ObjectiveTo analyze the details and efficacy of neoadjuvant therapy of colorectal cancer in the current version of Database from Colorectal Cancer (DACCA).MethodsThe DACCA version selected for this data analysis was the updated version on July 28th, 2020. The data items included “planned strategy of neoadjuvant therapy” “compliance of neoadjuvant therapy”, and “cycles of neoadjuvant therapy”. Item of “planned strategy of neoadjuvant therapy” included “accuracy of neoadjuvant therapy” and “once included in researches”. Item of “the intensity of neoadjuvant therapy” included “chemotherapy” “cycles of neoadjuvant therapy” “targeted drugs”, and “neoadjuvant radiotherapy”. Item of “effect of neoadjuvant therapy” included CEA value of “pre-neoadjuvant therapy” and “post-neoadjuvant therapy”“variation of tumor markers” “variation of symptom” “variation of gross” “variation of radiography”, and tumor regression grade (TRG). The selected data items were statistically analyzed.ResultsThe total number of medical records (data rows) that met the criteria was 7 513, including 2 539 (33.8%) valid data on the “accuracy of neoadjuvant therapy”, 498 (6.6%) valid data on “once included in researches”, 637 (8.5%) valid data on the “compliance of neoadjuvant therapy”, 2 077 (27.6%) valid data on “neoadjuvant chemotherapy”, 614 (8.2%) valid data on “cycles of neoadjuvant therapy”, 455 (6.1%) valid data on “targeted drugs”, 135 (1.8%) valid data on “neoadjuvant radiotherapy”, 5 022 (66.8%) valid data on “pre-neoadjuvant therapy CEA value”, 818 (10.9%) valid data on “post-neoadjuvant therapy CEA value ”, 614 (8.2%) valid data on “variation of tumor marker”, 464 (6.2%) valid data on “variation of symptom”, 478 (6.4%) valid data on “variation of gross”, 492 (6.5%) valid data on “variation of radiography”, and 459 (6.1%) valid data on TRG. During the correlation analysis, it appeared that “variation of tumor marker” and “variation of gross” (χ2=6.26, P=0.02), “variation of symptom” and “variation of gross”, “radiography” and TRG (χ2=53.71, P<0.01; χ2=38.41, P<0.01; χ2=8.68, P<0.01), “variation of gross” and “variation of radiography”, and TRG (χ2=44.41, P<0.01; χ2=100.37, P<0.01), “variation of radiography” and TRG (χ2=31.52, P<0.01) were related with each other.ConclusionsThe protocol choosing of neoadjuvant therapy has a room for further research and DACCA can provide data support for those who is willing to perform neoadjuvant therapy. The efficacy indicators of neoadjuvant therapy have association with each other, the better understand of it will provide more valuable information for the establishment of therapeutic prediction model.
ObjectiveTo analyze the risks and complications after operation of colorectal cancer in the current version of Database from Colorectal Cancer (DACCA).MethodsThe DACCA version selected for this data analysis was the updated version on July 28th, 2020. The data items included surgery reaction, body temperature, flatus, pain and mental status; preoperative complication, postoperative complication, short-term and long-term complication. The selected data items were statistically analyzed.ResultsThe total number of medical records (data rows) that met the criteria was 6 422, including 4 185 (65.2%) valid data on surgery reaction, 3 833 (59.7%) valid data on body temperature, 3 835 (59.7%) valid data on flatus, 3 597 (56.0%) valid data on pain, 3 551 (55.3%) valid data on mental status, 6 422 (100%) valid data on preoperative complications, postoperative complications, short-term complications and long-term complications. In the surgical response, 1 517 (36.2%) lines of data showed “normal” structure were the most. Among the days with elevated body temperature, the number of 0-day data lines with the structure of “body temperature >37.5 ℃” was the highest, with 1 980 (51.7%). In postoperative flatus, there were 1 675 (43.7%) data lines with the structure showing “3 days”. The largest number of rows (2 755, 76.6%) showed a structure that was “not obvious” in the pain scale. The mental status showed the highest number of “better” rows (2 976, 83.8%). There were 50 preoperative complications (0.8%). And 595 postoperative complications (9.3%), including anastomotic leakage (80, 13.4%), inflammatory ileus (62, 10.4%), pulmonary infection (57, 9.6%), and anastomotic bleeding (56, 9.4%), etc. There were 6 169 (96.1%) without short-term complication in structural form. There were 6 283 (97.8%) without long-term complications.ConclusionsThe changes in complications shown in the real world data from DACCA suggest that the focus of postoperative risks must be changed with the over the follow-up time. As for the complication evaluation system, it is necessary to establish a complete evaluation system combining the corresponding types and risks, to carry out valuable complication researches.
ObjectiveTo analyze the tumor characteristics of colorectal cancer in the current version of Database from Colorectal Cancer (DACCA).MethodsThe DACCA version was the updated version on April 16, 2020. The data items including: procedure of anastomosis, shape of anastomosis, enhanced suture for anastomosis, stuffing, drainage, coverage of major omentum, anti-adhesion material, reconstruction of pelvic peritoneum, contaminate, and drug implants were analyzed for the characteristics of each selected data item.ResultsA total of 6 338 analyzable data rows were obtained by screening the DACCA database. Among the 6 338 pieces of data, the most common one was the double staple technique (58.1%), end-to-end anastomosis (69.4%), one-total-circle of enhancement (33.2%), and without stuffing (54.1%) in the items of procedure of anastomosis, shape of anastomosis, enhanced suture for anastomosis, stuffing, respectively; the ratio with drainage was higher (79.2%) in the term of drainage, the drainage time was (3.74±2.89) d and median drainage time was 3.00 d; the ratio with covering part of major omentum, without anti-adhesion material, with unilateral partial closure, without contaminate, and without drug implants were more higher, which was 41.1%, 79.8%, 58.7%, 73.9%, and 53.9% in the items of coverage of major omentum, anti-adhesion material, reconstruction of pelvic peritoneum, contaminate, and drug implants, respectively.ConclusionIt might better explain the outcome of surgery associated with intraoperative operation by studying the features of surgery of DACCA and guide the operation in the future for better outcomes.
In the context of informatization and digitization, medical big data has become crucial for promoting medical research and technological innovation, posing unprecedented challenges to the construction and operation of big data research supercomputing platforms. This article systematically elaborates on the construction plan of the scientific research supercomputing platform of the West China Biomedical Big Data Center of Sichuan University, as well as the management and service models that support data research. It also compares the scale and operation of existing scientific research supercomputing platforms at home and abroad, providing a reference for the construction and management of medical big data scientific research supercomputing platforms in other institutions.
Objective To analyze the basic characteristics of hospitalized patients with colorectal cancer (CRC), to estimate the hospitalization scale, medical resource utilization, and cross-regional hospitalization of CRC inpatients in Sichuan Province, which will provide data support for scientifically formulating colorectal cancer medical resource allocation measures. Methods Based on the hospital discharge records of CRC inpatients collected from secondary hospitals and tertiary hospitals in Sichuan Province between 2015 and 2019, descriptive statistical analysis was performed and the cross-geographical hospitalizations was visualized using a directed network. Results During the study period, the number of CRC inpatients and hospitalizations increased with time. The average age of CRC inpatients in 2019 was 65.1 years, an increase of 1.5 years in the 5-year-period. The proportion of men was relatively high (about 60.1%) and remained stable in the 5-year-period. The median length-of-stay of CRC inpatients per year was 25 days (IQR: 13 days, 45 days), and inpatients in urban areas were 2 days longer than that in rural areas. The median hospitalization cost of CRC inpatients per year was 32 900 yuan (IQR: 11 200 yuan, 59 300 yuan), men were 500 yuan higher than women, and patients in urban areas were 9 900 yuan higher than that in rural areas. From 2016 to 2019, 13.9% hospitalizations (59 512 hospitalizations) were cross-geographical hospitalizations, where Chengdu had the lowest outflow rate (1.0%) and the highest inflow rate (29.3%). Conclusions CRC inpatients showed an aging trend, and the number of hospitalizations and annual hospitalization costs increased year by year. Cross-geographical hospitalizations mainly flow to the provincial medical center and a small part flow to the regional medical centers.
Objective To analyze the impact of body mass index (BMI) on tumor characteristics of colorectal patients served by West China Hospital as a regional center in the current version of Database from Colorectal Cancer (DACCA). MethodsThe data of DACCA was updated on October 16, 2021. All data items included BMI, precancerous lesions, cancer family, tumor site, tumor morphology, location, differentiation, pathological properties of tumor, obstruction, overlap, perforation, pain, edema, and bleeding. The patients were divided into lean (BMI<18.5 kg/m2), normal (BMI 18.5–23.9 kg/m2), overweight (BMI 24.0–27.9 kg/m2) and obesity (BMI≥28.0 kg/m2) by Chinese classification methods. ResultsAfter scanning, 5 761 data rows were analyzed. Chi-square test showed that there was significant difference in the type composition ratio of tumor location in colorectal cancer patients under different BMI groups (χ2=31.477, P<0.001). Rank sum test showed that there was significant difference in the degree of obstruction (H=42.490, P<0.001), intussusception (H=8.179, P=0.042), edema (H=14.795, P=0.002), and bleeding (H=9.884, P=0.020) among different BMI groups. ConclusionsThe BMI classification of colorectal cancer patients is related to the location of tumor and the occurrence of some tumor complications. Patients with tumor involving intestinal lumens for one week are more likely to have low BMI. The patients with low BMI are more likely to have severe bleeding, obstruction, intestinal intussusception, and severe intestinal wall edema.
ObjectiveTo analyze the characteristics of adjuvant treatment of colorectal cancer in the Database from Colorectal Cancer (DACCA).MethodsThe informations in the DACCA database were screened, including adjuvant therapy (adjuvant strategy, compliance), adjuvant chemotherapy (indication selection, acceptance, actual cycles of chemotherapy, effect, and standardized application), adjuvant radiotherapy (indication selection, acceptance, and effect), and targeted therapy (uses of oral and intravenous targeted drugs). The data that at least one of items must not be “empty” were selected.ResultsA total of 3 955 data items were analyzed for colorectal cancer adjuvant therapy. ① The highest data composition ratio of “planned strategy of adjuvant therapy” and “compliance of adjuvant therapy” was “adjuvant therapy” (35.6%, 929/2 611) and “coordination” (28.1%, 664/2362), respectively. ② The highest data composition ratios of “indication of chemotherapy”, “acceptance of chemotherapy”, “cycles of chemotherapy”, “effect of chemotherapy”, and “chemotherapy based guidelines” were “must” (38.6%, 1 140/2 963), “rejection” (53.1%, 1 373/2 586), “6-cycle adjuvant chemotherapy” (12.4%, 338/2 722), “stability” (59.9%, 618/1031), and “standardization” (78.6%, 903/1 149). There was an obvious relationship between the planned strategy of adjuvant chemotherapy and the final acceptance of chemotherapy (χ2=505.262, P<0.001), that was, when the planned strategy of adjuvant chemotherapy was “optional”, the proportion of final rejection was very high (89.0%, 137/154). ③ The highest data composition ratios of “indication of radiation”, “acceptance of radiation”, and “effect of radiation” were “unnecessary” (49.1%, 1 423/2 915), “rejection” (93.8%, 2 629/2 803), and “stability” (38.1%, 45/118). There was a correlation between the planned strategy of adjuvant radiotherapy and the final acceptance of radiotherapy (χ2=139.593, P<0.001), that was, when the patients who should receive radiotherapy had not high acceptance (10.6%, 127/1 194), and the patients who should select optional radiotherapy all refused radiotherapy (100%).④ The data composition ratios of “none” of oral and intravenous targeted therapy drugs in targeted therapy were the highest, at 84.2% (2 121/2 520) and 73.3% (206/281), respectively. ConclusionBy expounding the characteristics of the current adjuvant treatment of colorectal cancer in DACCA, it provides a reference for the adjuvant treatment of colorectal cancer.
In recent years, day surgery has developed rapidly in China. Day surgery management has shifted from extensive to refined, but there are still many problems in the service system of day surgery in Chinese hospitals. In order to further optimize the allocation of medical resources, improve the level of medical service capacity, and build a “patient-centered, safe, efficient, and orderly” day surgery service system, Northern Jiangsu People’s Hospital has integrated big data, mobile internet, and artificial intelligence since 2019, creating a smart information big data platform. This paper summarizes the experience of Northern Jiangsu People’s Hospital in promoting the high-quality development of day surgery services in the whole hospital from five aspects of top-level design, diagnostic and therapeutic process, medical quality and safety, medical supporting services, and supervision mechanism, with a view to providing reference for the implementation of overall management of day surgery in the hospital.
ObjectiveTo describe the difficulties and quality evaluation of colorectal cancer surgical procedures in the West China Colorectal Cancer Database (DACCA).MethodWe used the form of text description.ResultsThe related content modules of DACCA operation in West China Hospital, included operator, operative duration, anatomy (anatomical difficulty), pelvis (pelvic stenosis), obesity (abdominal obesity), adhesion (adhesion in surgical area), mesentery (abnormal mesenteric status), hypertrophy (tissue hypertrophy or organ hypertrophy), intestinal quality, death (risk of death), injury (risk of tissue injury), recurrence (tumor recurrence), metastasis (tumor metastasis), anastomotic leakage (risk of anastomotic leakage), difficulty of operation, prognosis, and quality of operation, were elaborated. Then the surgical characteristics were detailed for their definition, label, structure, error correction, and update.ConclusionThrough detailed description and specification of surgical difficulties and quality evaluation of colorectal cancer in DACCA in West China Hospital, it can provide a reference for standardized treatment of colorectal cancer and also provide experiences for the peers who wish to build a colorectal cancer database.
ObjectiveTo analyze the follow-up data of colorectal cancer in the Database from Colorectal Cancer (DACCA).MethodsThe information in the Dacca database was screened, and the one whose operative date and follow-up date were not blank in the total data was selected. The follow-up data were analyzed, including length of follow-up, survival outcomes, coping styles (doctors’ attitude and reaction for follow-up), follow-up path (whether to choose out-patient, Wechat, QQ tools, phone call, text message, mobile application, face-to-face), the number of follow-up (the number of out-patient follow-up, the number of telephone follow-up, and the number of follow-up within 5 years).ResultsA total of 6 437 data items were analyzed for colorectal cancer adjuvant follow-up. ① The follow-up period of five years (2004–2015) was 56.6% (3 642/6 437), and the follow-up time was 0–201, 67 (26, 97) months. ② The highest data composition ratio of survival outcomes was “Survival” (79.7%, 4 611/5 787), and in the data with five-year follow-up period (2004–2015), the highest data composition ratio of survival outcomes was “Survival” (75.0%, 2 550/3 401), and the survival rate of the five-year follow-up period in 2008 was the highest (91.4%, 235/257). ③ The highest data composition ratio of the coping styles was the doctors’ active follow-up (76.8%, 2 121/2 762). ④ The highest data composition ratio of the follow-up path was out-patient service (90.6%, 4 236/4 676). ⑤ The highest data composition ratio of the number of out-patient follow-up was conducted by the original surgical team (100%, 4 380/4 380), the specific number was 0–130、5 (2, 10) times. The data composition ratio of telephone follow-up was 86.9% (3 808/4 380) and the specific number was 0–68、0 (0, 1) times. The highest frequency of follow-up was in the first year (89.9%, 3 044/3 386) and the specific number was 0–73、5 (3, 9) times.ConclusionBy expounding the characteristics of the colorectal cancer follow-up from colorectal cancer in DACCA, it provides some references for using big data to determine prognosis.