Predicting Length of Hospital Stay in Oral Cavity Cancer Surgery: A Nomogram-based Approach
Objective: The objective of the study was to develop a nomogram for the prediction of length of hospital stay (LOS) in patients undergoing oral cavity cancer surgery. Background: LOS is an important indicator of patient recovery and healthcare resource utilization in OSCS. Several factors influence...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2024-12-01
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| Series: | Journal of Head & Neck Physicians and Surgeons |
| Subjects: | |
| Online Access: | https://journals.lww.com/10.4103/jhnps.jhnps_97_24 |
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| author | Sagarika Gopalkrishnan Hitesh Rajendra Singhavi Sudhir Nair Arjun Gurmeet Singh Rathan Shetty Sadhana Kannan Pankaj Chaturvedi |
| author_facet | Sagarika Gopalkrishnan Hitesh Rajendra Singhavi Sudhir Nair Arjun Gurmeet Singh Rathan Shetty Sadhana Kannan Pankaj Chaturvedi |
| author_sort | Sagarika Gopalkrishnan |
| collection | DOAJ |
| description | Objective:
The objective of the study was to develop a nomogram for the prediction of length of hospital stay (LOS) in patients undergoing oral cavity cancer surgery.
Background:
LOS is an important indicator of patient recovery and healthcare resource utilization in OSCS. Several factors influence LOS, including patient-related, disease-related, and healthcare system-related factors.
Methods:
We retrospectively analyzed data from 874 OSCS patients treated at our institution between 2016 and 2020. Multivariate logistic regression was used to identify factors associated with LOS of more than 7 days. A nomogram was developed based on the significant factors.
Results:
The following factors were significantly associated with longer LOS: advanced tumor stage (odds ratio [OR] = 3.21, P < 0.001), type of reconstruction (free flap: OR = 2.43, P < 0.001; regional flap: OR = 1.82, P = 0.002), ASA grade ≥3 (OR = 1.67, P = 0.002), and extensive primary surgery (OR = 1.53, P = 0.012). The nomogram showed good discrimination, with an area under the receiver operating characteristic curve of 0.699.
Conclusion:
The nomogram developed in this study can be used to predict LOS in OSCS patients, which may help to optimize resource allocation and improve patient care. |
| format | Article |
| id | doaj-art-1eccfeafa85e458995e931799a62e57d |
| institution | Kabale University |
| issn | 2347-8128 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Journal of Head & Neck Physicians and Surgeons |
| spelling | doaj-art-1eccfeafa85e458995e931799a62e57d2025-01-11T15:21:38ZengWolters Kluwer Medknow PublicationsJournal of Head & Neck Physicians and Surgeons2347-81282024-12-0112213513910.4103/jhnps.jhnps_97_24Predicting Length of Hospital Stay in Oral Cavity Cancer Surgery: A Nomogram-based ApproachSagarika GopalkrishnanHitesh Rajendra SinghaviSudhir NairArjun Gurmeet SinghRathan ShettySadhana KannanPankaj ChaturvediObjective: The objective of the study was to develop a nomogram for the prediction of length of hospital stay (LOS) in patients undergoing oral cavity cancer surgery. Background: LOS is an important indicator of patient recovery and healthcare resource utilization in OSCS. Several factors influence LOS, including patient-related, disease-related, and healthcare system-related factors. Methods: We retrospectively analyzed data from 874 OSCS patients treated at our institution between 2016 and 2020. Multivariate logistic regression was used to identify factors associated with LOS of more than 7 days. A nomogram was developed based on the significant factors. Results: The following factors were significantly associated with longer LOS: advanced tumor stage (odds ratio [OR] = 3.21, P < 0.001), type of reconstruction (free flap: OR = 2.43, P < 0.001; regional flap: OR = 1.82, P = 0.002), ASA grade ≥3 (OR = 1.67, P = 0.002), and extensive primary surgery (OR = 1.53, P = 0.012). The nomogram showed good discrimination, with an area under the receiver operating characteristic curve of 0.699. Conclusion: The nomogram developed in this study can be used to predict LOS in OSCS patients, which may help to optimize resource allocation and improve patient care.https://journals.lww.com/10.4103/jhnps.jhnps_97_24length of hospital staynomogramoral cancerpredictionprognostic factors |
| spellingShingle | Sagarika Gopalkrishnan Hitesh Rajendra Singhavi Sudhir Nair Arjun Gurmeet Singh Rathan Shetty Sadhana Kannan Pankaj Chaturvedi Predicting Length of Hospital Stay in Oral Cavity Cancer Surgery: A Nomogram-based Approach Journal of Head & Neck Physicians and Surgeons length of hospital stay nomogram oral cancer prediction prognostic factors |
| title | Predicting Length of Hospital Stay in Oral Cavity Cancer Surgery: A Nomogram-based Approach |
| title_full | Predicting Length of Hospital Stay in Oral Cavity Cancer Surgery: A Nomogram-based Approach |
| title_fullStr | Predicting Length of Hospital Stay in Oral Cavity Cancer Surgery: A Nomogram-based Approach |
| title_full_unstemmed | Predicting Length of Hospital Stay in Oral Cavity Cancer Surgery: A Nomogram-based Approach |
| title_short | Predicting Length of Hospital Stay in Oral Cavity Cancer Surgery: A Nomogram-based Approach |
| title_sort | predicting length of hospital stay in oral cavity cancer surgery a nomogram based approach |
| topic | length of hospital stay nomogram oral cancer prediction prognostic factors |
| url | https://journals.lww.com/10.4103/jhnps.jhnps_97_24 |
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