1.Predictors of curative effect of Quyin Koufuye and its synergistic ef-fect on biologics in the treatment of psoriasis
Juan DU ; Lanmei LIN ; Canbin DONG ; Kexiang YAN ; Jian GAO
Chinese Journal of Clinical Pharmacology and Therapeutics 2024;29(4):460-465
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.
2. Predictors of curative effect of Quyin Koufuye and its synergistic effect on biologics in the treatment of psoriasis
Juan DU ; Lanmei LIN ; Canbin DONG ; Kexiang YAN ; Jian GAO
Chinese Journal of Clinical Pharmacology and Therapeutics 2024;29(4):460-465
AIM: To assess the efficacy of Quyin Koufuye in different types of psoriasis vulgaris and analyzes the relationship between efficacy and various disease-related factors, as well as its complementary role in biologic therapy. METHODS: This study included a total of 396 patients with psoriasis. 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 history 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%, P= 0.045). Influencing factors included psoriasis-affected body surface area (OR=0.960, P=0.000), prolonged 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 Koufuye 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.
3.Predictors of curative effect of Quyin Koufuye and its synergistic ef-fect on biologics in the treatment of psoriasis
Juan DU ; Lanmei LIN ; Canbin DONG ; Kexiang YAN ; Jian GAO
Chinese Journal of Clinical Pharmacology and Therapeutics 2024;29(4):460-465
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.
4.Predictors of curative effect of Quyin Koufuye and its synergistic ef-fect on biologics in the treatment of psoriasis
Juan DU ; Lanmei LIN ; Canbin DONG ; Kexiang YAN ; Jian GAO
Chinese Journal of Clinical Pharmacology and Therapeutics 2024;29(4):460-465
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.
5.Predictors of curative effect of Quyin Koufuye and its synergistic ef-fect on biologics in the treatment of psoriasis
Juan DU ; Lanmei LIN ; Canbin DONG ; Kexiang YAN ; Jian GAO
Chinese Journal of Clinical Pharmacology and Therapeutics 2024;29(4):460-465
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.
6.Predictors of curative effect of Quyin Koufuye and its synergistic ef-fect on biologics in the treatment of psoriasis
Juan DU ; Lanmei LIN ; Canbin DONG ; Kexiang YAN ; Jian GAO
Chinese Journal of Clinical Pharmacology and Therapeutics 2024;29(4):460-465
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.
7.Predictors of curative effect of Quyin Koufuye and its synergistic ef-fect on biologics in the treatment of psoriasis
Juan DU ; Lanmei LIN ; Canbin DONG ; Kexiang YAN ; Jian GAO
Chinese Journal of Clinical Pharmacology and Therapeutics 2024;29(4):460-465
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.
8.Predictors of curative effect of Quyin Koufuye and its synergistic ef-fect on biologics in the treatment of psoriasis
Juan DU ; Lanmei LIN ; Canbin DONG ; Kexiang YAN ; Jian GAO
Chinese Journal of Clinical Pharmacology and Therapeutics 2024;29(4):460-465
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.
9.Predictors of curative effect of Quyin Koufuye and its synergistic ef-fect on biologics in the treatment of psoriasis
Juan DU ; Lanmei LIN ; Canbin DONG ; Kexiang YAN ; Jian GAO
Chinese Journal of Clinical Pharmacology and Therapeutics 2024;29(4):460-465
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.
10.The machine learning algorithm screened the characteristic variables of prolonged hospital stay after hip fracture and constructed the prediction model
Changying SU ; Lisha HUANG ; Jiesi ZHONG ; Lanmei PENG ; Jingru WANG ; Hui GAO ; Jun YANG
Chinese Journal of Practical Nursing 2024;40(19):1454-1461
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.

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