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Background: Revision of a prior failed pectus excavatum (PE) repair is occasionally required. These procedures may be technically more complex and have a greater risk of complications. This study was performed to evaluate the outcomes of adult patients undergoing revision procedures. Methods: A retrospective review of adult patients who underwent revision of a prior PE repair from 2010 to 2023 at Mayo Clinic Arizona was performed. Patients were classified by prior procedure [minimally invasive repair of pectus excavatum (MIRPE), Open/Ravitch, and both] and the type of revision procedure performed [MIRPE, hybrid MIRPE, complex hybrid reconstruction, or complex reconstruction of acquired thoracic dystrophy (ATD)]. Outcomes and complications of these groups were analyzed and compared. Results: In total, 190 revision cases were included (mean age was 33±10 years; 72.6% males, mean Haller Index: 4.4±1.8). For the initial repair procedure, 90 (47.4%) patients had a previous MIRPE, 87 (45.8%) patients a prior open repair, and thirteen (6.8%) patients had both. Furthermore, 30 (15.8%) patients had two or more prior interventions. Patients having had a prior MIRPE were able to be repaired with a revision MIRPE in 82.2% of the cases. Conversely, patients with a prior open repair (including those who had both prior MIRPE and open repairs) were much more likely to require complex reconstructions (85%) as none of the ATD patients in this group had an attempted MIRPE. Operative times were shortest in the MIRPE redo approach and longest in the complex reconstruction of the ATD patients (MIRPE 3.5±1.3 hours, ATD 6.9±1.8 hours; P<0.001). The median length of hospital stay was 5 days [interquartile range (IQR), 3.0 days] with the shortest being the MIRPE approach and the longest occurring in the complex reconstruction of the ATD patients [MIRPE 4 days (IQR, 3.0 days); ATD 7 days (IQR, 4.0 days); P<0.001]. Major and minor complications were more frequent in the ATD complex reconstruction group. Preoperative chronic pain was present in over half of the patients (52.6%). Although resolution was seen in a significant number of patients, significant pain issues persisted in 8.8% of the patients postoperatively. Overall, persistent, long term chronic pain was greatest in the post open/Ravitch patient group (open 13.6% vs. MIRPE 3.6%, P=0.02). Conclusions: Revision of a prior failed PE repair can be technically complex with a high risk of complications, prolonged duration of surgery, and lengthy hospitalization. Chronic pain is prevalent and its failure to completely resolve after surgery is not uncommon. The initial failed repair will influence the type of procedure that can be performed and potentially subsequent complications. Even when some recurrences after previous PE surgeries can be repaired with acceptable results, this study demonstrates the importance of proper primary repair due to these increased risks.
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Background: Conduction abnormality post-transcatheter aortic valve implantation (TAVI) remains clinically significant and usually requires chronic pacing. The effect of right ventricular (RV) pacing post-TAVI on clinical outcomes warrants further studies. Methods: We identified 147 consecutive patients who required chronic RV pacing after a successful TAVI procedure and propensity-matched these patients according to the Society of Thoracic Surgeons (STS) risk score to a control group of patients that did not require RV pacing post-TAVI. We evaluated routine echocardiographic measurements and performed offline speckle-tracking strain analysis for the purpose of this study on transthoracic echocardiographic (TTE) images performed at 9 to 18 months post-TAVI. Results: The final study population comprised 294 patients (pacing group n = 147 and non-pacing group n = 147), with a mean age of 81 ± 7 years, 59% male; median follow-up was 354 days. There were more baseline conduction abnormalities in the pacing group compared to the non-pacing group (56.5% vs. 41.5%. p = 0.01). Eighty-eight patients (61.6%) in the pacing group required RV pacing due to atrioventricular (AV) conduction block post-TAVI. The mean RV pacing burden was 44% in the pacing group. Left ventricular ejection fraction (LVEF) was similar at follow-up in the pacing vs. non-pacing groups (57 ± 13.0%, 59 ± 11% p = 0.31); however, LV global longitudinal strain (-12.7 ± 3.5% vs. -18.8 ± 2.7%, p < 0.0001), LV apical strain (-12.9 ± 5.5% vs. 23.2 ± 9.2%, p < 0.0001), and mid-LV strain (-12.7 ± 4.6% vs. -18.7 ± 3.4%, p < 0.0001) were significantly worse in the pacing vs. non-pacing groups. Conclusions: Chronic RV pacing after the TAVI procedure is associated with subclinical LV systolic dysfunction within 1.5 years of follow-up.
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Background: Residual mitral regurgitation (MR) is frequent after transcatheter edge-to-edge repair (TEER). There is controversy regarding the clinical impact of residual MR and its quantitative assessment by transthoracic echocardiography (TTE), which is often challenging with multiple eccentric jets and artifact from the clip. The utility of the velocity time integral (VTI) ratio between the mitral valve (MV) and left ventricular outflow tract (LVOT), (VTIMV/LVOT), a simple Doppler measurement that increases with MR, has not been assessed post TEER. Methods: Baseline characteristics, clinical outcomes, and TTE data from patients who underwent TEER between 2014 and 2021 across three academic centers were retrospectively analyzed. Post-procedure TTEs were evaluated for VTIMV/LVOT in the first three months after TEER. One-year outcomes including all-cause and cardiac mortality, major adverse cardiac events, and MV reintervention were compared between patients with high VTIMV/LVOT (≥2.5) and low (<2.5). Results: In total, 372 patients were included (mean age 78.7 ± 8.8 years, 68 % male, mean pre-TEER ejection fraction of 50.5 ± 14.7 %). Follow up TTEs were performed at a median of 37.5 (IQR 30-48) days post-procedure. Patients with high VTIMV/LVOT had significantly higher all-cause mortality (HR 2.10, p = 0.003), cardiac mortality (HR 3.03, p = 0.004) and heart failure admissions (HR 2.28, p < 0.001) at one-year post-procedure. There was no association between raised VTIMV/LVOT and subsequent MV reintervention. Conclusion: High VTIMV/LVOT has clinically significant prognostic value at one year post TEER. This tool could be used to select patients for consideration of repeat intervention.
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Apical hypertrophic cardiomyopathy (HCM) is a rare variant of HCM. A 43-year-old female with a past medical history significant for hypertension and kidney transplantation presented with recurrent syncopal episodes and dyspnea on exertion. Electrocardiogram showed characteristic diffuse giant T-waves inversion, and cardiac magnetic resonance showed HCM with circumferential apical thickening. This case highlights the rapid development of apical HCM and its challenging diagnostic characteristics.
Subject(s)
Cardiomyopathy, Hypertrophic , Disease Progression , Electrocardiography , Humans , Female , Cardiomyopathy, Hypertrophic/physiopathology , Cardiomyopathy, Hypertrophic/diagnostic imaging , Cardiomyopathy, Hypertrophic/diagnosis , Adult , Magnetic Resonance Imaging , Predictive Value of Tests , Magnetic Resonance Imaging, Cine , Apical Hypertrophic CardiomyopathyABSTRACT
AIM: Lipoprotein(a) [Lp(a)] has demonstrated its association with atherosclerosis and myocardial infarction. However, its role in the development of in-stent restenosis (ISR) after percutaneous coronary intervention (PCI) is not clearly established. The aim of this study is to investigate the association between Lp(a) and ISR. METHODS: A retrospective study of adult patients who underwent successful PCI between January 2006 and December 2017 at the three Mayo Clinic sites and had a preprocedural Lp(a) measurement was conducted. Patients were divided into two groups according to the serum Lp(a) concentration (high Lp(a) ≥50 mg/dl and low Lp(a) <50 mg/dl). Univariable and multivariable analyses were performed to compare risk of ISR between patients with high Lp(a) versus those with low Lp(a). RESULTS: A total of 1209 patients were included, with mean age 65.9 ±11.7 years and 71.8% were male. Median follow-up after baseline PCI was 8.8 (IQR 7.4) years. Restenosis was observed in 162 (13.4%) patients. Median serum levels of Lp(a) were significantly higher in patients affected by ISR versus non-affected cases: 27 (IQR 73.8) vs. 20 (IQR 57.5) mg/dL, p=0.008. The rate of ISR was significantly higher among patients with high Lp(a) versus patients with low Lp(a) values (17.0% vs 11.6%, p=0.010). High Lp(a) values were independently associated with ISR events (HR 1.67, 95%CI 1.18 to 2.37, p=0.004), and this association was more prominent after the first year following the PCI. CONCLUSION: Lipoprotein(a) is an independent predictor for long-term in-stent restenosis and should be considered in the evaluation of patients undergoing PCI.
The role of Lp(a) in the development of in-stent restenosis is not clearly established. In this study including 1209 patients who underwent successful percutaneous coronary intervention and had a preprocedural Lp(a) measurement between 2006 and 2017, the rates of restenosis were significantly higher among patients with high Lp(a) versus patients with low Lp(a) values and high Lp(a) concentrations were independently associated with restenosis events. Lp(a) should be considered as a risk factor for long term in-stent restenosis in the evaluation of patients undergoing percutaneous coronary intervention and assessed as a potential therapeutic target for reducing residual cardiovascular risk in this population.
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Aims: Cardiac amyloidosis (CA) is common in patients with severe aortic stenosis (AS) undergoing transcatheter aortic valve replacement (TAVR). Cardiac amyloidosis has poor outcomes, and its assessment in all TAVR patients is costly and challenging. Electrocardiogram (ECG) artificial intelligence (AI) algorithms that screen for CA may be useful to identify at-risk patients. Methods and results: In this retrospective analysis of our institutional National Cardiovascular Disease Registry (NCDR)-TAVR database, patients undergoing TAVR between January 2012 and December 2018 were included. Pre-TAVR CA probability was analysed by an ECG AI predictive model, with >50% risk defined as high probability for CA. Univariable and propensity score covariate adjustment analyses using Cox regression were performed to compare clinical outcomes between patients with high CA probability vs. those with low probability at 1-year follow-up after TAVR. Of 1426 patients who underwent TAVR (mean age 81.0 ± 8.5 years, 57.6% male), 349 (24.4%) had high CA probability on pre-procedure ECG. Only 17 (1.2%) had a clinical diagnosis of CA. After multivariable adjustment, high probability of CA by ECG AI algorithm was significantly associated with increased all-cause mortality [hazard ratio (HR) 1.40, 95% confidence interval (CI) 1.01-1.96, P = 0.046] and higher rates of major adverse cardiovascular events (transient ischaemic attack (TIA)/stroke, myocardial infarction, and heart failure hospitalizations] (HR 1.36, 95% CI 1.01-1.82, P = 0.041), driven primarily by heart failure hospitalizations (HR 1.58, 95% CI 1.13-2.20, P = 0.008) at 1-year follow-up. There were no significant differences in TIA/stroke or myocardial infarction. Conclusion: Artificial intelligence applied to pre-TAVR ECGs identifies a subgroup at higher risk of clinical events. These targeted patients may benefit from further diagnostic evaluation for CA.
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OBJECTIVE: Severity for pectus excavatum includes Haller index (HI) > 3.25. An extremely high HI (≥8) may influence surgical approach and complications. This study reviews outcomes of patients with high HI after repair. METHODS: A single institution retrospective analysis was performed on adult patients with HI ≥ 8 undergoing pectus excavatum repairs. For outcomes, a propensity score-matched control group with a HI ≤ 4 was utilized. RESULTS: In total, 64 cases (mean age, 33.5 ± 10.9 years; HI, 13.1 ± 5.0; 56% women) were included. A minimally invasive repair was successful in 84%. A hybrid procedure was performed in the remaining either to repair fractures of the ribs (8 patients) and sternum (5 patients) or when osteotomy and/or cartilage resection was required (10 patients). In comparison with the matched cohort (HI ≤ 4), patients with high HI had longer operative times (171 vs 133 minutes; P < .001), more frequently required hybrid procedures (16% vs 2%; P = .005), experienced higher incidences of rib (22% vs 3%; P = .001) and sternal fractures (12% vs 0%; P = .003), and had increased repair with 3 bars (50% vs 19%; P < .001). There were no significant differences between the groups for length of hospital stay or postoperative 30-day complications. CONCLUSIONS: Patients with an extremely high HI can be challenging cases with greater risks of fracture and need for osteotomy/cartilage resection. Despite this, minimally invasive repair techniques can be utilized in most cases without increased complications when performed by an experienced surgeon.
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Systemic vasculitides are a rare and complex group of diseases that can affect multiple organ systems. Clinically, presentation may be vague and non-specific and as such, diagnosis and subsequent management are challenging. These entities are typically classified by the size of vessel involved, including large-vessel vasculitis (giant cell arteritis, Takayasu's arteritis, and clinically isolated aortitis), medium-vessel vasculitis (including polyarteritis nodosa and Kawasaki disease), and small-vessel vasculitis (granulomatosis with polyangiitis and eosinophilic granulomatosis with polyangiitis). There are also other systemic vasculitides that do not fit in to these categories, such as Behcet's disease, Cogan syndrome, and IgG4-related disease. Advances in medical imaging modalities have revolutionized the approach to diagnosis of these diseases. Specifically, color Doppler ultrasound, computed tomography and angiography, magnetic resonance imaging, positron emission tomography, or invasive catheterization as indicated have become fundamental in the work up of any patient with suspected systemic or localized vasculitis. This review presents the key diagnostic imaging modalities and their clinical utility in the evaluation of systemic vasculitis.
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Cardiac amyloidosis (CA) is an underdiagnosed form of infiltrative cardiomyopathy caused by abnormal amyloid fibrils deposited extracellularly in the myocardium and cardiac structures. There can be high variability in its clinical manifestations, and diagnosing CA requires expertise and often thorough evaluation; as such, the diagnosis of CA can be challenging and is often delayed. The application of artificial intelligence (AI) to different diagnostic modalities is rapidly expanding and transforming cardiovascular medicine. Advanced AI methods such as deep-learning convolutional neural networks (CNNs) may enhance the diagnostic process for CA by identifying patients at higher risk and potentially expediting the diagnosis of CA. In this review, we summarize the current state of AI applications to different diagnostic modalities used for the evaluation of CA, including their diagnostic and prognostic potential, and current challenges and limitations.
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Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiomyopathy. It follows an autosomal dominant inheritance pattern in most cases, with incomplete penetrance and heterogeneity. It is familial in 60% of cases and most of these are caused by pathogenic variants in the core sarcomeric genes (MYH7, MYBPC3, TNNT2, TNNI3, MYL2, MYL3, TPM1, ACTC1). Genetic testing using targeted disease-specific panels that utilize next-generation sequencing (NGS) and include sarcomeric genes with the strongest evidence of association and syndrome-associated genes is highly recommended for every HCM patient to confirm the diagnosis, identify the molecular etiology, and guide screening and management. The yield of genetic testing for a disease-causing variant is 30% in sporadic cases and up to 60% in familial cases and in younger patients with typical asymmetrical septal hypertrophy. Genetic testing remains challenging in the interpretation of results and classification of variants. Therefore, in 2015 the American College of Medical Genetics and Genomics (ACMG) established guidelines to classify and interpret the variants with an emphasis on the necessity of periodic reassessment of variant classification as genetic knowledge rapidly expands. The current guidelines recommend focused cascade genetic testing regardless of age in phenotype-negative first-degree relatives if a variant with decisive evidence of pathogenicity has been identified in the proband. Genetic test results in family members guide longitudinal clinical surveillance. At present, there is emerging evidence for genetic test application in risk stratification and management but its implementation into clinical practice needs further study. Promising fields such as gene therapy and implementation of artificial intelligence in the diagnosis of HCM are emerging and paving the way for more effective screening and management, but many challenges and obstacles need to be overcome before establishing the practical implications of these new methods.
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Cardiac allograft vasculopathy (CAV) is a distinct form of coronary artery disease that represents a major cause of death beyond the first year after heart transplantation. The pathophysiology of CAV is still not completely elucidated; it involves progressive circumferential wall thickening of both the epicardial and intramyocardial coronary arteries. Coronary angiography is still considered the gold-standard test for the diagnosis of CAV, and intravascular ultrasound (IVUS) can detect early intimal thickening with improved sensitivity. However, these tests are invasive and are unable to visualize and evaluate coronary microcirculation. Increasing evidence for non-invasive surveillance techniques assessing both epicardial and microvascular components of CAV may help improve early detection. These include computed tomography coronary angiography (CTCA), single-photon emission computed tomography (SPECT), positron emission tomography (PET), and vasodilator stress myocardial contrast echocardiography perfusion imaging. This review summarizes the current state of diagnostic modalities and their utility and prognostic value for CAV and also evaluates emerging tools that may improve the early detection of this complex disease.
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Exposure to high altitude results in hypobaric hypoxia, leading to physiological changes in the cardiovascular system that may result in limiting symptoms, including dyspnea, fatigue, and exercise intolerance. However, it is still unclear why some patients are more susceptible to high-altitude symptoms than others. Hypoxic simulation testing (HST) simulates changes in physiology that occur at a specific altitude by asking the patients to breathe a mixture of gases with decreased oxygen content. This study aimed to determine whether the use of transthoracic echocardiography (TTE) during HST can detect the rise in right-sided pressures and the impact of hypoxia on right ventricle (RV) hemodynamics and right to left shunts, thus revealing the underlying causes of high-altitude signs and symptoms. A retrospective study was performed including consecutive patients with unexplained dyspnea at high altitude. HSTs were performed by administrating reduced FiO2 to simulate altitude levels specific to patients' history. Echocardiography images were obtained at baseline and during hypoxia. The study included 27 patients, with a mean age of 65 years, 14 patients (51.9%) were female. RV systolic pressure increased at peak hypoxia, while RV systolic function declined as shown by a significant decrease in the tricuspid annular plane systolic excursion (TAPSE), the maximum velocity achieved by the lateral tricuspid annulus during systole (S' wave), and the RV free wall longitudinal strain. Additionally, right-to-left shunt was present in 19 (70.4%) patients as identified by bubble contrast injections. Among these, the severity of the shunt increased at peak hypoxia in eight cases (42.1%), and the shunt was only evident during hypoxia in seven patients (36.8%). In conclusion, the use of TTE during HST provides valuable information by revealing the presence of symptomatic, sustained shunts and confirming the decline in RV hemodynamics, thus potentially explaining dyspnea at high altitude. Further studies are needed to establish the optimal clinical role of this physiologic method.
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Background: To create an opportunistic screening strategy by multitask deep learning methods to stratify prediction for coronary artery calcium (CAC) and associated cardiovascular risk with frontal chest x-rays (CXR) and minimal data from electronic health records (EHR). Methods: In this retrospective study, 2,121 patients with available computed tomography (CT) scans and corresponding CXR images were collected internally (Mayo Enterprise) with calculated CAC scores binned into 3 categories (0, 1-99, and 100+) as ground truths for model training. Results from the internal training were tested on multiple external datasets (domestic (EUH) and foreign (VGHTPE)) with significant racial and ethnic differences and classification performance was compared. Findings: Classification performance between 0, 1-99, and 100+ CAC scores performed moderately on both the internal test and external datasets, reaching average f1-score of 0.66 for Mayo, 0.62 for EUH and 0.61 for VGHTPE. For the clinically relevant binary task of 0 vs 400+ CAC classification, the performance of our model on the internal test and external datasets reached an average AUCROC of 0.84. Interpretation: The fusion model trained on CXR performed better (0.84 average AUROC on internal and external dataset) than existing state-of-the-art models on predicting CAC scores only on internal (0.73 AUROC), with robust performance on external datasets. Thus, our proposed model may be used as a robust, first-pass opportunistic screening method for cardiovascular risk from regular chest radiographs. For community use, trained model and the inference code can be downloaded with an academic open-source license from https://github.com/jeong-jasonji/MTL_CAC_classification . Funding: The study was partially supported by National Institute of Health 1R01HL155410-01A1 award.
Subject(s)
Heart Valve Prosthesis Implantation , Heart Valve Prosthesis , Ventricular Outflow Obstruction , Humans , Mitral Valve/diagnostic imaging , Mitral Valve/surgery , Heart Ventricles , Heart Valve Prosthesis Implantation/adverse effects , Ventricular Outflow Obstruction/diagnostic imaging , Ventricular Outflow Obstruction/etiology , Ventricular Outflow Obstruction/surgery , Cardiac Catheterization/adverse effects , Treatment OutcomeABSTRACT
BACKGROUND: Constrictive pericarditis (CP) is an uncommon but reversible cause of diastolic heart failure if appropriately identified and treated. However, its diagnosis remains a challenge for clinicians. Artificial intelligence may enhance the identification of CP. OBJECTIVES: The authors proposed a deep learning approach based on transthoracic echocardiography to differentiate CP from restrictive cardiomyopathy. METHODS: Patients with a confirmed diagnosis of CP and cardiac amyloidosis (CA) (as the representative disease of restrictive cardiomyopathy) at Mayo Clinic Rochester from January 2003 to December 2021 were identified to extract baseline demographics. The apical 4-chamber view from transthoracic echocardiography studies was used as input data. The patients were split into a 60:20:20 ratio for training, validation, and held-out test sets of the ResNet50 deep learning model. The model performance (differentiating CP and CA) was evaluated in the test set with the area under the curve. GradCAM was used for model interpretation. RESULTS: A total of 381 patients were identified, including 184 (48.3%) CP, and 197 (51.7%) CA cases. The mean age was 68.7 ± 11.4 years, and 72.8% were male. ResNet50 had a performance with an area under the curve of 0.97 to differentiate the 2-class classification task (CP vs CA). The GradCAM heatmap showed activation around the ventricular septal area. CONCLUSIONS: With a standard apical 4-chamber view, our artificial intelligence model provides a platform to facilitate the detection of CP, allowing for improved workflow efficiency and prompt referral for more advanced evaluation and intervention of CP.
Subject(s)
Cardiomyopathy, Restrictive , Deep Learning , Pericarditis, Constrictive , Humans , Male , Middle Aged , Aged , Aged, 80 and over , Female , Cardiomyopathy, Restrictive/diagnostic imaging , Pericarditis, Constrictive/diagnostic imaging , Artificial Intelligence , Predictive Value of Tests , Echocardiography , Diagnosis, DifferentialABSTRACT
BACKGROUND: Pectus excavatum (PEx) can cause cardiopulmonary limitations due to cardiac compression and displacement. There is limited data on electrocardiogram (ECG) alterations before and after PEx surgical repair, and ECG findings suggesting cardiopulmonary limitations have not been reported. The aim of this study is to explore ECG manifestations of PEx before and after surgery including associations with exercise capacity. METHODS: A retrospective review of PEx patients who underwent primary repair was performed. ECGs before and after surgical correction were evaluated and the associations between preoperative ECG abnormalities and cardiopulmonary function were investigated. RESULTS: In total, 310 patients were included (mean age 35.1 ± 11.6 years). Preoperative ECG findings included a predominant negative P wave morphology in V1, and this abnormal pattern significantly decreased from 86.9% to 57.4% (p < 0.001) postoperatively. The presence of abnormal P wave amplitude in lead II (>2.5 mm) significantly decreased from 7.1% to 1.6% postoperatively (p < 0.001). Right bundle branch block (RBBB) (9.4% versus 3.9%, p < 0.001), rsr' patterns (40.6% versus 12.9%, p < 0.001), and T wave inversion in leads V1-V3 (62.3% vs 37.7%, p < 0.001) were observed less frequently after surgery. Preoperative presence of RBBB (OR = 4.8; 95%CI 1.1-21.6) and T wave inversion in leads V1-3 (OR = 2.3; 95%CI 1.3-4.2) were associated with abnormal results in cardiopulmonary exercise testings. CONCLUSION: Electrocardiographic abnormalities in PEx are frequent and can revert to normal following surgery. Preoperative RBBB and T wave inversion in leads V1-3 suggested a reduction in exercise capacity, serving as a marker for the need for further cardiovascular evaluation of these patients.
Subject(s)
Electrocardiography , Funnel Chest , Humans , Young Adult , Adult , Middle Aged , Funnel Chest/complications , Funnel Chest/surgery , Heart , Bundle-Branch Block , Exercise Test/adverse effectsABSTRACT
OBJECTIVES: Lipoprotein(a) (Lp(a)) is associated with an increased incidence of native aortic stenosis, which shares similar pathological mechanisms with bioprosthetic aortic valve (bAV) degeneration. However, evidence regarding the role of Lp(a) concentrations in bAV degeneration is lacking. This study aims to evaluate the association between Lp(a) concentrations and bAV degeneration. METHODS: In this retrospective multicentre study, patients who underwent a bAV replacement between 1 January 2010 and 31 December 2020 and had a Lp(a) measurement were included. Echocardiography follow-up was performed to determine the presence of bioprosthetic valve degeneration, which was defined as an increase >10 mm Hg in mean gradient from baseline with concomitant decrease in effective orifice area and Doppler Velocity Index, or new moderate/severe prosthetic regurgitation. Levels of Lp(a) were compared between patients with and without degeneration and Cox regression analysis was performed to investigate the association between Lp(a) levels and bioprosthetic valve degeneration. RESULTS: In total, 210 cases were included (mean age 74.1±9.4 years, 72.4% males). Median time between baseline and follow-up echocardiography was 4.4 (IQR 3.7) years. Bioprostheses degeneration was observed in 33 (15.7%) patients at follow-up. Median serum levels of Lp(a) were significantly higher in patients affected by degeneration versus non-affected cases: 50.0 (IQR 72.0) vs 15.6 (IQR 48.6) mg/dL, p=0.002. In the regression analysis, high Lp(a) levels (≥30 mg/dL) were associated with degeneration both in a univariable analysis (HR 3.6, 95% CI 1.7 to 7.6, p=0.001) and multivariable analysis adjusted by other risk factors for bioprostheses degeneration (HR 4.4, 95% CI 1.9 to 10.4, p=0.001). CONCLUSIONS: High serum Lp(a) is associated with bAV degeneration. Prospective studies are needed to confirm these findings and to investigate whether lowering Lp(a) levels could slow bioprostheses degradation.
Subject(s)
Aortic Valve Insufficiency , Aortic Valve Stenosis , Bioprosthesis , Heart Valve Prosthesis Implantation , Heart Valve Prosthesis , Male , Humans , Middle Aged , Aged , Aged, 80 and over , Female , Aortic Valve/diagnostic imaging , Aortic Valve/surgery , Aortic Valve/pathology , Lipoprotein(a) , Aortic Valve Stenosis/complications , Echocardiography , Aortic Valve Insufficiency/surgery , Heart Valve Prosthesis/adverse effects , Heart Valve Prosthesis Implantation/adverse effects , Bioprosthesis/adverse effects , Treatment OutcomeABSTRACT
BACKGROUND: Pain control after minimally invasive repair of pectus excavatum (MIRPE) can be challenging, especially in adult patients undergoing surgical repair. This study reviewed different analgesic modalities used over ≥10 years after pectus repair. METHODS: A retrospective analysis was performed of adult patients (≥18 years) who underwent uncomplicated primary MIRPE at a single institution from October 2010 to December 2021. Patients were classified by analgesic modality used: epidural, elastomeric continuous infusion subcutaneous catheters (SC-Caths), and intercostal nerve cryoablation. Comparisons among the 3 groups were performed. RESULTS: In total, 729 patients were included (mean age, 30.9 ±10.3 years; 67% male; mean Haller index, 4.9 ±3.0). Patients in the cryoablation group required significantly lower doses of morphine equivalents (P < .001) and had overall the shortest hospital stay (mean, 1.9 ±1.5 days; P < .001) with <17% staying >2 days (vs epidural at 94% and SC-Cath at 48%; P < .001). The cryoablation group had a lower incidence of ileus and constipation (P < .001) but a higher incidence of pleural effusion requiring thoracentesis (P = .024). Mean pain scores among groups were minor (<3), and differences were insignificant. CONCLUSIONS: The use of cryoablation in conjunction with enhanced recovery pathways provided significant benefit to our patients undergoing MIRPE compared with previous analgesic modalities. These benefits included a decrease in length of hospital stay, a reduction of in-hospital opioid use, and a lower incidence of opioid-related complications associated with constipation and ileus. Further studies to assess additional potential benefits with long-term follow-up after discharge are warranted.
Subject(s)
Funnel Chest , Ileus , Adult , Humans , Male , Young Adult , Female , Analgesics, Opioid/therapeutic use , Retrospective Studies , Funnel Chest/surgery , Pain, Postoperative/prevention & control , Analgesics , Constipation , Minimally Invasive Surgical ProceduresABSTRACT
Chest radiography (CXR) is the most frequently performed radiological test worldwide because of its wide availability, non-invasive nature, and low cost. The ability of CXR to diagnose cardiovascular diseases, give insight into cardiac function, and predict cardiovascular events is often underutilized, not clearly understood, and affected by inter- and intra-observer variability. Therefore, more sophisticated tests are generally needed to assess cardiovascular diseases. Considering the sustained increase in the incidence of cardiovascular diseases, it is critical to find accessible, fast, and reproducible tests to help diagnose these frequent conditions. The expanded focus on the application of artificial intelligence (AI) with respect to diagnostic cardiovascular imaging has also been applied to CXR, with several publications suggesting that AI models can be trained to detect cardiovascular conditions by identifying features in the CXR. Multiple models have been developed to predict mortality, cardiovascular morphology and function, coronary artery disease, valvular heart diseases, aortic diseases, arrhythmias, pulmonary hypertension, and heart failure. The available evidence demonstrates that the use of AI-based tools applied to CXR for the diagnosis of cardiovascular conditions and prognostication has the potential to transform clinical care. AI-analyzed CXRs could be utilized in the future as a complimentary, easy-to-apply technology to improve diagnosis and risk stratification for cardiovascular diseases. Such advances will likely help better target more advanced investigations, which may reduce the burden of testing in some cases, as well as better identify higher-risk patients who would benefit from earlier, dedicated, and comprehensive cardiovascular evaluation.