Predicting Successful Weaning from Mechanical Ventilation by Reduction in Positive End-expiratory Pressure Level Using Machine Learning.

Weaning patients from mechanical ventilation (MV) is a critical and resource intensive process in the Intensive Care Unit (ICU) that impacts patient outcomes and healthcare expenses. Weaning methods vary widely among providers. Prolonged MV is associated with adverse events and higher healthcare expenses. Predicting weaning readiness is a non-trivial process in which the positive end-expiratory pressure (PEEP), a crucial component of MV, has potential to be indicative but has not yet been used as the target. We aimed to predict successful weaning from mechanical ventilation by targeting changes in the PEEP-level using a supervised machine learning model. This retrospective study included 12,153 mechanically ventilated patients from Medical Information Mart for Intensive Care (MIMIC-IV) and eICU collaborative research database (eICU-CRD). Two machine learning models (Extreme Gradient Boosting and Logistic Regression) were developed using a continuous PEEP reduction as target. The data is splitted into 80% as training set and 20% as test set. The model's predictive performance was reported using 95% confidence interval (CI), based on evaluation metrics such as area under the receiver operating characteristic (AUROC), area under the precision-recall curve (AUPRC), F1-Score, Recall, positive predictive value (PPV), and negative predictive value (NPV). The model's descriptive performance was reported as the variable ranking using SHAP (SHapley Additive exPlanations) algorithm. The best model achieved an AUROC of 0.84 (95% CI 0.83-0.85) and an AUPRC of 0.69 (95% CI 0.67-0.70) in predicting successful weaning based on the PEEP reduction. The model demonstrated a Recall of 0.85 (95% CI 0.84-0.86), F1-score of 0.86 (95% CI 0.85-0.87), PPV of 0.87 (95% CI 0.86-0.88), and NPV of 0.64 (95% CI 0.63-0.66). Most of the variables that SHAP algorithm ranked to be important correspond with clinical intuition, such as duration of MV, oxygen saturation (SaO2), PEEP, and Glasgow Coma Score (GCS) components. This study demonstrates the potential application of machine learning in predicting successful weaning from MV based on continuous PEEP reduction. The model's high PPV and moderate NPV suggest that it could be a useful tool to assist clinicians in making decisions regarding ventilator management.

COVID-19 and pregnancy: A European study on pre- and post-infection medication use.

PURPOSE: The COVID-19 pandemic has impacted medication needs and prescribing practices, including those affecting pregnant women. Our goal was to investigate patterns of medication use among pregnant women with COVID-19, focusing on variations by trimester of infection and location. METHODS: We conducted an observational study using six electronic healthcare databases from six European regions (Aragon/Spain; France; Norway; Tuscany, Italy; Valencia/Spain; and Wales/UK). The prevalence of primary care prescribing or dispensing was compared in the 30-day periods before and after a positive COVID-19 test or diagnosis. RESULTS: The study included 294,126 pregnant women, of whom 8943 (3.0%) tested positive for, or were diagnosed with, COVID-19 during their pregnancy. A significantly higher use of antithrombotic medications was observed particularly after COVID-19 infection in the second and third trimesters. The highest increase was observed in the Valencia region where use of antithrombotic medications in the third trimester increased from 3.8% before COVID-19 to 61.9% after the infection. Increases in other countries were lower; for example, in Norway, the prevalence of antithrombotic medication use changed from around 1-2% before to around 6% after COVID-19 in the third trimester. Smaller and less consistent increases were observed in the use of other drug classes, such as antimicrobials and systemic corticosteroids. CONCLUSION: Our findings highlight the substantial impact of COVID-19 on primary care medication use among pregnant women, with a marked increase in the use of antithrombotic medications post-COVID-19. These results underscore the need for further research to understand the broader implications of these patterns on maternal and neonatal/fetal health outcomes.

Predicting Hypoxia Using Machine Learning: Systematic Review.

Background: Hypoxia is an important risk factor and indicator for the declining health of inpatients. Predicting future hypoxic events using machine learning is a prospective area of study to facilitate time-critical interventions to counter patient health deterioration. Objective: This systematic review aims to summarize and compare previous efforts to predict hypoxic events in the hospital setting using machine learning with respect to their methodology, predictive performance, and assessed population. Methods: A systematic literature search was performed using Web of Science, Ovid with Embase and MEDLINE, and Google Scholar. Studies that investigated hypoxia or hypoxemia of hospitalized patients using machine learning models were considered. Risk of bias was assessed using the Prediction Model Risk of Bias Assessment Tool. Results: After screening, a total of 12 papers were eligible for analysis, from which 32 models were extracted. The included studies showed a variety of population, methodology, and outcome definition. Comparability was further limited due to unclear or high risk of bias for most studies (10/12, 83%). The overall predictive performance ranged from moderate to high. Based on classification metrics, deep learning models performed similar to or outperformed conventional machine learning models within the same studies. Models using only prior peripheral oxygen saturation as a clinical variable showed better performance than models based on multiple variables, with most of these studies (2/3, 67%) using a long short-term memory algorithm. Conclusions: Machine learning models provide the potential to accurately predict the occurrence of hypoxic events based on retrospective data. The heterogeneity of the studies and limited generalizability of their results highlight the need for further validation studies to assess their predictive performance.

Cost-effectiveness of transcatheter aortic valve implantation in patients at low surgical risk in France: a model-based analysis of the Evolut LR trial.

BACKGROUND: In the recent Evolut Low Risk randomized trial, transcatheter aortic valve implantation (TAVI) was shown to be non-inferior to surgery (SAVR) regarding the composite end point of all-cause mortality or disabling stroke at 24 months. AIMS: To evaluate the cost-effectiveness of self-expandable TAVI in low-risk patients, using the French healthcare system as the basis for analysis. METHODS: Mortality, health-related quality of life, and clinical event rates through two-year follow-up were derived from trial data (N = 725 TAVI and N = 678 SAVR; mean age: 73.9 years; mean STS-PROM: 1.9%). Cost inputs were based on real-world data for TAVI and SAVR procedures in the French healthcare system. Costs and effectiveness as quality-adjusted life years (QALYs) were projected to lifetime via a decision-analytic model under assumption of no mortality difference beyond two years. The discounted incremental cost-effectiveness ratio (ICER) was evaluated against a willingness-to-pay threshold of €50,000 per QALY gained. Deterministic and probabilistic sensitivity analyses were conducted, including assumptions about differential long-term survival. RESULTS: For the base case, mean survival was 13.69 vs 13.56 (+ 0.13) years for TAVI and SAVR, respectively. Discounted QALYs were 9.34 vs. 9.21 (+ 0.13) and discounted lifetime costs €52,267 vs. €51,433 (+ €833), resulting in a lifetime ICER of €6368 per QALY gained. In probabilistic sensitivity analysis, TAVI was found dominant or cost-effective in 74.4% of samples. CONCLUSION: TAVI in patients at low surgical risk is a cost-effective alternative to SAVR in the French healthcare system. Longer follow-up data will help increase the accuracy of lifetime survival projections.

Handheld Lung Ultrasound to Detect COVID-19 Pneumonia in Inpatients: A Prospective Cohort Study.

Background: Chest imaging, including chest X-ray (CXR) and computed tomography (CT), can be a helpful adjunct to nucleic acid test (NAT) in the diagnosis and management of Coronavirus Disease 2019 (COVID-19). Lung point of care ultrasound (POCUS), particularly with handheld devices, is an imaging alternative that is rapid, highly portable, and more accessible in low-resource settings. A standardized POCUS scanning protocol has been proposed to assess the severity of COVID-19 pneumonia, but it has not been sufficiently validated to assess diagnostic accuracy for COVID-19 pneumonia. Purpose: To assess the diagnostic performance of a standardized lung POCUS protocol using a handheld POCUS device to detect patients with either a positive NAT or a COVID-19-typical pattern on CT scan. Methods: Adult inpatients with confirmed or suspected COVID-19 and a recent CT were recruited from April to July 2020. Twelve lung zones were scanned with a handheld POCUS machine. Images were reviewed independently by blinded experts and scored according to the proposed protocol. Patients were divided into low, intermediate, and high suspicion based on their POCUS score. Results: Of 79 subjects, 26.6% had a positive NAT and 31.6% had a typical CT pattern. The receiver operator curve for POCUS had an area under the curve (AUC) of 0.787 for positive NAT and 0.820 for a typical CT. Using a two-point cutoff system, POCUS had a sensitivity of 0.90 and 1.00 compared to NAT and typical CT pattern, respectively, at the lower cutoff; it had a specificity of 0.90 and 0.89 compared to NAT and typical CT pattern at the higher cutoff, respectively. Conclusions: The proposed lung POCUS protocol with a handheld device showed reasonable diagnostic performance to detect inpatients with a positive NAT or typical CT pattern for COVID-19. Particularly in low-resource settings, POCUS with handheld devices may serve as a helpful adjunct for persons under investigation for COVID-19 pneumonia.

Use of Urea for the Syndrome of Inappropriate Secretion of Antidiuretic Hormone: A Systematic Review.

Importance: Hyponatremia and the syndrome of inappropriate secretion of antidiuretic hormone (SIADH) are associated with significant mortality and morbidity. The effectiveness and safety of oral urea for SIADH are still debated. Objective: To evaluate the efficacy and safety of urea for the treatment of SIADH. Evidence Review: A systematic search of Medline and Embase was conducted for controlled and uncontrolled studies of urea for SIADH in adult patients. The primary outcome was serum sodium concentration after treatment. Secondary outcomes included the proportion of patients with osmotic demyelination syndrome (ODS), intracranial pressure, and resource use such as length of stay. Findings: Twenty-three studies involving 537 patients with SIADH were included, of which 462 were treated with urea. The pooled mean baseline serum sodium was 125.0 mmol/L (95% CI, 122.6-127.5 mmol/L). The median treatment duration with oral urea was 5 days. Urea increased serum sodium concentration by a mean of 9.6 mmol/L (95% CI, 7.5-11.7 mmol/L). The mean increase in serum sodium after 24 hours was 4.9 mmol/L (95% CI, 0.5-9.3 mmol/L). Adverse events were few, mainly consisting of distaste or dysgeusia, and no case of ODS was reported. Resource use was too infrequently reported to be synthesized. Conclusions and Relevance: In this systematic review of the use of urea in SIADH and despite the lack of randomized clinical trials, lower-quality evidence was identified that suggests that urea may be an effective, safe, and inexpensive treatment modality that warrants further exploration.

Cost associated with diverting ostomy after rectal cancer surgery: a transnational analysis.

BACKGROUND: Diverting ileostomy and colostomy after total mesorectal excision reduces the risk of complications related to anastomotic leakages but is associated with a reduction in health-related quality of life and long-term economic consequences that are unknown. Our objective was to estimate the lifetime costs of stoma placement after rectal cancer resection in the U.S., England, and Germany. METHODS: Input parameters were derived from quasi-systematic literature searches. Decision-analytic models with survival from colorectal cancer-adjusted life tables and country-specific stoma reversal proportions were created for the three countries to calculate lifetime costs. Main cost items were stoma maintenance costs and reimbursement for reversal procedures. Discounting was applied according to respective national guidelines. Sensitivity analysis was conducted to explore the impact of parameter uncertainty onto the results. RESULTS: The cohort starting ages and median survival were 63 and 11.5 years for the U.S., 69 years and 8.5 years for England, and 71 and 6.5 years for Germany. Lifetime discounted stoma-related costs were $26,311, £9512, and €10,021, respectively. All three models were most sensitive to the proportion of ostomy reversal, age at baseline, and discount rate applied. CONCLUSION: Conservative model-based projections suggest that stoma care leads to significant long-term costs. Efforts to reduce the number of patients who need to undergo a diverting ostomy could result in meaningful cost savings.

Evaluating disparities in code status designation among patients admitted with COVID-19 at a quaternary care center early in the pandemic.

The COVID-19 pandemic has highlighted disparities in outcomes by social determinants to health. It is unclear how much end-of-life discussions and a patient's decision about code status ("do not resuscitate," do not resuscitate, or "comfort measures only," [CMO] orders) might contribute to in hospital disparities in care, especially given know racial inequities in end-of-life care. Here, we looked at factors associated with code status orders at the end of hospitalization for patients with COVID-19. We conducted a retrospective chart review of all patients who presented to the Emergency Department of a large quaternary hospital between 8 March and 3 June 2020. We used logistic regression modeling to quantify the degree to which social determinants of health, including race, ethnicity, area deprivation index (ADI), English as a primary language, homelessness, and illicit substance use might impact the likelihood of a particular code status at the end-of a patient's hospitalization, while controlling for disease severity. Among social determinants to health, only white race (odds ratio [OR] 2.0; P = .03) and higher ADI (OR 1.2; P = .03) were associated with having a do not resuscitate or a CMO order. Additionally, we found that patients with white race (OR 2.9; P = .02) were more likely to carry a CMO order. Patient race and ADI were associated with different code status orders at the end of hospitalization. Differences in code status might have contributed to disparities in COVID-19 outcomes early in the pandemic, though further investigations are warranted.

Evaluating disparities by social determinants in hospital admission decisions for patients with COVID-19 quaternary hospital early in the pandemic.

The COVID-19 pandemic has highlighted significant disparities in hospital outcomes when focusing on social determinants of health. Better understanding the drivers of these disparities is not only critical for COVID-19 care but also to ensure equitable treatment more generally. In this paper, we look at how hospital admission patterns, both to the medical ward and the intensive care unit (ICU), may have differed by race, ethnicity, and social determinants of health. We conducted a retrospective chart review of all patients who presented to the Emergency Department of a large quaternary hospital between March 8 and June 3, 2020. We built logistic regression models to analyze how race, ethnicity, area deprivation index, English as a primary language, homelessness, and illicit substance use impacted the likelihood of admission while controlling for disease severity and timing of admission in relation to the start of data collection. We had 1302 recorded Emergency Department visits of patients diagnosed with SARS-CoV-2. White, Hispanic, and African American patients made up 39.2%, 37.5%, and 10.4% of the population respectively. Primary language was recorded as English for 41.2% and non-English for 30% of patients. Among the social determinants of health assessed, we found that illicit drug use significantly increased the likelihood for admission to the medical ward (odds ratio 4.4, confidence interval 1.1-17.1, P = .04), and that having a language other than English as a primary language significantly increased the likelihood of ICU admission (odds ratio 2.6, confidence interval 1.2-5.7, P = .02). Illicit drug use was associated with an increased likelihood of medical ward admission, potentially due to clinician concerns for complicated withdrawal or blood-stream infections from intravenous drug use. The increased likelihood of ICU admission associated with a primary language other than English may have been driven by communication difficulties or differences in disease severity that our model did not detect. Further work is required to better understand drivers of disparities in hospital COVID-19 care.

Discharge to post-acute care and other predictors of prolonged length of stay during the initial COVID-19 surge: a single site analysis.

BACKGROUND: During the initial surge of coronavirus disease 2019 (COVID-19), health-care utilization fluctuated dramatically, straining acute hospital capacity across the USA and potentially contributing to excess mortality. METHODS: This was an observational retrospective study of patients with COVID-19 admitted to a large US urban academic medical center during a 12-week COVID-19 surge in the Spring of 2020. We describe patterns in length of stay (LOS) over time. Our outcome of interest was prolonged LOS (PLOS), which we defined as 7 or more days. We performed univariate analyses of patient characteristics, clinical outcomes and discharge disposition to evaluate the association of each variable with PLOS and developed a final multivariate model via backward elimination, wherein all variables with a P-value above 0.05 were eliminated in a stepwise fashion. RESULTS: The cohort included 1366 patients, of whom 13% died and 29% were readmitted within 30 days. The LOS (mean: 12.6) fell over time (P < 0.0001). Predictors of PLOS included discharge to a post-acute care (PAC) facility (odds ratio [OR]: 11.9, 95% confidence interval [CI] 2.6-54.0), uninsured status (OR 3.2, CI 1.1-9.1) and requiring intensive care and intubation (OR 18.4, CI 11.5-29.6). Patients had a higher readmission rate if discharged to PAC facilities (40%) or home with home health agency (HHA) services (38%) as compared to patients discharged home without HHA services (26%) (P < 0.0001). CONCLUSION: Patients hospitalized with COVID-19 during a US COVID-19 surge had a PLOS and high readmission rate. Lack of insurance, an intensive care unit stay and a decision to discharge to a PAC facility were associated with a PLOS. Efforts to decrease LOS and optimize hospital capacity during COVID-19 surges may benefit from focusing on increasing PAC and HHA capacity and resources.

Impact of Hurricanes and Associated Extreme Weather Events on Cardiovascular Health: A Scoping Review.

BACKGROUND: The frequency and destructiveness of hurricanes and related extreme weather events (e.g., cyclones, severe storms) have been increasing due to climate change. A growing body of evidence suggests that victims of hurricanes have increased incidence of cardiovascular disease (CVD), likely due to increased stressors around time of the hurricane and in their aftermath. OBJECTIVES: The objective was to systematically examine the evidence of the association between hurricanes (and related extreme weather events) and adverse CVD outcomes with the goal of understanding the gaps in the literature. METHODS: A comprehensive literature search of population-level and cohort studies focused on CVD outcomes (i.e., myocardial infarction, stroke, and heart failure) related to hurricanes, cyclones, and severe storms was performed in the following databases from inception to December 2021: Ovid MEDLINE, Ovid EMBASE, Web of Science, and The Cochrane Library. Studies retrieved were then screened for eligibility against predefined inclusion/exclusion criteria. Studies were then qualitatively synthesized based on the time frame of the CVD outcomes studied and special populations that were studied. Gaps in the literature were identified based on this synthesis. RESULTS: Of the 1,103 citations identified, 48 met our overall inclusion criteria. We identified articles describing the relationship between CVD and extreme weather, primarily hurricanes, based on data from the United States (42), Taiwan (3), Japan (2), and France (1). Outcomes included CVD and myocardial infarction-related hospitalizations (30 studies) and CVVD-related mortality (7 studies). Most studies used a retrospective study design, including one case-control study, 39 cohort studies, and 4 time-series studies. DISCUSSION: Although we identified a number of papers that reported evaluations of extreme weather events and short-term adverse CVD outcomes, there were important gaps in the literature. These gaps included a) a lack of rigorous long-term evaluation of hurricane exposure, b) lack of investigation of hurricane exposure on vulnerable populations regarding issues related to environmental justice, c) absence of research on the exposure of multiple hurricanes on populations, and d) absence of an exploration of mechanisms leading to worsened CVD outcomes. Future research should attempt to fill these gaps, thus providing an important evidence base for future disaster-related policy. https://doi.org/10.1289/EHP11252.

Costs and cost-effectiveness of HIV early infant diagnosis in low- and middle-income countries: a scoping review.

BACKGROUND: Continuing progress in the global pediatric human immunodeficiency virus (HIV) response depends on timely identification and care of infants with HIV. As countries scale-out improvements to HIV early infant diagnosis (EID), economic evaluations are needed to inform program design and implementation. This scoping review aimed to summarize the available evidence and discuss practical implications of cost and cost-effectiveness analyses of HIV EID. METHODS: We systematically searched bibliographic databases (Embase, MEDLINE and EconLit) and grey literature for economic analyses of HIV EID in low- and middle-income countries published between January 2008 and June 2021. We extracted data on unit costs, cost savings, and incremental cost-effectiveness ratios as well as outcomes related to health and the HIV EID care process and summarized results in narrative and tabular formats. We converted unit costs to 2021 USD for easier comparison of costs across studies. RESULTS: After title and abstract screening of 1278 records and full-text review of 99 records, we included 29 studies: 17 cost analyses and 12 model-based cost-effectiveness analyses. Unit costs were 21.46-51.80 USD for point-of-care EID tests and 16.21-42.73 USD for laboratory-based EID tests. All cost-effectiveness analyses stated at least one of the interventions evaluated to be cost-effective. Most studies reported costs of EID testing strategies; however, few studies assessed the same intervention or reported costs in the same way, making comparison of costs across studies challenging. Limited data availability of context-appropriate costs and outcomes of children with HIV as well as structural heterogeneity of cost-effectiveness modelling studies limits generalizability of economic analyses of HIV EID. CONCLUSIONS: The available cost and cost-effectiveness evidence for EID of HIV, while not directly comparable across studies, covers a broad range of interventions and suggests most interventions designed to improve EID are cost-effective or cost-saving. Further studies capturing costs and benefits of EID services as they are delivered in real-world settings are needed.

The Effect of Standardized Hospitalist Information Cards on the Patient Experience: a Quasi-Experimental Prospective Cohort Study.

BACKGROUND: Communication with clinicians is an important component of a hospitalized patient's experience. OBJECTIVE: To test the impact of standardized hospitalist information cards on the patient experience. DESIGN: Quasi-experimental study in a U.S. tertiary-care center. PARTICIPANTS: All-comer medicine inpatients. INTERVENTIONS: Standardized hospitalist information cards containing name and information on a hospitalist's role and availability vs. usual care. MAIN MEASURES: Patients' rating of the overall communication as excellent ("top-box" score); qualitative feedback summarized via inductive coding. KEY RESULTS: Five hundred sixty-six surveys from 418 patients were collected for analysis. In a multivariate regression model, standardized hospitalist information cards significantly improved the odds of a "top-box" score on overall communication (odds ratio: 2.32; 95% confidence intervals: 1.07-5.06). Other statistically significant covariates were patient age (0.98, 0.97-0.99), hospitalist role (physician vs. advanced practice provider, 0.56; 0.38-0.81), and hospitalist-patient gender combination (female-female vs. male-male, 2.14; 1.35-3.40). Eighty-seven percent of patients found the standardized hospitalist information cards useful, the perceived most useful information being how to contact the hospitalist and knowing their schedule. CONCLUSIONS: Hospitalized patients' experience of their communication with hospitalists may be improved by using standardized hospitalist information cards. Younger patients cared for by a team with an advanced practice provider, as well as female patients paired with female providers, were more likely to be satisfied with the overall communication. Assessing the impact of information cards should be studied in other settings to confirm generalizability.

IN.PACT AV Access Trial: Economic Evaluation of Drug-Coated Balloon Treatment for Dysfunctional Arteriovenous Fistulae Based on 12-Month Clinical Outcomes.

PURPOSE: To study, from a U.S. payer's perspective, the economic consequences of drug-coated balloon (DCB) versus standard percutaneous transluminal angioplasty (PTA) use for the treatment of stenotic lesions in dysfunctional hemodialysis arteriovenous fistulae. MATERIALS AND METHODS: Cost differences between DCBs and PTA at year 1 and beyond were calculated via 2 methods. The first approach used the mean absolute number of trial-observed access circuit reinterventions through 12 months (0.65 ± 1.05 vs 1.05 ± 1.18 events per patient for DCBs and PTA, respectively) and projected treatment outcomes to 3 years. The second approach was based on the trial-observed access circuit primary patency rates at 12 months (53.8% vs 32.4%) and calculated the cost difference on the basis of previously published Medicare cost for patients who maintained or did not maintain primary patency. Assumptions regarding DCB device prices were tested in sensitivity analyses, and the numbers needed to treat were calculated. RESULTS: Using the absolute number of access circuit reinterventions approach, the DCB strategy resulted in an estimated per-patient savings of $1,632 at 1 year and $4,263 at 3 years before considering the DCB device cost. The access circuit primary patency approach was associated with a per-patient cost savings of $2,152 at 1 year and $3,894 at 2.5 years of follow-up. At the theoretical DCB device reimbursement of $1,800, savings were $1,680 and $2,049 at 2.5 and 3 years, respectively. The one-year NNT of DCB compared to PTA was 2.48. CONCLUSIONS: Endovascular therapy for arteriovenous access stenosis with the IN.PACT AV DCB can be expected to be cost-saving if longer follow-up data confirm its clinical effectiveness.

Cost-Effectiveness of Urea Excipient-Based Drug-Coated Balloons for Chronic Limb-Threatening Ischemia from Femoropopliteal Disease in the Netherlands and Germany.

PURPOSE: Drug-coated balloons (DCBs) for femoropopliteal peripheral artery disease have been shown to be clinically superior and cost-effective compared to conventional percutaneous transluminal angioplasty (PTA). However, few studies enrolled patients with chronic limb-threatening ischemia (CLTI). Our objective was to study the cost-effectiveness of endovascular treatment with versus without DCB in CLTI patient populations in the Netherlands and Germany. MATERIAL AND METHODS: Target lesion revascularization (TLR) and major amputation rates were obtained from the CLTI subgroup of the IN.PACT Global study. Rates for "status quo" treatment involving PTA with primary or bailout stenting were derived from systematic literature search. Costs and cost-effectiveness were calculated using a decision-analytic Markov model considering, in the base case, a 2-year horizon, and strategy-specific quality-adjusted life year (QALY) gains calculated from survival and health state-specific utilities. A willingness-to-pay threshold of €50,000/QALY was assumed, and extensive sensitivity analyses were performed. RESULTS: Model-projected 24-month probabilities of TLR were 26.2% and 32.8% for treatment with and without DCB, and probabilities for amputation were 2.8% and 11.9%, respectively. DCB added 0.017 QALYs while saving €1,030 in the Dutch setting and €513 in the German setting, respectively. DCB was found dominant or cost-effective across a wide range of assumptions. CONCLUSION: Urea excipient drug-coated balloon therapy for treating CLTI from femoropopliteal artery disease is associated with improved patient outcomes and expected overall cost savings to payers in the Dutch and German healthcare systems, rendering it a cost-effective and likely dominant treatment strategy.

Principles of Economic Evaluation in a Pandemic Setting: An Expert Panel Discussion on Value Assessment During the Coronavirus Disease 2019 Pandemic.

As the coronavirus disease 2019 (COVID-19) pandemic continues to generate significant morbidity and mortality as well as economic and societal impacts, the landscape of potential treatments has slowly begun to broaden. In the case of a novel disease with widespread consequences, society is more likely to place significant value on interventions that reduce the outsized economic burden of COVID-19. Treatments for severe disease will have a different value profile to that of large-scale vaccines because of their application in targeted and potentially small subsets of those with symptomatic disease vs broad deployment as a preventative measure. Where vaccines reduce transmissibility of COVID-19, use of therapeutics will target symptoms, up to and including death for infected individuals. This paper describes discussions from a virtual expert panel that met to attempt a consensus on how existing principles of economic evaluation should be applied to therapeutics that emerge in a pandemic setting, with specific focus on severe hospitalised cases of COVID-19. The panel concluded that the core principles of economic evaluation do not need to be drastically overhauled to meet the challenges of a pandemic, but that there are several additional elements of value such as equity, disease severity, insurance value, and scientific and family spillover effects that should be considered when presenting results to decision makers. The panel also highlighted the persistent challenges on how society should value novel therapies, such as the appropriate cost-effectiveness threshold to apply, which are particularly salient during a pandemic.

Repurposing existing medications for coronavirus disease 2019: protocol for a rapid and living systematic review.

BACKGROUND: Coronavirus disease 2019 (COVID-19) has no confirmed specific treatments. However, there might be in vitro and early clinical data as well as evidence from severe acute respiratory syndrome and Middle Eastern respiratory syndrome that could inform clinicians and researchers. This systematic review aims to create priorities for future research of drugs repurposed for COVID-19. METHODS: This systematic review will include in vitro, animal, and clinical studies evaluating the efficacy of a list of 34 specific compounds and 4 groups of drugs identified in a previous scoping review. Studies will be identified both from traditional literature databases and pre-print servers. Outcomes assessed will include time to clinical improvement, time to viral clearance, mortality, length of hospital stay, and proportions transferred to the intensive care unit and intubated, respectively. We will use the GRADE methodology to assess the quality of the evidence. DISCUSSION: The challenge posed by COVID-19 requires not just a rapid review of drugs that can be repurposed but also a sustained effort to integrate new evidence into a living systematic review. TRIAL REGISTRATION: PROSPERO 2020 CRD42020175648.

Blood pressure control in Australian general practice: analysis using general practice records of 1.2 million patients from the MedicineInsight database.

INTRODUCTION: Hypertension is mostly managed in primary care. This study investigated the prevalence of diagnosed hypertension in Australian general practice and whether hypertension control is influenced by sociodemographic characteristics, duration since diagnosis or prescription of antihypertensive medications. METHODS: Cross-sectional study using a large national database of electronic medical records of patients attending general practice in 2017 (MedicineInsight). RESULTS: Of 1.2 million 'regular' patients (one or more consultations per year in every year from 2015 to 2017), 39.8% had a diagnosis of hypertension (95% confidence interval 38.7-40.9). Of these, 85.3% had their blood pressure (BP) recorded in 2017, and 54.9% (95% confidence interval 54.2-55.5) had controlled hypertension (<140/90 mmHg). BP control was lower in females (54.1%) compared with males (55.7%) and in the oldest age group (52.0%), with no differences by socioeconomic status. Hypertension control was lower among 'regular' patients recently diagnosed (6-12 months = 48.6% controlled) relative to those more than 12 months since diagnosis (1-2 years = 53.6%; 3-5 years 55.5%; >5 years = 55.0%). Among recently diagnosed 'regular' patients, 59.2% had no record of being prescribed antihypertensive therapy in the last 6 months of the study, of which 44.3% had controlled hypertension. For those diagnosed more than 5 years ago, 37.4% had no record of being prescribed antihypertensive patients, and 56% had normal BP levels. CONCLUSION: Although the prevalence of hypertension varied by socidemographics, there were no differences in BP assessment or control by socioeconomic status. Hypertension control remains a challenge in primary care, and electronic medical records provide an opportunity to assess hypertension management.

Racial/ethnic and socioeconomic variations in hospital length of stay: A state-based analysis.

ABSTRACT: Disparities by race/ethnicity and socioeconomic status (SES) exist in rehospitalization rates and inpatient mortality rates. Few studies have examined how length of stay (LOS, a measure of hospital efficiency/quality) differs by race/ethnicity and SES.This study's objective was to determine whether differences in risk-adjusted LOS exist by race/ethnicity and SESUsing a retrospective cohort of 1,432,683 medical and surgical discharges, we compared risk-adjusted LOS, in days, by race/ ethnicity and SES (median household income by patient ZIP code in quartiles), using generalized linear models controlling for demographic and clinical factors, and differences between hospitals and between diagnoses.White patients were on average older than both Black and Hispanic patients, had more chronic conditions, and had a higher inpatient mortality risk. In adjusted analyses, Black patients had a significantly longer LOS than White patients (0.25-day difference when discharged to home and 0.23-day difference when discharged to non-home destinations, both P<.001); there was no difference between Hispanic and White patients. Wealthier patients had a shorter LOS than poorer patients (0.16-day difference when discharged to home and 0.06-day difference when discharged to nonhome destinations, both P<.001). These differences by race/ethnicity reversed for Medicaid patients.Disparities in LOS exist based on a patient's race/ethnicity and SES. Black and poorer patients, but not Hispanic patients, have longer LOS compared to White and wealthier patients. In aggregate, these differences may be related to trust and implicit bias and have implications for use of LOS as a quality metric. Future research should examine the drivers of these disparities.