Journal of geriatric cardiology : JGC最新文献

Background: Acute kidney injury (AKI) after coronary artery bypass graft (CABG) surgery is associated with significant morbidity and mortality. This retrospective study aimed to establish a risk score for postoperative AKI in a Chinese population.

Methods: A total of 1138 patients undergoing CABG were collected from September 2018 to May 2020 and divided into a derivation and validation cohort. AKI was defined according to the Kidney Disease Improving Global Outcomes (KDIGO) criteria. Multivariable logistic regression analysis was used to determine the independent predictors of AKI, and the predictive ability of the model was determined using a receiver operating characteristic (ROC) curve.

Results: The incidence of cardiac surgery-associated acute kidney injury (CSA-AKI) was 24.17%, and 0.53% of AKI patients required dialysis (AKI-D). Among the derivation cohort, multivariable logistic regression showed that age ≥ 70 years, body mass index (BMI) ≥ 25 kg/m², estimated glomerular filtration rate (eGFR) ≤ 60 mL/min per 1.73 m², ejection fraction (EF) ≤ 45%, use of statins, red blood cell transfusion, use of adrenaline, intra-aortic balloon pump (IABP) implantation, postoperative low cardiac output syndrome (LCOS) and reoperation for bleeding were independent predictors. The predictive model was scored from 0 to 32 points with three risk categories. The AKI frequencies were as follows: 0-8 points (15.9%), 9-17points (36.5%) and ≥ 18 points (90.4%). The area under of the ROC curve was 0.730 (95% CI: 0.691-0.768) in the derivation cohort. The predictive index had good discrimination in the validation cohort, with an area under the curve of 0.735 (95% CI: 0.655-0.815). The model was well calibrated according to the Hosmer-Lemeshow test (P = 0.372).

Conclusion: The performance of the prediction model was valid and accurate in predicting KDIGO-AKI after CABG surgery in Chinese patients, and could improve the early prognosis and clinical interventions.

Objective: To assess the association between beta-blockers and 1-year clinical outcomes in heart failure (HF) patients with atrial fibrillation (AF), and further explore this association that differs by left ventricular ejection fraction (LVEF) level.

Methods: We enrolled hospitalized HF patients with AF from China Patient-centered Evaluative Assessment of Cardiac Events Prospective Heart Failure Study. COX proportional hazard regression models were employed to calculate hazard ratio of beta-blockers. The primary outcome was all-cause death.

Results: Among 1762 HF patients with AF (756 women [41.4%]), 1041 (56%) received beta-blockers at discharge and 1272 (72.2%) had an LVEF > 40%. During one year follow up, all-cause death occurred in 305 (17.3%), cardiovascular death occurred in 203 patients (11.5%), and rehospitalizations for HF occurred in 622 patients (35.2%). After adjusting for demographic characteristics, social economic status, smoking status, medical history, anthropometric characteristics, and medications used at discharge, the use of beta-blockers at discharge was not associated with all-cause death [hazard ratio (HR): 0.86; 95% Confidence Interval (CI): 0.65-1.12; P = 0.256], cardiovascular death (HR: 0.76, 95% CI: 0.52-1.11; P = 0.160), or the composite outcome of all-cause death and HF rehospitalization (HR: 0.97, 95% CI: 0.82-1.14; P = 0.687) in the entire cohort. There were no significant interactions between use of beta-blockers at discharge and LVEF with respect to all-cause death, cardiovascular death, or composite outcome. In the adjusted models, the use of beta-blockers at discharge was not associated with all-cause death, cardiovascular death, or composite outcome across the different levels of LVEF: reduced (< 40%), mid-range (40%-49%), or preserved LVEF (≥ 50%).

Conclusion: Among HF patients with AF, the use of beta-blockers at discharge was not associated with 1-year clinical outcomes, regardless of LVEF.

Background: During the COVID-19 pandemic, the implementation of telemedicine has represented a new potential option for outpatient care. The aim of our study was to evaluate digital literacy among cardiology outpatients.

Methods: From March to June 2020, a survey on telehealth among cardiology outpatients was performed. Digital literacy was investigated through six main domains: age; sex; educational level; internet access; availability of internet sources; knowledge and use of teleconference software programs.

Results: The study included 1067 patients, median age 70 years, 41.3% females. The majority of the patients (58.0%) had a secondary school degree, but among patients aged ≥ 75 years old the most represented educational level was primary school or none. Overall, for internet access, there was a splitting between "never" (42.1%) and "every day" (41.0%), while only 2.7% answered "at least 1/month" and 14.2% "at least 1/week". In the total population, the most used devices for internet access were smartphones (59.0%), and WhatsApp represented the most used app (57.3%). Internet users were younger compared to non-internet users (63 vs. 78 years old, respectively) and with a higher educational level. Age and educational level were associated with non-use of internet (age-per 10-year increase odds ratio (OR) = 3.07, 95% CI: 2.54-3.71, secondary school OR = 0.18, 95% CI: 0.12-0.26, university OR = 0.05, 95% CI: 0.02-0.10).

Conclusions: Telemedicine represents an appealing option to implement medical practice, and for its development it is important to address the gaps in patients' digital skills, with age and educational level being key factors in this setting.

Objective: To compare the outcomes of transapical transcatheter aortic valve replacement (TA-TAVR) and surgical aortic valve replacement (SAVR) using a large US population sample.

Methods: The U.S. National Inpatient Sample was queried for all patients who underwent TA-TAVR or SAVR during the years 2016-2017. The primary outcome was all-cause in-hospital mortality. Secondary outcomes were in-hospital stroke, pericardiocentesis, pacemaker insertion, mechanical ventilation, vascular complications, major bleeding, acute kidney injury, length of stay, and cost of hospitalization. Outcomes were modeled using multi-variable logistic regression for binary outcomes and generalized linear models for continuous outcomes.

Results: A total of 1560 TA-TAVR and 44,280 SAVR patients were included. Patients who underwent TA-TAVR were older and frailer. Compared to SAVR, TA-TAVR correlated with a higher mortality (4.5% vs. 2.7%, effect size (SMD) = 0.1) and higher periprocedural complications. Following multivariable analysis, both TA-TAVR and SAVR had a similar adjusted risk for in-hospital mortality. TA-TAVR correlated with lower odds of bleeding with (adjusted OR (aOR) = 0.26; 95% CI: 0.18-0.38;P < 0.001), and a shorter length of stay (adjusted mean ratio (aMR) = 0.77; 95% CI: 0.69-0.84; P < 0.001), but higher cost (aMR = 1.18; 95% CI: 1.10-1.28; P < 0.001). No significant differences in other study outcomes. In subgroup analysis, TA-TAVR in patients with chronic lung disease had higher odds for mortality (aOR = 3.11; 95%CI: 1.37-7.08; P = 0.007).

Conclusion: The risk-adjusted analysis showed that TA-TAVR has no advantage over SAVR except for patients with chronic lung disease where TA-TAVR has higher mortality.

Telemedicine is the use of information and communication technology to deliver healthcare at a distance. It has been resorted to during the COVID-19 pandemic to lessen the need for in-person patient care decreasing the risk of transmission, and it can be of benefit afterward in the management of cardiac disease. The elderly population has unique challenges concerning the use of telehealth technologies. We thus review the advances in telemedicine technologies in treating elderly cardiac patients including in our discussion only studies with a mean age of participants above 60. Remote monitoring of blood pressure, weight, and symptoms, along with home ECG recording has been found to be superior to usual in-clinic follow up. Combining remote monitoring with video conferencing with physicians, patient education websites, and applications is also of benefit. Remote monitoring of Implantable Cardioverter Defibrillators (ICD) and Cardiac Resynchronization Therapy Defibrillators (CRT-D) is also beneficial but can be at the cost of an increase in both appropriate and inappropriate interventions. Implantable sensing devices compatible with remote monitoring have been developed and have been shown to improve care and cost-effectiveness. New smartphone software can detect arrhythmias using home ECG recordings and can detect atrial fibrillation using smartphone cameras. Remote monitoring of implanted pacemakers has shown non-inferiority to in clinic follow up. On the other hand, small-scale questionnaire-based studies demonstrated the willingness of the elderly cardiac patients to use such technologies, and their satisfaction with their use and ease of use. Large-scale studies should further investigate useability in samples more representative of the general elderly population with more diverse socioeconomic and educational backgrounds. Accordingly, it seems that studying integrating multiple technologies into telehealth programs is of great value. Further efforts should also be put in validating the technologies for specific diseases along with the legal and reimbursement aspects of the use of telehealth.