Objectives: Unplanned hospital admission following chemotherapy is a measure of quality cancer care. Large retrospective datasets have shown admission rates of 10-35% for women with ovarian cancer receiving chemotherapy. We sought to evaluate the prevalence and associated risk factors for hospital admission following chemotherapy in our racially diverse urban population.
Methods: After IRB approval, clinicopathologic and treatment data were abstracted from all patients with newly diagnosed epithelial ovarian cancer who received chemotherapy at our institution from 2005 to 2016. Two-sided statistical analyses and Cox regression analysis were performed using Stata.
Results: Of 217 evaluable patients, 87 (40%) had unplanned admissions following chemotherapy: adjuvant 64 (74%) and neoadjuvant 23(26%). Thirty (14%) had more than one admission. In total, there were 1314 days of hospitalization. The median readmission duration was 3 days. Body mass index and hypertension were predictive of readmission (p < 0.05). When comparing those readmitted more than once to those admitted once, both race and aspirin use were predictive of readmission (p < 0.05). Of those admitted more than once the self-identified race and ethnicity was 12 (40%) Hispanic, 8 (27%) White, 8 (27%) Black and 2 (7%) other. There was a significant difference in disease free (p = 0.01) and overall survival (p = 0.004) for patients with unplanned admission after chemotherapy as compared to those without admission.
Conclusions: Readmission rates in our racially diverse patient population were higher than previously reported in the literature. Identifying patients at risk of readmission may play a role in chemotherapy decision-making, and resource allocation including patient care navigators.
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http://dx.doi.org/10.1016/j.ygyno.2018.08.021 | DOI Listing |
Menopause
January 2025
From the Department of Neurosurgery, Chongqing General Hospital, Chongqing University, Chongqing, China.
Objective: Gliomas are the most common primary brain tumors in adults, and the role of hormone therapy (HT) in their development remains controversial. This study with a cohort design aimed to investigate the association between HT use and glioma risk using the data from the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial.
Methods: We analyzed data from 75,335 women, aged 50-78, who were enrolled between 1993 and 2001.
Am J Surg Pathol
January 2025
Department of Medical and Biotechnological Sciences, University "G. D'Annunzio", Via dei Vestini, Chieti-Pescara Italy.
According to histopathology and molecular genetics, there are 5 major subtypes of ovarian carcinomas: high-grade serous (70%), endometrioid (10%), clear cell (10%), mucinous (3% to 4%), and low-grade serous (<5%) carcinomas. These tumors, which constitute over 95% of cases, represent distinct diseases with different prognoses and therapy. This review outlines contemporary advances in molecular pathology, which have expanded our knowledge of the biology of epithelial ovarian cancer and are also important to patient management.
View Article and Find Full Text PDFHistol Histopathol
December 2024
Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Solna, Sweden.
Aim: Ovarian cancer (OC) is a fatal female malignant tumor that severely impacts the health of women worldwide. Due to the lack of diagnostic biomarkers, 70% of OC patients are considered in the advanced stage at the first diagnosis. Exploring novel biomarkers for OC diagnosis has become an urgent clinical need to address.
View Article and Find Full Text PDFOncol Lett
March 2025
Department of Obstetrics and Gynecology, Mie University School of Medicine, Tsu, Mie 514-8507, Japan.
Ovarian cancer has a poor prognosis, and screening methods have not been established. Biomarkers based on molecular genetic characteristics must be identified to develop diagnostic and therapeutic strategies for all cancer types, particularly ovarian cancer. The present study aimed to evaluate the usefulness of genetic analysis of cervical and endometrial liquid-based cytology (LBC) specimens for detecting somatic mutations in patients with ovarian cancer.
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