Outcomes In Hospitalized Patients Research Articles

NSTEMI mortality and hospital outcomes in patients with atrial fibrillation: A propensity score-matched analysis

BackgroundAtrial fibrillation (AF) is associated with increased cardiovascular mortality. Data regarding the relationship between coronary artery disease (CAD) and AF is mixed. It is uncertain if AF directly increases the risk for future coronary events and if such patients are appropriately evaluated for CAD. MethodsThis cross-sectional study was performed on hospitalized patients with NSTEMI and concurrent AF in 2019 using the National Inpatient Sample. In-hospital mortality, rates of diagnostic cardiac angiography, percutaneous coronary intervention, ventricular tachycardiac (VT), ventricular fibrillation (VF), cardiogenic shock, cardiac arrest, length of stay (LOS), and total hospitalization charges were studied. ResultsA total of 433,965 patients met inclusion criteria (169,725 females [39.1 %], 307,985 Caucasian [71 %], 51,570 African American [11.8 %], 37,265 Hispanic [8.6 %]; mean [SD] age, 67.9 [6.2] years). 86,200 (19.8 %) patients with NSTEMI had AF, including 32,775 (38 %) female patients before propensity matching. Patients with NSTEMI and AF had increased odds of mortality (adjusted Odds ratio, 1.32; CI, 1.21–1.43; p < 0.001). AF patients were less likely to undergo diagnostic coronary angiography and PCI and had higher odds of VT, VF, cardiogenic shock, cardiac arrest, tracheal intubation, mechanical ventilation, increased LOS, and higher hospital charges than those without AF. ConclusionAF was independently associated with increased mortality and serious cardiac complications in patients admitted with NSTEMI.

Association between hospital ownership and patient selection, management, and outcomes after carotid endarterectomy or carotid artery stenting

BackgroundThis study analyses the association between hospital ownership and patient selection, treatment, and outcome of carotid endarterectomy (CEA) or carotid artery stenting (CAS).MethodsThe analysis is based on the Bavarian subset of the nationwide German statutory quality assurance database. All patients receiving CEA or CAS for carotid artery stenosis between 2014 and 2018 were included. Hospitals were subdivided into four groups: university hospitals, public hospitals, hospitals owned by charitable organizations, and private hospitals. The primary outcome was any stroke or death until discharge from hospital. Research was funded by Germany’s Federal Joint Committee Innovation Fund (01VSF19016 ISAR-IQ).ResultsIn total, 22,446 patients were included. The majority of patients were treated in public hospitals (62%), followed by private hospitals (17%), university hospitals (16%), and hospitals under charitable ownership (6%). Two thirds of patients were male (68%), and the median age was 72 years. CAS was most often applied in university hospitals (25%) and most rarely used in private hospitals (9%). Compared to university hospitals, patients in private hospitals were more likely asymptomatic (65% vs. 49%). In asymptomatic patients, the risk of stroke or death was 1.3% in university hospitals, 1.5% in public hospitals, 1.0% in hospitals of charitable owners, and 1.2% in private hospitals. In symptomatic patients, these figures were 3.0%, 2.5%, 3.4%, and 1.2% respectively. Univariate analysis revealed no statistically significant differences between hospital groups. In the multivariable analysis, compared to university hospitals, the odds ratio of stroke or death in asymptomatic patients treated by CEA was significantly lower in charitable hospitals (OR 0.19 [95%-CI 0.07–0.56, p = 0.002]) and private hospitals (OR 0.47 [95%-CI 0.23–0.98, p = 0.043]). In symptomatic patients (elective treatment, CEA), patients treated in private or public hospitals showed a significantly lower odds ratio compared to university hospitals (0.36 [95%-CI 0.17–0.72, p = 0.004] and 0.65 [95%-CI 0.42-1.00, p = 0.048], respectively).ConclusionsHospital ownership was related to patient selection and treatment, but not generally to outcomes. The lower risk of stroke or death in the subgroup of electively treated patients in private hospitals might be due to the right timing, the choice of treatment modality or actually to better structural and process quality.

Hospital Outcomes in Patients Who Developed Acute Respiratory Distress Syndrome After Community-Acquired Pneumonia.

Purpose: To identify risk factors for and outcomes in acute respiratory distress syndrome (ARDS) in patients hospitalized with community-acquired pneumonia (CAP). Methods: This is a retrospective study using the Premier Healthcare Database between 2016 and 2020. Patients diagnosed with pneumonia, requiring mechanical ventilation (MV), antimicrobial therapy, and hospital admission ≥2 days were included. Multivariable regression models were used for outcomes including in-hospital mortality, hospital length of stay (LOS), intensive care unit (ICU) LOS, and days on MV. Results: 1924 (2.7%) of 72 107 patients with CAP developed ARDS. ARDS was associated with higher mortality (33.7% vs 18.9%; adjusted odds ratio 2.4; 95% confidence interval [CI] 2.16-2.66), longer hospital LOS (13 vs 9 days; adjusted incidence risk ratio (aIRR) 1.24; 95% CI 1.20-1.27), ICU LOS (9 vs 5 days; aIRR 1.51; 95% CI 1.46-1.56), more MV days (8 vs 5; aIRR 1.54; 95% CI 1.48-1.59), and increased hospitalization cost ($46 459 vs $29 441; aIRR 1.50; 95% CI 1.45-1.55). Conclusion: In CAP, ARDS was associated with worse in-patient outcomes in terms of mortality, LOS, and hospitalization cost. Future studies are needed to explore outcomes in patients with CAP with ARDS and explore risk factors for development of ARDS after CAP.

Managing established bronchopulmonary dysplasia without using routine blood gas measurements.

Routine blood gas measurements are common in infants with severe bronchopulmonary dysplasia (sBPD) and are a noxious stimulus. We developed a guideline-driven approach to evaluate the care of infants with sBPD without routine blood gas sampling in the chronic phase of NICU care (after diagnosis at 36 weeks PMA). We examined blood gas utilization and outcomes in our sBPD inpatient care unit using data collected between 2014 and 2020. 485 sBPD infants met inclusion criteria, and 303 (62%) never had a blood gas obtained after 36 weeks PMA. In infants who had blood gas measurements, the median number of total blood gases per patient was only 4 (IQR 1-10). We did not identify adverse effects on hospital outcomes in patients without routine blood gas measurements. We found that patients with established BPD could be managed without routine blood gas analyses after 36 weeks PMA.

Reducing Severe Maternal Morbidity for Birthing Persons with Severe Hypertension through a Statewide Quality Improvement Initiative

BackgroundHypertensive disorders of pregnancy are a leading preventable cause of severe maternal morbidity and maternal mortality worldwide. ObjectiveTo assess the improvement in hospital care processes and patient outcomes associated with hypertensive disorders of pregnancy after introduction of a statewide Severe Maternal Hypertension quality improvement initiative. Study DesignA prospective cohort design comparing outcomes before and after introduction of the Illinois Perinatal Quality Collaborative statewide hypertension quality improvement initiative among 108 hospitals across Illinois. Participating hospitals recorded data for all cases of new-onset severe hypertension (>160 systolic or >110 diastolic) during pregnancy through 6 weeks postpartum from May 2016 to December 2017. Introduction of the statewide quality improvement initiative included implementation of severe maternal hypertension protocols, standardized patient education and discharge planning, rapid access to medications and standardized treatment order sets, and provider and nurse education. The main outcome measure was the reduction of severe maternal morbidity for pregnant/postpartum patients with severe hypertension. Key process measures include time-to-treatment of severe hypertension, frequency of provider/nurse debriefs, appropriate patient education, and early postpartum follow up. ResultsData were reported for 8,073 cases of severe maternal hypertension. The frequency of patients with new-onset severe hypertension treated within 60 minutes increased from 41% baseline to 87% (p<0.001) at the end of the initiative. The initiative was associated with increased proportion of patients receiving preeclampsia education at discharge (41% to 89%, p<0.001), scheduling follow-up appointments within 10 days of discharge (68% to 83%, p<0.001), and having a care team debrief after severe hypertension was diagnosed (17% to 59%, p<0.001). Conversely, severe maternal morbidity was reduced from 11.5% baseline to 8.4% (p<0.002) at the end of the study period. Illinois hospitals were able to achieve time-to-treatment goal regardless of hospital characteristics including geography, birth volume, and patient mix. ConclusionsIntroduction of a statewide quality improvement effort was associated with improved time-to-treatment of severe hypertension, as well as increased frequency of provider/nurse debriefs, appropriate patient education, and early postpartum follow up scheduled at discharge, and reduced severe maternal morbidity.

The Impacts of Nirmatrelvir-Ritonavir on Myocardial Injury and Long-Term Cardiovascular Outcomes in Hospitalized Patients with COVID-19 amid the Omicron Wave of the Pandemic.

Even though nirmatrelvir-ritonavir can improve the short-term morbidity and mortality in COVID-19 patients, the effects of this treatment on long-term major adverse cardiovascular events (MACEs), especially myocardial injury, remains undetermined. This prospective cohort study identified hospitalized adult patients with COVID-19 between April 19, 2022, and June 9, 2022, amid the omicron wave of the pandemic. Matched nirmatrelvir-ritonavir-treated and non-treatedcohorts were formed using the propensity score matching method. The primary outcome of this study was the incidence of MACEs (cardiovascular death, myocardial infarction, stroke, new-onset heart failure or heart failure hospitalization or ventricular arrhythmia) from 30 days to 16 months after the diagnosis of COVID-19. Two 949-patient cohorts with balanced baseline characteristics were formed by propensity score matching. Patients with nirmatrelvir-ritonavir, compared to those untreated, had a lower level of troponin I peak as well as the incidence of troponin I elevation. During the follow-up period, 59 patients in the nirmatrelvir-ritonavir group and 86 patients in the control group developed MACEs (P = 0.020). Regarding specific constituents of MACEs, the differences are mainly reflected in new-onset heart failure or heart failure hospitalization. COVID-19 clinical severity and troponin I peak were the independent predictors, while nirmatrelvir-ritonavir was the independent protective factor for the occurrence of MACEs in this population. Nirmatrelvir-ritonavir was effective in reducing myocardial injury as well as long-term adverse cardiovascular outcomes among hospitalized patients with COVID-19 amid the omicron wave of the pandemic.

Investigating the Impact of Cannabis Consumption on Hospital Outcomes in Patients With Primary Spontaneous Pneumothorax: A Nationwide Analysis.

Introduction Existing data suggest an association between primary spontaneous pneumothorax (PSP) and cannabis consumption, although evidence remains controversial. Methods This study used the 2016-2019 National Inpatient Sample Database to examine inpatients with PSP, categorizing them as cannabis users and non-users. Multivariate regression analyzed continuous variables, chi-square assessed categorical variables, and logistic regression models were built. Propensity score matching (PSM) mitigated the confounding bias. Results A total of 399,495 patients with PSP were admitted during the study period (13,415 cannabis users and 386,080 non-cannabis users). Cannabis users were more likely to be younger (p<0.001) and male (p<0.001) with a lower risk of baseline comorbidities than non-users. Cannabis users had a lower risk of sudden cardiac arrest, vasopressor use, the development of acute kidney injury, venous thromboembolism, the requirement for invasive and non-invasive mechanical ventilation, hemodialysis, ventilator-associated pneumonia, and the need for a tracheostomy. Cannabis use was associated with a 3.4 days shorter hospital stay (p<0.001), as confirmed by PSM analysis (2.3 days shorter, p<0.001). Additionally, cannabis users showed a lower risk of in-hospital mortality (p<0.001), a trend maintained in the PSM analysis (p<0.001). Conclusions Our study revealed correlations suggesting that cannabis users with PSP might experience lower in-hospital mortality and fewer complications than non-cannabis users.

Utilizing the International Normalized Ratio-Platelet Index for Predicting Hospital Outcomes After Spontaneous Supratentorial Intracerebral Hemorrhage

ObjectiveSpontaneous intracerebral hemorrhage (ICH) poses a public health issue due to its elevated mortality rates. The International Normalized Ratio-platelet index (INR-Plt index) has recently been recognized as a predictive factor for liver disease progression. The potential of applying the INR-Plt index in forecasting ICH prognosis presents an intriguing subject. This study endeavors to examine the correlation between the INR-Plt index and hospital outcomes in patients with spontaneous supratentorial ICH. MethodsA retrospective examination of 283 adult ICH patients was undertaken. The INR-Plt index was computed using the formula: [INR/platelet counts (1000/μL)]×100. The clinical outcomes evaluated consisted of mortality rates and the Modified Rankin Scale (mRS) at discharge. An unfavorable outcome was defined as an mRS score from 4 to 6. ResultsThe study found a significant correlation between the INR-Plt index and hospital mortality (odds ratio: 4.31, 95% CI: 1.07 - 17.31, p = 0.04). There was a 43% rise in mortality risk for every 0.1 unit increase in the INR-Plt index. Kaplan-Meier survival curves illustrated a considerably lower survival rate at discharge for patients with an INR-Plt index > 0.8 (log-rank test: p = 0.047). Regarding unfavorable outcomes, the INR-Plt index was not a significant factor according to logistic regression analyses. ConclusionsThe INR-Plt index is a predictor of hospital mortality in patients with spontaneous supratentorial ICH. A higher INR-Plt index value is associated with an increased risk of mortality, underlining the potential usefulness of this composite index in guiding clinical decision-making and enabling risk stratification.

An explainable machine learning approach for hospital emergency department visits forecasting using continuous training and multi-model regression

Background and ObjectiveIn the last years, the Emergency Department (ED) has become an important source of admissions for hospitals. Since late 90s, the number of ED visits has been steadily increasing, and since Covid19 pandemic this trend has been much stronger. Accurate prediction of ED visits, even for moderate forecasting time-horizons, can definitively improve operational efficiency, quality of care, and patient outcomes in hospitals. MethodsIn this paper we propose two different interpretable approaches, based on Machine Learning algorithms, to accurately forecast hospital emergency visits. The proposed approaches involve a first step of data segmentation based on two different criteria, depending on the approach considered: first, a threshold-based strategy is adopted, where data is divided depending on the value of specific predictor variables. In a second approach, a cluster-based ensemble learning is proposed, in such a way that a clustering algorithm is applied to the training dataset, and ML models are then trained for each cluster. ResultsThe two proposed methodologies have been evaluated in real data from two hospital ED visits datasets in Spain. We have shown that the proposed approaches are able to obtain accurate ED visits forecasting, in short-term and also long-term prediction time-horizons up to one week, improving the efficiency of alternative prediction methods for this problem. ConclusionsThe proposed forecasting approaches have a strong emphasis on providing explainability to the problem. An analysis on which variables govern the problem and are pivotal for obtaining accurate predictions is finally carried out and included in the discussion of the paper.

The Impact of Chronic Comorbidities on Outcomes in Acute Exacerbations of Idiopathic Pulmonary Fibrosis.

Idiopathic pulmonary fibrosis is a chronic progressive lung disease of unknown cause with a high associated mortality. We aimed to compare the impact of chronic medical conditions on hospital outcomes of patients with acute exacerbations of idiopathic pulmonary fibrosis (AE-IPF). This was a retrospective cohort study using the NIS database from 2016 to 2018. We included patients aged 60 and older hospitalized in academic medical centers with the diagnoses of IPF and acute respiratory failure. We examined factors associated with hospital mortality and length of stay (LOS) using survey-weighted multivariate logistic and negative binomial regression. Out of 4975 patients with AE-IPF, 665 (13.4%) did not survive hospitalization. There was no difference in the mean age between survivors and non-survivors. Patients were more likely to be male, predominantly white, and have Medicare coverage. Most non-survivors were from households with higher median income. Hospital LOS was longer among non-survivors than survivors (9.4 days vs. 9.8 days; p < 0.001). After multivariate-logistic regression, diabetes was found to be protective (aOR 0.62, 95% CI 0.50-0.77; p < 0.0001) while chronic kidney disease (CKD) conferred a significantly higher risk of death after AE-IPF (aOR 6.85, 95% CI 1.90-24.7; p = 0.00). Our multivariate adjusted negative binomial regression model for LOS identified obesity (IRR 0.85, 95% CI 0.76-0.94; p ≤ 0.00) and hypothyroidism (IRR 0.90, 95% CI 0.83-0.98; p = 0.02) to be associated with shorter hospital LOS. Our results suggest that CKD is a significant contributor to hospital mortality in AE-IPF, and diabetes mellitus may be protective. Obesity and hypothyroidism are linked with shorter hospital LOS among patients hospitalized with AE-IPF in US academic medical centers.

Outcomes Of Hospitalization In Patients With Diastolic Heart Failure Undergoing Hematopoietic Stem Cell Transplant (HSCT): A National Inpatient Sample Analysis (2002-2019)

Outcomes Of Hospitalization In Patients With Diastolic Heart Failure Undergoing Hematopoietic Stem Cell Transplant (HSCT): A National Inpatient Sample Analysis (2002-2019)

Emergency Medical Services Compliance With Prehospital Stroke Quality Metrics Is Associated With Faster Stroke Evaluation and Treatment.

Emergency medical services (EMS) is an important link in the stroke chain of recovery. Various prehospital quality metrics have been proposed for prehospital stroke care, but their individual impact is uncertain. We sought to measure associations between EMS quality metrics and downstream stroke care. This is a retrospective analysis of a cohort of EMS-transported stroke patients assembled through a linkage between Michigan's EMS and stroke registries. We used multivariable regression to quantify the independent associations between EMS quality metric compliance (dispatch within 90 seconds of 911 call, prehospital stroke screen documentation [Prehospital stroke scale], glucose check, last known well time, maintenance of scene times ≤15 minutes, hospital prenotification, and intravenous line placement) and shorter door-to-CT times (door-to-CT ≤25), accounting for EMS recognition, age, sex, race, stroke subtype, severity, and duration of symptoms. We then developed a simple EMS quality score based on metrics associated with early CT and examined its associations with hospital stroke evaluation times, treatment, and patient outcomes. Five thousand seven hundred seven EMS-transported stroke cases were linked to prehospital records from January 2018 through June 2019. In multivariable analysis, prehospital stroke scale documentation (adjusted odds ratio, 1.4 [1.2-1.6]), glucose check (1.3 [1.1-1.6]), on-scene time ≤15 minutes (1.6 [1.4-1.9]), hospital prenotification ([2.0 [1.4-2.9]), and intravenous line placement (1.8 [1.5-2.1]) were independently associated with a door-to-CT ≤25 minutes. A 5-point quality score (1 point for each element) was therefore developed. In multivariable analysis, a 1-point higher EMS quality score was associated with a shorter time from EMS contact to CT (-9.2 [-10.6 to -7.8] minutes; P<0.001) and thrombolysis (-4.3 [-6.4 to -2.2] minutes; P<0.001), and higher odds of discharge to home (adjusted odds ratio, 1.1 [1.0-1.2]; P=0.002). Five EMS actions recommended by national guidelines were associated with rapid CT imaging. A simple quality score derived from these measures was also associated with faster stroke evaluation, greater odds of reperfusion treatment, and discharge to home.

Risk Prediction of Emergency Department Visits in Patients With Lung Cancer Using Machine Learning: Retrospective Observational Study.

Patients with lung cancer are among the most frequent visitors to emergency departments due to cancer-related problems, and the prognosis for those who seek emergency care is dismal. Given that patients with lung cancer frequently visit health care facilities for treatment or follow-up, the ability to predict emergency department visits based on clinical information gleaned from their routine visits would enhance hospital resource utilization and patient outcomes. This study proposed a machine learning-based prediction model to identify risk factors for emergency department visits by patients with lung cancer. This was a retrospective observational study of patients with lung cancer diagnosed at Seoul National University Bundang Hospital, a tertiary general hospital in South Korea, between January 2010 and December 2017. The primary outcome was an emergency department visit within 30 days of an outpatient visit. This study developed a machine learning-based prediction model using a common data model. In addition, the importance of features that influenced the decision-making of the model output was analyzed to identify significant clinical factors. The model with the best performance demonstrated an area under the receiver operating characteristic curve of 0.73 in its ability to predict the attendance of patients with lung cancer in emergency departments. The frequency of recent visits to the emergency department and several laboratory test results that are typically collected during cancer treatment follow-up visits were revealed as influencing factors for the model output. This study developed a machine learning-based risk prediction model using a common data model and identified influencing factors for emergency department visits by patients with lung cancer. The predictive model contributes to the efficiency of resource utilization and health care service quality by facilitating the identification and early intervention of high-risk patients. This study demonstrated the possibility of collaborative research among different institutions using the common data model for precision medicine in lung cancer.

Association of Continued Use of SGLT2 Inhibitors From the Ambulatory to Inpatient Setting With Hospital Outcomes in Patients With Diabetes: A Nationwide Cohort Study.

Limited data are available on the continuation of outpatient sodium glucose cotransporter 2 inhibitors (SGLT2is) during hospitalization. The objective was to evaluate associations of SGLT2i continuation in the inpatient setting with hospital outcomes. This nationwide cohort study used Veterans Affairs health care system data of acute care hospitalizations between 1 April 2013 and 31 August 2021. A total of 36,505 admissions of patients with diabetes with an outpatient prescription for an SGLT2i prior to hospitalization were included. The exposure was defined as SGLT2i continuation during hospitalization. Admissions where SGLT2i was continued were compared with admissions where it was discontinued. The primary outcome was in-hospital mortality. Secondary outcomes were acute kidney injury (AKI) and length of stay (LOS). Negative binomial propensity score-weighted and zero-truncated analyses were used to compare outcomes and adjusted for multiple covariates, including demographics and comorbidities. Mean (SE) age was 67.2 (0.1) and 67.5 (0.1) years (P = 0.03), 97.0% and 96.6% were male (P = 0.1), 71.3% and 72.1% White, and 20.8% and 20.5% Black (P = 0.52) for the SGLT2i continued and discontinued groups, respectively. After adjustment for covariates (age, sex, race, BMI, Elixhauser Comorbidity Index, procedures/surgeries, and insulin use), the SGLT2i continued group had a 45% lower mortality rate (incidence rate ratio [IRR] 0.55, 95% CI 0.42-0.73, P < 0.01), no difference in AKI (IRR 0.96, 95% CI 0.90-1.02, P = 0.17), and decreased LOS (4.7 vs. 4.9 days) (IRR 0.95, 95% CI 0.93-0.98, P < 0.01) versus the SGLT2i discontinued group. Similar associations were observed across multiple sensitivity analyses. Continued SGLT2i during hospitalization among patients with diabetes was associated with lower mortality, no increased AKI, and shorter LOS.

Hospital Outcomes in Patients With Pulmonary Hypertension With Atrial Fibrillation in the United States

In this study, using a large database we examined the association between atrial fibrillation (AF) among hospitalized patients with pulmonary hypertension (PH) and in-hospital mortality and other adverse hospital outcomes. This study was a retrospective analysis of the US National (Nationwide) Inpatient Sample (NIS) from 2005 to 2014. All hospitalizations for patients diagnosed with primary PH and over the age of 65 were included and then grouped based on the presence AF. Outcomes were in-hospital mortality rate, hospital length of stay, and hospitalization costs. Weighted regression analyses were performed to find the association between AF and outcomes. Among the 5,428,332 hospitalizations with PH, 2,531,075 (46.6%) had concomitant AF. Cox proportional regression analysis showed that among PE patients, all-cause mortality (hazard ratio [HR], 1.35; CI: 1.15-1.55) was significantly higher among AF patients, compared to those without AF. Additionally, PH hospitalizations with AF had higher hospital length of stay (β coefficient, 1.74; 95% CI, 1.58-1.83) and hospitalization cost (β coefficient, 1.33; 95% CI, 1.12-1.42). In patients over 65 years old admitted for PH, the presence of AF was very frequent and worsened the prognosis. In conclusion, to improve patient outcomes and decrease hospital burden, it is important to consider AF during risk stratification for patients with PH to provide timely and prompt interventions. An interdisciplinary approach to treatment should be used to account for the burden of comorbidities in this population.

A Nationwide Analysis of Risks and Outcomes in Hospitalized Patients with Immune Thrombocytopenia and COVID-19 Infection

Background: Insufficient data exists on COVID-19 risks and hospitalization outcomes in patients with immune thrombocytopenia (ITP). Our analysis aims to assess risks and outcomes associated with COVID-19 in ITP patients. Method: In this retrospective study, we obtained data from the National Inpatient Sample (NIS) database for the year 2020. Hospitalizations for ITP were identified using ICD-10 codes, further classified into those with and without COVID-19 infection (Table 1). To account for potential confounding factors, we considered variables such as age, sex, race, zip code-based income quartile, hospital region, hospital teaching status, hospital division, hospital bed size, and insurance status. Additionally, the Charlson index and relevant comorbid conditions such as smoking, alcohol use, illicit drug use, hypertension, diabetes mellitus, chronic obstructive pulmonary disease (COPD), congestive heart failure (CHF), coronary artery disease (CAD), atrial fibrillation (AF), liver disease, and chronic use of anticoagulants were included. Firstly, univariable logistic regression analysis calculated unadjusted odds ratios (ORs). Then, to adjust for potential confounders, a multivariable logistic regression analysis was performed to calculate adjusted odds ratios (aORs) (Table 2). The multivariable logistic regression model only included variables associated with the outcome of interest in univariable regression analysis at P &amp;lt; 0.1. Proportions were compared using the Fisher exact test, and continuous variables were compared using the Student t-test. All P-values were two-sided, with a significance threshold of .05. Results: Data from 10,831 hospitalizations for ITP in 2020 were gathered. Among those, 563 hospitalizations were of patients with COVID-19. Unadjusted data revealed minimal differences in the mean age between both groups, but there was a statistical difference between COVID-positive and COVID-negative males (48.2% vs. 42.9%) and females (51.8% vs. 57.0%). White race had the highest number of patients in both groups with a statistical difference of 62.5% vs. 68.5%, p=0.000 compared to other races. Moreover, COVID-positive patients with ITP had a significantly higher rate of comorbidities like hypertension (67.8% vs. 60.2%, p=0.000) and diabetes mellitus (38.5% vs. 28.9%, p=0.000). On the other hand, there was no statistical difference between groups with associated comorbidities like smoking, alcohol, illicit drugs, COPD, CHF, CAD, atrial fibrillation, liver disease, and chronic anticoagulation use. ITP patients with COVID-19 showed a significantly longer median length of stay (10.7 days vs. 6.3 days; p=0.000) and higher overall cost-of-hospitalization ($136,915 vs. $98,657; p=0.000). After adjusting for potential confounders using multivariate logistic regression, we found that ITP patients with COVID-19 had notably higher odds of mortality (adjusted odds ratio (aOR) = 5.42, 95% CI: 4.18 to 7.03, p=0.000), longer hospital stays (Coefficient: 4.31 days, 95% CI: 3.31 to 5.30, p=0.000), and increased total hospital charges (Coefficient: $37,243, 95% CI: $20,137 to $54,350, p=0.000). However, there were no statistically significant differences in the administration of PRBC transfusions, platelet transfusions, or immunoglobulin transfusions between the two groups. Additionally, no notable distinctions in the odds ratio of experiencing intracranial bleeding, gastrointestinal (GI) bleeding, myocardial infarction (MI), or acute cerebrovascular accident (CVA) were observed between ITP patients with and without COVID-19. Conclusion: In conclusion, this study highlights the higher risks and poorer hospitalization outcomes associated with COVID-19 in patients with immune thrombocytopenic purpura. The results of our study highlight the significance of taking COVID-19 infection into account when managing and evaluating outcomes in ITP patients, as it seems to be linked to more severe disease manifestations and higher utilization of healthcare resources. Further research and prospective studies are necessary to gain a deeper understanding and address the implications of COVID-19 in this particular patient population.

Patient Outcomes After Long-Term Acute Care Hospital Closures

Long-term acute care hospitals (LTCHs) are common sites of postacute care for patients recovering from severe respiratory failure requiring mechanical ventilation (MV). However, federal payment reform led to the closure of many LTCHs in the US, and it is unclear how closure of LTCHs may have affected upstream care patterns at short-stay hospitals and overall patient outcomes. To estimate the association between LTCH closures and short-stay hospital care patterns and patient outcomes. This retrospective, national, matched cohort study used difference-in-differences analysis to compare outcomes at short-stay hospitals reliant on LTCHs that closed during 2012 to 2018 with outcomes at control hospitals. Data were obtained from the Medicare Provider Analysis and Review File, 2011 to 2019. Participants included Medicare fee-for-service beneficiaries aged 66 years and older receiving MV for at least 96 hours in an intensive care unit (ie, patients at-risk for prolonged MV) and the subgroup also receiving a tracheostomy (ie, receiving prolonged MV). Data were analyzed from October 2022 to June 2023. Admission to closure-affected hospitals, defined as those discharging at least 60% of patients receiving a tracheostomy to LTCHs that subsequently closed, vs control hospitals. Upstream hospital care pattern outcomes were short-stay hospital do-not-resuscitate orders, palliative care delivery, tracheostomy placement, and discharge disposition. Patient outcomes included hospital length of stay, days alive and institution free within 90 days, spending per days alive within 90 days, and 90-day mortality. Between 2011 and 2019, 99 454 patients receiving MV for at least 96 hours at 1261 hospitals were discharged to 459 LTCHs; 84 LTCHs closed. Difference-in-differences analysis included 8404 patients (mean age, 76.2 [7.2] years; 4419 [52.6%] men) admitted to 45 closure-affected hospitals and 45 matched-control hospitals. LTCH closure was associated with decreased LTCH transfer rates (difference, -5.1 [95% CI -8.2 to -2.0] percentage points) and decreased spending-per-days-alive (difference, -$8701.58 [95% CI, -$13 323.56 to -$4079.60]). In the subgroup of patients receiving a tracheostomy, there was additionally an increase in do-not-resuscitate rates (difference, 10.3 [95% CI, 4.2 to 16.3] percentage points) and transfer to skilled nursing facilities (difference, 10.0 [95% CI, 4.2 to 15.8] percentage points). There was no significant association of closure with 90-day mortality. In this cohort study, LTCH closure was associated with changes in discharge patterns in patients receiving mechanical ventilation for at least 96 hours and advanced directive decisions in the subgroup receiving a tracheostomy, without change in mortality. Further studies are needed to understand how LTCH availability may be associated with other important outcomes, including functional outcomes and patient and family satisfaction.

Risk Factor Profile and Hospital Outcomes in Patients ≤ 45 Years vs. &gt;45 Years of Age Presenting with Acute ST-Segment Elevation Myocardial Infarction

Objectives: In Pakistan, cardiovascular risk factors for acute myocardial infarction are increasing. There are few studies available on atherosclerotic risk factors in young patients and its outcome The purpose of this study was to compare pattern of traditional CVD risk factors, hospital mortality and major adverse cardiac events at discharge in young versus old patients (≤45years and above 45 years age respectively) admitted with STEMI and undergoing primary PCI.&#x0D; Methodology: This retrospective cohort study was conducted on consecutive patients presenting with STEMI between June 2013 and June 2018 in a single centre cardiac only tertiary care setup. Institute’s registry is fashioned along and is affiliated with US NCDR. Patients with cardiac arrest or cardiogenic shock at arrival were excluded. MACE was defined as post PCI cardiac arrest or cardiogenic shock, heart failure, major bleed or hospital death. Models were built using stepwise forward logistic regression method.&#x0D; Results: Total of 5343 patients were admitted with STEMI during study period, after exclusion data of 1642 patients were analyzed. Among young patients, the frequency of the male gender, any tobacco use and family history of premature coronary artery disease were significantly higher (all p values &lt; 0.001). While in older STEMI patients frequency of heart failure, hypertension, prior myocardial infarction, diabetes mellitus ,abnormal creatinine clearance (&lt;90 mL/min/1.73 m²) , multi-vessel coronary disease, advanced Killip class and higher body mass index was more prevalent (all P&lt;0.001). Among young patients advanced Killip class and femoral access site(all P values &lt;0.001), diabetes mellitus (p=0.03), abnormal creatinine clearance(p=0.04),and left ventricular ejection fraction less than 40%(p=0.01), were more significant in-hospital mortality predictor whereas advanced Killip class, Left ventricular ejection fraction less than 40% male gender(p=0.04), diabetes mellitus(p=0.001),femoral access site(p=0.001), and Left ventricular ejection fraction less than 40% were more significant MACE predictors (all P&lt;0.001).&#x0D; Conclusion: There were no significant difference in hospital mortality and MACE among young versus old STEMI patients when adjusted for diabetes mellitus, abnormal creatinine clearance (&lt;90 mL/min/1.73 m²), multi-vessel coronary disease, advanced Killip class. Tobacco use is the main modifiable risk factors for young patients with STEMI. Surprisingly, being a woman and having a positive family history with premature coronary artery disease were protective.

Abstract 14826: Effect of Torsemide vs Furosemide After Discharge for Acute Heart Failure Across the Spectrum of Left Ventricular Ejection Fraction: Observations From Transform-HF

Introduction: TRANSFORM-HF trial showed no significant difference in mortality or hospitalization outcomes in patients randomized to torsemide (T) versus furosemide (F) following a heart failure (HF) hospitalization (HFH). However, outcomes and responses to some therapies differ across ejection fraction (EF) subgroups. Methods: We compared baseline patient characteristics and described treatment effects for various endpoints in TRANSFORM-HF stratified by EF: HF with reduced (EF≤40%;HFrEF) vs mildly reduced (41-49%;HFmrEF) vs preserved (≥50%;HFpEF) EFs. We also evaluated the prognostic association between EF and outcomes. Study endpoints were all-cause mortality and hospitalization at 30 days and 12 months (separately and as composites), and total hospitalizations. Results: Our analysis included 2635 patients with EF data. Participants with HFpEF were older (72 [62-79] years) with lower eGFR (52 [36-72] ml/min/1.73m 2 ) compared to the other EF cohorts, while patients with HFrEF had lower systolic blood pressure (112 [101-125] mmHg) and higher NT-proBNP levels (4554 [2368-9620] pg/ml). The neutral treatment effect for all studied endpoints did not differ across EF groups (all interaction p-values&gt;0.05, Figure 1A). There was no significant difference in the rates of mortality and/or hospitalization at 12 months between patients in the three EF groups (HFrEF 59.2, HFmrEF 61, HFpEF 63 events/100 patient-years, p=0.24, Figure 1B). Even after adjusting for covariates the relative risk or rate ratio for all endpoints did not differ across EF groups. Conclusions: Despite baseline differences between EF cohorts in TRANSFORM-HF, there were no significant differences in the study endpoints with T versus F across the EF spectrum. In contrast to previous observations, the adjusted risk ratios for all study endpoints did not differ by baseline EF. Following a HFH, there is substantial risk for all-cause mortality and subsequent hospitalization independent of EF.

Abstract 18084: Coagulopathy and Hospital Outcome in Patients With Covid-19: An Insight From National Inpatient Sample

Introduction: SARS-CoV-2 infection has been linked to thrombosis and bleeding. In this study we aim to investigate coagulopathy rates, predictors and in-hospital outcomes in a nationally representative sample of COVID-19 patients. Methods: Using the 2020 National Inpatient Sample. We identified adult patients who were admitted with a principal diagnosis of COVID-19. Mortality difference, LOS, and COC were evaluated as indicators of healthcare resource usage. Regression analysis adjusted for baseline variables and comorbidities compared individuals who developed coagulopathy to those who did not. Logistic regression analysis was used to identify COVID-19 coagulopathy facrtors. p-value &lt;0.05 indicated statistical significance. Results: Among 1,050,045 COVID-19 admissions, 12% (126,225 patients) developed coagulopathy. Those with coagulopathy group had higher rates of in-hospital mortality (aOR 1.31, CI 1.23-1.39, p &lt;0.001), prolonged LOS (aMD 2.29 days, 95% CI 2.12-2.46, p&lt;0.001), and increased COC (aMD 142615$, 95% CI 32905-41299, p&lt;0.001) compared to those that did not develop coagulopathy. Factors associated with coagulopathy included male gender, black race, higher Charleston comorbidity index, and lowest income quartile Conclusion: Approximately 12% of patients developed coagulopathy, which was associated with increased in-hospital mortality, longer length of stay, and higher cost of care. These findings emphasize the importance of identifying and managing coagulation disorders in COVID-19 patients to improve outcomes and allocate healthcare resources effectively. Further research is needed to explore interventions and strategies for mitigating the impact of coagulopathy in this population