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Prediction of acute pancreatitis complications using routine blood parameters during early admission
BACKGROUND: There have been many reports on biomarkers for predicting the severity of acute pancreatitis (AP), but few studies on biomarkers for predicting complications; some simple and inexpensive indicators, in particular, are worth exploring. METHODS: We retrospectively collected clinical data o...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695081/ https://www.ncbi.nlm.nih.gov/pubmed/36444624 http://dx.doi.org/10.1002/iid3.747 |
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author | Chen, Xiubing Ning, Jing Li, Qing Kuang, Wenxi Jiang, Haixing Qin, Shanyu |
author_facet | Chen, Xiubing Ning, Jing Li, Qing Kuang, Wenxi Jiang, Haixing Qin, Shanyu |
author_sort | Chen, Xiubing |
collection | PubMed |
description | BACKGROUND: There have been many reports on biomarkers for predicting the severity of acute pancreatitis (AP), but few studies on biomarkers for predicting complications; some simple and inexpensive indicators, in particular, are worth exploring. METHODS: We retrospectively collected clinical data of 809 AP patients, including medical history and results of routine blood tests, and grouped them according to the occurrence of complications. Differences in clinical characteristics between groups with and without complications were compared using t‐test or χ (2) test. Receiver operating curve (ROC) and area under the curve were calculated to evaluate the ability of predicting the occurrence of complications for the routine blood parameters with statistical differences. Then, through univariate and multivariate analyses, independent risk factors closely associated with complications were identified. Finally, we built a three‐parameter prediction system and evaluated its ability to predict AP complications. RESULTS: Compared with the group without complications, the patients in the complication group had higher white blood cells, neutrophils, C‐reactive protein, and erythrocyte sedimentation rate (ESR), and lower red blood cells and hemoglobin (Hb) (all p < .05), and most of them had severe pancreatitis. In addition, pseudocysts were more common in patients with alcoholic etiology, recurrence, low BMI, and high platelet (PLT) and plateletocrit. Acute respiratory failure was more common in patients with first onset and high mean PLT volume (MPV). Sepsis was more common in patients with lipogenic etiology, high MPV, and low lymphocytes. Infectious pancreatic necrosis was more common in patients with alcoholic etiology. Acute renal failure was more common in patients with monocytes and high MPV and low PLT. Multivariate analysis showed that PLT and ESR were risk factors for pseudocyst development. The ROC showed that the combination of Hb, PLT and ESR had a significantly higher predictive ability for pseudocyst than the single parameter. CONCLUSION: Routine blood parameters can be used to predict the complications of AP. A predictive model combining ESR, PLT, and Hb may be an effective tool for identifying pseudocysts in AP patients. |
format | Online Article Text |
id | pubmed-9695081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96950812022-11-28 Prediction of acute pancreatitis complications using routine blood parameters during early admission Chen, Xiubing Ning, Jing Li, Qing Kuang, Wenxi Jiang, Haixing Qin, Shanyu Immun Inflamm Dis Original Articles BACKGROUND: There have been many reports on biomarkers for predicting the severity of acute pancreatitis (AP), but few studies on biomarkers for predicting complications; some simple and inexpensive indicators, in particular, are worth exploring. METHODS: We retrospectively collected clinical data of 809 AP patients, including medical history and results of routine blood tests, and grouped them according to the occurrence of complications. Differences in clinical characteristics between groups with and without complications were compared using t‐test or χ (2) test. Receiver operating curve (ROC) and area under the curve were calculated to evaluate the ability of predicting the occurrence of complications for the routine blood parameters with statistical differences. Then, through univariate and multivariate analyses, independent risk factors closely associated with complications were identified. Finally, we built a three‐parameter prediction system and evaluated its ability to predict AP complications. RESULTS: Compared with the group without complications, the patients in the complication group had higher white blood cells, neutrophils, C‐reactive protein, and erythrocyte sedimentation rate (ESR), and lower red blood cells and hemoglobin (Hb) (all p < .05), and most of them had severe pancreatitis. In addition, pseudocysts were more common in patients with alcoholic etiology, recurrence, low BMI, and high platelet (PLT) and plateletocrit. Acute respiratory failure was more common in patients with first onset and high mean PLT volume (MPV). Sepsis was more common in patients with lipogenic etiology, high MPV, and low lymphocytes. Infectious pancreatic necrosis was more common in patients with alcoholic etiology. Acute renal failure was more common in patients with monocytes and high MPV and low PLT. Multivariate analysis showed that PLT and ESR were risk factors for pseudocyst development. The ROC showed that the combination of Hb, PLT and ESR had a significantly higher predictive ability for pseudocyst than the single parameter. CONCLUSION: Routine blood parameters can be used to predict the complications of AP. A predictive model combining ESR, PLT, and Hb may be an effective tool for identifying pseudocysts in AP patients. John Wiley and Sons Inc. 2022-11-25 /pmc/articles/PMC9695081/ /pubmed/36444624 http://dx.doi.org/10.1002/iid3.747 Text en © 2022 The Authors. Immunity, Inflammation and Disease published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Chen, Xiubing Ning, Jing Li, Qing Kuang, Wenxi Jiang, Haixing Qin, Shanyu Prediction of acute pancreatitis complications using routine blood parameters during early admission |
title | Prediction of acute pancreatitis complications using routine blood parameters during early admission |
title_full | Prediction of acute pancreatitis complications using routine blood parameters during early admission |
title_fullStr | Prediction of acute pancreatitis complications using routine blood parameters during early admission |
title_full_unstemmed | Prediction of acute pancreatitis complications using routine blood parameters during early admission |
title_short | Prediction of acute pancreatitis complications using routine blood parameters during early admission |
title_sort | prediction of acute pancreatitis complications using routine blood parameters during early admission |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9695081/ https://www.ncbi.nlm.nih.gov/pubmed/36444624 http://dx.doi.org/10.1002/iid3.747 |
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