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.

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.

Readmission rates and outcomes in adults with and without COVID-19 following inpatient chemotherapy admission: A nationwide analysis.

BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic has received considerable attention in the scientific community due to its impact on healthcare systems and various diseases. However, little focus has been given to its effect on cancer treatment. AIM: To determine the effect of COVID-19 pandemic on cancer patients' care. METHODS: A retrospective review of a Nationwide Readmission Database (NRD) was conducted to analyze hospitalization patterns of patients receiving inpatient chemotherapy (IPCT) during the COVID-19 pandemic in 2020. Two cohorts were defined based on readmission within 30 d and 90 d. Demographic information, readmission rates, hospital-specific variables, length of hospital stay (LOS), and treatment costs were analyzed. Comorbidities were assessed using the Elixhauser comorbidity index. Multivariate Cox regression analysis was performed to identify independent predictors of readmission. Statistical analysis was conducted using Stata® Version 16 software. As the NRD data is anonymous and cannot be used to identify patients, institutional review board approval was not required for this study. RESULTS: A total of 87755 hospitalizations for IPCT were identified during the pandemic. Among the 30-day index admission cohort, 55005 patients were included, with 32903 readmissions observed, resulting in a readmission rate of 59.8%. For the 90-day index admission cohort, 33142 patients were included, with 24503 readmissions observed, leading to a readmission rate of 73.93%. The most common causes of readmission included encounters with chemotherapy (66.7%), neutropenia (4.36%), and sepsis (3.3%). Comorbidities were significantly higher among readmitted hospitalizations compared to index hospitalizations in both readmission cohorts. The total cost of readmission for both cohorts amounted to 1193000000.00 dollars. Major predictors of 30-day readmission included peripheral vascular disorders [Hazard ratio (HR) = 1.09, P < 0.05], paralysis (HR = 1.26, P < 0.001), and human immunodeficiency virus/acquired immuno-deficiency syndrome (HR = 1.14, P = 0.03). Predictors of 90-day readmission included lymphoma (HR = 1.14, P < 0.01), paralysis (HR = 1.21, P = 0.02), and peripheral vascular disorders (HR = 1.15, P < 0.01). CONCLUSION: The COVID-19 pandemic has significantly impacted the management of patients undergoing IPCT. These findings highlight the urgent need for a more strategic approach to the care of patients receiving IPCT during pandemics.

Effect of the COVID-19 pandemic on the epidemiological trends and outcomes of gastrointestinal bleeding: a nationwide study.

The COVID-19 pandemic altered healthcare delivery in the United States. This study examined the effect of the COVID-19 pandemic on the epidemiological trends and outcomes of gastrointestinal bleeding. We compared the admission rate, in-hospital mortality rate, and mean length of hospital stay between 2019 and 2020 to estimate the pandemic effect. The study highlighted disparities in outcomes of gastrointestinal bleeding hospitalizations stratified by sex and race. We noted a 9.5% reduction in the total number of hospitalizations in 2020. We also observed a 13% increase in overall mortality during the pandemic (P < 0.001). There was a 15.8% increase in mortality among men (P = 0.007), compared to a 4.7% increase among women (P = 0.059). There was a significant increase in mortality among Whites in 2020 compared to Black and Hispanic populations. On multivariable logistic regression, admission during the COVID-19 pandemic was associated with increased length of stay when adjusted for age, sex, and race. Despite the direct COVID-19-related morbidity and mortality, the so-called indirect effect of the pandemic cannot be overlooked. For the remainder of the pandemic and future health emergencies, it is critical to balance mitigation of the spread of the contagion with clear public health messages to not neglect other life-threatening emergencies.

Trends and Disparities in Outcomes of Clostridioides difficile Infection Hospitalizations in the United States: A Ten-Year Joinpoint Trend Analysis.

Background: Clostridioides difficile infection (CDI) is the most frequently reported nosocomial infection. This study aimed to describe epidemiological trends, sex, race, and economic disparities in clinical and mortality outcomes among CDI hospitalizations over a decade. Methods: We queried Nationwide Inpatient Sample databases from 2010 to 2019, identified hospitalizations with CDI, and obtained the incidence and admission rate of CDI per 100,000 adult hospitalizations each year. We analyzed trends in mortality rate, mean length of hospital stay (LOS), and mean total hospital charge (THC). We highlighted disparities in outcomes stratified by sex, race, and mean household income quartile. Results: Of the 305 million hospitalizations included in our study, over 3.3 million were complicated by CDI, with 1.01 million principal admissions for CDI. Among primary admissions for CDI, the mortality rate decreased from 3.2% in 2010 to 1.4% in 2019. Mean LOS reduced from 6.6 to 5.3 days while mean THC increased from US$40,593 to US$42,934 between 2010 and 2019. Females had a 21% decrease in adjusted odds of mortality compared to males (all P-trends < 0.001). Middle-aged and elderly patients had aOR of 4.96 and 14.74 respectively for mortality when compared to young adults (P < 0.001). Mortality rates showed a steady decline among Whites over the study period. Mean LOS trends were similar across racial subgroups. Conclusions: Outcomes of CDI hospitalizations improved over the studied decade. Older age, male sex, and being from a minority racial group were associated with worse clinical and mortality outcomes. Further studies are needed to elucidate the reasons for these findings.

Rates, Reasons, and Independent Predictors of Readmissions in Portal Venous Thrombosis Hospitalizations in the USA.

Background: Portal vein thrombosis (PVT), generally considered rare, is becoming increasingly recognized with advanced imaging. Limited data exist regarding readmissions in PVT and its burden on the overall healthcare cost. This study aimed to outline the burden of PVT readmissions and identify the modifiable predictors of readmissions. Methods: The National Readmission Database (NRD) was used to identify PVT admissions from 2016 to 2019. Using the patient demographic and hospital-specific variables within the NRD, we grouped patient encounters into two cohorts, 30- and 90-day readmission cohorts. We assessed comorbidities using the validated Elixhauser comorbidity index. We obtained inpatient mortality rates, mean length of hospital stay (LOS), total hospital cost (THC), and causes of readmissions in both 30- and 90-day readmission cohorts. Using a multivariate Cox regression analysis, we identified the independent predictors of 30-day readmissions. Results: We identified 17,971 unique index hospitalizations, of which 2,971 (16.5%) were readmitted within 30 days. The top five causes of readmissions in both 30-day and 90-day readmission cohorts were PVT, sepsis, hepatocellular cancer, liver failure, and alcoholic liver cirrhosis. The following independent predictors of 30-day readmission were identified: discharge against medical advice (AMA) (adjusted hazard ratio (aHR) 1.86; P = 0.002); renal failure (aHR 1.44, P = 0.014), metastatic cancer (aHR 1.31, P = 0.016), fluid and electrolyte disorders (aHR 1.20, P = 0.004), diabetes mellitus (aHR 1.31, P = 0.001) and alcohol abuse (aHR 1.31, P ≤ 0.001). Conclusion: The readmission rate identified in this study was higher than the national average and targeted interventions addressing these factors may help reduce the overall health care costs.