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Introduction Reliable cost and resource use data for COVID-19 hospitalizations are crucial to better inform local healthcare resource decisions; however, available data are limited and vary significantly. Methods COVID-19 hospital admissions data from the Premier Healthcare Database were evaluated to estimate hospital costs, length of stay (LOS), and discharge status. Adult COVID-19 patients (ICD-10-CM: U07.1) hospitalized in the US from April 1 to December 31, 2020, were identified. Analyses were stratified by patient and hospital characteristics, levels of care during hospitalization, and discharge status. Factors associated with changes in costs, LOS, and discharge status were estimated using regression analyses. Monthly trends in costs, LOS, and discharge status were examined. Results Of the 247,590 hospitalized COVID-19 patients, 49% were women, 76% were aged ≥ 50, and 36% were admitted to intensive care units (ICU). Overall median hospital LOS, cost, and cost/day were 6 days, US$11,267, and $1772, respectively; overall median ICU LOS, cost, and cost/day were 5 days, $13,443, and $2902, respectively. Patients requiring mechanical ventilation had the highest hospital and ICU median costs ($47,454 and $41,510) and LOS (16 and 11 days), respectively. Overall, 14% of patients died in hospital and 52% were discharged home. Older age, Black and Caucasian race, hypertension and obesity, treatment with extracorporeal membrane oxygenation, and discharge to long-term care facilities were major drivers of costs, LOS, and risk of death. Admissions in December had significantly lower median hospital and ICU costs and LOS compared to April. Conclusion The burden from COVID-19 in terms of hospital and ICU costs and LOS has been substantial, though significant decreases in cost and LOS and increases in the share of hospital discharges to home were observed from April to December 2020. These estimates will be useful for inputs to economic models, disease burden forecasts, and local healthcare resource planning. Supplementary Information The online version contains supplementary material available at 10.1007/s12325-021-01887-4.

Early identification of symptoms and comorbidities most predictive of COVID-19 is critical to identify infection, guide policies to effectively contain the pandemic, and improve health systems’ response. Here, we characterised socio-demographics and comorbidity in 3,316,107persons tested and 219,072 persons tested positive for SARS-CoV-2 since January 2020, and their key health outcomes in the month following the first positive test. Routine care data from primary care electronic health records (EHR) from Spain, hospital EHR from the United States (US), and claims data from South Korea and the US were used. The majority of study participants were women aged 18-65 years old. Positive/tested ratio varied greatly geographically (2.2:100 to 31.2:100) and over time (from 50:100 in February-April to 6.8:100 in May-June). Fever, cough and dyspnoea were the most common symptoms at presentation. Between 4%-38% required admission and 1-10.5% died within a month from their first positive test. Observed disparity in testing practices led to variable baseline characteristics and outcomes, both nationally (US) and internationally. Our findings highlight the importance of large scale characterization of COVID-19 international cohorts to inform planning and resource allocation including testing as countries face a second wave.

Background To better understand the profile of individuals with severe coronavirus disease 2019 (COVID-19), we characterised individuals hospitalised with COVID-19 and compared them to individuals previously hospitalised with influenza. Methods We report the characteristics (demographics, prior conditions and medication use) of patients hospitalised with COVID-19 between December 2019 and April 2020 in the US (Columbia University Irving Medical Center [CUIMC], STAnford Medicine Research data Repository [STARR-OMOP], and the Department of Veterans Affairs [VA OMOP]) and Health Insurance Review & Assessment [HIRA] of South Korea. Patients hospitalised with COVID-19 were compared with patients previously hospitalised with influenza in 2014–19. Results 6,806 (US: 1,634, South Korea: 5,172) individuals hospitalised with COVID-19 were included. Patients in the US were majority male (VA OMOP: 94%, STARR-OMOP: 57%, CUIMC: 52%), but were majority female in HIRA (56%). Age profiles varied across data sources. Prevalence of asthma ranged from 7% to 14%, diabetes from 18% to 43%, and hypertensive disorder from 22% to 70% across data sources, while between 9% and 39% were taking drugs acting on the renin-angiotensin system in the 30 days prior to their hospitalisation. Compared to 52,422 individuals hospitalised with influenza, patients admitted with COVID-19 were more likely male, younger, and, in the US, had fewer comorbidities and lower medication use. Conclusions Rates of comorbidities and medication use are high among individuals hospitalised with COVID-19. However, COVID-19 patients are more likely to be male and appear to be younger and, in the US, generally healthier than those typically admitted with influenza.

Comorbid conditions appear to be common among individuals hospitalised with coronavirus disease 2019 (COVID-19) but estimates of prevalence vary and little is known about the prior medication use of patients. Here, we describe the characteristics of adults hospitalised with COVID-19 and compare them with influenza patients. We include 34,128 (US: 8362, South Korea: 7341, Spain: 18,425) COVID-19 patients, summarising between 4811 and 11,643 unique aggregate characteristics. COVID-19 patients have been majority male in the US and Spain, but predominantly female in South Korea. Age profiles vary across data sources. Compared to 84,585 individuals hospitalised with influenza in 2014-19, COVID-19 patients have more typically been male, younger, and with fewer comorbidities and lower medication use. While protecting groups vulnerable to influenza is likely a useful starting point in the response to COVID-19, strategies will likely need to be broadened to reflect the particular characteristics of individuals being hospitalised with COVID-19., Detailed knowledge of the characteristics of COVID-19 patients helps with public health planning. Here, the authors use routinely-collected data from seven databases in three countries to describe the characteristics of >30,000 patients admitted with COVID-19 and compare them with those admitted for influenza in previous years.

Rapid increase in abuse and overdose of controlled substances was the main driving force of implementing Prescription Drug Monitoring Programs (PDMP). We aimed to describe how the integrated Indiana's PDMP (INSPECT) data into an electronic health record (EHR) can improve clinical workflow within an emergency department (ED). After integration, upon patient arrival into the ED, a PDMP report containing history of dispensed schedule II-V medications is retrieved and stored in the patient's medical record. The evaluation of the new system among physicians showed high satisfaction of having access to the patients' medication history through the existing EHR. We show that the PDMP data was easily accessible and more informative in the new integrated system. The PDMP report alters the pattern of prescribing narcotic medications to patients. In conclusion, enhancing workflow through PDMP reports integration with the patients' EHR is valued by the clinicians and reduces the number of narcotic prescriptions.

Breast cancer is one of the most common forms of cancer observed in women and endogenous estrogens are thought to play a major role in its development. Tamoxifen is a selective estrogen receptor (ER) modulator which is widely used to treat and prevent breast cancer. Tamoxifen is an ER antagonist in the breast but an ER agonist in cardiovascular system (CVS) and some other tissues. Many patients experience resistance to tamoxifen. Several studies have indicated various mechanisms in tamoxifen resistance. Growth factors and their receptors, extracellular proteins, transcription factors, cell-cycle regulators, and signal-transduction molecules have been identified as being potentially involved in tamoxifen resistance. The aim of the present hypothesis is to provide evidences that may lead to this suggestion that renin–angiotensin system (RAS) may have a role in tamoxifen resistance. It has been established in numerous studies that RAS play a role in the progression of various cancers such as breast cancer. Besides, other studies have indicated that estrogen has an inhibitory effect on the RAS components levels in CVS and various tissues such as the adrenal and the pituitary. Therefore, it can be suggested that tamoxifen may increase RAS components levels in the breast tissue by its antagonistic effect on ER and causes resistance. Confirmation of this theory by experimental investigations may lead to this suggestion that combination of angiotensin-converting enzyme inhibitors or angiotensin receptor-1 blockers with tamoxifen may have a preventive effect on development of acquired tamoxifen resistance.

Breast cancer is the prevalent cancer worldwide. Excessive exposure to endogenous estrogen across a woman's lifespan contributes to and may be a causal factor in breast cancer. Tamoxifen is a mixed estrogen agonist and antagonist, which is used in treatment and prevention of breast cancer as an estrogen antagonist. Many patients experience resistance to tamoxifen for which many mechanisms have been suggested. Endothelin-1 acts as a mitogen for human breast fibroblasts and it affects tumor cell proliferation, invasion, angiogenesis, neovascularization, mitogenesis, and apoptosis inhibition. Previous studies have shown that estradiol is effective in inhibiting endothelin synthesis in breast tissue and cardiovascular system. Tamoxifen as an estrogen receptor (ER) agonist in cardiovascular system has a cardioprotective effect and decreases endothelin level as a vasoconstrictor in cardiovascular system. But in breast tissue tamoxifen acts as an ER antagonist. According to the role of endothelin in breast cancer and inhibitory effect of estrogen on endothelin, we hypothesized that tamoxifen causes increasing in endothelin level or endothelin receptors probably by inhibitory effect on ER in breast tissue, leading to tamoxifen resistance. Therefore a combination of tamoxifen with endothelin antagonist seems to be a reasonable therapeutic strategy.