Background Invasive candidiasis (ICs) is one of the common causes of death in patients with solid tumors. However, studies on the clinical characteristics of ICs with solid tumors are limited. Methods The purpose of this study was to retrospectively analyse the clinical characteristics, laboratory results and risk factor prediction of inpatients with ICs and solid tumors. We reviewed the clinical data and candida specimen information of hospitalized patients diagnosed with solid tumors combined with ICs at the First Hospital of China Medical University from January 2016 to December 2020. Multivariate logistic regression analysis was used to assess the prognostic factors associated with mortality in these patients. Results A total of 243 ICs patients with solid tumors were included in this study. The average ± SD age was 62.8 ± 11.7 (range: 27–93 years old), of which nearly 41% were ≥ 65 years old (99/243, 40.7%), and most were male (162/243, 66.6%). Most patients had malignant tumors of the digestive system. The most common candida was Candida parapsilosis (101/243, 41.5%), followed by Candida guilliermondii (83/243, 34.1%), Candida albicans (32/243, 13.1%), Candida glabrata (17/243, 6.9%), Candida tropicalis (7/243, 2.8%) and Candida krusei (3/243, 1.2%). Multivariate logistic regression analysis showed that the length of stay in the ICU, urinary catheter, total parenteral nutrition, stay in the ICU, renal failure and neutrophil count were prognostic factors related to death. Conclusion In this study, based on the clinical data of solid tumor patients with ICs in the past 5 years, the results showed that the length of stay in the ICU, urinary catheter, total parenteral nutrition, stay in the ICU, renal failure and neutrophil count were identified as the main prognostic factors. This study can be used to help clinicians carry out early intervention for high-risk patients.
Objective: This study is designed to analyze the impact of COVID-19 on hospitals in a certain region through the statistical comparison of outpatient, emergency and inpatient data of three representative AAA hospitals in this region from January and February of 2019 and 2020.Methods: Relevant outpatient, emergency and inpatient data of three representative AAA hospitals in a certain region from January and February of 2019 and 2020 were collected, and the statistical analysis was conducted by using EXCEL 2019 and SPSS20.0.Results: In January and February of 2020, the number of the outpatient, the emergency, the inpatient and the inpatient surgical interventions in the three hospitals was significantly decreased in comparison with the same period in 2019, and the change of the emergency dispatching amount was relatively small. The mortality of the inpatient in January and February in 2020 was about 2.82%, and that in the same period in 2019 was about 1.51%, with an increase of about 1.31%, which presented a statistically significant difference (χ2 = 348.422; p = .000).Conclusions: The outbreak of COVID-19 had a great impact on the normal operation of the hospital.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.