Kulthamrongsri, Narathorn

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.

Abstract Background Short sleep is linked to increased acute myocardial infarction (MI) risk.However, the association of weekend-to-weekday sleep patterns with MI in a nationally representative population remains unknown. The goal is to investigate how weekday and weekend sleep durations affect myocardial infarction (MI) in the general population, and if longer weekend sleep can offset insufficient weekday sleep's effects. Methods A cross-sectional study utilized data from the 2017-2020 NHANES to examine the relationship between sleep patterns and MI. Participants self-reported their average sleep durations on weekdays (1) and weekends (2), along with the calculated weekend-to-weekday sleep duration ratio (SDR) (3). Logistic regression models, adjusting for various factors, including demographics and comorbidities, were employed to analyze the association. Those with SDR > 1 had more weekend sleep, while an SDR = 1 indicated equal sleep durations. Results The study involved 9,205 adult participants, with a mean ± SD age of 68.8 ± 10.8 years and 30.7% being female. Among them, 4.65% (428 patients) had a history of MI. The mean ± SD of weekday and weekend sleep hours was 7.6 ± 1.7 and 8.3 ± 1.8 hours, respectively. For weekday sleep duration, after univariate analysis, individuals compared to those in Q1 were statistically significant 0.72 times less likely in Q2 and 1.4 times more likely in Q4 to experience MI . While MI was 0.76 times less likely to occur among participants in Q3, it was not statistically significant (95% CI Q2: 0.54, 0.96; Q4: 1.05, 1.76; Q3:0.57, 1.00). After adjusting, participants only in Q3 were statistically significant 0.71 times less likely to develop MI.(Q3: 95% CI 0.51, 0.99). For weekend sleep duration, the univariate analysis showed that individuals in Q2, Q3, and Q4 were significantly less likely to experience MI (OR = 0.63, 0.67, and 0.69; 95% CIs: 0.48-0.82, 0.51-0.87, 0.53-0.90, respectively) After adjusting, only participants in Q2 were statistically significant less likely to develop MI (OR = 0.71; 95% CI 0.52 - 0.96). For the weekend-to-weekday sleep duration ratio (SDR), after univariate analysis, individuals were statistically significant 0.54 times less likely, and 1.5 times more likely to experience MI in those whose SDR is more than 1, and those whose SDR equals 1, respectively (95% CI SDR > 1: 1.14, 1.98; SDR = 1: 0.39, 0.72). After adjusting, participants with SDR more than 1 were statistically significant 0.69 times less likely to develop MI. Conclusions Moderate sleep durations on weekdays (in Q3), weekends (in Q2), along with SDR more than 1, were negatively linked with MI in a general population. This implies that sleep durations on both weekends and weekdays have comparable associations with MI. Additionally, full recovery sleep on weekends following sleep-deprived weekdays, might reduce MI risk. Further studies are needed to explore impact of weekend and weekday sleep patterns on MI.Histogram and Margins plotTable of Odd ratios

Background: Although BP is associated with kidney outcomes, its clinical significance in living kidney donors (LKD) is unknown. We aim to examine the association between pre-donation BP and the risk of kidney function decline in LKD. Methods: A retrospective cohort study using OPTN/SRTR including adult LKD, who underwent donation between 6/1972 and 9/2022, was utilized to examine the association of quartile (Q) of pre-donation SBP and DBP with time-to-event of ≥35% decline in post-donation eGFR from pre-donation eGFR by multiple Cox regression. Results: Of 174,311 adult LKD, mean±SD age was 41±12 years and 60% were female. Mean pre-donation SBP and DBP were 122±13 and 74±9 mmHg, respectively. Mean pre-donation SBP in Q 1, 2, 3, and 4 were 106±6, 117±2, 126±3, and 140±9 mmHg, respectively and the corresponding DBP were 62±5, 71±2, 78±2, and 86±5 mmHg, respectively. The median (IQR) of pre-donation eGFR was 91 (75, 111) mL/min/1.73 m2. Median(IQR) eGFR at immediate post-donation, 6-, 12-, and 24-months post-donation were 50 (40, 62), 54 (44, 67), 55 (45, 68), and 57 (47, 70) mL/min/1.73 m2, respectively. Out of 38,780 LKD with post-donation eGFR data at 6, 12, or 24 months, 31,054 had the event of ≥35% decline in post-donation eGFR from pre-donation eGFR with a median time to follow-up of 6.77 months(IQR 5.93, 12.67). The incidence rate of the event was 0.08 person-months. Compared to patients with SBP in Q 1, those with SBP in Q 2, 3, and 4 had a significantly increased risk for the event(HRSBP Q2,3,4 1.05, 1.08, and 1.15; P <0.001 – 0.003) but only patients with DBP in Q 3 and 4 had a significantly increased risk for the event (HRSBP Q3,4 1.04 and 1.09). After adjusting for age, gender, race/ethnicity, U.S. citizenship, education level, history of pre-donation HTN, diabetes, pre-donation BMI, DBP, and urine protein:creatinine ratio, there was a J-shaped association between pre-donation SBP and post-donation eGFR decline and only patients in the Q 2 became significantly associated with lower the risk for the event (HR 0.87, 95%CI 0.76, 0.99; Fig1). The pre-donation DBP – post-donation eGFR association was similar to the SBP – eGFR association but there was no statistically significant in all Q (Fig2). There was no effect-measured modifier for all covariates. Conclusions: Pre-donation SBP in a normal range(113 - 120 mmHg) is associated with the lowest risk for a post-donation eGFR decline. BP control in the normal range should be achieved for potential LKD.

Background: Hypertension is well known for its association with cardiovascular events and arthritis. However, epidemiological data on the direct relationship between heart failure and arthritis in hypertensive patients is limited. This study examines the hypothesis that arthritis increases the risk of heart failure among patients with hypertension. Additionally, the effect of gender on these outcomes was assessed. Method: In our study, we analyzed data from 6,789 adults with hypertension aged 18 to 80 years, sourced from the National Health and Nutrition Examination Survey (NHANES) for the years 2017-2018. Arthritis was defined based on participants’ self-reported diagnosis by a doctor. We utilized logistic regression to explore the relationship between arthritis and the presence of heart failure across three different models. The first model included heart failure alone, the second model included age, gender, education, race, body mass index (BMI), smoking, and drinking, and the third model additionally included coronary artery disease and stroke. Result: The prevalence of heart failure among individuals with both arthritis and hypertension stands at 6.0%. Investigation into gender reveals a notable prevalence in males at 8.2% compared to 4.5% in females [Fig 1]. The analysis revealed a positive correlation between the two conditions across the entire population, with correlation coefficients of 2.38 (95% CI: 1.68-3.37), 1.61 (95% CI: 1.11-2.34), and 1.51 (95% CI: 1.01-2.25) for the three models, respectively. Specifically, in males, there was a notably increased association in the first and second models, with correlation coefficients of 2.77 (95% CI: 1.76-4.35) and 1.69 (95% CI: 1.05-2.74), respectively. Conversely, among females, a significant association was observed only in the first model, with a correlation coefficient of 2.24 (95% CI: 1.29-3.89) [Fig 2]. Conclusion: A robust positive correlation between arthritis and heart failure was observed in hypertensive U.S. patients. Gender was found to be a factor influencing this relationship, with males having a higher risk and prevalence of heart failure compared to the overall population.

Despite advances in ablative therapies, outcomes remain less favorable for persistent atrial fibrillation often due to presence of non-pulmonary vein triggers and abnormal atrial substrates. This review highlights advances in ablation technologies and notable scientific literature on clinical outcomes associated with pursuing adjunctive ablation targets and substrate modification during persistent atrial fibrillation ablation, while also highlighting notable future directions.

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.