Hospital mortality of blunt abdominal aortic injury (BAAI): a systematic review and meta-analysis
Abstract Background Studies on the mortality of blunt abdominal aortic injury (BAAI) are rare and have yielded inconsistent results. In the present study, we aimed to quantitatively analyse the retrieved data to more accurately determine the hospital mortality of BAAI. Methods The Excerpta Medica Da...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2023-03-01
|
| Series: | World Journal of Emergency Surgery |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13017-023-00492-w |
| _version_ | 1827974725307990016 |
|---|---|
| author | Mingxuan Li Yu Yan Chaonan Wang Haixia Tu |
| author_facet | Mingxuan Li Yu Yan Chaonan Wang Haixia Tu |
| author_sort | Mingxuan Li |
| collection | DOAJ |
| description | Abstract Background Studies on the mortality of blunt abdominal aortic injury (BAAI) are rare and have yielded inconsistent results. In the present study, we aimed to quantitatively analyse the retrieved data to more accurately determine the hospital mortality of BAAI. Methods The Excerpta Medica Database, PubMed, Web of Science and Cochrane Library databases were searched to identify relevant publications without date restrictions. The overall hospital mortality (OHM) of BAAI patients was set as the primary outcome measure. English publications with data that met the selection criteria were included. The quality of all included studies was assessed by the Joanna Briggs Institute checklist and the American Agency for Health Care Quality and Research’s cross-sectional study quality evaluation items. After data extraction, a meta-analysis of the Freeman–Tukey double arcsine transformation of data was performed using the Metaprop command in Stata 16 software. Heterogeneity was assessed and reported as a percentage using the I 2 index value and as a P value using the Cochrane Q test. Various methods were used to determine the sources of heterogeneity and to analyse the sensitivity of the computation model. Results Of the 2147 references screened, 5 studies that involved 1593 patients met the selection criteria and were included. There were no low-quality references after assessment. One study that only included 16 juvenile BAAI patients was excluded from the meta-analysis of the primary outcome measure due to high heterogeneity. Due to the low heterogeneity (I 2 = 47.6%, P = 0.126 for Q test) that was observed after using the random effects model, the fixed model was subsequently used to pool the effect sizes of the remaining four studies, thus yielding an OHM of 28.8% [95% confidence interval (CI) 26.5–31.1%]. The stability of the model was verified by sensitivity analysis, and Egger’s test (P = 0.339) indicated a low level of publication bias. In addition, we also performed meta-analyses and obtained a pooled hospital mortality of operation (13.5%, 95% CI 8.0–20.0%), a pooled hospital mortality of non-operation (28.4%, 95% CI 25.9–31.0%), and a pooled rate of aortic rupture (12.2%, 95% CI 7.0–18.5%) of BAAI. Conclusions The present study indicated that BAAI has an OHM of 28.8%, indicating that this disease deserves more attention and research. |
| first_indexed | 2024-04-09T19:58:59Z |
| format | Article |
| id | doaj.art-c54ab390e7b5447b99ad9a41568a4858 |
| institution | Directory Open Access Journal |
| issn | 1749-7922 |
| language | English |
| last_indexed | 2024-04-09T19:58:59Z |
| publishDate | 2023-03-01 |
| publisher | BMC |
| record_format | Article |
| series | World Journal of Emergency Surgery |
| spelling | doaj.art-c54ab390e7b5447b99ad9a41568a48582023-04-03T05:20:38ZengBMCWorld Journal of Emergency Surgery1749-79222023-03-0118111110.1186/s13017-023-00492-wHospital mortality of blunt abdominal aortic injury (BAAI): a systematic review and meta-analysisMingxuan Li0Yu Yan1Chaonan Wang2Haixia Tu3Department of Vascular Surgery, Beijing Fengtai You’anmen HospitalDepartment of Vascular Surgery, Beijing Fengtai You’anmen HospitalDepartment of Vascular Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical CollegeDepartment of Vascular Surgery, Beijing Fengtai You’anmen HospitalAbstract Background Studies on the mortality of blunt abdominal aortic injury (BAAI) are rare and have yielded inconsistent results. In the present study, we aimed to quantitatively analyse the retrieved data to more accurately determine the hospital mortality of BAAI. Methods The Excerpta Medica Database, PubMed, Web of Science and Cochrane Library databases were searched to identify relevant publications without date restrictions. The overall hospital mortality (OHM) of BAAI patients was set as the primary outcome measure. English publications with data that met the selection criteria were included. The quality of all included studies was assessed by the Joanna Briggs Institute checklist and the American Agency for Health Care Quality and Research’s cross-sectional study quality evaluation items. After data extraction, a meta-analysis of the Freeman–Tukey double arcsine transformation of data was performed using the Metaprop command in Stata 16 software. Heterogeneity was assessed and reported as a percentage using the I 2 index value and as a P value using the Cochrane Q test. Various methods were used to determine the sources of heterogeneity and to analyse the sensitivity of the computation model. Results Of the 2147 references screened, 5 studies that involved 1593 patients met the selection criteria and were included. There were no low-quality references after assessment. One study that only included 16 juvenile BAAI patients was excluded from the meta-analysis of the primary outcome measure due to high heterogeneity. Due to the low heterogeneity (I 2 = 47.6%, P = 0.126 for Q test) that was observed after using the random effects model, the fixed model was subsequently used to pool the effect sizes of the remaining four studies, thus yielding an OHM of 28.8% [95% confidence interval (CI) 26.5–31.1%]. The stability of the model was verified by sensitivity analysis, and Egger’s test (P = 0.339) indicated a low level of publication bias. In addition, we also performed meta-analyses and obtained a pooled hospital mortality of operation (13.5%, 95% CI 8.0–20.0%), a pooled hospital mortality of non-operation (28.4%, 95% CI 25.9–31.0%), and a pooled rate of aortic rupture (12.2%, 95% CI 7.0–18.5%) of BAAI. Conclusions The present study indicated that BAAI has an OHM of 28.8%, indicating that this disease deserves more attention and research.https://doi.org/10.1186/s13017-023-00492-wBAAIBlunt traumaAbdominal injuryMortalityTrauma |
| spellingShingle | Mingxuan Li Yu Yan Chaonan Wang Haixia Tu Hospital mortality of blunt abdominal aortic injury (BAAI): a systematic review and meta-analysis World Journal of Emergency Surgery BAAI Blunt trauma Abdominal injury Mortality Trauma |
| title | Hospital mortality of blunt abdominal aortic injury (BAAI): a systematic review and meta-analysis |
| title_full | Hospital mortality of blunt abdominal aortic injury (BAAI): a systematic review and meta-analysis |
| title_fullStr | Hospital mortality of blunt abdominal aortic injury (BAAI): a systematic review and meta-analysis |
| title_full_unstemmed | Hospital mortality of blunt abdominal aortic injury (BAAI): a systematic review and meta-analysis |
| title_short | Hospital mortality of blunt abdominal aortic injury (BAAI): a systematic review and meta-analysis |
| title_sort | hospital mortality of blunt abdominal aortic injury baai a systematic review and meta analysis |
| topic | BAAI Blunt trauma Abdominal injury Mortality Trauma |
| url | https://doi.org/10.1186/s13017-023-00492-w |
| work_keys_str_mv | AT mingxuanli hospitalmortalityofbluntabdominalaorticinjurybaaiasystematicreviewandmetaanalysis AT yuyan hospitalmortalityofbluntabdominalaorticinjurybaaiasystematicreviewandmetaanalysis AT chaonanwang hospitalmortalityofbluntabdominalaorticinjurybaaiasystematicreviewandmetaanalysis AT haixiatu hospitalmortalityofbluntabdominalaorticinjurybaaiasystematicreviewandmetaanalysis |