2022
DOI: 10.1016/j.hpb.2022.05.1347
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Predicting persistent organ failure on admission in patients with acute pancreatitis: development and validation of a mobile nomogram

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Cited by 5 publications
(2 citation statements)
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“…Jiang 26 and Xu’s 27 articles are also based on the MIMIC-III database, the former includes too few patients, while Xu uses TBIL as the grouping basis and paid more attention to changes in liver function. The patients selected by Shi 28 are mainly mild AP, which is significantly different from our model’s prediction goals. Moreover, the above-mentioned models have not taken into account the effect of ferroptosis and have not comprehensively analyzed indicators such as serum iron, lactate, and ALP.…”
Section: Discussionmentioning
confidence: 65%
“…Jiang 26 and Xu’s 27 articles are also based on the MIMIC-III database, the former includes too few patients, while Xu uses TBIL as the grouping basis and paid more attention to changes in liver function. The patients selected by Shi 28 are mainly mild AP, which is significantly different from our model’s prediction goals. Moreover, the above-mentioned models have not taken into account the effect of ferroptosis and have not comprehensively analyzed indicators such as serum iron, lactate, and ALP.…”
Section: Discussionmentioning
confidence: 65%
“…It was well known that malnutrition is a significant risk factor for morbidity and mortality after gastrointestinal surgery. The nutritional risk index (NRI) and the NLR are two well-tested tools that are used for diagnosis and prognosis outcomes in surgery [ 22 26 ]. For many years, the nutritional status of the patient before surgery was considered one of the key factors influencing the occurrence of various complications after surgery, and there are several studies on the possibility of using the NRI as a screening tool for malnutrition to predict postoperative complications and the impact on patient survival [ 27 ].…”
Section: Introductionmentioning
confidence: 99%