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Showing 2 results for Survival Analysis
The strong predictive role and their day-dependent behavior of blood urea nitrogen and complete blood count in covid-19’s inpatients prognosis
Mohammad Fayaz, Vahid Tajari, Mohammad Hosein Taziki Balajelini, Abdolhalim Rajabi, Seyed Mehran Hosseini,
Volume 18, Issue 1 (1-2024)
Abstract
Background: The outcome of hospitalized COVID-19 patients is predictable according to demographic, clinical, laboratory, and imaging risk factors. We aimed to determine the best outcome predictors and their trends during 30 days of hospitalization.
Methods: This retrospective study was conducted on moderate to severe hospitalized COVID-19 patients from 26 January 2020 to 13 January 2021. The length of stay in the hospital was considered as the time interval between admission and discharge, and the patient's final condition was defined as either dead or alive. Demographic, clinical, and laboratory data were collected from the hospital information system. The generalized additive model and the Cox regression model were used to model data.
Results: Of the 1520 hospitalized COVID-19 patients, 232 (15.26%) died and 1288 survived or reached the end of 30 days of hospitalization. We selected demographic, clinical, and 131 independent laboratory variables. Blood urea nitrogen (BUN) had a nearly double average in the dead group (44.603 [± 25.408] mg/dL) than the survived group (21.304 [± 13.318] mg/dL), and the lymphocyte (Lymph) count showed the opposite trend. The estimated hazard ratio (HR) of these 2 factors was higher than 1 and was statistically significant. In daily stay trends, the hazard function of them also increased rapidly after 15 days.
Conclusion: Blood urea nitrogen and complete blood count provide strong predictive clues about the prognosis of hospitalized COVID-19 patients, and rapid dynamic changes in the second week can predict a poor outcome in these patients.
Clinicopathological Features and Survival Outcomes of Pediatric Mediastinal Tumors: A 10-Year Retrospective Study
Mahlagha Zahedi, Sahar Abasinia,
Volume 20, Issue 2 (6-2026)
Abstract

Background and objectives: Primary mediastinal masses account for 3% of all chest tumors. Given their varied clinical presentations and the need for accurate diagnosis, this study investigates the clinicopathological features and survival outcomes of children with primary mediastinal masses admitted to Shahid Sadoughi Hospital, Yazd, Iran, from 2011 to 2021.
Materials and Methods: In this descriptive cross-sectional study, 17 children under 18 years with primary mediastinal masses were examined using census sampling. Data were collected via a checklist covering age, sex, tumor location, symptoms, tumor type, treatment received, and malignancy status. Prognosis and survival were tracked. Statistical analysis was performed using SPSS 22, employing Kaplan-Meier and Log-Rank tests for survival assessment.
Results: Among the 17 patients, 12 (70.6%) were girls and 5 (29.4%) boys. Five patients (29.4%) died during follow-up. Nine tumors (53%) were benign and eight (47%) malignant. Ganglioneuroma was the most frequent tumor (29.4%). Survival analysis revealed no statistically significant association between survival and surgery (P=0.222), malignancy status (P=0.158), neural origin (P=0.666), chemotherapy (P=0.057), radiotherapy (P=0.752), tumor location (P=0.661), sex (P=0.670), or age (P=0.877).
Conclusion: The study suggests that the distribution of histological types of primary mediastinal masses in children is influenced by anatomical location. However, factors such as age, sex, treatment type, and tumor location do not significantly affect survival outcomes in these patients.

 


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