Development and validation of a nomogram to predict postsurgical intra-abdominal infection in blunt abdominal trauma patients : A multicenter retrospective study
Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved..
BACKGROUND: Intra-abdominal infection is a common complication of blunt abdominal trauma. Early detection and intervention can reduce the incidence of intra-abdominal infection and improve patients' prognoses. This study aims to construct a clinical model predicting postsurgical intra-abdominal infection after blunt abdominal trauma.
METHODS: This study is a retrospective analysis of 553 patients with blunt abdominal trauma from the Department of General Surgery of 7 medical centers (2011-2021). A 7:3 ratio was used to assign patients to the derivation and validation cohorts. Patients were divided into 2 groups based on whether intra-abdominal infection occurred after blunt abdominal trauma. Multivariate logistic regression and least absolute shrinkage and selection operator regression were used to select variables to establish a nomogram. The nomogram was evaluated, and the validity of the model was further evaluated by the validation cohort.
RESULTS: A total of 113 were diagnosed with intra-abdominal infection (20.4%). Age, prehospital time, C-reactive protein, injury severity score, operation duration, intestinal injury, neutrophils, and antibiotic use were independent risk factors for intra-abdominal infection in blunt abdominal trauma patients (P < .05). The area under the receiver operating curve (area under the curve) of derivation cohort and validation cohort was 0.852 (95% confidence interval, 0.784-0.912) and 0.814 (95% confidence interval, 0.751-0.902). The P value for the Hosmer-Lemeshow test was .135 and .891 in the 2 cohorts. The calibration curve demonstrated that the nomogram had a high consistency between prediction and practical observation. The decision curve analysis also showed that the nomogram had a better potential for clinical application. To facilitate clinical application, we have developed an online at https://nomogramcgz.shinyapps.io/IAIrisk/.
CONCLUSION: The nomogram is helpful in predicting the risk of postoperative intra-abdominal infection in patients with blunt abdominal trauma and provides guidance for clinical decision-making and treatment.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:175 |
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| Enthalten in: |
Surgery - 175(2024), 5 vom: 15. Apr., Seite 1424-1431 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Chang, Zheng Y [VerfasserIn] |
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| Anmerkungen: |
Date Completed 10.04.2024 Date Revised 10.04.2024 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.surg.2024.01.013 |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM368920178 |
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| 100 | 1 | |a Chang, Zheng Y |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Development and validation of a nomogram to predict postsurgical intra-abdominal infection in blunt abdominal trauma patients |b A multicenter retrospective study |
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| 520 | |a Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved. | ||
| 520 | |a BACKGROUND: Intra-abdominal infection is a common complication of blunt abdominal trauma. Early detection and intervention can reduce the incidence of intra-abdominal infection and improve patients' prognoses. This study aims to construct a clinical model predicting postsurgical intra-abdominal infection after blunt abdominal trauma | ||
| 520 | |a METHODS: This study is a retrospective analysis of 553 patients with blunt abdominal trauma from the Department of General Surgery of 7 medical centers (2011-2021). A 7:3 ratio was used to assign patients to the derivation and validation cohorts. Patients were divided into 2 groups based on whether intra-abdominal infection occurred after blunt abdominal trauma. Multivariate logistic regression and least absolute shrinkage and selection operator regression were used to select variables to establish a nomogram. The nomogram was evaluated, and the validity of the model was further evaluated by the validation cohort | ||
| 520 | |a RESULTS: A total of 113 were diagnosed with intra-abdominal infection (20.4%). Age, prehospital time, C-reactive protein, injury severity score, operation duration, intestinal injury, neutrophils, and antibiotic use were independent risk factors for intra-abdominal infection in blunt abdominal trauma patients (P < .05). The area under the receiver operating curve (area under the curve) of derivation cohort and validation cohort was 0.852 (95% confidence interval, 0.784-0.912) and 0.814 (95% confidence interval, 0.751-0.902). The P value for the Hosmer-Lemeshow test was .135 and .891 in the 2 cohorts. The calibration curve demonstrated that the nomogram had a high consistency between prediction and practical observation. The decision curve analysis also showed that the nomogram had a better potential for clinical application. To facilitate clinical application, we have developed an online at https://nomogramcgz.shinyapps.io/IAIrisk/ | ||
| 520 | |a CONCLUSION: The nomogram is helpful in predicting the risk of postoperative intra-abdominal infection in patients with blunt abdominal trauma and provides guidance for clinical decision-making and treatment | ||
| 650 | 4 | |a Multicenter Study | |
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Gao, Wen X |e verfasserin |4 aut | |
| 700 | 1 | |a Zhang, Yue |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Peng |e verfasserin |4 aut | |
| 700 | 1 | |a Zhao, Wen |e verfasserin |4 aut | |
| 700 | 1 | |a Wu, Di |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Zhi D |e verfasserin |4 aut | |
| 700 | 1 | |a Gao, Yun H |e verfasserin |4 aut | |
| 700 | 1 | |a Liang, Wen Q |e verfasserin |4 aut | |
| 700 | 1 | |a Chen, Lin |e verfasserin |4 aut | |
| 700 | 1 | |a Xi, Hong Q |e verfasserin |4 aut | |
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