ObjectiveTo analyze the composition of respiratory virus pathogen spectrum and epidemiological characteristics among adult influenza-like illness (ILI) cases in Putuo District of Shanghai from 2015 to 2024, to summarize the epidemic patterns of respiratory viruses across different time periods and populations, and to provide scientific evidence for the prevention and control of adult respiratory virus infections in Putuo District of Shanghai. MethodsSurveillance data of 2 273 adult ILI cases from sentinel hospitals under the comprehensive surveillance system for acute respiratory infections in Putuo District of Shanghai from 2015 to 2024 were retrospectively collected. Descriptive epidemiological methods were adopted to analyze the temporal and population distribution characteristics of respiratory viruses, including influenza virus (IFV), respiratory syncytial virus (RSV), adenovirus (ADV), and human metapneumovirus (HMPV). The mixed infection status among different age groups was compared, and the distribution of influenza virus subtypes was described. SPSS 22.0 and WPS Office software were used for statistical analyses. ResultsThe overall detection rate of respiratory viruses in 2 273 adult ILI cases was 43.51%. The detection rate in females (45.48%) was significantly higher than that in males (41.25%), with statistical significance (χ²=4.113, P=0.043). Individuals aged 60 years old and above had the highest detection rate (47.41%) (χ²=8.430, P=0.014). The detection rates in winter (50.41%) and summer (48.42%) were higher than those in other seasons (χ²=47.028, P<0.001). The overall viral detection rate decreased after 2020 (χ²=208.411, P<0.001). Detection rates of various viruses varied by year, with IFV and ADV showing high rates from 2015 to 2019 (all P<0.001), while human coronavirus (HCoV) and rhinovirus/enterovirus (HRV/EV) exhibited higher rates from 2020 to 2022 (all P<0.001). Co-infection with IFV and HCoV was the most common, followed by co-infection with IFV and ADV, together accounting for 50.00% of all mixed infections. During the surveillance period, the detection rate of IFV was significantly higher than that of other respiratory viruses. Influenza B/Victoria lineage predominated in 2021, followed by successive predominance of influenza A(H1N1), A(H3N2), and the co-circulation of the two subtypes from 2022 to 2023. Influenza A(H1N1) re-emerged as the predominant subtype in the first half of 2024. ConclusionFrom 2015 to 2024, respiratory virus infections in adults prevailed in winter and summer, and people aged 60 years old and above were the key high-risk population. The detection rates of respiratory viruses declined after 2020. IFV was the predominant pathogen detected, and different influenza virus subtypes circulated alternately each year.

Objective:To evaluate the effect of preoperative anxiety on the consciousness and autonomic nervous activity during propofol anesthesia.Methods:This study was a secondary analysis of data from the clinical trial in a prospective single-arm study. One hundred and thirty patients, aged 18-65 yr, with a body mass index of 18.5-27.9 kg/m 2, of American Society of Anesthesiologists Physical Status classification I or Ⅱ, scheduled to receive propofol anesthesia, were selected from the Second People′s Hospital of Lianyungang. The six-item of the state anxiety inventory (SAI) of the State-Trait Anxiety Inventory was used to assess the anxiety of patients 1 h before surgery. The patients were divided into 2 groups according to the cut-off value of 12: obvious anxiety symptom (SAI score >12) group (group A, n=49) and no obvious anxiety symptom (SAI score ≤12) group (group B, n=81). After admission to the operating room, the patient was required to hold a 50 ml syringe filled with water. Propofol was given by target-controlled infusion (TCI) with the target plasma concentration set at 5 μg/ml. When the effect-site concentration (Ce) of propofol increased to 3.5 μg/ml (all the patients lost consciousness), the closed-loop TCI was used to maintain BIS value between 45 and 55. The patients were monitored for 20 min after stopping the pump infusion (anesthesia recovery period). The disappearance time of verbal command, disappearance time of eyelash reflex, time of syringe dropping, recovery time of verbal command, recovery time of eyelash reflex, Ce at the recovery of verbal command, Ce at the recovery of eyelash reflex, Ce within the first 5 min of the closed-loop TCI, and consumption of propofol during anesthesia were recorded. The peripheral perfusion index, low frequency power and high frequency power of heart rate variability were recorded, and the ratio of low frequency power to high frequency power was calculated. Pearson correlation analysis was used to assess the correlation between preoperative SAI score and consciousness-related indicators, simulated Ce of propofol and consumption of propofol. Results:Compared with group B, the disappearance time of verbal command, disappearance time of eyelash reflex, and time of syringe dropping were significantly prolonged, the consumption of propofol, simulated Ce at recovery of verbal command and within the first 5 min of closed-loop TCI were increased, the peripheral perfusion index was decreased at each time point before administration and at 14-20 min of anesthesia recovery, and the low-frequency power was decreased during anesthesia maintenance in group A ( P<0.05). The SAI score was positively correlated with the disappearance time of verbal command ( r=0.220, P=0.012), time of syringe dropping ( r=0.206, P=0.029), consumption of propofol ( r=0.330, P<0.001), and the simulated Ce at the recovery of verbal command ( r=0.215, P=0.015) and simulated Ce at recovery of eyelash reflex ( r=0.207, P=0.022). Conclusions:Preoperative anxiety may lead to prolonged loss of consciousness and more marked inhibition of sympathetic nerve activity during propofol anesthesia.

Objective:To evaluate the effect of preoperative anxiety on the consciousness and autonomic nervous activity during propofol anesthesia.Methods:This study was a secondary analysis of data from the clinical trial in a prospective single-arm study. One hundred and thirty patients, aged 18-65 yr, with a body mass index of 18.5-27.9 kg/m 2, of American Society of Anesthesiologists Physical Status classification I or Ⅱ, scheduled to receive propofol anesthesia, were selected from the Second People′s Hospital of Lianyungang. The six-item of the state anxiety inventory (SAI) of the State-Trait Anxiety Inventory was used to assess the anxiety of patients 1 h before surgery. The patients were divided into 2 groups according to the cut-off value of 12: obvious anxiety symptom (SAI score >12) group (group A, n=49) and no obvious anxiety symptom (SAI score ≤12) group (group B, n=81). After admission to the operating room, the patient was required to hold a 50 ml syringe filled with water. Propofol was given by target-controlled infusion (TCI) with the target plasma concentration set at 5 μg/ml. When the effect-site concentration (Ce) of propofol increased to 3.5 μg/ml (all the patients lost consciousness), the closed-loop TCI was used to maintain BIS value between 45 and 55. The patients were monitored for 20 min after stopping the pump infusion (anesthesia recovery period). The disappearance time of verbal command, disappearance time of eyelash reflex, time of syringe dropping, recovery time of verbal command, recovery time of eyelash reflex, Ce at the recovery of verbal command, Ce at the recovery of eyelash reflex, Ce within the first 5 min of the closed-loop TCI, and consumption of propofol during anesthesia were recorded. The peripheral perfusion index, low frequency power and high frequency power of heart rate variability were recorded, and the ratio of low frequency power to high frequency power was calculated. Pearson correlation analysis was used to assess the correlation between preoperative SAI score and consciousness-related indicators, simulated Ce of propofol and consumption of propofol. Results:Compared with group B, the disappearance time of verbal command, disappearance time of eyelash reflex, and time of syringe dropping were significantly prolonged, the consumption of propofol, simulated Ce at recovery of verbal command and within the first 5 min of closed-loop TCI were increased, the peripheral perfusion index was decreased at each time point before administration and at 14-20 min of anesthesia recovery, and the low-frequency power was decreased during anesthesia maintenance in group A ( P<0.05). The SAI score was positively correlated with the disappearance time of verbal command ( r=0.220, P=0.012), time of syringe dropping ( r=0.206, P=0.029), consumption of propofol ( r=0.330, P<0.001), and the simulated Ce at the recovery of verbal command ( r=0.215, P=0.015) and simulated Ce at recovery of eyelash reflex ( r=0.207, P=0.022). Conclusions:Preoperative anxiety may lead to prolonged loss of consciousness and more marked inhibition of sympathetic nerve activity during propofol anesthesia.

Objective:To simulate the spot characteristics of light emitting diode (LED) array light sources used in non-invasive phototherapy at different distances and to provide reference for the formulation of clinical non-invasive phototherapy treatment schemes.Methods:The ray tracing module in Comsol software was used to simulate the spot characteristics of LED light sources with different power and arrays at different distances, and the fitting curve was analyzed. The model was verified by the actual LED spot measurement, and the feasibility of the treatment scheme was verified by the mouse back wound model.Results:Under the irradiation of 2×2 LED light source array, with the increase of the vertical distance from the light source, the area of the effective area and the treatment area gradually increased, the power density value in the area gradually decreased, and the uniformity gradually increased. These changes showed a linear or binomial correlation with the vertical distance. The model was improved based on the actual LED light spot, and the new model consisted of an array of 18 LEDs as the light source, and the treatment area showed better uniformity and power density values. The simulated optical parameters were used to treat mice’s wounds with light, and the results showed that light treatment could promote wound healing.Conclusions:The established medical LED array light source spot characteristics simulation can provide a reference for the development of clinical non-invasive phototherapy protocols, thus helping the clinic select the appropriate LED power and array distribution according to the treatment needs and also providing a basis for the development of medical LED array light sources.

Objective:To explore the genetic causes of cerebellar hypoplasia (CH) diagnosed by prenatal ultrasound.Methods:This retrospective study involved 32 fetuses with CH diagnosed by prenatal ultrasound in Wuxi Maternal and Child Health Hospital from January 2014 to December 2022. Prenatal ultrasound findings and genetic testing results for amniotic fluid were collected and analyzed. The correlation between fetal CH and genetic abnormality was analyzed. A descriptive statistical method was used for data analysis.Results:(1) General data: The 32 mothers were (28.0±4.9) years old, ranging from 18 to 37 years old; the gestational age at amniocentesis was (24.2±4.0) weeks, ranging from 18 +3 weeks to 37 +2 weeks. Apart from one case lost to follow-up, the other 31 cases terminated the pregnancies, including 30 terminated before 28 weeks of gestation and one at 33 weeks of gestation due to unmarried status. (2) Ultrasonic features: Among the 32 cases, 30(93.8%) were complicated by intracranial or extracranial abnormalities including cardiac abnormalities (15 cases), dilated lateral ventricles (ten cases), and abnormalities in limbs (eight cases) and face (nine cases). Two CH cases (6.2%) were isolated. (3) Genetic testing: Among the 32 cases, 13 cases (40.6%) had normal results of amniotic fluid karyotype analysis and single nucleotide polymorphism (SNP) array. Among the 19 cases with abnormal amniotic fluid test results (59.4%), 16 cases have abnormal results in amniotic fluid karyotype analysis and SNP array detection [nine cases were numerical abnormalities, including five cases of trisomy-18, three of trisomy-21, and one of trisomy-13; seven cases were chromosomal structural abnormalities, including four cases of terminal deletion of chromosome 5 (Cri-du-Chat syndrome) and three cases of reciprocal translocation of chromosomes]. There was no abnormality in karyotype analysis of amniotic fluid in three cases. Still, their SNP array test results showed copy number variations (CNV) [one of 6q terminal deletion, one of 6q terminal deletion with 5p15.33 duplication, and one of 6q terminal deletion with 15q26.3 duplication; all variations were of unknown significance]. (4) Of the 19 cases with abnormal SNP array results, 17 were accompanied by abnormal intracranial/extracranial ultrasound findings. Among them, ten cases showed cardiac malformation, seven showed lateral ventricular widening, and seven showed limb abnormality. Conclusions:Numerical abnormalities, CDCS, and 6q terminal deletion are the most common genetic causes of CH diagnosed by prenatal ultrasound. Chromosome microarray analysis should be recommended for fetuses with ultrasound-diagnosed CH to evaluate fetal prognosis accurately.

Objective:To investigate the predictive value of pan-immune-inflammation value (PIV) for in-hospital mortality in patients with acute ischemic stroke (AIS) admitted to intensive care unit (ICU).Methods:The clinical data of the first-ever AIS patients admitted to the ICU in the Medical Information Mart for Intensive Care (MIMIC) -Ⅳ of the United States were retrospectively included and analyzed. According to whether the patients died in the hospital, they were divided into a survival group and a death group, and the differences in baseline data between the two groups were compared. Multivariate logistic regression model was used to analyze independent influencing factors of in-hospital mortality in patients. Receiver operating characteristic curve was used to evaluate the predictive value of PIV on in-hospital mortality. Results:A total of 1 068 first-ever AIS patients admitted to the ICU were included, with a median age of 69 years. There were 543 males (50.84%), and 182 (17.05%) experienced in-hospital mortality. Multivariate logistic regression analysis showed that after adjusting for potential confounding factors, a higher PIV (>1 555.71) was an independent risk factor for in-hospital mortality in patients (odds ratio 1.924, 95% confidence interval 1.093-3.387; P=0.023). The receiver operating characteristic curve analysis showed that the area under the curve for predicting in-hospital mortality by PIV was 0.605 (95% confidence interval 0.556-0.654), with an optimal cutoff value of 1 199.93. The sensitivity and specificity for predicting in-hospital mortality were 48.9% and 70.2%, respectively. Conclusions:A higher PIV is an independent risk factor for in-hospital mortality in AIS patients admitted to ICU, which may help identify AIS patients with a higher risk of in-hospital mortality in the ICU.

OBJECTIVE：To construct the evaluation system for TCM pharmaceutical care quality in public hospitals of Jilin province，and to provide reference for improving the quality of TCM pharmaceutical care in public hospitals. METHODS ：On Nov. 2020，20 relevant personnel and 10 experts in the field of TCM in Jilin province were selected by theoretical sampling method and objective sampling method ，respectively；grounded theory and Delphi method were adopted to sort out and score the evaluation system of TCM pharmaceutical care quality in public hospitals. Analytic hierarchy process （AHP）was used to determine the weight of each index. RESULTS ：In the two rounds of evaluation ，experts’enthusiasm，authority and opinion coordination were relatively high. Finally ，the evaluation system of TCM pharmaceutical care quality in public hospitals of Jilin Province was constructed ， consisting of 5 criterion layer indexes and 27 field layer indexes. The weights of the five criterion layer indexes from high to low are 0.290 for TCM pharmaceutical care management ，0.283 for TCM pharmaceutical care equipment ，0.163 for TCM prescription rationality，0.150 for TCM quality management ，0.144 for TCM pharmaceutical care ability. CONCLUSIONS ：The evaluation system of TCM pharmaceutical care quality in public hospitals of Jilin province established in this study is scientific and applicable ， and provides a basis for improving the quality of TCM pharmaceutical care in public hospitals. Public hospitals can set up priority improvement dimensions according to the results of the quality evaluation system ，and focus the limited human and material resources on priority improvement indexes.

Objective:To explore the predictive value of renal resistive index (RRI) joint with semiquantitative power Doppler ultrasound (PDU) score to acute kidney injury (AKI) in non-septic critically ill patients.Methods:This prospective observational study enrolled non-septic critically ill patients admitted to the Emergency Intensive Care Unit of Cangzhou Central Hospital from January 2018 to August 2019. In addition to general data, RRI and PDU scores were measured with medical ultrasonic instrument within 6 h after admission. Renal function was assessed on the 5th day in accordance with kidney disease: Improving Global Outcomes criteria. The patients who progressed to AKI stage 3 within 5 days after admission were classified into the AKI 3 group, and the rest were classified into the AKI 0-2 group. The difference of each index was compared between the two groups in non-septic critically ill patients and patients with acute heart failure (AHF). Normal distributed continuous variables were compared using independent sample t-tests, whereas Mann-Whitney U tests were used to examine the differences in variables without a normal distribution. Categorical data were compared with the Chi-square test. Receiver operator characteristic curves were plotted to examine the values of RRI, PDU score, RRI-RDU/10 (subtraction of RRI and 1/10 of PDU score), RRI/PDU (the ratio of RRI to PDU score), and RRI+PDU (the prediction probability of the combination of RRI and PDU score for AKI stage 3 obtained by logistic regression analysis) in predicting AKI 3. Delong's test was used to compare the area under the curve (AUC) between predictors. Results:A total of 110 non-septic critically ill patients (51 patients with no AKI, 21 with AKI stage 1, 11 with AKI stage 2, and 27 with AKI stage 3) were recruited. Among them, there were 63 patients with AHF (21 patients with no AKI, 15 with AKI stage 1, 7 with AKI stage 2, and 20 with AKI stage 3). Among the non-septic critically ill patients as well as its subgroup of AHF, compared with the AKI 0-2 group, acute physiology and chronic health evaluation-Ⅱ score, sequential organ failure assessment score, arterial lactate concentration, mechanical ventilation rate, proportion of vasoactive drugs, 28-day mortality, serum creatinine, RRI, RRI-RDU/10, RRI/PDU, RRI+PDU, and rate of continuous renal replacement therapy were higher in the AKI 3 group, and urine output and PDU score were lower ( all P<0.05). As for non-septic critically ill patients, RRI/PDU [AUC=0.915, 95% confidence interval ( CI): 0.846-0.959, P<0.01] and RRI+PDU (AUC=0.914, 95% CI: 0.845-0.959, P<0.01) performed best in predicting AKI 3, and the AUCs were higher than RRI (AUC=0.804, 95% CI: 0.718-0.874, P<0.01) and PDU score (AUC=0.868, 95% CI: 0.791-0.925, P<0.01). The optimal cutoff for RRI/PDU was > 0.355 (sensitivity 92.6%, specificity 81.9%, Youden index 0.745). The predictive value of RRI-RDU/10 for AKI 3 (AUC=0.899, 95% CI: 0.827-0.948, P<0.01) was also better than RRI and PDU scores, but slightly worse than RRI/PDU and RRI+PDU, with statistically difference only between RRI and RRI-RDU/10 ( P<0.05). As for patients with AHF, RRI/PDU (AUC=0.962, 95% CI: 0.880-0.994, P<0.01) and RRI+PDU (AUC=0.962, 95% CI: 0.880-0.994, P<0.01) also performed best in predicting AKI 3, and the AUCs were higher than RRI (AUC=0.845, 95% CI: 0.731-0.924, P<0.01) and PDU score (AUC=0.913, 95% CI: 0.814-0.969, P<0.01) with statistically differences (all P<0.05). The optimal cutoff for RRI/PDU was > 0.360 (sensitivity 95.0%, specificity 90.7%, Youden index 0.857). The predictive value of RRI-RDU/10 for AKI 3 (AUC=0.950, 95% CI: 0.864-0.989, P<0.01) was also better than RRI and PDU score, but slightly worse than RRI/PDU and RRI+PDU, with statistically difference only between RRI and RRI-RDU/10 ( P<0.05). Conclusions:The combination of RRI and PDU score could effectively predict AKI 3 in non-septic critically ill patients, especially in patients with AHF. The ratio of RRI to PDU score is recommended for clinical application because of its excellent predictive value for AKI and its practicability.

OBJECTIVE： To provide reference for improving emergency capacity of the hospital pharmacy department in response to the novel coronavirus pneumonia （COVID-19） epidemic. METHODS ：According to the related regulations and requirements of Law of the People ’s Republic of China on the Prevention and Control of Infectious Diseases ，combined with the situation of COVID- 19 epidemic prevention and control ，and management experience of relevant hospitals ，on the basis of in-depth analysis of drug supply and quality assurance ，drug dispensing management ，provision of clinical pharmaceutical services and other related material support of hospital pharmacy department，integrated emergency management model was constructed for COVID- 19 epidemic prevention and control ，and the precautions and response measures of each link were sorted out. RESULTS ：Integruted emergency management mode for COVID-19 epidemic prevention and control in hospital pharmacy department included but was not limited to human resource management，drug and disinfection products supply management （mainly including key treatment drugs and disinfection product list formulation，control，inventory increase ，etc.）；drug dispensing management （mainly including prescription ，pharmacy window ， planning quantitative reserve ， drug return ， etc.）；clinical pharmaceutical care management （mainly including providing pharmaceutical information support ，online pharmaceutical service ，monitoring drug safety ，etc.）；personnel protection and disinfection （mainly including personnel protection ，environment and window ，equipment and container ，paper prescription disinfection，etc.）；special management of donated drugs ；prevention and control knowledge training ；pharmaceutical education and scientific research management ，etc. CONCLUSIONS ：The integrated emergency management model for epidemic prevention and control is helpful for hospital pharmacy to manage public health emergencies. During the outbreak of COVID- 19，hospital pharmacy department should start integrated emergency management mode for epidemic prevention and control ，strengthen the risk control of each link ，and play a good role in the key functional departments in the special period.