Saowapa, Sakditad

Introduction: Menopause is known to be associated with myocardial infarction (MI). However, the association between menopause age and MI onset in a nationally representative population remains unknown. Objective: To examine the correlation between age of menopause and age of MI onset in the general population and the association between early menopause (onset of menopause ≤ 40 years old) and early onset of MI (onset of MI ≤ 40 years old). Methods: A cross-sectional study was conducted using a population from the 2017-2020 National Health and Nutrition Examination Survey (NHANES). The questionnaire collected self-reported data on the participants' menopause age and their age of first MI. The relationship between these two parameters was analyzed by multivariate linear and logistic regression analyses. Multivariate analysis was adjusted for race, age, body mass index (BMI), smoking status, diabetes mellitus (DM), hypertension, and dyslipidemia status. Results: Among 2,200 postmenopausal females, 90 (4.1%) have had MI. The study involved 85 postmenopausal females who reported both menopause age and MI onset, with a mean ± SD age of 55 ± 13 years. This study found a significant association between menopause age and MI onset. After adjusting for confounders, it was found that every 1-year increase in the age of menopause will delay the onset of MI by 0.28 years, with a 95% CI of 0.013 to 0.552 (Table 1A, Graph 1A, Graph 1B). Additionally, early menopause carries an almost significantly increased risk of 2.11 times (95% CI: 1.00, 4.45) for early-onset MI. After adjusting for confounders, the magnitude of the association was lower and not statistically significant, but the direction remains (OR (95% CI): 2.08 (0.87, 4.95)). However, after stratification with comorbidities, DM status was identified as an effect modifier, with early MI significantly observed in patients with DM in both univariate and multivariate analyses, with OR (95% CI) of 3.03 (1.10, 8.37) and 4.88 (1.26, 18.96), respectively (Table 2A). Conclusion: This study demonstrated a positive association between menopause age and MI onset in a generally representative population. This suggests that prolonged estrogen exposure due to late menopause may delay the onset of MI. Additionally, early menopause was associated with early MI onset in the DM population. Further longitudinal studies are required to examine the potential mechanisms involved in menopause onset and MI onset.

Background: There is suspicion that estrogen may protect against atherosclerosis. Women who experience menarche earlier, and thus have earlier estrogen exposure, might develop atherosclerosis later. The relationship between menarche age and the onset of angina pectoris, a symptom of coronary artery disease, remains unknown. Goal: This study aims to find the correlation between menarche age and the onset age of angina pectoris, and the association between early menarche (onset of menarche ≤ 10 y/o) and early onset of angina pectoris (onset of angina pectoris ≤ 40 y/o). Methods: A cross-sectional study using a population from the 2017-2020 National Health and Nutrition Examination Survey (NHANES). The question collects self-reported data on onset of menarche and onset of angina pectoris. The relationship between menarche age and age in onset of angina pectoris was analyzed by linear and logistic regression analysis. Multivariate analysis adjusted for race, age, body mass index (BMI), smoking , diabetes mellitus (DM), hypertension, and dyslipidemia status. Results: Among 4,816 females who reported their menarche age, 88(1.8 %) have had an angina pectoris. The study involved 82 females who reported both the age of menarche and the age of onset of angina pectoris. The mean ± SD of the age at menarche and the age at onset of angina pectoris was 12.53 ± 1.79 y/o and 51.66 ± 15.16 y/o, respectively. The study found a significant association between the menarche age and the age at onset of angina pectoris. After adjusting for confounders, we found that every 1-year increase in the age of menarche will delay the onset of angina pectoris by 1.43 years, with a 95% CI of 0.01 to 2.86.(Table 1A,Graph 1A-1B) We also found that early menarche has a significantly increased risk 2.8 times (95%CI: 1.3, 6.2) of early onset of angina pectoris.After adjusting for confounders, the association became even stronger. The odds ratio (OR) increased to 3.3 (95%CI: 1.4, 8.0), indicating that women with early menarche were 3.3 times more likely to experience early angina pectoris compared to those with later menarche.(Table 2A) Conclusion: In contrast to our hypothesis, age at menarche is positively associated with onset of angina pectoris. The earlier onset of menarche is linked to the earlier onset of angina pectoris. We suspected that factors beyond estrogen levels may contribute to this unexpected finding. Additional studies are needed to examine the cause of this correlation.

81 Background: Recent data suggest an association between cardiovascular disease burden and biliary cancer patients. However, the outcomes of hospitalized patients for biliary-pancreatic malignancy with concurrent acute decompensated heart failure (ADHF) are not well understood. Therefore, our objective is to assess the impact of ADHF on patients hospitalized for biliary-pancreatic malignancy. Methods: We used the 2020 U.S. National Inpatient Sample (NIS) to study patients hospitalized for biliary tract and pancreatic malignancy with concurrent acute decompensated heart failure (ADHF) identified by ICD-10 CM codes. Adjusted odds ratios (aORs) for predefined outcomes were determined via multivariable logistic and linear regression analyses. The primary outcome examined was inpatient mortality, while secondary outcomes included complications related to various body systems. Results: We identified 43,009 patients with a primary discharge diagnosis of biliary tract and pancreatic cancer. The mean age was 68.5 years; 49.4% were female. Caucasians accounted for 68%, followed by Hispanics (13%). Of these, 6.27% (3,699/43,009) had a concurrent diagnosis of heart failure. In the survey's multivariable logistic and linear regression analysis, accounting for patient and hospital confounding factors, ADHF demonstrated significant associations with higher in-hospital mortality (aOR 1.63; 95% CI 1.09, 2.44, p = 0.015). In addition, a significant association between ADHF and various adverse in-hospital outcome was observed including prolonged mean length of stay (Beta 1.45; 95% CI 0.67, 2.24, p < 0.001), increased mean total hospital cost (Beta 3,757; 95% CI: 2,641, 36,630, p = 0.024), elevated risk of shock (aOR 2.75; 95% CI: 1.77, 4.26, p < 0.001), higher risk of sepsis (aOR 1.71, 95% CI: 1.09, 2.68, p = 0.018), increased risk of acute respiratory failure (aOR 3.18, 95% CI: 2.25, 4.51, p < 0.001), and heightened risk of acute kidney injury (aOR 1.57; 95% CI: 1.24, 1.99, p < 0.001). Conclusions: Among patients hospitalized for biliary-pancreatic malignancy, concurrent ADHF is linked to increased mortality risk and various in-hospital adverse complications. Additional long-term studies are required for a comprehensive understanding of this association.

80 Background: Disparities in health outcomes exist among racial and ethnic groups in the United States, notably in patients with colon cancer. Metastasis is the primary cause of cancer morbidity and mortality. However, data on the metastasis risks and clinical outcomes on hospitalized individuals with colon cancer is still limited. Therefore, we aim to assess the association between metastatic colon cancer and racial differences. Methods: We analyzed the 2020 U.S. National Inpatient Sample (NIS) to explore patients who have colon 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 80,130 patients with primary diagnosis of colon cancer at discharge. The mean age was 67.4 years; 49.7% were female. Caucasians accounted for 69.3%, with African Americans at 13.3% and Hispanics at 8.2%. 15% of the patients had liver metastasis, whereas 22% had lung metastasis. In a multivariate analysis adjusting for patient, COVID-19, chemotherapy usage and hospital factors, African Americans had higher risk of lung metastasis (aOR 1.22; 95%CI (1.07, 1.40), p = 0.003), higher risk of liver metastasis (aOR 1.51; 95%CI (1.31, 1.74), p = 0.021) and longer length of stay (b = 0.95; 95%CI (0.56, 1.33), p = 0.001). Hispanics also had higher risk of lung (aOR 1.22, p < 0.05) and liver metastasis (aOR 1.24, p = 0.021). 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. To establish a causal relationship between races, metastasis, and mortality in patients with colon cancer, further longitudinal research is necessary. [Table: see text]

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.

213 Background: Lung cancer patient often encounter disparities in health outcomes, especially in difference racial and ethnic groups. Metastasis is the primary cause of cancer morbidity and mortality. However, data on the metastasis risks and clinical outcomes on hospitalized individuals with lung cancer is still limited. Therefore, we aim to assess the association between metastatic lung cancer and racial differences. Methods: We analyzed the 2020 U.S. National Inpatient Sample (NIS) to explore patients who have lung 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 103,335 patients with primary diagnosis of lung and bronchus cancer at discharge. The mean age was 68.9 years; 50.5% were female. Caucasians accounted for 74.3%, with African Americans at 12.1% and Hispanics at 4.6%. 10% of the patients had brain metastasis, whereas 14% had bone metastasis. In a multivariate analysis adjusting for patient, COVID-19, chemotherapy usage and hospital factors, African Americans had higher risk of brain metastasis (aOR 1.18; 95%CI (1.02, 1.37), p = 0.002), higher risk of bone metastasis (aOR 1.16; 95%CI (1.02, 1.33), p = 0.025), higher risk of mortality (aOR 1.21; 95% CI (1.01, 1.45), p = 0.039) and longer length of stay (b = 0.85; 95%CI (0.55, 1.16), p = 0.001). Hispanics also had higher risk of brain (aOR 1.36, p < 0.05) and prolonged length of stay (b 0.79, p < 0.005). 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. Further longitudinal research is necessary to establish a causal relationship between races, metastasis, and mortality in patients with lung cancer. [Table: see text]

212 Background: Lung cancer is the most commonly diagnosed cancer and the leading cause of cancer-related deaths globally. Recent data showed the detrimental effects of COVID-19 infection on other neoplasm conditions, causing increased mortality rates and complications. However, data on the precise effects of COVID-19 on hospitalized individuals with lung cancer are scarce. 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 lung and bronchus cancer. 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 103,334 patients with a primary discharge diagnosis of lung and bronchus cancer. The mean age was 68.9 years; 50.5% were female. In the non-COVID group, Caucasians accounted for 75%, followed by Hispanics (12%). Of these, 0.36% (374/103,334) 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 5.39; 95% CI (3.01, 9.64), p < 0.001), higher mean length of stay (b 5.51; 95% CI (2.59, 8.43) p < 0.001), mean total hospital cost (b 10,683; 95% CI (784.32, 20,581.93) p = 0.034), shock (aOR 4.37; 95% CI (1.96, 9.91), p < 0.001), acute respiratory failure (aOR 2.23; 95% CI (1.30, 3.85), p = 0.004), mechanical ventilation usage (aOR 3.12; 95% CI (1.46, 6.66), p = 0.003) and acute kidney injury (aOR 2.71; 95% CI (1.54, 4.74), p < 0.001). We observed non-significant, but increased, risks of sepsis, SIRS, and coagulopathy in COVID-19-positive patients. Conclusions: In conclusion, our study underscores that COVID-19 infection is associated with higher in-hospital mortality and other major clinical outcomes in lung cancer, as well as increased economic burden and cost of stay. To definitively establish causal relationships between the observed factors and the reported clinical outcomes in this population, further longitudinal research is necessary.

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.