Background: Early diagnosis of significant valvular heart disease (VHD) enables appropriate implementation of the best therapeutic strategy and follow-up. Cardiac auscultation remains suboptimal in early detection of VHD. The aim of this study was to evaluate the utility of point-of-care ultrasound (POCUS) for early detection of VHD and its severity. Methods: All consecutive patients with VHD who did not have a standard echocardiogram prior to first outpatient cardiology consultation underwent history and physical examination followed by POCUS study by an experienced physician in a general cardiology clinic from June 2017 to August 2022 at our institution. Subsequent standard transthoracic echocardiography (sTTE) was performed as the gold standard. Comparison was performed between POCUS and sTTE for the presence and severity of VHD. sTTE was performed by registered cardiac sonographers and interpreted by another cardiologist blinded to the POCUS results. Results: A total of 77 patients were studied (ge 72 ± 11 years, 58.4% males). A total of 89 significant valvular abnormalities were diagnosed. There were 39 (43.8%) cases of regurgitant VHD, 16 (18.0%) of stenotic VHD and 34 (38.2%) had evaluation for prosthetic valve function. The sensitivity (90.9%; 82.4%; 83.3%; 100%) and specificity (100%; 96.7%; 100%; 100%) were high for detecting ≥ moderate aortic regurgitation (AR), mitral regurgitation (MR), aortic stenosis (AS) and prosthetic valvular abnormality, respectively. The weighted κ coefficient between POCUS and sTTE for the assessment of ≥ moderate MR, AR and AS was 0.81 (95% CI, 0.65–0.97), 0.94 (95% CI, 0.84–1.00) and 0.88 (95% CI, 0.76–1.0), respectively, indicating excellent agreement. Conclusions: POCUS can identify patients with significant VHD and may serve as a powerful screening tool for early detection of significant VHD in the outpatient clinical practice with downstream impact on clinical management of significant VHD.

Current knowledge on the dynamic changes of corrected QT (QTc) before, during, and after an atrial fibrillation (AF) episode is limited. It remains controversial which of the presently available formulas performs the best in calculating QTc during AF. This study was designed to explore whether an AF attack would affect QTc and to determine the performance of 6 available formulas in correcting QT before, during, and after AF. A total of 101 patients with Holter-documented paroxysmal AF were enrolled. QT interval before, during, and after AF was measured and corrected to heart rate (HR) by using Bazett, Fridericia, Framingham, Hodges, Dmitrienko, and RTHa formulas. In 40 patients, QTc under AF was compared with under sinus rhythm (SR) with identical HR. Although QT was significantly longer before AF and after AF compared with during AF; there was no difference in QTc between SR and AF with identical HR regardless of the formulas used. QTc calculated by the Framingham formula showed excellent homogeneity with a mean delta difference of -0.2 ± 41.6 ms (before AF vs AF) and -6.6 ± 35.4 ms (after AF vs AF), respectively. QTc corrected by the Bazett formula (before AF vs AF -38.7 ± 52.3 ms; after AF vs AF -42.6 ± 46.9 ms) yielded significant heterogeneity among the 3 time points. In conclusion, AF does not influence QTc. The Framingham formula accurately corrects QT without being affected by the AF episode. The Bazett formula significantly overestimated QTc during AF.

Pericardiocentesis is usually completed under fluoroscopy. The electroanatomic mapping (EAM) system allows visualizing puncture needle tip (NT) while displaying the electrogram recorded from NT, making it possible to obtain epicardial access (EA) independent of fluoroscopy. This study was designed to establish and validate a technique by which EA is obtained under guidance of three-dimensional (3D) EAM combined with NT electrogram. 3D shell of the heart was generated, and the NT was made trackable in the EAM system. Unipolar NT electrogram was continuously monitored. Penetration into pericardial sac was determined by an increase in NT potential amplitude and an injury current. A long guidewire of which the tip was also visible in the EAM system was advanced to confirm EA. Epicardial access was successfully obtained without complication in 13 pigs and 22 patients. In the animals, NT potential amplitude was 3.2 ± 1.0 mV when it was located in mediastinum, 5.2 ± 1.6 mV when in contact with fibrous pericardium, and 9.8 ± 2.8 mV after penetrating into pericardial sac (all P ≤ 0.001). In human subjects, it measured 1.54 ± 0.40 mV, 3.61 ± 1.08 mV, and 7.15 ± 2.88 mV, respectively (all P < 0.001). Fluoroscopy time decreased in every 4–5 cases (64 ± 15, 23 ± 17, and 0 s for animals 1–4, 5–8, 9–13, respectively, P = 0.01; 44 ± 23, 31 ± 18, 4±7 s for patients 1–7, 8–14, 15–22, respectively, P < 0.001). In five pigs and seven patients, EA was obtained without X-ray exposure. By tracking NT in the 3D EAM system and continuously monitoring the NT electrogram, it is feasible and safe to obtain EA with minimum or no fluoroscopic guidance. Demonstration of connection of pericardiocentesis needle to the EAM system and recording of needle tip electrogram. (A–C) The proximal end of a modified Tuohy needle was connected to the EAM system via a jumper wire (J), the body of needle was covered by outer sheath (N + S) except for the tip that remained electrically conductive. The needle was inserted underneath the subxiphoid at an angle of 45–60° to the body surface and was kept at a direction towards to the front one-half of the inferior wall of the right ventricle. (D) A closer view at LAO 45° of the needle tip (NT) and its relative location to the heart. The red circles represented the needle tip location when it was in the mediastinum over the diaphragm (MD), in contact with fibrotic epicardium (FP), and penetrated into pericardial sac (PS). The typical needle tip unipolar electrogram (N1) at these three locations were shown in panel F. (E) In the EAM system, the needle was detected as a bipolar catheter (yellow arrow). It was real-timely tracked and displayed with pre-acquired 3D shells of LV and RV in different projections (left: AP view; right: LAO 45° view). (F) The dominant component of the needle electrogram was the electrical activity from ventricles, namely Ned potential, corresponding to the QRS complex on surface ECG. Lower row—small Ned potential when NT in the mediastinal; middle row—larger Ned potential with small injury current (white arrow) when NT in contact with fibrotic pericardium. A PVC (blue arrow) indicated that the needle tip has been in contact with the heart; upper row—giant Ned potential with significant injury current (red arrow) when NT penetrated into pericardial sac. FP, fibrous pericardium; MD, mediastinum; PS, pericardial space; Myo, myocardium; Ned, the dominant potential on needle electrogram; J, jumper wire; N + S, needle with outer sheath; other abbreviations as Figures 1–6.

Objectives: The performed hand-held echocardiography (HHE) was evaluated and interpreted by trained advanced practice providers (APPs) on hospitalized CHF patients for image quality and interpretation by comparing with expert echocardiographer and SE findings. Background: Congestive heart failure (CHF) is associated with increased hospital admissions and mortality. While a standard echocardiogram (SE) is the gold standard for cardiac assessment, it is not readily available. Hospitalized CHF patients require rapid assessment for expedited treatment. Methods: Over 6 months, five trained APPs performed HHE on hospitalized CHF patients and interpreted: (a) left ventricular (LV) size, (b) LV ejection fraction (LVEF), and (c) right atrial pressure (RAP). The study echocardiographer reviewed and blindly interpreted the HHE images and compared them with APPs and SE findings. Kappa statistics determined the degree of agreement between APPs and the study echocardiographer’s interpretation of the HHE images and SE. Results: A total of 80 CHF patients (age 73 ± 14 years, 58% males; LVEF (by SE) 45 ± 19%; 36.3% body mass indexes ≥ 30 kg/m²) were enrolled. HHE interpretation by APPs had a good agreement for LVEF (kappa 0.79) with the study echocardiographer and SE (kappa 0.74) and a good agreement for RAP (kappa 0.67) with the study echocardiographer. The correlation between the absolute LVEF interpretation by the study echocardiographer on HHE and SE was r = 0.88 (p < 0.0001). Conclusions: Trained APPs obtained diagnostic-quality HHE images and interpreted the LV function and RAP in CHF patients in good agreement with the study echocardiographer. LVEF by HHE correlated with LVEF by SE. Our study suggests trained APPs can use HHE to evaluate LVEF and RAP in CHF patients, leading to expedited and optimized treatment.