Recent national trends in outcomes and economic disparities among adult sickle cell disease-related admissions.

Sickle cell disease (SCD) is an inherited disorder caused secondary to a mutation in the hemoglobin beta subunit. There is sparse information regarding the trends in outcomes of SCD admissions in the past decade where rapid advances have been made in treatment. In this study, we wanted to analyze the trends and outcomes of SCD admissions in the United States from 2011 to 2019 and the influence of socio-economic status. Data were obtained from the National Inpatient Sample (NIS) database using the International Classification of Disease (ICD-9) and ICD-10 codes. Trends for primary in-hospital outcomes including mortality, length of stay (LOS), and total hospitalization charges (THC) were assessed. The impact of economic status on these outcomes was also studied. There was an annual percent change (APC) in the number of admissions for SCD of + 2.5% from 2010 to 2015 (95% CI: 1.3-3.8%, p = 0.003). However, there was no significant change in the number of admissions between 2015 and 2019 (95% CI - 1.8-0.7%, p = 0.323). The overall mortality across the years has decreased by about 4% yearly at the population level (p = 0.008, 95% CI 2-8%). However, the inpatient mortality for the high-income group had decreased significantly from 2010 to 2019, whereas there was no difference in the mortality rate for the low-income group across the decade. Despite the advances in the understanding of SCD and its treatment, its benefits have not reached all the people affected. Meaningful progress in healthcare is not achievable unless these economic disparities are addressed. Economic policies to address these inequities are the need of the hour.

Trends in outcomes and racial disparities in adult hospitalizations for immune thrombocytopenia over a decade.

Immune thrombocytopenia (ITP) is a diagnosis of exclusion characterized by a low platelet count in patients for whom other etiologies have been ruled out. It occurs due to autoimmune-mediated platelet destruction and thrombopoietin deficiency. ITP is a rare hematologic disorder in adults, and scarce information exists on the hospitalization outcomes among these patients. To address this knowledge gap, we conducted a nationwide population-based study from 2010 to 2019 using the National Inpatient Sample. We found a trend toward an increase in the annual admissions for ITP (from 392.2 to 417.3, p = 0.07). There was a decrease in mortality exclusively for White patients over the period studied (p = 0.03), which was not seen in Black or Hispanic patients. There was an increase in total charges adjusted for inflation for all subgroups (p < 0.01). Length of stay decreased during the decade analyzed (p < 0.01) for the total population and most subgroups. The rates of epistaxis and melena increased (p < 0.01), while rates of intracranial hemorrhage and hematemesis did not change significantly. Advances have been made in the ITP management over the past decade. However, this has not resulted in a decrease in the number of hospitalizations or total healthcare charges during hospitalization. Furthermore, a decrease in mortality was observed in White patients but not in other races. Prospective studies are needed to better characterize the financial burden of the disease, as well as to investigate racial variability in access to care, disease behavior, and response to treatment.

Rates and predictors of 30-day hospital readmissions in adults for drug-induced acute pancreatitis: A retrospective study from the United States National Readmission Database.

BACKGROUND AND AIM: Drug-induced acute pancreatitis (DIAP) linked to several medications is a diagnosis of exclusion and is associated with significant morbidity and mortality, contributing to the US healthcare cost burden. Existing studies on DIAP focus on the drug classes that can cause acute pancreatitis. Hence, our retrospective study aims to determine the rates and predictors for 30-day readmissions (30-DR) in patients with index hospitalization for DIAP. METHODS: From the Nationwide Readmissions Database, we followed adults admitted for DIAP who were discharged alive for 30 days. During 30-DR, we evaluated the rates, predictors, and outcomes of DIAP. RESULTS: Of the 4457 DIAP patients surviving at discharge, 12.5% were readmitted at 30 days. During readmissions, the predictors of 30-DR for DIAP were young age, the Charlson-Deyo Comorbidity Index of 2 and 3, protein-energy malnutrition, and dyslipidemia. During 30-DR, DIAP had a higher mortality rate (2.4% vs. 0.7%; P < 0.020), extended hospital stays (5.6 days vs. 4 days, 0.000), and higher hospital charges ($12 983.6 vs. $8 255.6; P 0.000). CONCLUSIONS: DIAP has high 30-DR rates and poorer outcomes.

Rising Readmission Rates After Diabetic Ketoacidosis Hospitalization Among Adults With Type 1 Diabetes Throughout a Decade in the United States.

Research on longitudinal trends in readmission rates after diabetic ketoacidosis (DKA) is lacking. This retrospective study was aimed at identifying trends in readmissions after hospitalization for DKA, as well as trends in outcomes after readmission, over time among adults with type 1 diabetes in the United States. Findings indicate that the DKA readmission rate increased from 53 to 73 events per 100,000 between 2010 to 2018, and low-income and uninsured patients had higher odds of readmission. There was no significant change in mortality after readmission over time. Improved access to care and affordable management options may play a crucial role in preventing readmissions.

Causes and predictors of immediate and short-term readmissions following percutaneous left atrial appendage closure procedure.

INTRODUCTION: Percutaneous left atrial appendage device closure has been offered as an alternative to anticoagulation for high-risk patients with nonvalvular atrial fibrillation. Given the relative novelty of the procedure, we aimed to analyze the rates and causes of immediate (30 days) and short-term (90 days) readmission after the procedure. METHODS: We performed a retrospective observational study using the Nationwide Readmissions Database for 2018. We studied 29 449 hospitalizations for percutaneous left atrial appendage (LAA) device closure. RESULTS: In both the 30- and 90-day cohorts, the most common causes of readmissions were gastrointestinal bleeding (16.1% and 14.8%), heart failure exacerbation (11.1% and 11.6%), and atrial fibrillation (6.2% and 7.2%). Female sex, liver disease, chronic kidney disease, chronic pulmonary disease, presence of heart failure, human immunodeficiency virus/acquired immunodeficiency syndrome status, and diabetes mellitus were independently associated with higher odds of readmission in both cohorts. CONCLUSION: Our study highlights the need for further deliberation on the choice and duration of anticoagulation periprocedurally after percutaneous LAA closure, especially among those with high bleeding risk. It also highlights the need for optimization of heart failure status periprocedurally to avoid readmissions for exacerbations.

Early readmissions of spontaneous bacterial peritonitis in the USA: Insights into an emerging challenge.

BACKGROUND AND AIM: Early readmissions of spontaneous bacterial peritonitis (SBP) are often associated with poor outcomes. We compared characteristics and outcomes for index and 30-day readmissions of SBP in the USA. METHODS: We analyzed the Nationwide Readmissions Database for 2018 to identify all adult (≥ 18 years) 30-day readmissions of SBP in the USA. Hospitalization characteristics and outcomes for index and 30-day readmissions of SBP were compared. Independent predictors of 30-day readmissions were also identified. RESULTS: In 2018, of the 5,797 index admissions for SBP, 30% (1726) were readmitted within 30 day. At the time of readmission, the most common admitting diagnosis was alcoholic cirrhosis of the liver with ascites (11.8%) followed by sepsis due to an unspecified organism (9.2%). SBP as an admitting diagnosis was identified for only 8.3% of these 30-day readmissions. Compared with index admissions, 30-day readmissions of SBP had a lower mean age (56.1 vs 58.6 years, P < 0.001) without a statistically significant difference for gender. Furthermore, 30-day readmissions of SBP were associated with significantly higher odds of inpatient mortality (10% vs 4.9%, OR: 2.15, 95% CI: 1.66-2.79, P < 0.001), and mean total hospital charge ($85,031 vs $56,000, mean difference: 29,032, 95% CI: 12,867-45,197, P < 0.001) compared with index admissions. The presence of chronic pulmonary disease, liver failure, inpatient dialysis, and discharge against medical advice were identified as independent predictors for increased 30-day readmissions of SBP. CONCLUSION: The 30-day readmission rate of SBP was 30% and these readmissions were associated with higher odds of inpatient mortality compared with index admissions.

Rheumatoid Arthritis Patients Have Better Outcomes Than Non-Rheumatoid Arthritis Patients When Hospitalized for Ischemic Stroke: Analysis of the National Inpatient Sample.

OBJECTIVES: The aims of this study were to compare the outcomes of patients primarily admitted for ischemic stroke with and without a secondary diagnosis of RA. METHODS: Data were abstracted from the National Inpatient Sample (NIS) 2016 and 2017 database. The NIS was searched for hospitalizations for adult patients with ischemic stroke as principal diagnosis with and without RA as secondary diagnosis using International Classification of Diseases, 10th Revision codes. The primary outcome was inpatient mortality. Hospital length of stay (LOS), total hospital charges, odds of receiving tissue plasminogen activator, and mechanical thrombectomy were secondary outcomes of interest. Multivariate logistic and linear regression analyses were used accordingly to adjust for confounders. RESULTS: There were more than 71 million discharges included in the combined 2016 and 2017 NIS database. Of 525,570 patients with ischemic stroke, 8670 (1.7%) had RA. Hospitalizations for ischemic stroke with RA had less inpatient mortality (4.7% vs. 5.5%; adjusted odds ratio, 0.66; 95% confidence interval, 0.52-0.85; p = 0.001), shorter LOS (5.1 vs 5.7 days, p < 0.0001), lower mean total hospital charges ($61,626 vs. $70,345, p < 0.0001), and less odds of undergoing mechanical thrombectomy (3.9% vs. 5.1%; adjusted odds ratio, 0.55; 95% confidence interval, 0.42-0.72; p < 0.0001) compared with those without RA. CONCLUSIONS: Hospitalizations for ischemic stroke with RA had less inpatient mortality, shorter LOS, lower total hospital charges, and less likelihood of undergoing mechanical thrombectomy compared with those without RA. However, the odds of receiving tissue plasminogen activator were similar between both groups. Further studies to understand its mechanism would be helpful.

Systemic Sclerosis Is Associated With Increased Inpatient Mortality in Patients Admitted for Acute Coronary Syndrome: Analysis of the National Inpatient Sample.

OBJECTIVE: This study aims to compare the outcomes of patients primarily admitted for acute coronary syndrome (ACS) with and without systemic sclerosis (SSc). The primary outcome was odds of inpatient mortality. Hospital length of stay, total hospital charges, rates of cardiovascular procedures, and treatments were secondary outcomes of interest. METHODS: Data were abstracted from the National Inpatient Sample (NIS) 2016 and 2017 Database. The NIS was searched for hospitalizations for adult patients with ACS (ST-segment elevation myocardial infarction [STEMI], non-ST-segment elevation myocardial infarction [NSTEMI], and unstable angina) as principal diagnosis with and without SSc as secondary diagnosis using International Classification of Diseases, Tenth Revision codes. Multivariate logistic and linear regression analysis was used accordingly to adjust for confounders. RESULTS: There were more than 71 million discharges included in the combined 2016 and 2017 NIS database. There were 1,319,464 hospitalizations for adult patients with a principal International Classification of Diseases, Tenth Revision code for ACS. There were 1155 (0.09%) of these hospitalizations that had SSc. The adjusted odds ratios for inpatient mortality for ACS, STEMI, and NSTEMI hospitalizations with coexisting SSc compared with those without SSc were 2.02 (95% confidence interval [CI], 1.19-3.43; p = 0.009), 2.47 (95% CI, 1.05-5.79; p = 0.038), and 2.19 (95% CI, 1.14-4.23; p = 0.019), respectively. CONCLUSIONS: Acute coronary syndrome hospitalizations with SSc have increased inpatient mortality compared with those without SSc. ST-segment elevation myocardial infarction and NSTEMI hospitalizations with SSc have increased inpatient mortality compared with STEMI and NSTEMI hospitalizations without SSc, respectively. Acute coronary syndrome hospitalizations with SSc have similar hospital length of stay, total hospital charges, rates of revascularization strategies (percutaneous coronary intervention, coronary artery bypass surgery, and thrombolytics), and other interventions (such as percutaneous external assist device and intra-aortic balloon pump) compared with those without SSc.

Predictors of 30-day readmissions for adrenal insufficiency: A retrospective national database study.

OBJECTIVE: The aim of this study was to describe rates and characteristics of non-elective 30-day readmission among patients hospitalized for adrenal insufficiency and to assess predictors of readmission. DESIGN: We analysed the 2018 National Readmission Database. Adrenal insufficiency hospitalizations were identified using the International Classification of Diseases, Tenth Revisions, Clinical Modification diagnosis codes for principal diagnostic codes of primary adrenal insufficiency, Addisonian crisis, drug-induced adrenocortical insufficiency, and other and unspecified adrenocortical insufficiency. PATIENTS: During the study period, 7738 index hospitalizations were identified as patients with AI who met the inclusion criteria. Of these, 7691 were discharged alive. MEASUREMENTS: We utilized chi-squared tests to compare baseline characteristics between readmissions and index hospitalizations. Multivariate Cox regression was used to identify independent predictors of readmission. RESULTS: The 30-day all-cause readmission rate for AI was 17.3%. About 1 in 5 readmissions was for AI. Other reasons for readmission included sepsis (10.8%), unspecified pneumonia (3.1%) and acute renal failure unspecified (1.6%). Readmission was associated with significantly higher odds of inpatient mortality. Independent predictors of 30-day all-cause readmissions included index hospitalizations with the Charlson Comorbidity Index (CCI) ≥3 (adjusted hazards ratio (aHR): 2.53, 95% CI: 1.85-3.46, p < .001), protein-energy malnutrition (aHR: 1.28, 95% CI: 1.02-1.60, p = .035) and obesity (aHR: 1.26, 95% CI: 1.02-1.56, p = .035). CONCLUSIONS: The 30-day all-cause readmission rate was 17.3%. AI was the most common reason for readmission among other causes. Readmissions were associated with increased mortality. CCIs of 3 or more, protein-energy malnutrition and obesity were significant predictors of readmission.

Comparing outcomes of diabetic ketoacidosis hospitalisations in patients with diastolic heart failure: A retrospective propensity matched analysis of the nationwide inpatient sample.

INTRODUCTION: Diabetic ketoacidosis (DKA) is a known complication of patients with diabetes mellitus. The aim of this study was to compare the outcomes of patients admitted with a diagnosis of DKA with, and without, diastolic heart failure (DHF). METHODS: This was a population-based, retrospective, observational study using data from the National Inpatient Sample database for the years 2016 and 2017. The primary outcome was in-hospital mortality. Secondary outcomes were rates of sepsis, non-ST elevation myocardial infarctions (NSTEMI), acute kidney failure, acute respiratory failure (ARF), deep vein thrombosis, pulmonary embolism, mean length of hospital stay (LOS) and total hospital charges (THC). RESULTS: There was no statistically significant difference for the adjusted odds for in-hospital mortality between patients with and without DHF (adjusted odds ratio [aOR]: 0.55, 95% confidence interval [CI] 0.28-1.08, p = 0.081). Patients with DKA and DHF had increased odds of developing an NSTEMI (aOR: 1.31, 95% CI: 1.01-1.70, p = 0.045) or ARF (aOR: 1.82, 95% CI: 1.38-2.40, p < 0.001) during the same admission compared to patients without DHF. Patients with DKA and DHF also had an increased mean THC (6500 CI: 1900-11,200, p = 0.0006) in US dollars and increased LOS (0.7, 95% CI: 0.2-1.3, p = 0.011) in days when compared to patients without DHF. CONCLUSIONS: Patients with DKA showed no statistically significant difference in mortality if they did or did not have a secondary diagnosis of DHF within the same admission.

Predictors of outcomes in hospitalized patients undergoing pacemaker insertion: Analysis from the national inpatient database (2016-2017).

BACKGROUND: Pacemaker implantation in the U.S. is rising due to an aging population. The aim of this analysis was to identify risk factors associated with increased mortality and complications in hospitalized patients requiring pacemaker implantation. METHODS: We performed a retrospective analysis using the National Inpatient Sample database, identifying hospitalized patients who underwent pacemaker implantation using International Classification of Disease, Tenth Revision, Clinical Modification codes. Independent predictors of inpatient mortality were identified using multivariate logistic regression analysis. RESULTS: There were 242,980 hospitalizations with pacemaker implantation during 2016 and 2017. The most frequently encountered indications for hospitalizations involving pacemaker insertion included sick sinus syndrome (SSS) (27.60%), complete atrioventricular (AV) block (21.57%), and second-degree AV block (7.83%). Chronic liver disease was associated with the highest adjusted odds of inpatient mortality (aOR = 5.76, 95% CI: 4.46 to 7.44, p < .001). Comorbid anemia had the highest statistically significant adjusted odds ratio (aOR) for predictors of post-procedural cardiac complications (aOR = 3.17, 95% CI: 2.81 to 3.58, p < .001). Mortality in hospitalized patients needing pacemaker implantation was 1.05%. About 3.36% of hospitalizations developed post procedural circulatory complications (PPCC), 2.45% developed sepsis, and 1.84% developed mechanical complications of cardiac electronic devices. CONCLUSIONS: We identified several predictors of inpatient mortality in hospitalized patients undergoing pacemaker implantation, including chronic liver disease, protein-calorie malnutrition, chronic heart failure, anemia, and history of malignancy. Anemia, chronic liver disease, and congestive heart failure were independent predictors of adverse outcomes in such patients.

Association of hypocalcemia with in-hospital mortality and complications in patients with acute pulmonary embolism: results from the 2017 Nationwide Inpatient Sample.

BACKGROUND: Acute pulmonary embolism (PE) is a common cause for hospitalization associated with significant mortality and morbidity. Disorders of calcium metabolism are a frequently encountered medical problem. The effect of hypocalcemia is not well defined on the outcomes of patients with PE. We aimed to identify the prognostic value of hypocalcemia in hospitalized PE patients utilizing the 2017 Nationwide Inpatient Sample (NIS). METHODS: In this retrospective study, we selected patients with a primary diagnosis of Acute PE using ICD 10 codes. They were further stratified based on the presence of hypocalcemia. We primarily aimed to compare in-hospital mortality for PE patients with and without hypocalcemia. We performed multivariate logistic regression analysis to adjust for potential confounders. We also used propensity-matched cohort of patients to compare mortality. RESULTS: In the 2017 NIS, 187,989 patients had a principal diagnosis of acute PE. Among the above study group, 1565 (0.8%) had an additional diagnosis of hypocalcemia. 12.4% of PE patients with hypocalcemia died in the hospital in comparison to 2.95% without hypocalcemia. On multivariate regression analysis, PE and hypocalcemia patients had 4 times higher odds (aOR-4.03, 95% CI 2.78-5.84, p < 0.001) of in-hospital mortality compared to those with only PE. We observed a similarly high odds of mortality (aOR = 4.4) on 1:1 propensity-matched analysis. The incidence of acute kidney injury (aOR = 2.62, CI 1.95-3.52, p < 0.001), acute respiratory failure (a0R = 1.84, CI 1.42-2.38, p < 0.001), sepsis (aOR = 4.99, CI 3.08-8.11, p < 0.001) and arrhythmias (aOR = 2.63, CI 1.99-3.48, p < 0.001) were also higher for PE patients with hypocalcemia. CONCLUSION: PE patients with hypocalcemia have higher in-hospital mortality than those without hypocalcemia. The in-hospital complications were also higher, along with longer length of stay.

Systemic Sclerosis Is Associated With Increased Inpatient Mortality in Patients Admitted for Atrial Fibrillation: Analysis of the National Inpatient Sample.

PURPOSE: The aim of this study was to compare the outcomes of patients primarily admitted for atrial fibrillation (AFib) with and without a secondary diagnosis of systemic sclerosis (SSc). The primary outcome was inpatient mortality. Hospital length of stay (LOS), total hospital charges, odds of undergoing ablation, and electrical cardioversion were secondary outcomes of interest. METHODS: Data were abstracted from the National Inpatient Sample (NIS) 2016 and 2017 Database. The NIS was searched for adult hospitalizations with AFib as principal diagnosis with and without SSc as secondary diagnosis using International Classification of Diseases, Tenth Revision, Clinical Modification codes. Multivariate logistic and linear regression analysis was used accordingly to adjust for confounders. RESULTS: There were over 71 million discharges included in the combined 2016 and 2017 NIS database. Of 821,630 AFib hospitalizations, 750 (0.09%) had SSc. The adjusted odds ratio for inpatient mortality for AFib with coexisting SSc compared with without coexisting SSc was 3.3 (95% confidence interval, 1.27-8.52; p = 0.014). Atrial fibrillation with coexisting SSc hospitalizations had similar LOS (4.2 vs 3.4 days; p = 0.767), mean total hospital charges ($40,809 vs $39,158; p = 0.266), odds of undergoing ablation (2.7% vs 4.2%; p = 0.461), and electrical cardioversion (12.0% vs 17.5%; p = 0.316) compared with without coexisting SSc. CONCLUSIONS: Patients admitted primarily for AFib with a secondary diagnosis of SSc have more than 3 times the odds of inpatient death compared with those without coexisting SSc. Hospital LOS, total hospital charges, likelihood of undergoing ablation, and electrical cardioversion were similar in both groups.

Pandemic effect on national hospitalizations for acute hyperglycemic complications.

Objective: This study aimed to describe the effect of the pandemic on epidemiologic trends and disparities in outcomes for patients hospitalized with acute hyperglycemic complications (AHC). Methods: This was a retrospective study of the National Inpatient Sample (NIS) database from 2016 to 2020. The population included adults hospitalized with AHCs as a principal diagnosis using the Clinical Classifications Software Refined code. Results: There was a decrease in the AHC hospitalization rate per 100,000 admissions for type 1 diabetes (T1D) during the pandemic (577 vs 600). However, there was an increase for type 2 diabetes (T2D) (117 vs 125). The mean age during the pandemic versus prepandemic was 34.8 ± 14.1 vs 34.7 ± 14.2 (P = 0.41) and 59.1 ± 14.4 vs 58.8 ± 14.7 (P = 0.51) for T1D and T2D, respectively. No statistically significant difference was observed in mortality in T1D (0.20 vs 0.23; P = 0.42) or T2D (1.1 vs 0.8; P = 0.09). There was no difference in mortality after stratifying results by gender, race, median household income, or hospital region. During the pandemic, COVID-19 was the principal diagnosis in 5.5% of those with AHC in T1D and 9.1% in those with AHC in T2D. Conclusion: The pandemic had a significant impact on the hospitalization rate for both T1D and T2D.

Trends and disparities in colorectal cancer hospitalizations and outcomes: a 10-year joinpoint trend study.

Background: Colorectal cancer (CRC) poses a significant burden on healthcare systems globally. Sociodemographic factors intricately influence CRC epidemiology, yet their impact on inpatient care remains underexplored. This study aimed to assess trends in CRC hospitalization and the effect of sociodemographic factors on outcomes of CRC patients. Methods: A retrospective longitudinal analysis was conducted using data from the Healthcare Cost and Utilization Project National Inpatient Sample. Trends in CRC admissions were assessed, stratified by sociodemographic variables. Disparities in hospital-associated outcomes were examined. Statistical methods included multivariable regression and joinpoint regression analysis. Results: The prevalence of CRC hospitalizations uptrended from 760 per 100,000 hospitalizations in 2010 to 841 per 100,000 hospitalizations in 2019 (P trend < 0.001). The mean age decreased from 67 to 66 years (P < 0.001). Male gender and White race were predominant across the study period. Inpatient mortality decreased from 4.5% in 2010 to 4.16% in 2019 (P trend = 0.033). On sex subgroup analysis, men had a significantly higher mortality rate (P = 0.034). Racially, Blacks had the highest mortality rate (P = 0.550) and only Whites showed a significant decline in mortality over the study period (P = 0.003). Hospitalization length decreased while total hospital charges increased. Conclusion: Our study highlights sociodemographic disparities in CRC outcomes, emphasizing the need for targeted interventions to address inequity in screening, diagnosis, and treatment. Continued research is needed to inform effective healthcare practices in mitigating these disparities and improving survival outcomes.

Increased national mortality in acute myocardial infarction hospitalization during the COVID-19 pandemic.

This retrospective study describes the effect of the COVID-19 pandemic on epidemiologic trends and highlights disparities in outcomes among acute myocardial infarction (AMI) hospitalizations. The National Inpatient Sample database from 2016 to 2020 was searched for hospitalizations of adult patients with AMI as a principal diagnosis using Clinical Classifications Software Refined codes. The admission rate for each calendar year was obtained as admission per 1000 adults hospitalized. The primary outcome was a comparison of inpatient mortality, and the secondary outcomes were the length of hospital stay and total hospital charge between prepandemic and pandemic years. During the pandemic (2020), the admission rate for AMI was 31.1 admissions per 1000 adults hospitalized compared to 33.4 admissions in 2019 (prepandemic) (P < 0.001). When compared to the prepandemic admissions, those admitted during the pandemic had a lower mean age (66.5 ± 13.2 vs 66.9 ± 13.4, P < 0.001), with more women (36.3% vs 37.3%, P < 0.001). The inpatient mortality during the pandemic was 5.0% compared to 4.5% in 2019 (P < 0.001). Mortality increased 12.0% in women vs 9.5% in men, 13.2% in Blacks vs 8.9% in Whites, and 6.5% in low-income vs 4.3% in high-income household hospitalizations. In conclusion, our study showed a statistically significant reduction in AMI admission rates during the pandemic and an increase in inpatient mortality. There were significant disparities in the increase in mortality across sociodemographic groups.

Pulmonary Hypertension Is Associated with Worse Outcomes in Patients Hospitalized for Sick Sinus Syndrome.

Sick sinus syndrome (SSS) is a condition of the sinoatrial node that arises from a constellation of aberrant rhythms, resulting in reduced pacemaker activity and impulse transmission. According to the World Health Organization, pulmonary hypertension (PH) is defined by a mean pulmonary arterial pressure of >25 mmHg at rest, measured during right heart catheterization. It can result in right atrial remodeling, which may predispose the patient to sinus node dysfunction. This study sought to estimate the impact of PH on clinical outcomes of hospitalizations with SSS. The U.S. National Inpatient Sample database from 2016-2019 was searched for hospitalized adult patients with SSS as a principal diagnosis with and without PH as a secondary diagnosis using the International Classification of Diseases, Tenth Revision, codes. The primary outcome was inpatient mortality. The secondary outcomes were acute kidney injury (AKI), cardiogenic shock (CS), cardiac arrest, rates of pacemaker insertion, total hospital charges (THCs), and length of stay (LOS). Multivariate regression analysis was used to adjust for confounders. A total of 181,230 patients were admitted for SSS; 8.3% (14,990) had underlying PH. Compared to patients without PH, patients admitted with coexisting PH had a statistically significant increase in mortality (95% confidence interval, 1.21-2.32; P = .002), AKI (P < .001), CS (P = .004), THC (P = .037), and LOS (P < .001). In conclusion, patients admitted primarily for SSS with coexisting PH had a statistically significant increase in mortality, AKI, CS, THC, and LOS. Additional studies geared at identifying and addressing the underlying etiologies for PH in this population may be beneficial in the management of this patient group.

Gender disparities, causes and predictors of immediate and short-term cardiovascular readmissions following COVID-19-related hospitalisations in the USA.

OBJECTIVES: In this study, we aimed to identify the causes, predictors and gender disparities of 30-day and 90-day cardiovascular readmissions after COVID-19-related hospitalisations using National Readmission Database (NRD) 2020. SETTING: We used the NRD from 2020 to identify hospitalised adults with a principal diagnosis of COVID-19 infection. PARTICIPANTS: We included subjects who were readmitted within 30 days and 90 days after index admission. We excluded subjects with elective and traumatic admissions. We used a multivariate Cox regression model to identify independent predictors of readmission. PRIMARY AND SECONDARY OUTCOMES MEASURES: Our outcomes were inpatient mortality, 30-day and 90-day cardiovascular readmission rates following COVID-19 infection. RESULTS: During the study period, there were 1 024 492 index hospitalisations with a primary diagnosis of COVID-19 infection in the 2020 NRD database, 644 903 (62.9%) were included for 30-day readmission analysis, and 418 122 (40.8%) were included for 90-day readmission analysis. Of patients involved in the 30-day analysis, 7140 (1.1%) patients had a readmission within 30 days; of patients involved in the 90-day analysis, 8379 (2.0%) had a readmission within 90 days due to primarily cardiovascular causes. Cox regression analysis revealed that the female sex (aHR 0.89; 95% CI 0.82 to 0.95; p=0.001) was associated with a lower hazard of 30-day cardiovascular readmissions; however, congestive heart failure (aHR 2.45; 95% CI 2.2 to 2.72; p<0.001), arrhythmias (aHR 2.45; 95% CI 2.2 to 2.72; p<0.001) and valvular disease (aHR 2.45; 95% CI 2.2 to 2.72; p<0.001) had a higher hazard. The most common causes of cardiovascular readmissions were heart failure (34.3%), deep vein thrombosis/pulmonary embolism (22.5%) and atrial fibrillation (9.5%). CONCLUSION: Our study demonstrates that male gender, heart failure, arrhythmias and valvular disease carry higher hazards of 30-day and 90-day cardiovascular readmissions. Identifying risk factors and common causes of readmission may assist with lowering the burden of cardiovascular disease in patients with COVID-19 infection.

Hospitalization Trends and Outcomes of Eosinophilic Esophagitis in the United States: A Decade-Long Nationwide Analysis.

Background Eosinophilic esophagitis (EoE) is a chronic antigen-mediated esophageal disease characterized by infiltration of the esophageal mucosa by eosinophils. The prevalence of EoE continues to rise worldwide. However, certain aspects of the epidemiology and pathogenesis remain unclear. Methods This study examined the hospitalization trends of EoE using an extensive inpatient database in the United States, the National (Nationwide) Inpatient Sample (NIS), to identify hospitalizations between 2010 and 2019. We assessed patient demographics as well as hospital-specific variables using the NIS. We obtained the prevalence rate of EoE for each year and used joinpoint regression analysis to obtain trends after adjusting the rate for age and gender. We also sought to characterize the outcomes of these hospitalizations by obtaining the mortality rate, length of stay (LOS), and total hospital charges (THC). Results Of 305 million hospitalizations included in the study, 33,878 were for EoE. The prevalence rate per 100,000 hospitalizations of EoE increased from 6.6 in 2010 to 15.5 in 2019. The annual percentage change obtained from the joinpoint regression analysis was 13.3% from 2010 to 2014 and 7.2% from 2014 to 2019. Most of the hospitalizations were among the male gender and young adults. Almost 95% of hospitalizations across the study period were seen in urban hospitals. We did not notice any significant trend in the mortality rates or length of stay over the study period. The THC increased significantly across the study period. Conclusion There has been an upward trend in the average prevalence rate of EoE over the decade from 2010 to 2019 which almost parallels that of inflammatory bowel disease. This represents a significant burden of disease for a condition that was initially recognized in the late 20th century.