Pandemic-related declines in hospitalization for non-COVID-19-related illness in the United States from January through July 2020

Background The COVID-19 pandemic, caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has substantially impacted healthcare utilization worldwide. The objective of this retrospective analysis of a large hospital discharge database was to compare all-cause and cause-specific hospitalizations during the first six months of the pandemic in the United States with the same months in the previous four years. Methods Data were collected from all hospitals in the Premier Healthcare Database (PHD) and PHD Special Release reporting hospitalizations from January through July for each year from 2016 through 2020. Hospitalization trends were analyzed stratified by age group, major diagnostic categories (MDCs), and geographic region. Results The analysis included 286 hospitals from all 9 US Census divisions. The number of all-cause hospitalizations per month was relatively stable from 2016 through 2019 and then fell by 21% (57,281 fewer hospitalizations) between March and April 2020, particularly in hospitalizations for non-respiratory illnesses. From April onward there was a rise in the number of monthly hospitalizations per month. Hospitalizations per month, nationally and in each Census division, decreased for 20 of 25 MDCs between March and April 2020. There was also a decrease in hospitalizations per month for all age groups between March and April 2020 with the greatest decreases in hospitalizations observed for patients 50–64 and ≥65 years of age. Conclusions Rates of hospitalization declined substantially during the first months of the COVID-19 pandemic, suggesting delayed routine, elective, and emergency care in the United States. These lapses in care for illnesses not related to COVID-19 may lead to increases in morbidity and mortality for other conditions. Thus, in the current stage of the pandemic, clinicians and public-health officials should work, not only to prevent SARS-CoV-2 transmission, but also to ensure that care for non-COVID-19 conditions is not delayed.

Phenotypic Disease Network Analysis to Identify Comorbidity Patterns in Hospitalized Patients with Ischemic Heart Disease Using Large-Scale Administrative Data

Ischemic heart disease (IHD) exhibits elevated comorbidity. However, few studies have systematically analyzed the comorbid status of IHD patients with respect to the entire spectrum of chronic diseases. This study applied network analysis to provide a complete picture of physical and mental comorbidities in hospitalized patients with IHD using large-scale administrative data. Hospital discharge records from a provincial healthcare database of IHD inpatients (n = 1,035,338) and one-to-one matched controls were included in this retrospective analysis. We constructed the phenotypic disease networks in IHD and control patients and further assessed differences in comorbidity patterns. The community detection method was applied to cluster diagnoses within the comorbidity network. Age- and sex-specific patterns of IHD comorbidities were also analyzed. IHD inpatients showed 50% larger comorbid burden when compared to controls. The IHD comorbidity network consisted of 1941 significant associations between 71 chronic conditions. Notably, the more densely connected comorbidities in IHD patients were not within the highly prevalent ones but the rarely prevalent ones. Two highly interlinked communities were detected in the IHD comorbidity network, where one included hypertension with heart and multi-organ failures, and another included cerebrovascular diseases, cerebrovascular risk factors and anxiety. Males exhibited higher comorbid burden than females, and thus more complex comorbidity relationships were found in males. Sex-specific disease pairs were detected, e.g., 106 and 30 disease pairs separately dominated in males and females. Aging accounts for the majority of comorbid burden, and the complexity of the comorbidity network increased with age. The network-based approach improves our understanding of IHD-related comorbidities and enhances the integrated management of patients with IHD.

First-Line Pharmacotherapies and Survival among Patients Diagnosed with Non-Resectable NSCLC: A Real-Life Setting Study with Gender Prospective

(1) Purpose: To describe first-line pharmacotherapy and overall survival in non-resectable non-small cell lung cancer (nrNSCLC) patients by gender. (2) Methods: Incident cases of nrNSCLC recorded between 2009 and 2019 (cohort entry) in the pathology registry of the regional administrative healthcare database of Tuscany were identified. Records of antineoplastic therapies delivered up to 4 months following cohort entry were classified as chemotherapy, target therapies, immunotherapies, and undefined monoclonal antibodies. First-line treatment and survival of patients receiving drug treatment was described. Analyses were stratified according to histology, gender, and cohort entry year. (3) Results: 4393 incident cases of nrNSCLC were included. Women with non-squamous-NSCLC received target-therapy more frequently than men (14.9% vs. 6.5%). Immunotherapy incidence of use varied between 3.8% (2017) and 9.1% (2019). The 2-year survival rate increased over time: for non-squamous-NSCLC, it was 22.3% (2009–2011) and 30.6% (2018–2019), while for squamous-NSCLC, it was 13.5% and 22.5%, respectively. After multivariate analysis, a low reduction in mortality risk in 2018–2019 vs. 2009–2011 was found (non-squamous: HR: 0.95 CI95%: 0.92–0.98; squamous: HR: 0.94 CI95%: 0.90–0.98). Among non-squamous NSCLC, median survival was longer in women than in men (389 vs. 276 days). (4) Conclusion: In light of sex-related biomolecular differences, among non-squamous NSCLC, women received target-therapy more frequently than men. Survival seemed to slightly improve over the study period for both histologies, despite a poor reduction in mortality risk was still observed.

Clinical and Economic Outcomes of Intravenous Brivaracetam Compared With Levetiracetam for the Treatment of Seizures in United States Hospitals

Background: Seizures are common among hospitalized patients. Levetiracetam (LEV), a synaptic vesicle protein 2A (SV2A) ligand, is a common intravenous (IV) anti-seizure medication option in hospitals. Brivaracetam (BRV), a selective SV2A ligand for treatment of focal seizures in patients ≥16 years, has greater binding affinity, higher lipophilicity, and faster brain entry than IV LEV. Differences in clinical outcomes and associated costs between IV BRV and IV LEV in treating hospitalized patients with seizure remain unknown.Objectives: To compare the clinical outcomes, costs, and healthcare resource utilization between patients with seizure treated with IV BRV and those with IV LEV within hospital setting.Design/Methods: A retrospective cohort analysis was performed using chargemaster data from 210 United States hospitals in Premier Healthcare Database. Adult patients (age ≥18 years) treated intravenously with LEV or BRV (with or without BZD) and a seizure discharge diagnosis between July 1, 2016 and December 31, 2019 were included. The cohorts were propensity score-matched 4:1 on baseline characteristics. Outcomes included intubation rates, intensive care unit (ICU) admission, length of stay (LOS), all-cause and seizure-related readmission, total hospitalization cost, and in-hospital mortality. A multivariable regression analysis was performed to determine the association between treatment and main outcomes adjusting for unbalanced confounders.Results: A total of 450 patients were analyzed (IV LEV, n = 360 vs. IV BRV, n = 90). Patients treated with IV BRV had lower crude prevalence of ICU admission (14.4 vs. 24.2%, P < 0.05), 30-day all-cause readmission (1.1 vs. 6.4%, P = 0.06), seizure-related 30-day readmission (0 vs. 4.2%, P < 0.05), similar mean total hospitalization costs ($13,715 vs. $13,419, P = 0.91), intubation (0 vs. 1.1%, P = 0.59), and in-hospital mortality (4.4 vs. 3.9%, P = 0.77). The adjusted odds for ICU admission (adjusted odds ratio [aOR] = 0.6; 95% confidence interval [CI]:0.31, 1.16; P = 0.13), 30-day all-cause readmission (aOR = 0.17; 95% CI:0.02, 1.24; P = 0.08), and in-hospital mortality (aOR = 1.15; 95% CI:0.37, 3.58, P = 0.81) were statistically similar between comparison groups.Conclusion: The use of IV BRV may provide an alternative to IV LEV for management of seizures in hospital setting due to lower or comparable prevalence of ICU admission, intubation, and 30-day seizure-related readmission. Additional studies with greater statistical power are needed to confirm these findings.

The Incidence and Management of Osgood-Schlatter Disease in General Practice

Background: Osgood-Schlatter disease (OSD) is a non-traumatic knee problem that primarily observed in sports active children and adolescents between the age of 8 and 15. Aim: The objective of this study was to determine the incidence of OSD and to gain insight into the management of children and adolescents with OSD in general practice. Design and Setting: A retrospective cohort study was conducted using a healthcare database containing full electronic health records of over 200.000 patients in general practice in and around the Dutch city of Rotterdam. Methods: Patients with a new diagnosis of OSD between the years 2012-2018 were extracted using a search algorithm based on International Classification of Primary Health Care (ICPC) coding and search terms in free text. Data on the management of OSD were manually interpreted. Results: The mean incidence over the study period was 3.8 (95% CI 3.5-4.2) per 1000 person years in the age group of 8-19 years. Boys had a higher incidence rate of 4.9 (95% CI 4.3-5.5) compared to girls, at 2.7 (95% CI 2.3-3.2). Peak incidence was at age 12 for boys and at age 11 for girls. Advice was the most commonly applied strategy (55.1%), followed by rest (21.0%) and referral for imaging (19.5%) and physiotherapy (13.4%). Conclusion: For the first time the incidence of OSD is calculated using GP electronic medical files. There is a discrepancy, especially for imaging and referral to a medical specialist, between the current general practice guideline and what GPs actually recommended.

Real-world outcomes associated with the use of the EmboTrap revascularization device for ischemic stroke in the United States

BackgroundMechanical thrombectomy (MT) has become the standard of care for the treatment of acute ischemic stroke (AIS). The EmboTrap revascularization device (CERENOVUS, Johnson & Johnson Medical Devices, Irvine, California, USA) has an innovative, dual layer feature designed to facilitate thrombus retrieval.ObjectiveTo investigate the real-world clinical and economic outcomes among patients with AIS undergoing MT using the EmboTrap device in the United States (US).MethodsAdult patients (≥18 years) who underwent MT for AIS using the EmboTrap device between July 2018 and December 2020 were identified from the Premier Healthcare Database. Patient outcomes included discharge status (including in-hospital mortality), mean length of stay (LOS), intracranial hemorrhage (ICH), mean hospital costs, and 30-day readmissions (all-cause, cardiovascular (CV)-related, and AIS-related).ResultsA total of 318 patients (mean age 68.5±14.6 years) with AIS treated with the EmboTrap device as the only stent retriever used were identified. Approximately 25% of patients were discharged to home/home health organization, and the in-hospital mortality rate was 10.7%. The rate of ICH was 16.7%. Mean hospital LOS was 9.9±11.3 days, and the mean hospital costs were US$47 367±30 297. The 30-day readmission rate was 9.6% for all-causes, 5.9% for CV-related causes, and 2.6% for AIS-related causes.ConclusionsThis is the first study in the US to report real-world outcomes sourced by retrospective database analysis among patients with AIS undergoing MT using the EmboTrap device. Further research is needed to better understand performance of the EmboTrap device in real-world settings.

Sampling strategy, characteristics and representativeness of the InGef research database

Objectives The aim of this study was to describe the sampling strategy as well as characteristics and the external validity of a representative sample database drawn from the German InGef research database. Study Design This is a retrospective cohort study using anonymized claims data for the year 2019. Methods The InGef research database is an anonymized healthcare database with longitudinal claims data from approximately 8.8 Mio insurees. A sample of four million insurees was drawn intended to be representative for the German population with respect to age, sex and region. In addition to demographic information, data on hospitalization rates, mortality rates and drug prescription rates was analysed from the InGef sample database for the year 2019 to demonstrate validity and representativeness. Corresponding national reference data were obtained from official sources. Results The distributions of sex and age were similar in the InGef sample database and Germany (proportion of women: 50.8% vs. 50.7%; mean age: 44.1 vs 43.9 years). The proportion of insurees living in the eastern part of Germany was lower in the InGef sample database (16.5% vs. 19.5 %). There was good accordance with German reference data with respect to hospitalization rates and overall mortality rates. Prescription rates for the 20 most often reimbursed drug classes were slightly higher in the InGef sample database. Conclusions The InGef sample database shows good overall agreement with the German population on measures of morbidity, mortality, and drug usage.