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In regenerative medicine, the isolation of mesenchymal stromal cells (MSCs) from the adipose tissue's stromal vascular fraction (SVF) is a critical area of study. Our review meticulously examines the isolation process of MSCs, starting with the extraction of adipose tissue. The choice of liposuction technique, anatomical site, and immediate processing are essential to maintain cell functionality. We delve into the intricacies of enzymatic digestion, emphasizing the fine-tuning of enzyme concentrations to maximize cell yield while preventing harm. The review then outlines the filtration and centrifugation techniques necessary for isolating a purified SVF, alongside cell viability assessments like flow cytometry, which are vital for confirming the efficacy of the isolated MSCs. We discuss the advantages and drawbacks of using autologous vs allogeneic SVF sources, touching upon immunocompatibility and logistical considerations, as well as the variability inherent in donor-derived cells. Anesthesia choices, the selection between hypodermic needles vs liposuction cannulas, and the role of adipose tissue lysers in achieving cellular dissociation are evaluated for their impact on SVF isolation. Centrifugation protocols are also analyzed for their part in ensuring the integrity of the SVF. The necessity for standardized MSC isolation protocols is highlighted, promoting reproducibility and successful clinical application. We encourage ongoing research to deepen the understanding of MSC biology and therapeutic action, aiming to further the field of regenerative medicine. The review concludes with a call for rigorous research, interdisciplinary collaboration, and strict adherence to ethical and regulatory standards to safeguard patient safety and optimize treatment outcomes with MSCs.

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Introduction: A polypill-based implementation strategy has been proposed to increase rates of guideline-directed medical therapy (GDMT) in patients with heart failure with reduced ejection fraction. This has the potential to improve mortality and morbidity in India and undertreated populations globally. Methods: We conducted a convergent parallel mixed methods study integrating quantitative data from stakeholder surveys using modified implementation science outcome measures and qualitative data from key informant in-depth interviews. Our objective was to explore physician, nurse, pharmacist, and patient perspectives on a HFrEF polypill implementation strategy in India from January 2021 to April 2021. Quantitative and qualitative data were integrated to develop an Implementation Research Logic Model. Results: Among 69 respondents to the stakeholder survey, there was moderate acceptability (mean [SD] 3.8 [1.0]), appropriateness (3.6 [1.0]), and feasibility (3.7 [1.0]) of HFrEF polypill implementation strategy. Participants in the key-informant in-depth interviews (n = 20) highlighted numerous relative advantages of the HFrEF polypill innovation including potential to simplify medication regimens and improve patient adherence. Key relative disadvantages elucidated, include concerns about side effects and interruption of multiple GDMT medications due to polypill discontinuation for side effects or hospitalizations. Based on this data, the proposed implementation strategies in the Implementation Research Logic Model include 1) HFrEF polypills, 2) HFrEF polypill initiation, titration, and maintenance protocols, and 3) HFrEF polypill laboratory monitoring protocols for safety which we postulate will lead to desired clinical and implementation outcomes through multiple mechanisms including increased medication adherence to a single pill. Conclusion: This study demonstrates that a HFrEF polypill-based implementation strategy is considered acceptable, feasible, and appropriate among healthcare providers in India. We identified contextually relevant determinants, strategies, mechanism, and outcomes outlined in an Implementation Research Logic Model to inform future research to improve heart failure care in South Asia.

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Study objective: The association of prior to admission guideline-directed medical therapy (GDMT) use in patients hospitalized with Heart Failure with Reduced Ejection Fraction (HFrEF, ejection fraction ≤40 %) and Coronavirus Disease 2019 (COVID-19) with in-hospital outcomes has not been well studied. Design/setting/participants/interventions/outcome measures: Using the American Heart Association's Get With The Guidelines Heart Failure Registry, we identified HFrEF patients presenting with acute decompensated heart failure (ADHF) and compared rates of GDMT prescription between those presenting prior to and during the pandemic. In a subgroup of patients with a concomitant COVID-19 diagnosis, we evaluated the association of prior to admission GDMT use with in-hospital mortality and severe COVID-19. Results: 23,899 patients were admitted with HFrEF during the pandemic (2/16/20-3/24/21) and 26,459 patients were admitted in the year prior (2/16/19-2/15/20). In this overall cohort, prior to admission ACEI/ARB/ARNI (45.6 % vs 48.1 %, p < 0.0001) and BB (56.9 % vs 62.4 %, p < 0.0001) use was lower among admitted HFrEF patients during the pandemic when compared to the year prior. Rates of ACEI/ARB/ARNI, MRA, and triple therapy (ACE/ARB/ARNI + BB + MRA) prescription at discharge were higher during the pandemic compared to the year prior. Among a subgroup of those with HFrEF and COVID-19 (n = 333), prior to admission GDMT use was not associated with in-hospital mortality or severe COVID-19. Conclusion: We found no association between prior to admission GDMT use and in-hospital mortality or severe COVID-19 among HFrEF patients admitted with ADHF and COVID-19. GDMT prescription at discharge for HFrEF patients overall has remained either similar or improved during the pandemic.

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The objective of our study was to evaluate the real-world effects of an aggressive, personalized protocol for guideline-directed medical therapy (GDMT) titration in patients with heart failure (HF) with reduced ejection fraction (HFrEF). We conducted a two-center retrospective cohort study. Patients with HFrEF who presented to a HF clinic from January 2020 to December 2022 were placed on a GDMT protocol. 180 patients were included in the study. Mean GDMT score significantly increased from 4.7 to 5.9 (p < 0.001) between initial and final visits. Mean left ventricular ejection fraction (LVEF) significantly increased from 28 % to 33 % (+5 %, p < 0.001). 27 (15.7 %) of the 172 patients with complete New York Heart Association (NYHA) classification data had improvement by at least 1 class, while 2 (1.2 %) patients had worsening NYHA classification. 140 (77.8 %) patients had no unplanned hospitalizations between visits. 21 (11.7 %) patients had an unplanned hospitalization for acute HF during the study period with a mean time from first clinic visit to hospitalization of 183 days (range: 13-821 days). 2 (1.1 %) patients were hospitalized due to GDMT-associated adverse drug events (i.e. hypotension, hyperkalemia). 7 (3.9 %) patients died during the study period, which was lower than the predicted 1-year death rate for our cohort (12.3 %) using the MAGGIC score. In conclusion, an aggressive, personalized protocol for GDMT titration in patients with HFrEF led to significant improvements in LVEF, NYHA classification, hospitalization, and mortality in a real-world setting. This protocol may help serve as a road map to lessen the gap between clinical knowledge and practice surrounding optimization of GDMT and move HFrEF patients toward a path to recovery.

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OBJECTIVES: Immature platelet fraction (IPF) for differentiating bacteremia has been explored, whereas its prognostic correlation remains uncertain. This study aims to confirm the predictive capability of IPF for bacteremia and investigate its association with prognosis. METHODS: Patients with complete blood count (CBC) on the blood culture day (D1) and the preceding day (D0) were retrospectively recruited and categorized into bacteremia and nonbacteremia groups. Immature platelet (IP) analysis, alongside CBC, was conducted. Delta IPF, defined by the absolute values of D1 minus D0 results was calculated. The ability to distinguish bacteremia from nonbacteremia patients, and the correlation with mortality were analyzed. RESULTS: From February to December 2020, a total of 150 patients were enrolled, with 75 having bacteremia. The specificity for delta IPF ≥3.4% to predict bacteremia was 97.3% (95% confidence interval [CI]: 90.7-99.7). When delta IPF ≥3.4% combined with procalcitonin ≥0.5 (ng/mL), the sensitivity was 90.5% (95% CI: 69.6%-98.8%). Within the bacteremia group, delta IPF and the proportion of patients with delta IPF ≥1.5% were significantly higher in nonsurvival, while delta platelet levels did not. Furthermore, delta IPF ≥1.5% was independently associated with 30-day mortality (adjusted odds ratio: 3.88, 95% CI: 1.2%-11.4%; p = 0.020). The 30-day survival curve demonstrated a significant difference between patients with delta IPF ≥1.5% and those without (p < 0.001). CONCLUSIONS: Delta IPF correlates with mortality in bacteremia patients. Our findings suggest IPF not only helps detect bacteremia but also predicts prognosis in the early stage.

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Hematopoietic stem cell transplantation (HSCT) is pivotal in treating hematologic disorders, yet it poses the risk of post-transplantation pancytopenia. Prophylactic platelet transfusions are often administered to mitigate this risk. Utilizing practical markers, such as immature platelet fraction (IPF), to predict hematopoietic recovery in advance could reduce unnecessary prophylactic transfusions. Our prospective study, involving 53 HSCT patients at Taipei Veterans General Hospital between September 2022 and May 2023, utilized the Sysmex XN analyzer to assess peripheral blood cell parameters. We investigated whether IPF could predict platelet recovery early, determined the optimal cut-off value, and compared platelet usage. Neutrophil and platelet engraftment occurred 10 (median; range: 10-12) and 15 (median; range: 15-18) days post-HSCT. Notably, 71.7% of patients exhibited an IPF increase exceeding 2% before platelet recovery. The optimal cut-off IPF on day 10 for predicting platelet recovery within five days was 2.15% (specificity 0.89, sensitivity 0.65). On average, patients received 3.89 units of post-transplantation platelet transfusion. Our results indicate that IPF serves as a predictive marker for platelet engraftment, peaking before the increase in platelet count. This insight aids clinicians in assessing the need for prophylactic platelet transfusions. Integrating reference IPF values alongside platelet counts enhances the accuracy of evaluating a patient's hematopoietic recovery status. Anticipating the timing of platelet recovery optimizes blood product usage and mitigates transfusion reaction risks.

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Heart failure with preserved ejection fraction (HFpEF) and atrial fibrillation (AF) are often coexisting conditions, but their interrelationship has not yet been clarified. This study investigated the clinical characteristics and prognostic impact of AF among older patients with HFpEF hospitalized for acute HF (AHF). The study included patients 65 years of age and older who were admitted to the Emergency Department due to AHF from 1 January 2016 to 31 December 2019. Patients were divided into two groups according to the presence of AF. The primary endpoint was all-cause, in-hospital mortality. Overall, 770 patients with HFpEF were included, mean age 82 years, 53% were females. Nearly, a third (30%) of these patients had a concomitant AF and they were significantly older and had higher N-Terminal pro-B-type natriuretic peptide (NT-proBNP) values. Overall, the in-hospital mortality rate was much higher among HFpEF patients with AF compared to those without AF (11.4% vs 6.9%, respectively; p = 0.037). At multivariate analysis, AF emerged as an independent risk factor for death (OR 1.73 [1.03-2.92]; p = 0.038). Among older patients with HFpEF admitted for AHF, the coexistence of AF was associated with a nearly twofold increased risk of all-cause in-hospital mortality. Patients with HFpEF and AF describe a phenotype of older and more symptomatic patients, with higher NT-proBNP, left atrial enlargement, right ventricular dysfunction, and higher CV mortality.

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BACKGROUND: Heart failure (HF) can coexist with atrial fibrillation in up to 60 % of cases, increasing rates of hospitalizations and death. This study analyzed the clinical characteristics, treatment, hospitalization, and mortality of patients with HF and atrial fibrillation based on left ventricular ejection fraction (LVEF). METHODS: A retrospective cohort study included patients from an outpatient HF clinic at Medellín (Colombia) between 2020-2022. Patients were classified into two groups according to LVEF: reduced (LVEF≤40 %) and mildly reduced or preserved ejection fraction (LVEF>40 %). The evaluated outcomes were hospitalization and mortality during follow-up. Values for B-type natriuretic peptide (BNP), LVEF and functional class according to the New York Heart Association (NYHA) were also analyzed at admission and during the last follow-up visit. RESULTS: The study included 185 patients, with 51.9% being male. The median age of the participants was 80 years (interquartile range [IQR] 74 - 86). There was an overall improvement in the NYHA functional class, BNP levels, and LVEF compared with the baseline values, irrespective of left systolic function. Atrial fibrillation ablation was performed in 3.2 % of patients, and cardiac device implantation with atrioventricular node ablation in 29 %. No statistically significant differences were found in terms of hospitalization and mortality regarding left systolic function. CONCLUSION: Compressive optimal treatment for patients with HF and atrial fibrillation requires pharmacological treatment, ablation strategies, cardiac devices, cardiovascular rehabilitation and close follow-up. In this cohort, hospitalization and mortality rates were similar according to LVEF categories and there was improvement in NYHA functional class and BNP level.

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HYPOTHESIS: The co-flow step emulsification (CFSE) is very sensitive to the two-phase fluid interfaces, we conjecture that the CFSE hydrodynamic model depends on several key factors and the droplet generation process can be precisely controlled, thus to obtain droplet emulsions with the "ultra-high volume fraction of inner-phase" and "flexible droplet size" characteristics. The resulting droplets are expected to be applied to droplet digital PCR (ddPCR) with "high information density" and "wide dynamic range" advances. EXPERIMENTS: By combining numerical simulation and fluid dynamics experiments, we have investigated the crucial parameters affecting the CFSE two-phase interface and finally achieved the prediction and guidance for CFSE droplet production. FINDINGS: With the help of the CFSE device, multivolume droplet populations were produced on demand. Then, ddPCR tests were performed with DNA concentrations from 10 copies/µL to 20,000 copies/µL. The CFSE device owns an ultra-wide dynamic range (up to 5 orders of magnitude), showing excellent quantification ability of nucleic acid targets.

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BACKGROUND: Coronary interventions reduce morbidity and mortality in patients with acute coronary syndrome. However, the risk of mortality for patients with coronary artery disease (CAD) additionally depends on their systemic endothelial health status. The 'Endothelial Activation and Stress Index' (EASIX) predicts endothelial complications and survival in diverse clinical settings. OBJECTIVE: We hypothesized that EASIX may predict mortality in patients with CAD. METHODS: In 1283 patients undergoing coronary catheterization (CC) and having a diagnosis of CAD, EASIX was measured within 52 days (range - 1 year to - 14 days) before CC and correlated with overall survival. In an independent validation cohort of 1934 patients, EASIXval was measured within 174 days (+ 28 days to + 11 years) after CC. RESULTS: EASIX predicted the risk of mortality after CC (per log2: hazard ratio (HR) 1.29, 95% confidence interval: [1.18-1.41], p < 0.001) in multivariable Cox regression analyses adjusting for age, sex, a high-grade coronary stenosis ≥ 90%, left ventricular ejection fraction, arterial hypertension and diabetes. In the independent cohort, EASIX correlated with EASIXval with rho = 0.7. The long-term predictive value of EASIXval was confirmed (per log2: HR 1.53, [1.42-1.64], p < 0.001) and could be validated by integrated Brier score and concordance index. Pre-established cut-offs (0.88-2.32) associated with increased mortality (cut-off 0.88: HR training: 1.63; HR validation: 1.67, p < 0.0001 and cut-off 2.32: HR training: 3.57; HR validation: 4.65, p < 0.0001). CONCLUSIONS: We validated EASIX as a potential biomarker to predict death of CAD patients, irrespective of the timing either before or after catheterization.

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BACKGROUND: Beta-blocker therapy, a treatment burdened by side effects including fatigue, erectile dysfunction and depression, was shown to reduce mortality and cardiovascular events after acute coronary syndromes (ACS) in the pre-coronary reperfusion era. Potential mechanisms include protection from ventricular arrhythmias, increased ischaemia threshold and prevention of left ventricular (LV) adverse remodelling. With the advent of early mechanical reperfusion and contemporary pharmacologic secondary prevention, the benefit of beta-blockers after ACS in the absence of LV dysfunction has been challenged. METHODS: The present narrative review discusses the contemporary evidence based on searching the PubMed database and references in identified articles. RESULTS: Recently, the REDUCE-AMI trial-the first adequately powered randomized trial in the reperfusion era to test beta-blocker therapy after myocardial infarction with preserved left ventricular ejection fraction (LVEF)-showed no benefit on the composite of all-cause death or myocardial infarction over a median 3.5-year follow-up. While the benefit of beta-blockers in patients with reduced LVEF remains undisputed, their value in post-ACS patients with mildly reduced systolic function (LVEF 41%-49%) has not been studied in contemporary randomized trials; in this setting, observational studies have suggested a reduction in cardiovascular events with these agents. The adequate duration of beta-blocker therapy remains unknown, but observational data suggests that any mortality benefit may be lost beyond 1-12 months after ACS in patients with LVEF >40%. CONCLUSION: We believe that there is sufficient evidence to abandon routine beta-blocker prescription in post-ACS patients with preserved LV systolic function.

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AIMS: We analysed baseline characteristics and guideline-directed medical therapy (GDMT) use and decisions in the European Society of Cardiology (ESC) Heart Failure (HF) III Registry. METHODS AND RESULTS: Between 1 November 2018 and 31 December 2020, 10 162 patients with acute HF (AHF, 39%, age 70 [62-79], 36% women) or outpatient visit for HF (61%, age 66 [58-75], 33% women), with HF with reduced (HFrEF, 57%), mildly reduced (HFmrEF, 17%) or preserved (HFpEF, 26%) ejection fraction were enrolled from 220 centres in 41 European or ESC-affiliated countries. With AHF, 97% were hospitalized, 2.2% received intravenous treatment in the emergency department, and 0.9% received intravenous treatment in an outpatient clinic. AHF was seen by most by a general cardiologist (51%) and outpatient HF most by a HF specialist (48%). A majority had been hospitalized for HF before, but 26% of AHF and 6.1% of outpatient HF had de novo HF. Baseline use, initiation and discontinuation of GDMT varied according to AHF versus outpatient HF, de novo versus pre-existing HF, and by ejection fraction. After the AHF event or outpatient HF visit, use of any renin-angiotensin system inhibitor, angiotensin receptor-neprilysin inhibitor, beta-blocker, mineralocorticoid receptor antagonist and loop diuretics was 89%, 29%, 92%, 78%, and 85% in HFrEF; 89%, 9.7%, 90%, 64%, and 81% in HFmrEF; and 77%, 3.1%, 80%, 48%, and 80% in HFpEF. CONCLUSION: Use and initiation of GDMT was high in cardiology centres in Europe, compared to previous reports from cohorts and registries including more primary care and general medicine and regions more local or outside of Europe and ESC-affiliated countries.

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Unpredictable emergency department (ED) admissions challenge healthcare systems, causing resource allocation inefficiencies. This study analyses associations between air pollutants, meteorological factors, and 2,655,861 cause-specific ED admissions from 2014 to 2018 across 12 categories. Generalized additive models were used to assess non-linear associations for each exposure, yielding Incidence Rate Ratios (IRR), while the population attributable fraction (PAF) calculated each exposure's contribution to cause-specific ED admissions. IRRs revealed increased risks of ED admissions for respiratory infections (IRR: 1.06, 95% CI: 1.01-1.11) and infectious and parasitic diseases (IRR: 1.09, 95% CI: 1.03-1.15) during increased rainfall (13.21-16.97 mm). Wind speeds >12.73 km/hr corresponded to increased risks of ED admissions for respiratory infections (IRR: 1.12, 95% CI: 1.03-1.21) and oral diseases (IRR: 1.58, 95% CI: 1.31-1.91). Higher concentrations of air pollutants were associated with elevated risks of cardiovascular disease (IRR: 1.16, 95% CI: 1.05-1.27 for PM10) and respiratory infection-related ED admissions (IRR: 2.78, 95% CI: 1.69-4.56 for CO). Wind speeds >12.5 km/hr were predicted to contribute toward 10% of respiratory infection ED admissions, while mean temperatures >28°C corresponded to increases in the PAF up to 5% for genitourinary disorders and digestive diseases. PM10 concentrations >60 µg/m3 were highly attributable toward cardiovascular disease (PAF: 10%), digestive disease (PAF: 15%) and musculoskeletal disease (PAF: 10%) ED admissions. CO concentrations >0.6 ppm were highly attributable to respiratory infections (PAF: 20%) and diabetes mellitus (PAF: 20%) ED admissions. This study underscores protective effects of meteorological variables and deleterious impacts of air pollutant exposures across the ED admission categories considered.

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Cancer therapy advancements have improved survival rates but also introduced significant cardiotoxic risks. Cardiotoxicity, a critical adverse effect of cancer treatments such as doxorubicin, trastuzumab, and radiotherapy, poses substantial challenges. This systematic review synthesizes findings from studies on cardiotoxicity induced by cancer therapies, focusing on detection and management. Key predictors of chemotherapy-induced myocardial toxicity (CIMT) include advanced age, hypertension, hyperlipidemia, diabetes, and elevated N-terminal pro-B-type natriuretic peptide levels. Regular echocardiographic assessments, particularly of the left ventricular global longitudinal strain (LVGLS) and left ventricular ejection fraction (LVEF), are essential for early detection. The CardTox-Score, incorporating these risk factors, shows high sensitivity and specificity in predicting CIMT. Advanced imaging techniques and biomarkers play crucial roles in identifying at-risk patients before functional decline. Early biomarkers and imaging techniques such as LVGLS and LVEF are effective in diagnosing and managing cardiotoxicity, allowing timely interventions. Cardiology involvement in patient care significantly enhances adherence to cardiac monitoring guidelines and reduces cardiotoxicity risks. Management strategies emphasize regular cardiac monitoring, patient education, and the use of cardioprotective agents. A collaborative approach between cardiologists and oncologists is vital to assess cardiovascular risks, minimize vascular toxicity, and manage long-term adverse effects, ensuring the safety and efficacy of cancer therapies. This review underscores the importance of early detection and proactive management of cardiotoxicity in cancer patients to optimize treatment outcomes and improve quality of life.

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Background: The controlled attenuation parameter (CAP) enables the noninvasive assessment of liver steatosis. We performed a systematic review and meta-analysis to evaluate the diagnostic accuracy of CAP for identifying liver steatosis in patients at risk for metabolic dysfunction-associated steatotic liver disease (MASLD), using magnetic resonance imaging proton density fat fraction (MRI-PDFF) as the reference standard. Methods: We searched Medline, Embase, Cochrane Library and gray literature sources up to March 2024. We defined MASLD as MRI-PDFF ≥5%. We also assessed the accuracy of CAP for identifying patients with MRI-PDFF ≥10%. We calculated pooled sensitivity and specificity estimates using hierarchical random-effects models. We assessed the risk of bias using the Quality Assessment of Diagnostic Accuracy Studies 2 tool, and the certainty in meta-analysis estimates using the Grading of Recommendations Assessment, Development and Evaluation framework. Results: We included 8 studies with 1116 participants. The prevalence of MASLD ranged from 65.2-93.9%. Pooled sensitivity and specificity of CAP for MRI-PDFF ≥5% were 0.84 (95% confidence interval [CI] 0.79-0.88) and 0.77 (95%CI 0.68-0.84), respectively, with an area under the receiver operating characteristic curve (AUROC) of 0.88. The pooled sensitivity and specificity for MRI-PDFF ≥10% were 0.83 (95%CI 0.80-0.87) and 0.72 (95%CI 0.59-0.82), with an AUROC of 0.85. The certainty in our estimates was low to very low because of the high risk of bias, inconsistency and imprecision. Conclusions: CAP has acceptable diagnostic accuracy for both MRI-PDFF ≥5% and MRI-PDFF ≥10%. Adequately powered and rigorously conducted diagnostic accuracy studies are warranted to establish the optimal CAP thresholds.

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How to cite this article: Mishra S, Kothari N, Sharma A, Goyal S. Author Response: Oxygen Delivery Devices in Postoperative Patients: Proper Selection of Patients Matters! Indian J Crit Care Med 2024;28(8):803.

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Background and objective: The use of mesenchymal stem cells for heart failure treatment has gained increasing interest. However, most studies have relied on a single injection approach, with no research yet confirming the effects of multiple administrations. The present trial aims to investigate the safety and efficacy of multi-intravenous infusion of umbilical cord-mesenchymal stem cells (UC-MSCs) in patients with heart failure and reduced ejection fraction (HFrEF). Methods: The PRIME-HFrEF trial is a single-center, prospective, randomized, triple-blinded, placebo-controlled trial of multi-intravenous infusion of UC-MSCs in HFrEF patients. A total of 40 patients meeting the inclusion criteria for HFrEF were enrolled and randomized 1:1 to the MSC group or the placebo group. Patients enrolled will receive intravenous injections of either UC-MSCs or placebo every 6 weeks for three times. Both groups will be followed up for 12 months. The primary safety endpoint is the incidence of serious adverse events. The primary efficacy endpoint is a change in left ventricular ejection fraction (LVEF) measured by left ventricular opacification (LVO) with contrast echocardiography and magnetic resonance imaging (MRI) at 12 months. The secondary endpoints include a composite of the incidence of death and re-hospitalization caused by heart failure at the 12th month, serum NT-proBNP, growth stimulation expressed gene 2 (ST2), and a change of right ventricular structure and function. Conclusions: The PRIME-HFrEF study is designed to shed new light on multiple UC-MSC administration regimens for heart failure treatment.

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BACKGROUND: Prior studies characterizing worsening heart failure events (WHFE) have been limited in using structured healthcare data from hospitalizations, and with little exploration of sociodemographic variation. The current study examined the impact of incorporating unstructured data to identify WHFE, describing age-, sex-, race and ethnicity-, and left ventricular ejection fraction (LVEF)-specific rates. METHODS: Adult members of Kaiser Permanente Southern California (KPSC) with a HF diagnosis between 2014-2018 were followed through 2019 to identify hospitalized WHFE. The main outcome was hospitalizations with a principal or secondary HF discharge diagnosis meeting rule-based Natural Language Processing (NLP) criteria for WHFE. In comparison, we examined hospitalizations with a principal discharge diagnosis of HF. Age-, sex-, and race and ethnicity-adjusted rates per 100 person-years (PY) were calculated among age, sex, race and ethnicity (non-Hispanic (NH) Asian/Pacific Islander [API], Hispanic, NH Black, NH White) and LVEF subgroups. RESULTS: Among 44,863 adults with HF, 10,560 (23.5%) had an NLP-defined, hospitalized WHFE. Adjusted rates (per 100 PY) of WHFE using NLP were higher compared to rates based only on HF principal discharge diagnosis codes (12.7 and 9.3, respectively), and this followed similar patterns among subgroups, with the highest rates among adults ≥75 years (16.3 and 11.2), men (13.2 and 9.7), and NH Black (16.9 and 14.3) and Hispanic adults (15.3 and 11.4), and adults with reduced LVEF (16.2 and 14.0). Using NLP disproportionately increased the perceived burden of WHFE among API and adults with mid-range and preserved LVEF. CONCLUSION: Rule-based NLP improved the capture of hospitalized WHFE above principal discharge diagnosis codes alone. Applying standardized consensus definitions to EHR data may improve understanding of the burden of WHFE and promote optimal care overall and in specific sociodemographic groups.

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In a 0.3 T permanent-magnet magnetic resonance imaging (MRI) system, quantifying myelin content is challenging owing to long imaging times and low signal-to-noise ratio. macromolecular proton fraction (MPF) offers a quantitative assessment of myelin in the nervous system. We aimed to demonstrate the practical feasibility of MPF mapping in the brain using a 0.3 T MRI. Both 0.3 T and 3.0 T MRI systems were used. The MPF-mapping protocol used a standard 3D fast spoiled gradient-echo sequence based on the single-point reference method. Proton density, T1, and magnetization transfer-weighted images were obtained from a protein phantom at 0.3 T and 3.0 T to calculate MPF maps. MPF was measured in all phantom sections to assess its relationship to protein concentration. We acquired MPF maps for 16 and 8 healthy individuals at 0.3 T and 3.0 T, respectively, measuring MPF in nine brain tissues. Differences in MPF between 0.3 T and 3.0 T, and between 0.3 T and previously reported MPF at 0.5 T, were investigated. Pearson's correlation coefficient between protein concentration and MPF at 0.3 T and 3.0 T was 0.92 and 0.90, respectively. The 0.3 T MPF of brain tissue strongly correlated with 3.0 T MPF and literature values measured at 0.5 T. The absolute mean differences in MPF between 0.3 T and 0.5 T were 0.42% and 1.70% in white and gray matter, respectively. Single-point MPF mapping using 0.3 T permanent-magnet MRI can effectively assess myelin content in neural tissue.

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INTRODUCTION: Initial data suggest that His Bundle Pacing (HBP) could preserve long-term cardiac structure and function better than Right Ventricular Pacing (RVP), but evidence is limited. METHODS: We studied consecutive patients with baseline ejection fraction (EF) ≥ 50% who underwent HBP attempt, either successful (HBP group) or failed (RVP group). Two-dimensional (2D) and three-dimensional (3D) echocardiography were carried out at baseline and after 6 months of ventricular pacing burden > 20%. RESULTS: Among 68 patients, 40 underwent successful HBP, and 28 RVP. The HBP and RVP groups did not differ for age, sex and pacing indication. At baseline, the HBP and RVP groups did not differ for 2D EF (62% vs. 62%), 3D EF (60% vs. 63%), 2D (-19% vs. -19%) and 3D global longitudinal strain (GLS) (-15% vs. -16%). After 6 months, 2D EF (-3.86%) and 3D EF (-5.71%) significantly decreased in the RVP group and did not change in the HBP group (p for interaction .006 and <.001, respectively). 2D GLS (3.08%) and 3D GLS (2.22%) significantly increased in the RVP group, but did not change in the HBP group (p for interaction .013 and <.016, respectively). Pacing induced cardiomyopathy (PICM) (EF drop ≥ 10% and EF < 50%) occurred in 14% (RVP) versus 0% (HBP) of patients (p = .025). CONCLUSIONS: Successful HBP was superior to RVP in preserving LV systolic function despite a high ventricular pacing burden, and was less frequently associated with PICM.