Objective:At present, the modified NIH classification commonly used in clinical practice is still insufficient for assessing the risk of postoperative recurrence in some patients with intermediate-high risk gastrointestinal stromal tumors (GIST). Through exploring risk factors for recurrence of intermediate-high risk GIST, this study establishes a predictive model for recurrence with more convenience and more precision in order to guide adjuvant therapy for intermediate-high risk GIST patients.Methods:A retrospective case-control study was carried out. Clinical and pathological data of 432 GIST patients who did not receive preoperative targeted treatment, underwent complete resection in the Union Hospital of Tongji Medical College of Huazhong University of Science and Technology from January 2005 to June 2018, and were diagnosed as intermediate- or high-risk based on modified NIH classification by postopertive pathology, were retrospectively analyzed. Cox regression model was used to idenitify independent risk factors of recurrence, and a recurrence risk scoring model was established. The receiver operating characteristic curve (ROC curve), consistency index (C-index) and calibration curve were used to evaluate the accuracy of the scoring model in predicting the recurrence of moderate-risk and high-risk GIST patients.Results:Among 432 GIST patients, 332 were diagnosed as high-risk and 100 as moderate-risk; 237 were males and 195 females with average age of (57.4±12.4) years. Of 432 patients, 211 cases (48.8%) had fibrinogen (FIB) >3.5 g/L; 85 cases (19.7%) had platelet to lymphocyte ratio (PLR)>272.5; 122 cases (28.2%) had neutrophil to lymphocyte ratio (NLR) > 4.2; 102 cases (23.6%) had systemic inflammatory reaction index (SIRI)> 2.7; 198 cases (45.8%) had tumor long diameter >8 cm and 108 cases (25.0%) had mitotic counts > 8/50 HPF. Cox multivariable analysis showed that FIB (HR=1.789, 95% CI: 1.058-3.027, P=0.030), PLR (HR=1.862, 95% CI: 1.067-3.249, P=0.029), SIRI (HR=1.790, 95% CI: 1.039-3.084, P=0.036), tumor long diameter (HR=1.970, 95% CI: 1.105-2.925, P=0.017) and mitotic counts (HR=2.187, 95% CI:1.211-3.950, P=0.009) were independent risk factors for recurrence in patients with middle-risk and high-risk GIST. These 5 factors were included in the risk scoring model, which was given a weight score of 58 points, 62 points, 58 points, 63 points, and 78 points, respectively. Patients with a total score of ≤ 78 points were classified as moderate-risk recurrence (group I), those of 78 to 136 points as high-risk recurrence (group II) and those of >136 points as very high-risk recurrence (group III). ROC curve showed that the area under the curve (AUC) of the scoring model was 0.730 and the C-index was 0.724 (95% CI:0.687-0.787). The calibration curves and the Kaplan-Meier curves of patients in the three groups revealed that this model had a good predictive accuracy. Conclusions:For intermediate-risk and high-risk GIST patients, the preoperative FIB >3.5 g/L, PLR > 272.5 and SIRI > 2.7 are independent risk factors of recurrence after surgery. The recurrence risk scoring model established by combining tumor long diameter, mitotic counts, FIB, PLR and SIRI can effectively predict the risk of postoperative recurrence and metastasis in moderate-risk and high-risk GIST patients.

Objective:At present, the modified NIH classification commonly used in clinical practice is still insufficient for assessing the risk of postoperative recurrence in some patients with intermediate-high risk gastrointestinal stromal tumors (GIST). Through exploring risk factors for recurrence of intermediate-high risk GIST, this study establishes a predictive model for recurrence with more convenience and more precision in order to guide adjuvant therapy for intermediate-high risk GIST patients.Methods:A retrospective case-control study was carried out. Clinical and pathological data of 432 GIST patients who did not receive preoperative targeted treatment, underwent complete resection in the Union Hospital of Tongji Medical College of Huazhong University of Science and Technology from January 2005 to June 2018, and were diagnosed as intermediate- or high-risk based on modified NIH classification by postopertive pathology, were retrospectively analyzed. Cox regression model was used to idenitify independent risk factors of recurrence, and a recurrence risk scoring model was established. The receiver operating characteristic curve (ROC curve), consistency index (C-index) and calibration curve were used to evaluate the accuracy of the scoring model in predicting the recurrence of moderate-risk and high-risk GIST patients.Results:Among 432 GIST patients, 332 were diagnosed as high-risk and 100 as moderate-risk; 237 were males and 195 females with average age of (57.4±12.4) years. Of 432 patients, 211 cases (48.8%) had fibrinogen (FIB) >3.5 g/L; 85 cases (19.7%) had platelet to lymphocyte ratio (PLR)>272.5; 122 cases (28.2%) had neutrophil to lymphocyte ratio (NLR) > 4.2; 102 cases (23.6%) had systemic inflammatory reaction index (SIRI)> 2.7; 198 cases (45.8%) had tumor long diameter >8 cm and 108 cases (25.0%) had mitotic counts > 8/50 HPF. Cox multivariable analysis showed that FIB (HR=1.789, 95% CI: 1.058-3.027, P=0.030), PLR (HR=1.862, 95% CI: 1.067-3.249, P=0.029), SIRI (HR=1.790, 95% CI: 1.039-3.084, P=0.036), tumor long diameter (HR=1.970, 95% CI: 1.105-2.925, P=0.017) and mitotic counts (HR=2.187, 95% CI:1.211-3.950, P=0.009) were independent risk factors for recurrence in patients with middle-risk and high-risk GIST. These 5 factors were included in the risk scoring model, which was given a weight score of 58 points, 62 points, 58 points, 63 points, and 78 points, respectively. Patients with a total score of ≤ 78 points were classified as moderate-risk recurrence (group I), those of 78 to 136 points as high-risk recurrence (group II) and those of >136 points as very high-risk recurrence (group III). ROC curve showed that the area under the curve (AUC) of the scoring model was 0.730 and the C-index was 0.724 (95% CI:0.687-0.787). The calibration curves and the Kaplan-Meier curves of patients in the three groups revealed that this model had a good predictive accuracy. Conclusions:For intermediate-risk and high-risk GIST patients, the preoperative FIB >3.5 g/L, PLR > 272.5 and SIRI > 2.7 are independent risk factors of recurrence after surgery. The recurrence risk scoring model established by combining tumor long diameter, mitotic counts, FIB, PLR and SIRI can effectively predict the risk of postoperative recurrence and metastasis in moderate-risk and high-risk GIST patients.

ObjectiveTo investigate the application value of narrative medical model in communication with cancer patients with low education level. MethodsRetrospective analysis was performed on 80 cancer patients with low education level who were hospitalized in West China Hospital of Sichuan University from March 2019 to April 2020. They were randomly divided into control group （n=40） and observation group （n=40）. The control group received conventional nursing intervention， while the observation group received narrative medical nursing mode intervention. Both groups received intervention for 6 months. The Self-rating Anxiety Scale （SAS）， Self-rating Depression Scale （SDS）， Morisky Medication Adherence Scale （MMAS-8）， Social Support Rating Scale （SSRS） and self-designed knowledge of the disease and cognition questionnaire were used for evaluation before and after intervention. ResultsAfter intervention， the SAS and SDS scores of observation group were lower than those of control group （t=7.493， 8.314， P<0.01）. After intervention， medication compliance of observation group was higher than that of control group （χ²=4.012， P=0.045）. SSRS subscale score and total score were higher than those in control group （t=2.198， 7.548， 2.664， 4.248， P<0.05 or 0.01）. After intervention， the mastery rate of knowledge about the disease and the excellent and good rate of cognitive behavior in observation group were higher than those in control group （χ²=4.588， 5.541， P<0.05）. ConclusionThe narrative medical model is of certain application value in communication with cancer patients with low education level. It can better improve the patients’ negative emotions， social support， and knowledge and cognition of the disease.