Chemotherapy and radiotherapy’s toxicity prediction in the surgical cancer patient
<p><strong>Foundation</strong>: the toxicity associated with chemotherapy and radiotherapy treatments increases morbidity and mortality in cancer patients.<br /><strong>Objective</strong>: to design a predictive model of chemotherapy and radiotherapy toxicity in s...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | Spanish |
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Centro Provincial de Información de Ciencias Médicas. Cienfuegos
2023-10-01
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| Series: | Medisur |
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| Online Access: | http://medisur.sld.cu/index.php/medisur/article/view/5793 |
| _version_ | 1797277620184809472 |
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| author | Juan Carlos Arranz Pozo Zaily Fuentes Díaz Migdolis Savigne Daudinot Orlando Rodríguez Salazar Tania Victoria Puerto Pérez |
| author_facet | Juan Carlos Arranz Pozo Zaily Fuentes Díaz Migdolis Savigne Daudinot Orlando Rodríguez Salazar Tania Victoria Puerto Pérez |
| author_sort | Juan Carlos Arranz Pozo |
| collection | DOAJ |
| description | <p><strong>Foundation</strong>: the toxicity associated with chemotherapy and radiotherapy treatments increases morbidity and mortality in cancer patients.<br /><strong>Objective</strong>: to design a predictive model of chemotherapy and radiotherapy toxicity in surgical cancer patients.<br /><strong>Methods</strong>: analytical, case-control study, in surgical oncology patients who met the inclusion criteria for the prediction of preoperative toxicity, from January to December 2022, at the María Curie Provincial Teaching Oncology Hospital in Camagüey. Using the Statistical Package for the Social Sciences, a random sample of 334 patients was selected, 197 without toxicity (control group) and 137 with toxicity (study group). Toxicity predictors were estimated using binary logistic regression. The model with the best fit was selected.<br /><strong>Results</strong>: the model in step three predicts an overall percentage of 83.5% with respect to the observed values. The sensitivity turned out to be 81.8; and the specificity, 84.8. The model presented good discriminative power. The variables in the equation were: arterial hypertension, left ventricular ejection fraction, and anemia. The comparison of the prediction with reality, using the Receiver Operating Characteristic curve, determined an area under the curve of 0.901.<br /><strong>Conclusion</strong>: a logistic regression function was obtained that allowed the estimation of the toxicity probability elective surgical cancer patients, which provided a tool for its prediction from the preoperative period.<br /><br /></p> |
| first_indexed | 2024-03-07T15:51:59Z |
| format | Article |
| id | doaj.art-18fae701d5c3412aba179a7a6fbdaf1c |
| institution | Directory Open Access Journal |
| issn | 1727-897X |
| language | Spanish |
| last_indexed | 2024-03-07T15:51:59Z |
| publishDate | 2023-10-01 |
| publisher | Centro Provincial de Información de Ciencias Médicas. Cienfuegos |
| record_format | Article |
| series | Medisur |
| spelling | doaj.art-18fae701d5c3412aba179a7a6fbdaf1c2024-03-04T23:09:56ZspaCentro Provincial de Información de Ciencias Médicas. CienfuegosMedisur1727-897X2023-10-01215100810132386Chemotherapy and radiotherapy’s toxicity prediction in the surgical cancer patientJuan Carlos Arranz Pozo0Zaily Fuentes Díaz1Migdolis Savigne Daudinot2Orlando Rodríguez Salazar3Tania Victoria Puerto Pérez4Hospital Pediátrico Provincial Docente Dr. Eduardo Agramonte Piña. CamagüeyHospital Provincial Docente Oncológico María Curie. CamagüeyHospital Provincial Clínico- Quirúrgico Docente Amalia Simoni Argilagos. CamagüeyHospital Provincial Docente Clínico-Quirúrgico Manuel Ascunce Domenech. CamagüeyUniversidad de Ciencias Médicas. Camagüey<p><strong>Foundation</strong>: the toxicity associated with chemotherapy and radiotherapy treatments increases morbidity and mortality in cancer patients.<br /><strong>Objective</strong>: to design a predictive model of chemotherapy and radiotherapy toxicity in surgical cancer patients.<br /><strong>Methods</strong>: analytical, case-control study, in surgical oncology patients who met the inclusion criteria for the prediction of preoperative toxicity, from January to December 2022, at the María Curie Provincial Teaching Oncology Hospital in Camagüey. Using the Statistical Package for the Social Sciences, a random sample of 334 patients was selected, 197 without toxicity (control group) and 137 with toxicity (study group). Toxicity predictors were estimated using binary logistic regression. The model with the best fit was selected.<br /><strong>Results</strong>: the model in step three predicts an overall percentage of 83.5% with respect to the observed values. The sensitivity turned out to be 81.8; and the specificity, 84.8. The model presented good discriminative power. The variables in the equation were: arterial hypertension, left ventricular ejection fraction, and anemia. The comparison of the prediction with reality, using the Receiver Operating Characteristic curve, determined an area under the curve of 0.901.<br /><strong>Conclusion</strong>: a logistic regression function was obtained that allowed the estimation of the toxicity probability elective surgical cancer patients, which provided a tool for its prediction from the preoperative period.<br /><br /></p>http://medisur.sld.cu/index.php/medisur/article/view/5793anestesia y analgesiaquimioterapianeoplasiasevaluación preoperatoriatoxicidadefectos colaterales y reacciones adversas relacionados con medicamentos |
| spellingShingle | Juan Carlos Arranz Pozo Zaily Fuentes Díaz Migdolis Savigne Daudinot Orlando Rodríguez Salazar Tania Victoria Puerto Pérez Chemotherapy and radiotherapy’s toxicity prediction in the surgical cancer patient Medisur anestesia y analgesia quimioterapia neoplasias evaluación preoperatoria toxicidad efectos colaterales y reacciones adversas relacionados con medicamentos |
| title | Chemotherapy and radiotherapy’s toxicity prediction in the surgical cancer patient |
| title_full | Chemotherapy and radiotherapy’s toxicity prediction in the surgical cancer patient |
| title_fullStr | Chemotherapy and radiotherapy’s toxicity prediction in the surgical cancer patient |
| title_full_unstemmed | Chemotherapy and radiotherapy’s toxicity prediction in the surgical cancer patient |
| title_short | Chemotherapy and radiotherapy’s toxicity prediction in the surgical cancer patient |
| title_sort | chemotherapy and radiotherapy s toxicity prediction in the surgical cancer patient |
| topic | anestesia y analgesia quimioterapia neoplasias evaluación preoperatoria toxicidad efectos colaterales y reacciones adversas relacionados con medicamentos |
| url | http://medisur.sld.cu/index.php/medisur/article/view/5793 |
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