Abstract PR409

Abstract

Background & Objectives: With growing aging populations and increasing unmber of patients undergoing surgery, there are increased surgical complications that may not only influence quality of life of the patients but also cause additional economic burden to the family. A large number of clinical data are available nowaday, especially for elderly patients. However, these data have not been well developed for bettter perioperative management of the patients. All these may shed light on the potential role of real world big data study (RWBDS) of elderly patients in better evaluation and management of perioperative patients. It is of major importance to take advantage of large clincal data so as to obtain useful information for prognostic improvement of aged patients, which is also in line with the principles of health care economics. As an important part of a large clinical database, the perioperative database may provide solid and reliable basis for clinical practice. Therefore, we propose to establish a Perioperative Management and Outcome database of elderly patients so as to better management and improve the prognosis of elderly patients that scheduled for surgery. Our study may also provide evidence for future research and medical decision making. Materials & Methods: This is a multicenter, prospective, observational study in China. It is sponsored by Perioperative database project for geriatric patient information of Anesthesia of Chinese Society of Anesthesiology in South Center. Approximately 5,000 patients with gastrointestinal cancer (≥60 years) that scheduled for elective surgery will be selected from seven to ten large tertiary hospitals during April 2016 to May 2017. Clinical data, including age, gender, body mass index (BMI), medical history, anesthesia assessment, compound disease and etc, will be eatracted prospectively from the web-based registry form at preoperative days 2-7. The perioperative parameters and potential complications will be monitored on preoperative day 1, intraoperatively, and on postiperative day 7 or at the time of discharge of the patients. The patients will be followed up for clinical status and complications at 1, 6 and 12 months by phone call. Statistical analysis will be performed to identify the potential factors that influence the prioperative management and prognosis of the patients. Results: The primary endpoints of the study are the mortality and incidence of complications after surgery. The secondary end-points include cognitive function and quality of life of the patients on postoperative day 30, as well as potential prognostic factors. Conclusion: Perioperative Management and Outcome database of old patients is a large-scale nationwide registry in China. Rich data obtained from this prospective registry may help to evaluate the quality of perioperative care and thus provide better clinical care of elderly patients in China. Disclosure of Interest: None declared