Intensive care unit readmission and unexpected death after emergency general surgery
Background: Intensive care unit (ICU) readmission and unexpected death are closely associated with increased length of hospitalization and total mortality. However, data about readmission or unexpected death after discharge from ICU in patients who have undergone emergency general surgery (EGS) is v...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-03-01
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| Series: | Heliyon |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844023014858 |
| _version_ | 1797851846145998848 |
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| author | Ran Guo Na Cui |
| author_facet | Ran Guo Na Cui |
| author_sort | Ran Guo |
| collection | DOAJ |
| description | Background: Intensive care unit (ICU) readmission and unexpected death are closely associated with increased length of hospitalization and total mortality. However, data about readmission or unexpected death after discharge from ICU in patients who have undergone emergency general surgery (EGS) is very limited. Methods: In total, 1133 patients who underwent EGS were identified in the Multiparameter Intelligent Monitoring in Intensive Care IV (MIMIC-IV) database. Of these 1133 patients, 124 underwent readmission into the ICU or death unexpectedly after their initial discharge. The clinical characteristics of the patients were investigated. A logistic regression model was implemented for the analysis of the independent risk factors associated with ICU readmission or unexpected death. A nomogram model was established to predict the risk of ICU readmission or unexpected death within 72 h after EGS. Results: Peripheral vascular disease and atrial fibrillation, vasopressor requirement, a higher respiratory rate or heart rate, a lower pulse oxygen saturation or a platelet count of <150 K/μL and a relatively low Glasgow coma scale score in the last 24 h before ICU discharge were independent risk factors for ICU readmission or death within 72 h. The nomogram had moderate accuracy with an area under the curve of 0.852, which had a stronger prediction power than the Stability and Workload Index for Transfer (SWIFT) score, a classic prediction model for ICU readmission risk. Conclusions: In critically ill patients who undergo EGS, ICU readmission or unexpected death within 72 h can be predicted using a nomogram model based on eight parameters including physiological and laboratory test values in the last 24 h before discharge and comorbidities. ICU physicians should prudently assess patients to make effective discharge decisions. |
| first_indexed | 2024-04-09T19:23:20Z |
| format | Article |
| id | doaj.art-579fc43c4e874028ae229b1dbbc704f0 |
| institution | Directory Open Access Journal |
| issn | 2405-8440 |
| language | English |
| last_indexed | 2024-04-09T19:23:20Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Heliyon |
| spelling | doaj.art-579fc43c4e874028ae229b1dbbc704f02023-04-05T08:22:31ZengElsevierHeliyon2405-84402023-03-0193e14278Intensive care unit readmission and unexpected death after emergency general surgeryRan Guo0Na Cui1Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100730, ChinaCorresponding author.; Department of Critical Care Medicine, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, 100730, ChinaBackground: Intensive care unit (ICU) readmission and unexpected death are closely associated with increased length of hospitalization and total mortality. However, data about readmission or unexpected death after discharge from ICU in patients who have undergone emergency general surgery (EGS) is very limited. Methods: In total, 1133 patients who underwent EGS were identified in the Multiparameter Intelligent Monitoring in Intensive Care IV (MIMIC-IV) database. Of these 1133 patients, 124 underwent readmission into the ICU or death unexpectedly after their initial discharge. The clinical characteristics of the patients were investigated. A logistic regression model was implemented for the analysis of the independent risk factors associated with ICU readmission or unexpected death. A nomogram model was established to predict the risk of ICU readmission or unexpected death within 72 h after EGS. Results: Peripheral vascular disease and atrial fibrillation, vasopressor requirement, a higher respiratory rate or heart rate, a lower pulse oxygen saturation or a platelet count of <150 K/μL and a relatively low Glasgow coma scale score in the last 24 h before ICU discharge were independent risk factors for ICU readmission or death within 72 h. The nomogram had moderate accuracy with an area under the curve of 0.852, which had a stronger prediction power than the Stability and Workload Index for Transfer (SWIFT) score, a classic prediction model for ICU readmission risk. Conclusions: In critically ill patients who undergo EGS, ICU readmission or unexpected death within 72 h can be predicted using a nomogram model based on eight parameters including physiological and laboratory test values in the last 24 h before discharge and comorbidities. ICU physicians should prudently assess patients to make effective discharge decisions.http://www.sciencedirect.com/science/article/pii/S2405844023014858Emergency general surgeryICU ReadmissionMIMIC-IV Database |
| spellingShingle | Ran Guo Na Cui Intensive care unit readmission and unexpected death after emergency general surgery Heliyon Emergency general surgery ICU Readmission MIMIC-IV Database |
| title | Intensive care unit readmission and unexpected death after emergency general surgery |
| title_full | Intensive care unit readmission and unexpected death after emergency general surgery |
| title_fullStr | Intensive care unit readmission and unexpected death after emergency general surgery |
| title_full_unstemmed | Intensive care unit readmission and unexpected death after emergency general surgery |
| title_short | Intensive care unit readmission and unexpected death after emergency general surgery |
| title_sort | intensive care unit readmission and unexpected death after emergency general surgery |
| topic | Emergency general surgery ICU Readmission MIMIC-IV Database |
| url | http://www.sciencedirect.com/science/article/pii/S2405844023014858 |
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