[Construction of a Prognostic Prediction Model of Patients with Pathologic N0 
in Resected Invasive Mucinous Adenocarcinoma of the Lung].

BACKGROUND: Invasive mucinous adenocarcinoma (IMA) was a rare and specific type of lung adenocarcinoma, which was often characterized by fewer lymphatic metastases. Therefore, it was difficult to evaluate the prognosis of these tumors based on the existing tumor-node-metastasis (TNM) staging. So, this study aimed to develop Nomograms to predict outcomes of patients with pathologic N0 in resected IMA. METHODS: According to the inclusion criteria and exclusion criteria, IMA patients with pathologic N0 in The Affiliated Lihuili Hospital of Ningbo University (training cohort, n=78) and Ningbo No.2 Hospital (validation cohort, n=66) were reviewed between July 2012 and May 2017. The prognostic value of the clinicopathological features in the training cohort was analyzed and prognostic prediction models were established, and the performances of models were evaluated. Finally, the validation cohort data was put in for external validation. RESULTS: Univariate analysis showed that pneumonic type, larger tumor size, mixed mucinous/non-mucinous component, and higher overall stage were significant influence factors of 5-year progression-free survival (PFS) and overall survival (OS). Multivariate analysis further indicated that type of imaging, tumor size, mucinous component were the independent prognostic factors for poor 5-year PFS and OS. Moreover, the 5-year PFS and OS rates were 62.82% and 75.64%, respectively. In subgroups, the survival analysis also showed that the pneumonic type and mixed mucinous/non-mucinous patients had significantly poorer 5-year PFS and OS compared with solitary type and pure mucinous patients, respectively. The C-index of Nomograms with 5-year PFS and OS were 0.815 (95%CI: 0.741-0.889) and 0.767 (95%CI: 0.669-0.865). The calibration curve and decision curve analysis (DCA) of both models showed good predictive performances in both cohorts. CONCLUSIONS: The Nomograms based on clinicopathological characteristics in a certain extent, can be used as an effective prognostic tool for patients with pathologic N0 after IMA resection.

An esophagectomy surgical Apgar score-based nomogram-a risk-based postoperative triage system: a phase II randomised trial.

Background: The esophagectomy surgical Apgar score (eSAS) has been found to be a predictor of postoperative complications in esophagectomy. In our previous study, we built a graphic nomogram based on eSAS and demonstrated that it can effectively predict the risk of major morbidity after esophagectomy. In this study, we aimed to assess the benefits of using an eSAS-based nomogram model as a postoperative risk-based triage system for patients undergoing esophagectomy. Methods: We enrolled 119 patients diagnosed with esophageal carcinoma and randomly assigned them to a nomogram group (NG) or control group (CG) from January 2019 to December 2020. Patients in the NG were assigned to a low-risk group and high-risk group based on the nomogram. Patients in the high-risk group were admitted to the intensive care unit (ICU) after esophagectomy. Risk estimation in the CG patients was based on the surgeon's clinical experience. Thirty-day major complications, postoperative hospital stay, hospital costs, and quality of life (QOL) during the follow-up were compared between the two groups. Results: Baseline clinicopathological characteristics were comparable between the NG (n=58) and CG (n=61). All patients underwent esophagectomy. Postoperative complications were significantly higher in the CG (30, 49.2%) than in the NG (14, 24.1%) (P=0.008), with pneumonia being the most common (CG: 23, 37.7%; NG: 12, 20.7%; P=0.042). There was no significant difference in anastomotic leakage (NG: 1, 1.7%; CG: 6, 9.8%; P=0.12). Postoperative median hospital stay was shorter in the NG (14 days) than in the CG (16 days) (P=0.041). Hospital costs (NG: ¥60,045.1; CG: ¥63,961.5; P=0.21) and postoperative QOL did not differ significantly between groups. Conclusions: An eSAS-based nomogram as a triage system can reduce the overall occurrence of postoperative complications and shorten postoperative hospital stay without increasing hospital costs. Trial Registration: Chinese Clinical Trial Registry ChiCTR1900021636.