Objective:To investigate the risk factors for textbook outcomes (TO) of intra-hepatic cholangiocarcinoma (ICC) after hepatectomy.Methods:The retrospective cohort study was conducted. The clinicopathological data of 155 ICC patients who underwent hepatectomy in the First Affiliated Hospital of Sun Yat-sen University from September 2014 to August 2019 were collected. There were 90 males and 65 females, aged 60(range, 26?82)years. Observation indicators: (1) treatment situations; (2) TO situations; (3) analysis of risk factors for postoperative TO. Follow-up was conducted using outpatient examination and telephone interview to detect postoperative sur-vival of patients up to October 2020. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was analyzed using the independent samples t test. Measurement data with skewed distribution were represented as M(range), and comparison between groups was analyzed using the Mann-Whitney U test. Count data were described as absolute numbers, and comparison between groups was analyzed using the chi-square test, Yates' calibration chi-square test or Fisher exact probability. The Kaplan-Meier method was used to calculate survival rates and draw survival curves. The Log-rank test was used for survival analysis. The univariate analysis was conducted using the corresponding statistical methods based on data type. The Logistic regression model was used for multivariate analysis. The receiver operating characteristic (ROC) curve was used for evaluating the diagnostic value of indicators (the optimal cut-off value). Results:(1) Treatment situations. Of the 155 patients, 46 cases underwent minor hepatectomy and 109 cases underwent major hepatectomy. Twenty-one of the 155 patients underwent combined bile duct reconstruction. Ninety-five of the 155 patients underwent lymph node dissection, including 41 cases with positive lymph node by postoperative histopathological examinations. The operation time and volume of intraoperative blood loss of the 155 patients were 250.0(range, 95.0?720.0)minutes and 300.0(range, 50.0?15 000.0)mL, respectively. The optimal cut-off values of the operation time and volume of intraoperative blood loss for TO calculated by ROC curve were 247.5 minutes and 325.0 mL, respectively. Of the 155 patients, 44 cases received intraoperative blood transfusion and 10 cases received postoperative blood transfusion (5 cases with intraoperative and postoperative blood transfusion). Seventy-four of the 155 patients had postoperative complications, including 39 cases with mild complications and 35 cases with serious complications. The total duration of hospital stay of the 155 patients was 19 (range, 8?77)days. (2) TO situations. Of the 155 patients, 150 cases achieved R 0 resection, 120 cases had no major postoperative complications, 106 cases had no perioperative blood transfusion, 79 cases had no prolonged duration of hospital stay, 152 cases had no death within postoperative 30 days and 150 cases had no readmission within 30 days after discharge. Of the 155 patients, 56 cases achieved postoperative TO, while 99 patients did not achieve TO. (3) Analysis of risk factors for postoperative TO. Results of univariate analysis showed that preoperative biliary drainage, preoperative Child-Pugh grading of liver function, preoperative asymp-tomatic leukocytosis, preoperative total bilirubin, preoperative alkaline phosphatase, preoperative CA19-9, preoperative CA125, operation time, volume of intraoperative blood loss, tumor diameter, pathological T staging and pathological N staging were related factors for preoperative TO of ICC patients undergoing hepatectomy ( χ2=4.31, 4.31, 4.38, 4.80, Z=?4.15, χ2=10.74, 15.44, 16.59, 27.53, 6.53, 6.77, 9.26, P<0.05). Bile duct reconstruction was also a related factor for postoperative TO of ICC patients ( P<0.05). Results of multivariate analysis showed that preoperative biliary drainage, preoperative asymptomatic leukocytosis, preoperative CA19-9 >35 U/mL, preoperative CA125 >35 U/mL and volume of intraoperative blood loss >325.0 mL were independent risk factors for postoperative TO of ICC patients undergoing hepatectomy ( odds ratio=74.77, 11.73, 2.40,4.86, 6.42, 95% confidence intervals as 1.80?113.39, 1.19?115.54, 1.04?5.53, 1.78?13.26, 2.41?17.11, P<0.05). Conclusions:Preoperative biliary drainage, preoperative asymptomatic leukocytosis, preoperative CA19-9 >35 U/mL, preoperative CA125 >35 U/mL and volume of intraoperative blood loss >325.0 mL are independent risk factors for postoperative TO of ICC patients undergoing hepatectomy.

AIM: To evaluate the pathogenic variants of the SCO2(OMIM 604272)gene in patients with high myopia from Enshi Tujia and Miao Autonomous Prefecture of China.METHODS: A total of 384 patients with high myopia whose spherical refractive error was ≤ -6.00 D and whose axial length was ≥26.00 mm in at least one eye were recruited. DNA was extracted by the phenol-chloroform method from 5 mL of peripheral venous blood. Sanger sequencing was performed to identify pathogenic variants in exon 2 of SCO2. The detected variants were evaluated via in silico prediction software. A total of 288 people from the same district were included as the normal control cohort.RESULTS: Seven variants were detected, namely, four synonymous variants(c.201C>T/p.=, c.576C>T/p.=, c.633A>C/p.=, c.780T>C/p.=.), two missense variants(c.187A>G/p.Ile63Val, c.59G>C/p.Arg20Pro)and one nonsense variant(c.544C>T/p.Gln182*). The two missense variants were not damaging, as predicted by PolyPhen2, SIFT and Provean. The novel nonsense variant(c.544C>T/p.Gln182*)cannot be found in the 1000 Genomes Project and was not identified in 288 normal controls. Variant Taster suggested that the nonsense variant site was conserved.CONCLUSION: The newly identified nonsense mutation may be responsible for high myopia of the patients in our cohort. SCO2 is associated with high myopia, while the incidence of SCO2 variants in high myopia in this cohort was as low as 1/384; the nonsense mutation may be a scarce variant of high myopia in the Enshi Tujia and Miao Autonomous Prefecture of China.