Effects of preoperative bicarbonate and lactate levels on short-term outcomes and prognosis in elderly patients with colorectal cancer

Liu, Xiao-Yu; Li, Zi-Wei; Zhang, Bin; Liu, Fei; Zhang, Wei; Peng, Dong

doi:10.1186/s12893-023-02039-x

Cited by 3 publications

(2 citation statements)

References 39 publications

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“…In recent years, anastomosis and surgical techniques have developed considerably, but the incidence of post-operative complications in RC has not been significantly reduced ( 9 – 12 ). Several previous studies have shown that post-operative complications affected the prognosis of RC ( 28 – 30 ). Therefore, it was necessary to develop a predictive nomogram for major post-operative complications in RC.…”

Section: Discussionmentioning

confidence: 98%

Development and validation of a nomogram to predict the risk factors of major complications after radical rectal cancer surgery

Lv,

Yuan,

et al. 2024

Front. Oncol.

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PurposeThe aim of this study was to establish a validated nomogram to predict risk factors for major post-operative complications in patients with rectal cancer (RC) by analyzing the factors contributing to major post-operative complications in RC patients.MethodsWe retrospectively collected baseline and surgical information on patients who underwent RC surgery between December 2012 and December 2022 at a single-center teaching hospital. The entire cohort was randomly divided into two subsets (60% of the data for development, 40% for validation). Independent risk factors for major post-operative complications were identified using multivariate logistic regression analyses, and predictive models were developed. Area under the curve (AUC) was calculated using receiver operating characteristic curve (ROC) to assess predictive probability, calibration curves were plotted to compare the predicted probability of the nomogram with the actual probability, and the clinical efficacy of the nomogram was assessed using decision curve analysis (DCA).ResultsOur study included 3151 patients who underwent radical surgery for RC, including 1892 in the development set and 1259 in the validation set. Forty (2.1%) patients in the development set and 26 (2.1%) patients in the validation set experienced major post-operative complications. Through multivariate logistic regression analysis, age (p<0.01, OR=1.044, 95% CI=1.016-1.074), pre-operative albumin (p<0.01, OR=0.913, 95% CI=0.866-0.964), and open surgery (p<0.01, OR=2.461, 95% CI=1.284-4.761) were identified as independent risk factors for major post-operative complications in RC, and a nomogram prediction model was established. The AUC of the ROC plot for the development set was 0.7161 (95% Cl=0.6397-0.7924), and the AUC of the ROC plot for the validation set was 0.7191 (95% CI=0.6182-0.8199). The predicted probabilities in the calibration curves were highly consistent with the actual probabilities, which indicated that the prediction model had good predictive ability. The DCA also confirmed the good clinical performance of the nomogram.ConclusionIn this study, a validated nomogram containing three predictors was created to identify risk factors for major complications after radical RC surgery. Due to its accuracy and convenience, it could contribute to personalized management of patients in the perioperative period.

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Section: Discussionmentioning

confidence: 98%

Development and validation of a nomogram to predict the risk factors of major complications after radical rectal cancer surgery

Lv,

Yuan,

et al. 2024

Front. Oncol.

Self Cite

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“…According to the global statistics released by the International Agency for Research on Cancer in 2022, the new cases of colorectal cancer (CRC) accounted for 9.6% of the new cases of malignant tumors in the world annually, ranking second only to breast and lung cancer in women. Moreover, CRC-related deaths accounted for 9.3% of cancer-related deaths, making it the second leading cause of cancer mortality after lung cancer ( 1 – 4 ).…”

Section: Introductionmentioning

confidence: 99%

Does chronic kidney disease affect the short-term outcomes and prognosis of colorectal cancer surgery? A propensity score matching analysis

Qu,

Rao,

Hai

et al. 2024

Front. Oncol.

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PurposeThe aim of this study was to analyze the effect of chronic kidney disease (CKD) on the short-term outcomes and prognosis of colorectal cancer (CRC) patients who underwent primary surgery.MethodsCRC patients who underwent radical surgery were included from Jan 2011 to Jan 2020 in a single hospital. The short-term outcomes and prognosis were compared between the CKD group and the Non-CKD group using propensity score matching (PSM) analysis.ResultsA total of 4056 patients undergoing CRC surgery were included, including 723 patients in the CKD group and 3333 patients in the Non-CKD group. After 1:1 PSM, there were 666 patients in each group, respectively. No significant difference was found in baseline characteristics between the two groups. (p>0.05). After PSM, the CKD group had a longer postoperative hospital stay (P=0.009) and a higher incidence of overall complications (p=0.050). Cox analysis was performed on matched patients to find predictors of overall survival (OS) and disease-free survival (DFS). We found that age (p<0.01, HR=1.045, 95% CI=1.028–1.062), tumor stage (p<0.01, HR=1.931, 95% CI=1.564–2.385) and overall complications (p<0.01, HR=1.858, 95% CI=1.423–2.425) were independent predictors of OS. Age (p<0.01, HR=1.034, 95% CI=1.020–1.049), tumor stage (p<0.01, HR=1.852, 95% CI=1.537–2.231), and overall complications (p<0.01, HR=1.651, 95% CI=1.295–2.10) were independent predictors of DFS. However, CKD was not an independent predictor of OS or DFS (OS: p=0.619, HR=1.070, 95% CI=0.820–1.396; DFS: p=0.472, HR=1.092, 95% CI=0.859–1.389).ConclusionCKD prolonged postoperative hospital stay; however, CKD might not affect major postoperative complications, OS or DFS of CRC.

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Phase angle is a predictor for postoperative complications in colorectal cancer

Liu,

Kang,

et al. 2024

Front. Nutr.

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AimThe aim of this study was to develop a validated nomogram to predict the risk of postoperative complications in colorectal cancer (CRC) patients by analyzing the factors that contribute to these complications.MethodsWe retrospectively collected clinical information on patients who underwent CRC surgery at a single clinical center from January 2021 to December 2021. Univariate and multivariate logistic regression analysis to identify independent risk factors for postoperative complications and to develop a predictive model. A receiver operating characteristic (ROC) curve was used to calculate the area under the curve (AUC) to assess the predicted probability. Calibration curve was drawn to compare the predicted probability of the nomogram with the actual probability, and decision curve analysis (DCA) was employed to evaluate the clinical utility of the nomogram.ResultsA total of 190 CRC patients were included in this study. We retrospectively collected baseline information, clinical information, surgical information, and nutrition-related indicators for all patients. Through multivariate logistic regression analysis, preoperative albumin (p = 0.041, OR = 0.906, 95% CI = 0.824–0.996), surgical time (p = 0.009, OR = 1.006, 95% CI = 1.001–1.010), waistline (p = 0.049, OR = 1.011, 95% CI = 1.002–1.020) and phase angle (PA) (p = 0.022, OR = 0.615, 95% CI = 0.405–0.933) were identified as independent risk factors for postoperative complications in CRC, and a nomogram prediction model was established using the above four variables. The AUC of 0.706 for the ROC plot and the high agreement between predicted and actual probabilities in the calibration curves suggested that the prediction model has good predictive power. The DCA also confirmed the good clinical performance of the nomogram.ConclusionThis study developed a nomogram to predict the risk of postoperative complications in CRC patients, providing surgeons with a reliable reference to personalized patient management in the perioperative period and preoperative nutritional interventions.

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Effects of preoperative bicarbonate and lactate levels on short-term outcomes and prognosis in elderly patients with colorectal cancer

Cited by 3 publications

References 39 publications

Development and validation of a nomogram to predict the risk factors of major complications after radical rectal cancer surgery

Development and validation of a nomogram to predict the risk factors of major complications after radical rectal cancer surgery

Does chronic kidney disease affect the short-term outcomes and prognosis of colorectal cancer surgery? A propensity score matching analysis

Phase angle is a predictor for postoperative complications in colorectal cancer

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