RESUMEN

BACKGROUND AND OBJECTIVE: Chronic obstructive pulmonary disease (COPD) is a leading cause of death worldwide that frequently presents with concomitant cardiovascular diseases. Despite the pathological distinction between individual COPD phenotypes such as emphysema and chronic bronchitis, there is a lack of knowledge about the impact of COPD phenotype on cardiovascular disease risk. Thus, this study aimed to utilize a nationally representative sample to investigate cardiovascular disease prevalence in patients with COPD with emphysema and chronic bronchitis phenotypes. METHODS: Data from 31,560 adults including 2504 individuals with COPD, collected as part of the National Health and Nutrition Examination Survey (1999-2018), were examined. RESULTS: A significantly increased cardiovascular disease risk, including coronary heart disease, heart failure, myocardial infarction and stroke, was identified in patients with COPD among all disease phenotypes. Particularly, compared to those without COPD, individuals with chronic bronchitis presented with 1.76 (95% CI: 1.41-2.20) times greater odds, individuals with emphysema with 2.31 (95% CI: 1.80-2.96) times greater odds, while those with a concurrent phenotype (combined chronic bronchitis and emphysema) exhibited 2.98 (95% CI: 2.11-4.21) times greater odds of reporting cardiovascular diseases. CONCLUSION: Our data confirms that patients with COPD present an elevated risk of developing cardiovascular disease among all phenotypes, with the most marked increase being in those with concurrent chronic bronchitis and emphysema phenotypes. These findings emphasize the need for awareness and appropriate cardiovascular screening in COPD.

RESUMEN

The permanently growing interest in amateur and professional sports activities among young, middle-aged and elderly athletes raises serious concerns about athletes' health, the safety of physical training, and the sports-related risk of sudden cardiac death and other cardiovascular complications during exercise. In recent years there has been an increasing number of cases of sudden cardiac death during physical effort. At present, life expectancy in the most developed countries grows rapidly and the number of people >65 years dramatically increases. Moreover, biological age of the population is lower. Subsequently, relevant increase in the number of elderly athletes involved in various types of sports activities has been reported in many countries. It was also demonstrated that physical activity has strong beneficial effect on cognitive functions, psychomotor performance and thus exercise capacity, which is very important for the elderly people in their everyday routine activities. Nonetheless, it should be remembered that participation in amateur and professional sports activities may be associated with risk of serious cardiovascular events in the elderly athletes often suffering from various civilization diseases. It is also reported that the number of elderly people after interventional cardiology procedures, open heart surgery and cancer treatment (chemotherapy, radiotherapy), who wish to participate in various sports activities, systematically grows. The authors of the paper conduct a literature review on cardiovascular risk assessment in the elderly athletes including the contemporary cardiology diagnostic methods and diagnostic schemes to prevent sudden cardiac death and other cardiovascular events during exercise. The controversies over efficacy of particular diagnostic tools to detect cardiovascular diseases in the elderly athletes and worldwide epidemiologic data concerning risk of sudden cardiac death during physical exercise have been also presented. Here, the authors have derived suggestions for establishment of comprehensive diagnostic schemes to prevent sudden cardiac death during sports activities. Med Pr Work Health Saf. 2024;75(3):233-241.

Asunto(s)

RESUMEN

BACKGROUND: Cardiovascular disease (CVD) is the leading cause of death worldwide, but prevalence estimates in former professional athletes are limited. OBJECTIVES: HUDDLE (Heart Health: Understanding and Diagnosing Disease by Leveraging Echocardiograms) aimed to raise awareness and estimate the prevalence of CVD and associated risk factors among members of the National Football League (NFL) Alumni Association and their families through education and screening events. METHODS: HUDDLE was a multicity, cross-sectional study of NFL alumni and family members aged 50 years and older. Subjects reported their health history and participated in CVD education and screening (blood pressure, electrocardiogram, and transthoracic echocardiogram [TTE] assessments). Phone follow-up by investigators occurred 30 days postscreening to review results and recommendations. This analysis focuses on former NFL athletes. RESULTS: Of 498 participants screened, 57.2% (N = 285) were former NFL players, the majority of whom were African American (67.6%). The prevalence of hypertension among NFL alumni was estimated to be 89.8%, though only 37.5% reported a history of hypertension. Of 285 evaluable participants, 61.8% had structural cardiac abnormalities by TTE. Multivariable analysis showed that hypertension was a significant predictor of clinically relevant structural abnormalities on TTE. CONCLUSIONS: HUDDLE identified a large discrepancy between participant self-awareness and actual prevalence of CVD and risk factors, highlighting a significant opportunity for population health interventions. Structural cardiac abnormalities were observed in most participants and were independently predicted by hypertension, affirming the role of TTE for CVD screening in this population aged older than 50 years. (Heart Health: Understanding and Diagnosing Disease by Leveraging Echocardiograms [HUDDLE]; NCT05009589).

Asunto(s)

RESUMEN

AIM: Hypertension and diabetes mellitus (DM) are major causes of morbidity and mortality, with growing burdens in low-income countries where they are underdiagnosed and undertreated. Advances in machine learning may provide opportunities to enhance diagnostics in settings with limited medical infrastructure. MATERIALS AND METHODS: A non-interventional study was conducted to develop and validate a machine learning algorithm to estimate cardiovascular clinical and laboratory parameters. At two sites in Kenya, digital retinal fundus photographs were collected alongside blood pressure (BP), laboratory measures and medical history. The performance of machine learning models, originally trained using data from the UK Biobank, were evaluated for their ability to estimate BP, glycated haemoglobin, estimated glomerular filtration rate and diagnoses from fundus images. RESULTS: In total, 301 participants were enrolled. Compared with the UK Biobank population used for algorithm development, participants from Kenya were younger and would probably report Black/African ethnicity, with a higher body mass index and prevalence of DM and hypertension. The mean absolute error was comparable or slightly greater for systolic BP, diastolic BP, glycated haemoglobin and estimated glomerular filtration rate. The model trained to identify DM had an area under the receiver operating curve of 0.762 (0.818 in the UK Biobank) and the hypertension model had an area under the receiver operating curve of 0.765 (0.738 in the UK Biobank). CONCLUSIONS: In a Kenyan population, machine learning models estimated cardiovascular parameters with comparable or slightly lower accuracy than in the population where they were trained, suggesting model recalibration may be appropriate. This study represents an incremental step toward leveraging machine learning to make early cardiovascular screening more accessible, particularly in resource-limited settings.

Asunto(s)

RESUMEN

Background: Current risk stratification strategies for heart failure (HF) risk require either specific blood-based biomarkers or comprehensive clinical evaluation. In this study, we evaluated the use of artificial intelligence (AI) applied to images of electrocardiograms (ECGs) to predict HF risk. Methods: Across multinational longitudinal cohorts in the integrated Yale New Haven Health System (YNHHS) and in population-based UK Biobank (UKB) and Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), we identified individuals without HF at baseline. Incident HF was defined based on the first occurrence of an HF hospitalization. We evaluated an AI-ECG model that defines the cross-sectional probability of left ventricular dysfunction from a single image of a 12-lead ECG and its association with incident HF. We accounted for the competing risk of death using the Fine-Gray subdistribution model and evaluated the discrimination using Harrel's c-statistic. The pooled cohort equations to prevent HF (PCP-HF) were used as a comparator for estimating incident HF risk. Results: Among 231,285 individuals at YNHHS, 4472 had a primary HF hospitalization over 4.5 years (IQR 2.5-6.6) of follow-up. In UKB and ELSA-Brasil, among 42,741 and 13,454 people, 46 and 31 developed HF over a follow-up of 3.1 (2.1-4.5) and 4.2 (3.7-4.5) years, respectively. A positive AI-ECG screen portended a 4-fold higher risk of incident HF among YNHHS patients (age-, sex-adjusted HR [aHR] 3.88 [95% CI, 3.63-4.14]). In UKB and ELSA-Brasil, a positive-screen ECG portended 13- and 24-fold higher hazard of incident HF, respectively (aHR: UKBB, 12.85 [6.87-24.02]; ELSA-Brasil, 23.50 [11.09-49.81]). The association was consistent after accounting for comorbidities and the competing risk of death. Higher model output probabilities were progressively associated with a higher risk for HF. The model's discrimination for incident HF was 0.718 in YNHHS, 0.769 in UKB, and 0.810 in ELSA-Brasil. Across cohorts, incorporating model probability with PCP-HF yielded a significant improvement in discrimination over PCP-HF alone. Conclusions: An AI model applied to images of 12-lead ECGs can identify those at elevated risk of HF across multinational cohorts. As a digital biomarker of HF risk that requires just an ECG image, this AI-ECG approach can enable scalable and efficient screening for HF risk.

RESUMEN

Seismocardiography (SCG), a method for measuring heart-induced chest vibrations, is gaining attention as a non-invasive, accessible, and cost-effective approach for cardiac pathologies, diagnosis, and monitoring. This study explores the integration of SCG acquired through smartphone technology by assessing the accuracy of metrics derived from smartphone recordings and their consistency when performed by patients. Therefore, we assessed smartphone-derived SCG's reliability in computing median kinetic energy parameters per record in 220 patients with various cardiovascular conditions. The study involved three key procedures: (1) simultaneous measurements of a validated hardware device and a commercial smartphone; (2) consecutive smartphone recordings performed by both clinicians and patients; (3) patients' self-conducted home recordings over three months. Our findings indicate a moderate-to-high reliability of smartphone-acquired SCG metrics compared to those obtained from a validated device, with intraclass correlation (ICC) > 0.77. The reliability of patient-acquired SCG metrics was high (ICC > 0.83). Within the cohort, 138 patients had smartphones that met the compatibility criteria for the study, with an observed at-home compliance rate of 41.4%. This research validates the potential of smartphone-derived SCG acquisition in providing repeatable SCG metrics in telemedicine, thus laying a foundation for future studies to enhance the precision of at-home cardiac data acquisition.

Asunto(s)

RESUMEN

Tactical athletes are individuals in the military, law enforcement, and other professions whose occupations have significant physical fitness requirements coupled with the potential for exposure to life-threatening situations. Such exposures can have varied hemodynamic effects on the cardiovascular system. It is crucial that their clinical evaluation is inclusive of specific occupational requirements. Safety protocols regarding medical clearance are relatively more stringent for this population than for competitive athletes due to the increased impact to the tactical athlete, their team, and the population they aim to serve and protect should they experience a cardiovascular event on the job.

Asunto(s)

RESUMEN

Atrial flutter (AFL) is typically associated with structural heart diseases or metabolic abnormalities. However, isolated symptomatic AFL, which occurs without abnormal heart anatomy, remains a rare occurrence and is underrepresented in the literature. This case report highlights the significance of recognizing and investigating symptoms suggestive of arrhythmias, especially in patients with autoimmune conditions.

RESUMEN

Aims: Left ventricular hypertrophy (LVH) is an established, independent predictor of cardiovascular disease. Indices derived from the electrocardiogram (ECG) have been used to infer the presence of LVH with limited sensitivity. This study aimed to classify LVH defined by cardiovascular magnetic resonance (CMR) imaging using the 12-lead ECG for cost-effective patient stratification. Methods and results: We extracted ECG biomarkers with a known physiological association with LVH from the 12-lead ECG of 37 534 participants in the UK Biobank imaging study. Classification models integrating ECG biomarkers and clinical variables were built using logistic regression, support vector machine (SVM) and random forest (RF). The dataset was split into 80% training and 20% test sets for performance evaluation. Ten-fold cross validation was applied with further validation testing performed by separating data based on UK Biobank imaging centres. QRS amplitude and blood pressure (P < 0.001) were the features most strongly associated with LVH. Classification with logistic regression had an accuracy of 81% [sensitivity 70%, specificity 81%, Area under the receiver operator curve (AUC) 0.86], SVM 81% accuracy (sensitivity 72%, specificity 81%, AUC 0.85) and RF 72% accuracy (sensitivity 74%, specificity 72%, AUC 0.83). ECG biomarkers enhanced model performance of all classifiers, compared to using clinical variables alone. Validation testing by UK Biobank imaging centres demonstrated robustness of our models. Conclusion: A combination of ECG biomarkers and clinical variables were able to predict LVH defined by CMR. Our findings provide support for the ECG as an inexpensive screening tool to risk stratify patients with LVH as a prelude to advanced imaging.

RESUMEN

Rationale and objectives: We previously reported a novel manual method for measuring bone mineral density (BMD) in coronary artery calcium (CAC) scans and validated our method against Dual X-Ray Absorptiometry (DEXA). Furthermore, we have developed and validated an artificial intelligence (AI) based automated BMD (AutoBMD) measurement as an opportunistic add-on to CAC scans that recently received FDA approval. In this report, we present evidence of equivalency between AutoBMD measurements in cardiac vs lung CT scans. Materials and methods: AI models were trained using 132 cases with 7649 (3 mm) slices for CAC, and 37 cases with 21918 (0.5 mm) slices for lung scans. To validate AutoBMD against manual measurements, we used 6776 cases of BMD measured manually on CAC scans in the Multi-Ethnic Study of Atherosclerosis (MESA). We then used 165 additional cases from Harbor UCLA Lundquist Institute to compare AutoBMD in patients who underwent both cardiac and lung scans on the same day. Results: Mean±SD for age was 69 ± 9.4 years with 52.4% male. AutoBMD in lung and cardiac scans, and manual BMD in cardiac scans were 153.7 ± 43.9, 155.1 ± 44.4, and 163.6 ± 45.3 g/cm3, respectively (p = 0.09). Bland-Altman agreement analysis between AutoBMD lung and cardiac scans resulted in 1.37 g/cm3 mean differences. Pearson correlation coefficient between lung and cardiac AutoBMD was R2 = 0.95 (p < 0.0001). Conclusion: Opportunistic BMD measurement using AutoBMD in CAC and lung cancer screening scans is promising and yields similar results. No extra radiation plus the high prevalence of asymptomatic osteoporosis makes AutoBMD an ideal screening tool for osteopenia and osteoporosis in CT scans done for other reasons.

RESUMEN

BACKGROUND: By the mid-20th century, cardiovascular disease (CVD) had become an important cause of mortality and morbidity in developed countries. The aim was to set up a pilot study to screen citizens aged 45-59 in order to identify modifiable risk factors (RFs). METHODS: Our study was conducted from February 2019 to February 2020 on citizens of a population of central Italy, aged 45-59, contacted by letter. The variables evaluated were lipid profile, glycemia, anthropometric parameters, lifestyle and utility of screening. RESULTS: It is important to underline that from the comparison with Italian national data, our results showed that blood pressure and lipid profile had better values. On the contrary, there were some alarm bells: a high percentage (57%) of smokers (63.9 in men and 37.1 in women), a sedentary lifestyle (24.5%), and a significantly higher waist circumference than the reference cut-offs for both men and women. The organization of the screening was considered excellent by 56.3% of women and 48.4% of men, and good by 37.5% of women and 46.5% of men. CONCLUSIONS: Our study provides a picture to stakeholders of the state of the health of citizens in the area under study, in the immediate pre-pandemic period; however, it is important to underline that their state of health may be modified after the pandemic period. Furthermore, cardiovascular (CV) screening was perceived by the citizens to be important for health care.

RESUMEN

Background The purpose of this study was to determine if the use of evidence-based cognitive and cardiovascular screening prior to initiating a prevention-focused exercise program that utilizes a physical therapist (PT) direct consumer access referral model is safe. Methods A retrospective descriptive analysis of data from a prior randomized controlled trial (RCT) was performed. Two data sets emerged: Group S was screened for study inclusion but not enrolled, and Group E was enrolled and participated in preventative exercise. Participant outcomes of cognitive screenings (Mini-Cog, Trail Making Test-Part B) and cardiovascular screening (American College of Sports Medicine Exercise Pre-participation Health Screening) were extracted. Descriptive statistics were generated for demographic and outcome variables and inferential statistics were analyzed (p < 0.05). Results Records from 70 individuals (Group S) and 144 individuals (Group E) were available for analysis. Overall, 18.6% (n = 13) in Group S were not enrolled due to medical instability or potential safety considerations. The need for medical clearance prior to initiating an exercise program was identified and then clearance was obtained for 40% (n = 58) of the participants in Group E. No adverse events related to program participation were reported. Conclusions A PT-led program utilizing direct access referrals from senior centers offers a safe option for older adults to participate in individualized preventative exercise programming.

RESUMEN

BACKGROUND: The efficacy of cardiovascular screening in Masters athletes (MAs) (≥35 y), and whether screening decreases their risk of major adverse cardiac events (MACEs) is unknown. PURPOSE: To evaluate the effectiveness of yearly cardiovascular screening, and the incidence of cardiovascular disease (CVD) and MACE over five years. METHODS AND RESULTS: MAs (≥35 y) without previous history of CVD underwent yearly cardiovascular screening. Participants with an abnormal screen underwent further evaluations. In the initial year, 798 MAs (62.7% male, 55 ± 10 y) were screened; 11.4% (n = 91) were diagnosed with CVD. Coronary artery disease (CAD) was the most common diagnosis (n = 64; 53%). During follow-up, there were an additional 89 CVD diagnoses with an incidence rate of 3.58/100, 4.14/100, 3.74/100, 1.19/100, for years one to four, respectively. The most common diagnoses during follow-up were arrhythmias (n = 33; 37%). Increasing age (OR = 1.047, 95% confidence interval (CI): 1.003-1.094; P = 0.0379), Framingham Risk Score (FRS) (OR = 1.092, 95% CI: 1.031-1.158; P = 0.003), and LDL cholesterol (OR = 1.709, 95% CI: 1.223-2.401; P = 0.002) were predictive of CAD, whereas moderate intensity activity (min/wk) (OR = 0.997, 95% CI: 0.996-0.999; P = 0.002) was protective. Ten MACE (2.8/1000 athlete-years) occurred. All of these MAs were male, and 90% had ≥10% FRS. All underwent further evaluations with only two identified to have obstructive CAD. CONCLUSION: MACE occurred despite yearly screening. All MAs who had an event had an abnormal screen; however, cardiac functional tests failed to detect underlying CAD in most cases. It may be appropriate to offer computed coronary tomography angiography in MAs with ≥10% FRS to overcome the limitations of functional testing, and to assist with lifestyle and treatment modifications.

The efficacy of heart screening in Masters athletes (MAs) (≥35 y) is not well understood. This study of 798 MAs reported 10 major adverse cardiac event (MACE) over 5 years (2.8/1000 athlete-years), despite undergoing yearly screening. The MAs who had a MACE occurred only in males whom had an abnormal screen with 90% having an intermediate or higher cardiovascular risk. All of these MAs underwent further testing, however, stress tests (i.e. echocardiogram, electrocardiogram, nuclear) failed to detect underlying heart disease in most cases. Therefore, it may be appropriate to offer computed coronary tomography angiography in MAs with intermediate or higher cardiovascular risk to overcome the limitations of functional testing in this population, and to assist with lifestyle and treatment modifications.

Asunto(s)

RESUMEN

OBJECTIVE: Coronary microvascular dysfunction (CMD) is a cause of ischaemia with non-obstructive coronary arteries (INOCA). It is notoriously underdiagnosed due to the need for invasive microvascular function testing. We hypothesized that systemic microvascular dysfunction could be demonstrated non-invasively in the microcirculation of the bulbar conjunctiva in patients with CMD. METHODS: Patients undergoing coronary angiography for the investigation of chest pain or dyspnoea, with physiologically insignificant epicardial disease (fractional flow reserve ≥0.80) were recruited. All patients underwent invasive coronary microvascular function testing. We compared a cohort of patients with evidence of CMD (IMR ≥25 or CFR <2.0); to a group of controls (IMR <25 and CFR ≥2.0). Conjunctival imaging was performed using a previously validated combination of a smartphone and slit-lamp biomicroscope. This technique allows measurement of vessel diameter and other indices of microvascular function by tracking erythrocyte motion. RESULTS: A total of 111 patients were included (43 CMD and 68 controls). There were no differences in baseline demographics, co-morbidities or epicardial coronary disease severity. The mean number of vessel segments analysed per patient was 21.0 ± 12.8 (3.2 ± 3.5 arterioles and 14.8 ± 10.8 venules). In the CMD cohort, significant reductions were observed in axial/cross-sectional velocity, blood flow, wall shear rate and stress. CONCLUSION: The changes in microvascular function linked to CMD can be observed non-invasively in the bulbar conjunctiva. Conjunctival vascular imaging may have utility as a non-invasive tool to both diagnose CMD and augment conventional cardiovascular risk assessment.

Asunto(s)

RESUMEN

BACKGROUND: Atherosclerotic heart disease often remains asymptomatic until presentation with a major adverse cardiovascular event. Primary preventive therapies improve outcomes, but conventional screening often misattributes risk. Vascular imaging can be utilised to detect atherosclerosis, but often involves ionising radiation. The conjunctiva is a readily accessible vascular network allowing non-invasive hemodynamic evaluation. AIM: To compare conjunctival microcirculatory function in patients with and without obstructive coronary artery disease. METHODS: We compared the conjunctival microcirculation of myocardial infarction patients (MI-cohort) to controls with no obstructive coronary artery disease (NO-CAD cohort). Conjunctival imaging was performed using a smartphone and slit-lamp biomicroscope combination. Microvascular indices of axial (Va) and cross-sectional (Vcs) velocity; blood flow rate (Q); and wall shear rate (WSR) were compared in all conjunctival vessels between 5 and 45 µm in diameter. RESULTS: A total of 127 patients were recruited (66 MI vs 61 NO-CAD) and 3602 conjunctival vessels analysed (2414 MI vs 1188 NO-CAD). Mean Va, Vcs and Q were significantly lower in the MI vs NO-CAD cohort (Va 0.50 ± 0.17 mm/s vs 0.55 ± 0.15 mm/s, p < 0.001; Vcs 0.35 ± 0.12 mm/s vs 0.38 ± 0.10 mm/s, p < 0.001; Q 154 ± 116 pl/s vs 198 ± 130 pl/s, p < 0.001). To correct for differences in mean vessel diameter, WSR was compared in 10-36 µm vessels (3268/3602 vessels) and was lower in the MI-cohort (134 ± 64 s-1 vs 140 ± 63 s-1, p = 0.002). CONCLUSIONS: Conjunctival microcirculatory alterations can be observed in patients with obstructive coronary artery disease. The conjunctival microvasculature merits further evaluation in cardiovascular risk screening.

Asunto(s)

RESUMEN

Pre-participation screening is performed to identify underlying cardiac conditions that may also lead to sudden cardiac death. Our aim is to compare submaximal Harvard Step Test (HST) with incremental Maximal Exercise Test (MET) on treadmill to induce and detect arrhythmias in younger athletes. A total of 1000 athletes (mean age 14.6 ± 4.7 years) were evaluated, 500 with MET and 500 with HST, all with continuous ECG monitoring until three minutes of recovery. Pre-test evaluation includes medical history, clinical evaluation and resting electrocardiogram. Ventricular and/or supraventricular arrhythmias were observed in 2.6% of athletes performing HST and in 8.4% during MET (p < 0.001). Incidence of arrhythmias remained higher for MET also considering separately exercise phase (0.8% vs. 5.2%; p < 0.001) and recovery phase (2.0% vs. 6.0%; p < 0.01). No gender differences were observed. Results suggest that MET induces more arrhythmias than submaximal HST, regardless of test phase. Higher test intensity and longer exercise duration might influence test outcomes, making MET more arrhythmogenic.

Asunto(s)

RESUMEN

Tactical athletes are individuals in the military, law enforcement, and other professions whose occupations have significant physical fitness requirements coupled with the potential for exposure to life-threatening situations. Such exposures can have varied hemodynamic effects on the cardiovascular system. It is crucial that their clinical evaluation is inclusive of specific occupational requirements. Safety protocols regarding medical clearance are relatively more stringent for this population than for competitive athletes due to the increased impact to the tactical athlete, their team, and the population they aim to serve and protect should they experience a cardiovascular event on the job.

Asunto(s)

RESUMEN

The athlete's heart is a well-known phenomenon in adults practising competitive sports. Unfortunately, to date, most of the studies on training-induced cardiac remodelling have been conducted in adults and the current recommendations refer mainly to adult individuals. However, an appropriate interpretation of resting ECG and imaging in children practising sports is crucial, given the possibility of early detect life-threatening conditions and managing therapy and eligibility to sports competitions in the rapidly growing paediatric athlete population. While several articles have been published on this topic in adult athletes, a practical guide for the clinical evaluation of paediatric athletes is still missing. In this critical review, we provided a comprehensive description of the current evidence on training-induced remodelling in paediatric athletes with a practical approach for clinicians on how to interpret the resting 12-lead ECG and cardiac imaging in the paediatric athlete. Indeed, given that training may mimic potential cardiovascular disorders, clinicians evaluating children practising sports should pay attention to the risk of missing a diagnosis of a life-threatening condition. However, this risk should be balanced with the risk of overdiagnosis and unwarranted disqualification from sports practice, when interpreting an ECG as pathological while, on the contrary, it may represent a physiological expression of athlete's heart. Accordingly, we proposed an algorithm for the evaluation of normal, borderline, and abnormal ECG findings that can be useful for the readers for their daily clinical practice.

Asunto(s)

RESUMEN

Given the high cardiovascular risk accompanying end-stage kidney disease, it would be of paramount importance for the clinical nephrologist to know which screening method(s) identify high-risk patients and whether screening asymptomatic transplant candidates effectively reduces cardiovascular risk in the perioperative setting as well as in the longer term. Within this review, key studies concerning the above questions are reported and critically analyzed. The lack of unified screening criteria and of a prognostically sufficient screening cardiovascular effect for renal transplant candidates sets the foundation for a personalized patient approach in the near future and highlights the need for well-designed studies to produce robust evidence which will address the above questions.