Published online Sep 20, 2026. doi: 10.5662/wjm.v16.i3.117845
Revised: January 20, 2026
Accepted: February 11, 2026
Published online: September 20, 2026
Processing time: 205 Days and 13.7 Hours
The surge of severe acute respiratory syndrome coronavirus 2 [coronavirus di
To evaluate the prognostic predictors and the adherence to appropriate use cri
We performed a retrospective cohort study analyzing records from patients with confirmed COVID-19 who underwent TTE. Socio-demographic, biochemical, and echocardiographic parameters were collected. Mortality was the primary outcome. We assessed inter-observer agreement (Kappa statistic) for TTE indications (based on American College of Cardiology Foundation 2011 and American Society of Echocardiography 2020 guidelines) and the determination of clinical impact (a subsequent change in patient management).
Total 149 patients were analyzed. Median age was 66 years [interquartile range (IQR): 56-73], median hospital stay was 13 days (IQR: 6-23). Overall and intensive care unit mortality rates were 39.6% and 60%, respectively. Elevated biochemical markers (leukocytes, neutrophils, lactate dehydrogenase, and C-reactive protein) were associated with mortality. Crucially, right ventricular (RV) dilatation and/or strain (P = 0.008) was identified as the sole echocardiographic finding significantly predictive of mortality. Inter-observer agreement for classifying AUC was high (κ ≥ 0.798). Furthermore, TTE prompted a change in clinical management in 79.7% of the cases.
RV pathology is a potent, quantifiable prognostic indicator. While AUC demonstrated high reliability, the sig
Core Tip: This study highlights right ventricular dilatation as the primary echocardiographic predictor of mortality in hospitalized coronavirus disease 2019 patients. While adherence to appropriate use criteria for transthoracic echocardiography (TTE) was exceptionally high (98%), the immediate clinical impact on management remained modest (12.7%). These findings suggest that during pandemics, TTE is a robust prognostic tool; however, its systematic use should be further refined to maximize therapeutic yield. This research provides a data-driven foundation for optimizing cardiac imaging resources and developing future artificial intelligence models for risk stratification in acute viral infections.
- Citation: Méndez-Toro A, Rojas-Ruiz IT, Silva-DiazGranados LE, Ruano-Cadena A, Paz-Meneses MA, Novoa-Alvarez RA. Prognostic impact of right ventricular dilatation and echocardiography use criteria in hospitalized COVID-19 patients. World J Methodol 2026; 16(3): 117845
- URL: https://www.wjgnet.com/2222-0682/full/v16/i3/117845.htm
- DOI: https://dx.doi.org/10.5662/wjm.v16.i3.117845
Since its emergence, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has fundamentally disrupted global medical infrastructure. By mid-2020, clinical evidence revealed that coronavirus disease 2019 (COVID-19) was far more than a localized pulmonary infection, acting instead as a multi-organ pathology with profound cardiovascular repercussions[1]. Specifically, right ventricular (RV) impairment-characterized by dilatation and abnormal strain-became a pivotal indicator of clinical deterioration and fatal outcomes in critically ill cohorts[2]. Nevertheless, the massive influx of patients created a logistical bottleneck for diagnostic services. Transthoracic echocardiography (TTE), though vital for hemodynamic monitoring, faced significant availability constraints[3]. Consequently, hospital systems were forced to prioritize imaging requests, raising questions regarding how strictly the established guidelines for echocardiographic assessment were being followed during the peak of the crisis.
In this high-pressure environment, determining the true prognostic weight of specific cardiac findings was essential. TTE allows for an immediate, non-invasive look at cardiac morphology, yet its accuracy depends heavily on the sonographer's proficiency[4]. Applying standard appropriate use criteria (AUC) to COVID-19 patients proved difficult, as these individuals often presented with complex, overlapping comorbidities[5]. While international societies rapidly updated their protocols, the long-term effectiveness of these adaptations in predicting patient survival remained largely unverified. In particular, the prognostic significance of RV strain and dilatation required deeper scrutiny, as it had not been fully characterized in the early stages of the pandemic[6].
Despite the transition from a pandemic state to an endemic phase, the cardiovascular risks associated with COVID-19 remain a serious concern. Currently, there is a worrisome trend among health authorities and the general public to overlook the severity of the virus[7]. This diminished vigilance could lead to a failure in identifying cardiovascular complications in both acute and post-infectious stages[8]. Therefore, it is crucial to maintain a high clinical suspicion and utilize diagnostic tools capable of detecting subclinical cardiac damage that might otherwise be missed.
The persistence of cardiopulmonary sequelae continues to strain healthcare resources. Many patients still experience lingering RV dysfunction, making echocardiography a cornerstone of long-term follow-up. However, the scarcity of experts for precise interpretation remains a challenge. The emergence of artificial intelligence (AI) offers a path forward, providing automated, consistent quantification of ventricular geometry[9]. To succeed, these AI systems must be trained on high-quality, diverse datasets that capture the full range of echocardiographic phenotypes observed throughout the pandemic. This research addresses these gaps by linking RV dilatation and strain to clinical outcomes while auditing the application of AUC in a pandemic setting. By systematically analyzing these parameters, we provide a robust dataset that not only informs current clinical practice but also serves as a baseline for developing future AI-driven diagnostic supports. As we continue to manage both new infections and chronic cardiovascular aftereffects, optimizing TTE use remains a priority. Consequently, this study sought to determine the prognostic impact of RV abnormalities and evaluate the adherence to appropriateness criteria, establishing a scientific foundation for future technological integration in cardiac imaging.
This was a single-center, retrospective observational cohort study. The study was conducted to identify echocardiographic predictors of prognosis and to assess adherence to AUC for TTE in hospitalized COVID-19 patients. The study population included all adult patients (≥ 18 years) for whom a TTE was requested between March and September 2020.
This study was conducted at Hospital Universitario Nacional de Colombia, a tertiary referral teaching hospital in Bogotá, Colombia, involving patients who met the predefined inclusion and exclusion criteria. The study protocol received formal approval from the Institutional Research Ethics Committee of the Hospital Universitario Nacional de Colombia and was performed in strict accordance with the principles of the Declaration of Helsinki. As this investigation was classified as a minimal-risk documentary study based exclusively on the secondary analysis of anonymized electronic medical records, the committee granted a waiver of informed consent. Patient confidentiality and data protection were strictly maintained throughout the collection and analysis phases. Confirmed SARS-CoV-2 infection by reverse transcription polymerase chain reaction (RT-PCR), antigen, or antibody testing. Suspected SARS-CoV-2 infection, defined as: Patients presenting with respiratory symptoms (cough, dyspnea, or fever), under isolation, awaiting confirmatory testing. Patients in whom the treating medical team suspected COVID-19 infection based on non-respiratory symptoms or signs, pending confirmatory results. Patients were excluded if: (1) Electronic health records were unavailable for review; (2) Clinical follow-up could not be completed until discharge or death; (3) SARS-CoV-2 infection was ruled out at the time of the echocardiogram; and (4) Echocardiographic studies other than transthoracic modality were performed. All patients meeting inclusion criteria and evaluated between March and September 2020 were included. Given the exhaustive inclusion of all eligible cases, no formal sample size calculation was performed.
Data was processed using IBM SPSS Statistics version 25. Qualitative variables were expressed as n (%), while quantitative variables were summarized using measures of central tendency (mean, standard deviation, and coefficient of variation). For non-normally distributed variables, medians and interquartile ranges were reported. Bivariate analyses were performed to explore associations between echocardiographic and biochemical variables with mortality. Categorical variables were compared using χ2 tests. Quantitative variables following normal distribution were analyzed using Pearson’s correlation coefficient, whereas non-normally distributed variables were compared using the Mann-Whitney U test. Inter-observer agreement regarding TTE indication classification was evaluated using Cohen’s Kappa statistic. When discrepancies were identified due to prevalence bias, a prevalence-adjusted Kappa index was applied. Statistical significance was defined as a P value < 0.05.
All TTE studies performed in the cardiology unit of the Hospital Universitario Nacional were reviewed. Using the electronic medical record system, each patient’s clinical data were cross-checked to confirm suspected or confirmed SARS-CoV-2 infection at the time of TTE. Patients not meeting this criterion were excluded. Demographic information, comorbidities, clinical history, admission laboratory data, and severity scores were recorded in a structured database. Outcomes were categorized as discharge or in-hospital death. In cases of nosocomial infection, this was specifically documented along with the admission diagnosis. To identify prognostic markers and echocardiographic findings associated with mortality, a bivariate analysis compared survivors and non-survivors, calculating P values for bio
A total of 207 patients met the inclusion criteria. Among them, 58 (28%) were classified as suspected and 149 (72%) as confirmed COVID-19 cases by RT-PCR. In the suspected cohort, infection was subsequently ruled out after verification of negative results in the central laboratory database. TTEs were performed during the initial phase of clinical suspicion, before confirmation or exclusion of infection by the treating team.
In the confirmed COVID-19 subgroup (n = 149), the median age was 66 years (IQR: 56-73), and the median hospital stay was 13 days (IQR: 6-23). Women accounted for 47% (n = 70) of this cohort. The overall mortality rate was 39.6% (n = 59). The most frequent comorbidities identified in the confirmed group were hypertension (43.6%), obesity (25.0%), and diabetes mellitus (20.8%). The primary admission diagnoses included viral pneumonia (83.8%), acute respiratory distress syndrome (51.0%), septic shock (32.8%), acute kidney injury (30.2%), and pulmonary embolism (16.7%). Regarding critical care requirements, 50.3% (n = 75) of the confirmed patients required intensive care unit (ICU) management. Within this subset, 82.6% (n = 62) required invasive mechanical ventilation, and 81.3% (n = 61) received vasoactive agents. The mortality rate among patients admitted to the ICU was 60.0% (n = 45) (Tables 1 and 2).
| Variable | Total (n = 149) | ICU patients (n = 75) | Non-ICU patients (n = 74) | P value |
| Age (years) | 66 (56-73) | 66 (56-73) | 64 (54-72) | 0.450 |
| Male sex | 79 (53.0) | 42 (56.0) | 37 (50.0) | 0.460 |
| Body mass index (kg/m2) | 26.8 (24-30) | 27.2 (24-31) | 26.4 (23-29) | 0.310 |
| Comorbidities | ||||
| Hypertension | 65 (43.6) | 35 (46.7) | 30 (40.5) | 0.450 |
| Obesity | 37 (25.0) | 21 (28.0) | 16 (21.6) | 0.370 |
| Diabetes mellitus | 31 (20.8) | 18 (24.0) | 13 (17.6) | 0.340 |
| Hypothyroidism | 23 (15.4) | 12 (16.0) | 11 (14.9) | 0.850 |
| Chronic obstructive pulmonary disease | 15 (10.1) | 9 (12.0) | 6 (8.1) | 0.430 |
| Smoking history | 12 (8.1) | 7 (9.3) | 5 (6.8) | 0.570 |
| Chronic kidney disease | 8 (5.4) | 5 (6.7) | 3 (4.1) | 0.480 |
| Ischemic heart disease | 10 (6.7) | 6 (8.0) | 4 (5.4) | 0.530 |
| Heart failure (previous) | 7 (4.7) | 4 (5.3) | 3 (4.1) | 0.720 |
| Variable | Total (n = 149) | ICU patients (n = 75) | Non-ICU patients (n = 74) | P value |
| Echocardiographic findings | ||||
| Left ventricular ejection fraction < 40% | 12 (8.0) | 7 (9.3) | 5 (6.7) | 0.560 |
| Segmental wall motion abnormalities | 15 (10.1) | 9 (12.0) | 6 (8.1) | 0.430 |
| Right ventricular dilatation/overload | 40 (26.8) | 26 (34.7) | 14 (18.9) | 0.033 |
| Right ventricular dysfunction (TAPSE < 17 mm) | 9 (6.0) | 6 (8.0) | 3 (4.1) | 0.310 |
| PASP > 35 mmHg | 134 (89.9) | 69 (92.0) | 65 (87.8) | 0.390 |
| Left atrial enlargement | 15 (10.1) | 8 (10.7) | 7 (9.5) | 0.810 |
| Diastolic dysfunction (grade ≥ II) | 26 (17.4) | 15 (20.0) | 11 (14.9) | 0.410 |
| Pericardial effusion | 4 (2.7) | 3 (4.0) | 1 (1.4) | 0.360 |
| Clinical outcomes | ||||
| In-hospital mortality | 59 (39.6) | 45 (60.0) | 14 (18.9) | < 0.001 |
| Invasive mechanical ventilation | 62 (41.6) | 62 (82.7) | 0 (0.0) | < 0.001 |
| Acute kidney injury | 45 (30.2) | 37 (49.3) | 8 (10.8) | < 0.001 |
| Length of hospital stay, (days) | 13 (6-23) | 18 (11-26) | 6 (4-11) | < 0.001 |
Baseline laboratory data from the referring institution in confirmed cases (n = 149) showed a median lactate dehydrogenase (LDH) of 415 U/L (IQR: 301-562), D-dimer of 958 ng/mL (IQR: 454-2180), ferritin of 1031 ng/mL (IQR: 749-1538), C-reactive protein (CRP) of 75.3 mg/L (IQR: 23.2-157), and a lymphocyte count of 820 × 103 cells/μL. At our center, the laboratory values for the confirmed cohort were as follows: Lymphocytes 790 × 103 cells/μL (IQR: 460-1230), D-dimer 2059 ng/mL (IQR: 587-4780), LDH 445 U/L (IQR: 316-621), troponin I 0.031 ng/mL (IQR: 0.017-0.25), ferritin 958 ng/mL (IQR: 494-2102), and CRP 112.9 mg/L (IQR: 50-185). Variables significantly associated with in-hospital mortality in the bivariate analysis included leukocyte count (P = 0.001), neutrophil count (P < 0.001), lymphocyte count (P = 0.003), hemoglobin (P = 0.026), LDH (P = 0.018), and CRP (P = 0.006) (Table 3).
| Parameter | Survivors (n = 90) | Non-survivors (n = 59) | P value |
| Biomarkers | |||
| Lymphocytes (× 103/μL) | 980 (629-1270) | 700 (550-910) | 0.003 |
| Leukocytes (cells/μL) | 9125 (7155-14037) | 11805 (9238-16473) | 0.001 |
| Neutrophils (cells/μL) | 7460 (5426-11965) | 9945 (7883-13869) | < 0.001 |
| Hemoglobin (g/dL) | 15.0 (11-17) | 14.0 (13-15) | 0.026 |
| Platelets (×103/μL) | 291 (224-381) | 234 (174-331) | 0.003 |
| D-dimer (ng/mL) | 2,023 (750-3450) | 2,761 (879-6900) | 0.155 |
| LDH (U/L) | 454 (307-610) | 506 (379-736) | 0.018 |
| C-reactive protein (mg/L) | 95 (43-146) | 148 (84-196) | 0.006 |
| Quantitative echo parameters | |||
| E/e′ ratio | 10 (10-12) | 10 (9-12.8) | 0.334 |
| PASP (mmHg) | 42.5 (39.5-51.8) | 48 (44-51) | 0.087 |
| LVEF (%) | 60 (55.5-65) | 60 (55-65) | 0.959 |
| TAPSE (mm) | 22 (20-23) | 23 (19.8-25) | 0.590 |
| Qualitative findings | |||
| Prone position during imaging | 3 (3.3) | 8 (13.6) | 0.026 |
| RV dilatation/overload | 17 (18.9) | 22 (37.3) | 0.008 |
| Regional wall-motion abnormality | 9 (10.0) | 6 (10.) | 0.062 |
| Diastolic dysfunction (any) | 43 (47.8) | 43 (72.9) | 0.197 |
In confirmed COVID-19 patients (n = 149), the median left ventricular ejection fraction (LVEF) was 60% (IQR: 57-65), and the left ventricular outflow tract velocity-time integral was 19.4 cm (IQR: 17.2-22.1). Segmental wall motion abnormalities were identified in 10.1% (n = 15) of patients. Left ventricular diastolic dysfunction was present in 100 patients (67.1%), predominantly grade I (72%), followed by grade II (19%) and grade III (7%); classification was indeterminate in 2%. The median E/e′ ratio was 10 (IQR: 8.25-12.85). Regarding RV assessment, 26.8% (n = 40) of patients exhibited RV dilatation or signs of pressure/volume overload. The median TAPSE was 22 mm (IQR: 20-24) and the median pulmonary artery systolic pressure was 46 mmHg (IQR: 41-51). Valvular abnormalities were observed in 14.1% (n = 21) of cases, primarily involving the mitral valve, and pericardial findings were noted in five cases (four effusions and one pneumopericardium). Among echocardiographic and procedural parameters in the bivariate analysis, performing the study in the prone position (P = 0.026) and the presence of RV dilatation or overload (P = 0.008) were significantly associated with in-hospital mortality (Table 3).
An institutional algorithm for urgent echocardiography in patients with confirmed COVID-19 was developed based on regional and international consensus recommendations. The most frequent clinical indications in this cohort were suspected heart failure, hemodynamic instability, and significant biomarker elevation. According to the ASE 2020 priority criteria, 147 studies (98.6%) were categorized as high-priority, primarily due to new or worsening cardiovascular symptoms or the need for pre-therapeutic evaluation in the critically ill. The prevalence-adjusted bias-adjusted kappa between the two cardiologists for ASE priority was 0.96, reflecting excellent inter-observer agreement. In this high-priority confirmed group, TTE findings led to a change in clinical management (clinical impact) in 80.5% of cases.
Using the ACCF 2011 AUC specifically for the confirmed cohort, the most frequent indications were follow-up of known structural disease (24.8%), suspected pulmonary embolism (13.4%), and assessment of ventricular function in acute coronary syndrome (10.1%). The Cohen’s kappa for appropriateness classification (appropriate, inappropriate, or uncertain) remained robust at 0.798, indicating good agreement. Within the confirmed cases, 118 (79.2%) studies were deemed appropriate, 27 (18.1%) inappropriate, and 4 (2.7%) uncertain. A change in clinical management occurred in 83%, 67%, and 75% of these groups, respectively. Notably, in 25 patients (16.8%) of the confirmed cohort, TTE findings were not explicitly integrated into the final clinical decision-making process (Table 4).
| Parameter | n (%) |
| Echocardiographic Indications (institutional algorithm) | |
| Suspicion of heart failure | 127 (85.2) |
| Elevated biomarkers with hemodynamic instability | 38 (25.5) |
| Hemodynamic instability refractory to fluids/vasopressors | 23 (15.4) |
| Myocardial infarction (universal definition) | 19 (12.8) |
| Tachyarrhythmias (sinus or ventricular) | 12 (8.1) |
| Cardiomegaly on imaging | 9 (6.0) |
| No urgent indication | 6 (4.0) |
| ASE 2020 clinical priority | |
| High priority-change in cardiovascular symptoms | 144 (96.6) |
| High priority-pre-therapy evaluation | 3 (2.0) |
| Intermediate/low priority | 2 (1.4) |
| ACCF 2011 appropriateness criteria | |
| Appropriate | 118 (79.2) |
| Inappropriate | 27 (18.1) |
| Uncertain | 4 (2.7) |
| Clinical impact of echocardiographic findings | |
| Overall change in clinical management (impact) | 120 (80.5) |
| Specific changes (within impact group) | |
| Non-cardiac etiology identified | 66 (55.0) |
| Cardiac primary etiology documented | 47 (39.1) |
| Change in pharmacologic therapy | 33 (27.5) |
| Request for additional diagnostic tests | 21 (17.5) |
| Adjustment of vasopressors or inotropic agents | 14 (11.6) |
| Consultation to other specialties | 7 (5.8) |
| Adjustment in mechanical ventilation | 4 (3.3) |
| No change in clinical management | 29 (19.5) |
| Integration into clinical decision-making | |
| Findings explicitly considered | 124 (83.2) |
| Findings not considered in medical records | 25 (16.8) |
The most frequent effect was clarification toward a non-cardiac etiology, followed by identification of a primary cardiac cause and adjustment of pharmacologic therapy (Table 4). Inter-observer agreement for the “clinical impact” variable yielded a Cohen’s kappa = 0.887 (95%CI: 0.81-0.96), demonstrating strong consistency in classification between reviewers (change, no change, or not assessable).
Echocardiography remains a multifaceted cornerstone in cardiovascular diagnostics, providing critical, real-time data on cardiac architecture and hemodynamics. In the context of severe respiratory failure, the ability to obtain immediate bedside information is invaluable. Prior research has consistently underscored the predictive utility of this modality in tailoring therapies for hospitalized patients facing suspected coronary syndromes, acute heart failure, or undifferentiated circulatory collapse[10]. Furthermore, the ACCF emphasizes that a systematic application of ultrasound can fun
Data from this investigation establish that RV dilatation or overload stands as the sole significant echocardiographic predictor of mortality in patients with confirmed COVID-19. The strong association between RV impairment and fatal outcomes (P = 0.008) suggests that right-heart strain-triggered by acute pulmonary vascular resistance and extensive parenchymal damage-is a primary driver of clinical deterioration in these patients. Furthermore, the research de
| 1. | Ashton RE, Philips BE, Faghy M. The acute and chronic implications of the COVID-19 virus on the cardiovascular system in adults: A systematic review. Prog Cardiovasc Dis. 2023;76:31-37. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 15] [Cited by in RCA: 11] [Article Influence: 3.7] [Reference Citation Analysis (0)] |
| 2. | Chotalia M, Ali M, Alderman JE, Kalla M, Parekh D, Bangash MN, Patel JM. Right Ventricular Dysfunction and Its Association With Mortality in Coronavirus Disease 2019 Acute Respiratory Distress Syndrome. Crit Care Med. 2021;49:1757-1768. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 36] [Cited by in RCA: 46] [Article Influence: 9.2] [Reference Citation Analysis (0)] |
| 3. | Sewanan LR, Clerkin KJ, Tucker NR, Tsai EJ. How Does COVID-19 Affect the Heart? Curr Cardiol Rep. 2023;25:171-184. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 12] [Cited by in RCA: 19] [Article Influence: 6.3] [Reference Citation Analysis (0)] |
| 4. | Liao M, Pan J, Liao T, Liu X, Wang L. Transthoracic echocardiographic assessment of ventricular function in functional single ventricle: a comprehensive review. Cardiovasc Ultrasound. 2025;23:9. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 3] [Reference Citation Analysis (0)] |
| 5. | Gomez JMD, Zimmerman AC, du Fay de Lavallaz J, Wagner J, Tung L, Bouroukas A, Nguyen TTP, Canzolino J, Goldberg A, Santos Volgman A, Suboc T, Rao AK. Echocardiographic predictors of mortality and morbidity in COVID-19 disease using focused cardiovascular ultrasound. Int J Cardiol Heart Vasc. 2022;39:100982. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 4] [Reference Citation Analysis (0)] |
| 6. | Lee T, Omar A, Bella J. COVID-19 and the Heart: Lessons Learned and Future Research Directions. Cardiogenetics. 2024;14:51-58. [DOI] [Full Text] |
| 7. | Rakhshani T, Ghalehgolab F, Bahrami MA, Karimi S, Hamrah H, Jafari F, Khani Jeihooni A. Exploration of the Challenges of COVID-19 from the Perspective of Emergency Medicine Specialists. Emerg Med Int. 2024;2024:5536103. [RCA] [PubMed] [DOI] [Full Text] [Cited by in RCA: 2] [Reference Citation Analysis (0)] |
| 8. | Vosko I, Zirlik A, Bugger H. Impact of COVID-19 on Cardiovascular Disease. Viruses. 2023;15:508. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 5] [Cited by in RCA: 71] [Article Influence: 23.7] [Reference Citation Analysis (0)] |
| 9. | Lafitte S, Lafitte L, Jonveaux M, Pascual Z, Ternacle J, Dijos M, Bonnet G, Reant P, Bernard A. Integrating artificial intelligence into an echocardiography department: Feasibility and comparative study of automated versus human measurements in a high-volume clinical setting. Arch Cardiovasc Dis. 2025;118:477-488. [RCA] [PubMed] [DOI] [Full Text] [Cited by in RCA: 7] [Reference Citation Analysis (0)] |
| 10. | Ommen SR, Mital S, Burke MA, Day SM, Deswal A, Elliott P, Evanovich LL, Hung J, Joglar JA, Kantor P, Kimmelstiel C, Kittleson M, Link MS, Maron MS, Martinez MW, Miyake CY, Schaff HV, Semsarian C, Sorajja P. 2020 AHA/ACC Guideline for the Diagnosis and Treatment of Patients With Hypertrophic Cardiomyopathy: A Report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation. 2020;142:e558-e631. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 249] [Cited by in RCA: 261] [Article Influence: 43.5] [Reference Citation Analysis (0)] |
| 11. | Levine GN, Bates ER, Blankenship JC, Bailey SR, Bittl JA, Cercek B, Chambers CE, Ellis SG, Guyton RA, Hollenberg SM, Khot UN, Lange RA, Mauri L, Mehran R, Moussa ID, Mukherjee D, Nallamothu BK, Ting HH. 2011 ACCF/AHA/SCAI Guideline for Percutaneous Coronary Intervention: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines and the Society for Cardiovascular Angiography and Interventions. Circulation. 2011;124:e574-e651. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 837] [Cited by in RCA: 921] [Article Influence: 61.4] [Reference Citation Analysis (4)] |
| 12. | Nagueh SF, Sanborn DY, Oh JK, Anderson B, Billick K, Derumeaux G, Klein A, Koulogiannis K, Mitchell C, Shah A, Sharma K, Smiseth OA, Tsang TSM. Recommendations for the Evaluation of Left Ventricular Diastolic Function by Echocardiography and for Heart Failure With Preserved Ejection Fraction Diagnosis: An Update From the American Society of Echocardiography. J Am Soc Echocardiogr. 2025;38:537-569. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 149] [Cited by in RCA: 150] [Article Influence: 150.0] [Reference Citation Analysis (1)] |
| 13. | Suciu H, Călburean PA, Huțanu A, Oprica M, Opriș DR, Scurtu AC, Stan A, Aniței D, Brînzaniuc K, Hadadi L, Harpa M. Natriuretic Peptides and Soluble ST2 Improve Echocardiographic and Invasive Long-Term Survival Prediction in Patients Evaluated for Diastolic Dysfunction. Int J Mol Sci. 2025;26:3713. [RCA] [PubMed] [DOI] [Full Text] [Cited by in RCA: 1] [Reference Citation Analysis (0)] |
| 14. | Kirkpatrick JN, Mitchell C, Taub C, Kort S, Hung J, Swaminathan M. ASE Statement on Protection of Patients and Echocardiography Service Providers During the 2019 Novel Coronavirus Outbreak: Endorsed by the American College of Cardiology. J Am Soc Echocardiogr. 2020;33:648-653. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 145] [Cited by in RCA: 153] [Article Influence: 25.5] [Reference Citation Analysis (0)] |
| 15. | Sun K, Cedarbaum E, Hill CA, Win S, Parikh NI, Hsue PY, Durstenfeld MS. Association of Right Ventricular Dilation on Echocardiogram With In-Hospital Mortality Among Patients Hospitalized With COVID-19 Compared With Bacterial Pneumonia. J Am Soc Echocardiogr. 2023;36:558-562. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 3] [Cited by in RCA: 5] [Article Influence: 1.7] [Reference Citation Analysis (0)] |
| 16. | Jozwiak M, Dupuis C, Denormandie P, Aurenche Mateu D, Louchet J, Heme N, Mira JP, Doyen D, Dellamonica J. Right ventricular injury in critically ill patients with COVID-19: a descriptive study with standardized echocardiographic follow-up. Ann Intensive Care. 2024;14:14. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 1] [Cited by in RCA: 5] [Article Influence: 2.5] [Reference Citation Analysis (0)] |
| 17. | Kirkpatrick JN, Swaminathan M, Adedipe A, Garcia-Sayan E, Hung J, Kelly N, Kort S, Nagueh S, Poh KK, Sarwal A, Strachan GM, Topilsky Y, West C, Wiener DH. American Society of Echocardiography COVID-19 Statement Update: Lessons Learned and Preparation for Future Pandemics. J Am Soc Echocardiogr. 2023;36:1127-1139. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 1] [Cited by in RCA: 10] [Article Influence: 3.3] [Reference Citation Analysis (0)] |
| 18. | Ceriello A. Hyperglycemia and the worse prognosis of COVID-19. Why a fast blood glucose control should be mandatory. Diabetes Res Clin Pract. 2020;163:108186. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 50] [Cited by in RCA: 56] [Article Influence: 9.3] [Reference Citation Analysis (0)] |
| 19. | Bornstein SR, Rubino F, Khunti K, Mingrone G, Hopkins D, Birkenfeld AL, Boehm B, Amiel S, Holt RI, Skyler JS, DeVries JH, Renard E, Eckel RH, Zimmet P, Alberti KG, Vidal J, Geloneze B, Chan JC, Ji L, Ludwig B. Practical recommendations for the management of diabetes in patients with COVID-19. Lancet Diabetes Endocrinol. 2020;8:546-550. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 683] [Cited by in RCA: 573] [Article Influence: 95.5] [Reference Citation Analysis (3)] |
| 20. | Szekely Y, Lichter Y, Taieb P, Banai A, Hochstadt A, Merdler I, Gal Oz A, Rothschild E, Baruch G, Peri Y, Arbel Y, Topilsky Y. Spectrum of Cardiac Manifestations in COVID-19: A Systematic Echocardiographic Study. Circulation. 2020;142:342-353. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 444] [Cited by in RCA: 437] [Article Influence: 72.8] [Reference Citation Analysis (0)] |
| 21. | Li Y, Li H, Zhu S, Xie Y, Wang B, He L, Zhang D, Zhang Y, Yuan H, Wu C, Sun W, Zhang Y, Li M, Cui L, Cai Y, Wang J, Yang Y, Lv Q, Zhang L, Xie M. Prognostic Value of Right Ventricular Longitudinal Strain in Patients With COVID-19. JACC Cardiovasc Imaging. 2020;13:2287-2299. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 322] [Cited by in RCA: 333] [Article Influence: 55.5] [Reference Citation Analysis (1)] |
| 22. | Bursi F, Santangelo G, Barbieri A, Vella AM, Toriello F, Valli F, Sansalone D, Carugo S, Guazzi M. Impact of Right Ventricular-Pulmonary Circulation Coupling on Mortality in SARS-CoV-2 Infection. J Am Heart Assoc. 2022;11:e023220. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 1] [Cited by in RCA: 13] [Article Influence: 3.3] [Reference Citation Analysis (0)] |
| 23. | Puntmann VO, Carerj ML, Wieters I, Fahim M, Arendt C, Hoffmann J, Shchendrygina A, Escher F, Vasa-Nicotera M, Zeiher AM, Vehreschild M, Nagel E. Outcomes of Cardiovascular Magnetic Resonance Imaging in Patients Recently Recovered From Coronavirus Disease 2019 (COVID-19). JAMA Cardiol. 2020;5:1265-1273. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 1820] [Cited by in RCA: 1516] [Article Influence: 252.7] [Reference Citation Analysis (2)] |
| 24. | Xue L, Yang Y, Sun B, Liu B, Zeng Q, Xiong C. Mildly Elevated Pulmonary Arterial Pressure Is Associated With a High Risk of Progression to Pulmonary Hypertension and Increased Mortality: A Systematic Review and Meta-Analysis. J Am Heart Assoc. 2021;10:e018374. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in Crossref: 1] [Cited by in RCA: 11] [Article Influence: 2.2] [Reference Citation Analysis (0)] |
| 25. | Merz A, Ran H, Chiu CY, Dreger H, Morris DA, Schneider-Reigbert M. Iatrogenic Pneumopericardium After Pericardiocentesis: A Systematic Review and Case Report. J Cardiovasc Dev Dis. 2025;12:246. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 1] [Reference Citation Analysis (0)] |
| 26. | Hong GH, Hays AG, Gilotra NA. The Evolving Role of Echocardiography During the Coronavirus Disease 2019 Pandemic. Heart Int. 2022;16:28-36. [RCA] [PubMed] [DOI] [Full Text] [Cited by in Crossref: 2] [Cited by in RCA: 3] [Article Influence: 0.8] [Reference Citation Analysis (0)] |
| 27. | King SJ, Williamson C, Wheaten SA, Lobo JJ, Miller PF, Weickert TP, Hinderliter AL, Stouffer GA. High Rates of Echocardiographic Abnormalities in an Underserved Population. JACC Adv. 2023;2:100618. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 3] [Reference Citation Analysis (0)] |
| 28. | Rawat A, Vyas K. Neutrophil-to-Lymphocyte Ratio as a Predictor of Mortality and Clinical Outcomes in Heart Failure Patients. Cureus. 2025;17:e83359. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 2] [Reference Citation Analysis (0)] |
| 29. | Jimenez-Trinidad FR, Solanes N, Arrieta M, Llonch B, Roqué M, Freixa X, Brugaletta S, Ortega-Paz L, Rodríguez JJ, Cepas-Guillen P, Vilhaur G, Sabaté M, Dantas AP, Tura-Ceide O, Rigol M. Myocardial infarction induces endothelial dysfunction with independence of cardiovascular risk factors. Angiogenesis. 2025;28:52. [RCA] [PubMed] [DOI] [Full Text] [Cited by in RCA: 1] [Reference Citation Analysis (0)] |
| 30. | Hnat T, Veselka J, Honek J. Left ventricular reverse remodelling and its predictors in non-ischaemic cardiomyopathy. ESC Heart Fail. 2022;9:2070-2083. [RCA] [PubMed] [DOI] [Full Text] [Full Text (PDF)] [Cited by in RCA: 40] [Reference Citation Analysis (0)] |