A novel risk classifier to predict the in-hospital death risk of nosocomial infections in elderly cancer patients

A Jiang, Y Li, N Zhao, X Shang, N Liu… - Frontiers in Cellular …, 2023 - frontiersin.org
Background Elderly cancer patients are more predisposed to developing nosocomial
infections during anti-neoplastic treatment, and are associated with a bleaker prognosis …

Establishment and validation of a nomogram to predict the in-hospital death risk of nosocomial infections in cancer patients

A Jiang, X Shi, H Zheng, N Liu, S Chen, H Gao… - … Resistance & Infection …, 2022 - Springer
Background Attributed to the immunosuppression caused by malignancy itself and its
treatments, cancer patients are vulnerable to developing nosocomial infections. This study …

Establishment of a risk classifier to predict the in-hospital death risk of nosocomial fungal infections in cancer patients

R Wang, A Jiang, R Zhang, C Shi, Q Ding, S Liu… - BMC Infectious …, 2023 - Springer
Background Patients with malignancy are at a higher risk of developing nosocomial
infections. However, limited studies investigated the clinical features and prognostic factors …

Development and validation of a new risk scoring system for solid tumor patients with suspected infection

B Chae, S Kim, YS Lee - Scientific Reports, 2022 - nature.com
This study aimed to develop a new prognostic model for predicting 30-day mortality in solid
tumor patients with suspected infection. This study is a retrospective cohort study and was …

Prediction of postoperative infectious complications in elderly patients with colorectal cancer: a study based on improved machine learning

Y Tian, R Li, G Wang, K Xu, H Li, L He - BMC Medical Informatics and …, 2024 - Springer
Background Infectious complications after colorectal cancer (CRC) surgery increase
perioperative mortality and are significantly associated with poor prognosis. We aimed to …

A simple novel model to predict hospital mortality, surgical site infection, and pneumonia in elderly patients undergoing operation

TS Huang, FC Hu, CW Fan, CH Lee, SC Jwo… - Digestive surgery, 2010 - karger.com
Abstract Background/Aims: Predicting models of operative morbidity and mortality in the
geriatric population are important in the prevention of adverse surgical outcomes. Methods …

Using machine learning algorithms to predict 28-day mortality in critically ill elderly patients with colorectal cancer

C Guo, J Pan, S Tian, Y Gao - Journal of International …, 2023 - journals.sagepub.com
Objective To predict the 28-day mortality of critically ill, elderly patients with colorectal cancer
(CRC) using five machine learning approaches. Methods Data were extracted from the eICU …

A simple score to predict early death in adult cancer patients with bloodstream infections

E Velasco, RD Portugal, JIF Salluh - Journal of Infection, 2009 - Elsevier
OBJECTIVE: To develop a simple score to predict early death in adult cancer patients with
bloodstream infection. METHODS: A prediction score was developed by analyzing data …

Survival and predictive factors related to comprehensive geriatric assessment for the occurrence of healthcare-associated infections (HAI): A cohort study with elderly …

GM Pires, J Telles O Lima, LT Sales, MJG Mello… - 2018 - ascopubs.org
e22053 Background: Elderly oncology population (EOP) corresponds to an increasing and
heterogeneous group with high risk to infectious complications. Advances in antimicrobial …

Analysis of death risk factors for nosocomial infection patients in an ICU: a retrospective review of 864 patients from 2009 to 2015

J Wang, P Gao, S Guo, Y Liu, L Shao… - Zhonghua wei Zhong …, 2016 - europepmc.org
Objective To investigate the mortality risk factors of nosocomial infection patients in intensive
care unit (ICU), and to guide clinicians to take effective control measures. Methods A …