Li, Y.; Dong, Q., and Sun, S., 2015. Dry port development in China: current status and future strategic directions.Dry ports have become integral to the trade facilitation in China in the last decade. They are playing important roles in facilitating transportation for international trade and further stimulating economic development in China's central and western inland areas. However, without a clear strategic direction, the institutional and regulatory framework for dry port development is shown to be at an immature and disordered state. This paper summarizes the current status of dry port development in China. Based on this, the study proposes a new dry port development strategic layout. We conclude that the dry port development strategy in China should be shifted from the pursuit of scale to efficiency. We also point out that, in order to avoid repetitive or blind construction, the dry ports' construction plan should be integrated into the layout of the port construction planning and comprehensive transportation system planning. The governors of dry ports should have a better understanding about the trend of the dry ports development in the world. For a long-term interest, we need to absorb investment through different ways to alleviate the capital pressure. By strengthening the cooperation relationships among the local governments, customs, inspection and quarantine departments, and the logistics enterprises, an innovative service mode should be built to create the value for the enterprises. Our study could shed light on the practice of port enterprises to improve quality service for winning more customers' trust and satisfaction. The strategic directions of dry port in China are also well discussed in our study.

BackgroundWhile it is known that inaccurate evaluation for retroperitoneal laparoscopic adrenalectomy (RPLA) can affect the surgical results of patients, no stable and effective prediction model for the procedure exists. In this study, we aimed to develop a computed tomography (CT) -based radiological-clinical prediction model for evaluating the surgical difficulty of RPLA.MethodData from 398 patients with adrenal tumors treated by RPLA in a single center from August 2014 to December 2020 were retrospectively analyzed and divided into sets. The influencing factors were selected by least absolute shrinkage and selection operator regression model (LASSO). Additionally, the nomogram was constructed. A receiver operating characteristic curve was used to analyze the prediction efficiency of the nomogram. The C-index and bootstrap self-sampling methods were used to verify the discrimination and consistency of the nomogram.ResultThe following 11 independent influencing factors were selected by LASSO: body mass index, diabetes mellitus, scoliosis, hyperlipidemia, history of operation, tumor diameter, distance from adrenal tumor to upper pole of kidney, retro renal fat area, hyperaldosteronism, pheochromocytoma and paraganglioma, and myelolipoma. The area under the curve (AUC) of the training set was 0.787, and 0.844 in the internal validation set. Decision curve analyses indicated the model to be useful. An additional 117 patients were recruited for prospective validation, and AUC was 0.848.ConclusionThis study developed a radiological-clinical prediction model proposed for predicting the difficulty of RPLA procedures. This model was suitable, accessible, and helpful for individualized surgical preparation and reduced operational risk. Thus, this model could contribute to more patients’ benefit in circumventing surgical difficulties because of accurate predictive abilities.

Purpose Identifying patients in whom adrenalectomy may be more difficult can help with surgical decision-making. This study investigated the perioperative factors affecting the difficulty of retroperitoneal laparoscopic adrenalectomy (RLA). Methods Sixty-eight patients who underwent RLA at our hospital between December 1, 2020 and May 1, 2021 were included. The difficulty of RLA was assessed by operating time and intraoperative blood loss. We analyzed the relationship between surgical difficulty and patient sex, age, and body mass index, pathological type, tumor side, tumor size, distance from the lower pole of the adrenal tumor to the upper pole of the kidney (DAK), and distance from the lower pole of the adrenal tumor to the renal pedicle (DARP). Results Mean operating time was 105.38 ± 33.31 min and mean intraoperative blood loss was 32.28 ± 22.88 ml. Univariate linear regression analysis showed that age (P = 0.047), tumor size (P = 0.002), DAK (P = 0.002), and DARP (P < 0.001) were significantly correlated with a longer operating time. Univariate logistic regression analysis showed that DARP (P = 0.001), DAK (P = 0.001), tumor size (P = 0.002), and age (P = 0.033) were significantly correlated with a longer operating time. Multivariate logistic regression indicated that DARP (OR 5.341; 95% CI 1.704–16.739; P = 0.004), and tumor size (OR 4.433; 95% CI 1.434–13.709; P = 0.010) were independent predictors of operating time. Conclusion Age, tumor size, DAK, and DARP were predictors of the difficulty of RLA. Older age, lower DARP and DAK, and a larger tumor size were associated with a longer operating time. DARP and tumor size were independent predictors of surgical difficulty.