OBJECTIVE: This study aims to evaluate the impact of frailty on the outcomes of older patients with pulmonary embolism (PE).
METHODS: Using the National Inpatient Sample database, we identified 288 070 patients aged 65 or older who were admitted with a primary diagnosis of PE from 2017 to 2019. Frailty was assessed using the Hospital Frailty Risk Score (HFRS), and patients were categorized into low-, intermediate-, and high-frailty-risk groups. Multivariate logistic regression was used to calculate adjusted odds ratios for all outcomes.
RESULTS: These patients were categorized into low-risk (57.6%, 161 420), medium-risk (39.9%, 111 805), and high-risk (2.5%, 7075) groups. High-risk patients, predominantly females with multiple comorbidities, exhibited significantly higher mortality rates and adverse outcomes. The HFRS showed a good discriminating ability in predicting mortality (area under the receiver operating characteristic curve = 0.7796). Frailty was associated with increased use of advanced therapeutic interventions and critical care resources such as thrombolysis, catheter-directed therapies, inferior vena cava filter placement, mechanical ventilation, vasopressor use, and intensive care unit admission.
CONCLUSIONS: Frailty markedly affects outcomes in older PE patients. The HFRS offers a valuable prognostic tool in this population, suggesting that integrating frailty assessments into clinical practice could enhance care strategies and improve patient outcomes. Our findings underscore the need for further research to refine frailty-based care paradigms. Geriatr Gerontol Int 2024; ••: ••-••.

UNASSIGNED: Atrial fibrillation (AF) and heart failure (HF) commonly coexist, resulting in adverse health and economic consequences such as declining ventricular function, heightened mortality, and reduced quality of life. However, limited information exists on the impact of COVID-19 on AF patients that hospitalized for HF.
UNASSIGNED: We analyzed the 2020 U.S. National Inpatient Sample to investigate the effects of COVID-19 on AF patients that primarily hospitalized for HF. Participants aged 18 and above were identified using relevant ICD-10 CM codes. Adjusted odds ratios for outcomes were calculated through multivariable logistic regression. The primary outcome was inpatient mortality, with secondary outcomes including system-based complications.
UNASSIGNED: We identified 322,090 patients with primary discharge diagnosis of HF with comorbid AF. Among them, 0.73% (2355/322,090) also had a concurrent diagnosis of COVID-19. 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 3.17; 95% CI 2.25, 4.47, p < 0.001), prolonged length of stay (β LOS 2.82; 95% CI 1.71, 3.93, p < 0.001), acute myocarditis (aOR 6.64; 95% CI 1.45, 30.45, p 0.015), acute kidney injury (AKI) (aOR 1.48; 95% CI 1.21, 1.82, p < 0.001), acute respiratory failure (aOR 1.24; 95% CI 1.01, 1.52, p 0.045), and mechanical ventilation (aOR 2.00; 95% CI 1.28, 3.13, p 0.002).
UNASSIGNED: Our study revealed that COVID-19 is linked to higher in-hospital mortality and increased adverse outcomes in AF patients hospitalized for HF.

BACKGROUND: Studies exploring predictors of arrhythmias in the population primarily hospitalized for SARS-CoV-2 (COVID-19) are scarce. Understanding this is crucial for risk stratification and appropriate management.
METHODS: Using the 2020 National Inpatient Sample (NIS) database, we identified primary admissions for COVID-19. A \'greedy neighbor\' 1:1 propensity-score matching (PSM) accounted for baseline differences. Then, multivariable logistic regression models were employed to account for confounders and estimate the probability of arrhythmia.
RESULTS: There were a total of 1,058,815 admissions for COVID-19 (mean age 64.3 years ±16.8), 47.2% female, 52.5% (107698) White, 18.5% (37973) Blacks, and 20.7% (42,447) Hispanics. Atrial fibrillation was the most prevalent arrhythmia, 15.1% (31,942). After PSM, 166,405 arrhythmia hospitalizations were matched to 166,405 hospitalizations without arrhythmia. Sick sinus syndrome 4.9 (4.4-5.5), dyslipidemia 1.2 (1.2-1.3), cardiac arrest 1.3 (1.1-1.4), invasive mechanical ventilation 1.9 (1.8-2.0) and obesity 1.3 (1.2-1.4), (p<0.0001, all) were all independent predictors of arrhythmias.
CONCLUSIONS: Our analysis revealed a notable proportion of hospitalized COVID-19 patients with arrhythmias. Dyslipidemia, obesity, sick sinus syndrome, invasive mechanical ventilation, and cardiac arrest were independent predictors of arrhythmias.

UNASSIGNED: Type 2 myocardial infarction (T2MI) was first established as a unique entity in 2007. However, its clinical features are not well characterized. This study aimed to determine the clinical characteristics, predictors of mortality, and hospitalization trends of patients with T2MI.
UNASSIGNED: The National Inpatient Sample database was queried for patients hospitalized in the United States with T2MI (January 2018 to December 2019). Data were used to assess baseline characteristics, primary diagnoses, predictors of mortality, and hospitalization and mortality trends of T2MI.
UNASSIGNED: During the 24-month study period, 1,789,485 (76%) patients were admitted with type 1 myocardial infarction (T1MI) and 563,695 (24%) were admitted with T2MI. Patients with T2MI were more likely to be older (71 vs 68 years; P < .001) and female (47.5% vs 38.3%; P < .001), with fewer comorbidities related to coronary atherosclerosis. African Americans were the only race with a significantly higher rate of hospitalization for T2MI (15.9% vs 11.6%; P < .001). The predictors of mortality were similar in both the T2MI and T1MI cohorts. Sepsis (23.47%), hypertensive heart disease (15.35%), and atrial arrhythmias (4.49%) were the most common principal diagnoses for T2MI. T2MI hospitalizations trended consistently upward during the study period. Monthly in-hospital mortality rates were consistently higher for T2MI versus T1MI (P < .001).
UNASSIGNED: T2MI is a unique and heterogeneous clinical entity. Despite increased awareness, there is a lack of standardization of medical management and timing for revascularization, even as mortality rates remain persistently elevated compared with T1MI. Certain demographics, including African Americans, may be disproportionately affected.

Even with comparable healthcare structure and staffing, patients presenting on weekends often face poorer outcomes, including longer wait times in the emergency department, extended hospital stays, and delays in major procedures. This discrepancy prompts questions about whether life-saving cardiac procedures, such as permanent pacemaker (PPM) implantation for atrioventricular block, also experience similar delays and differences in outcomes. We researched over 200,000 patients from the National Inpatient Sample (NIS) database to help study whether patients admitted on the weekend truly had worse outcomes than patients admitted on the weekday. Using the International Classification of Diseases, Tenth Revision (ICD-10) using STATA software (StataCorp LLC, College Station, TX), we found that 79.6% of patients were admitted on weekdays. Among these weekday admissions, 56.2% were males, with an average age of 75.8 years. Weekend admissions included 54.4% male patients, with an average age of 76.4 years. Key variables influencing outcomes were renal failure history, non-ST elevation myocardial infarction, diabetes mellitus, and percutaneous coronary intervention. Of the total patients, 1,315 died during hospitalization, with no significant difference in mortality between weekday and weekend admissions. However, weekend admissions had a higher rate of cardiac arrest, a greater likelihood of delayed pacer implantation, and longer hospital stays. Weekend admissions were linked to delays in PPM placement, longer hospital stays, and higher hospitalization costs. Mortality rates did not increase for patients admitted on weekends. Further research is needed to explore this issue in greater depth and to identify the specific factors contributing to the discrepancy between weekend and weekday admissions, which resulted in worse outcomes for weekend patients.

UNASSIGNED: Common postoperative complications of total knee arthroplasty (TKA) include blood transfusion. Although risk factors and incidence of blood transfusion have been studied through national databases, the relative impact of each risk factor needs to be synthesized over a longer time period into a new model need to be revised.
UNASSIGNED: Patient data were extracted from the National Inpatient Sample (NIS), which is the largest hospital care database in the US, and analyse patient data retrospectively from 2010 through 2019. The final data included the patients undergoing TKA. The final analysis assessed the demographics of patients, type of insurance, type of hospital, length of stay (LOS), preoperative comorbidities, total charge, inpatient mortality, medical-surgical postoperative complications.
UNASSIGNED: After extracting data from the NIS database, a total of 1,250,533 patients with TKA were included in the analysis, and the rate of transfusion was 6.60 %. TKA patients who receive blood transfusion had longer LOS (from 2-3 days to 3-4 days), more preoperative comorbidities, higher inpatient mortality rate, and increased total charge (P < 0.001). Moreover, postoperative complications associated with inpatients included sepsis, acute myocardial infarction and shock. Elective admission and private insurance were also regarded as protective factors.
UNASSIGNED: Blood transfusion could bring postoperative complications to patients, which were also linked to health costs and risks. It was also a common preoperative comorbidities for older patients who underwent TKA. Through better blood management strategies, we could reduce patient transfusion rates and improve clinical outcomes.Level of Evidence: Diagnostic Level Ⅲ.

BACKGROUND: This study aimed to evaluate the impact of race on in-hospital outcomes of Takotsubo cardiomyopathy using the National Inpatient Sample.
RESULTS: We conducted a retrospective study using data from the National Inpatient Sample database 2006 to 2018. We focused on Takotsubo cardiomyopathy hospitalizations, excluding those with acute coronary syndrome as the primary diagnosis. Two study groups consisted of White patients or Black patients. Univariate and multivariable logistic models evaluated race\'s effect on death, cardiac arrest, cardiogenic shock, length of stay, while adjusting for potential confounders. The Bayesian model averaging technique was used to further elucidate the factors influencing death within each racial group. Significant differences were observed between the 2 racial groups. Black patients presented at a younger age, had a higher proportion of men, a higher burden of comorbidities, and a lower median household income compared with their White counterparts. In the univariate model, the Black cohort showed an increased risk of cardiac arrest (odds ratio, 1.45 [95% CI, 1.15-1.82]). However, the difference did not reach statistical significance in the multivariable model. Black patients also had a significantly longer hospital stay in both the univariate model (risk ratio, 1.26 [95% CI, 1.22-1.31]) and the multivariable model (risk ratio, 1.06 [95% CI, 1.04-1.07]). No significant difference in all-cause death was observed between the racial groups.
CONCLUSIONS: The outcome differences between 2 racial groups in our study are likely influenced by racial disparities in demographics, comorbidities, and socioeconomic factors. Individualized care based on racial group needs is crucial in clinical practice.

BACKGROUND: Spontaneous pneumothorax (PTX) is more prevalent among COVID-19 patients than other critically ill patients, but studies on this are limited. This study compared clinical characteristics and in-hospital outcomes among COVID-19 patients with concomitant PTX to provide insight into how PTX affects health care utilization and complications, which informs clinical decisions and healthcare resource allocation.
METHODS: The 2020 Nationwide Inpatient Sample was used analyze patient demographics and outcomes, including age, race, sex, insurance status, median income, length of hospital stay, mortality rate, hospitalization costs, comorbidities, mechanical ventilation, and vasopressor support. Propensity score matching was employed for additional analysis.
RESULTS: Among 1,572,815 COVID-19 patients, 1.41% had PTX. These patients incurred significantly higher hospitalization costs ($435,508 vs. $96,668, p < 0.001) and longer stays (23.6 days vs. 8.6 days, p < 0.001). In-hospital mortality was substantially elevated for PTX patients (65.8% vs. 14.4%, p < 0.001), with an adjusted odds ratio of 14.3 (95% CI 12.7-16.2). Additionally, these patients were more likely to require vasopressors (16.6% vs. 3.3%), mechanical circulatory support (3.5% vs. 0.3%), hemodialysis (16.6% vs. 5.6%), invasive mechanical ventilation (76.9% vs. 15.1%), non-invasive mechanical ventilation (19.1% vs. 5.8%), tracheostomy (13.3% vs. 1.1%), and chest tube placement (59.8% vs. 0.8%).
CONCLUSIONS: Our findings highlight the severe impact of PTX on COVID-19 patients, characterized by higher mortality, more complications, and increased resource utilization. Also, being Hispanic, male, or obese increased the risk of developing concomitant PTX with COVID-19.

UNASSIGNED: In the United States, hepatitis C is the most commonly reported bloodborne infection. It is a leading cause of liver cancer and death from liver disease and imposes a substantial burden of hospitalization. We sought to describe regional differences in hepatitis C virus (HCV)-related hospitalizations during 2012 through 2019 to guide planning for hepatitis C elimination.
UNASSIGNED: We analyzed discharge data from the National Inpatient Sample for 2012 through 2019. We considered hospitalizations to be HCV-related if (1) hepatitis C was the primary diagnosis or (2) hepatitis C was any secondary diagnosis and the primary diagnosis was a liver disease-related condition. We analyzed demographic and clinical characteristics of HCV-related hospitalizations and modeled the annual percentage change in HCV-related hospitalization rates, nationally and according to the 9 US Census Bureau geographic divisions.
UNASSIGNED: During 2012-2019, an estimated 553 900 HCV-related hospitalizations occurred in the United States. The highest hospitalization rate (34.7 per 100 000 population) was in the West South Central region, while the lowest (17.6 per 100 000 population) was in the West North Central region. During 2012-2019, annual hospitalization rates decreased in each region, with decreases ranging from 15.3% in the East South Central region to 48.8% in the Pacific region. By type of health insurance, Medicaid had the highest hospitalization rate nationally and in all but 1 geographic region.
UNASSIGNED: HCV-related hospitalization rates decreased nationally and in each geographic region during 2012-2019; however, decreases were not uniform. Expanded access to direct-acting antiviral treatment in early-stage hepatitis C would reduce future hospitalizations related to advanced liver disease and interrupt HCV transmission.

UNASSIGNED: Various socioeconomic and racial disparities are well-documented for colon cancer. However, the association of dementia, which is a growing cause of mortality in the elderly, remains unexplored. We aim to understand the association between these two conditions, in the elderly population group.
UNASSIGNED: We utilized the 2020 National Inpatient Sample to investigate records admitted for colorectal cancer 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 include other inpatient complications.
UNASSIGNED: We identified 33,335 hospitalizations with ages more than 60. The mean age was 75.2 and males constituted 50.4%. In a survey multivariable logistic and linear regression model adjusting for patient and hospital factors, utilizing propensity score matching, the presence of dementia is associated with lower inpatient mortality (aOR 0.49, 95% confidence interval [CI] [0.26, 0.92], p=0.03), lower hospitalization costs (beta coefficient -2,823, 95% CI [-5,266, -440], p=0.02), lower odds of acute respiratory failure (aOR 0.54, p=0.01), lower mechanical ventilation usage (aOR 0.26, p<0.01) but higher odds of mental status change (aOR 1.97, 95% CI [1.37, 2.84], p<0.01).
UNASSIGNED: The presence of dementia is associated with a lower risk of inpatient mortality, and other clinical outcomes, in colorectal cancer cases admitted for hospitalization. Etiologies behind this relationship should be explored to understand this inverse relationship.