Starting Hemoglobin Value Predicts Early Phase Prognosis after Liver Transplantation

Jiang, Guo‐Qing; Bai, Dou‐Sheng; Chen, P.; Fan, Jia; Tan, Jie; Peng, Minhao

doi:10.1016/j.transproceed.2010.12.067

Cited by 10 publications

(9 citation statements)

References 15 publications

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“…21 A low level of hemoglobin was a predictor of health-related quality of life 22 and a decreased survival in patients with cirrhosis. 21,23 Moreover, a starting Hb ≤10 g/dl was an independent risk factor for early postoperative pulmonary complications after LT 24 and a single measurement of hemoglobin predicted overall survival in patients with hepatocellular carcinoma. 25 The prognostic importance of a reduced hemoglobin concentration has also been reported in patients with ACLF, in whom it predicted delayed mortality.…”

Section: Discussionmentioning

confidence: 97%

Prediction of nosocomial acute-on-chronic liver failure in patients with cirrhosis admitted to hospital with acute decompensation

et al. 2019

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Section: Discussionmentioning

confidence: 97%

Prediction of nosocomial acute-on-chronic liver failure in patients with cirrhosis admitted to hospital with acute decompensation

et al. 2019

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“…To improve the outcomes of LDLT, preoperative risk factors for poor survival such as malnutrition and pretransplant diabetes mellitus need preemptive management [2][3][4][5]. Anemia, for example, is commonly encountered in cirrhotic patients due to hypersplenism, iron and/or folate deficiency, renal insufficiency, and gastrointestinal bleeding [6], and several studies reported that preoperative anemia was a risk factor for postoperative mortality in cirrhotic patients, especially after major abdominal and cardiac surgeries [7][8][9].…”

Section: Introductionmentioning

confidence: 99%

“…However, the impact of preoperative anemia on recipient morbidity and mortality after LT is still not completely understood or thoroughly investigated [6, 10]. Therefore, this study was performed to investigate the impact of preoperative moderate‐to‐severe anemia on the outcomes after LDLT.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Preoperative Hemoglobin Level on the Short‐Term Outcomes After Living Donor Liver Transplantation

et al. 2018

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“…Hemoglobin ≤ 100 g/L is an independent risk factor for postoperative pulmonary complications ( 33 ). Similarly, studies have suggested that serum albumin reduction on the 1st day after surgery can be a predictor of PPCs in patients with lung cancer after thoracoscopic anatomy ( 24 ).…”

Section: Discussionmentioning

confidence: 99%

Developing Machine Learning Algorithms to Predict Pulmonary Complications After Emergency Gastrointestinal Surgery

Xue

Duan

et al. 2021

Front. Med.

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Objective: Investigate whether machine learning can predict pulmonary complications (PPCs) after emergency gastrointestinal surgery in patients with acute diffuse peritonitis.Methods: This is a secondary data analysis study. We use five machine learning algorithms (Logistic regression, DecisionTree, GradientBoosting, Xgbc, and gbm) to predict postoperative pulmonary complications.Results: Nine hundred and twenty-six cases were included in this study; 187 cases (20.19%) had PPCs. The five most important variables for the postoperative weight were preoperative albumin, cholesterol on the 3rd day after surgery, albumin on the day of surgery, platelet count on the 1st day after surgery and cholesterol count on the 1st day after surgery for pulmonary complications. In the test group: the logistic regression model shows AUC = 0.808, accuracy = 0.824 and precision = 0.621; Decision tree shows AUC = 0.702, accuracy = 0.795 and precision = 0.486; The GradientBoosting model shows AUC = 0.788, accuracy = 0.827 and precision = 1.000; The Xgbc model shows AUC = 0.784, accuracy = 0.806 and precision = 0.583. The Gbm model shows AUC = 0.814, accuracy = 0.806 and precision = 0.750.Conclusion: Machine learning algorithms can predict patients' PPCs with acute diffuse peritonitis. Moreover, the results of the importance matrix for the Gbdt algorithm model show that albumin, cholesterol, age, and platelets are the main variables that account for the highest pulmonary complication weights.

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Starting Hemoglobin Value Predicts Early Phase Prognosis after Liver Transplantation

Cited by 10 publications

References 15 publications

Prediction of nosocomial acute-on-chronic liver failure in patients with cirrhosis admitted to hospital with acute decompensation

Prediction of nosocomial acute-on-chronic liver failure in patients with cirrhosis admitted to hospital with acute decompensation

The Impact of Preoperative Hemoglobin Level on the Short‐Term Outcomes After Living Donor Liver Transplantation

Developing Machine Learning Algorithms to Predict Pulmonary Complications After Emergency Gastrointestinal Surgery

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