Real-world Population Research Articles

TCT-678 Long-Term Follow-up From the Use of Sirolimus Coated Balloons in De Novo Coronary lesions in a Real-World Population From 3 High-Volume European Centers

TCT-678 Long-Term Follow-up From the Use of Sirolimus Coated Balloons in De Novo Coronary lesions in a Real-World Population From 3 High-Volume European Centers

TCT-533 Long-Term Clopidogrel Monotherapy Versus Aspirin Monotherapy in Real-world Nationwide Population Undergoing Percutaneous Coronary Intervention with Drug-Eluting Stents: Efficacy and Safety Comparison

TCT-533 Long-Term Clopidogrel Monotherapy Versus Aspirin Monotherapy in Real-world Nationwide Population Undergoing Percutaneous Coronary Intervention with Drug-Eluting Stents: Efficacy and Safety Comparison

S1015 Prevalence of Bowel Urgency and Its Associations With Quality of Life in a Real-World Ulcerative Colitis Population: Results From the Measuring Urgency Symptoms in Inflammatory Bowel Disease Collaboration (MUSIC) Study

S1015 Prevalence of Bowel Urgency and Its Associations With Quality of Life in a Real-World Ulcerative Colitis Population: Results From the Measuring Urgency Symptoms in Inflammatory Bowel Disease Collaboration (MUSIC) Study

TCT-561 5-Year Outcome Following Intravascular Lithotripsy for Coronary Artery Calcification in a High-Risk Real-World Population

TCT-561 5-Year Outcome Following Intravascular Lithotripsy for Coronary Artery Calcification in a High-Risk Real-World Population

A user-friendly guide to using distance measures to compare time series in ecology.

Time series are a critical component of ecological analysis, used to track changes in biotic and abiotic variables. Information can be extracted from the properties of time series for tasks such as classification (e.g., assigning species to individual bird calls); clustering (e.g., clustering similar responses in population dynamics to abrupt changes in the environment or management interventions); prediction (e.g., accuracy of model predictions to original time series data); and anomaly detection (e.g., detecting possible catastrophic events from population time series). These common tasks in ecological research all rely on the notion of (dis-) similarity, which can be determined using distance measures. A plethora of distance measures have been described, predominantly in the computer and information sciences, but many have not been introduced to ecologists. Furthermore, little is known about how to select appropriate distance measures for time-series-related tasks. Therefore, many potential applications remain unexplored. Here, we describe 16 properties of distance measures that are likely to be of importance to a variety of ecological questions involving time series. We then test 42 distance measures for each property and use the results to develop an objective method to select appropriate distance measures for any task and ecological dataset. We demonstrate our selection method by applying it to a set of real-world data on breeding bird populations in the UK and discuss other potential applications for distance measures, along with associated technical issues common in ecology. Our real-world population trends exhibit a common challenge for time series comparisons: a high level of stochasticity. We demonstrate two different ways of overcoming this challenge, first by selecting distance measures with properties that make them well suited to comparing noisy time series and second by applying a smoothing algorithm before selecting appropriate distance measures. In both cases, the distance measures chosen through our selection method are not only fit-for-purpose but are consistent in their rankings of the population trends. The results of our study should lead to an improved understanding of, and greater scope for, the use of distance measures for comparing ecological time series and help us answer new ecological questions.

Individual Patient Data Analysis of 17 Randomized Trials vs. Real-World Data for Men with Localized Prostate Cancer Receiving Radiotherapy.

Prior work has demonstrated poor correlation between the results of randomized controlled trials (RCTs) and real-world evidence (RWD). However, patients enrolled in RCTs are often considered to poorly represent the real-world population. Herein, we utilize multiple large data repositories to determine differences in baseline characteristics and long-term outcomes between patients enrolled in RCTs and RWD that received radiotherapy for localized prostate cancer. Meta-Analysis of Randomized trials in Cancer of the Prostate (MARCAP) Consortium was leveraged, and 17 phase III randomized trials were included. RWD were accessed through the Staging Collaboration for Cancer of the Prostate (STAR-CAP) cohort, a cohort that is comprised of >60 centers across the United States and Europe. Additionally, RWD was assessed via the Surveillance, Epidemiology, and End Results (SEER) database. MARCAP and STAR-CAP both contain outcomes for distant metastasis (DM), metastasis-free survival (MFS), prostate cancer-specific mortality (PCSM), and overall survival (OS). SEER only contains PCSM and OS. Wilcoxon signed-rank test and chi-square test were used to compare continuous and categorical variables, respectively. Inverse probability of treatment weighting (IPTW) analysis was conducted, balancing for age, PSA, Gleason score, T stage, and treatment year in the three cohorts. Cox and Fine-Gray regression models were used to compare disease outcomes between RCTs vs. RWD. Data from 10,666 patients from RCTs, 6,530 patients in STAR-CAP, and 117,586 patients in SEER were included. SEER patients were slightly younger (p<0.001, median age 68 (IQR 62-73) than those in RCTs (70, IQR 65-74) and in STAR-CAP (70, IQR 64-74). 10-year OS in RCTs was 65.4%, STAR-CAP 70.2%, SEER 64.1%. OS was superior in STAR-CAP (RCTs as reference; HR 0.91, 95% CI 0.85-0.96, p<0.0001), but there was no significant difference between SEER and RCTs (HR 0.96, 95% CI 0.91-1.02, p = 0.22). 10-year PCSM cumulative incidence was 7.4% in RCTs, 8.1% in STAR-CAP, and 11.0% in SEER. There was no significant difference in PCSM between STAR-CAP RWD and RCTs (HR 0.88, 95% CI 0.78-1.01, p = 0.08), whereas PCSM was worse in SEER than RCTs (HR 1.37, 95% CI 1.21-1.55, p<0.0001). There was no significant difference in DM between STAR-CAP RWD and RCTs (HR 0.93, 95% CI 0.83-1.04, p = 0.2). While baseline differences exist in patients enrolled on localized prostate cancer RCTs and real-world datasets, there were small if any significant relative differences in oncologic outcomes. This provides reassurance that RCT results are generally applicable to patients in routine practice.

TCT-560 3-Year Outcome Following Intravascular Lithotripsy Treatment for Coronary Artery Calcification in a High-Risk Real-World Population

TCT-560 3-Year Outcome Following Intravascular Lithotripsy Treatment for Coronary Artery Calcification in a High-Risk Real-World Population

Comorbidities were associated with cancer clinical trial discussion and participation: findings from the Health Information National Trends Survey–Surveillance, Epidemiology, and End Results Program (2021)

ObjectivesOncology clinical trials are recommended to better reflect real-world cancer patient populations and to increase patient access to new treatments in trials. The influence of comorbidities on trial participation is unclear. This study examined the association of having comorbidities and patients’ experiences with clinical trial discussion or actual participation. Study Design and SettingWe included 958 cancer survivors from Health Information National Trends Survey–Surveillance, Epidemiology, and End Results Program. Trial discussion was defined as whether their medical team discussed cancer clinical trials, and trial participation was defined as whether they participated. Comorbidities included diabetes, hypertension, heart condition, chronic lung disease, and depression/anxiety disorder. Design-based logistic regression results were conducted. ResultsSeventy-five percent of patients had one or more comorbidities, commonly having hypertension (56%) and diabetes (26%). Only 15% of participants reported trial discussion and 8% reported trial participation. Having one or more comorbidities was significantly associated with lower rates of trial discussion in univariate analysis (22.9% vs. 12.1%, odds ratio = 0.46, P = 0.001), and such association was pertained in adjusted logistic regression (20.5% vs. 12.8%, adjusted odds ratio = 0.54, P = 0.02). ConclusionFindings suggest patients with comorbidities were underrepresented in cancer clinical trials, implying a potential lack of representativeness among trial participants.

Pulmonary lymphangitis carcinomatosis: A peculiar presentation clustering in MET-amplified gastric cancer.

The clinicopathological features of MET-amplified gastric cancer (GC) and real-world data on the efficacy of MET-targeted therapies remain unknown. Pulmonary lymphangitis carcinomatosis (PLC) is a peculiar manifestation of GC, whose management has not been thoroughly described. This study analyzed patients diagnosed with MET-amplified GC or GC with PLC at any time point of the disease course from 2011 to 2021 in two centers. Clinicopathological features and survival outcomes of MET-amplified GC were analyzed. The clinical and molecular implications of GC with PLC were discussed. Fifty-eight patients with MET-amplified GC and 20 patients with GC accompanied by PLC were finally enrolled for analysis (including 13 overlapped patients). GC with PLC was more common in female patients (p = 0.010), diagnosed at a younger age (p = 0.002), presented with a higher baseline ECOG PS (p = 0.016), and was more likely to develop lung metastasis (p < 0.001), and serous effusion (p = 0.026) than GC without PLC. Patients with primary MET-amplified GC had a worse prognosis than those with secondary MET-amplified GC (p = 0.005). The application of anti-MET therapy was associated with numerically prolonged survival, but the association was not statistically significant (p = 0.07). MET amplification was concentrated in patients with PLC, in which anti-MET therapies elicited a high response rate. MET-targeted therapies are efficacious in real-world populations with MET-amplified GC. Patients with PLC have distinct clinical and molecular features and might benefit from MET-targeted therapies.

Real-world data emulating randomized controlled trials of non-vitamin K antagonist oral anticoagulants in patients with venous thromboembolism

BackgroundEmulating randomized controlled trials (RCTs) by real-world evidence (RWE) studies would benefit future clinical and regulatory decision-making by balancing the limitations of RCT. We aimed to evaluate whether the findings from RWE studies can support regulatory decisions derived from RCTs of non-vitamin K antagonist oral anticoagulants (NOACs) in patients with venous thromboembolism (VTE).MethodsFive landmark trials (AMPLIFY, RE-COVER II, Hokusai-VTE, EINSTEIN-DVT, and EINSTEIN-PE) of NOACs were emulated using the South Korean nationwide claims database (January 2012 to August 2020). We applied an active comparator and new-user design to include patients who initiated oral anticoagulants within 28 days from their VTE diagnoses. The prespecified eligibility criteria, exposure (each NOAC, such as apixaban, rivaroxaban, dabigatran, and edoxaban), comparator (conventional therapy, defined as subcutaneous heparin followed by warfarin), and the definition of outcomes from RCTs were emulated as closely as possible in each separate emulation cohort. The primary outcome was identical to each trial, which was defined as recurrent VTE or VTE-related death. The safety outcome was major bleeding. Propensity score matching was conducted to balance 69 covariates between the exposure groups. Effect estimates for outcomes were estimated using the Mantel–Haenszel method and Cox proportional hazards model and subsequently compared with the corresponding RCT estimates.ResultsCompared to trial populations, real-world study populations were older (range: 63–69 years [RWE] vs. 54–59 years [RCT]), with more females (55–60.5% vs. 39–48.3%) and had a higher prevalence of active cancer (4.2–15.4% vs. 2.5–9.5%). The emulated estimates for effectiveness outcomes showed superior effectiveness of NOAC (AMPLIFY: relative risk 0.81, 95% confidence interval 0.70–0.94; RE-COVER II: hazard ratio [HR] 0.60, 0.37–0.96; Hokusai-VTE: 0.49, 0.31–0.78; EINSTEIN-DVT: 0.54, 0.33–0.89; EINSTEIN-PE: 0.50, 0.34–0.74), when contrasted with trials that showed non-inferiority. For safety outcomes, all emulations except for AMPLIFY and EINSTEIN-DVT yielded results consistent with their corresponding RCTs.ConclusionsThis study revealed the feasibility of complementing RCTs with RWE studies by using claims data in patients with VTE. Future studies to consider the different demographic characteristics between RCT and RWE populations are needed.

The Long-Term Benefit of Sacubitril/Valsartan in Patients with HFrEF: A 5-Year Follow-Up Study in a Real World Population.

to evaluate the effect of S/V in a follow-up period of 5 years from the beginning of the therapy. We compared the one-year outcomes of S/V use with those obtained after 5 years of therapy, monitoring the long-term effects in a real-world population with HFrEF. Seventy consecutive patients with HFrEF and eligible for ARNI, according to PARADIGM-HF criteria, were enrolled. All patients had an overall follow-up of 60 months, during which time they underwent standard transthoracic echocardiography (TTE) with Global Longitudinal Strain (GLS) evaluation, the Kansas City Cardiomyopathy Questionnaire (KCCQ), the Six Minutes Walking Test (6MWT), and blood tests (NT-pro-BNP and BNP, renal function tests). NTproBNP values were reduced significantly among the three time-points (p < 0.001). Among echocardiographic parameters, left ventricle end-diastolic volume (LV EDV) and E/e' significantly were reduced at the first evaluation (12 months), while left ventricle end-systolic volume (LV ESV) decreased during all follow-ups (p < 0.001). LV EF (p < 0.001) and GLS (p < 0.001) significantly increased at both evaluations. The 6MWT (p < 0.001) and KCCQ scores (p < 0.001) increased significantly in the first 12 months and remained stable along the other time-points. NYHA class showed an increase in class 1 subjects and a decrease in class 3 subjects during follow-up. NTproBNP, BNP, 6MWT, and KCCQ scores showed a significant change in the first 12 months, while LVEF, GLS, and ESV changed during all evaluations. We verified that the improvements obtained after one year of therapy had not reached a plateau phase but continued to improve and were statistically significant at 5 years. Although our data should be confirmed in larger and multicentre studies, we can state that the utilization of Sacubitril/Valsartan has catalysed substantial transformations in the prognostic landscape of chronic HFrEF, yielding profound clinical implications.

Cardiovascular Insights for the Appropriate Management of Chronic Venous Disease: A Narrative Review of Implications for the Use of Venoactive Drugs.

Evidence suggests that chronic venous disease (CVD) may be a cardiovascular disorder, as patients with CVD are prone to developing arterial (atherosclerosis) and venous (thromboembolism) diseases. This may be partly explained by shared risk factors. Thus, patients with CVD or cardiovascular disease require careful history-taking and physical assessment to identify coexisting pathologies and risk factors. This article summarises a symposium at the XIX World Congress of the International Union of Phlebology held in Istanbul, Turkey, in September 2022. Common pathophysiological features of CVD and cardiovascular disease are endothelial injury, hypercoagulability and systemic inflammation. In CVD, inflammation primarily affects the microcirculation, with changes in capillary permeability, vein wall and valve remodelling and increase in oxidative stress. Once patients develop symptoms/signs of CVD, they tend to reduce their physical activity, which may contribute to increased risk of cardiovascular disease. Data show that the presence of CVD is associated with an increased risk of cardiovascular disease, including peripheral arterial disease and heart failure (HF), and the risk of adverse cardiovascular events increases with CVD severity. In addition, patients with cardiovascular disease, particularly those with HF, are at increased risk of venous thromboembolism (VTE) and should be assessed for VTE risk if they are hospitalised with cardiovascular disease. Therefore, CVD management must include a multi-specialty approach to assess risk factors associated with both the venous and arterial systems. Ideally, treatment should focus on the resolution of endothelial inflammation to control both CVD and cardiovascular disease. International guidelines recommend various conservative treatments, including venoactive drugs (VADs), to improve the symptoms/signs of CVD. Micronized purified flavonoid fraction (MPFF) is a VAD, with high-quality evidence supporting its use in relieving symptoms/signs of CVD and improving quality of life. Moreover, in large-scale observational studies, MPFF has shown superior effectiveness in real-world populations compared with other VADs. Video Abstract. (MP4 97173 kb).

Considerations on implementation of the newest treatment for symptomatic uterine fibroids: Oral GnRH antagonists.

Novel gonadotrophin releasing hormone (GnRH) antagonist treatments have recently been developed in combination with hormonal add-back therapy, as an oral treatment option for women suffering from uterine fibroids. Registration trials assessing the GnRH antagonist combination preparations with relugolix, elagolix and linzagolix have assessed treatment efficacy for fibroid-related heavy menstrual blood loss in comparison to placebo. Marketing authorization has been granted by several agencies including those in Europe, the United Kingdom and the United States. While the registration trials report a robust effect on the reduction of heavy menstrual blood loss and improvement in quality of life scores, reticence is advised before widespread prescription. In this review, we demonstrate limitations in the trial data, namely a lack of generalizability due to the restricted study population, the lack of transparency in the distribution of disease-level characteristics limiting the predictability of treatment success in the real-world diverse population, and the absence of any comparison to current alternative treatment methods. Importantly, no clinically meaningful volume reductions were found with GnRH antagonist combination preparations, and long-term safety data, particularly concerning modest but stable bone mineral density decline, need further addressing. Symptoms related to uterine fibroids adversely affect many women's quality of life and effective medical treatments are lacking. However, despite the urgent need for conservative treatments, it is vitally important that novel drugs, like combination oral GnRH antagonists, undergo sufficiently rigorous evaluation of safety, effectiveness and cost-effectiveness in a representative population and are compared with alternative treatment methods before introduction into mainstream clinical practice.

A five-year observational prospective mono-center study of the efficacy of alemtuzumab in a real-world cohort of patients with multiple sclerosis.

Alemtuzumab (ALZ) is a pulsed immune reconstitution therapy for multiple sclerosis (MS). To assess basic characteristics, therapeutic effects, and prognostic biomarkers on clinical and imaging parameters of disease activity for relapsing-remitting MS (RRMS) patients selected for ALZ, in a real-world long-term setting. Fifty-one RRMS patients [female = 31; mean age 36 (standard deviation 7.1) years; median expanded disability status scale (EDSS) 2 (interquartile range (IQR) 1.5)] initiating ALZ treatment, were consecutively included. Patients were assessed at baseline and thereafter annually for 5 years with clinical measures, symbol digit modality test (SDMT), and magnetic resonance imaging (MRI). Concentrations of glial fibrillary acidic protein (GFAP), reflecting astrogliosis, and neurofilament light (NfL), reflecting axonal damage, were measured in cerebrospinal fluid (CSF) and serum samples collected at baseline and after 2 years in CSF, and annually in serum. Control subjects were symptomatic controls (SCs, n = 27), who were examined at baseline and after 5 years without evidence of neurological disease. While the mean annualized relapse rate was significantly reduced from baseline at each year of follow-up, disability was essentially maintained at a median EDSS of 1.5 and IQR between 1.13 and 2.25. New MRI activity was recorded in 26 patients (53%) over 5 years. The proportion of patients who achieved no evidence of disease activity (NEDA-3), 6-months confirmed disability worsening (CDW), and 6-months confirmed disability improvement (CDI) at 5 years were 33, 31, and 31%, respectively. The SDMT score was reduced for patients (p < 0.001), but unchanged for SCs. ALZ treatment did not change GFAP levels, whereas there was a significant decrease for RRMS patients in median CSF and serum NfL levels at follow-up [CSF month 24: 456 pg./mL (IQR 285.4) (p = 0.05); serum month 24: 6.7 pg/mL (IQR 4.7) (p < 0.01); serum month 60: 7.2 pg/mL (IQR 4.7) (p < 0.01)], compared to baseline [CSF: 1014 pg/mL (IQR 2832.5); serum 8.6 pg/mL (IQR 17.4)]. In this real-world mono-center population, we observed a progression-free survival of 69%, cumulative NEDA-3 of 33%, and reduced NfL levels, over a five-year follow-up. This confirms ALZ as an effective pulsed immune reconstitution therapy that significantly reduces neuro axonal loss, and therefore has the potential to reduce long-term neurological disability. ALZ did not appear to affect astrogliosis.

A quantitative systems pharmacology model for certolizumab pegol treatment in moderate-to-severe psoriasis.

Psoriasis is a chronic immune-mediated inflammatory systemic disease with skin manifestations characterized by erythematous, scaly, itchy and/or painful plaques resulting from hyperproliferation of keratinocytes. Certolizumab pegol [CZP], a PEGylated antigen binding fragment of a humanized monoclonal antibody against TNF-alpha, is approved for the treatment of moderate-to-severe plaque psoriasis. Patients with psoriasis present clinical and molecular variability, affecting response to treatment. Herein, we utilized an in silico approach to model the effects of CZP in a virtual population (vPop) with moderate-to-severe psoriasis. Our proof-of-concept study aims to assess the performance of our model in generating a vPop and defining CZP response variability based on patient profiles. We built a quantitative systems pharmacology (QSP) model of a clinical trial-like vPop with moderate-to-severe psoriasis treated with two dosing schemes of CZP (200 mg and 400 mg, both every two weeks for 16 weeks, starting with a loading dose of CZP 400 mg at weeks 0, 2, and 4). We applied different modelling approaches: (i) an algorithm to generate vPop according to reference population values and comorbidity frequencies in real-world populations; (ii) physiologically based pharmacokinetic (PBPK) models of CZP dosing schemes in each virtual patient; and (iii) systems biology-based models of the mechanism of action (MoA) of the drug. The combination of our different modelling approaches yielded a vPop distribution and a PBPK model that aligned with existing literature. Our systems biology and QSP models reproduced known biological and clinical activity, presenting outcomes correlating with clinical efficacy measures. We identified distinct clusters of virtual patients based on their psoriasis-related protein predicted activity when treated with CZP, which could help unravel differences in drug efficacy in diverse subpopulations. Moreover, our models revealed clusters of MoA solutions irrespective of the dosing regimen employed. Our study provided patient specific QSP models that reproduced clinical and molecular efficacy features, supporting the use of computational methods as modelling strategy to explore drug response variability. This might shed light on the differences in drug efficacy in diverse subpopulations, especially useful in complex diseases such as psoriasis, through the generation of mechanistically based hypotheses.

Detection of transthyretin amyloid cardiomyopathy by automated data extraction from electronic health records.

Transthyretin amyloid cardiomyopathy (ATTR-CM), a progressive and fatal cardiomyopathy, is frequently misdiagnosed or entails diagnostic delays, hindering patients from timely treatment. This study aimed to generate a systematic framework based on data from electronic health records (EHRs) to assess patients with ATTR-CM in a real-world population of heart failure (HF) patients. Predictive factors or combinations of predictive factors related to ATTR-CM in a European population were also assessed. Retrospective unstructured and semi-structured data from EHRs of patients from OLV Hospital Aalst, Belgium (2012-20), were processed using natural language processing (NLP) to generate an Observational Medical Outcomes Partnership Common Data Model database. NLP model performance was assessed on a random subset of EHRs by comparing algorithm outputs to a physician-generated standard (using precision, recall, and their harmonic mean, or F1-score). Of the 3127 HF patients, 103 potentially had ATTR-CM (age 78±9years; male 55%; ejection fraction of 48%±16). The mean diagnostic delay between HF and ATTR-CM diagnosis was 1.8years. Besides HF and cardiomyopathy-related phenotypes, the strongest cardiac predictor was atrial fibrillation (AF; 72% in ATTR-CM vs. 60% in non-ATTR-CM, P=0.02), whereas the strongest non-cardiac predictor was carpal tunnel syndrome (21% in ATTR-CM vs. 3% in non-ATTR-CM, P<0.001). The strongest combination predictor was AF, joint disorders, and HF with preserved ejection fraction (29% in ATTR-CM vs. 18% in non-ATTR-CM: odds ratio=2.03, 95% confidence interval=1.28-3.22). Not only well-known variables associated with ATTR-CM but also unique combinations of cardiac and non-cardiac phenotypes are able to predict ATTR-CM in a real-world HF population, aiding in early identification of ATTR-CM patients.

Maintaining Renin-Angiotensin-Aldosterone System Inhibitor Treatment with Patiromer in Hyperkalaemic Chronic Kidney Disease Patients: Comparison of a Propensity-Matched Real-World Population with AMETHYST-DN

Introduction: Guideline-directed renin-angiotensin-aldosterone system inhibitor (RAASi) therapy is rarely achieved in clinical settings, often due to hyperkalaemia. We assessed the potassium binder, patiromer, on continuation of RAASi therapy in hyperkalaemic patients with chronic kidney disease (CKD) and type 2 diabetes mellitus (T2DM) in the AMETHYST-DN trial, propensity score-matched to a real-world cohort not receiving patiromer (Salford Kidney Study). Methods: The phase 2, open-label AMETHYST-DN trial (NCT01371747) randomized 304 adults with CKD on RAASi, T2DM, hyperkalaemia (serum potassium [sK⁺] >5.0 mEq/L), and hypertension to receive patiromer, 8.4–33.6 g/day for 12 months. Patients underwent propensity score matching for systolic blood pressure (BP), heart failure status, and estimated glomerular filtration rate (eGFR), with 321 patients with CKD, T2DM, hyperkalaemia, and on RAASi from a prospective CKD cohort (Salford Kidney Study). Changes in RAASi utilization, sK⁺, BP, proteinuria, and eGFR during 12-month follow-up were assessed by Mann-Whitney U or χ² tests. Results: Matching produced 135:135 patients with no significant differences in age, sex, systolic BP, sK⁺, eGFR, or heart failure status, although differences in diastolic BP remained (p < 0.001). After 12 months, 100% of AMETHYST-DN patients receiving patiromer remained on RAASi therapy, whereas 38.5% of the Salford Kidney Cohort discontinued RAASi (p < 0.001); hyperkalaemia contributed in 16% of patients (42% of RAASi discontinuations). Significantly greater reductions in sK⁺ and BP, but not proteinuria or eGFR, were observed in AMETHYST-DN, compared with Salford Kidney Study patients (p < 0.05). Conclusions: These results demonstrate the benefit of patiromer for sK⁺ management to enable RAASi use while revealing beneficial effects on BP.

Characteristics and Predictors of Apparent Treatment-Resistant Hypertension in Real-World Populations Using Electronic Health Record-Based Data.

Apparent treatment-resistant hypertension (aTRH) is defined as uncontrolled blood pressure (BP) despite using ≥3 antihypertensive classes or controlled BP while using ≥4 antihypertensive classes. Patients with aTRH have a higher risk for adverse cardiovascular outcomes compared with patients with controlled hypertension (HTN). Although there have been prior reports on the prevalence, characteristics, and predictors of aTRH, these have been broadly derived from smaller datasets, randomized controlled trials, or closed healthcare systems. We extracted patients with HTN defined by ICD-9 and ICD-10 codes during 1/1/2015-12/31/2018, from 2 large electronic health record databases: the OneFlorida Data Trust (n = 223,384) and Research Action for Health Network (REACHnet) (n = 175,229). We applied our previously validated aTRH and stable controlled HTN computable phenotype algorithms and performed univariate and multivariate analyses to identify the prevalence, characteristics, and predictors of aTRH in these populations. The prevalence of aTRH among patients with HTN in OneFlorida (16.7%) and REACHnet (11.3%) was similar to prior reports. Both populations had a significantly higher proportion of Black patients with aTRH compared with those with stable controlled HTN. aTRH in both populations shared similar significant predictors, including Black race, diabetes, heart failure, chronic kidney disease, cardiomegaly, and higher body mass index. In both populations, aTRH was significantly associated with similar comorbidities, when compared with stable controlled HTN. In 2 large, diverse real-world populations, we observed similar comorbidities and predictors of aTRH as prior studies. In the future, these results may be used to improve healthcare professionals' understanding of aTRH predictors and associated comorbidities.

Clinical benefit of MKANDA SALAMA KIT in a real-world population with Postpartum Hemorrhage. A prospective observational study

Based on Tanzania administrative data and policy Implication report of 2018, revealed that Postpartum hemorrhage contributed to about 29% of all maternal deaths in Tanzania. MKANDA SALAMA KIT (MSK) is the new innovated technological device designed to stop Postpartum hemorrhage (PPH). To determine the effects of MSK on the clinical symptoms improvement, hemodynamic restoration, and bleeding stoppage in post- delivery mothers with PPH. The primary outcome was the composite of Postpartum hemorrhage maternal death and PPH rehospitalization within 42 days follow-up time; secondary outcomes were all causes of maternal death and the occurrence of rehospitalization for worsening PPH -data from 120 women with PPH aged from 13 to 39 years from December 2020 to May 2021 (6 months) at St. Francis referral hospital labor ward were included. Patients were grouped into mild PPH, moderate PPH, and severe PPH. A multinomial regression model was used to determine the associations between risk and outcomes using Statistical Package for Social Sciences software version 21.0". 23% had a previous history of PPH, 36% had maternal hypertension, 45% had anemia, and 12% had maternal diabetes. Mild PPH was 20%, moderate PPH was 37%, and severe PPH was 43%. MSK significantly improved clinical symptoms and signs of all PPH categories by 84%. A significant restoration to normal all hemodynamic parameters was observed to all patients by 79% MSK significantly stopped mild PPH by 100% within 10-20 minutes, while stopped moderate PPH by 70.3% within 10-20 minutes and stopped severe PPH by 63.5% within 10-20 minutes. There was no rehospitalization during follow-up time and no death was reported. MSK significantly improved clinical symptoms, hemodynamic parameters and stopped bleeding in PPH patients, timely application of MSK can significantly prevent PPH maternal death and PPH rehospitalization.

Baseline Characteristics and 3-Year Outcome of Nonvalvular Atrial Fibrillation Patients Treated with the Four Direct Oral Anticoagulants (DOACs)

Direct oral anticoagulants (DOACs) represent the cornerstone therapy for cardioembolic events prevention in patients with nonvalvular atrial fibrillation (NVAF). In practice, the choice of one DOAC over another is guided by the decision-making process of the physician, which considers specific patient and drug characteristics. This study aimed to evaluate the clinical features and long-term outcomes of a real-world population treated with DOACs, where the use of the 4 different DOACs is quite equal. We conducted a retrospective observational, single-center, multidisciplinary study enrolling consecutive NVAF patients treated with one of the 4 DOACs. From an initial number of 753 patients, we excluded 72 patients because of loss to follow-up, at the end we enrolled 681:174 (23%) treated with dabigatran, 175 (23%) with apixaban, 190 (25%) with rivaroxaban, and 214 (29%) with edoxaban. Patients treated with apixaban were significantly older, more women represented (p <0.001), and with a higher cardioembolic and bleeding risk (p <0.001). Dabigatran was preferred in patients with liver failure (p=0.008), whereas Apixaban and Edoxaban were chosen in chronic kidney disease (p=0.002). At 3-year follow-up, 20 patients (2.7%) experienced a systemic thromboembolic event without significant differences in the 4 DOACs. In the same period, an International Society of Thrombosis and Hemostasis classification major bleeding event occurred in 26 patients (3.6%), more statistically correlated to edoxaban (6.1%) (p=0.038). Thromboembolic events or major bleeding were higher in the edoxaban group (10%) compared with the others (p=0.014). In our single-center real-world experience, the choice of the DOAC for a patient with NVAF was tailored to specific clinical features and drug pharmacokinetics of the patient. As a result, a small number of adverse events were observed.