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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Wang, Ze-zheng Liu, Zhe-kui Ma, Wen-xing Wu, Yun-hua Duan, Xiang-long |
| Abstract | Aim Small bowel obstruction is a common condition that requires emergency surgery. Slow recovery of bowel function after surgery or the occurrence of one or more complications can exacerbate the disease and result in severe small bowel obstruction (SSBO), significantly impacting recovery. It is characterized by a failure to regain enteral nutrition promptly, requiring long-term intensive care. Therefore, it is necessary to identify factors that predict SSBO, to allow early intervention for patients likely to develop this condition. Methods Of the 260 patients who underwent emergency or elective surgery for small bowel obstruction between January 2018 and December 2022, 45 developed SSBO. The least absolute shrinkage and selection operator regression model was applied to optimize factor selection and multivariable logistic regression analysis was used to construct a predictive model. The performance and clinical utility of the nomogram were determined and internal validation was conducted. In addition, the effects of the Houpu Paiqi mixture on postoperative recovery were analyzed by comparing the clinical data of 28 patients who were treated with the mixture and 61patients who did not receive it. Results The predictors included in the prediction nomogram were age, peritonitis, intestinal resection and anastomosis, complications, operation time, Acute Physiology and Chronic Health Evaluation II score, white blood cell count, and procalcitonin level. The model had an area under the receiver operating characteristic curve of 0.948 (95% confidence interval: 0.814–0.956). Decision curve analysis demonstrated that the SSBO risk nomogram had a good net clinical benefit. In addition, treatment with the Houpu Paiqi mixture reduced postoperative exhaust time, postoperative defecation time, time to first postoperative liquid feed, and length of stay in hospital. Conclusions We developed a nomogram that can assist clinicians in identifying patients at greater risk of SSBO, which may aid in early diagnosis and intervention. Additionally, we found that the Houpu Paiqi mixture promoted postoperative recovery. |
| Related Links | https://bmcsurg.biomedcentral.com/counter/pdf/10.1186/s12893-024-02343-0.pdf |
| Ending Page | 13 |
| Page Count | 13 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14712482 |
| DOI | 10.1186/s12893-024-02343-0 |
| Journal | BMC Surgery |
| Issue Number | 1 |
| Volume Number | 24 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2024-02-17 |
| Access Restriction | Open |
| Subject Keyword | Surgery Internal Medicine Severe small bowel obstruction Risk factors Houpu Paiqi mixture Prediction model Nomogram |
| Content Type | Text |
| Resource Type | Article |
| Subject | Surgery |
| Journal Impact Factor | 1.6/2023 |
| 5-Year Journal Impact Factor | 1.9/2023 |
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