Objective To develop an evaluation system for quality palliative care and provide an evaluation tool for quality palliative care service.Methods A preliminary evaluation system was drafted by using literature review and group discussion,aligning with the U.S.National Consensus Project for Quality Palliative Care(NCP).The system was revised and refined by two rounds of Delphi consultation with 15 palliative care experts(including specialists in clinical practice,nursing management,nursing research and education)from Tier-IIIA hospitals in Guangdong Province.Indicator weights were determined via consensus.Results Both rounds of expert consultation achieved 100.00%response rates.Expert authority coefficient(Cr)was 0.855.The importance scores of the level-1,level-2 and level-3 indicators of the second round of expert consultation were 4.90-5.00,4.80-5.00 and 4.37-5.00,respectively.Coefficients of variation were 0-0.06,0-0.1 and 0-0.19,respectively.The full score ratio ranged between 0.93 and 1.00,0.8 and 1.00,and 0.67 and 1.00.Kendall's W coefficients were 0.214,0.287 and 0.245,respectively(all P<0.01).The nine level-1 indicators were identified as care structure and process,physiological care,psychological care,social care,mental care,cultural care,end-of-life care,ethical care and quality improvement,with the weight coefficients of 0.123,0.153,0.110,0.106,0.098,0.082,0.119,0.092 and 0.117,respectively.The final evaluation system for quality palliative care included 9 indicators in level-1,22 in level-2 and 69 in level-3.Conclusion The evaluation system for quality palliative care developed on the basis of NCP is scientifically innovative and valid in content.Further studies are required to evaluate its validity..

Objective:To develop a deep learning model based on super-resolution endorectal ultrasound（ERUS）images for the preoperative prediction of perineural invasion（PNI）in patients with rectal cancer，thereby providing a reference for risk stratification and individualized treatment planning.Methods:A retrospective analysis was conducted on 382 patients with rectal cancer who underwent total mesorectal excision at Fujian Medical University Union Hospital between June 2019 and February 2024. Patients were randomly divided into a training set（ n=305）and a test set（ n=77）at a ratio of 8∶2，and further grouped into PNI-negative group and PNI-positive group subgroups based on pathological results. Super-resolution ultrasound images were generated from original ERUS images using a generative adversarial network（GAN）. Deep convolutional neural networks were developed based on features from intratumoral and peritumoral regions to identify the optimal region of interest（ROI）. The dSR5_ResNet18 and dSR5_ResNet50 models were constructed using the super-resolution images with a 5-pixel peritumoral extension. Representative clinical features were selected for subgroup analysis based on sample size and intergroup statistical differences between PNI-positive and PNI-negative patients. Forest plots were used to evaluate model applicability and robustness across subgroups. Results:The dSR5_ResNet18 model，built using super-resolution images of the tumor combined with a 5-pixel peritumoral region，achieved the best predictive performance，with an AUC of 0.867（95% CI=0.782 - 0.952）in the test set. Decision curve analysis demonstrated that the dSR5_ResNet18 model provided the greatest net clinical benefit. Forest plot analysis indicated strong generalizability of the models across subgroups such as pathological N stage，maximum lesion length，and lymph node enlargement，though relatively weaker performance was observed in the carcinoembryonic antigen（CEA）subgroup. Among all models，dSR5_ResNet18 exhibited the most consistent performance across subgroups，with the narrowest confidence intervals and highest robustness. Conclusions:The deep learning model incorporating ERUS-based super-resolution reconstruction demonstrated excellent performance in the preoperative prediction of PNI in rectal cancer. It offers significant advantages in image quality and generalizability，and may serve as a valuable tool to assist clinicians in formulating personalized treatment strategies.

Objective To analyze the acupoint selection law of acupuncture and moxibustion for pediatric cerebral palsy based on data mining techniques.Methods Clinical research literature about acupuncture and moxibustion for the treatment of pediatric cerebral palsy was retrieved from CNKI,Wanfang Data,VIP,CBM,PubMed,Web of Science,Embase and Cochrane Library from the establishment of the databases to April 1,2024.Excel 2021 was used to establish a database of prescription acupoints.The frequency of use of acupoints,attributed to the meridians,parts and specific acupoints were under statistically analysis,and SPSS Modeler 18.0 and SPSS Statistics 27.0 were used to conduct the association rules analysis,factor analysis and clustering analysis of acupoints.Results A total of 579 articles were included,579 prescriptions were extracted,containing 245 acupoints with the frequency of 6 422 times.The high-frequency acupoints were Zusanli,Baihui,Hegu,Sanyinjiao and Quchi,etc.The commonly used meridians were Governor Vessel,gall bladder meridian,stomach meridian,large intestine meridian and bladder meridian;mostly used acupoints were in the lower limbs,head and neck,upper limbs,waist and back.The association rules analysis showed that the top combinations were"Hegu-Quchi","Zusanli-Quchi","Zusanli-Quchi-Hegu","Hegu-Quchi-Zusanli";clustering analysis showed that 6 valid clusters were extracted;factor analysis extracted 7 valid common factors.Conclusion Acupuncture and moxibustion treatment for pediatric cerebral palsy is based on the principle of strengthening the brain,improving intelligence and tonifying the five zang organs,reflecting the principle of matching acupoints far and near.The core combination of acupoints is"Zusanli-Quchi-Hegu".

Objective:To investigate the effect of preoperative continuous fascia iliaca compartment block (FICB) on perioperative opioids dosage and quality of postoperative recovery in elderly patients with frail.Methods:A prospective study method was used. Sixty elderly frail patients underwent selective unilateral femoral head replacement surgery from November 2022 to October 2024 in Sihui People′s Hospital were selected. The patients were divided into control group and FICB group by random digits table method with 30 cases each. The patients in control group did not receive continuous FICB before surgery, and the patients in FICB group received continuous FICB 1 d before surgery. The perioperative use of opioids and analgesic effect, operative time, intraoperative blood loss, postoperative hospital stay, quality of recovery-40 (QoR-40) score at discharge and postoperative complications were compared between the two groups.Results:A total of 57 patients completed the study, with 29 cases in the FICB group and 28 cases in the control group. There were no statistical differences in operative time, intraoperative blood loss and postoperative hospital stay between the two groups ( P>0.05). The sufentanil dosage of patient-controlled analgesia (PCA), perioperative nalbuphine dosage, frequency of perioperative visual analog score (VAS)>4 scores, rate of preoperative rescue analgesia, rate of postoperative rescue analgesia and pressing frequency of PCA in FICB group were significantly lower than those in control group: (94.1 ± 5.4) μg vs. (102.1 ± 6.1) μg, 0 (0, 0) mg vs. 10.0 (0, 20.0) mg, 3.0 (2.0, 5.0) times vs. 5.0 (4.0, 6.0) times, 3.4% (1/29) vs. 32.1% (9/28), 13.8% (4/29) vs. 39.3% (11/28) and 2.0 (1.0, 3.0) times vs. 4.0 (3.0, 5.0) times, and there were statistical differences ( P<0.01 or <0.05). The total QoR-40 score and physical comfort, pain scores in FICB group were significantly higher than those in control group: 156(153, 161) scores vs. 153 (148, 159) scores, 47 (45, 50) scores vs. 45 (43, 47) scores and 30 (29, 31) scores vs. 28 (25, 30) scores, and there were statistical differences ( P<0.05 or <0.01); there were no statistical differences in emotional state, physical independence and psychological support scores between the two groups ( P>0.05). The incidences of dizziness and nausea vomiting in FICB group were significantly lower than those in control group: 13.8% (4/29) vs. 42.9% (12/28) and 10.3% (3/29) vs. 35.7% (10/28), and there were statistical differences ( P<0.05); there were no statistical difference in the incidences of delirium, pulmonary infection and deep vein thrombosis in the lower extremities between the two groups ( P>0.05). Conclusions:Preoperative continuous FICB can reduce perioperative opioids dosage in elderly patients with frail, and improve early stage postoperative recovery quality.

Objective To develop an evaluation system for quality palliative care and provide an evaluation tool for quality palliative care service.Methods A preliminary evaluation system was drafted by using literature review and group discussion,aligning with the U.S.National Consensus Project for Quality Palliative Care(NCP).The system was revised and refined by two rounds of Delphi consultation with 15 palliative care experts(including specialists in clinical practice,nursing management,nursing research and education)from Tier-IIIA hospitals in Guangdong Province.Indicator weights were determined via consensus.Results Both rounds of expert consultation achieved 100.00%response rates.Expert authority coefficient(Cr)was 0.855.The importance scores of the level-1,level-2 and level-3 indicators of the second round of expert consultation were 4.90-5.00,4.80-5.00 and 4.37-5.00,respectively.Coefficients of variation were 0-0.06,0-0.1 and 0-0.19,respectively.The full score ratio ranged between 0.93 and 1.00,0.8 and 1.00,and 0.67 and 1.00.Kendall's W coefficients were 0.214,0.287 and 0.245,respectively(all P<0.01).The nine level-1 indicators were identified as care structure and process,physiological care,psychological care,social care,mental care,cultural care,end-of-life care,ethical care and quality improvement,with the weight coefficients of 0.123,0.153,0.110,0.106,0.098,0.082,0.119,0.092 and 0.117,respectively.The final evaluation system for quality palliative care included 9 indicators in level-1,22 in level-2 and 69 in level-3.Conclusion The evaluation system for quality palliative care developed on the basis of NCP is scientifically innovative and valid in content.Further studies are required to evaluate its validity..

Objective:To investigate the effect of preoperative continuous fascia iliaca compartment block (FICB) on perioperative opioids dosage and quality of postoperative recovery in elderly patients with frail.Methods:A prospective study method was used. Sixty elderly frail patients underwent selective unilateral femoral head replacement surgery from November 2022 to October 2024 in Sihui People′s Hospital were selected. The patients were divided into control group and FICB group by random digits table method with 30 cases each. The patients in control group did not receive continuous FICB before surgery, and the patients in FICB group received continuous FICB 1 d before surgery. The perioperative use of opioids and analgesic effect, operative time, intraoperative blood loss, postoperative hospital stay, quality of recovery-40 (QoR-40) score at discharge and postoperative complications were compared between the two groups.Results:A total of 57 patients completed the study, with 29 cases in the FICB group and 28 cases in the control group. There were no statistical differences in operative time, intraoperative blood loss and postoperative hospital stay between the two groups ( P>0.05). The sufentanil dosage of patient-controlled analgesia (PCA), perioperative nalbuphine dosage, frequency of perioperative visual analog score (VAS)>4 scores, rate of preoperative rescue analgesia, rate of postoperative rescue analgesia and pressing frequency of PCA in FICB group were significantly lower than those in control group: (94.1 ± 5.4) μg vs. (102.1 ± 6.1) μg, 0 (0, 0) mg vs. 10.0 (0, 20.0) mg, 3.0 (2.0, 5.0) times vs. 5.0 (4.0, 6.0) times, 3.4% (1/29) vs. 32.1% (9/28), 13.8% (4/29) vs. 39.3% (11/28) and 2.0 (1.0, 3.0) times vs. 4.0 (3.0, 5.0) times, and there were statistical differences ( P<0.01 or <0.05). The total QoR-40 score and physical comfort, pain scores in FICB group were significantly higher than those in control group: 156(153, 161) scores vs. 153 (148, 159) scores, 47 (45, 50) scores vs. 45 (43, 47) scores and 30 (29, 31) scores vs. 28 (25, 30) scores, and there were statistical differences ( P<0.05 or <0.01); there were no statistical differences in emotional state, physical independence and psychological support scores between the two groups ( P>0.05). The incidences of dizziness and nausea vomiting in FICB group were significantly lower than those in control group: 13.8% (4/29) vs. 42.9% (12/28) and 10.3% (3/29) vs. 35.7% (10/28), and there were statistical differences ( P<0.05); there were no statistical difference in the incidences of delirium, pulmonary infection and deep vein thrombosis in the lower extremities between the two groups ( P>0.05). Conclusions:Preoperative continuous FICB can reduce perioperative opioids dosage in elderly patients with frail, and improve early stage postoperative recovery quality.

Objective To analyze the acupoint selection law of acupuncture and moxibustion for pediatric cerebral palsy based on data mining techniques.Methods Clinical research literature about acupuncture and moxibustion for the treatment of pediatric cerebral palsy was retrieved from CNKI,Wanfang Data,VIP,CBM,PubMed,Web of Science,Embase and Cochrane Library from the establishment of the databases to April 1,2024.Excel 2021 was used to establish a database of prescription acupoints.The frequency of use of acupoints,attributed to the meridians,parts and specific acupoints were under statistically analysis,and SPSS Modeler 18.0 and SPSS Statistics 27.0 were used to conduct the association rules analysis,factor analysis and clustering analysis of acupoints.Results A total of 579 articles were included,579 prescriptions were extracted,containing 245 acupoints with the frequency of 6 422 times.The high-frequency acupoints were Zusanli,Baihui,Hegu,Sanyinjiao and Quchi,etc.The commonly used meridians were Governor Vessel,gall bladder meridian,stomach meridian,large intestine meridian and bladder meridian;mostly used acupoints were in the lower limbs,head and neck,upper limbs,waist and back.The association rules analysis showed that the top combinations were"Hegu-Quchi","Zusanli-Quchi","Zusanli-Quchi-Hegu","Hegu-Quchi-Zusanli";clustering analysis showed that 6 valid clusters were extracted;factor analysis extracted 7 valid common factors.Conclusion Acupuncture and moxibustion treatment for pediatric cerebral palsy is based on the principle of strengthening the brain,improving intelligence and tonifying the five zang organs,reflecting the principle of matching acupoints far and near.The core combination of acupoints is"Zusanli-Quchi-Hegu".

Objective:To develop a deep learning model based on super-resolution endorectal ultrasound（ERUS）images for the preoperative prediction of perineural invasion（PNI）in patients with rectal cancer，thereby providing a reference for risk stratification and individualized treatment planning.Methods:A retrospective analysis was conducted on 382 patients with rectal cancer who underwent total mesorectal excision at Fujian Medical University Union Hospital between June 2019 and February 2024. Patients were randomly divided into a training set（ n=305）and a test set（ n=77）at a ratio of 8∶2，and further grouped into PNI-negative group and PNI-positive group subgroups based on pathological results. Super-resolution ultrasound images were generated from original ERUS images using a generative adversarial network（GAN）. Deep convolutional neural networks were developed based on features from intratumoral and peritumoral regions to identify the optimal region of interest（ROI）. The dSR5_ResNet18 and dSR5_ResNet50 models were constructed using the super-resolution images with a 5-pixel peritumoral extension. Representative clinical features were selected for subgroup analysis based on sample size and intergroup statistical differences between PNI-positive and PNI-negative patients. Forest plots were used to evaluate model applicability and robustness across subgroups. Results:The dSR5_ResNet18 model，built using super-resolution images of the tumor combined with a 5-pixel peritumoral region，achieved the best predictive performance，with an AUC of 0.867（95% CI=0.782 - 0.952）in the test set. Decision curve analysis demonstrated that the dSR5_ResNet18 model provided the greatest net clinical benefit. Forest plot analysis indicated strong generalizability of the models across subgroups such as pathological N stage，maximum lesion length，and lymph node enlargement，though relatively weaker performance was observed in the carcinoembryonic antigen（CEA）subgroup. Among all models，dSR5_ResNet18 exhibited the most consistent performance across subgroups，with the narrowest confidence intervals and highest robustness. Conclusions:The deep learning model incorporating ERUS-based super-resolution reconstruction demonstrated excellent performance in the preoperative prediction of PNI in rectal cancer. It offers significant advantages in image quality and generalizability，and may serve as a valuable tool to assist clinicians in formulating personalized treatment strategies.

Objective:To investigate the application value of shear wave elastography (SWE) in the evaluation of T re-staging after neoadjuvant chemoradiotherapy (nCRT) for locally advanced rectal cancer.Methods:Clinical, endorectal ultrasound (ERUS) and SWE data of 271 patients with locally advanced rectal cancer who underwent nCRT and total mesorectal excision in Fujian Medical University Union Hospital from October 2021 to March 2023 were prospectively collected. The independent predictors for low T staging were analyzed and screened, and the Logistic regression model was constructed. An independent test set was used to validate the prediction performance of the models and compare them with the diagnostic results of sonographers.Results:Binary multivariate Logistic regression analysis showed that Emean of the mesentery around the lesion, thickness, and enlarged lymph nodes around the rectum were the independent predictors for low T staging, and the odds ratios were 1.089, 1.214, 0.183, respectively. The Logistic regression model A established by Emean, thickness and enlarged lymph nodes around the lesion and the Logistic regression model B established by Emean around the lesion had high diagnostic efficiencies (area under the ROC curve were 0.931, 0.918, respectively, the accuracy were 0.888 and 0.887, respectively). There was no significant difference in diagnostic accuracy between the two models ( P=1.000), and both models were significantly higher than that of sonographers (all P<0.001). Conclusions:SWE can effectively predict whether the tumor is of low T staging after nCRT in locally advanced rectal cancer, and can be used as an important supplement to ERUS in evaluating the T re-staging of rectal cancer after nCRT.

Objective: To identify and characterize the 4 strains of Prototheca isolated from the clinical samples of skin or ascites samples in China. Methods: The taxonomic position of 4 yeast-like organisms was revealed by polyphasic taxonomic approach, i.e., cultural and morphologic characteristics, commercial biochemical systems of Vitek 2 (YST kit) and Vitek matrix-assisted laser desorption/ionization time of flight (MALDI-TOF) mass spectrometry (MS) systems in combination with phylogenetic analysis based on the gene sequences of 16S and 28S rRNA. Results: The 4 strains of Prototheca were characterized as cream-white, smooth, moist yeast-like colonies on Sabouraud gentamicin chloramph agar after incubation for 3 days. However, round, oval-shaped or elliptical sporangiums with mulberry-like or strawberry-like endospores were observed by optical microscope, which showed distinct differences from the general yeast species. The 4 isolates were identified as Prototheca wickerhamii with Vitek YST kits by Vitek 2 systems and Vitek MALDI-TOF MS systems. The genome for the 4 isolates was characterized with the existence of the prokaryotic 16S rRNA gene and eukaryotic 28S rRNA gene. The 16S rRNA gene sequence of the 4 strains showed more than 99.7% similarity to that of P. wickerhamii. Sequence analysis of 28S rRNA gene showed that the organisms included multiple copies of different sequences, which showed sequence similarities of 91.9% to 100% even in the same strain. The phylogenetic dendrogram based on 16S rRNA and 28S rRNA gene sequences showed that the 4 strains of Prototheca formed a cluster along with P. wickerhamii. Conclusion The 4 yeast-like organisms could be identified as P. wickerhamii, and 16S rRNA gene should be the suitable molecular target for the identification.