Antibiotic-Resistant Septicemia in Pediatric Oncology Patients Associated with Post-Therapeutic Neutropenic Fever.
Rosalino Vázquez-LópezOmar Rivero RojasAndrea Ibarra MorenoJosé Erik Urrutia FavilaAdan Peña BarretoGuadalupe Lizeth Ortega OrtuñoJorge Andrés Abello VaamondeIvanka Alejandra Aguilar VelazcoJosé Marcos Félix CastroSandra Georgina Solano-GálvezTomás Barrientos FortesJuan Antonio Gonzalez-BarriosPublished in: Antibiotics (Basel, Switzerland) (2019)
Death in cancer patients can be caused by the progression of tumors, their malignity, or other associated conditions such as sepsis, which is a multiphasic host response to a pathogen that can be significantly amplified by endogenous factors. Its incidence is continuously rising, which reflects the increasing number of sick patients at a higher risk of infection, especially those that are elderly, pediatric, or immunosuppressed. Sepsis appears to be directly associated with oncological treatment and fatal septic shock. Patients with a cancer diagnosis face a much higher risk of infections after being immunosuppressed by chemotherapy, radiotherapy, or anti-inflammatory therapy, especially caused by non-pathogenic, Gram-negative, and multidrug-resistant pathogens. There is a notorious difference between the incidence and mortality rates related to sepsis in pediatric oncologic patients between developed and developing countries: they are much higher in developing countries, where investment for diagnosis and treatment resources, infrastructure, medical specialists, cancer-related control programs, and post-therapeutic care is insufficient. This situation not only limits but also reduces the life expectancy of treated pediatric oncologic patients, and demands higher costs from the healthcare systems. Therefore, efforts must aim to limit the progression of sepsis conditions, applying the most recommended therapeutic regimens as soon as the initial risk factors are clinically evident-or even before they are, as when taking advantage of machine learning prediction systems to analyze data.
Keyphrases
- septic shock
- healthcare
- risk factors
- multidrug resistant
- end stage renal disease
- gram negative
- machine learning
- newly diagnosed
- chronic kidney disease
- acute kidney injury
- prognostic factors
- peritoneal dialysis
- type diabetes
- palliative care
- squamous cell carcinoma
- anti inflammatory
- radical prostatectomy
- pseudomonas aeruginosa
- escherichia coli
- big data
- chronic pain
- robot assisted
- cardiovascular disease
- artificial intelligence
- mesenchymal stem cells
- data analysis
- radiation induced
- patient reported
- affordable care act