Hellou, Elias

Abstract Background and Aims A simple diagnostic method able to reliably exclude left main (LM) coronary artery disease (CAD) or LMCAD-equivalent would expand implementation of an initial non-invasive strategy in patients with chronic coronary syndrome (CCS). This study assessed the diagnostic utility of an approach using clinical and ECG stress testing (EST) variables in excluding LMCAD/LMCAD-equivalent in CCS patients. Methods In a multicentre case-control study, CCS patients undergoing invasive coronary angiography (CAG) after a maximal EST were evaluated. Cases were patients with angiographic ≥ 50% LM stenosis or ≥70% stenosis of both proximal left anterior descending and proximal circumflex arteries, matched with similar patients without them (controls) in a 1:3 ratio. A risk model developed through logistic regression was internally and externally validated. Results Three hundred and thirty-five cases were matched with 797 controls. The model area under the curve (AUC) was .78. Assuming LMCAD prevalence of 5% and a misclassification cost ratio of 1:100 (ratio of cost of performing CAG in a control to cost of not performing CAG in a case), negative predictive value was 98.2%. Thus, CAG could be safely avoided in 41% of patients, missing one LMCAD/LMCAD-equivalent diagnosis for every 58 CAGs safely spared in patients without them. Conclusions Among CCS patients, LMCAD/LMCAD-equivalent can be excluded with high negative predictive value through a model based on clinical and EST parameters, allowing initial non-invasive management of most patients able to exercise. This approach is potentially useful particularly in communities where access to computed tomography coronary angiography is limited.

Background Coronary flow reserve reflects microvascular function, whereas filling pressure indicates myocardial hemodynamic burden. In angina with nonobstructive coronary arteries, abnormalities in either could contribute to a supply–demand mismatch; however, their combined prognostic significance remains unclear. Methods Patients with angina with nonobstructive coronary arteries who underwent invasive coronary reactivity tests were studied retrospectively. Coronary microvascular dysfunction (CMD) was coronary flow reserve <2.5. An artificial intelligence–enabled ECG marker of elevated filling pressure (AIEFP) was applied as a scalable prognostic marker of myocardial hemodynamic stress. Associations with major adverse cardiovascular events were evaluated using Cox regression and propensity score overlap weighting. Results Among 1957 patients with angina with nonobstructive coronary arteries (median age, 51.8 years; 67.2% women), CMD+ was identified in 26.4% and AIEFP+ in 6.6%. Over 8 years, 204 patients (10.4%) experienced major adverse cardiovascular events. In nested models, both CMD (hazard ratio [HR]=1.42 [95% CI=1.13–1.78]; P =0.002) and AIEFP (HR=2.28 [95% CI=1.67–3.11]; P <0.001) remained associated with major adverse cardiovascular events after adjustment. Adding AIEFP to the base model improved model fitness (Δχ 2 =23.65, P <0.001; ΔAkaike Information Criterion=−21.7) and modestly improved discrimination (ΔHarrell concordance index=0.02, P =0.02). In a 4‐group model, adjusted risks increased in a graded manner. Overlap‐weighted analysis after covariate balance demonstrated distinct temporal risk trajectories: CMD+/AIEFP+ had the highest 1‐year risk (12.7%), and AIEFP+ had the highest cumulative 8‐year risk (57% in CMD− and 51.8% in CMD+). Conclusions CMD and AIEFP provide complementary prognostic information, with AIEFP remaining significantly associated with outcomes after multivariable adjustment. A dual‐axis framework integrating myocardial hemodynamic stress (AIEFP) and microvascular function (coronary flow reserve) may enhance risk stratification and enable identification of clinically distinct angina with nonobstructive coronary arteries phenotypes with divergent trajectories.

Background Inadequate preventive dental care may contribute to inflammatory conditions such as periodontitis, increasing cardiovascular disease risk. Artificial intelligence–enabled electrocardiography (AI‐ECG) algorithms accurately estimate cardiovascular disease risk. We investigated the association between inadequate preventive dental care and the AI‐ECG–estimated risk of atrial fibrillation, aortic stenosis, low ejection fraction, cardiac amyloid, cardiovascular aging, and all‐cause mortality. Methods We retrospectively analyzed 266 637 Mayo Clinic patients (2018–2024) who completed a Social Determinants of Health Survey and had an ECG performed within 1 year of survey completion. AI‐ECG algorithms generated continuous risk scores (0 or 1) for atrial fibrillation, aortic stenosis, low ejection fraction, and amyloid. Cardiac aging was assessed by delta age, calculated as AI‐ECG–estimated physiological age minus the chronological age. Associations with preventive dental care were analyzed using logistic regression. Cox regression evaluated dental care predictiveness on all‐cause mortality. Results Among 266 637 individuals (mean age, 59.5±16.4 years; 51.1% women), 49 918 (18.7%) reported inadequate preventive dental care. These individuals had higher delta age and increased AI‐ECG–predicted risks of atrial fibrillation, aortic stenosis, amyloid, and reduced ejection fraction (all P <0.001). In multivariable logistic regression models including all AI‐ECG scores, inadequate preventive dental care was associated with higher probabilities of low ejection fraction (odds ratio [OR], 1.80 [95% CI, 1.69–1.91]), atrial fibrillation (OR, 1.10 [95% CI, 1.04–1.17]), aortic stenosis (OR, 1.90 [95% CI, 1.64–2.20]), amyloid (OR, 1.18 [95% CI, 1.12–1.25]), and higher delta age (OR, 1.03 [95% CI, 1.02–1.03]) (all P <0.001). Inadequate preventive dental care predicted all‐cause mortality after adjusting for demographics, risk factors, and AI‐ECG algorithms (HR, 1.45 [95% CI, 1.38–1.53], P <0.001). Conclusions Inadequate preventive dental care is associated with subclinical cardiovascular disease. AI‐ECG algorithms may facilitate cardiovascular risk stratification among individuals with limited preventive dental care access.

Abstract Background Interindividual variation in systolic blood pressure (SBP)–heart rate (HR) coupling reflects differences in autonomic and vascular regulation. The primary objective of this study was to determine whether SBP–HR synchronization identifies distinct hemodynamic phenotypes associated with demographic characteristics and blood pressure (BP) profiles in hypertensive and normotensive individuals. Methods We conducted a cross-sectional cohort analysis of 1,122 adults who underwent continuous 24-hour ambulatory monitoring of SBP, diastolic blood pressure (DBP), and HR in an outpatient clinical setting. Participants were classified as hypertensive or normotensive using guideline-based criteria. The primary exposure variable was SBP–HR synchronization, quantified using zero-lag cross-correlation coefficients. The primary outcomes were demographic characteristics (age, sex, stature) and BP phenotypes, including isolated systolic hypertension (ISH). Unsupervised partitioning around medoids clustering was used to identify synchronization-based phenotypes. Group comparisons were performed using Welch’s ANOVA and χ² testing, with multivariable adjustment for age and sex where applicable. Results All 1,122 participants were included in the final analysis (mean age 60.7 years; 52% female). Three synchronization phenotypes were identified: low, moderate, and high. Compared with the low-synchronization phenotype, the high-synchronization phenotype was younger (55.2 ± 15.0 vs. 66.6 ± 13.9 years), taller (170.4 ± 9.4 vs. 167.4 ± 10.5 cm), more frequently male (56% vs. 38%), and had lower baseline SBP (131.8 ± 17.5 vs. 136.7 ± 24.2 mmHg). Overall hypertension prevalence did not differ across phenotypes; however, ISH was less frequent in the high-synchronization phenotype (15.7% vs. 23.4%). Cluster assignments were robust across sensitivity analyses. Conclusions SBP–HR synchronization identifies distinct hemodynamic phenotypes associated with age, sex, stature, and BP characteristics. Stronger synchronization reflects a physiological profile consistent with preserved autonomic–vascular integration and lower prevalence of isolated systolic hypertension, supporting its potential role in refined cardiovascular phenotyping.

Abstract Background Streptococcus agalactiae (group B Streptococcus [GBS]) may cause pneumonia or may colonize the respiratory tract, making its clinical significance uncertain when detected in respiratory specimens. This study aimed to assess whether clinicians interpreted GBS detected by the BIOFIRE Pneumonia Panel (BF-PP) as a pathogen implicated in pneumonia. Methods This retrospective cohort study included adult patients hospitalized with suspected pneumonia at Mayo Clinic, Rochester, between September 2020 and February 2025. Cases were independently classified into pathogen and nonpathogen groups by 2 infectious diseases (ID) specialists, with a third reviewer resolving disagreements. Clinical characteristics and outcomes of both groups were recorded. A subgroup analysis of patients who had an ID consultation was performed. Results A total of 109 cases were included. GBS was considered a pneumonia pathogen in 47.7% of cases and a nonpathogen in 52.3%. ID consultation was performed in 33.0% of cases, with GBS considered a pathogen in 30.6% of those. Common comorbid conditions included pulmonary, gastrointestinal, neurologic, and cardiovascular disease and obesity. Rates of endotracheal intubation were similar in the pathogen and nonpathogen groups (51.9% vs 50.9%, respectively), with the in-hospital mortality rate being numerically but not significantly higher in the former versus the latter (21.2% vs 14.0%; P = .33); findings were similar in the ID-assessed subgroup. In 76.1% of GBS detections, other microorganisms—most commonly Staphylococcus aureus—were codetected. Only 10.2% of BF-PP GBS-positive specimens were culture positive for GBS. Conclusions While GBS is not an uncommon pneumonia pathogen, the clinical significance of its detection by BF-PP is uncertain in many cases.

Background α‐Klotho is a multifunctional protein implicated in vascular aging. Declining Klotho levels are associated with arterial stiffness, endothelial dysfunction, and vascular calcification. We investigated the associations between circulating klotho, aortoiliac calcification, endothelial progenitor cells, and 10‐year survival. Methods In this retrospective cohort, blinded clinicians scored calcification on computed tomography (0–10 scale: aorta 6 points, iliac 4 points). Plasma klotho was measured by ELISA; endothelial progenitor cell subsets were quantified via flow cytometry. Mortality data were obtained from the Minnesota Death Registry. Results This study included 148 participants (mean age 72.4±9.6 years; 41% female). Median calcification score was 3 (interquartile range, 1–5). Patients with low calcification had higher Klotho levels (669 [567–841] versus 556 [457–678] pg/mL; P <0.01), with Klotho inversely correlated with calcification (r=−0.315, P <0.01). Stratified by calcification location and severity, the highest Klotho levels were seen in patients without aortic or iliac calcification ( P =0.015). Over 10 years, low Klotho was independently associated with higher mortality (hazard ratio [HR], 3.056 [95% CI 1.288–7.878]; P =0.014). Klotho inversely correlated with mature osteocalcin‐positive EPCs; B=−0.16 (95% CI, −0.29 to −0.02; P =0.027). Immunohistochemistry and immunofluorescence confirmed endothelial Klotho expression in internal mammary artery. Conclusions Lower circulating Klotho levels are associated with increased aortoiliac calcification and higher 10‐year mortality, supporting a role for Klotho in vascular aging.

Abstract Endothelial dysfunction can be regarded as the earliest feature of vascular aging and may occur in individuals without traditional risk factors for cardiovascular disease. Once present, endothelial dysfunction is known to increase the risk for atherosclerosis, cardiovascular diseases and complications such as stroke or death. Identification of individuals with early features of vascular aging remains challenging and has fuelled investigative efforts to associated biologic, imaging, and digital markers with endothelial dysfunction. This review highlights emerging and traditional methods to identify patients with early endothelial dysfunction and summarizes available and experimental therapies aimed at mitigating the vascular aging process.