OBJECTIVE To construct a pharmaceutical care framework suitable for elderly individuals in nursing homes， so as to provide standardized content guidance for relevant practice. METHODS The initial items of pharmaceutical care content in n ursing homes were drafted through literature research and semi-structured interviews. Delphi method was used to conduct correspondence consultation among 38 experts from related fields in Xinjiang. The expert positive coefficient， authority coefficient， and Kendall’s W were calculated， and the analytic hierarchy process was employed to determine the weight of each item. After thorough discussion among the research team members， the pharmaceutical care framework suitable for elderly individuals provided by hospital pharmacists collaborating with nursing homes was finalized. RESULTS The questionnaire recovery rates for both rounds of expert correspondence consultation were 100%， with an authority coefficient ＞0.8 and Kendall’s W ranging between 0.153 and 0.185 （ P ＜0.001）. A total of 7 primary items and 31 secondary items were ultimately determined， with the consistency ratio of the item weights all being less than 0.1. Based on the integration of importance and feasibility， among the primary items， “assessment of pharmaceutical care needs” was assigned the highest weight. Among the secondary items， highly practical items such as “survey of pharmaceutical care needs”“guidance on usage and dosage”“methods for correctly reading drug package inserts”， and “self-management of common chronic diseases in the elderly” were assigned relatively high comprehensive weights. CONCLUSIONS The pharmaceutical care framework suitable for elderly individuals provided by hospital pharmacists collaborating with nursing homes， which was constructed based on the Delphi method， demonstrates good scientific validity and reliability， and can serve as a reference for pharmacists to provide pharmaceutical care in nursing homes.

OBJECTIVE To provide standardized whole-process guidance on drug traceability codes for medical institutions in Sichuan province， ensuring medication safety and compliance with medical insurance supervision requirements. METHODS Based on evidence-based principles and expert consensus， Expert Consensus on Whole-process Management of Drug Traceability Codes in Medical Institutions of Sichuan Province （hereinafter referred to as the Consensus） was formulated through systematic literature review， field investigations， establishment of a multidisciplinary expert committee and multiple rounds of questionnare consultation via the modified Delphi method， and finalized through consensus meetings. RESULTS & CONCLUSIONS The Consensus clarifies key operating procedures for code verification， code assignment and code return， whole-process operational standards for drug warehouse acceptance and storage， drug warehouse outbound delivery and pharmacy acceptance check， drug distribution and dispensing in pharmacy and intravenous admixture center， medication administration in nursing units and examination departments， as well as drug return process. Key recommendations are proposed such as improving the core functions of the drug traceability system， unifying the hospital-wide traceability code database， strengthening the management of traceability codes for backup medications， establishing a management organization and institutional framework， and optimizing the architectural design and data governance requirements of the drug traceability system. The release of the Consensus will provide scientific， standardized and implementable practical guidelines for medical institutions of Sichuan province， helping to improve closed-loop management of the drug traceability system， strengthen medication safety and fulfil medical insurance fund supervision.

Objective: The CT/MRI Liver Imaging Reporting and Data System (LI-RADS) demonstrates high specificity with relatively limited sensitivity for diagnosing hepatocellular carcinoma (HCC) in high-risk patients. This study aimed to explore the possibility of improving sensitivity by combining CT/MRI LI-RADS v2018 with second-line contrast-enhanced ultrasound (CEUS) LI-RADS v2017 using sulfur hexafluoride (SHF) or perfluorobutane (PFB). Materials and Methods: This retrospective analysis of prospectively collected multicenter data included high-risk patients with treatment-naive hepatic observations. The reference standard was pathological confirmation or a composite reference standard (only for benign lesions). Each participant underwent concurrent CT/MRI, SHF-enhanced US, and PFB-enhanced US examinations. The diagnostic performances for HCC of CT/MRI LI-RADS alone and three combination strategies (combining CT/ MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or a modified algorithm incorporating the Kupffer-phase findings for PFB [modified PFB]) were evaluated. For the three combination strategies, apart from the CT/MRI LR-5 criteria, HCC was diagnosed if CT/MRI LR-3 or LR-4 observations met the LR-5 criteria using LI-RADS SHF, LI-RADS PFB, or modified PFB. Results: In total, 281 participants (237 males; mean age, 55 ± 11 years) with 306 observations (227 HCCs, 40 non-HCC malignancies, and 39 benign lesions) were included. Using LI-RADS SHF, LI-RADS PFB, and modified PFB, 20, 23, and 31 CT/MRI LR-3/4 observations, respectively, were reclassified as LR-5, and all were pathologically confirmed as HCCs. Compared to CT/MRI LI-RADS alone (74%, 95% confidence interval [CI]: 68%–79%), the three combination strategies combining CT/MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or modified PFB increased sensitivity (83% [95% CI: 77%–87%], 84% [95% CI: 79%–89%], 88% [95% CI: 83%–92%], respectively; all P < 0.001), while maintaining the specificity at 92% (95% CI: 84%–97%). Conclusion The combination of CT/MRI LI-RADS with second-line CEUS using SHF or PFB improved the sensitivity of HCC diagnosis without compromising specificity.

Objective: The CT/MRI Liver Imaging Reporting and Data System (LI-RADS) demonstrates high specificity with relatively limited sensitivity for diagnosing hepatocellular carcinoma (HCC) in high-risk patients. This study aimed to explore the possibility of improving sensitivity by combining CT/MRI LI-RADS v2018 with second-line contrast-enhanced ultrasound (CEUS) LI-RADS v2017 using sulfur hexafluoride (SHF) or perfluorobutane (PFB). Materials and Methods: This retrospective analysis of prospectively collected multicenter data included high-risk patients with treatment-naive hepatic observations. The reference standard was pathological confirmation or a composite reference standard (only for benign lesions). Each participant underwent concurrent CT/MRI, SHF-enhanced US, and PFB-enhanced US examinations. The diagnostic performances for HCC of CT/MRI LI-RADS alone and three combination strategies (combining CT/ MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or a modified algorithm incorporating the Kupffer-phase findings for PFB [modified PFB]) were evaluated. For the three combination strategies, apart from the CT/MRI LR-5 criteria, HCC was diagnosed if CT/MRI LR-3 or LR-4 observations met the LR-5 criteria using LI-RADS SHF, LI-RADS PFB, or modified PFB. Results: In total, 281 participants (237 males; mean age, 55 ± 11 years) with 306 observations (227 HCCs, 40 non-HCC malignancies, and 39 benign lesions) were included. Using LI-RADS SHF, LI-RADS PFB, and modified PFB, 20, 23, and 31 CT/MRI LR-3/4 observations, respectively, were reclassified as LR-5, and all were pathologically confirmed as HCCs. Compared to CT/MRI LI-RADS alone (74%, 95% confidence interval [CI]: 68%–79%), the three combination strategies combining CT/MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or modified PFB increased sensitivity (83% [95% CI: 77%–87%], 84% [95% CI: 79%–89%], 88% [95% CI: 83%–92%], respectively; all P < 0.001), while maintaining the specificity at 92% (95% CI: 84%–97%). Conclusion The combination of CT/MRI LI-RADS with second-line CEUS using SHF or PFB improved the sensitivity of HCC diagnosis without compromising specificity.

Objective: The CT/MRI Liver Imaging Reporting and Data System (LI-RADS) demonstrates high specificity with relatively limited sensitivity for diagnosing hepatocellular carcinoma (HCC) in high-risk patients. This study aimed to explore the possibility of improving sensitivity by combining CT/MRI LI-RADS v2018 with second-line contrast-enhanced ultrasound (CEUS) LI-RADS v2017 using sulfur hexafluoride (SHF) or perfluorobutane (PFB). Materials and Methods: This retrospective analysis of prospectively collected multicenter data included high-risk patients with treatment-naive hepatic observations. The reference standard was pathological confirmation or a composite reference standard (only for benign lesions). Each participant underwent concurrent CT/MRI, SHF-enhanced US, and PFB-enhanced US examinations. The diagnostic performances for HCC of CT/MRI LI-RADS alone and three combination strategies (combining CT/ MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or a modified algorithm incorporating the Kupffer-phase findings for PFB [modified PFB]) were evaluated. For the three combination strategies, apart from the CT/MRI LR-5 criteria, HCC was diagnosed if CT/MRI LR-3 or LR-4 observations met the LR-5 criteria using LI-RADS SHF, LI-RADS PFB, or modified PFB. Results: In total, 281 participants (237 males; mean age, 55 ± 11 years) with 306 observations (227 HCCs, 40 non-HCC malignancies, and 39 benign lesions) were included. Using LI-RADS SHF, LI-RADS PFB, and modified PFB, 20, 23, and 31 CT/MRI LR-3/4 observations, respectively, were reclassified as LR-5, and all were pathologically confirmed as HCCs. Compared to CT/MRI LI-RADS alone (74%, 95% confidence interval [CI]: 68%–79%), the three combination strategies combining CT/MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or modified PFB increased sensitivity (83% [95% CI: 77%–87%], 84% [95% CI: 79%–89%], 88% [95% CI: 83%–92%], respectively; all P < 0.001), while maintaining the specificity at 92% (95% CI: 84%–97%). Conclusion The combination of CT/MRI LI-RADS with second-line CEUS using SHF or PFB improved the sensitivity of HCC diagnosis without compromising specificity.

Objective: The CT/MRI Liver Imaging Reporting and Data System (LI-RADS) demonstrates high specificity with relatively limited sensitivity for diagnosing hepatocellular carcinoma (HCC) in high-risk patients. This study aimed to explore the possibility of improving sensitivity by combining CT/MRI LI-RADS v2018 with second-line contrast-enhanced ultrasound (CEUS) LI-RADS v2017 using sulfur hexafluoride (SHF) or perfluorobutane (PFB). Materials and Methods: This retrospective analysis of prospectively collected multicenter data included high-risk patients with treatment-naive hepatic observations. The reference standard was pathological confirmation or a composite reference standard (only for benign lesions). Each participant underwent concurrent CT/MRI, SHF-enhanced US, and PFB-enhanced US examinations. The diagnostic performances for HCC of CT/MRI LI-RADS alone and three combination strategies (combining CT/ MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or a modified algorithm incorporating the Kupffer-phase findings for PFB [modified PFB]) were evaluated. For the three combination strategies, apart from the CT/MRI LR-5 criteria, HCC was diagnosed if CT/MRI LR-3 or LR-4 observations met the LR-5 criteria using LI-RADS SHF, LI-RADS PFB, or modified PFB. Results: In total, 281 participants (237 males; mean age, 55 ± 11 years) with 306 observations (227 HCCs, 40 non-HCC malignancies, and 39 benign lesions) were included. Using LI-RADS SHF, LI-RADS PFB, and modified PFB, 20, 23, and 31 CT/MRI LR-3/4 observations, respectively, were reclassified as LR-5, and all were pathologically confirmed as HCCs. Compared to CT/MRI LI-RADS alone (74%, 95% confidence interval [CI]: 68%–79%), the three combination strategies combining CT/MRI LI-RADS with either LI-RADS SHF, LI-RADS PFB, or modified PFB increased sensitivity (83% [95% CI: 77%–87%], 84% [95% CI: 79%–89%], 88% [95% CI: 83%–92%], respectively; all P < 0.001), while maintaining the specificity at 92% (95% CI: 84%–97%). Conclusion The combination of CT/MRI LI-RADS with second-line CEUS using SHF or PFB improved the sensitivity of HCC diagnosis without compromising specificity.

Objective:To evaluate the efficacy and safety of anlotinib neoadjuvant therapy for newly diagnosed locally advanced thyroid cancer (LATC).Methods:Twenty-four newly diagnosed LATC patients (10 males and 14 females, age (47.1±3.3) years) admitted to Affiliated Hospital of Integrated Traditional Chinese and Western Medicine of Nanjing University of Chinese Medicine were prospectively included from January 2023 to April 2024. Patients were given anlotinib neoadjuvant therapy (12mg/d, 2 weeks of medication, 1 week of discontinuation), and the efficacy of the treatment was evaluated by CT and multi-disciplinary treatment at the end of each treatment cycle. Patients assessed as suitable for surgery would be scheduled for surgery, while those who were not suitable for surgery would continue to receive neoadjuvant therapy and periodic evaluations. The primary endpoints were objective response rate (ORR) and disease control rate (DCR), and the R0/1 resection rate and adverse events (AE) after neoadjuvant therapy were observed. Paired- t test was used to analyze the differences between groups, and the Clopper-Person accurate method was used to calculate the bilateral 95% CI of ORR and other indicators. Results:Twenty-four patients received 2(2, 3) cycles of neoadjuvant therapy with anlotinib, of which 23 underwent surgery after anlotinib therapy. After neoadjuvant therapy, the mean maximum diameter of target lesions decreased by 23.5%(95% CI: 2.8%-44.3%) compared with baseline ( t=9.22, P<0.001). The ORR and DCR were 37.5%(95% CI: 18.8%-59.4%) and 100%(95% CI: 85.8%-100%), respectively. About 91.7%(95% CI: 73.0%-99.0%) of patients eventually underwent R0/1 resection. Hand and foot skin reactions, hypertension, oral mucositis, and leukopenia were common AE; grade 4 and 5 AE were not observed. Conclusion:Anlotinib can be safely used as neoadjuvant therapy for newly diagnosed LATC patients with good antitumor effects, providing better surgical opportunities for R0/1 resection.

OBJECTIVE To construct a prediction model for the efficacy of serotonin-norepinephrine reuptake inhibitor(SNRI)in inpatients with moderate and severe depression by using a machine learning method.METHODS The case records of inpatients with moderate and severe depression treated with SNRI antidepressants were collected from a third-grade class-A hospital in Xinjiang from January 2022 to October 2024;those patients were divided into effective group and ineffective group based on the Hamilton depression scale-24 score reduction rate.After screening the characteristic variables related to the therapeutic efficacy of SNRI drugs through LASSO regression,five prediction models including support vector machine,k-nearest neighbor,random forest,lightweight gradient boosting machine and extreme gradient boosting were constructed using the training set.Bayesian optimization was used to adjust the hyperparameters of these models.The performance of the models was evaluated in the validation set to select the optimal model.The Shapley additive explanations method was used to perform explainable analysis on the best model.RESULTS The medical records from 355 hospitalized patients with moderate and severe depression were collected,comprising 285 cases in the effective group and 70 cases in the ineffective group,resulting in an overall therapeutic response rate of 80.28%.After feature variable screening,five characteristic variables for therapeutic efficacy were obtained,including Hamilton anxiety scale,blood urea nitrogen,combination of anti-anxiety drugs,drinking history,and first onset of the disease.Compared with other models,the random forest model performed the best.The area under the receiver operating characteristic curve was 0.85,the area under the precision-recall curve was 0.87,the accuracy was 0.74,and the recall rate value was 0.75.CONCLUSIONS The random forest model constructed based on five characteristic variables demonstrates potential for predicting the therapeutic efficacy of SNRI antidepressants in hospitalized patients with moderate and severe depression.

Objective To investigate the current nursing practice of nurses specializing in nutritional support in ICUs and analyze their influencing factors in order to improve the training program and promote the development of standardized and precise nursing practice.Methods Convenience sampling method was used to select nutritional support nurses in ICUs in 29 provinces(autonomous regions and municipalities)from October 2023 to March 2025,and the self-developed questionnaire on nursing practice behaviors of nutritional support nurses in ICUs was used to conduct the survey.SPSS 21.0 software was used for descriptive analysis and multiple linear regression analysis.Results A total of 774 questionnaires were distributed,and 766 valid questionnaires were collected,with a recovery rate of 98.97％,and the score of the questionnaire on nursing practice behaviors of nurses specializing in nutritional support in ICU was(90.41±1 1.82).The results of multiple linear regression analysis showed that gender,presence of a nutritional support nursing team in the hospital,a standardized process of nutritional support nursing in the department,clear positional responsibilities of the nutritional support nursing team members,and inclusion of the nutritional support status of the patients in the quality management of the department were the factors influencing the nursing practice behavior scores of the nurses specializing in nutritional support in ICUs(P＜0.05).Conclusion Nurses in the ICUs have a high level of nursing practice behavior,but there is a need for further standardization in parenteral nutrition infusion and monitoring of complications.ICU nursing managers should formulate improvement strategies to address the weaknesses of clinical practice,strengthen nutritional support training,and improve the quality management program,and further improve the practical ability of nurses specializing in nutritional support.

Objective To explore the effects of ultrasound-guided intercostal nerve block(INB)and thoracic paravertebral nerve block(TPVB)on the dosage of anesthetics and the efficacy of analgesia in video-assisted thoracoscopic lobectomy.Methods From October 2019 to October 2023,90 patients undergoing video-assisted thoracoscopic lobectomy at the People's Hospital of Tongling City,Anhui,were selected.They were divided into the INB group(42 cases)and the TPVB group(48 cases).The INB group received ultrasound-guided intercostal nerve block,while the TPVB group was administered ultrasound-guided thoracic paravertebral nerve block.The two groups were compared before anesthesia induction(T0),15 minutes of anesthesia(T1),30 minutes of anesthesia(T2),45 minutes of anesthesia(T3),and after extubation(T4),vita4 signs,anesthetic dosage,analgesic effect,pain stress index and adverse reactions.Results In the TPVB group,systolic blood pressure(SBP)of T1,T2,T3 and T4 were(115.88±9.29)mmHg,(113.58±9.72)mmHg,(117.33±9.17)mmHg and(121.15±10.51)mmHg,respectively;diastolic blood pressure(DBP)were(86.74±7.35)mmHg,(90.83±8.82)mmHg,(90.83±8.82)mmHg and(91.05±8.73)mmHg,respectively;Heart rate(HR)were(79.94±7.46)times/min,(81.97±7.28)times/min,(82.36±7.41)times/min and(85.83±8.32)times/min,respectively.Which were all higher than the INB group[(103.53±8.28)mmHg,(105.40±8.66)mmHg,(109.03±8.13)mmHg,(114.64±9.65)mmHg.(77.68±6.57)mmHg,(79.27±6.69)mmHg,(83.21±7.37)mmHg,(85.83±8.21)mmHg,(71.17±6.21)times/min,(75.18±6.47)times/min,(74.82±6.12)times/min and(79.35±7.12)times/min,respectively],there were statistical significance between the two groups(P＜0.05).Postoperatively,the TPVB group had lower 24-hour sufentanil consumption[(27.68±2.64)μg]and fewer presses of the analgesia pump[(5.16±0.38)times]compared to the INB group[(36.22±3.36)μg and(6.87±0.42)times,(P＜0.05)].Visual analogue scale(VAS)scores for pain at rest and during coughing at 2,24,and 48 hours in group TPVB were 2.44±0.27,3.55±0.42,2.81±0.34 and 3.36±0.23,4.13±0.33,3.80±0.25,respectively,which were also lower than the INB group(2.83±0.44,3.98±0.55,3.33±0.46 and 3.87±0.30,4.59±0.47,4.17±0.29,respectively)(P＜0.05).Levels of prostaglandin E2(PGE2)(1.53±0.28 μg/L),norepinephrine(NE)(362.25±33.85 ng/L),and cortisol(Cor)(278.72±25.13 ng/L)in the TPVB group were lower than those in the INB group(2.71±0.32 μg/L,425.67±38.37 ng/L,315.68±29.21 ng/L)(P＜0.05).Adverse reactions such as nausea and vomiting,and dizziness were less frequent in the TPVB group[1(2.1％),1(2.1％)]compared to the INB group[6(12.5％),5(10.4％)](P＜0.05).Conclusion Ultrasound-guided thoracic paravertebral nerve block is superior to intercostal nerve block in terms of anesthetic dosage and analgesic efficacy in video-assisted thoracoscopic lobectomy.