Suenghataiphorn, Thanathip

182 Background: Recent data showed the detrimental effects of COVID-19 infection on various conditions, resulting in a wide range of health disparities and worsening outcomes, as well as an increased burden of cost. However, limited information exists on the impacts of COVID-19 infection on the most commonly admitted with primary cancer, regarding clinical and economic impact. Methods: We analyzed the 2020 U.S. National Inpatient Sample (NIS) to investigate the effects of COVID-19 infection on cases primarily admitted with the most common admitted with primary cancer, using relevant ICD-10 CM codes. Adjusted odds ratios (aORs) for specified outcomes were calculated through multivariable logistic and linear regression analyses. The primary outcome was inpatient mortality, with secondary outcomes including the cost of hospitalization and length of stay. Statistical significance was established at a p-value of 0.05. Results: We estimated 919,104 hospitalizations with a primary discharge diagnosis of cancer conditions. Of these, 0.54% (4,985/919,104) had a concurrent diagnosis of COVID-19 infection and 46.1% were female. The mean age was 63.6 years old and Caucasians dominated the majority of the records (69.7%), followed by Hispanics (13.1%). In a multivariable logistic and linear regression model adjusting for patient and hospital factors, COVID-19 infection was associated with higher in-hospital mortality for all cancer conditions and other outcome. The txable denotes all-type and subpopulation analysis. Conclusions: In conclusion, our study encompasses all most common admitted primary cancer conditions and shed light how COVID-19 infection is associated with higher in-hospital mortality, prolonged hospital stays, and increased economic burden in various condition. Future longitudinal studies are warranted to comprehensively assess the long-term health sequelae in this population. [Table: see text]

173 Background: Recent evidence found increase incidence of heart failure in leukemia patients, influenced by various factors such as the underlying disease and medication usage. Nevertheless, there remains a scarcity of data regarding the in-hospital outcome for individuals admitted for leukemia with comorbid acute decompensated heart failure. Thus, we aim to examine the impact of heart failure on clinical outcomes in leukemia patients. Methods: We utilized the 2020 U.S. National Inpatient Sample (NIS) to investigate patients admitted for leukemia with concurrent diagnosis of heart failure, identified through ICD-10 CM codes. Adjusted odds ratios (aORs) for predefined outcomes were determined using multivariable logistic and linear regression model, adjusting for comorbidities. The primary outcome assessed was inpatient mortality, while secondary outcomes included complications related to various body systems. Results: We identified 43,955 patients with a primary discharge diagnosis of leukemia. The mean age was 54.5 years; 49.7% were female. Caucasians accounted for 66%, followed by African Americans (13%). Of these, 11.86% (5,220/43,955) had a concurrent diagnosis of heart failure. In a survey multivariable logistic and linear regression model adjusting for patient and hospital factors, comorbid acute decompensated heart failure was associated with higher in-hospital mortality (aOR 1.57, 95% CI: 1.2, 1.94, p < 0.001), higher mean length of stay (Beta-coefficient 1.93; 95% CI: 0.65, 3.21, p = 0.003), mean total hospital cost (Beta-coefficient 9,472, 95% CI: 2,339, 16,604, p = 0.004), shock (aOR 2.41, 95% CI: 1.84, 3.15, p < 0.001), sepsis (aOR 1.71, 95%CI: 1.38, 2.12, p < 0.001), acute respiratory failure (aOR 2.37, 95% CI: 1.96, 2.87, p < 0.001), and acute kidney injury (aOR 1.57, 95% CI: 1.32, 1.85, p < 0.001). Conclusions: Our study revealed that hospitalized leukemia patients with concurrent heart failure experience higher risk of in-hospital mortality and various adverse in-hospital outcomes. Close monitoring of this factor during hospitalization is essential, and additional longitudinal research is warranted to fully understand this association.

16 Background: Breast cancer is the most frequently diagnosed cancer and the leading cause of cancer death in females worldwide. Recent data showed the detrimental effects of COVID-19 infection on other neoplasm conditions, causing increased mortality rates and complications. However, limited information exists on the specific impacts of COVID-19 infection in patients hospitalized for breast cancer, as well as racial impact differences. Methods: We analyzed the 2020 U.S. National Inpatient Sample (NIS) to investigate the effects of COVID-19 infection on cases primarily admitted due to breast cancers. Adjusted odds ratios (aORs) for specified outcomes were calculated through multivariable logistic and linear regression analyses. The primary outcome was inpatient mortality, with secondary outcomes including system-based complications. Statistical significance was established at a p-value of 0.05. Results: We identified 25,559 patients with a primary discharge diagnosis of breast cancer. The mean age was 59.7 years; 99.28% were female. In the non-COVID group, Caucasians accounted for 60%, followed by African Americans (19%). However, in the COVID-19 group, African Americans predominated with 41%, followed by Caucasian (35%) (p-value = 0.05). Of these, 0.52% (85/25,559) had a concurrent diagnosis of COVID-19 infection. In a survey multivariable logistic and linear regression model adjusting for patient and hospital factors, COVID-19 infection was associated with higher in-hospital mortality (aOR 6.07; 95% CI (1.26, 29.13), p = 0.024), higher mean length of stay(b 5.22; 95% CI (2.08,8.36) p =0.001), acute respiratory failure (aOR 4.88; 95% CI (1.51, 15.77), p = 0.008), coagulopathy (aOR 8.38; 95% CI (2.19, 32.02), p=0.002) and SIRS (aOR 6.38; 95% CI (1.25, 32.50), p = 0.026). We observed non-significant, but increased, risks of acute kidney injury (AKI), shock, and sepsis, as well as total hospitalization costs in COVID-19-positive patients. Conclusions: In conclusion, our study underscores that COVID-19 infection is associated with higher in-hospital mortality and other clinical outcomes in breast cancer patients, as well as, a disproportionated impact against some races. Future longitudinal studies are warranted to comprehensively assess the causation of these clinical outcomes in this population.

124 Background: Literature review has found profound disparities in clinical outcomes, for patient with ovarian cancer. Metastasis is the primary cause of cancer morbidity and mortality. However, data on the metastasis risks on hospitalized individuals with ovarian cancer is still limited. Therefore, we aim to assess the association between metastatic ovarian cancer and racial differences using large database analysis. Methods: We analyzed the 2020 U.S. National Inpatient Sample (NIS) to explore patients who have ovarian cancer as the primary diagnosis. Additionally, we identified evidence of metastasis, as recorded by ICD-10-CM. Adjusted odds ratios (aORs) for specified outcomes were calculated through multivariable logistic and linear regression analyses. The primary outcome was racial differences in organ metastasis and secondary outcomes included mortality and length of stay. Statistical significance was established at p-value of 0.05. Results: We identified 19,789 patients with primary diagnosis of ovarian cancer at discharge. The mean age was 61.6 years. Caucasians accounted for 68.3%, with Hispanics at 11.1 % and African Americans at 9.7%. We found that 7% of the patients had liver metastasis. In a multivariate analysis adjusting for patient, COVID-19, chemotherapy usage and hospital factors, African Americans and Hispanics had higher risk of liver metastasis (aOR 1.95; 95%CI (1.32, 2.88), p = 0.001) (aOR 1.78; 95%CI (1.19, 2.66), p = 0.004). We also observed reduced length of stay for Asian Americans (b = -0.74; 95%CI (-1.31, -0.17), p = 0.011). We observed an increase in risk of metastasis and mortality but non-statistically significant in some parameters and races, as shown in table provided. Conclusions: In conclusion, our study revealed that racial difference is associated with higher risk of metastasis, as well as other outcomes. More studies following patients over time are needed to determine if race directly affects how ovarian cancer spreads and other clinical outcomes. [Table: see text]

Background/Objective: Clostridioides difficile infection (CDI) is a common healthcare-associated ailment, presenting major health and economic challenges, especially for the elderly. Despite its prevalence, comprehensive data about CDI’s impact on the elderly are limited. Methods: This study used the Global Burden of Disease Study 2019 data to analyze CDI trends from 2000 to 2019, considering factors like sex, region, and sociodemographic index (SDI). Results: This study revealed that CDI caused approximately 18,181 deaths and 252,709 disability-adjusted life years (DALYs) among the elderly worldwide. The Americas showed the highest CDI burden, while the Eastern Mediterranean saw the steepest rate increase from 2000 to 2019. Regions with a high SDI also displayed substantial CDI impact. Conclusions: The escalating burden of CDI in the elderly, especially in high-SDI areas and the Americas, emphasizes an urgent need for targeted public health strategies.

Abstract INTRODUCTION Esophagogastroduodenoscopy is safe and beneficial in elderly patients. However, the association of dementia, which is a growing cause of mortality in the elderly, remains unexplored. We aim to understand the impact of dementia when EGD is utilized, in the elderly population group. METHODS We utilized the 2020 National Inpatient Sample to investigate records admitted with EGD utilization identified through ICD-10 CM codes. We divided records by the presence of dementia. Adjusted odds ratios (aORs) for predefined outcomes were determined using multivariable logistic and linear regression models, adjusting for comorbidities. The primary outcome assessed was inpatient mortality, while secondary outcomes included cost and length of stay, as well as other inpatient complications. RESULTS We identified 507,829 hospitalizations with ages more than 60. The mean age was 74.5 and males constituted 49.9%. In a survey multivariable logistic and linear regression model adjusting for patient and hospital factors, the presence of dementia is associated with lower inpatient mortality (aOR 0.79, 95%CI (0.68, 0.91), p = 0.002), lower hospitalization costs (beta coefficient -1,958, 95%CI (-2,653, -1,353), p <0.001), lower mechanical ventilation usage (aOR 0.87, 95%CI(0.78, 0.97), p < 0.001) but higher odds of mental status change (aOR 2.24, 95%CI (2.09, 2.40), p < 0.001) and longer length of stay (beta coefficient 0.52, 95%CI (0.30, 0.74), p <0.001),. Post-propensity matching revealed similar patterns. CONCLUSION The presence of dementia is associated with a lower risk of inpatient mortality, and other clinical outcomes, in hospitalization with EGD utilizations. Etiologies behind this relationship should be explored to understand this inverse relationship.