Chidambaran, Sneha. Comparative study for hospitalization characteristics and predictors of ovarian cancer of inpatients in the United States. Retrieved from https://doi.org/doi:10.7282/t3-8ygb-3437
DescriptionOvarian cancer is the second most common type of gynecologic cancer, and it causes more death than any other female reproductive cancer. It is the 7th most common women's cancer. The objective of the present study is to highlight the risk factors of ovarian cancer related to hospitalization outcomes such as mortality, length of stay, and total medical charges when there is a presence of Congestive heart failure and other complications. The study implemented a cross-sectional design to achieve the primary objectives. Data were downloaded and extracted, with permission, from Nationwide Inpatient Sample (NIS). The collected data included patient demographic characteristics, such as age, gender, race, and income. Statistical Package for the Social Sciences (SPSS) version 28.0 was used to analyze the present study's data, and all outcomes with a p-value less than 0.05 were found to be significant. Overall mortality showed a higher incidence of epithelial ovarian cancer. The incidence of mortality increased with congestive heart failure (CHF) and hypertension (HT), in which the patients with HT had a higher death rate with epithelial ovarian cancer than CHF. Regarding the length of stay, increasing age and being white results in an average decrease in length of stay. Those patients with weight loss comorbidities resulted in the greatest mean increase in length of stay. The increasing number of diagnoses, procedures, age, and being Hispanic results in an average increase in total cost. Being white or black results in an average decrease in total cost. The deceased risk of dying was associated with the number of procedures. Increased age and number of diagnoses were associated with an increased likelihood of dying. The increase in procedures and SES will increase the length of stay. And when it comes to comorbidities, among those with hypertension, these predictors are significant. The predictors of mortality were assessed by age and number of diagnoses, which were associated with an increased likelihood of dying.