AIM:To assess the efficacy of Quyin Koufuye in different types of psoriasis vulgaris and analyzes the relationship between efficacy and vari-ous disease-related factors,as well as its comple-mentary role in biologic therapy.METHODS:This study included a total of 396 patients with psoria-sis.Based on the patient history,participants were categorized into the biologics group(n=98),Quyin Koufuye-assisted biologics group(n=62),and Quyin Koufuye monotherapy group(n=236).Patient histo-ry data were collected,including gender,duration of illness,disease type,initial site of onset,degree of itching,recurrence status and time,smoking habits,joint pain,family history of psoriasis,nail damage,treatment plan,and PASI/BSA scores.A retrospective analysis was conducted to identify factors influencing the efficacy of Quyin Koufuye and to analyze its combined effects with biologics.RESULTS:Combining Quyin Koufuye with biologics significantly boosted the PASI90 response rate to 72.6％(P=0.014).Responders to PASI50 with Quyin Koufuye experienced longer recurrence intervals(＞6 months)than non-responders(50％vs.33.6％,A=0.045).Influencing factors included psoriasis-affect-ed body surface area(OR=0.960,P=0.000),pro-longed smoking history(OR=2.10,P=0.046),and psoriasis type(OR=2.47,P=0.015).CONCLUSION:This study underscores the synergy of Quyin Kou-fuye and biologics in treating psoriasis,particularly for longer recurrence intervals-factors like smoking history,psoriasis type,and affected body surface area impact Quyin Koufuye's efficacy.

AIM:To assess the efficacy of Quyin Koufuye in different types of psoriasis vulgaris and analyzes the relationship between efficacy and vari-ous disease-related factors,as well as its comple-mentary role in biologic therapy.METHODS:This study included a total of 396 patients with psoria-sis.Based on the patient history,participants were categorized into the biologics group(n=98),Quyin Koufuye-assisted biologics group(n=62),and Quyin Koufuye monotherapy group(n=236).Patient histo-ry data were collected,including gender,duration of illness,disease type,initial site of onset,degree of itching,recurrence status and time,smoking habits,joint pain,family history of psoriasis,nail damage,treatment plan,and PASI/BSA scores.A retrospective analysis was conducted to identify factors influencing the efficacy of Quyin Koufuye and to analyze its combined effects with biologics.RESULTS:Combining Quyin Koufuye with biologics significantly boosted the PASI90 response rate to 72.6％(P=0.014).Responders to PASI50 with Quyin Koufuye experienced longer recurrence intervals(＞6 months)than non-responders(50％vs.33.6％,A=0.045).Influencing factors included psoriasis-affect-ed body surface area(OR=0.960,P=0.000),pro-longed smoking history(OR=2.10,P=0.046),and psoriasis type(OR=2.47,P=0.015).CONCLUSION:This study underscores the synergy of Quyin Kou-fuye and biologics in treating psoriasis,particularly for longer recurrence intervals-factors like smoking history,psoriasis type,and affected body surface area impact Quyin Koufuye's efficacy.

AIM:To assess the efficacy of Quyin Koufuye in different types of psoriasis vulgaris and analyzes the relationship between efficacy and vari-ous disease-related factors,as well as its comple-mentary role in biologic therapy.METHODS:This study included a total of 396 patients with psoria-sis.Based on the patient history,participants were categorized into the biologics group(n=98),Quyin Koufuye-assisted biologics group(n=62),and Quyin Koufuye monotherapy group(n=236).Patient histo-ry data were collected,including gender,duration of illness,disease type,initial site of onset,degree of itching,recurrence status and time,smoking habits,joint pain,family history of psoriasis,nail damage,treatment plan,and PASI/BSA scores.A retrospective analysis was conducted to identify factors influencing the efficacy of Quyin Koufuye and to analyze its combined effects with biologics.RESULTS:Combining Quyin Koufuye with biologics significantly boosted the PASI90 response rate to 72.6％(P=0.014).Responders to PASI50 with Quyin Koufuye experienced longer recurrence intervals(＞6 months)than non-responders(50％vs.33.6％,A=0.045).Influencing factors included psoriasis-affect-ed body surface area(OR=0.960,P=0.000),pro-longed smoking history(OR=2.10,P=0.046),and psoriasis type(OR=2.47,P=0.015).CONCLUSION:This study underscores the synergy of Quyin Kou-fuye and biologics in treating psoriasis,particularly for longer recurrence intervals-factors like smoking history,psoriasis type,and affected body surface area impact Quyin Koufuye's efficacy.

AIM:To assess the efficacy of Quyin Koufuye in different types of psoriasis vulgaris and analyzes the relationship between efficacy and vari-ous disease-related factors,as well as its comple-mentary role in biologic therapy.METHODS:This study included a total of 396 patients with psoria-sis.Based on the patient history,participants were categorized into the biologics group(n=98),Quyin Koufuye-assisted biologics group(n=62),and Quyin Koufuye monotherapy group(n=236).Patient histo-ry data were collected,including gender,duration of illness,disease type,initial site of onset,degree of itching,recurrence status and time,smoking habits,joint pain,family history of psoriasis,nail damage,treatment plan,and PASI/BSA scores.A retrospective analysis was conducted to identify factors influencing the efficacy of Quyin Koufuye and to analyze its combined effects with biologics.RESULTS:Combining Quyin Koufuye with biologics significantly boosted the PASI90 response rate to 72.6％(P=0.014).Responders to PASI50 with Quyin Koufuye experienced longer recurrence intervals(＞6 months)than non-responders(50％vs.33.6％,A=0.045).Influencing factors included psoriasis-affect-ed body surface area(OR=0.960,P=0.000),pro-longed smoking history(OR=2.10,P=0.046),and psoriasis type(OR=2.47,P=0.015).CONCLUSION:This study underscores the synergy of Quyin Kou-fuye and biologics in treating psoriasis,particularly for longer recurrence intervals-factors like smoking history,psoriasis type,and affected body surface area impact Quyin Koufuye's efficacy.

AIM:To assess the efficacy of Quyin Koufuye in different types of psoriasis vulgaris and analyzes the relationship between efficacy and vari-ous disease-related factors,as well as its comple-mentary role in biologic therapy.METHODS:This study included a total of 396 patients with psoria-sis.Based on the patient history,participants were categorized into the biologics group(n=98),Quyin Koufuye-assisted biologics group(n=62),and Quyin Koufuye monotherapy group(n=236).Patient histo-ry data were collected,including gender,duration of illness,disease type,initial site of onset,degree of itching,recurrence status and time,smoking habits,joint pain,family history of psoriasis,nail damage,treatment plan,and PASI/BSA scores.A retrospective analysis was conducted to identify factors influencing the efficacy of Quyin Koufuye and to analyze its combined effects with biologics.RESULTS:Combining Quyin Koufuye with biologics significantly boosted the PASI90 response rate to 72.6％(P=0.014).Responders to PASI50 with Quyin Koufuye experienced longer recurrence intervals(＞6 months)than non-responders(50％vs.33.6％,A=0.045).Influencing factors included psoriasis-affect-ed body surface area(OR=0.960,P=0.000),pro-longed smoking history(OR=2.10,P=0.046),and psoriasis type(OR=2.47,P=0.015).CONCLUSION:This study underscores the synergy of Quyin Kou-fuye and biologics in treating psoriasis,particularly for longer recurrence intervals-factors like smoking history,psoriasis type,and affected body surface area impact Quyin Koufuye's efficacy.

AIM:To assess the efficacy of Quyin Koufuye in different types of psoriasis vulgaris and analyzes the relationship between efficacy and vari-ous disease-related factors,as well as its comple-mentary role in biologic therapy.METHODS:This study included a total of 396 patients with psoria-sis.Based on the patient history,participants were categorized into the biologics group(n=98),Quyin Koufuye-assisted biologics group(n=62),and Quyin Koufuye monotherapy group(n=236).Patient histo-ry data were collected,including gender,duration of illness,disease type,initial site of onset,degree of itching,recurrence status and time,smoking habits,joint pain,family history of psoriasis,nail damage,treatment plan,and PASI/BSA scores.A retrospective analysis was conducted to identify factors influencing the efficacy of Quyin Koufuye and to analyze its combined effects with biologics.RESULTS:Combining Quyin Koufuye with biologics significantly boosted the PASI90 response rate to 72.6％(P=0.014).Responders to PASI50 with Quyin Koufuye experienced longer recurrence intervals(＞6 months)than non-responders(50％vs.33.6％,A=0.045).Influencing factors included psoriasis-affect-ed body surface area(OR=0.960,P=0.000),pro-longed smoking history(OR=2.10,P=0.046),and psoriasis type(OR=2.47,P=0.015).CONCLUSION:This study underscores the synergy of Quyin Kou-fuye and biologics in treating psoriasis,particularly for longer recurrence intervals-factors like smoking history,psoriasis type,and affected body surface area impact Quyin Koufuye's efficacy.

AIM:To assess the efficacy of Quyin Koufuye in different types of psoriasis vulgaris and analyzes the relationship between efficacy and vari-ous disease-related factors,as well as its comple-mentary role in biologic therapy.METHODS:This study included a total of 396 patients with psoria-sis.Based on the patient history,participants were categorized into the biologics group(n=98),Quyin Koufuye-assisted biologics group(n=62),and Quyin Koufuye monotherapy group(n=236).Patient histo-ry data were collected,including gender,duration of illness,disease type,initial site of onset,degree of itching,recurrence status and time,smoking habits,joint pain,family history of psoriasis,nail damage,treatment plan,and PASI/BSA scores.A retrospective analysis was conducted to identify factors influencing the efficacy of Quyin Koufuye and to analyze its combined effects with biologics.RESULTS:Combining Quyin Koufuye with biologics significantly boosted the PASI90 response rate to 72.6％(P=0.014).Responders to PASI50 with Quyin Koufuye experienced longer recurrence intervals(＞6 months)than non-responders(50％vs.33.6％,A=0.045).Influencing factors included psoriasis-affect-ed body surface area(OR=0.960,P=0.000),pro-longed smoking history(OR=2.10,P=0.046),and psoriasis type(OR=2.47,P=0.015).CONCLUSION:This study underscores the synergy of Quyin Kou-fuye and biologics in treating psoriasis,particularly for longer recurrence intervals-factors like smoking history,psoriasis type,and affected body surface area impact Quyin Koufuye's efficacy.

AIM:To assess the efficacy of Quyin Koufuye in different types of psoriasis vulgaris and analyzes the relationship between efficacy and vari-ous disease-related factors,as well as its comple-mentary role in biologic therapy.METHODS:This study included a total of 396 patients with psoria-sis.Based on the patient history,participants were categorized into the biologics group(n=98),Quyin Koufuye-assisted biologics group(n=62),and Quyin Koufuye monotherapy group(n=236).Patient histo-ry data were collected,including gender,duration of illness,disease type,initial site of onset,degree of itching,recurrence status and time,smoking habits,joint pain,family history of psoriasis,nail damage,treatment plan,and PASI/BSA scores.A retrospective analysis was conducted to identify factors influencing the efficacy of Quyin Koufuye and to analyze its combined effects with biologics.RESULTS:Combining Quyin Koufuye with biologics significantly boosted the PASI90 response rate to 72.6％(P=0.014).Responders to PASI50 with Quyin Koufuye experienced longer recurrence intervals(＞6 months)than non-responders(50％vs.33.6％,A=0.045).Influencing factors included psoriasis-affect-ed body surface area(OR=0.960,P=0.000),pro-longed smoking history(OR=2.10,P=0.046),and psoriasis type(OR=2.47,P=0.015).CONCLUSION:This study underscores the synergy of Quyin Kou-fuye and biologics in treating psoriasis,particularly for longer recurrence intervals-factors like smoking history,psoriasis type,and affected body surface area impact Quyin Koufuye's efficacy.

Objective:To investigate the reproducibility of whole-heart and volume-targeted balanced steady-state free precession (bSSFP) non-contrast MR coronary angiography (CMRA) for displaying coronary trunks.Methods:From February and September 2021, the whole-heart and volume-targeted CMRA examinations of 58 volunteers were prospectively and consecutively acquired in The First Affiliated Hospital of Fujian Medical University. Each volunteer underwent CMRA twice within a week. The subjective score, vessel-to-myocardium ratio (VMR), vessel-to-fat ratio (VFR), signal-noise ratio (SNR), and coronary corresponding coordinate was analyzed and extracted. Inter-observer, intra-observer and inter-scan consistency were evaluated by intraclass correlation coefficient (ICC), Bland-Altman analysis, Hausdorff Distance (HD), and Dice Similarity Coefficient (DSC).Results:The inter-observer and intra-observer consistencies of subjective scores, VMR, and VFR of the whole-heart and volume-targeted coronary artery images were excellent (ICC>0.76, P<0.001). The inter-scan VFR consistencies of RCA, LM, and LCX of whole-heart coronary scans were moderate (ICC=0.235, 0.264, 0.380, all P<0.05), while the consistencies of the remaining variables were good, (all ICCs>0.49, P<0.001). Bland-Altman method showed that most VMR, VFR, and SNR of two CMRA imaging were within the 95% limits of agreement. Whole-heart CMRA inter-and intra-observer mean HD was 1.79 (1.35, 3.25), 1.68 (1.09, 4.10), mean DSC was 0.96±0.04, 0.97±0.03. Volume-targeted CMRA inter-and intra-observer mean HD were 1.74 (1.63, 3.11), 1.74 (1.63, 1.98), and the mean DSC was 0.91±0.10, 0.95±0.05. The subjective score of raw images of the total artery trunk of volume-targeted CMRA [3.86 (3.68,4.00) vs. 3.80 (3.58,3.96) ], VMR [1.45 (1.27,1.58) vs. 1.22 (1.13,1.41) ], and VFR [7.36 (6.44,8.60) vs. 5.97 (4.97,6.64) ] were better than those of whole-heart CMRA (all P<0.05). The overall subjective score of whole-heart CMRA coronary trunk curved projection reformation was better than volume-targeted CMRA [3.75 (3.57, 3.88) vs. 3.63 (3.44, 3.71)] ( P<0.001). Conclusions:Whole-heart and volume-targeted bSSFP non-contrast CMRA represent good reproducibility and image quality in the main coronary artery of healthy volunteers. Both of the two methods have their advantages and complement each other.

Objective:To identify risk variables for prolonged postoperative length of stay (PPOLOS) in hip fracture patients by machine learning algorithms and construct Nomogram models.Methods:A retrospective case-control study was conducted to select 248 patients with hip fracture diagnosed and treated in Yingtan 184th Hospital from June 2019 to June 2023 by convenient sampling method. Two machine learning algorithms were used (least absolute shrinkage and selection operator, LASSO and support vector machine-Recursive Feature Elimination, SVM-RFE) to screen PPOLOS risk variables. Construct a Nomogram model to predict the risk of PPOLOS in patients with hip fracture based on intersection risk variables. The model was validated using internal data sets.Results:Among the 248 patients with hip fracture, there were 79 males and 169 females, aged (64.49 ± 8.02). The mean postoperative length of hospital stay of 248 patients was (7.98 ± 5.68) d, and the median was 7 d. LASSO algorithm identifies 7 risk variables, the SVM-RFE algorithm identified 8 risk variables. Intersectional risk variables were age, body mass index (BMI), Charlson comorbidity index (CCI), type of surgery, and central granulocytocyte ratio (NLR). Multivariate Logistic regression analysis(intersection risk variables) showed that age [ OR=1.649(1.235-2.202)], BMI [1.603(1.204-2.134)], CCI [ OR=1.670(1.236-2.258)], type of surgery [ OR=1.620(1.209-2.170), 1.699(1.243-2.321)], and NLR [ OR=3.258(2.299-4.617)] were independently associated with the risk of PPOLOS (all P<0.05). The results showed that the conformity index of the Nomogram model was 0.865 (95% CI=0.768-0.945). The area under the curve was 0.852 (95% CI=0.748-0.962). When the risk threshold was >0.08, it could provide significant clinical net benefit. The clinical impact curve showed effective identification of PPOLOS patients in high-risk groups. Conclusions:This Nomogram model can guide medical staff to make clinical diagnosis and treatment decisions as soon as possible to avoid risks, allocate medical resources rationally, and improve nursing quality.