Wenwen Xia, Wenzhen Liu, Huilan Su, Can Wen, Dongyan Wang, Jianjun Zhou, Jinbao Zhang, Yan Zhao
{"title":"ICU急性胰腺炎患者30天死亡率与乳酸钙比值的关系:预测模型的建立","authors":"Wenwen Xia, Wenzhen Liu, Huilan Su, Can Wen, Dongyan Wang, Jianjun Zhou, Jinbao Zhang, Yan Zhao","doi":"10.1155/ijcp/8889780","DOIUrl":null,"url":null,"abstract":"<div>\n <p><b>Background:</b> Global incidence of acute pancreatitis (AP) is rising. Early mortality prediction is crucial for treatment decisions. This study aims to develop a more streamlined and efficient mortality prediction model for AP.</p>\n <p><b>Methods:</b> This study focused on all-cause mortality 30 days after ICU admission using data from eligible AP patients in the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Multiple clinical indicators were used to construct 10 ratios, including the lactate-to-calcium ratio (LCR). The study analyzed the relationship between these 10 ratios as well as commonly used clinical indicators and mortality rates, developed a predictive model for 30-day mortality, and evaluated the model’s predictive performance. External validation was performed on an independent AP cohort extracted from the eICU Collaborative Research Database (eICU-CRD).</p>\n <p><b>Results:</b> This study included 680 patients with AP, among whom the mortality rate was 14.9%. The LCR and other biomarker ratios demonstrated significant predictive capacity for mortality risk. The final model incorporating LCR with five routine parameters exhibited good calibration, showing strong agreement between predicted and observed outcomes. This model demonstrated good predictive performance, comparable to conventional clinical scoring systems. Decision curve analysis revealed superior clinical utility of this model. External validation confirmed our streamlined model’s comparable predictive performance and clinical utility to conventional clinical scores.</p>\n <p><b>Conclusion:</b> The LCR was an independent significant risk factor for the 30-day all-cause mortality rate in AP patients. Compared to conventional clinical scoring systems, our model achieves equally good discriminative performance using fewer and more readily available parameters, while also demonstrating favorable clinical decision-making value, thereby exhibiting greater practical utility in critical care practice.</p>\n </div>","PeriodicalId":13782,"journal":{"name":"International Journal of Clinical Practice","volume":"2025 1","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/ijcp/8889780","citationCount":"0","resultStr":"{\"title\":\"Association of 30-Day Mortality With Lactate-to-Calcium Ratio in ICU Patients With Acute Pancreatitis: Development of a Predictive Model\",\"authors\":\"Wenwen Xia, Wenzhen Liu, Huilan Su, Can Wen, Dongyan Wang, Jianjun Zhou, Jinbao Zhang, Yan Zhao\",\"doi\":\"10.1155/ijcp/8889780\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n <p><b>Background:</b> Global incidence of acute pancreatitis (AP) is rising. Early mortality prediction is crucial for treatment decisions. This study aims to develop a more streamlined and efficient mortality prediction model for AP.</p>\\n <p><b>Methods:</b> This study focused on all-cause mortality 30 days after ICU admission using data from eligible AP patients in the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Multiple clinical indicators were used to construct 10 ratios, including the lactate-to-calcium ratio (LCR). The study analyzed the relationship between these 10 ratios as well as commonly used clinical indicators and mortality rates, developed a predictive model for 30-day mortality, and evaluated the model’s predictive performance. External validation was performed on an independent AP cohort extracted from the eICU Collaborative Research Database (eICU-CRD).</p>\\n <p><b>Results:</b> This study included 680 patients with AP, among whom the mortality rate was 14.9%. The LCR and other biomarker ratios demonstrated significant predictive capacity for mortality risk. The final model incorporating LCR with five routine parameters exhibited good calibration, showing strong agreement between predicted and observed outcomes. This model demonstrated good predictive performance, comparable to conventional clinical scoring systems. Decision curve analysis revealed superior clinical utility of this model. External validation confirmed our streamlined model’s comparable predictive performance and clinical utility to conventional clinical scores.</p>\\n <p><b>Conclusion:</b> The LCR was an independent significant risk factor for the 30-day all-cause mortality rate in AP patients. 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Association of 30-Day Mortality With Lactate-to-Calcium Ratio in ICU Patients With Acute Pancreatitis: Development of a Predictive Model
Background: Global incidence of acute pancreatitis (AP) is rising. Early mortality prediction is crucial for treatment decisions. This study aims to develop a more streamlined and efficient mortality prediction model for AP.
Methods: This study focused on all-cause mortality 30 days after ICU admission using data from eligible AP patients in the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Multiple clinical indicators were used to construct 10 ratios, including the lactate-to-calcium ratio (LCR). The study analyzed the relationship between these 10 ratios as well as commonly used clinical indicators and mortality rates, developed a predictive model for 30-day mortality, and evaluated the model’s predictive performance. External validation was performed on an independent AP cohort extracted from the eICU Collaborative Research Database (eICU-CRD).
Results: This study included 680 patients with AP, among whom the mortality rate was 14.9%. The LCR and other biomarker ratios demonstrated significant predictive capacity for mortality risk. The final model incorporating LCR with five routine parameters exhibited good calibration, showing strong agreement between predicted and observed outcomes. This model demonstrated good predictive performance, comparable to conventional clinical scoring systems. Decision curve analysis revealed superior clinical utility of this model. External validation confirmed our streamlined model’s comparable predictive performance and clinical utility to conventional clinical scores.
Conclusion: The LCR was an independent significant risk factor for the 30-day all-cause mortality rate in AP patients. Compared to conventional clinical scoring systems, our model achieves equally good discriminative performance using fewer and more readily available parameters, while also demonstrating favorable clinical decision-making value, thereby exhibiting greater practical utility in critical care practice.
期刊介绍:
IJCP is a general medical journal. IJCP gives special priority to work that has international appeal.
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International scope
IJCP publishes work from investigators globally. Around 30% of IJCP articles list an author from the UK. Around 30% of IJCP articles list an author from the USA or Canada. Around 45% of IJCP articles list an author from a European country that is not the UK. Around 15% of articles published in IJCP list an author from a country in the Asia-Pacific region.