Objective To explore the effect of sequential nutritional intervention mode on improving early postoperative nutritional status in patients with gastric cancer. Methods A total of 30 patients who underwent radical gastrectomy for gastric cancer in the Department of Gastrointestinal Surgery, Ningbo No.2 Hospital between June and August 2022 were selected as the tiral group by convenience sampling, and another 30 patients who underwent radical gastrectomy for gastric cancer between September 2021 and January 2022 were retrospectively selected as the control group. The trial group received the sequential nutritional intervention model constructed by quality control circle activities in the Department of Gastrointestinal Surgery, and the control group received routine nutritional support. The nutritional status and quality of life of the two groups were evaluated one month after discharge. Results Before intervention, there was no statistically significant difference in the Patient-Generated Subjective Global Assessment (PG-SGA) score, serum albumin, serum prealbumin, body weight, or Quality of Life Questionnaire Core 30 (QLQ C30) score between the two groups (P>0.05). After intervention, both groups showed improvements in PG-SGA score, serum albumin, and serum prealbumin compared to before intervention (P<0.05); there was no significant change in body weight in the trial group (P>0.05), while the control group experienced a decrease in body weight (P<0.05); the trial group showed an improvement in QLQ C30 score (P<0.05), whereas the control group did not show significant change in QLQ C30 score (P>0.05). Compared to the control group after intervention, the trial group showed better PG-SGA score (7.97±1.65 vs. 8.83±1.26), serum albumin level [(40.61±1.30) vs. (39.93±0.78) g/L], serum prealbumin level [(0.266±0.030) vs. (0.229±0.051) g/L], body weight [(63.12±7.39) vs. (58.17±9.18) kg], and QLQ C30 score (62.63±9.01 vs. 57.23±7.13), with all differences being statistically significant (P<0.05). Conclusion Sequential nutritional intervention model is helpful to improve the early nutritional status and quality of life of patients after radical gastrectomy, and has clinical promotion value.
Objective To explore the correlation between the quantitative and qualitative features of CT images and the invasiveness of pulmonary ground-glass nodules, providing reference value for preoperative planning of patients with ground-glass nodules. MethodsThe patients with ground-glass nodules who underwent surgical treatment and were diagnosed with pulmonary adenocarcinoma from September 2020 to July 2022 at the Third Affiliated Hospital of Kunming Medical University were collected. Based on the pathological diagnosis results, they were divided into two groups: a non-invasive adenocarcinoma group with in situ and minimally invasive adenocarcinoma, and an invasive adenocarcinoma group. Imaging features were collected, and a univariate logistic regression analysis was conducted on the clinical and imaging data of the patients. Variables with statistical difference were selected for multivariate logistic regression analysis to establish a predictive model of invasive adenocarcinoma based on independent risk factors. Finally, the sensitivity and specificity were calculated based on the Youden index. Results A total of 555 patients were collected. The were 310 patients in the non-invasive adenocarcinoma group, including 235 females and 75 males, with a meadian age of 49 (43, 58) years, and 245 patients in the invasive adenocarcinoma group, including 163 females and 82 males, with a meadian age of 53 (46, 61) years. The binary logistic regression analysis showed that the maximum diameter (OR=4.707, 95%CI 2.060 to 10.758), consolidation/tumor ratio (CTR, OR=1.027, 95%CI 1.011 to 1.043), maximum CT value (OR=1.025, 95%CI 1.004 to 1.047), mean CT value (OR=1.035, 95%CI 1.008 to 1.063), spiculation sign (OR=2.055, 95%CI 1.148 to 3.679), and vascular convergence sign (OR=2.508, 95%CI 1.345 to 4.676) were independent risk factors for the occurrence of invasive adenocarcinoma (P<0.05). Based on the independent predictive factors, a predictive model of invasive adenocarcinoma was constructed. The formula for the model prediction was: Logit(P)=–1.293+1.549×maximum diameter of lesion+0.026×CTR+0.025×maximum CT value+0.034×mean CT value+0.72×spiculation sign+0.919×vascular convergence sign. The area under the receiver operating characteristic curve of the model was 0.910 (95%CI 0.885 to 0.934), indicating that the model had good discrimination ability. The calibration curve showed that the predictive model had good calibration, and the decision analysis curve showed that the model had good clinical utility. Conclusion The predictive model combining quantitative and qualitative features of CT has a good predictive ability for the invasiveness of ground-glass nodules. Its predictive performance is higher than any single indicator.