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Background: Echocardiographic deformation-based ratios and novel multi-parametric scores have been suggested to discriminate transthyretin cardiac amyloidosis (ATTR-CM) from other causes of increased left ventricular wall thickness among patients referred for ATTR-CM evaluation. Their relative predictive accuracy has not been well studied. We sought to (1) identify echocardiographic parameters predictive of ATTR-CM and (2) compare the diagnostic accuracy of these parameters in patients with suspected ATTR-CM referred for technetium-99m-pyrophosphate scintigraphy. Methods: Echocardiograms from 598 patients referred to 3 major amyloidosis centers for technetium-99m-pyrophosphate to detect ATTR-CM were analyzed, including longitudinal strain (LS) analysis. Deformation ratios (septal apex to base ratio, relative apical sparing, ejection fraction to global LS), a multi-center European increased wall thickness score, and Mayo Clinic derived ATTR score (transthyretin cardiac amyloidosis score) were calculated. A logistic regression model was used to identify the parameters that best associated with a diagnosis of ATTR-CM. Comparison of the diagnostic capacity of the parameters was performed by receiver operating characteristic curves and the area under the curve (AUC). Results: Over half of the subjects (54.2%) were diagnosed with ATTR-CM (78% were men, median age of 76 years). Age, inferolateral wall thickness, and basal LS were the strongest predictors of ATTR-CM, AUC of 0.87 (95% CI: 0.83, 0.90), superior to the increased wall thickness score AUC of 0.78 (95% CI: 0.73, 0.83; P =0.004). An inferolateral wall thickness of ≥14 mm (AUC: 0.73) was as accurate as the published cut-offs for transthyretin cardiac amyloidosis score and septal apex to base (AUC: 0.72 and 0.69, P =0.8 and P =0.1, respectively), and was superior to ejection fraction to global LS and relative apical sparing (AUC: 0.64 and 0.53, P P =0.2); outperforming the other indices ( P Conclusion: Inferolateral wall thickness and average basal LS performed as well as or better than more complex echo ratios and multiparametric scores to predict ATTR-CM.

The relation of high-sensitivity cardiac troponin I (hs-cTnI) concentration and presence of obstructive coronary artery disease (CAD) in patients without myocardial infarction (MI) is unclear. Study participants selected from patients free of MI who underwent coronary angiography with or without intervention were enrolled, and hs-cTnI measured. A gradient boosting model was implemented to build a model for detection of CAD. Cox proportional hazard regression was used to assess the association of hs-cTnI and adverse cardiovascular (CV) outcome. Among 978 study participants, 607 patients (62%) had CAD. Higher concentrations of hs-cTnI were associated with chronic kidney disease, heart failure, CAD, male gender, current tobacco use, anemia, age, and low-density lipoprotein cholesterol. History of CAD, male gender, type 2 diabetes mellitus, hs-cTnI, anemia, age, and high-density lipoprotein cholesterol were the most influential factors for detection of CAD. The gradient boosting model had an area under the curve of 0.82, accuracy of 75%, sensitivity of 88%, specificity of 52%, positive predictive value of 76%, and negative predictive value of 72% for detection of CAD. Increase in 1 log unit of hs-cTnI was significantly associated with increased risk of incident MI (hazard ratio [HR] 1.34, 95% confidence interval [CI] 1.22 to 1.47, p0.001), CV mortality (HR 1. 24, 95% CI 1.11 to 1.39, p0.001), and composite of incident MI or CV mortality (HR 1.29, 95% CI 1.20 to 1.40, p0.001). In conclusion, among patients without acute MI and CAD, higher concentrations of hs-cTnI were associated with the presence of CAD and linked to increased risk of future CV events. ClinicalTrials.gov Identifier: NCT00842868.

Psychiatric-Mental Health nurses can build cultural competence when caring for clients who are Sexual and Gender Minorities (LGBTQIA+) in the following ways: by learning how health care pathologized core aspects of Sexual and Gender Minorities' (SGM) identities; by understanding historical and current SGM minority stressors and consequent health disparities and inequities; and by framing health disparities and inequities as forms of cultural violence. To begin building trust among SGMs and health care providers, trust damaged by cultural violence and stigma, nurses can implement the Nonviolent Communication Process in clinical settings.

BACKGROUND: Immune checkpoint inhibitors (ICI) are widely used cancer treatments. There are limited data the risk for developing venous thromboembolism (VTE) among patients on an ICI. METHODS: This was a retrospective study of 2854 patients who received ICIs at a single academic center. VTE events, defined as a composite of deep vein thrombosis (DVT) or pulmonary embolism (PE), were identified by individual chart review and were blindly adjudicated using standard imaging criteria. A self-controlled risk-interval design was applied with an “at-risk period” defined as the two-year period after, and the “control period”, defined as the two-year prior to treatment. The hazard ratio (HR) was calculated using a fixed-effect proportional hazards model. RESULTS: Of the 2854 patients, 1640 (57.5%) were men; mean age was 64±13 years. The risk for VTE was 7.4% at 6 months and 13.8% at 1 year after starting an ICI. The rate of VTE was >4-fold higher after starting an ICI (HR 4.98, 95% CI 3.65 – 8.59, p

Background Cardiac magnetic resonance (CMR) imaging is important for diagnosis and risk stratification of hypertrophic cardiomyopathy (HCM) patients. However, collection of information from large numbers of CMR reports by manual review is time-consuming, error-prone and costly. Natural language processing (NLP) is an artificial intelligence method for automated extraction of information from narrative text including text in CMR reports in electronic health records (EHR). Our objective was to assess whether NLP can accurately extract diagnosis of HCM from CMR reports. Methods An NLP system with two tiers was developed for information extraction from narrative text in CMR reports; the first tier extracted information regarding HCM diagnosis while the second extracted categorical and numeric concepts for HCM classification. We randomly allocated 200 HCM patients with CMR reports from 2004 to 2018 into training (100 patients with 185 CMR reports) and testing sets (100 patients with 206 reports). Results NLP algorithms demonstrated very high performance compared to manual annotation. The algorithm to extract HCM diagnosis had accuracy of 0.99. The accuracy for categorical concepts included HCM morphologic subtype 0.99, systolic anterior motion of the mitral valve 0.96, mitral regurgitation 0.93, left ventricular (LV) obstruction 0.94, location of obstruction 0.92, apical pouch 0.98, LV delayed enhancement 0.93, left atrial enlargement 0.99 and right atrial enlargement 0.98. Accuracy for numeric concepts included maximal LV wall thickness 0.96, LV mass 0.99, LV mass index 0.98, LV ejection fraction 0.98 and right ventricular ejection fraction 0.99. Conclusions NLP identified and classified HCM from CMR narrative text reports with very high performance.

BACKGROUND Management of abdominal aortic aneurysms (AAAs) requires serial imaging surveillance to evaluate the aneurysm dimension. Natural language processing (NLP) has been previously developed to retrospectively identify patients with AAA from electronic health records (EHRs). However, there are no reported studies that use NLP to identify patients with AAA in near real-time from radiology reports. OBJECTIVE This study aims to develop and validate a rule-based NLP algorithm for near real-time automatic extraction of AAA diagnosis from radiology reports for case identification. METHODS The AAA-NLP algorithm was developed and deployed to an EHR big data infrastructure for near real-time processing of radiology reports from May 1, 2019, to September 2020. NLP extracted named entities for AAA case identification and classified subjects as cases and controls. The reference standard to assess algorithm performance was a manual review of processed radiology reports by trained physicians following standardized criteria. Reviewers were blinded to the diagnosis of each subject. The AAA-NLP algorithm was refined in 3 successive iterations. For each iteration, the AAA-NLP algorithm was modified based on performance compared to the reference standard. RESULTS A total of 360 reports were reviewed, of which 120 radiology reports were randomly selected for each iteration. At each iteration, the AAA-NLP algorithm performance improved. The algorithm identified AAA cases in near real-time with high positive predictive value (0.98), sensitivity (0.95), specificity (0.98), F1 score (0.97), and accuracy (0.97). CONCLUSIONS Implementation of NLP for accurate identification of AAA cases from radiology reports with high performance in near real time is feasible. This NLP technique will support automated input for patient care and clinical decision support tools for the management of patients with AAA.

Background Coronary vasospasm is a recognized side effect of 5-fluorouracil (5-FU). There are limited and conflicting data on the incidence, risk factors, and prognostic effect of 5-FU–associated vasospasm. Objectives This study sought to assess the incidence, risk factors, and prognostic implications of 5-FU coronary vasospasm among patients receiving 5-FU regimens at a single tertiary care center. Methods The study conducted a retrospective analysis of all patients who received 5-FU at a single academic center from January 2009 to July 2019. Vasospasm was defined as the occurrence of a typical chest pain syndrome in the presence of 5-FU. The presence of associated electrocardiogram changes or elevated biomarkers was used to further confirm the diagnosis. Patients with vasospasm were compared with patients treated with 5-FU without vasospasm in a 1:2 ratio. Data regarding demographics, medical history, and follow-up were collected by manual chart review. Results From approximately 4,019 individual patients who received 5-FU from 2009 to 2019 at a single center, 87 (2.16%) developed vasospasm. Patients who developed vasospasm were younger (age 58 ± 13 years vs. 64 ± 13 years; p = 0.001) and were less likely to have any cardiovascular risk factors (70.1% vs. 84.5%; p = 0.007). Patients with vasospasm and patients without vasospasm were otherwise similar in terms of types of cancer, stage of cancer, sex, and race. There was no significant difference in progression-free survival, overall mortality or cancer specific mortality between patients who developed vasospasm versus those who did not. Conclusions In a large, single-center report of 5-FU–associated vasospasm, patients who developed vasospasm were younger, had lower rates of traditional cardiovascular risk factors, and had no significant difference in progression-free or overall survival compared with those who did not develop vasospasm.

This study sought to assess associations between longitudinal change in atrial natriuretic peptide (ANP) and reverse cardiac remodeling following initiation of sacubitril/valsartan in patients with heart failure with reduced ejection fraction (HFrEF).Neprilysin inhibition results in an increase of several vasoactive peptides that may mediate the beneficial effects of sacubitril/valsartan, including ANP.In a prospective study of initiation and titration of sacubitril/valsartan in patients with HFrEF, blood was collected at scheduled time points into tubes containing protease inhibitors. This pre-specified exploratory analysis included patients in whom ANP was measured at baseline and serially through 12 months of treatment.Among 144 participants (mean age: 64.5 years; left ventricular ejection fraction: 30.8%), following initiation of sacubitril/valsartan, there was an early and significant increase in ANP, with the majority of rise from 99 pg/ml at baseline to 156 pg/ml at day 14 (p 0.001). There was a further trend toward a second increase from day 30 to day 45 (p = 0.07). At maximal rise, ANP had doubled. In longitudinal analyses, early rise in ANP was followed by a subsequent increase in urinary cycle guanosine monophosphate. Larger early increase in ANP was associated with larger later improvements in left ventricular ejection fraction and left atrial volume index (p 0.001 for both).Concentrations of ANP doubled after initiation of sacubitril/valsartan in patients with HFrEF. Larger early increases in ANP were associated with a greater magnitude of subsequent reverse cardiac remodeling. (Effects of Sacubitril/Valsartan Therapy on Biomarkers, Myocardial Remodeling and Outcomes [PROVE-HF]; NCT02887183).

Sacubitril/valsartan (Sac/Val) improves outcomes in patients with heart failure with reduced ejection fraction (HFrEF).In this study, the authors sought to explore age differences in effects of Sac/Val on biomarkers, Kansas City Cardiomyopathy Questionnaire (KCCQ)-23 scores and cardiac remodeling.After initiation and titration of Sac/Val, concentrations of N-terminal pro-B-type natriuretic peptide (NT-proBNP), high-sensitivity troponin T (hs-cTnT), and soluble suppressor of tumorigenicity 2 (sST2) were measured and KCCQ-23 scores obtained from baseline to 12 months. Left ventricular ejection fraction (LVEF), and indexed left ventricular end-systolic (LVESVi) and indexed left ventricular end-diastolic (LVEDVi) and left atrial volume index (LAVi) volumes were measured with the use of echocardiography. Safety end points were assessed. Age-stratified analysis was performed for groups aged 65, 65-74, and ≥75 years.Among 794 participants with HFrEF (mean age 65.1 years, 28.5% women), compared with patients aged 65 years (n = 369), 65-74 years (n = 237), and those aged ≥75 years (n = 188), had similar reductions in hs-cTnT and sST2, but less NT-proBNP reduction (-45.6% vs -40.2% vs -30.5%, respectively; P = 0.02). Gains in KCCQ-23 were smaller (+11.8 vs +11.4 vs +6.0 points; P = 0.03) in patients aged ≥75 years, although similar proportions of each age group achieved ≥10-point and ≥20-point increases in KCCQ-23 by month 12. Improvements in LVEF, LVEDVi, LVESVi, and LAVi were similar among age groups. Incidence of safety end points was also similar.Sac/Val resulted in significant improvements in prognostic biomarkers and measures of cardiac remodeling and health status from baseline to month 12 across age categories. Older study participants showed somewhat blunted reduction in NT-proBNP and less improvement in KCCQ-23 overall summary scores. (Effects of Sacubitril/Valsartan Therapy on Biomarkers, Myocardial Remodeling, and Outcomes [PROVE-HF]; NCT02887183).

Background Management of abdominal aortic aneurysms (AAAs) requires serial imaging surveillance to evaluate the aneurysm dimension. Natural language processing (NLP) has been previously developed to retrospectively identify patients with AAA from electronic health records (EHRs). However, there are no reported studies that use NLP to identify patients with AAA in near real-time from radiology reports. Objective This study aims to develop and validate a rule-based NLP algorithm for near real-time automatic extraction of AAA diagnosis from radiology reports for case identification. Methods The AAA-NLP algorithm was developed and deployed to an EHR big data infrastructure for near real-time processing of radiology reports from May 1, 2019, to September 2020. NLP extracted named entities for AAA case identification and classified subjects as cases and controls. The reference standard to assess algorithm performance was a manual review of processed radiology reports by trained physicians following standardized criteria. Reviewers were blinded to the diagnosis of each subject. The AAA-NLP algorithm was refined in 3 successive iterations. For each iteration, the AAA-NLP algorithm was modified based on performance compared to the reference standard. Results A total of 360 reports were reviewed, of which 120 radiology reports were randomly selected for each iteration. At each iteration, the AAA-NLP algorithm performance improved. The algorithm identified AAA cases in near real-time with high positive predictive value (0.98), sensitivity (0.95), specificity (0.98), F1 score (0.97), and accuracy (0.97). Conclusions Implementation of NLP for accurate identification of AAA cases from radiology reports with high performance in near real time is feasible. This NLP technique will support automated input for patient care and clinical decision support tools for the management of patients with AAA.

New York state is among the largest producers of table beets in the United States, which, by extension, has placed a new focus on precision crop management. For example, an operational unmanned aerial system (UAS)-based yield forecasting tool could prove helpful for the efficient management and harvest scheduling of crops for factory feedstock. The objective of this study was to evaluate the feasibility of predicting the weight of table beet roots from spectral and textural features, obtained from hyperspectral images collected via UAS. We identified specific wavelengths with significant predictive ability, e.g., we down-select >200 wavelengths to those spectral indices sensitive to root yield (weight per unit length). Multivariate linear regression was used, and the accuracy and precision were evaluated at different growth stages throughout the season to evaluate temporal plasticity. Models at each growth stage exhibited similar results (albeit with different wavelength indices), with the LOOCV (leave-one-out cross-validation) R2 ranging from 0.85 to 0.90 and RMSE of 10.81–12.93% for the best-performing models in each growth stage. Among visible and NIR spectral regions, the 760–920 nm-wavelength region contained the most wavelength indices highly correlated with table beet root yield. We recommend future studies to further test our proposed wavelength indices on data collected from different geographic locations and seasons to validate our results.

It has long been observed that heart failure (HF) is associated with measures of systemic inflammation. In recent years, there have been significant advancements in our understanding of how inflammation contributes to the pathogenesis and progression of HF. However, although numerous studies have validated the association between measures of inflammation and HF severity and prognosis, clinical trials of anti-inflammatory therapies have proven mostly unsuccessful. On this backdrop emerges the yet unmet goal of targeting precise phenotypes within the syndrome of HF; if such precise definitions can be realized, and with better understanding of the roles played by specific inflammatory mediators, the expectation is that targeted anti-inflammatory therapies may improve prognosis in patients whose HF is driven by inflammatory pathobiology. Here, the authors describe mechanistic links between inflammation and HF, discuss traditional and novel inflammatory biomarkers, and summarize the latest evidence from clinical trials of anti-inflammatory therapies.

Issue: The physical examination has been in decline for many years and poorer skills contribute to medical errors and adverse events. Diagnostic error is also increasing with the complexity of medicine. Comparing the physical examination in Ireland and the United States with a focus on education, assessment, culture, and health systems may provide insight into the decline of the physical exam in the United States, uncover possible strategies to improve clinical skills, and limit diagnostic error. Evidence: The physical exam is a core component of both undergraduate and postgraduate medical education in Ireland. This is reflected by the time and effort invested by medical schools and medical societies in Ireland in teaching and assessing skills. This high standard of skills results in the physical exam being a key component of the diagnostic process and a gatekeeper to expensive investigations essential in a resource-limited health system such as Ireland. Use of the physical exam in the United States is hindered by the high-tech transformation of healthcare and a more litigious society. Known strategies to highlight the role of the physical exam in clinical practice include creating an evidence base to show that better physical exam skills improve outcomes, identifying accurate physical exam maneuvers, stressing the therapeutic alliance the physical exam brings to the patient encounter, and the incorporation of technology into the bedside exam. Implications: Contrasting the education and clinical use of the physical examination in the United States with Ireland allowed us to identify a number of strategies which could be used to promote the physical exam among learners in both countries. Highlighting simple and pragmatic physical exam maneuvers combined with evidence-based physical exam diagnostic data may renew confidence in the physical exam as a core diagnostic tool. Use of the hypothesis-driven approach may streamline a clinician's physical exam during a patient encounter, focusing on the key examination components and avoiding unnecessary and low yield maneuvers. The absence of assessment of physical exam skills using real patients in United States licensing exams communicates to learners that these skills are not important. However, steps to introduce a culture of assessment to drive learning are being introduced. One area Ireland could learn from the United States is incorporating more technology into the bedside exam. Enhanced physical examination skills in both countries could reduce reliance on expensive investigations and improve diagnostic accuracy.

Background Coronary vasospasm is a known side effect of 5-FU (fluorouracil) therapy. Beyond switching to non-5FU-based chemotherapy, there are no established treatments for 5-FU associated coronary vasospam. Our objective was to assess the safety and efficacy of re-challenge with 5-FU after pre-treatment with calcium channel blockers (CCBs) and long-acting nitrates among patients 5-FU associated coronary vasospasm. Methods We conducted a retrospective study of patients with 5-FU coronary vasospasm at a single academic center. By protocol, those referred to cardio-oncology received pre-treatment with either combination [nitrates and CCBs] or single-agent therapy [nitrates or CCBs]) prior to re-challenge with 5-FU. Our primary outcome was overall survival. Other important outcomes included progression-free survival and safety. Results Among 6,606 patients who received 5-FU from January 2001 to Dec 2020, 115 (1.74%) developed coronary vasospasm. Of these 115 patients, 81 patients continued 5-FU therapy, while 34 stopped. Of the 81 who continued, 78 were referred to cardio-oncology and prescribed CCBs and/or nitrates prior to subsequent 5-FU, while the remaining 3 continued 5-FU without cardiac pre-treatment. Of the 78, 56.4% (44/78) received both nitrates and CCBs, 19.2% (15/78) received CCBs alone, and 24.4% (19/78) received nitrates alone. When compared to patients who stopped 5-FU, those who continued 5-FU after pre-treatment (single or combination therapy) had a decreased risk of death (HR 0.42, P = 0.005 [95% CI 0.23–0.77]) and a trend towards decreased cancer progression (HR 0.60, P = 0.08 [95% CI 0.34–1.06]). No patient in the pre-treatment group had a myocardial infarct after re-challenge; however, chest pain (without myocardial infarction) recurred in 19.2% (15/78) among those who received cardiac pre-treatment vs. 66.7% (2/3) among those who did not (P = 0.048). There was no difference in efficacy or the recurrence of vasospasm among patients who received pre-treatment with a single agent (nitrates or CCBs) or combination therapy (14.7% (5/34) vs. 25.0% (11/44), P = 0.26). Conclusion Re-challenge after pre-treatment with CCBs and nitrates guided by a cardio-oncology service was safe and allowed continued 5-FU therapy.

This study assessed changes in B-type natriuretic peptide (BNP) among patients with heart failure with reduced ejection fraction (HFrEF) treated with sacubitril/valsartan (Sac/Val) according to standard prescribing information.Through inhibition of neprilysin, Sac/Val may increase BNP concentrations.In an individual patient analysis from the EVALUATE-HF (Study of Effects of Sacubitril/Valsartan vs. Enalapril on Aortic Stiffness in Patients With Mild to Moderate HF With Reduced Ejection Fraction) (n = 221) and the PROVE-HF (Effects of Sacubitril/Valsartan Therapy on Biomarkers, Myocardial Remodeling and Outcomes) (n = 146) studies, we examined changes in BNP, N-terminal pro-BNP (NT-proBNP), and urinary cyclic guanosine monophosphate (ucGMP) from baseline to week 4 and week 12.Median (IQRs) concentration of BNP at baseline, week 4, and week 12 were 145 [IQR: 55-329], 136 [IQR: 50-338], and 135 [IQR: 51-299] ng/L, respectively. There was no significant change from baseline to week 4 (0% [-30% to +41%]; P = 0.36) or week 12 (+1% [-36% to +50%]; P = 0.97). By week 12, one-half of the study participants had a BNP decline. There was no association between Sac/Val dose and BNP changes. Change in BNP was directly associated with change in NT-proBNP (rho: = 0.81; P 0.001), which decreased by -30% (-50% to -8%) and -32% (-54% to -1%) to weeks 4 and 12 (P 0.001 for both). In contrast, change in BNP was only weakly associated with change in ucGMP (rho: = 0.19; P 0.001). Increases in ucGMP were observed regardless of whether BNP was decreased (+11% [-34% to +115%]), unchanged (+34% [-15% to +205%]), or increased (+57% [-12% to +14%]).In this pooled analysis of patients with HFrEF with standard indications for Sac/Val treatment, there was no significant overall increase in BNP concentrations, and patients demonstrated increase in ucGMP regardless of the trajectory of BNP change. (Study of Effects of Sacubitril/Valsartan vs. Enalapril on Aortic Stiffness in Patients With Mild to Moderate HF With Reduced Ejection Fraction [EVALUATE-HF]; NCT02874794) (Effects of Sacubitril/Valsartan Therapy on Biomarkers, Myocardial Remodeling and Outcomes [PROVE-HF]; NCT02887183).

Background Type 2 myocardial infarction (T2MI) is common and associated with high cardiovascular event rates. However, the relationship between T2MI and heart failure (HF) is uncertain. Methods and Results We identified patients with T2MI at a large tertiary hospital between October 2017 and May 2018. Patient characteristics, causes of T2MI, and subsequent HF hospitalizations were determined by physician chart review. We identified 359 patients with T2MI over the study period; 184 patients had a history of HF. Among patients with ejection fraction (EF) assessment (N=180), the majority had preserved EF (N=107; 59.4%), followed by reduced EF (N=54; 30.0%), and mid‐range EF (N=19; 10.6%). Acute HF was the most common cause of T2MI (20.9%). Of those whose T2MI was precipitated by HF (N=75), the mean EF was 53.0±16.8% and 16 (21.3%) were de novo diagnoses of HF. Among patients with T2MI who were discharged alive with available follow‐up (N=289), 5.5% were hospitalized with acute HF within 30 days, 17.3% within 180 days, and 22.1% within 1 year. In subgroup analyses, among patients with T2MI with prevalent or new HF (N=161), the rate of HF hospitalization at 1 year was 34.2%, considerably higher than those with T2MI and no HF diagnosis at discharge (7.0%; N=9/128). Conclusions Index presentations of HF or worsening chronic HF represent the most common causes of T2MI. ≈1 in 5 patients with T2MI will be readmitted for HF within 1 year of their event. Strategies to prevent HF events after a T2MI are needed.

Yield assessment in broadacre crops is often base on time-consuming and labor-intensive approximations. However, the emergence of unmanned aerial systems (UAS) has allowed for rapid and cost-effective data acquisition. We evaluated red beet plant counts using multispectral UAS data via computer vision and regression analysis. Flight data were captured twice during summer 2019. Our preprocessing steps included i) vegetation detection, ii) feature generation, and iii) feature selection. Partial least squares regression was used as a statistical predictor. Results showed that plant count could be predicted with an acceptable coefficient of determination ( $R^{2}=0.76$ for calibration; $R^{2}=0.54$ for cross-validation) and a low root-mean-square-error ( $\text{RMSE} =12.27$ plants/plot for calibration, $\text{RMSE} =17.45$ plants/plot for cross-validation). These results are promising, since the error margin, relative to the average density (175 plants/plot), was below 10%. Future efforts should include different geographical locations, higher resolution imagery, and more advanced approaches such as deep learning algorithms with potential for improved accuracy and precision.

Background: Sacubitril/valsartan (S/V) treatment is associated with reverse cardiac remodeling and reductions in biomarkers reflecting ventricular wall stress and myocardial injury, such as NT-proBNP (N-terminal pro-B-type natriuretic peptide), hs-cTnT (high-sensitivity cardiac troponin T), and soluble suppressor of tumorigenicity 2 (sST2). How longitudinal changes in these biomarkers analyzed collectively are associated with cardiac remodeling in patients with heart failure with reduced ejection fraction treated with S/V is uncertain. Methods: In a prospective study of S/V in patients with heart failure with reduced ejection fraction, this prespecified exploratory analysis included patients with serially collected biomarkers and echocardiographic measures of cardiac remodeling through 12 months of treatment. A multivariate latent growth curve model assessed associations between simultaneous changes in biomarkers and left ventricular ejection fraction and left atrial volume index. Results: Seven hundred fifteen out of 794 total study participants were included (mean age 65 years, 73% male). Mean baseline left ventricular ejection fraction and left atrial volume index were 29% and 40 mL/m 2 , respectively. Adjusted geometric mean baseline concentrations for biomarkers included NT-proBNP of 649 pg/mL, hs-cTnT of 15.9 ng/L, and sST2 of 24.7 ng/mL. Following initiation of S/V, circulating concentrations of NT-proBNP, hs-cTnT, and sST2 significantly decreased within 30 days and remained significantly different than baseline at all subsequent timepoints. From baseline to month 12, decreases in adjusted biomarker concentrations averaged −27.9% (95% CI, −35.1% to −20.7%; P P P Conclusions: Following initiation of S/V, NT-proBNP, hs-cTnT, and sST2 concentrations decreased significantly. Longitudinal changes in NT-proBNP and hs-cTnT together associated with left atrial and left ventricular reverse remodeling. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT02887183.

Summary Objectives Skeletal myopathies are highly morbid, and in rare cases even fatal, immune-related adverse events (irAE) associated with immune checkpoint inhibitors (ICI). Skeletal myopathies are also a recognized statin-associated side effect. It is unknown whether concurrent use of statins and ICIs increases the risk of skeletal myopathies. Methods This was a retrospective cohort study of all patients who were treated with an ICI at a single academic institution (Massachusetts General Hospital, Boston, MA, USA). The primary outcome of interest was the development of a skeletal myopathy. The secondary outcome of interest was an elevated creatine kinase level (above the upper limit of normal). Results Among 2757 patients, 861 (31.2%) were treated with a statin at the time of ICI start. Statin users were older, more likely to be male and had a higher prevalence of cardiovascular and non-cardiovascular co-morbidities. During a median follow-up of 194 days (inter quartile range 65–410), a skeletal myopathy occurred in 33 patients (1.2%) and was more common among statin users (2.7 vs. 0.9%, P < 0.001). Creatine kinase (CK) elevation was present in 16.3% (114/699) and was higher among statin users (20.0 vs. 14.3%, P = 0.067). In a multivariable Cox model, statin therapy was associated with a >2-fold higher risk for skeletal myopathy (HR, 2.19; 95% confidence interval, 1.07–4.50; P = 0.033). Conclusion In this large cohort of ICI-treated patients, a higher risk was observed for skeletal myopathies and elevation in CK levels in patients undergoing concurrent statin therapy. Prospective observational studies are warranted to further elucidate the potential association between statin use and ICI-associated myopathies., Graphical Abstract Graphical Abstract

BackgroundMyocarditis is a highly morbid complication of immune checkpoint inhibitor (ICI) use that remains inadequately characterized. The QRS duration and the QTc interval are standardized electrocardiographic measures that are prolonged in other cardiac conditions; however, there are no data on their utility in ICI myocarditis.MethodsFrom an international registry, ECG parameters were compared between 140 myocarditis cases and 179 controls across multiple time points (pre-ICI, on ICI prior to myocarditis, and at the time of myocarditis). The association between ECG values and major adverse cardiac events (MACE) was also tested.ResultsBoth the QRS duration and QTc interval were similar between cases and controls prior to myocarditis. When compared with controls on an ICI (93±19 ms) or to baseline prior to myocarditis (97±19 ms), the QRS duration prolonged with myocarditis (110±22 ms, pConclusionsThe QRS duration is increased in ICI myocarditis and is associated with increased MACE risk. Use of this widely available ECG parameter may aid in ICI myocarditis diagnosis and risk-stratification.

Introduction: The use of immune checkpoint inhibitors (ICIs) is associated with an increase in cardiovascular events. The mechanism is likely related to immune activation and inflammation. Patients with pre-existing autoimmune disease have a baseline increased risk for cardiovascular disease and have been traditionally excluded from clinical trials of ICIs. There is limited data on the cardiovascular and non-cardiovascular safety of ICIs in these patients. Methods: This was a retrospective study of 2845 patients treated with an ICI at the Massachusetts General Hospital. This cohort was screened by individual chart review for patients with a diagnosis of an autoimmune disease prior to ICI therapy. These autoimmune patients were compared to controls at a 1:2 ratio. Baseline characteristics and risk of cardiovascular and non-cardiovascular immune related adverse events (iRAEs) were compared. Cardiovascular events were a composite of myocardial infarction (MI), percutaneous coronary intervention (PCI), coronary artery bypass graft (CABG), stroke, transient ischemic attack (TIA), deep venous thrombosis (DVT), pulmonary embolism (PE), or myocarditis. Results: 93 patients had a diagnosis of an autoimmune disease prior to ICI. These patients were more likely to be older and to have a history of coronary artery disease, heart failure, chronic kidney disease, hypertension and diabetes mellitus. There were 12 events over a median follow-up period of 300 days. There was no significant difference in composite of cardiovascular events in follow-up (13 vs. 9.1%, autoimmune vs. none, P =0.41). The individual cardiovascular event rates were as follows: MI (4.3 vs. 0.5%, P =0.04), PCI (0 vs. 0.5%, P =1), CABG (0. vs. 0.5%, P =1), stroke (0 vs. 0%), TIA (0 vs. 0.5%, P =1), DVT (5.4 vs. 2.2%, P =0.17), PE (1.1 vs. 4.8%, P =0.17), and myocarditis (2.2 vs. 1.1%, P =0.60). There was an increased rate of pneumonitis (14 vs. 4%, P P Conclusions: Patients with pre-existing autoimmune disease treated with an ICI had a higher baseline cardiovascular risk but did not have a significant increase in cardiovascular events in an unadjusted analysis. These patients did, however, have an increased rate of pneumonitis and skin toxicity after ICI.

Background: Despite over one million cases of novel coronavirus disease 2019 (COVID-19) in the United States, limited data, including socioeconomic information and treatment strategies, exist regarding patients hospitalized with the viral infection. Methods: In this case series, we identified patients with COVID-19 admitted to 3 Partners Healthcare hospitals in Boston, Massachusetts between March 7th, 2020, and March 30th, 2020. Patient characteristics; treatment strategies; clinical outcomes including mortality, intensive care utilization, and cardiovascular events were determined. Findings: A total of 247 patients hospitalized with COVID-19 over the study period were identified; the median age was 61 (interquartile range [IQR]: 50-76 years), 58% were men, 30% of Hispanic ethnicity, 21% enrolled in Medicaid, and 12% dual-enrolled Medicare/Medicaid. The median estimated household income was $66,701 [IQR: $50,336- $86,601]. Among patients with employment data (204): 89 (36%) were retired, 23 (9.3%) worked in hospitality, 10 (4%) were healthcare workers, 5 (2%) worked in public transportation, and 21 (8.5%) were unemployed. The majority of patients were treated with hydroxychloroquine (72%), and statins (76%; newly initiated in 34%). Among those treated with hydroxychloroquine with available electrocardiogram data (172), 38% developed QTc prolongation. Discontinuation of statin therapy due to elevated creatinine kinase or elevated liver biochemical tests was also common (29%). New atrial fibrillation/flutter occurred in 8.9% of patients and ventricular tachycardia (non-sustained/sustained) in 7.3% of patients. Other cardiovascular events including myocardial infarction (4.9%) and venous thromboembolism (2.8%) were less common. Within the follow-up period, 103 (42%) required intensive care. At the end of the data collection period (April 19, 2020), 170 patients (68.8%) were discharged alive, 51 patients (20.7%) remain admitted, and 26 patients (10.5%) have died. Interpretation: Patients hospitalized with COVID-19 are frequently of vulnerable socioeconomic status and often require intensive care. Early in the pandemic, off-label drug prescriptions were common. Funding Statement: American Heart Association Declaration of Interests: Dr. Wasfy reports a grant from the American Heart Association (18 CDA 34110215). Dr. Natarajan is supported by a Hassenfeld Scholar Award from the Massachusetts General Hospital, a grant from Fondation Leducq (TNE-18CVD04), and National Heart, Lung, and Blood Institute grants (R01HL148565, R01HL148050, R01HL142711); has received grant support from Amgen, Apple, and Boston Scientific; and has served as a scientific advisor to Apple and Blackstone Life Sciences. Dr. Januzzi is supported by the Hutter Family Professorship, is a Trustee of the American College of Cardiology, has received grant support from Novartis Pharmaceuticals and Abbott Diagnostics, consulting income from Abbott, Janssen, Jana Care, Novartis, Prevencio, and Roche Diagnostics, and participates in clinical endpoint committees/data safety monitoring boards for Abbott, AbbVie, Amgen, Bayer, CVRx, Janssen, and Takeda. Dr. Hibbert receives grant support from the National Heart, Lung and Blood Institute (RO1-AI138999-01, UO1-HL123022-06). The remaining authors have no relevant conflicts of interest to disclose. Ethics Approval Statement: The study was approved by the Partners Healthcare Institutional Review Board and informed consent was waived based on secondary use of data from medical record review.

Wetlands in arid landscapes provide critical habitat for millions of migratory waterbirds across the world and throughout their annual cycle. The scope and scale of understanding avian use of these wetlands in conjunction with changes in climate are daunting yet critical to address lest we lose continent-wide migratory pathways. Here, we assess changes in waterbird use of North America’s Pacific Flyway in the Great Basin by examining water availability and climate trends over the past 100 years. We found recent (1980–2015) climate warming has significantly reduced the amount and shifted seasonality of water flowing into wetlands. Further, we found remarkable changes in waterbird species composition over time. We propose that a reduced hydroperiod and lower water quality from reduction in water level and flow limits sites used by waterbirds. These factors reduce chick survivorship as they cannot metabolize saline water, which makes suitable freshwater conditions a limiting resource. Collectively, climate-induced changes in Great Basin wetlands suggest a major shift in freshwater ecosystems, resulting in degradation of a continental migratory route. This work illustrates the importance of examining multi-scale changes in critical regional resources to understand their impact across a hemispheric flyway and provides a model to examine other flyways.

Introduction: myocarditis is a potentially fatal complication of immune checkpoint inhibitors (ICI). While corticosteroids are the cornerstones of the treatment, there are no data to guide the dose and timing. Methods: from an international registry of patients with ICI myocarditis diagnosed between 2013 and 2019, data on the type, dose (in methylprednisolone equivalent dose) and timing of steroids were extracted. Major cardiovascular events (MACE) were a composite of cardiovascular death, cardiogenic shock, cardiac arrest, and hemodynamically-significant complete heart block. Results: in total, 143 ICI myocarditis patients (67±13 years old, 29% women) were included. Among them, 125 received corticosteroids (87%), with the initial agent being either methylprednisolone (95, 76%), prednisone (25, 20%), hydrocortisone (2, 1.6%) or dexamethasone (3, 2.4%). The rates of overall MACE (by admission time tertile 1: 45.8%, tertile 2: 43.8%, tertile 3: 38.3%, P=0.746) and individual elements of MACE were unchanged from 2013 to 2019. The initial corticosteroid dose was categorized as low (500mg). There was an inverse relationship between the occurrence of MACE and initial dose of corticosteroid, where MACE declined with increasing doses (low 61.9%, intermediate 54.6%, high 20.4%, P72 hours (85.7%, P

Left ventricular (LV) thrombus is a feared complication of LV dysfunction associated with high rates of systemic embolism, morbidity, and mortality. Traditionally, LV thrombus has been associated with acute myocardial infarction (MI). However, with improvements in percutaneous coronary intervention

Although the concept of myocardial infarction (MI) occurring in the absence of coronary thrombus was first identified in 1939, it was 2007 before the term type 2 MI , referring to infarctions related to supply–demand imbalance, was first introduced into clinical practice [(1)][1]. Since then, our

Author(s): Zhang, Lili; Awadalla, Magid; Mahmood, Syed S; Nohria, Anju; Hassan, Malek Z O; Thuny, Franck; Zlotoff, Daniel A; Murphy, Sean P; Stone, James R; Golden, Doll Lauren Alexandra; Alvi, Raza M; Rokicki, Adam; Jones-O'Connor, Maeve; Cohen, Justine V; Heinzerling, Lucie M; Mulligan, Connor; Armanious, Merna; Barac, Ana; Forrestal, Brian J; Sullivan, Ryan J; Kwong, Raymond Y; Yang, Eric H; Damrongwatanasuk, Rongras; Chen, Carol L; Gupta, Dipti; Kirchberger, Michael C; Moslehi, Javid J; Coelho-Filho, Otavio R; Ganatra, Sarju; Rizvi, Muhammad A; Sahni, Gagan; Tocchetti, Carlo G; Mercurio, Valentina; Mahmoudi, Michael; Lawrence, Donald P; Reynolds, Kerry L; Weinsaft, Jonathan W; Baksi, A John; Ederhy, Stephane; Groarke, John D; Lyon, Alexander R; Fradley, Michael G; Thavendiranathan, Paaladinesh; Neilan, Tomas G | Abstract: Myocarditis is a potentially fatal complication of immune checkpoint inhibitors (ICI). Sparse data exist on the use of cardiovascular magnetic resonance (CMR) in ICI-associated myocarditis. In this study, the CMR characteristics and the association between CMR features and cardiovascular events among patients with ICI-associated myocarditis are presented.From an international registry of patients with ICI-associated myocarditis, clinical, CMR, and histopathological findings were collected. Major adverse cardiovascular events (MACE) were a composite of cardiovascular death, cardiogenic shock, cardiac arrest, and complete heart block. In 103 patients diagnosed with ICI-associated myocarditis who had a CMR, the mean left ventricular ejection fraction (LVEF) was 50%, and 61% of patients had an LVEF ≥50%. Late gadolinium enhancement (LGE) was present in 48% overall, 55% of the reduced EF, and 43% of the preserved EF cohort. Elevated T2-weighted short tau inversion recovery (STIR) was present in 28% overall, 30% of the reduced EF, and 26% of the preserved EF cohort. The presence of LGE increased from 21.6%, when CMR was performed within 4 days of admission to 72.0% when CMR was performed on Day 4 of admission or later. Fifty-six patients had cardiac pathology. Late gadolinium enhancement was present in 35% of patients with pathological fibrosis and elevated T2-weighted STIR signal was present in 26% with a lymphocytic infiltration. Forty-one patients (40%) had MACE over a follow-up time of 5 months. The presence of LGE, LGE pattern, or elevated T2-weighted STIR were not associated with MACE.These data suggest caution in reliance on LGE or a qualitative T2-STIR-only approach for the exclusion of ICI-associated myocarditis.

The Global Registry of Acute Coronary Events (GRACE) and Thrombolysis In Myocardial Infarction (TIMI) risk scores are validated to predict risk of adverse outcomes among patients with type 1 myocardial infarction (MI). Type 2 MI (T2MI) is common and is associated with significant mortality, yet the

It has long been observed that heart failure (HF) is associated with measures of systemic inflammation. In recent years, there have been significant advancements in our understanding of how inflammation contributes to the pathogenesis and progression of HF. However, although numerous studies have validated the association between measures of inflammation and HF severity and prognosis, clinical trials of anti-inflammatory therapies have proven mostly unsuccessful. On this backdrop emerges the yet unmet goal of targeting precise phenotypes within the syndrome of HF; if such precise definitions can be realized, and with better understanding of the roles played by specific inflammatory mediators, the expectation is that targeted anti-inflammatory therapies may improve prognosis in patients whose HF is driven by inflammatory pathobiology. Here, the authors describe mechanistic links between inflammation and HF, discuss traditional and novel inflammatory biomarkers, and summarize the latest evidence from clinical trials of anti-inflammatory therapies.

Accurate, precise, and timely estimation of crop yield is key to a grower’s ability to proactively manage crop growth and predict harvest logistics. Such yield predictions typically are based on multi-parametric models and in-situ sampling. Here we investigate the extension of a greenhouse study, to low-altitude unmanned aerial systems (UAS). Our principal objective was to investigate snap bean crop (Phaseolus vulgaris) yield using imaging spectroscopy (hyperspectral imaging) in the visible to near-infrared (VNIR; 400–1000 nm) region via UAS. We aimed to solve the problem of crop yield modelling by identifying spectral features explaining yield and evaluating the best time period for accurate yield prediction, early in time. We introduced a Python library, named Jostar, for spectral feature selection. Embedded in Jostar, we proposed a new ranking method for selected features that reaches an agreement between multiple optimization models. Moreover, we implemented a well-known denoising algorithm for the spectral data used in this study. This study benefited from two years of remotely sensed data, captured at multiple instances over the summers of 2019 and 2020, with 24 plots and 18 plots, respectively. Two harvest stage models, early and late harvest, were assessed at two different locations in upstate New York, USA. Six varieties of snap bean were quantified using two components of yield, pod weight and seed length. We used two different vegetation detection algorithms. the Red-Edge Normalized Difference Vegetation Index (RENDVI) and Spectral Angle Mapper (SAM), to subset the fields into vegetation vs. non-vegetation pixels. Partial least squares regression (PLSR) was used as the regression model. Among nine different optimization models embedded in Jostar, we selected the Genetic Algorithm (GA), Ant Colony Optimization (ACO), Simulated Annealing (SA), and Particle Swarm Optimization (PSO) and their resulting joint ranking. The findings show that pod weight can be explained with a high coefficient of determination (R2 = 0.78–0.93) and low root-mean-square error (RMSE = 940–1369 kg/ha) for two years of data. Seed length yield assessment resulted in higher accuracies (R2 = 0.83–0.98) and lower errors (RMSE = 4.245–6.018 mm). Among optimization models used, ACO and SA outperformed others and the SAM vegetation detection approach showed improved results when compared to the RENDVI approach when dense canopies were being examined. Wavelengths at 450, 500, 520, 650, 700, and 760 nm, were identified in almost all data sets and harvest stage models used. The period between 44–55 days after planting (DAP) the optimal time period for yield assessment. Future work should involve transferring the learned concepts to a multispectral system, for eventual operational use; further attention should also be paid to seed length as a ground truth data collection technique, since this yield indicator is far more rapid and straightforward.

Background: Sacubitril/valsartan (S/V) treatment is associated with reverse cardiac remodeling and reductions in biomarkers reflecting ventricular wall stress and myocardial injury, such as NT-proB...

The conservation of a species is reliant on identifying threats to critical vital rates such as survival and dispersal. Accurate estimates of these vital rates and the factors that affect them can be used to better manage populations. The USA Atlantic Coast population of American Oystercatchers (Haematopus palliatus) benefits from a large-scale conservation effort, but this long-lived species remains especially sensitive to fluctuations in adult survival. The model used here and 8 years of mark-resight data from three breeding populations with varying migration strategies from the United States (migratory: Massachusetts and New Jersey; non-migratory: South Carolina) were used to estimate adult survival and site fidelity. Results indicated a resident population in South Carolina with 100% of the breeding population wintering in that State, a migratory population in Massachusetts with the majority of individuals wintering in Florida (42%), and a partially migratory population in New Jersey with a ...

Introduction Sacubitril/valsartan (S/V) promotes reverse cardiac remodeling in patients with HFrEF. Neprilysin inhibition results in increase of several vasoactive peptides that may mediate effects of S/V, however its effects on atrial natriuretic peptide (ANP) are largely unknown. Effects of ANP are mediated by cyclic guanosine monophosphate (cGMP). Hypothesis Longitudinal change in ANP concentration following initiation of S/V is associated with reverse cardiac remodeling. Methods Within a prospective open-label study of initiation and titration of S/V in patients with HFrEF, this pre-specified sub-study included patients in whom ANP was measured from samples collected in protease inhibitors to minimize its degradation. Concentrations of ANP and cGMP were measured at baseline and serially through 12 months of treatment. Echocardiographic assessment of LVEF and left atrial volume index (LAVi) was performed at baseline, 6 and 12 months. Results Among 144 participants (mean age 64.5 years; LVEF 30.8%), median ANP concentration at baseline was 102 pg/mL. Following initiation of S/V, ANP increased steeply and consistently during the first 2 months, with a significant increase in log-transformed ANP concentration at Day 14 (from 4.60 pg/mL to 5.05 pg/mL; Δ = 0.453; P Conclusions Concentrations of ANP increase substantially after initiation of S/V in patients with HFrEF. Larger early increases in ANP after S/V initiation were associated with greater magnitude of reverse cardiac remodeling (PROVE-HF; NCT02887183).

Farmers and growers typically use approaches based on the crop environment and local meteorology, many of which are labor-intensive, to predict crop yield. These approaches have found broad acceptance but lack real-time and physiological feedback for near-daily management purposes. This is true for broad-acre crops, such as snap bean, which is valued at hundreds of millions of dollars in the annual agricultural market. We aim to investigate the relationships between snap bean yield and plant spectral and biophysical information, collected using a hyperspectral spectroradiometer (400 to 2500 nm). The experiment focused on 48 single snap bean plants (cv. Huntington) in a controlled greenhouse environment during the growth period (69 days). We used applicable accuracy and precision metrics from partial least squares regression and cross-validation methods to evaluate the predictive ability of two harvest stages, namely an early-harvest and late-harvest stage, against our yield indicator (bean pod weight). Four different spectral data sets were used to investigate whether such oversampled, hyperspectral data sets could accurately and precisely model observed variability in yield, in terms of the coefficient of determination (R2) and root-mean-square error (RMSE). The objective of our approach hinges on the philosophy that selected spectral bands from this study, i.e., those that best explain yield variability, can be downsampled from a hyperspectral system for use in a more cost-effective, operational multispectral sensor. Our results suggested the optimal period for spectral evaluation of snap bean yield is 20 to 25 or 32 days prior to harvest for the early- and late-harvest stages, respectively, with the best model performing at a low RMSE (3.02 g plant − 1) and a high coefficient of determination (R2 = 0.72). An unmanned aerial systems-mounted, affordable, and wavelength-programmable multispectral imager, with bands corresponding to those identified, could provide a near real-time and reliable yield estimate prior to harvest.

Type 2 myocardial infarction (T2MI) is recognized as a frequent cause of myocardial injury and is associated with a grave prognosis; 20% of patients will not survive beyond 1 year [(1)][1]. However, little is known about treatment patterns and prognosis among subgroups of T2MI patients. Women with

Background Influenza vaccination (FV) is recommended for patients with cancer. Recent data suggested that the administration of the FV was associated with an increase in immune-related adverse events (irAEs) among patients on immune checkpoint inhibitors (ICIs). Myocarditis is an uncommon but serious complication of ICIs and may also result from infection with influenza. There are no data testing the relationship between FV and the development of myocarditis on ICIs. Methods Patients on ICIs who developed myocarditis (n = 101) (cases) were compared to ICI-treated patients (n = 201) without myocarditis (controls). A patient was defined as having the FV if they were administered the FV from 6 months prior to start of ICI to anytime during ICI therapy. Alternate thresholds for FV status were also tested. The primary comparison of interest was the rate of FV between cases and controls. Patients with myocarditis were followed for major adverse cardiac events (MACE), defined as the composite of cardiogenic shock, cardiac arrest, hemodynamically significant complete heart block and cardiovascular death. Results The FV was administered to 25% of the myocarditis cases compared to 40% of the non-myocarditis ICI-treated controls (p = 0.01). Similar findings of lower rates of FV administration were noted among myocarditis cases when alternate thresholds were tested. Among the myocarditis cases, those who were vaccinated had 3-fold lower troponin levels when compared to unvaccinated cases (FV vs. No FV: 0.12 [0.02, 0.47] vs. 0.40 [0.11, 1.26] ng/ml, p = 0.02). Within myocarditis cases, those administered the FV also had a lower rate of other irAEs when compared to unvaccinated cases (36 vs. 55% p = 0.10) including lower rates of pneumonitis (12 vs. 36%, p = 0.03). During follow-up (175 [IQR 89, 363] days), 47% of myocarditis cases experienced a MACE. Myocarditis cases who received the FV were at a lower risk of cumulative MACE when compared to unvaccinated cases (24 vs. 59%, p = 0.002). Conclusion The rate of FV among ICI-related myocarditis cases was lower than controls on ICIs who did not develop myocarditis. In those who developed myocarditis related to an ICI, there was less myocardial injury and a lower risk of MACE among those who were administered the FV. Electronic supplementary material The online version of this article (10.1186/s40425-019-0535-y) contains supplementary material, which is available to authorized users.