Predictive model for meningitis after pituitary tumor resection by endoscopic nasal trans-sphenoidal sinus approach
Abstract Background Meningitis is a significant complication following nasal trans-sphenoidal surgery for pituitary tumor resection. Meningitis increases hospital stays and costs, posing a burden to both patients and healthcare systems. This study aimed to develop a perioperative predictive model fo...
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| Format: | Article |
| Language: | English |
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BMC
2025-08-01
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| Series: | European Journal of Medical Research |
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| Online Access: | https://doi.org/10.1186/s40001-025-03016-1 |
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| author | Peiyun Zhou Jianan Shi Zongke Long Bingyan Zhang Wenran Qu Huimin Wei Simeng Zhang Xiaorong Luan |
| author_facet | Peiyun Zhou Jianan Shi Zongke Long Bingyan Zhang Wenran Qu Huimin Wei Simeng Zhang Xiaorong Luan |
| author_sort | Peiyun Zhou |
| collection | DOAJ |
| description | Abstract Background Meningitis is a significant complication following nasal trans-sphenoidal surgery for pituitary tumor resection. Meningitis increases hospital stays and costs, posing a burden to both patients and healthcare systems. This study aimed to develop a perioperative predictive model for meningitis based on key factors, such as the operation duration, tumor diameter, and intraoperative cerebrospinal fluid (CSF) leakage. Methods A retrospective analysis was conducted on patients undergoing pituitary tumor resection via the nasal trans-sphenoidal approach. Predictive factors for meningitis, including operation duration, tumor diameter, and intraoperative CSF leakage, were analyzed. The model's predictive efficacy was evaluated using the collected data. Results Meningitis occurred in 8.7% of cases (35/401). Intraoperative CSF leakage, observed in 24.2% of cases, significantly increased the risk of infection. The tumor diameter was also linked to higher infection rates. The constructed model demonstrated good predictive performance, allowing for early risk identification. Conclusions This study developed a predictive model for Meningitis after pituitary tumor resection using the operation duration, tumor diameter, and CSF leakage. The model provides healthcare professionals with an effective tool to assess infection risk and implement timely intervention strategies to improve patient outcomes. Graphical Abstract |
| format | Article |
| id | doaj-art-c3de21f2673649f4adfcd6f71f2f4824 |
| institution | DOAJ |
| issn | 2047-783X |
| language | English |
| publishDate | 2025-08-01 |
| publisher | BMC |
| record_format | Article |
| series | European Journal of Medical Research |
| spelling | doaj-art-c3de21f2673649f4adfcd6f71f2f48242025-08-20T03:04:26ZengBMCEuropean Journal of Medical Research2047-783X2025-08-0130111010.1186/s40001-025-03016-1Predictive model for meningitis after pituitary tumor resection by endoscopic nasal trans-sphenoidal sinus approachPeiyun Zhou0Jianan Shi1Zongke Long2Bingyan Zhang3Wenran Qu4Huimin Wei5Simeng Zhang6Xiaorong Luan7School of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong UniversitySchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong UniversitySchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong UniversitySchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong UniversitySchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong UniversitySchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong UniversitySchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong UniversitySchool of Nursing and Rehabilitation, Cheeloo College of Medicine, Shandong UniversityAbstract Background Meningitis is a significant complication following nasal trans-sphenoidal surgery for pituitary tumor resection. Meningitis increases hospital stays and costs, posing a burden to both patients and healthcare systems. This study aimed to develop a perioperative predictive model for meningitis based on key factors, such as the operation duration, tumor diameter, and intraoperative cerebrospinal fluid (CSF) leakage. Methods A retrospective analysis was conducted on patients undergoing pituitary tumor resection via the nasal trans-sphenoidal approach. Predictive factors for meningitis, including operation duration, tumor diameter, and intraoperative CSF leakage, were analyzed. The model's predictive efficacy was evaluated using the collected data. Results Meningitis occurred in 8.7% of cases (35/401). Intraoperative CSF leakage, observed in 24.2% of cases, significantly increased the risk of infection. The tumor diameter was also linked to higher infection rates. The constructed model demonstrated good predictive performance, allowing for early risk identification. Conclusions This study developed a predictive model for Meningitis after pituitary tumor resection using the operation duration, tumor diameter, and CSF leakage. The model provides healthcare professionals with an effective tool to assess infection risk and implement timely intervention strategies to improve patient outcomes. Graphical Abstracthttps://doi.org/10.1186/s40001-025-03016-1MeningitisPituitary tumorNasal trans-sphenoidal surgeryPituitary adenomasAntimicrobial drugIntracranial tumor |
| spellingShingle | Peiyun Zhou Jianan Shi Zongke Long Bingyan Zhang Wenran Qu Huimin Wei Simeng Zhang Xiaorong Luan Predictive model for meningitis after pituitary tumor resection by endoscopic nasal trans-sphenoidal sinus approach European Journal of Medical Research Meningitis Pituitary tumor Nasal trans-sphenoidal surgery Pituitary adenomas Antimicrobial drug Intracranial tumor |
| title | Predictive model for meningitis after pituitary tumor resection by endoscopic nasal trans-sphenoidal sinus approach |
| title_full | Predictive model for meningitis after pituitary tumor resection by endoscopic nasal trans-sphenoidal sinus approach |
| title_fullStr | Predictive model for meningitis after pituitary tumor resection by endoscopic nasal trans-sphenoidal sinus approach |
| title_full_unstemmed | Predictive model for meningitis after pituitary tumor resection by endoscopic nasal trans-sphenoidal sinus approach |
| title_short | Predictive model for meningitis after pituitary tumor resection by endoscopic nasal trans-sphenoidal sinus approach |
| title_sort | predictive model for meningitis after pituitary tumor resection by endoscopic nasal trans sphenoidal sinus approach |
| topic | Meningitis Pituitary tumor Nasal trans-sphenoidal surgery Pituitary adenomas Antimicrobial drug Intracranial tumor |
| url | https://doi.org/10.1186/s40001-025-03016-1 |
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