Left atrial strain is reduced following trastuzumab in breast cancer patients.

BACKGROUND: The effect of trastuzumab therapy on left atrial (LA) function remains largely unknown. Our aim was to assess the changes in LA strain parameters longitudinally in patients treated with trastuzumab. METHODS: We retrospectively studied 170 patients with stage I-IV HER2+ breast cancer. All patients had baseline echocardiograms and repeat echocardiograms at 3 months and after 1 year. We measured LA strain at all three time points. Changes in LA strain and strain rate (sr) parameters were evaluated using repeated-measures mixed-effects models. The cohort was stratified according to development of cancer therapeutics-related cardiac dysfunction (CTRCD) during follow-up. RESULTS: The mean age was 52.7 ± 13.8 years, 25.3% had hypertension and 16.0% had metastatic disease. Multiple LA strain parameters (predicted delta value, [95%CI]) showed statistically significant declines in patients who developed CTRCD from baseline to the 3-month follow-up after multivariable adjustment; LA reservoir strain (LAεres ): -4.7%; [-8.1% to -1.3%], p = .007; LA conduit strain (LAεcon ): -2.8%; [-5.3% to -.4%], p = .021); and LAεres sr: -.2/s; [-.3/s to -.09/s], p < .001). In patients who did not develop CTRCD, LA strain parameters declined significantly but to a smaller degree than in the CTRCD group (LAεres : -1.7%; [-3.1% to -.3%], p = .020, LAεcon : -2.2%; [-3.3% to -1.1%], p < .001, and LA booster pump strain : -2.4%; [-3.5% to -1.4%], p < .001). LA strain rates did not decline significantly in the non-CTRCD group. CONCLUSION: Trastuzumab treatment was associated with declines in LA strain parameters in patients with breast cancer. The largest declines were observed in patients who developed CTRCD during treatment.

Reduced Exercise Capacity, Chronotropic Incompetence, and Early Systemic Inflammation in Cardiopulmonary Phenotype Long Coronavirus Disease 2019.

BACKGROUND: Mechanisms underlying persistent cardiopulmonary symptoms after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (postacute sequelae of coronavirus disease 2019 [COVID-19; PASC] or "long COVID") remain unclear. This study sought to elucidate mechanisms of cardiopulmonary symptoms and reduced exercise capacity. METHODS: We conducted cardiopulmonary exercise testing (CPET), cardiac magnetic resonance imaging (CMR) and ambulatory rhythm monitoring among adults >1 year after SARS-CoV-2 infection, compared those with and those without symptoms, and correlated findings with previously measured biomarkers. RESULTS: Sixty participants (median age, 53 years; 42% female; 87% nonhospitalized; median 17.6 months after infection) were studied. At CPET, 18/37 (49%) with symptoms had reduced exercise capacity (<85% predicted), compared with 3/19 (16%) without symptoms (P = .02). The adjusted peak oxygen consumption (VO2) was 5.2 mL/kg/min lower (95% confidence interval, 2.1-8.3; P = .001) or 16.9% lower percent predicted (4.3%-29.6%; P = .02) among those with symptoms. Chronotropic incompetence was common. Inflammatory markers and antibody levels early in PASC were negatively correlated with peak VO2. Late-gadolinium enhancement on CMR and arrhythmias were absent. CONCLUSIONS: Cardiopulmonary symptoms >1 year after COVID-19 were associated with reduced exercise capacity, which was associated with earlier inflammatory markers. Chronotropic incompetence may explain exercise intolerance among some with "long COVID."

Electrocardiogram Detection of Pulmonary Hypertension Using Deep Learning.

BACKGROUND: Pulmonary hypertension (PH) is life-threatening, and often diagnosed late in its course. We aimed to evaluate if a deep learning approach using electrocardiogram (ECG) data alone can detect PH and clinically important subtypes. We asked: does an automated deep learning approach to ECG interpretation detect PH and its clinically important subtypes? METHODS AND RESULTS: Adults with right heart catheterization or an echocardiogram within 90 days of an ECG at the University of California, San Francisco (2012-2019) were retrospectively identified as PH or non-PH. A deep convolutional neural network was trained on patients' 12-lead ECG voltage data. Patients were divided into training, development, and test sets in a ratio of 7:1:2. Overall, 5016 PH and 19,454 patients without PH were used in the study. The mean age at the time of ECG was 62.29 ± 17.58 years and 49.88% were female. The mean interval between ECG and right heart catheterization or echocardiogram was 3.66 and 2.23 days for patients with PH and patients without PH, respectively. In the test dataset, the model achieved an area under the receiver operating characteristic curve, sensitivity, and specificity, respectively of 0.89, 0.79, and 0.84 to detect PH; 0.91, 0.83, and 0.84 to detect precapillary PH; 0.88, 0.81, and 0.81 to detect pulmonary arterial hypertension, and 0.80, 0.73, and 0.76 to detect group 3 PH. We additionally applied the trained model on ECGs from participants in the test dataset that were obtained from up to 2 years before diagnosis of PH; the area under the receiver operating characteristic curve was 0.79 or greater. CONCLUSIONS: A deep learning ECG algorithm can detect PH and PH subtypes around the time of diagnosis and can detect PH using ECGs that were done up to 2 years before right heart catheterization/echocardiogram diagnosis. This approach has the potential to decrease diagnostic delays in PH.

The Cardiac Amyloidosis Registry Study (CARS): Rationale, Design and Methodology.

BACKGROUND: CARS (Cardiac Amyloidosis Registry Study) is a multicenter registry established in 2019 that includes patients with transthyretin (ATTR, wild-type and variant) and light chain (AL) cardiac amyloidosis (CA) evaluated at major amyloidosis centers between 1997 and 2025. CARS aims to describe the natural history of CA with attention to clinical and diagnostic variables at the time of diagnosis, real-world treatment patterns, and associated outcomes of patients in a diverse cohort that is more representative of the at-risk population than that described in CA clinical trials. METHODS AND RESULTS: This article describes the design and methodology of CARS, including procedures for data collection and preliminary results. As of February 2023, 20 centers in the United States enrolled 1415 patients, including 1155 (82%) with ATTR and 260 (18%) with AL CA. Among those with ATTR, wild-type is the most common ATTR (71%), and most of the 305 patients with variant ATTR have the p.V142I mutation (68%). A quarter of the total population identifies as Black. More individuals with AL are female (39%) compared to those with ATTR (13%). CONCLUSIONS: CARS will answer crucial clinical questions about CA natural history and permit comparison of different therapeutics not possible through current clinical trials. Future international collaboration will further strengthen the validity of observations of this increasingly recognized condition.

Post-transplant ejection fraction and renal failure in cardiac transplant recipients: An analysis of the OPTN database.

BACKGROUND: Despite improved life expectancy from a heart transplant, transplant recipients remain at high risk for renal dysfunction and failure, including end-stage kidney disease (ESKD). The onset of ESKD is a poor prognostic marker and is associated with increased mortality in this setting, as in others. There is a need to identify risk factors for ESKD among heart transplant recipients in contemporary settings. METHODS: We conducted an analysis of adult heart transplant recipients transplanted between 2008 and 2021 in the Organ Procurement and Transplantation Network database. 22 737 adult recipients of heart transplants alone were included in this analysis. We examined LVEF measured 1 year after transplant, and LVEF updated annually for association with ESKD using multivariate Cox regression models. RESULTS: LVEF at 1-year after transplant was associated with ESKD in multivariate models (Hazard Ratio 1.33 per 10-unit decrease, 95% CI 1.23-1.43, p < .001). In multivariate models using categorized LVEF, mildly reduced ejection fraction (EF 40%-50%) was associated with ESKD (HR 1.76, 95% CI 1.45-2.14, p < .001), as was reduced ejection fraction (EF < 40%, HR 2.86, 95% CI 2.01-4.07, p < .001), relative to individuals with preserved ejection fraction (EF > 50%). These associations were consistent when using annually updated ejection fraction. CONCLUSIONS: Post-transplant left ventricular ejection fraction has value in predicting end stage kidney disease among adults who receive heart transplants alone. LVEF is routinely measured as part of contemporary post heart transplant care, and a diminished LVEF should signal to clinicians that a recipient is at increased risk of renal failure.

Safety and efficacy of RT234 vardenafil inhalation powder on exercise parameters in pulmonary arterial hypertension: phase II, dose-escalation study design.

BACKGROUND: Pulmonary arterial hypertension (PAH) is a progressive disease characterized by high mean pulmonary arterial pressure (≥ 20 mmHg) and remodeling of the vascular arteries. Approved therapies improve symptoms and delay clinical worsening in the long term, but they do not relieve acute exertional symptoms. RT234, a drug/device combination (Respira Therapeutics, Palo Alto, CA, USA) that delivers the phosphodiesterase 5 inhibitor vardenafil to the lungs via inhalation, has been shown to reduce pulmonary vascular resistance in patients with PAH. This study aims to evaluate whether RT234 can increase oxygen capacity during cardiopulmonary exercise testing (CPET) in patients with PAH. METHODS: This prospective, multi-center, open-label, two-cohort, dose-escalation, phase IIb trial in patients with PAH will evaluate the safety and efficacy of RT234 in improving exercise parameters. The trial began in September 2020 and is expected to be completed by early 2024. Patients eligible for enrollment will have a right heart catheterization-confirmed diagnosis of PAH, a 6-minute walking distance of ≥ 150 m, a minute ventilation/carbon dioxide production slope of ≥ 36, and will be on up to three stable oral and/or inhaled (not parenteral) PAH-specific background therapies. The estimated sample size is 86 patients, who will be divided into two dose cohorts. Cohort 1 will receive 0.5 mg RT234, and cohort 2 will receive 1.0 mg RT234. Each cohort will contain two subgroups based on the number of PAH background medications (up to two vs three). The trial will assess patients' changes from baseline in peak oxygen consumption (VO2) during CPET 30 minutes after a single dose of 0.5 mg or 1.0 mg RT234, the change in the 6-minute walking distance, and the pharmacokinetics and safety profile of single doses of RT234. CONCLUSION: This is the first trial involving an as-needed medication for PAH. The trial will provide insights into the safety and efficacy of as-needed RT234 in treating the acute symptoms of PAH during exercise and will inform the design of further trials. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov identifier NCT04266197.

Anthracyclines in a patient with acute leukemia and severe cardiomyopathy requiring mechanical support: A case report.

INTRODUCTION: For young adult patients with acute leukemia, both the efficacy and cardiotoxicity of anthracycline-based regimens have been documented. We report the case of a patient with severe cardiomyopathy, mechanically supported by a left ventricular assist device (LVAD), who subsequently developed Philadelphia-chromosome positive acute lymphoblastic leukemia (Ph + ALL). To our knowledge, this is the first report of anthracycline administration in a patient with heart failure requiring mechanical support. CASE REPORT: Our 27-year-old female patient was diagnosed with Ph + B-ALL as part of workup for leukocytosis. Past medical history included non-ischemic cardiomyopathy with a left ventricular ejection fraction of 30-35% and moderate-severe right ventricular dysfunction, for which LVAD had been placed 4 years previously. MANAGEMENT & OUTCOME: After shared decision-making and multidisciplinary discussions, we felt that hyperfractionated cyclophosphamide, doxorubicin, vincristine, and dexamethasone alternating with cytarabine and high-dose methotrexate in addition to ponatinib (HyperCVAD-ponatinib) best balanced the patient's goals for aggressive treatment with the potential for rapid and durable remissions. The patient received a single reduced dose of doxorubicin alongside dexrazoxane with her first cycle of HyperCVAD-ponatinib. She attained a complete molecular response 22 days later and remains in remission (with stable cardiac function) 30 months later on maintenance therapy. DISCUSSION: In conclusion, LVAD placement is not an absolute contra-indication to anthracyclines if such therapies offer the best opportunity for a durable response.

Mechanisms and clinical manifestations of cardiovascular toxicities associated with immune checkpoint inhibitors.

Immunotherapies have greatly expanded the armamentarium of cancer-directed therapies in the past decade, allowing the immune system to recognize and fight cancer. Immune checkpoint inhibitors (ICIs), in particular, have revolutionized cancer treatment and have demonstrated survival benefit in numerous types of cancer. These monoclonal antibodies increase anti-cancer immunity by blocking down-regulators of adaptive immunity, including cytotoxic T lymphocyte-associated protein 4 (CTLA-4), programmed cell death protein 1 (PD-1), and its ligand (PD-L1), resulting in anti-tumor activity. As ICIs increase immune system activation, they can cause a wide range of inflammatory side effects, termed immune-released adverse events. Though these toxicities can affect nearly any organ, the most fatal toxicity is myocarditis. Here, we discuss the diverse spectrum of cardiovascular toxicities associated with ICI use. In addition, we provide insight and future directions on mechanisms and treatments for immune-related adverse events (irAEs) involving the myocardium, pericardium, vasculature, and conduction system.

Heart-lung transplantation: A viable option for connective tissue diseases.

BACKGROUND: While lung transplantation (LTx) has been effective for connective tissue disease (CTD) patients with pulmonary involvement, outcomes for heart-lung transplantation (HLTx) are less defined. The aim of this study is to evaluate HLTx in CTD patients utilizing the UNOS database. METHODS: HLTx patients with CTD (HLTx-CTD) were compared to both LTx patients with CTD (LTx-CTD) and HLTx patients with all other indications (HLTx-OI) from 1999 to 2018. Primary outcome was 1- and 5-year graft survival. Secondary outcomes included freedom from first-year rejection and outcomes prior to transplant discharge. RESULTS: 1143/29 323 adults received first-time HLTx or LTx for CTD. Seventeen were HLTx-CTD (3.3% of total HLTx) and 1126 were LTx-CTD (3.9% of total LTx). There were 492 HLTx-OI. Transplant hemodynamic values including cardiac output, pulmonary capillary wedge pressure, and calculated pulmonary vascular resistance were significantly worse for HLTx-CTD vs LTx-CTD (4.2 vs 5.4 L/min, P = .005; 14 vs 10 mm Hg, P = .009; 439 vs 267 dynes, P = .007, respectively). Cardiac status 1 was more common for HLTx-CTD vs HLTx-OI (94% vs 56%, P < .001). HLTx-CTD 1 and 5-year graft survival was similar compared to LTx-CTD and HLTx-OI. CONCLUSION: HLTx-CTD is a valid option for carefully selected patients with CTD cardiac and pulmonary involvement with similar morbidity and mortality compared to LTx-CTD and HLTx-OI.

Fully Automated Echocardiogram Interpretation in Clinical Practice.

BACKGROUND: Automated cardiac image interpretation has the potential to transform clinical practice in multiple ways, including enabling serial assessment of cardiac function by nonexperts in primary care and rural settings. We hypothesized that advances in computer vision could enable building a fully automated, scalable analysis pipeline for echocardiogram interpretation, including (1) view identification, (2) image segmentation, (3) quantification of structure and function, and (4) disease detection. METHODS: Using 14 035 echocardiograms spanning a 10-year period, we trained and evaluated convolutional neural network models for multiple tasks, including automated identification of 23 viewpoints and segmentation of cardiac chambers across 5 common views. The segmentation output was used to quantify chamber volumes and left ventricular mass, determine ejection fraction, and facilitate automated determination of longitudinal strain through speckle tracking. Results were evaluated through comparison to manual segmentation and measurements from 8666 echocardiograms obtained during the routine clinical workflow. Finally, we developed models to detect 3 diseases: hypertrophic cardiomyopathy, cardiac amyloid, and pulmonary arterial hypertension. RESULTS: Convolutional neural networks accurately identified views (eg, 96% for parasternal long axis), including flagging partially obscured cardiac chambers, and enabled the segmentation of individual cardiac chambers. The resulting cardiac structure measurements agreed with study report values (eg, median absolute deviations of 15% to 17% of observed values for left ventricular mass, left ventricular diastolic volume, and left atrial volume). In terms of function, we computed automated ejection fraction and longitudinal strain measurements (within 2 cohorts), which agreed with commercial software-derived values (for ejection fraction, median absolute deviation=9.7% of observed, N=6407 studies; for strain, median absolute deviation=7.5%, n=419, and 9.0%, n=110) and demonstrated applicability to serial monitoring of patients with breast cancer for trastuzumab cardiotoxicity. Overall, we found automated measurements to be comparable or superior to manual measurements across 11 internal consistency metrics (eg, the correlation of left atrial and ventricular volumes). Finally, we trained convolutional neural networks to detect hypertrophic cardiomyopathy, cardiac amyloidosis, and pulmonary arterial hypertension with C statistics of 0.93, 0.87, and 0.85, respectively. CONCLUSIONS: Our pipeline lays the groundwork for using automated interpretation to support serial patient tracking and scalable analysis of millions of echocardiograms archived within healthcare systems.

Noninvasive estimation of pulmonary vascular resistance improves portopulmonary hypertension screening in liver transplant candidates.

Despite limitations in sensitivity and specificity, estimation of the pulmonary artery systolic pressure (ePASP) on echocardiography is used for portopulmonary hypertension (PoPH) screening in liver transplant (LT) candidates. We proposed that alternative echocardiographic models, such as estimated pulmonary vascular resistance (ePVR), may provide improved testing characteristics in PoPH screening. In a retrospective analysis of 100 LT candidates, we found that the formula ePVR = ePASP/VTIRVOT  + 3 if MSN (VTIRVOT  = right ventricular outflow tract time velocity integral; MSN = mid-systolic notching of the VTIRVOT Doppler signal) significantly improves accuracy of PoPH screening compared to ePASP. We determined the optimal ePVR cutoff for PoPH screening to be 2.76 Wood units, as this cutoff provided 100% sensitivity and 73% specificity in screening for clinically significant PoPH. Comparatively, ePASP at a cutoff of 40 mm Hg provided 91% sensitivity and 48% specificity. We devised a new screening algorithm based on the use of ePVR at intermediate ePASP values (35-54 mm Hg), and we confirmed the testing characteristics of this algorithm in a separate validation cohort of 50 LT candidates. In screening LT candidates for PoPH, the ePASP lacks accuracy, leading to unnecessary RHCs and undiagnosed cases of PoPH. A screening algorithm which incorporates the ePVR may be more reliable.

Pulmonary Hypertension Due to Left Heart Disease: an Update.

PURPOSE OF REVIEW: Pulmonary hypertension (PH) frequently complicates heart failure and portends a worse prognosis. This review will summarize and discuss recent updates in the classification and management of patients with PH due to left heart disease. RECENT FINDINGS: Careful hemodynamic assessment is critical to the classification of patients with PH and heart failure. Two hemodynamic subgroups of PH in heart failure patients have been described: isolated post-capillary pulmonary hypertension and combined post- and precapillary pulmonary hypertension. The cornerstone in management of PH due to left heart disease is the treatment of the underlying left heart pathology; however, ongoing trials have been designed to test pulmonary vasodilators in this cohort. PH-specific therapies have not demonstrated a benefit in patients with pulmonary hypertension due to left heart disease. Understanding the distinct pathobiology of each hemodynamic subgroup may lead to the development of useful biomarkers and effective targeted therapies.

Automated Assessment of Right Atrial Pressure From Ultrasound Videos Using Machine Learning.

Background: Early recognition of volume overload is essential for heart failure patients. Volume overload can often be easily treated if caught early but causes significant morbidity if unrecognized and allowed to progress. Intravascular volume status can be assessed by ultrasound-based estimation of right atrial pressure (RAP), but the availability of this diagnostic modality is limited by the need for experienced physicians to accurately interpret these scans. Objectives: We sought to evaluate whether machine learning can accurately estimate echocardiogram-measured RAP. Methods: We developed fully automated deep learning models for identifying inferior vena cava scans with rapid inspiration in echocardiogram studies and estimating RAP from those scans. The RAP estimation model was trained and evaluated using 15,828 ultrasound videos of the inferior vena cava and coupled cardiologist-assessed RAP estimates as well as 319 RAP measurements from right heart catheterization. Results: Our model agreed with cardiologist estimates 80.3% of the time (area under the receiver-operating characteristic of 0.844) in a test data set, at the upper end of interoperator agreement rates found in the literature of 70 to 75%. Our model's RAP estimates were statistically indistinguishable from cardiologists' ultrasound-based RAP estimates (P = 0.98) when compared against the gold standard of right heart catheterization RAP measurements in a subset of patients. Our model also generalized well to an external data set of echocardiograms from a different institution (area under the receiver-operating characteristic of 0.854 compared to cardiologist RAP estimates). Conclusions: Machine learning is capable of accurately and robustly interpreting RAP from echocardiogram videos. This algorithm could be used to perform automated assessments of intravascular volume status.

Association of SARS-CoV-2 Infection and Cardiopulmonary Long COVID with Exercise Capacity and Chronotropic Incompetence among People with HIV.

Background: Long COVID has been associated with reduced exercise capacity, but whether SARS-CoV-2 infection or Long COVID is associated with reduced exercise capacity among people with HIV (PWH) has not been reported. We hypothesized that PWH with cardiopulmonary post-acute symptoms of COVID-19 (PASC) would have reduced exercise capacity due to chronotropic incompetence. Methods: We conducted cross-sectional cardiopulmonary exercise testing within a COVID recovery cohort that included PWH. We evaluated associations of HIV, prior SARS-CoV-2 infection, and cardiopulmonary PASC with exercise capacity (peak oxygen consumption, VO 2 ) and adjusted heart rate reserve (AHRR, chronotropic measure) with adjustment for age, sex, and body mass index. Results: We included 83 participants (median age 54, 35% female). All 37 PWH were virally suppressed; 23 (62%) had prior SARS-CoV-2 infection, and 11 (30%) had PASC. Peak VO 2 was reduced among PWH (80% predicted vs 99%; p=0.005), a difference of 5.5 ml/kg/min (95%CI 2.7-8.2, p<0.001). Chronotropic incompetence more prevalent among PWH (38% vs 11%; p=0.002), and AHRR was reduced among PWH (60% vs 83%, p<0.0001). Among PWH, exercise capacity did not vary by SARS-CoV-2 coinfection, but chronotropic incompetence was more common among PWH with PASC: 3/14 (21%) without SARS-CoV-2, 4/12 (25%) with SARS-CoV-2 without PASC, and 7/11 (64%) with PASC (p=0.04 PASC vs no PASC). Conclusions: Exercise capacity and chronotropy are lower among PWH compared to SARS-CoV-2 infected individuals without HIV. Among PWH, SARS-CoV-2 infection and PASC were not strongly associated with reduced exercise capacity. Chronotropic incompetence may be a mechanism limiting exercise capacity among PWH.

Daratumumab Plus Bortezomib and Dexamethasone in Newly Diagnosed Systemic Light Chain Amyloidosis.

Light chain amyloidosis (AL) is a plasma cell dyscrasia characterized by organ dysfunction, morbidity, and early mortality. Daratumumab in combination with cyclophosphamide, bortezomib, and dexamethasone is now standard frontline AL therapy; however, not all patients are candidates for this intensive regimen. Given the potency of Daratumumab, we evaluated an alternative frontline regimen: daratumumab, bortezomib, and limited-duration dexamethasone (Dara-Vd). Over a 3 year period, we treated 21 patients with Dara-Vd. At baseline, all patients had cardiac and/or renal dysfunction, including 30% of patients with Mayo stage IIIB cardiac disease. Nineteen of 21 patients (90%) achieved a hematologic response with 38% achieving a complete response. The median time to response was 11 days. Ten of 15 (67%) evaluable patients achieved a cardiac response and 7 of 9 (78%) achieved a renal response. The 1-year overall survival was 76%. In untreated systemic AL amyloidosis, Dara-Vd produces rapid and deep hematologic and organ responses. Dara-Vd was well-tolerated and efficacious, even among patients with extensive cardiac dysfunction.

Association of SARS-CoV-2 Infection and Cardiopulmonary Long COVID With Exercise Capacity and Chronotropic Incompetence Among People With HIV.

Background Postacute sequelae of COVID-19 (PASC) and HIV are both associated with reduced exercise capacity, but whether SARS-CoV-2 or PASC are associated with exercise capacity among people with HIV (PWH) is unknown. We hypothesized that PWH with PASC would have reduced exercise capacity from chronotropic incompetence. Methods and Results We conducted cross-sectional cardiopulmonary exercise testing within a COVID recovery cohort that included PWH with and without prior SARS-CoV-2 infection and people without HIV with prior SARS-CoV-2 infection (controls). We evaluated associations of HIV, SARS-CoV-2, and PASC with exercise capacity (peak oxygen consumption) and chronotropy (adjusted heart rate reserve). We included 83 participants (median age, 54 years; 35% women; 37 PWH): 23 out of 37 (62%) PWH and all 46 controls had prior SARS-CoV-2 infection, and 11 out of 23 (48%) PWH and 28 out of 46 (61%) without HIV had PASC. Peak oxygen consumption was reduced among PWH versus controls (80% predicted versus 99%, P=0.005), a difference of 5.5 mL/kg per minute (95% CI, 2.7-8.2; P<0.001). Chronotropic incompetence was more prevalent among PWH (38% versus 11%, P=0.002), with lower adjusted heart rate reserve (60% versus 83%, P<0.0001) versus controls. Among PWH, SARS-CoV-2 coinfection and PASC were not associated with exercise capacity. Chronotropic incompetence was more common among PWH with PASC: 7 out of 11 (64%) with PASC versus 7 out of 26 (27%) without PASC (P=0.04). Conclusions Exercise capacity and chronotropy are lower among PWH compared with individuals with SARS-CoV-2 infection without HIV. Among PWH, SARS-CoV-2 infection and PASC were not strongly associated with reduced exercise capacity. Chronotropic incompetence may be a common underrecognized mechanism of exercise intolerance among PWH, especially those with cardiopulmonary PASC.

Reduced exercise capacity, chronotropic incompetence, and early systemic inflammation in cardiopulmonary phenotype Long COVID.

BACKGROUND: Mechanisms underlying persistent cardiopulmonary symptoms following SARS-CoV-2 infection (post-acute sequelae of COVID-19 "PASC" or "Long COVID") remain unclear. This study sought to elucidate mechanisms of cardiopulmonary symptoms and reduced exercise capacity using advanced cardiac testing. METHODS: We performed cardiopulmonary exercise testing (CPET), cardiac magnetic resonance imaging (CMR) and ambulatory rhythm monitoring among adults > 1 year after confirmed SARS-CoV-2 infection in Long-Term Impact of Infection with Novel Coronavirus cohort (LIINC; substudy of NCT04362150 ). Adults who completed a research echocardiogram (at a median 6 months after SARS-CoV-2 infection) without evidence of heart failure or pulmonary hypertension were asked to complete additional cardiopulmonary testing approximately 1 year later. Although participants were recruited as a prospective cohort, to account for selection bias, the primary analyses were as a case-control study comparing those with and without persistent cardiopulmonary symptoms. We also correlated findings with previously measured biomarkers. We used logistic regression and linear regression models to adjust for potential confounders including age, sex, body mass index, time since SARS-CoV-2 infection, and hospitalization for acute SARS-CoV-2 infection, with sensitivity analyses adjusting for medical history. RESULTS: Sixty participants (unselected for symptoms, median age 53, 42% female, 87% non- hospitalized) were studied at median 17.6 months following SARS-CoV-2 infection. On maximal CPET, 18/37 (49%) with symptoms had reduced exercise capacity (peak VO 2 <85% predicted) compared to 3/19 (16%) without symptoms (p=0.02). The adjusted peak VO 2 was 5.2 ml/kg/min (95%CI 2.1-8.3; p=0.001) or 16.9% lower actual compared to predicted (95%CI 4.3- 29.6; p=0.02) among those with symptoms compared to those without symptoms. Chronotropic incompetence was present among 12/21 (57%) with reduced VO 2 including 11/37 (30%) with symptoms and 1/19 (5%) without (p=0.04). Inflammatory markers (hsCRP, IL-6, TNF-α) and SARS-CoV-2 antibody levels measured early in PASC were negatively correlated with peak VO 2 more than 1 year later. Late-gadolinium enhancement on CMR and arrhythmias on ambulatory monitoring were not present. CONCLUSIONS: We found evidence of objectively reduced exercise capacity among those with cardiopulmonary symptoms more than 1 year following COVID-19, which was associated with elevated inflammatory markers early in PASC. Chronotropic incompetence may explain exercise intolerance among some with cardiopulmonary phenotype Long COVID. Key Points: Long COVID symptoms were associated with reduced exercise capacity on cardiopulmonary exercise testing more than 1 year after SARS-CoV-2 infection. The most common abnormal finding was chronotropic incompetence. Reduced exercise capacity was associated with early elevations in inflammatory markers.

Cardiopulmonary exercise testing to evaluate post-acute sequelae of COVID-19 ("Long COVID"): a systematic review and meta-analysis.

Importance: Reduced exercise capacity is commonly reported among individuals with Long COVID (LC). Cardiopulmonary exercise testing (CPET) is the gold-standard to measure exercise capacity to identify causes of exertional intolerance. Objectives: To estimate the effect of SARS-CoV-2 infection on exercise capacity including those with and without LC symptoms and to characterize physiologic patterns of limitations to elucidate possible mechanisms of LC. Data Sources: We searched PubMed, EMBASE, and Web of Science, preprint severs, conference abstracts, and cited references in December 2021 and again in May 2022. Study Selection: We included studies of adults with SARS-CoV-2 infection at least three months prior that included CPET measured peak VO 2 . 3,523 studies were screened independently by two blinded reviewers; 72 (2.2%) were selected for full-text review and 36 (1.2%) met the inclusion criteria; we identified 3 additional studies from preprint servers. Data Extraction and Synthesis: Data extraction was done by two independent reviewers according to PRISMA guidelines. Data were pooled with random-effects models. Main Outcomes and Measures: A priori primary outcomes were differences in peak VO 2 (in ml/kg/min) among those with and without SARS-CoV-2 infection and LC. Results: We identified 39 studies that performed CPET on 2,209 individuals 3-18 months after SARS-CoV-2 infection, including 944 individuals with LC symptoms and 246 SARS-CoV-2 uninfected controls. Most were case-series of individuals with LC or post-hospitalization cohorts. By meta-analysis of 9 studies including 404 infected individuals, peak VO 2 was 7.4 ml/kg/min (95%CI 3.7 to 11.0) lower among infected versus uninfected individuals. A high degree of heterogeneity was attributable to patient and control selection, and these studies mostly included previously hospitalized, persistently symptomatic individuals. Based on meta-analysis of 9 studies with 464 individuals with LC, peak VO 2 was 4.9 ml/kg/min (95%CI 3.4 to 6.4) lower compared to those without symptoms. Deconditioning was common, but dysfunctional breathing, chronotropic incompetence, and abnormal oxygen extraction were also described. Conclusions and Relevance: These studies suggest that exercise capacity is reduced after SARS-CoV-2 infection especially among those hospitalized for acute COVID-19 and individuals with LC. Mechanisms for exertional intolerance besides deconditioning may be multifactorial or related to underlying autonomic dysfunction.