Prediction of post-insertion infections related to totally implantable subcutaneous venous access ports in tumor patients using a nomogram
Totally implantable subcutaneous venous access ports (TISVAPs) are essential for long-term central venous chemotherapy, delivering medication directly into the central veins of patients. While they play a critical role in reducing patient discomfort, TISVAPs pose a notable risk of post-insertion in...
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| Format: | Article |
| Language: | English |
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Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina
2025-01-01
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| Series: | Biomolecules & Biomedicine |
| Subjects: | |
| Online Access: | https://www.bjbms.org/ojs/index.php/bjbms/article/view/11583 |
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| author | Sen Wang Heng Zong Lei Tang Yuandong Wei |
| author_facet | Sen Wang Heng Zong Lei Tang Yuandong Wei |
| author_sort | Sen Wang |
| collection | DOAJ |
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Totally implantable subcutaneous venous access ports (TISVAPs) are essential for long-term central venous chemotherapy, delivering medication directly into the central veins of patients. While they play a critical role in reducing patient discomfort, TISVAPs pose a notable risk of post-insertion infections—particularly concerning for oncology patients with compromised immune systems due to aggressive treatment regimens. Our research addresses this issue by developing a predictive nomogram to estimate the risk of TISVAP-associated infections. The model is based on independent risk factors identified in our study: a history of diabetes, the type of chemotherapy, peripheral blood leukocyte count (WBC), and serum albumin levels. Using retrospective clinical data from 309 oncology patients who underwent TISVAP implantation at a tertiary A-grade comprehensive hospital, we divided the dataset into training (n=246) and validation (n=63) subsets. Through logistic and Lasso regression analyses, we identified the independent risk factors associated with infections. The resulting interactive nomogram demonstrated strong accuracy and reliability, with C-indexes of 0.82 and 0.835 for the training and validation sets, respectively. This tool equips healthcare providers to proactively identify high-risk patients and tailor preventive strategies accordingly. Ultimately, our research aims to enhance patient outcomes and improve the quality of life for those undergoing long-term venous chemotherapy.
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| format | Article |
| id | doaj-art-5f02a33c82064174b4d92d2069243124 |
| institution | Kabale University |
| issn | 2831-0896 2831-090X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Association of Basic Medical Sciences of Federation of Bosnia and Herzegovina |
| record_format | Article |
| series | Biomolecules & Biomedicine |
| spelling | doaj-art-5f02a33c82064174b4d92d20692431242025-01-06T16:39:05ZengAssociation of Basic Medical Sciences of Federation of Bosnia and HerzegovinaBiomolecules & Biomedicine2831-08962831-090X2025-01-0110.17305/bb.2024.11583Prediction of post-insertion infections related to totally implantable subcutaneous venous access ports in tumor patients using a nomogramSen Wang0Heng Zong1Lei Tang2Yuandong Wei3Department of medical oncology, Anhui Provincial People’s Hospital, Hefei, ChinaDepartment of medical oncology, Anhui Provincial People’s Hospital, Hefei, ChinaDepartment of medical oncology, Anhui Provincial People’s Hospital, Hefei, ChinaDepartment of medical oncology, Anhui Provincial People’s Hospital, Hefei, China Totally implantable subcutaneous venous access ports (TISVAPs) are essential for long-term central venous chemotherapy, delivering medication directly into the central veins of patients. While they play a critical role in reducing patient discomfort, TISVAPs pose a notable risk of post-insertion infections—particularly concerning for oncology patients with compromised immune systems due to aggressive treatment regimens. Our research addresses this issue by developing a predictive nomogram to estimate the risk of TISVAP-associated infections. The model is based on independent risk factors identified in our study: a history of diabetes, the type of chemotherapy, peripheral blood leukocyte count (WBC), and serum albumin levels. Using retrospective clinical data from 309 oncology patients who underwent TISVAP implantation at a tertiary A-grade comprehensive hospital, we divided the dataset into training (n=246) and validation (n=63) subsets. Through logistic and Lasso regression analyses, we identified the independent risk factors associated with infections. The resulting interactive nomogram demonstrated strong accuracy and reliability, with C-indexes of 0.82 and 0.835 for the training and validation sets, respectively. This tool equips healthcare providers to proactively identify high-risk patients and tailor preventive strategies accordingly. Ultimately, our research aims to enhance patient outcomes and improve the quality of life for those undergoing long-term venous chemotherapy. https://www.bjbms.org/ojs/index.php/bjbms/article/view/11583Totally implantable subcutaneous venous access portsTISVAPsnomogrampost-insertion infectionsindependent risk factorspredictive model |
| spellingShingle | Sen Wang Heng Zong Lei Tang Yuandong Wei Prediction of post-insertion infections related to totally implantable subcutaneous venous access ports in tumor patients using a nomogram Biomolecules & Biomedicine Totally implantable subcutaneous venous access ports TISVAPs nomogram post-insertion infections independent risk factors predictive model |
| title | Prediction of post-insertion infections related to totally implantable subcutaneous venous access ports in tumor patients using a nomogram |
| title_full | Prediction of post-insertion infections related to totally implantable subcutaneous venous access ports in tumor patients using a nomogram |
| title_fullStr | Prediction of post-insertion infections related to totally implantable subcutaneous venous access ports in tumor patients using a nomogram |
| title_full_unstemmed | Prediction of post-insertion infections related to totally implantable subcutaneous venous access ports in tumor patients using a nomogram |
| title_short | Prediction of post-insertion infections related to totally implantable subcutaneous venous access ports in tumor patients using a nomogram |
| title_sort | prediction of post insertion infections related to totally implantable subcutaneous venous access ports in tumor patients using a nomogram |
| topic | Totally implantable subcutaneous venous access ports TISVAPs nomogram post-insertion infections independent risk factors predictive model |
| url | https://www.bjbms.org/ojs/index.php/bjbms/article/view/11583 |
| work_keys_str_mv | AT senwang predictionofpostinsertioninfectionsrelatedtototallyimplantablesubcutaneousvenousaccessportsintumorpatientsusinganomogram AT hengzong predictionofpostinsertioninfectionsrelatedtototallyimplantablesubcutaneousvenousaccessportsintumorpatientsusinganomogram AT leitang predictionofpostinsertioninfectionsrelatedtototallyimplantablesubcutaneousvenousaccessportsintumorpatientsusinganomogram AT yuandongwei predictionofpostinsertioninfectionsrelatedtototallyimplantablesubcutaneousvenousaccessportsintumorpatientsusinganomogram |