| Unique ID issued by UMIN | UMIN000015758 |
|---|---|
| Receipt number | R000018329 |
| Scientific Title | Comparative evaluation of postoperative mortality prediction models, CORES and NSQIP, in patients with emergency digestive surgery. |
| Date of disclosure of the study information | 2014/11/28 |
| Last modified on | 2017/11/28 09:53:09 |
Comparative evaluation of postoperative mortality prediction models, CORES and NSQIP, in patients with emergency digestive surgery.
CORES & NSQIP
Comparative evaluation of postoperative mortality prediction models, CORES and NSQIP, in patients with emergency digestive surgery.
CORES & NSQIP
| Japan |
Digestive surgery diseases requiring emergency operations
| Surgery in general | Gastrointestinal surgery | Hepato-biliary-pancreatic surgery |
Malignancy
NO
This study is undertaken to investigate the efficacy of postoperative mortality prediction models, CORES and NSQIP, in patients who required emergency digestive surgery in a prospective manner. In addition, we will evaluate the possibility of surgical audit between centers using these models.
Efficacy
Postoperative 30-day mortality
In-hospital mortality, postoperative complications, surgical site infections, length of ICU stay
Observational
| 15 | years-old | <= |
| Not applicable |
Male and Female
Patients are included who require emergency operations for disorders of gastrointestinal tract, liver, biliary tract, pancreas, spleen, or peritoneum. Emergency operations are defined as operations in which the surgeons or anesthesiologists judge to start within 24 hours from arrival to improve the prognosis.
The following patients are excluded;
(1) The patients who receive no treatment via exploratory laparotomy or laparoscopy.
(2) The patients the primary disease of whom are found to be in other fields than digestive disorders during the operations, such as pyometra, bladder necrosis, or rupture of abdominal aortic aneurysm.
(3) The patients who are judged as ASA physical status V; a moribund person who is not expected to survive without the operation.
(4) The patients who already admitted in the hospital and develop the new digestive disorders for emergency operations. For example, the patients had received colectomy and developed abdominal abscess for emergency operation.
2000
| 1st name | |
| Middle name | |
| Last name | Yoshio Haga |
National Hospital Organization Kumamoto Medical Center
Institute for Clinical Research
1-5 Ninomaru, Chuo-ku, Kumamoto 8600008, Japan
096-353-6501
yoshio@kumamed.jp
| 1st name | |
| Middle name | |
| Last name | Mikiko Kubo |
National Hospital Organization Kumamoto Medical Center
Center for Clinical Research
1-5 Ninomaru, Chuo-ku, Kumamoto 8600008, Japan
096-353-6501
http://www.nho-kumamoto.jp/medical/clinical-research/cr-observational/cores-nsqip.html
m-kubo@hosp.go.jp
National Hospital Organization Kumamoto Medical Center
National Hospital Organization (NHO)
Other
NHO Sendai Medical Center, NHO Mito Medical Center, NHO Takasaki General Medical Center, NHO Matsumoto Medical Center, NHO Nagoya Medical Center, NHO Kyoto Medical Center, NHO Osaka Medical Center, NHO Osaka Minami Medical Center, NHO Kure Medical Center, NHO Higashihiroshima Medical Center, NHO Kanmon Medical Center, NHO Iwakuni Clinical Center, NHO Kyushu Medical Center, NHO Fukuoka Higashi Medical Center, NHO Ureshino Medical Center, NHO Beppu Medical Center, NHO Miyakonojo Hospital, NHO Kagoshima Medical Center
NO
| 2014 | Year | 11 | Month | 28 | Day |
Unpublished
No longer recruiting
| 2014 | Year | 10 | Month | 08 | Day |
| 2014 | Year | 12 | Month | 01 | Day |
| 2016 | Year | 12 | Month | 31 | Day |
| 2017 | Year | 03 | Month | 20 | Day |
| 2017 | Year | 12 | Month | 31 | Day |
| 2018 | Year | 03 | Month | 31 | Day |
1. Study design is a multicenter prospective cohort study.
2. Data to be collected
1) Preoperative data: age, gender, smoking habit, comorbidity (metastatic malignant disease, diabetes mellitus, hypertension, heart failure, sepsis, acute renal failure, use of hemodialysis, use of artificial ventilation, severe COPD, use of steroid), past history of major heart disease or heart surgery, respiratory distress, ADL, height, weight, Japan coma scale, systolic blood pressure, pulse rate, body temperature, respiratory rate, laboratory findings (WBC, immature neutrophils, platelets, BUN, total bilirubin level, creatinine, PaCO2), ascites by image tests, ASA physical status classification
2) Operative findings: wound class, surgical procedures, operation time
3) Data on discharge: principle diagnosis (ICD10)
3. Statistical analyses
1) Evaluation of predictive models
(1) Discrimination power to detect 30-day mortality is determined by area under ROC curve analysis.
(2) Calibration power to detect 30-day mortality is determined by Hosmer-Lemeshow test.
(3) Correlation between the predictive 30-day mortality rates of CORES and NSQIP is evaluated by Spearman's correlation coefficient.
(4) Correlation between severity of postoperative complications and the predictive 30-day mortality rate is evaluated by Spearman's correlation coefficient.
2) Evaluation of surgical quality between centers
(1) Observed-to-estimated mortality ratio (OE ratio) is used to quantitate quality of care between centers.
(2) The correlation between the OE ratios by NSQIP and CORES is determined by Pearson's correlation coefficient.
4. References
1) Miyazaki N, Haga Y, Matsukawa H, et al. The development and validation of the Calculation of post-Operative Risk in Emergency Surgery (CORES) model. Surg Today 2013, published online at http://link.springer.com/article/10.1007%2Fs00595-013-0707-1.
| 2014 | Year | 11 | Month | 26 | Day |
| 2017 | Year | 11 | Month | 28 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000018329
| Research Plan | |
|---|---|
| Registered date | File name |
| 2017/05/29 | CORES研究計画書1.5.doc |
| Research case data specifications | |
|---|---|
| Registered date | File name |
| 2017/05/29 | 症例登録票.docx |
| Research case data | |
|---|---|
| Registered date | File name |
| 2017/05/29 | CORES4.xlsx |
Value
https://center6.umin.ac.jp/ice/18329