OBJECTIVE To conduct a rapid and comprehensive evaluation of commonly used oral dihydropyridine calcium channel blockers （DHP CCBs） in Guangxi， and provide scientific basis for clinical medication and drug selection in medical institutions. METHODS Based on the actual drug use data of public medical institutions at the second level and above in Guangxi Zhuang Autonomous Region， and based on the national centralized collection catalog， commonly used oral DHP CCBs were selected. The Professional Committee of Evidence-based Pharmacy of the Guangxi Pharmaceutical Association organized relevant experts from multiple medical institutions in the region to conduct a quantitative scoring of the selected oral DHP CCBs from five key dimensions of pharmaceutical characteristics， effectiveness， safety， economy， and other attributes， by referring to the Quick Guideline for Drug Evaluation and Selection in Chinese Medical Institutions （the Second Edition）， combined with the latest evidence-based medical research results， and widely soliciting suggestions from clinical and pharmaceutical experts. Finally， the Guangxi Expert Consensus on Rapid Comprehensive Evaluation of Oral Dihydropyridine Calcium Channel Blockers in the Treatment of Cardiovascular Disease was formulated. RESULTS A total of 30 commonly used oral DHP CCBs were selected. Among them， Amlodipine besylate tablets （Huizhi） demonstrated superior comprehensive performance （81.79 points）， excelling particularly in pharmaceutical properties， effectiveness and other attributes. The compound scores of Amlodipine besylate tablets （Chongqing Yaoyou） and Amlodipine besylate tablets （Suzhou Dongrui） ranked second and third respectively， with scores of 81.66 and 81.60 points. CONCLUSIONS This consensus can provide guidance and decision-making support for the rational clinical application of oral DHP CCBs in Guangxi Region and the selection of drug directories in medical institutions.

OBJECTIVE To investigate the implementation effects of the national centralized drug volume-based procurement policy （abbreviated as “national centralized procurement policy”） in Guangxi Zhuang Autonomous Region prefecture， and to provide a reference for the future centralized drug procurement work of the medical institution. METHODS Drug procurement data before and after policy implementation were included in the study. The six secondary indicators （such as availability， affordability， and drug safety） and eighteen third-level indicators （such as completion rate of agreed purchase volume， affordability level， drug revenue proportion） were introduced， guided by the policy objectives and issues of concern to policy beneficiaries. Descriptive statistics was adopted to analyze the data before and after policy implementation （in 2019 and 2020） in terms of differences and change trends. RESULTS In terms of accessibility， the participation rate of medical institutions in Guangxi Zhuang Autonomous Region was 92.55%， the proportion of diseases involved and median completed procurement rate were 40.16%， and 287.82% respectively， and the total centralized delivery rate was 97.20%. In terms of affordability， the total reduction amplitude in drug price was 74.80% from 2019 to 2022； the charge for medicine per capita in hospitalization， the proportion of medicine used for outpatient service and hospitalization， decreased by 17.61%， 10.22%， and 20.10% in order； the burden levels on medical fares for patients were all below 1 in addition to chronic diseases， and anti-tumor drugs. In terms of the impact on medicine， the ratio of adverse drug reaction event cases in 2022 was 66.00%， an increase of 1.29% compared to the previous； since the implementation of the policy， 12 drugs from local pharmaceutical enterprises from Guangxi Zhuang Autonomous Region had passed the consistency evaluation， and the market concentration rate of the top 8 pharmaceutical companies was less than 20.00%. In terms of the impact on healthcare and medical insurance， the public medical institutions achieved generic substitution for originator drugs mostly until 2022； about 9.12% of drugs that were non- centrally purchased in the same category were used； 63.39% of people under investigation did not show a need for a second dressing change； drug expenditure decreased by 2.459 billion yuan. CONCLUSIONS The national centralized procurement policy achieves a significant effect in Guangxi Zhuang Autonomous Region. On the other hand， attention should be paid to these suggestions as follows: expanding the category of drugs used in clinic， conducting clinically comprehensive evaluation of selected drugs， and improving reasonable allocation strategy， etc.

Objective:To explore the value of 18F-fibroblast activation protein inhibitor (FAPI) PET/CT in the assessment of early-stage graft fibrosis (S1-S2) after liver transplantation (LT). Methods:From November 2021 to April 2022, 17 adult liver transplant recipients (12 males and 5 females; age (52.6±7.9) years) in the Affiliated Hospital of Qingdao University were enrolled retrospectively in this study. All 17 patients received laboratory examinations, FibroScan, 18F-FAPI PET/CT and liver biopsy. According to the Scheuer scoring system, hepatic tissue was divided into no fibrosis (S0) and early fibrosis (S1-S2). Independent-sample t test was used to compare SUV max between two groups, and Mann-Whitney U test was used to compare liver stiffness measurement (LSM). ROC curve analysis was used to evaluate the diagnostic efficacy of LSM and SUV max in the early fibrosis of liver grafts. Delong test was used to compare the difference of AUCs. Results:Among 17 adult LT recipients, 11 were in stage S0, 5 were in stage S1, and 1 was in stage S2. There were significant differences in LSM and SUV max between no fibrosis group and early fibrosis group (LSM: 5.4(4.7, 6.6) vs 12.9(5.6, 19.9) kPa, z=-2.01, P=0.044; SUV max: 1.7±0.8 vs 3.9±1.6, t=-3.14, P=0.019). The threshold value of LSM in predicting early-stage graft fibrosis was 8.2 kPa and the AUC was 0.80 (95% CI: 0.54-0.95), which was 2.0 and 0.92 (95% CI: 0.78-1.00) for SUV max respectively. There was no significant difference in AUC between the two tools ( z=0.80, P=0.421). Conclusion:18F-FAPI PET/CT can precisely evaluate the early fibrosis of allografts, with the similar diagnostic efficacy with FibroScan (LSM), which is expected to be a new non-invasive diagnostic tool for predicting the early-stage of graft liver fibrosis.

Objective:To investigate the correlation between paroxysmal slow-wave events (PSWEs) and cerebral small vessel disease (CSVD) and CSVD-related cognitive impairment.Methods:Patients with CSVD visited Weihai Municipal Hospital from March 2021 to April 2022 were included, and sex- and age-matched healthy controls were recruited for cross-sectional analysis. The patients with CSVD were further divided into cognitive impairment group and non-cognitive impairment group. The self-developed Python script was used to detect the PSWE parameters in electroencephalogram records. Montreal Cognitive Assessment (MoCA) and Mini-Mental State Examination (MMSE) were used to evaluate cognitive function. Multivariate logistic regression analysis was used to determine whether PWSE parameters were the independent related factors of CSVD and CSVD-related cognitive impairment. Multiple linear regression analysis was used to determine the correlation between the PSWE parameters and overall cognitive function (MoCA total score) in patients with CSVD. Results:A total of 76 patients with CSVD (including 41 patients with cognitive impairment and 35 patients without cognitive impairment) and 45 healthy controls were included. Compared with the healthy control group, PWSEs in the F3 (left frontal area) and O1 (left occipital area) regions of the CSVD group occurred more frequently and lasted longer (all P<0.05). Multivariate logistic regression analysis showed that the frequency (odds ratio [ OR] 1.080, 95% confidence interval [ CI] 1.023-1.140; P=0.005) and duration ( OR 1.006, 95% CI 1.001-1.011; P=0.023) of PWSEs in the left frontal area, as well as the frequency ( OR 1.052, 95% CI 1.010-1.095; P=0.014) and duration ( OR 1.003, 95% CI 1.000-1.006; P=0.028) of PWSEs in the left occipital region were the independent related factors for CSVD. The frequency ( OR 1.106, 95% CI 1.033-1.183; P=0.004) and duration ( OR1.010, 95% CI 1.003-1.017; P=0.004) of PWSEs in the left frontal area were the independent risk factors for cognitive impairment in patients with CSVD. Multiple linear regression analysis showed that the frequency ( β= –0.242, P=0.045) and duration ( β= –0.235, P=0.046) of PWSEs in the left frontal region were negatively correlated with the overall cognitive function score in patients with CSVD. Conclusions:The frequency and duration of PSWEs in some brain regions of patients with CSVD increase, and there is an independent correlation between PSWEs and cognitive impairment, suggesting that the damage of blood-brain barrier may participate in the pathogenesis of cognitive impairment in patients with CSVD.

Presynaptic dopaminergic PET imaging is a useful method for the diagnosis of parkinsonism. Based on the expert consensus on operation and clinical application of dopamine transporter brain PET imaging technology published in 2020, this paper further recommends the relevant elements of result interpretation of presynaptic dopaminergic PET imaging.

Post-stroke cognitive impairment (PSCI) refers to a clinical syndrome that occurs after a stroke and meets the diagnostic criteria for cognitive impairment, lasting for more than 6 months, and seriously affecting the daily life of patients. The complement system has been confirmed to be associated with PSCI. This article reviews the correlation between complement system and PSCI, as well as the possibility of complement system as an intervention target for PSCI.

Objective:To investigate the value of 18F-FDG PET/CT imaging signs and metabolic parameters in predicting tumor spread through air spaces (STAS) of stage Ⅰ lung adenocarcinoma. Methods:From January 2019 to December 2021, clinical, imaging and metabolic parameters of 381 patients (126 males, 255 females, age (61.2±9.2) years) with stage Ⅰ lung adenocarcinoma were retrospectively analyzed in the Affiliated Hospital of Qingdao University. According to the postoperative pathological results, patients were divided into STAS positive group and STAS negative group. According to the operation time, patients were divided into training set ( n=254) and verification set ( n=127). χ2 test or Mann-Whitney U test was used to compare the differences of different parameters between patients with STAS positive and negative, and binary logistic regression analysis was used to select the predictors of STAS status. The prediction model was established, and ROC curve was used to evaluate the predictive efficacy. Results:There were 49(19.3%, 49/254) patients with STAS positive and 205(80.7%, 205/254) patients with STAS negative in the training set, while those were 35(27.6%, 35/127) and 92(72.4%, 92/127) in the verification set. In the training set, the differences of age ( z=-2.30, P=0.021), type of lesions ( χ2=6.81, P=0.009), spiculation ( χ2=12.64, P<0.001), bronchus truncation ( χ2=6.98, P=0.008), ground glass ribbon sign ( χ2=26.93, P<0.001) and SUV max ( z=-4.62, P<0.001) between the two groups were statistically significant. Multivariate logistic regression analysis showed that age (odds ratio ( OR)=1.048, 95% CI: 1.004-1.094, P=0.032), ground glass ribbon sign ( OR=3.857, 95% CI: 1.693-8.788, P=0.001) and SUV max ( OR=1.133, 95% CI: 1.001-1.282, P=0.049) were independent predictors of STAS status in stage Ⅰ lung adenocarcinoma patients. The logistic regression model was P=1/(1+ e - x), x=-5.292+ 0.480×age (year)+ 1.493×ground glass ribbon sign+ 0.170×SUV max. The AUCs of the model in the training set and verification set were 0.770 and 0.801, with the sensitivity of 81.6%(40/49) and 82.9%(29/35), and the specificity of 69.8%(143/205) and 65.2%(60/92), respectively. Conclusion:Age, ground glass ribbon sign and SUV max have good predictive effects on the occurrence of STAS in stage Ⅰ lung adenocarcinoma.

Objective:To investigate the effect of the possibility of sleep-disordered breathing (SDB) as assessed by the four-variable score on the platelet function and the risk of stroke recurrence in patients with acute ischemic stroke.Methods:Patients with acute ischemic stroke admitted to the Department of Neurology, Weihai Municipal Hospital from January 2020 to January 2021 were enrolled prospectively. Main inclusion criteria: admission within 24 h of onset; National Institutes of Health Stroke Scale score ≤3; Receiving aspirin + clopidogrel dual antiplatelet therapy. All patients were divided into a high possibility group and a low possibility group of SDB according to the four-variable score. 7±2 d after dual antiplatelet therapy, PL-12 multi-parameter platelet function analyzer was used to detect the maximum aggregation rate (MAR). The patients were followed up for 6 months after discharge and the recurrence of ischemic stroke was observed. The mediating effect model was established with the high possibility of SDB as the independent variable, MAR as the intermediary variable and stroke recurrence as the dependent variable. Firstly, MAR as the dependent variable and high probability of SDB as the independent variable were analyzed by linear regression; then, a binary logistic regression analysis was performed with ischemic stroke recurrence as the dependent variable and the high probability of SDB and MAR as independent variables. Results:A total of 213 patients were enrolled in the study. The average age of the patients was 62.70 ± 10.04 years old. There were 146 male (68.5%) and 121 patients (56.8%) were in the high possibility group (56.8%). During the follow-up period, 24 patients (11.3%) had stroke recurrence. Univariate analysis showed that arachidonic acid (AA) induced MAR (MAR-AA) and adenosine diphosphate (ADP) induced the MAR (MAR-ADP) in the high possibility group of SDB were significantly higher than those in the low possibility group (all P<0.05); MAR-AA and MAR-ADP in the recurrent group were significantly higher than those in the non-recurrent group (all P<0.05), and the proportion of high possibility of SDB in the recurrent group was significantly higher ( P=0.008). Binary logistic regression analysis showed that homocysteine (odds ratio 1.132, 95% confidence interval 1.048-1.223; P=0.002) and having high possibility of SDB (odds ratio 6.351, 95% confidence interval 1.134-35.566; P=0.035) were the independent risk factors for stroke recurrence in patients treated with dual antiplatelet therapy. Intermediary effect analysis showed that MAR had a significant intermediary effect on the risk of stroke recurrence in patients with high probability of SDB. Conclusion:The MAR and stroke recurrence rates in the high possibility group of SDB were significantly higher than those in the low possibility group, and its stroke risk was probably mediated by platelet hyperreactivity.

Objective:To explore the classification performance of combined model constructed from CT signs combined with radiomics for discriminating COVID-19 pneumonia and other viral pneumonia.Methods:The clinical and CT imaging data of 181 patients with viral pneumonia confirmed by reverse transcription-polymerase chain reaction in 15 hospitals of Yunnan Province from March 2015 to March 2020 were analyzed retrospectively. The 181 patients were divided into COVID-19 group (89 cases) and non-COVID-19 group (92 cases), which were further divided into training cohort (126 cases) and test cohort (55 cases) at a ratio of 7∶3 using random stratified sampling. The CT signs of pneumonia were determined and the radiomics features were extracted from the initial unenhanced chest CT images to build independent and combined models for predicting COVID-19 pneumonia. The diagnostic performance of the models were evaluated using receiver operating characteristic (ROC) analysis, continuous net reclassification index (NRI) calibration curve and decision curve analysis.Results:The combined models consisted of 3 significant CT signs and 14 selected radiomics features. For the radiomics model alone, the area under the ROC curve (AUC) were 0.904 (sensitivity was 85.5%, specificity was 84.4%, accuracy was 84.9%) in the training cohort and 0.866 (sensitivity was 77.8%, specificity was 78.6%, accuracy 78.2%) in the test cohort. After combining CT signs and radiomics features, AUC of the combined model for the training cohort was 0.956 (sensitivity was 91.9%, specificity was 85.9%, accuracy was 88.9%), while that for the test cohort was 0.943 (sensitivity was 88.9%, specificity was 85.7%, accuracy was 87.3%). The AUC values of the combined model and the radiomics model in the differentiation of COVID-19 group and the non-COVID-19 group were significantly different in the training cohort ( Z=-2.43, P=0.015), but difference had no statistical significance in the test cohort ( Z=-1.73, P=0.083), and further analysis using the NRI showed that the combined model in both the training cohort and the test cohort had a positive improvement ability compared with radiomics model alone (training cohort: continuous NRI 1.077, 95 %CI 0.783-1.370; test cohort: continuous NRI 1.421, 95 %CI 1.051-1.790). The calibration curve showed that the prediction probability of COVID-19 predicted by the combined model was in good agreement with the observed value in the training and test cohorts; the decision curve showed that a net benefit greater than 0.6 could be obtained when the threshold probability of the combined model was 0-0.75. Conclusion:The combination of CT signs and radiomics might be a potential method for distinguishing COVID-19 and other viral pneumonia with good performance.

Objective:To investigate the correlation between heart rate variability (HRV) and early neurological deterioration (END) and poor outcomes in patients with branch atheromatous disease (BAD).Methods:Patients with BAD admitted to the Department of Neurology, Weihai Municipal Hospital from September 2020 to September 2022 were enrolled prospectively. END was defined as an increase of ≥2 points in the total score of the National Institutes of Health Stroke scale (NIHSS) or an increase of ≥1 in motor item score within 72 h of admission compared with the baseline. Poor outcome was defined as the score of the modified Rankin Scale >2 at 6 months after the onset. Multivariate logistic regression analysis was used to determine whether HRV parameters were the independent influencing factors of END and poor outcomes in patients with BAD. Results:A total of 117 patients with BAD were enrolled, including 76 males (65.0%), aged 64.27±6.95 years. Thirty-eight patients (32.4%) had END, and 21 (17.9%) had poor outcomes. Percentage of the number of pairs of adjacent R-R intervals differentiating by more than 50 ms (pNN50), number of adjacent R-R intervals differentiating by more than 50 ms (NN50), power in low frequency range (LF) and power in high frequency range (HF) in the END group were significantly lower than those in the non-END group, and the LF/HF ratio was significantly higher than the non-END group (all P<0.05). The standard deviation of the R-R interval (SDNN), standard deviation of the average of R-R intervals in all 5-min segments (SDANN), and HF in the poor outcome group were significantly lower than those in the good outcome group. Multivariate logistic regression analysis showed that HF (odds ratio [ OR] 0.994, 95% confidence interval [ CI] 0.991-0.998; P<0.001) was an independent protective factor of END in patients with BAD, and LF/HF ratio ( OR 1.455, 95% CI 1.056-2.005; P=0.022) was an independent risk factor for END in patients with BAD; SDANN ( OR 0.997, 95% CI 0.993-0.999; P=0.023) was an independent protective factor of good outcomes in patients with BAD. Conclusion:HF and LF/HF ratios are the independent influencing factors of END in patients with BAD, and SDANN is an independent influencing factor of the poor outcomes in patients with BAD, suggesting that autonomic dysfunction is involved in the pathophysiological mechanism of END and poor outcomes in patients with BAD.