Objective:To investigate the death risk of gastric cancer patients with different primary sites.Methods:The data of 35 263 gastric cancer patients from 2004 to 2015 were extracted from of the National Cancer Institute the Surveillance, Epidemiology, and End Results (SEER) database. According to the recorded causes of death, the treatment outcomes were classified into 3 categories: death from gastric cancer, death from non-gastric cancer and others. All included patients were grouped by age, gender, race, region, and marital status. Statistical analysis was conducted by using R 4.2.1 software to compare the composition of patients with different treatment outcomes at 3-year, 5-year, and 10-year in each factor subgroup. Univariate Fine-Gray competing model was used to analyze the cumulative incidence of death at 3-year, 5-year, and 10-year in gastric cancer patients with different primary sites. The 5 factors mentioned above were included in the multivariate Fine-Gray competing model to analyze the factors influencing the risk of death from gastric cancer in the entire population at 3-year, 5-year, and 10-year and in gastric cancer patients with different primary sites for 10 years in each factor subgroup after adjusting for demographic differences.Results:Among the entire population, there were 13 392 cases of cardia, 2 198 cases of gastric fundus, 4 510 cases of gastric body, 8 394 cases of antrum, 1 154 cases of pylorus, 3 633 cases of lesser curvature, and 1,982 cases of greater curvature. There were statistically significant differences in the composition of 3-year, 5-year, and 10-year treatment outcomes including death from gastric cancer, non-gastric cancer and other outcomes of gastric cancer patients stratified by different age, gender, race, region, marital status, and primary sites of tumors among subgroups (all P < 0.001). Univariate Fine-Gray model analysis showed that the cumulative incidence of death from gastric cancer was 29.0%, 30.9% and 31.6%, respectively at 3-year,5-year and 10-year after the confirmed diagnosis in gastric cancer patients with primary sites in the cardia, which was all lower than that in those with primary site in the gastric fundus (44.5%, 46.8%, 47.7%), the gastric body (49.1%, 46.8%, 53.5%), the antrum (51.4%, 54.7%, 56.1%), the pylorus (53.6%, 57.8%, 59.8%), the lesser curvature (44.4%, 48.4%, 50.0%), and the greater curvature (42.4%, 45.0%, 46.4%). Multivariate Fine-Gray model analysis showed that the 3-year, 5-year, and 10-year mortality risks of gastric cancer patients with the primary site in the cardia were all lower than those of patients with the primary sites in other locations (all HR > 1, P < 0.001); taking the 10-year death from gastric cancer as an example, the death risks of gastric cancer patients with the primary site in the fundus ( HR = 1.74, 95% CI: 1.62-1.86), gastric body ( HR = 2.03, 95% CI: 1.93-2.14), gastric antrum ( HR = 2.13, 95% CI: 2.04-2.23), pylorus ( HR = 2.28, 95% CI: 2.11-2.47), lesser curvature ( HR = 1.76, 95% CI: 1.67-1.86), and greater curvature ( HR = 1.64, 95% CI: 1.53-1.76) were all higher than those of patients with primary site in the cardia (all P < 0.001). The results of subgroup multivariate Fine-Gray model analysis showed that there were no statistically significant differences in the 10-year death risk of gastric cancer between gastric cancer patients with other primary sites and patients with primary site in the cardia in the age group under 30 years (gastric fundus, gastric body, gastric antrum, lesser curvature, greater curvature), the black group (gastric fundus and lesser curvature) and other races group (gastric fundus, greater curvature and lesser curvature)(all P > 0.05); the results of other subgroups were the same as those of the entire population, namely, the 10-year risk of death from gastric cancer in patients with primary site in the cardia was lower than that in patients without primary site in the cardia (all HR > 1, P < 0.05). Conclusions:In SEER database, the patients with primary site in the cardia has a lower risk of death from gastric cancer compared to those with other primary sites.

Objective:Predictive modelling of risk of cancer-related cognitive impairment (CRCI) in lung cancer patients from the perspective of precision health in nursing science.Methods:Prospectively collected lung cancers treated in the Department of Respiratory Medicine of Affiliated Nanjing Brain Hospital, Nanjing Medical University from October 2023 to April 2024 as study subjects by a convenience samphing method. Lasso regression was used to screen the characteristic variables and construct the prediction model, and the predictive ability was evaluated by the AUC of the subjects′operating characteristics; Bootstrap resampling (1 000 times) internal validation of the model; the Hosmer-Lemeshow goodness-of-fit test was performed and the calibration curve was plotted to evaluate the calibration of the model; the clinical validity of the model was evaluated by decision cure analysis (DCA).Results:A total of 142 patients with lung cancer were included, 94 males and 38 females. The incidence of CRCI in lung cancer patients was 69.7%(99/142). Lasso regression showed that age(≥65), education, tumor stage, serum albumin, and PLR were independent risk factors for CRCI (coefficients of 0.372 048 72, - 0.361 265 78, 0.068 728 00, - 0.039 940 32, 0.001 639 92 respectively). The model AUC was 0.874 (95% CI: 0.815-0.933), with a sensitivity of 0.768, and a specificity of 0.860; the H-L goodness-of-fit test showed good agreement ( χ2 = 4.51, P>0.05), and Bootstrap re-sampling internal validation showed an AUC of 0.826. Calibration curves showed good agreement and accuracy between the model predicted probabilities and the actual observed probabilities. DCA showed that the model had clinical benefit when the threshold probability was approximately>25%. Conclusions:The CRCI column-line diagram risk model constructed in this study has good predictive efficacy and can effectively predict the occurrence of CRCI in lung cancer patients.

Objective:Predictive modelling of risk of cancer-related cognitive impairment (CRCI) in lung cancer patients from the perspective of precision health in nursing science.Methods:Prospectively collected lung cancers treated in the Department of Respiratory Medicine of Affiliated Nanjing Brain Hospital, Nanjing Medical University from October 2023 to April 2024 as study subjects by a convenience samphing method. Lasso regression was used to screen the characteristic variables and construct the prediction model, and the predictive ability was evaluated by the AUC of the subjects′operating characteristics; Bootstrap resampling (1 000 times) internal validation of the model; the Hosmer-Lemeshow goodness-of-fit test was performed and the calibration curve was plotted to evaluate the calibration of the model; the clinical validity of the model was evaluated by decision cure analysis (DCA).Results:A total of 142 patients with lung cancer were included, 94 males and 38 females. The incidence of CRCI in lung cancer patients was 69.7%(99/142). Lasso regression showed that age(≥65), education, tumor stage, serum albumin, and PLR were independent risk factors for CRCI (coefficients of 0.372 048 72, - 0.361 265 78, 0.068 728 00, - 0.039 940 32, 0.001 639 92 respectively). The model AUC was 0.874 (95% CI: 0.815-0.933), with a sensitivity of 0.768, and a specificity of 0.860; the H-L goodness-of-fit test showed good agreement ( χ2 = 4.51, P>0.05), and Bootstrap re-sampling internal validation showed an AUC of 0.826. Calibration curves showed good agreement and accuracy between the model predicted probabilities and the actual observed probabilities. DCA showed that the model had clinical benefit when the threshold probability was approximately>25%. Conclusions:The CRCI column-line diagram risk model constructed in this study has good predictive efficacy and can effectively predict the occurrence of CRCI in lung cancer patients.

Objective:To investigate the death risk of gastric cancer patients with different primary sites.Methods:The data of 35 263 gastric cancer patients from 2004 to 2015 were extracted from of the National Cancer Institute the Surveillance, Epidemiology, and End Results (SEER) database. According to the recorded causes of death, the treatment outcomes were classified into 3 categories: death from gastric cancer, death from non-gastric cancer and others. All included patients were grouped by age, gender, race, region, and marital status. Statistical analysis was conducted by using R 4.2.1 software to compare the composition of patients with different treatment outcomes at 3-year, 5-year, and 10-year in each factor subgroup. Univariate Fine-Gray competing model was used to analyze the cumulative incidence of death at 3-year, 5-year, and 10-year in gastric cancer patients with different primary sites. The 5 factors mentioned above were included in the multivariate Fine-Gray competing model to analyze the factors influencing the risk of death from gastric cancer in the entire population at 3-year, 5-year, and 10-year and in gastric cancer patients with different primary sites for 10 years in each factor subgroup after adjusting for demographic differences.Results:Among the entire population, there were 13 392 cases of cardia, 2 198 cases of gastric fundus, 4 510 cases of gastric body, 8 394 cases of antrum, 1 154 cases of pylorus, 3 633 cases of lesser curvature, and 1,982 cases of greater curvature. There were statistically significant differences in the composition of 3-year, 5-year, and 10-year treatment outcomes including death from gastric cancer, non-gastric cancer and other outcomes of gastric cancer patients stratified by different age, gender, race, region, marital status, and primary sites of tumors among subgroups (all P < 0.001). Univariate Fine-Gray model analysis showed that the cumulative incidence of death from gastric cancer was 29.0%, 30.9% and 31.6%, respectively at 3-year,5-year and 10-year after the confirmed diagnosis in gastric cancer patients with primary sites in the cardia, which was all lower than that in those with primary site in the gastric fundus (44.5%, 46.8%, 47.7%), the gastric body (49.1%, 46.8%, 53.5%), the antrum (51.4%, 54.7%, 56.1%), the pylorus (53.6%, 57.8%, 59.8%), the lesser curvature (44.4%, 48.4%, 50.0%), and the greater curvature (42.4%, 45.0%, 46.4%). Multivariate Fine-Gray model analysis showed that the 3-year, 5-year, and 10-year mortality risks of gastric cancer patients with the primary site in the cardia were all lower than those of patients with the primary sites in other locations (all HR > 1, P < 0.001); taking the 10-year death from gastric cancer as an example, the death risks of gastric cancer patients with the primary site in the fundus ( HR = 1.74, 95% CI: 1.62-1.86), gastric body ( HR = 2.03, 95% CI: 1.93-2.14), gastric antrum ( HR = 2.13, 95% CI: 2.04-2.23), pylorus ( HR = 2.28, 95% CI: 2.11-2.47), lesser curvature ( HR = 1.76, 95% CI: 1.67-1.86), and greater curvature ( HR = 1.64, 95% CI: 1.53-1.76) were all higher than those of patients with primary site in the cardia (all P < 0.001). The results of subgroup multivariate Fine-Gray model analysis showed that there were no statistically significant differences in the 10-year death risk of gastric cancer between gastric cancer patients with other primary sites and patients with primary site in the cardia in the age group under 30 years (gastric fundus, gastric body, gastric antrum, lesser curvature, greater curvature), the black group (gastric fundus and lesser curvature) and other races group (gastric fundus, greater curvature and lesser curvature)(all P > 0.05); the results of other subgroups were the same as those of the entire population, namely, the 10-year risk of death from gastric cancer in patients with primary site in the cardia was lower than that in patients without primary site in the cardia (all HR > 1, P < 0.05). Conclusions:In SEER database, the patients with primary site in the cardia has a lower risk of death from gastric cancer compared to those with other primary sites.

Objective To investigate the clinical value of multi-slice spiral CT in the evaluation of esophageal variceal bleeding .Methods 50 cirrhosis patients with esophageal varices received multi-slice spiral CT and gastroscopy detection .The application value of multi-slice CT in the assessment of esophageal bleeding was evaluated according to the results of gastroscopy detection .Results CT angiography score had significantly positive correlation with the severity of endoscopic varices and endoscopic red color sign (r=0.762,0.687,all P<0.01).The sensitivity and specificity of CT angiography score in diagnosis of endoscopic red signs RC 3 were 76.92% and 92.50%. Conclusion The results of multi-slice CT and gastroscopy are positively correlated with the severity of esophageal varices,which can be used to predict the risk of esophageal bleeding .