpose: To identify the relationship between emotional intelligence, occupational well-being, and work engagement among Chinese clinical nurses. Methods: This cross-sectional study is based on survey responses provided by 1744 registered nurses from a Chinese hospital. The survey utilized emotional intelligence, occupational well-being, and work engagement scales. Results: A questionnaire was distributed to nurses, and among them, 1744 filled it in. Work engagement was related to demographic characteristics. The nurses' work engagement score was 28.99±5.46. Work engagement was positively correlated with emotional intelligence (r=.94, p < .01) and occupational well-being (r=.96, p < .01). Conclusions The current work engagement of nurses in China is at a medium level. It is influenced by emotional intelligence and occupational well-being.

OBJECTIVE: To evaluate the effectiveness and safety of Chinese medicine (CM) in the treatment of coronavirus disease 2019 (COVID-19) in China. METHODS: A multi-center retrospective cohort study was carried out, with cumulative CM treatment period of ⩾3 days during hospitalization as exposure. Data came from consecutive inpatients from December 19, 2019 to May 16, 2020 in 4 medical centers in Wuhan, China. After data extraction, verification and cleaning, confounding factors were adjusted by inverse probability of treatment weighting (IPTW), and the Cox proportional hazards regression model was used for statistical analysis. RESULTS: A total of 2,272 COVID-19 patients were included. There were 1,684 patients in the CM group and 588 patients in the control group. Compared with the control group, the hazard ratio (HR) for the deterioration rate in the CM group was 0.52 [95% confidence interval (CI): 0.41 to 0.64, P<0.001]. The results were consistent across patients of varying severity at admission, and the robustness of the results were confirmed by 3 sensitivity analyses. In addition, the HR for all-cause mortality in the CM group was 0.29 (95% CI: 0.19 to 0.44, P<0.001). Regarding of safety, the proportion of patients with abnormal liver function or renal function in the CM group was smaller. CONCLUSION This real-world study indicates that the combination of a full-course CM therapy on the basic conventional treatment, may safely reduce the deterioration rate and all-cause mortality of COVID-19 patients. This result can provide the new evidence to support the current treatment of COVID-19. Additional prospective clinical trial is needed to evaluate the efficacy and safety of specific CM interventions. (Registration No. ChiCTR2200062917).
Humans ; Retrospective Studies ; Male ; Female ; Middle Aged ; COVID-19/epidemiology* ; COVID-19 Drug Treatment ; Aged ; Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal/adverse effects* ; SARS-CoV-2 ; Treatment Outcome ; China/epidemiology* ; Adult

Aim To observe the effect of corticotropin-releasing factor ( CRF) -expressing neurons on presympathetic neurons in hypothalamic paraventricular nucleus ( PVN) of normotensive Wistar Kyoto ( WKY) rats or spontaneously hypertensive rats (SHR) , and to elucidate the underlying neuronal circuit mechanism of central sympathetic hyperexcitability. Methods The expression levels of CRF protein in WKY rats and SHR PVN were determined by Western blot. Meanwhile, the WKY and SHR PVN CRF-expressing neurons and presympathetic neurons were observed by immunofluo-rescent staining. Adult WKY rats and SHR were used in this study. By microinjection of Cre-dependent ade-no-associated viruses ( AAV) that specifically recognized the CRF promoter and AAV of chemogenetics into the PVN, CRF-expressing neurons expressed designer receptors exclusively activated by designer drugs (DREADDs). Human M3 muscarinic DREADD coupled to Gq receptor ( hM3 Dq) was specifically expressed in PVN CRF-expressing neurons in WKY rats, while human M4 muscarinic DREADD coupled to Gi receptor ( hM4Di) was specifically expressed in PVN CRF-expressing neurons in SHR. Clozapine-N-oxide (CNO) , as a designer ligand, would couple to excitatory hM3Dq or inhibitory hM4Di to regulate the excitability of PVN CRF-expressing neurons. Then the PVN presympathetic neurons were retrogradely labeled by microinjection of fluosecent tracer into the intermedio-lateral column (IML) of spinal cord. Lastly, whole cell patch clamp was used to determine the effect of CNO (10 jjumol L~ ) on spontaneous excitatory postsynaptic currents ( sEPSCs) and current-evoked firing of PVN presympathtic neurons of WKY rats and SHR. Results The expression of CRF protein in the PVN of SHR was significantly higher than that of WKY rats, and the activity and number of CRF-expressing neurons in the PVN of SHR were increased. PVN CRF-expressing neurons were expressed with chemogenetic DREADDs and PVN presympathetic neurons were retrogradely labeled with fluorescent tracer in WKY rats and SHR. In SHR expressed with chemogenetic inhibitory hM4Di-mCherry of PVN CRF-expressing neurons, bath application of CNO to the brain slices resulted in a significant decrease in sEPSCs frequency, but no change in their amplitude of labeled PVN presympathetic neurons. In contrast, in WKY rats expressed with excitatory hM3Dq-eGFP of PVN CRF-expressing neurons, CNO had no obvious effect on the sEPSCs frequency and amplitude in PVN presympathetic neurons. Furthermore, bath application of CNO had no significant effect on current-evoked firing of PVN presympathetic neurons of either WKY rats with hM3Dq-eGFP expression in CRF neurons or SHR with hM4Di-mCherry expression in CRF neurons. Conclusions The activity and number of PVN CRF-expressing neurons are increased in SHR, and CRF-expressing neurons enhance the excitability of presympathetic neurons, which acts as a regulatory neuronal microcircuit between CRF neurons and presympathetic neurons in the PVN.

This study aimed to compare the efficacy of Qi-benefiting and blood-activating Chinese patent medicines in the treatment of ischemic stroke with network Meta-analysis. CNKI, Wanfang, VIP, SinoMed, PubMed, EMbase, and Cochrane Library were searched from database inception to October 2022 for randomized controlled trial(RCT) on 11 Qi-benefiting and blood-activating Chinese patent medicines in the treatment of ischemic stroke. The risk of bias plot was made by RevMan 5.3, and network Meta-analysis and efficacy ranking were performed by Stata 17. Ninety-two RCTs were included, involving 10 608 patients. According to the network Meta-analysis, in terms of the clinical total effective rate, surface under the cumulative ranking curve(SUCRA) as followed: Qilong Capsules+conventional western medicine>Zhishe Tongluo Capsules+conventional western medicine>Longshengzhi Capsules+conventional western medicine>Naoxintong Capsules+conventional western medicine>Tongsaimai Tablets+conventional western medicine>Naoan Capsules+conventional western medicine>Naoluotong Capsules+conventional western medicine>Xiaoshuan Changrong Capsules+conventional western medicine>Dengzhan Shengmai Capsules+conventional western medicine=Tongxinluo Capsules+conventional western medicine>Naomaitai Capsules+conventional western medicine. In terms of the improvement in National Institute of Health stroke scale(NIHSS) score, SUCRA as followed: Longshengzhi Capsules+conventional western medicine>Naomaitai Capsules+conventional western medicine>Naoxintong Capsules+conventional western medicine>Dengzhan Shengmai Capsules+conventional western medicine>Xiaoshuan Changrong Capsules+conventional western medicine>Naoluotong Capsules+conventional western medi-cine>Tongxinluo Capsules+conventional western medicine>Naoan Capsules+conventional western medicine>Qilong Capsules+conventional western medicine. In terms of safety, the overall adverse reactions/events of Qi-benefiting and blood-activating Chinese patent medicines + conventional western medicine were less than those of the control group. Since Qilong Capsules+conventional western medicine and Zhishe Tongluo Capsules+conventional western medicine were preferred to improve the clinical total effective rate. In the aspect of improving NIHSS score, Longshengzhi Capsules+conventional western medicine and Naomaitai Capsules+conventional western medicine were first options. Due to the lack of direct comparisons between drugs, the overall quality of RCT was not high, so more studies are needed to verify the strength of the evidence.
Humans ; Capsules ; Ischemic Stroke ; Medicine ; Network Meta-Analysis ; Qi

In observational studies, herbal prescriptions are usually studied in the form of "similar prescriptions". At present, the classification of prescriptions is mainly based on clinical experience judgment, but there are some problems in manual judgment, such as lack of unified criteria, labor consumption, and difficulty in verification. In the construction of a database of integrated traditional Chinese and western medicine for the treatment of coronavirus disease 2019(COVID-19), our research group tried to classify real-world herbal prescriptions using a similarity matching algorithm. The main steps include 78 target prescriptions are determined in advance; four levels of importance labeling shall be carried out for the drugs of each target prescription; the combination, format conversion, and standardization of drug names of the prescriptions to be identified in the herbal medicine database; calculate the similarity between the prescriptions to be identified and each target prescription one by one; prescription discrimination is performed based on the preset criteria; remove the name of the prescriptions with "large prescriptions cover the small". Through the similarity matching algorithm, 87.49% of the real prescriptions in the herbal medicine database of this study can be identified, which preliminarily proves that this method can complete the classification of herbal prescriptions. However, this method does not consider the influence of herbal dosage on the results, and there is no recognized standard for the weight of drug importance and criteria, so there are some limitations, which need to be further explored and improved in future research.
Humans ; COVID-19 ; Algorithms ; Databases, Factual ; Prescriptions ; Plant Extracts

Arthropod-borne diseases, such as malaria and dengue fever, have frequently beset five countries(Cambodia, Vietnam, Laos, Myanmar, and Thailand) in the tropical rainy Lancang-Mekong region, which pose a huge threat to social production and daily life. As a resort to such diseases, chemical drugs risk the resistance in plasmodium, non-availability for dengue virus, and pollution to the environment. Traditional medicinal plants have the multi-component, multi-target, and multi-pathway characteristics, which are of great potential in drug development. Exploring potential medicinals for arthropod-borne diseases from traditional medicinal plants has become a hot spot. This study summarized the epidemiological background of arthropod-borne diseases in the Lancang-Mekong region and screened effective herbs from the 350 medicinal plants recorded in CHINA-ASEAN Traditional Medicine. Based on CNKI, VIP, and PubMed, the plants for malaria and dengue fever and those for killing and repelling mosquitoes were respectively sorted out. Their pharmacological effects and mechanisms were reviewed and the material basis was analyzed. The result is expected to serve as a reference for efficient utilization of medicinal resources, development of effective and safe drugs for malaria and dengue fever, and the further cooperation between China and the other five countries in the Lancang-Mekong region.
Animals ; Culicidae ; Malaria ; Plants, Medicinal ; Plasmodium ; Thailand