Epidemiology and Predictors of Hospital Outcomes of Critically Ill Pediatric Oncology Patients: A Retrospective Study
| Autor: | Jigeeshu V Divatia, Amol Kothekar, Malini Joshi, Shilpushp J Bhosale, Atul P Kulkarni, Vijaya Patil, Sheila Nainan Myatra |
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| Rok vydání: | 2022 |
| Předmět: |
Pediatric Critical Care
medicine.medical_specialty Icu mortality Hematooncology Hospital mortality business.industry Critically ill Pediatric cancers Retrospective cohort study Critical Care and Intensive Care Medicine ICU mortality Critical care oncology Hospital outcomes ICU outcomes Solid tumors Emergency medicine Epidemiology medicine Pediatric oncology Intensive care in pediatric cancer business |
| Zdroj: | Indian Journal of Critical Care Medicine : Peer-reviewed, Official Publication of Indian Society of Critical Care Medicine |
| ISSN: | 1998-359X 0972-5229 |
| Popis: | Background The number of pediatric oncology patients admitted to the intensive care unit (ICU) has increased, and their hospital outcomes are improving. Since scarce data are available about this patient population, we conducted this retrospective study to evaluate the epidemiology and predictors of hospital outcomes. Materials and methods We included all children with cancers who were admitted to our ICU over 1 year. We excluded children admitted after elective surgery and those following bone marrow transplant. We collected data about demographics, admission diagnosis, type of malignancies, and ICU interventions. The primary outcome was the hospital outcome. The secondary outcomes were ICU length of stay (LOS), and ICU and hospital mortality. We analyzed the predictors of hospital outcome. Results Two hundred pediatric oncology patients were admitted from November 1, 2014 to October 30, 2015. Seventy-eight children had solid organ malignancies, and the rest had hematological malignancies. Hematooncology malignancy patients had significantly higher hospital mortality than those with solid organ malignancies. (61.5 vs 34.6%, p = 0.015). On multivariate regression analysis, mechanical ventilation [odds ratio (OR), 14.64; 95% confidence interval (CI): 1.23–165.05; p |
| Databáze: | OpenAIRE |
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