Mortality prediction in cancer patients in intensive care. A single center study

Supplementary Files

Descargar el PDF (Español (España))
Download PDF version

Keywords

Neoplasms
Neoplasms Metastasis
Critical Care
Mortality
Hospital Mortality
Mortality Registries
Survival Analysis

How to Cite

Ojeda Delgado, K. S., & Rivera Rivera, T. M. (2022). Mortality prediction in cancer patients in intensive care. A single center study: Original Research. Oncology Journal (Ecuador), 32(2), 129–140. https://doi.org/10.33821/622

Abstract

Introduction:  The mortality of cancer patients admitted to an intensive care unit can be estimated using sepsis scales. The objective of the present study was to carry out a diagnostic test between the main scales in a group of cancer patients from a reference center in Guayaquil-Ecuador.

Methodology: A cross-sectional study was carried out in the intensive care unit of the "Dr. Juan Tanca Marengo" National Oncology Institute of SOLCA-Guayaquil, from October 2019 to November 2020. The sample was probabilistic of patients with a clinical oncological diagnosis admitted to the ICU. Age, type of cancer, family history, mortality, and the SOFA and APACHE II scales were recorded. Descriptive statistics are used, and a diagnostic test and a survival analysis are performed.

Results: 99 cases were analyzed, 57 ± 16 years old and 37 men (37.4%). Arterial hypertension (39.4%) and type 2 diabetes mellitus (17.1%). 12.1% cases of non-Hodgkin's lymphoma and intestinal cancer 11.1%; 17 deaths (17.2%). The overall SOFA score was 6.8 ± 3.0, and the global APACHE II score of 18.6 ± 7.0. The risk of mortality was statistically significant from the fifth day. The SOFA score >6 had a sensitivity of 88.24%, the positive predictive value (VP) was shallow, and the specificity; the negative PV was 97%. The APACHE II scale had a sensitivity of 94.12%, with a specificity of 96.34%; Positive PV, compared to the SOFA scale, was double.

Conclusion: The APACHE II scale in clinical cancer patients admitted to the ICU predicts mortality more accurately when the score exceeds 18.

https://doi.org/10.33821/622
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Copyright (c) 2022 Karen Sirley Ojeda Delgado, Tannia Rivera Rivera

Downloads

Download data is not yet available.