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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 Abbasinia ,
Volume 20, Issue 3 (7-2026)
Abstract

Background: Primary mediastinal masses account for 3% of all chest tumors. Owing to their heterogeneous clinical presentations and the need for precise diagnosis, this study evaluated the clinicopathological features and survival outcomes of children with primary mediastinal masses admitted to Shahid Sadoughi Hospital, Yazd, Iran, between 2011 and 2021.
Methods: In this descriptive cross-sectional study, 17 children under 18 years of age with primary mediastinal masses were evaluated using census sampling. Data were collected with a checklist that included age, sex, tumor location, presenting symptoms, tumor type, treatment received, and malignancy status. Prognosis and survival were subsequently assessed. Statistical analysis was performed using SPSS 22, with Kaplan-Meier and Log-rank tests applied for survival assessment.
Results: Among the 17 patients, 12 (70.6%) were girls and 5 (29.4%) were boys. Five patients (29.4%) died during follow-up. Nine tumors (53%) were benign and eight (47%) were malignant. Ganglioneuroma was the most frequent tumor type (29.4%). Survival analysis showed 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 findings suggest that the distribution of histological types of primary mediastinal masses in children is influenced by anatomical location. However, age, sex, treatment type, and tumor location were not significantly associated with survival outcomes in this cohort.


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