Page 35 - Risk quantification and modification in older patients with colorectal cancer

Risk prediction models for CRC patients
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Table 2B Predictors for anastomotic leakage
Age Gender Tumour Comorbidity Geriatric
Author
Outcome
Dekker et al. 15
Anastomotic leakage
√
Intoxication, Neoadjuvant therapy, Distance of anastomosis, Blood Loss, Additional procedures, Duration of surgery
Pasic et al. 19 Frasson et al. 21
Anastomotic leakage
- - ASA score -
- -
Rectal tumours, Duration of surgery, Blood transfusion
Hu et al. 22
Anastomotic leakage
- √ - Diabetes -
- √
Distance of anastomosis, Blood Loss
Rojas-
Anastomotic leakage
- √ - ASA score, - Diabetes, CV
Haemoglobin, WBC, Albumin,
Intoxications, Neoadjuvant treatment, Concurrent presented pathologies, Additional surgery, Mechanical anastomosis
Machando et al. 27
Disease, Respiratory Disease, Renal Disease, Hepatic Disease, Steroid use
Rencuzogullari et al. 29
Anastomotic leakage
-a √ - ASA score, Diabetes, COPD
√
Weight loss, Open Wound/ Wound infection, Duration of surgery
Hoshino et al. 33
Anastomotic leakage
Steroid use
- √ - - -
Albumin
-
Tumour location, Tumour diameter, Additional surgery
Anastomotic leakage
- √ - Oral Anticoagulants - BMI
Intraoperative complication, Serum protein, Hospital size (No of beds)
stage1 predictors √ √ - BMI -
Biochemical predictors
Operative urgency (or mode of admission)
“Other predictors”
√ predictor included, - predictor not included. BMI, body mass index, 1 Stage IV (disseminated) cancer or actual tumour stage; WBC, white blood cell count; 2Typ of surgery (colectomy, ostomy ect); CHF, congestive heart disease including signs of heart failure. intoxication include alcohol abuses and smoking. aModel development for patients of age ≥65.
Predictors