Wattanachayakul, Phuuwadith

29 Background: Previous research highlights central nervous system (CNS) malignancy as significant contributors to disability-adjusted life-years. However, there's a lack of information on the impact of COVID-19 infection in hospitalized CNS malignancy patients. Methods: Using the 2020 U.S. National Inpatient Sample (NIS), we investigated the impact of COVID-19 infection affected patients primarily hospitalized for CNS malignancy. We calculated adjusted odds ratios (aORs) for specific outcomes using multivariable logistic and linear regression analyses. The primary outcome was inpatient mortality, with secondary outcomes including system-based complications. Results: We identified 37,385 patients diagnosed with CNS malignancy, averaging 53.6 years old, with 57.76% being female. Among them, 0.84% (315/37,385) were also diagnosed with COVID-19. After adjusting for patient and hospital factors, COVID-19 infection was linked to higher in-hospital mortality (aOR 4.12, 95% CI: 1.55, 10.89, p = 0.004), longer stays (Beta-coefficient 6.06, 95% CI: 2.97, 9.14, p < 0.001), increased total hospital costs (Beta-coefficient 11,855, 95% CI: 1,410, 22,301, p = 0.026), elevated risks of shock (aOR 3.96, 95% CI 1.03, 15.10, p = 0.018), acute respiratory failure (aOR 4.33, 95% CI: 1.83, 10.22, p = 0.001), and sepsis (aOR 3.96, 95% CI: 1.03, 15.10, p = 0.044). Conclusions: Our study reveals that COVID-19 infection is associated with higher in-hospital mortality and multiple adverse outcomes in patients hospitalized for CNS malignancy. Further longitudinal studies are necessary to thoroughly investigate the causality of these clinical outcomes in this population.

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.

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.

INTRODUCTION: Obesity is associated with cancer, including gastrointestinal (GI). Data from low (LICs) and lower-middle-income countries (MICs) are limited. METHODS: We utilized data from the Global Burden of Disease Study 2019 to determine the mortality from GI cancer risk of high body mass index (BMI) in these countries. RESULTS: Mortality rates of GI cancers from high BMI increased in LICs and lower MICs, while burdens decreased or remained stable in high and middle-income countries. DISCUSSION: The GI cancer-related burden from high BMI increased in LICs and lower MICs, necessitating a concerted effort to tackle the obesity pandemic.